@article {pmid41787122,
year = {2026},
author = {Panagiotou, K and Geesink, P and Köstlbacher, S and de Zwaan, GH and Ettema, TJG},
title = {Diversity, ecology, cell biology and evolution of the Asgard archaea.},
journal = {Nature reviews. Microbiology},
volume = {24},
number = {6},
pages = {377-391},
pmid = {41787122},
issn = {1740-1534},
mesh = {*Archaea/genetics/classification/physiology/cytology ; Phylogeny ; Genome, Archaeal ; *Biodiversity ; *Biological Evolution ; Evolution, Molecular ; Genetic Variation ; },
abstract = {The Asgard archaea are a clade of archaea that was first discovered through metagenomic surveys of marine sediments. The past decade has witnessed a substantial expansion of their genomic diversity, revealing diverse metabolic repertoires and providing insights into their ecological interactions and function. Notably, comprehensive phylogenomic analyses, together with the identification of numerous eukaryotic signature proteins in Asgard archaeal genomes, have provided compelling evidence that Asgard archaea had a central role in the emergence of eukaryotes. Studies have reported the characterization of cultured Asgard archaeal representatives, uncovering unique cell biological characteristics hinting at thus far undescribed lifestyles. Here, we review the current state of the research field focusing on these intriguing microorganisms and outline future research directions aiming to resolve their ecology, cell biology and evolution.},
}

*Archaea/genetics/classification/physiology/cytology
Phylogeny
Genome, Archaeal
*Biodiversity
*Biological Evolution
Evolution, Molecular
Genetic Variation

@article {pmid41940696,
year = {2026},
author = {Li, Y and Zhang, H and Xiang, B and Zhang, Y and Zhang, M},
title = {Enhanced microbiota-derived mucinases in colorectal cancer patients revealed by gut metagenome probing coupled with functional validation.},
journal = {Applied and environmental microbiology},
volume = {92},
number = {5},
pages = {e0190325},
doi = {10.1128/aem.01903-25},
pmid = {41940696},
issn = {1098-5336},
support = {21TQ1400210//the Shanghai Pilot Program for Basic Research-Shanghai Jiao Tong University/ ; 32071271//National Natural Science Foundation of China/ ; 32371332//National Natural Science Foundation of China/ ; 92478203//National Natural Science Foundation of China/ ; IPP30140//College Student Innovation and Practice Program of Shanghai Jiao Tong University/ ; },
mesh = {Humans ; *Gastrointestinal Microbiome ; *Colorectal Neoplasms/microbiology ; *Metagenome ; *Bacteria/genetics/enzymology/classification/isolation & purification ; *Bacterial Proteins/genetics/metabolism ; Male ; Female ; Middle Aged ; Aged ; Phylogeny ; },
abstract = {Mucinases produced by the gut microbiota play a dual role in regulating the integrity and renewal of the mucus layer, which is essential for maintaining gut homeostasis and human health. In this study, we constructed protein hidden Markov models based on 11 known mucinases and used them to systematically identify mucinase sequences from gut metagenome-assembled genomes derived from 80 colorectal cancer (CRC) patients and 86 healthy (Healthy) subjects. A total of 1,869 mucinases were detected, widely distributed across the studied cohorts, with the majority originating from Bacteroides, Phocaeicola, and Akkermansia species. Further analysis identified 42 mucinases that differed significantly in abundance between the two groups, all of which were enriched in CRC patients. Taxonomic attribution revealed that, in CRC patients, these mucinases were primarily derived from Bacteroides (36.0%), Phocaeicola (30.6%), Akkermansia (8.8%), Alistipes (8.6%), and Escherichia (6.4%), whereas in Healthy subjects, they mainly originated from Bacteroides (26.1%), Akkermansia (22.7%), and Phocaeicola (20.3%), with a notably higher proportion from Akkermansia. Among the 42 mucinases, WL42 and LLN1 exhibited significantly higher abundance levels compared to the others. Phylogenetic and predicted structural analyses suggested that these two mucinases belonged to the M60 and M98 families, respectively. Functional validation through co-incubation experiments demonstrated that both mucinases could cleave the glycosylated MUC1 and MUC2 substrates, but not the corresponding non-glycosylated proteins. These findings confirm the feasibility of discovering novel mucinases directly from gut metagenomic data and provide insights into their potential roles in health and disease.IMPORTANCEOur study established a feasible bioinformatics pipeline for the systematic identification of microbial mucinases within the gut microbiome, providing a methodological foundation for large-scale mining of functionally active mucin-degrading enzymes. We identified 42 mucinases significantly enriched in CRC patients, suggesting their potential involvement in CRC pathogenesis. Among them, two mucinases were experimentally validated for their ability to degrade mucin, offering direct functional evidence of their capacity to disrupt the mucosal barrier. Genus-level metagenomic profiling further identified Bacteroides, Phocaeicola, and Akkermansia as major mucinase-producing genera. Maintaining the secretory balance of these mucinase-producing bacteria might be crucial for ameliorating intestinal barrier dysfunction in CRC patients. The findings of this study offer critical insights into the microbial origins and potential mechanistic contributions of mucinases in colorectal cancer, underscoring their relevance in mucus barrier breakdown and disease progression.},
}

Humans
*Gastrointestinal Microbiome
*Colorectal Neoplasms/microbiology
*Metagenome
*Bacteria/genetics/enzymology/classification/isolation & purification
*Bacterial Proteins/genetics/metabolism
Male
Female
Middle Aged
Aged
Phylogeny

@article {pmid41964077,
year = {2026},
author = {Hernandez, LK and DiDonato, N and Pasa-Tolic, L and Chuckran, PF and Firestone, MK and Sieradzki, ET and Yuan, MM and Estera-Molina, K and Kimbrel, J and Dijkstra, P and Banfield, JF and Pett-Ridge, J and Blazewicz, SJ},
title = {Reduced legacy precipitation decreases microbial community growth efficiency and alters soil organic carbon in a California grassland.},
journal = {Microbiome},
volume = {14},
number = {1},
pages = {},
pmid = {41964077},
issn = {2049-2618},
support = {DE-SC0020163//U.S. DOE Biological and Environmental Research Award/ ; SCW1589//U.S. DOE Biological and Environmental Research Award/ ; SCW1632//U.S. DOE Office of Biological and Environmental Research Genomic Science Program/ ; },
mesh = {*Grassland ; *Soil Microbiology ; California ; *Soil/chemistry ; *Carbon/analysis/metabolism ; *Rain ; *Microbiota ; *Bacteria/genetics/classification/growth & development/metabolism/isolation & purification ; RNA, Ribosomal, 16S/genetics ; Seasons ; Carbon Cycle ; },
abstract = {BACKGROUND: Changes in global patterns can leave a lasting legacy in semiarid grasslands by reshaping microbial growth dynamics and carbon cycling during the first wet-up in the autumn-a period known for intense microbial activity and significant carbon emissions. To study the lasting impacts of decreased winter rain, we implemented two precipitation regimes (100% vs. 50% mean annual precipitation) in California Mediterranean-climate grassland field plots. After the dry season, soils were rewetted in the laboratory with H2[18]O and sampled at 0 h, 3 h, 24 h, 48 h, 72 h, and 168 h post rewet. We quantified CO2 efflux, measured microbial growth and mortality via quantitative [18]O stable isotope probing and 16S rRNA gene amplicon sequencing, and characterized the soil organic carbon chemical composition, metagenomes, and metatranscriptomes.

RESULTS: We found that reduced winter precipitation imposed a strong legacy effect on microbial turnover; despite maintaining similar respiration rates, microbial growth declined by ~1 order of magnitude, yielding decreased community growth efficiency (CGE = new biomass growth/respiration), and microbial mortality declined by ~2 orders of magnitude. Soil organic carbon also shifted from lipid-like, amino-sugar-like, and protein-like compounds (indicative of microbial necromass) to more oxidized lignin-like and tannin-like compounds (indicative of decomposing plant-derived compounds). Meta-omics revealed distinct metabolic strategies linked to CGE. At high-CGE, microbes appeared to consume more energetically favorable N-rich necromass (released via high microbial turnover); this allowed for increased amino acids and peptidoglycan biosynthesis and greater aromatic compound degradation, fueling further energy production and growth efficiency. At low CGE, communities had elevated carbohydrate metabolism and lipid turnover, consistent with increased investment in plant detritus degradation and membrane repair and maintenance rather than growth.

CONCLUSIONS: Together, our findings demonstrate that reduced winter rainfall decreases microbial turnover following rewetting without a concurrent reduction in CO2 emissions. This shift results in persistently lower CGE, which has the potential to increase soil carbon loss as CO2. If such conditions are maintained over multiple years, these changes could reshape soil organic carbon stocks and alter the balance of grassland ecosystems under future climate scenarios. While our data suggest that sustained reductions in CGE may drive SOC decline, the magnitude and persistence of these effects depend on long-term environmental dynamics and warrant further investigation. Video Abstract.},
}

*Grassland
*Soil Microbiology
California
*Soil/chemistry
*Carbon/analysis/metabolism
*Rain
*Microbiota
*Bacteria/genetics/classification/growth & development/metabolism/isolation & purification
RNA, Ribosomal, 16S/genetics
Seasons
Carbon Cycle

@article {pmid41973542,
year = {2026},
author = {Muurmann, AT and Rasmussen, JA and Limborg, MT and Gilbert, MTP and Bahrndorff, S},
title = {Functional gut microbiomes enhance performance in house fly larvae.},
journal = {Applied and environmental microbiology},
volume = {92},
number = {5},
pages = {e0001126},
doi = {10.1128/aem.00011-26},
pmid = {41973542},
issn = {1098-5336},
support = {NNF21OC0070910//Novo Nordisk Fonden/ ; DNRF143//Danmarks Grundforskningsfond/ ; },
mesh = {Animals ; Larva/microbiology/growth & development ; *Houseflies/microbiology/growth & development ; *Gastrointestinal Microbiome ; *Bacteria/classification/genetics/metabolism/isolation & purification ; Animal Feed/analysis ; },
abstract = {UNLABELLED: In a world with an increase in human population, food consumption, and the generation of organic waste, insects are emerging as a promising tool to convert organic waste material into human food or animal feed. The insect microbiome is known to play a key role in the degradation of organic substrates, but little is known about the metabolic potential of the microbiome of industrially reared fly larvae. We investigated the microbial composition and metabolic potential of the house fly (Musca domestica) larva gut microbiome from larvae grown on three different waste and by-product-based substrates. We found that bacteria associated with the larval gut were enriched for functions related to microbial stress mechanisms, indicating strong selection of the gut microbiome by house fly larvae. In addition, the gut microbiome of larvae reared on sludge-based substrate had higher diversity when weighting for rare species and a higher coverage of "carbohydrate transport and metabolism" genes compared to brewery by-product-based substrate. A positive correlation between coverage of "pyridoxal-P synthesis" and larval survival and substrate conversion efficiency suggests that microbial synthesis of vitamin B6 could enhance larval performance. Additionally, a negative correlation between coverage of the "Entner-Doudoroff pathway" and "homoprotocatechuate degradation" and substrate conversion indicates microbial competition for sugars and aromatic amino acids. Together, these results reveal how the host selects on gut microbiomes with metabolic potential that is optimized toward the conversion of substrates that may be ultimately valuable for commercial insect production.

IMPORTANCE: Fly larvae are expected to play an important role in future food and feed production through the conversion of low-value biomass into high-quality protein. The gut microorganisms of fly larvae are expected to play an important role in bioconversion and could potentially be manipulated to improve biomass conversion. In this study, the importance of the gut bacteria of house fly larvae for bioconversion was investigated by metagenomic sequencing, which provided information on the bacterial abundance and potential functional roles in the larval gut. The results reveal that the functional potential of gut bacteria is affected by larval feed and correlates with larval performance, highlighting the importance of the gut microbiome for efficient biomass conversion.},
}

Animals
Larva/microbiology/growth & development
*Houseflies/microbiology/growth & development
*Gastrointestinal Microbiome
*Bacteria/classification/genetics/metabolism/isolation & purification
Animal Feed/analysis

@article {pmid42028995,
year = {2026},
author = {Liu, M and Du, M and Xi, Z and Tastambek, KT and Bao, Y and Song, X and Zhou, A and Wang, Y},
title = {Bacillus aerius synergizes with coal gangue to enhance Medicago sativa growth via soil microbiome and gene regulation.},
journal = {Applied and environmental microbiology},
volume = {92},
number = {5},
pages = {e0026826},
doi = {10.1128/aem.00268-26},
pmid = {42028995},
issn = {1098-5336},
mesh = {*Medicago sativa/growth & development/microbiology ; *Soil Microbiology ; *Bacillus/physiology ; *Microbiota ; *Coal ; Soil/chemistry ; },
abstract = {UNLABELLED: The extensive accumulation of coal gangue poses significant environmental threats through water contamination, soil degradation, and atmospheric pollution, necessitating the urgent development of ecological utilization strategies. This study elucidates the mechanistic basis by which the thermophilic bacterium Bacillus aerius (B. aerius) enhances plant growth in coal gangue-amended sandy soils. Through integrated analysis of nutrient dynamics, phytohormonal activities, soil enzymatic profiles, and metagenomic functional profiling, we demonstrate significant synergy between coal gangue and B. aerius. When applied together in sandy soils, the germination rate, plant height, root length, and fresh biomass of Medicago sativa (alfalfa) increased by 1.18-2.06 times. The levels of soil nitrogen, phosphorus, and potassium also significantly increased, resulting in notable improvements in soil fertility. The bacterial treatment enhanced the activities of indole-3-acetic acid, 1-aminocyclopropane-1-carboxylate (ACC) deaminase, and various soil enzyme activities while also optimizing the microbial community structure and increasing the abundance of beneficial bacteria, including Bacillus. Metagenomic analysis revealed the upregulation of growth-promoting genes such as acdS, nifK, and phnG, which collectively drive plant growth through multiple pathways, including enhanced soil nutrient availability, hormone regulation, soil enzyme activities, and nutrient cycling. Collectively, this work deciphers molecular-scale bacteria-gangue synergism, providing a theoretical foundation for sustainable coal gangue utilization and ecological restoration of degraded soils.

IMPORTANCE: The accumulation of coal gangue poses significant environmental challenges, necessitating the development of eco-friendly utilization strategies. This study demonstrates that the thermophilic bacterium Bacillus aerius acts synergistically with coal gangue to promote alfalfa growth in sandy soils while improving soil fertility. The combined treatment enhanced plant morphological traits, soil nutrient availability, beneficial microbial communities, and associated biological activities, with these effects supported by molecular evidence. As the first study to verify this growth-promoting mechanism, our findings address a critical knowledge gap and provide a theoretical foundation for the sustainable utilization of coal gangue in the ecological restoration of degraded soils.},
}

*Medicago sativa/growth & development/microbiology
*Soil Microbiology
*Bacillus/physiology
*Microbiota
*Coal
Soil/chemistry

@article {pmid42029028,
year = {2026},
author = {Valdez-Nuñez, LF and Chávez, IJ and Sekerci, F and Ayala-Muñoz, D and Straub, D and Kappler, A and Fischer, S and Mansor, M},
title = {Desulfosporosinus and Acididesulfobacillus dominate an acidophilic sulfate-reducing bacteria consortium during acid mine drainage bioremediation.},
journal = {Applied and environmental microbiology},
volume = {92},
number = {5},
pages = {e0030826},
doi = {10.1128/aem.00308-26},
pmid = {42029028},
issn = {1098-5336},
support = {37/1027-1//Deutsche Forschungsgemeinschaft/ ; 503493769//Deutsche Forschungsgemeinschaft/ ; PE501078509-2022-PROCIENCIA//Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica/ ; },
mesh = {Biodegradation, Environmental ; *Mining ; *Sulfates/metabolism ; Hydrogen-Ion Concentration ; *Microbial Consortia ; *Peptococcaceae/metabolism/genetics ; Peru ; },
abstract = {Acid mine drainage (AMD) is an environmental threat due to its low pH and high metal content. Biological treatment of AMD using acidophilic sulfate-reducing bacteria (aSRB) represents a potential solution for this problem, but their substrate specificity and low tolerance to extreme acidity (pH ≤3.0) and toxic metals limit their application. Here, we used an indigenous aSRB-containing consortium to remove metals and neutralize a synthetic AMD (sAMD) system starting at pH 2.9. The consortium was enriched from acidic sediments of an abandoned mine tunnel in Peru. A bioremediation experiment (pH 2.9) was set up with Fe[2+] (40.25 mM), Al[3+] (5.39 mM), and Zn[2+] (3.97 mM) as the main dissolved metals. Glycerol and yeast extract were used as carbon sources. Physicochemical parameters, mineral formation, microbial communities, and dissolved metals were monitored for 160-200 days. At the end of the incubation, the final pH reached 6.1 and 100% of Zn[2+], >99% of Fe[2+], and >94% of Al[3+] were removed by the aSRB consortium as X-ray diffraction-amorphous minerals. The aSRB Desulfosporosinus and Acididesulfobacillus dominated the bioremediation experiment. Two high-quality metagenome-assembled genomes taxonomically affiliated to the aforementioned aSRB showed metabolic potential related to sulfur compounds reduction as well as to organic carbon degradation (e.g., glycerol and acetate). Differences related to carbon degradation during AMD bioremediation suggest a synergy between Acididesulfobacillus and Desulfosporosinus, thus avoiding toxic waste product accumulation. Overall, we obtained a novel aSRB-containing microbial consortium that can be used for acidity neutralization and metal removal, suitable for more robust AMD treatment technologies.IMPORTANCEAcid mine drainage (AMD) remains one of the biggest environmental challenges of the mining industry. Treatment technologies based on the application of microbial consortia are gaining popularity, taking advantage of synergistic interactions between different species to widen substrate specificity and to limit toxicity. Our research work here shows two acidophilic sulfate-reducing bacteria, Desulfosporosinus and Acididesulfobacillus, working together in AMD bioremediation. Desulfosporosinus initiated sulfate reduction at pH ~3.0 with glycerol as the carbon source and acetate as the waste product. Once pH rose to ~4.0, Acididesulfobacillus continued with sulfate reduction with acetate as a carbon source, thus avoiding acetate accumulation and cell toxicity. In the end, this synergistic interaction neutralized acidic pH and removed metals to a great extent, making it suitable for biological treatment of AMD.},
}

Biodegradation, Environmental
*Mining
*Sulfates/metabolism
Hydrogen-Ion Concentration
*Microbial Consortia
*Peptococcaceae/metabolism/genetics
Peru

@article {pmid42037401,
year = {2026},
author = {Wu, Q and Wu, D and Wang, J and Wang, H and Peng, J and Zhao, Y and Chen, J and Yuan, Q},
title = {Lytic viruses drive the decrease in polyphosphate-accumulating and phosphate-solubilizing potential of microbial communities with increasing reservoir age.},
journal = {Applied and environmental microbiology},
volume = {92},
number = {5},
pages = {e0248125},
doi = {10.1128/aem.02481-25},
pmid = {42037401},
issn = {1098-5336},
mesh = {*Polyphosphates/metabolism ; *Phosphates/metabolism ; China ; *Microbiota ; *Bacteria/metabolism/genetics/virology ; Geologic Sediments/microbiology/virology ; Phosphorus/metabolism ; *Bacteriophages/physiology/genetics ; Fresh Water/microbiology/virology ; Eutrophication ; },
abstract = {River damming often leads to significant phosphorus enrichment in reservoir sediments and increases the risk of eutrophication with reservoir age. Microorganisms mediate critical steps of phosphorus cycling in ecosystems, and viruses are recognized as key regulators of microbial community structure and function. However, their influence on phosphorus-cycling microorganisms (PCMs) in freshwater environments remains poorly understood. In this study, surface sediment samples were collected from nine reservoirs (12-59 years old) of southwest China and analyzed using metagenomic and metatranscriptomic approaches to profile both PCMs and viral communities. The results demonstrated that the diversity of lytic viruses was the primary factor governing both shifts in the community stability of PCMs and the restructuring of P-cycling gene patterns with increasing reservoir age. Specifically, viral lysis reduced the relative abundance of dominant PCMs, thereby enhancing community diversity and stability. Concurrently, viral activity diminished PCMs' functional potential for phosphate solubilization and polyphosphate accumulation, while stimulating high-affinity inorganic phosphate (Pi) transport. Furthermore, viruses encoded auxiliary metabolic genes (AMGs) related to phosphate solubilization, mineralization, accumulation, and transport, underscoring the viral role in regulating phosphorus retention and release. Compared to polyphosphate-accumulating microorganisms, phosphate-solubilizing microorganisms may be more susceptible to viral infection. Additionally, viral activity was associated with an increase in the relative abundance of Cyanobacteria. Taken together, our results suggest viruses are key regulators of PCMs, highlighting that they should be incorporated into future strategies for assessing and mitigating reservoir eutrophication.IMPORTANCESediment microorganisms are regarded as the engine for endogenous phosphorus release in reservoirs. Therefore, understanding their dynamics and key driving factors is essential for effective eutrophication mitigation. Viral lysis and virus-encoded auxiliary metabolic genes (AMGs) may constitute a critical yet understudied mechanism influencing microbial phosphorus cycling. Our study provides unique, time-series-based mechanistic insights into how viral activity, in the context of large-scale artificial projects (river damming), restructures microbial phosphorus cycling and its potential ecological effects over decades.},
}

*Polyphosphates/metabolism
*Phosphates/metabolism
China
*Microbiota
*Bacteria/metabolism/genetics/virology
Geologic Sediments/microbiology/virology
Phosphorus/metabolism
*Bacteriophages/physiology/genetics
Fresh Water/microbiology/virology
Eutrophication

@article {pmid42082533,
year = {2026},
author = {Tamang, S and Sherpa, MT and Najar, IN and Kumar, S and Das, S and Sharma, P and Das, N and Chowdhury, R and Thaosen, R and Ranjan, RK and Pandey, P and Thakur, N},
title = {Metagenomic analysis of bacterial diversity, antibiotic resistance, and functional profiles in the ice core samples from two glaciers of Sikkim Himalaya.},
journal = {Scientific reports},
volume = {16},
number = {1},
pages = {},
pmid = {42082533},
issn = {2045-2322},
support = {BT/PR41644/NER/95/1718/2021//Department of Biotechnology, Ministry of Science and Technology, India/ ; },
mesh = {*Ice Cover/microbiology ; *Bacteria/genetics/classification/drug effects/isolation & purification ; *Metagenomics/methods ; Sikkim ; Biodiversity ; *Drug Resistance, Microbial/genetics ; *Metagenome ; Microbiota ; },
abstract = {Glaciers cover a substantial portion of the world and are home to various biological populations. The Himalayas constitute the largest glaciated region outside the poles; hence, they are regarded as "The Third Pole" of the World. There are around 84 glaciers in the Teesta basin (Sikkim Himalaya). There is substantially less data available on the microbial diversity embedded in the glacial ice core samples of the Sikkim Himalaya, as well as their physico-chemistry and potential geomorphological hazards related to their retreat or decrease in snow-line cover. The present study aims to evaluate the microbial diversity in the glacier ice core region and the study area; therefore, two glaciers in the Sikkim Himalaya were chosen: Frey-Peak and Rathong Glacier. The bacterial diversity analysis reveals the prevalence of various phyla, including Pseudomonadota, Actinomycetota, Bacillota, and Bacteroidota. The random forest model reveals the significant contributions of various elements, including Na, Mg, K, Ca, and Zn, to the alpha diversity of the studied glaciers. Among physicochemical parameters, pH was found to contribute the most in shaping bacterial diversity. Cluster of Orthologous Groups (COG) analysis underscored a predominance of genes associated with amino acids (23.5%), carbohydrates (18.93%), lipids (10.88%), energy (17.26%), coenzymes (9.38%), and ion transport/metabolism (14.71%). KEGG (Kyoto Encyclopedia of Genes and Genomes) Orthology (KO) analysis revealed the presence of 4,915 to 96,954 genes. Interestingly, the metagenomic analysis revealed the presence of specific species of Bradyrhizobium, Beijerinckia, Burkholderia, and Corynebacterium, which are associated with nitrogen metabolism, suggesting their potential involvement in biogeochemical processes. Additionally, a total of 59 to 419 bacterial genes related to sulphur metabolism were deduced through the KEGG functional analysis. The study detected the presence of various antibiotic resistance genes corresponding to different classes of antibiotics, including aminoglycoside, tetracycline, fluoroquinolone, macrolide, and erythromycin. Network analysis reveals that antibiotic resistance genes primarily interact with the phyla Pseudomonadota, Bacillota, and Actinomycetota. The melting of glaciers, a significant effect of climate change, may release contaminants, antibiotic resistance genes, and pathogenic bacteria into free-flowing rivers, potentially impacting human health.},
}

*Ice Cover/microbiology
*Bacteria/genetics/classification/drug effects/isolation & purification
*Metagenomics/methods
Sikkim
Biodiversity
*Drug Resistance, Microbial/genetics
*Metagenome
Microbiota

@article {pmid42150526,
year = {2026},
author = {Thompson, LR},
title = {Microbial ecology: Rise of the planet of the microbes.},
journal = {Current biology : CB},
volume = {36},
number = {10},
pages = {R432-R434},
doi = {10.1016/j.cub.2026.03.072},
pmid = {42150526},
issn = {1879-0445},
mesh = {*Microbiota/genetics ; Metagenomics ; Ecosystem ; *Bacteria/genetics ; *Metagenome ; },
abstract = {A long-standing tenet of microbiology is that Earth's microbiomes are structured by environment, not geography. In a new study, Kim et al. report the largest metagenomic analysis yet performed, revealing that microbial generalists transcend these boundaries, ferrying genes - including antibiotic resistance determinants - across ecologically distant habitats.},
}

*Microbiota/genetics
Metagenomics
Ecosystem
*Bacteria/genetics
*Metagenome

@article {pmid42151303,
year = {2026},
author = {de Tacca, LMA and Lima, RN and de Oliveira, MA and Pascoal, PV and Bambil, D and Rosinha, GMS and Signor, D and Freire, M and Rech, E},
title = {The soil microbiome of the Caatinga drylands in Brazil.},
journal = {Scientific reports},
volume = {},
number = {},
pages = {},
doi = {10.1038/s41598-026-50433-1},
pmid = {42151303},
issn = {2045-2322},
support = {20-122//Conrad Prebys Foundation/ ; },
abstract = {Drylands cover a significant portion of the Earth's surface and play a key role in maintaining global ecological balance. The Caatinga, with its unique biodiversity adapted to the extreme conditions of this semi-arid region, offers a valuable opportunity to expand our knowledge about these ecosystems. Here, this work reveals the high microbial diversity in the soil and rhizosphere of the Caatinga, with the roots presenting more specialized communities. Bacteria such as Bacilli, Alphaproteobacteria and Firmicutes excelled in critical functions such as nutrient cycling. The Interplant differences suggested the influence of root exudates. Altogether, the metagenomic study of interactions between microorganisms in the rhizosphere of selected plants revealed microbial biodiversity and contributed to our understanding of nutrient cycling, plant growth and resistance to water stress. In addition, they demonstrate biotechnological potential to address global challenges such as desertification and food security.},
}

@article {pmid42151682,
year = {2026},
author = {Blackburn, D and Rahman, B and Saroyia, AP and Parish, AJ and Driscoll, M and Szewczyk, NJ and Vanapalli, SA and Samuel, BS},
title = {Defining Microbiome Impact on Host Physiology During Spaceflight Using Caenorhabditis elegans.},
journal = {Methods in molecular biology (Clifton, N.J.)},
volume = {3000},
number = {},
pages = {251-275},
pmid = {42151682},
issn = {1940-6029},
mesh = {Animals ; *Caenorhabditis elegans/microbiology/physiology ; *Space Flight ; *Microbiota ; Weightlessness ; *Host Microbial Interactions ; },
abstract = {Microbiome-integrated Caenorhabditis elegans cultivation methods enable investigation of host-microbiome interactions in the context of space-relevant stresses using three key innovations: introduction of live bacterial communities replacing chemically defined media, implementation of auxin-inducible degradation systems to prevent progeny production, and development of complementary hardware platforms. Polyethylene bags provide gas-permeable cultivation environments for large populations with complex microbiomes supporting downstream molecular analyses, while NemaCapsules with micropillar arrays and passive culturing chambers allow real-time phenotypic assessment through on-orbit imaging, transforming our ability to correlate molecular signatures with physiological outcomes in microgravity.},
}

Animals
*Caenorhabditis elegans/microbiology/physiology
*Space Flight
*Microbiota
Weightlessness
*Host Microbial Interactions

@article {pmid42154337,
year = {2026},
author = {Sain, M and Rani, S and Singh, SP and Pothal, P and Yadav, S and Suttee, A and Kumar, A and Kumar, S and Ranawat, P and Singh, G and Barnwal, RP},
title = {The Influence of Gut Microbiome on Alpha-Synuclein Aggregation: Implications for Parkinson's Disease Pathogenesis.},
journal = {Molecular neurobiology},
volume = {63},
number = {1},
pages = {},
pmid = {42154337},
issn = {1559-1182},
mesh = {Humans ; *Gastrointestinal Microbiome/physiology ; *Parkinson Disease/metabolism/pathology/microbiology ; *alpha-Synuclein/metabolism ; Animals ; Dysbiosis ; *Protein Aggregates ; },
abstract = {Parkinson's disease (PD) is a progressive neurodegenerative disorder traditionally characterized by dopaminergic neuronal loss in the substantia nigra and the accumulation of misfolded α-synuclein (α-syn) aggregates. While genetic susceptibility and environmental exposures are well-recognized contributors to PD, growing evidence indicates that disease initiation and progression may also involve peripheral mechanisms originating in the gastrointestinal (GI) tract. Early non-motor symptoms such as constipation, along with the presence of α-syn pathology in the enteric nervous system, have led to increasing interest in the gut-brain axis as a critical modulator of PD pathogenesis. Recent literatures reveal that gut microbiota dysbiosis can influence neurodegeneration through immune activation, intestinal barrier dysfunction, and altered production of microbial metabolites, including short-chain fatty acids, bile acids, lipopolysaccharides, and tryptophan-derived compounds. However, the precise molecular mechanisms by which these microbial factors modulate α-syn aggregation, propagation, and clearance remain incompletely understood. In this article, we review current clinical and experimental literature linking gut microbiota alterations to α-syn pathology, with particular emphasis on inflammatory signaling, microbial metabolites, and impaired proteostatic pathways that promote α-syn misfolding. We further integrate emerging concepts of "body-first" and "brain-first" PD subtypes and discuss proposed routes of α-syn transmission from the enteric to the central nervous system, including vagal, hematogenous, and immune-mediated pathways. By highlighting underexplored mechanistic connections between gut dysbiosis and α-syn biology, this review underscores the potential of microbiome-targeted strategies for early diagnosis and disease modification. A deeper understanding of gut-brain communication may ultimately enable personalized therapeutic approaches and reshape current paradigms of PD pathogenesis.},
}

Humans
*Gastrointestinal Microbiome/physiology
*Parkinson Disease/metabolism/pathology/microbiology
*alpha-Synuclein/metabolism
Animals
Dysbiosis
*Protein Aggregates

@article {pmid42156647,
year = {2026},
author = {Ravikrishnan, A},
title = {Unlocking the Metagenome: Pipeline for Microbiome Data Analysis.},
journal = {Methods in molecular biology (Clifton, N.J.)},
volume = {3006},
number = {},
pages = {1-23},
pmid = {42156647},
issn = {1940-6029},
mesh = {*Metagenomics/methods ; *Metagenome ; *Microbiota/genetics ; *Computational Biology/methods ; High-Throughput Nucleotide Sequencing/methods ; Software ; Workflow ; Sequence Analysis, DNA/methods ; Humans ; Data Analysis ; },
abstract = {Metagenomic technologies have revolutionized our understanding of microbes in different spheres of life, revealing the massive diversity and complex functionalities of microbial communities across various environments. Shotgun metagenomics, which involves sequencing the DNA of all the organisms in a sample, is emerging as a powerful tool in assessing the microbial content. Unlike the traditional culturing approach, the shotgun metagenomic technology provides a comprehensive view of the entire microbial community, including potential functions that the organisms could be performing. In this chapter, we describe a typical bioinformatics workflow to generate the taxonomic profiles from metagenomic sequencing data and demonstrate a few basic statistical analyses that can be performed from this data to generate insights. In addition, we discuss the experimental and analytical considerations that must be taken into account while generating and making inferences from metagenomic data. Lastly, we provide insights on automating the workflow for consistent and reproducible large-scale analyses.},
}

*Metagenomics/methods
*Metagenome
*Microbiota/genetics
*Computational Biology/methods
High-Throughput Nucleotide Sequencing/methods
Software
Workflow
Sequence Analysis, DNA/methods
Humans
Data Analysis

@article {pmid42156648,
year = {2026},
author = {Yugandhar Reddy, BS and Sripradha, S and Kumar, A},
title = {Targeted Metagenomics Using Next-Generation Sequencing Methods.},
journal = {Methods in molecular biology (Clifton, N.J.)},
volume = {3006},
number = {},
pages = {25-32},
pmid = {42156648},
issn = {1940-6029},
mesh = {*Metagenomics/methods ; *High-Throughput Nucleotide Sequencing/methods ; Microbiota/genetics ; Metagenome ; Humans ; Sequence Analysis, DNA/methods ; },
abstract = {Metagenomics allows the discovery of the full diversity of all microbes present in a given niche. The technique is very powerful and has allowed very significant advances delineating the role of the microbiome in several disciplines including health, agriculture, ecology, industry, etc. Here, we describe the method required for processing of samples for metagenomic analysis using Next-Gen sequencing.},
}

*Metagenomics/methods
*High-Throughput Nucleotide Sequencing/methods
Microbiota/genetics
Metagenome
Humans
Sequence Analysis, DNA/methods

@article {pmid42156649,
year = {2026},
author = {Rangamaran, VR and Sushmitha, TJ and Tamilmani, KK and Murugesan, H and Gopal, D},
title = {Exploring the Ocean's Microbial World: Techniques and Protocols for Microbiome Research.},
journal = {Methods in molecular biology (Clifton, N.J.)},
volume = {3006},
number = {},
pages = {33-46},
pmid = {42156649},
issn = {1940-6029},
mesh = {*Microbiota/genetics ; *Metagenomics/methods ; High-Throughput Nucleotide Sequencing/methods ; RNA, Ribosomal, 16S/genetics ; Oceans and Seas ; *Seawater/microbiology ; Computational Biology/methods ; },
abstract = {Marine microbiomes play a crucial role in oceanic ecosystems, influencing biogeochemical cycles, climate regulation, and marine biodiversity. Accurate characterization of these microbial communities requires standardized protocols for sample collection, processing, sequencing and data analysis. This chapter provides a comprehensive guide to essential methodologies for marine microbiome research including field sampling strategies, DNA and RNA extraction techniques, high-throughput sequencing approaches (such as 16S rRNA amplicon sequencing and metagenomics) and bioinformatics pipelines for data interpretation. Additionally, we discuss quality control measures, best practices for reproducibility, and challenges associated with marine microbiome profiling. By adopting standardized methodologies, researchers can generate reliable, comparable datasets that enhance our understanding of marine microbial ecology and its broader environmental implications.},
}

*Microbiota/genetics
*Metagenomics/methods
High-Throughput Nucleotide Sequencing/methods
RNA, Ribosomal, 16S/genetics
Oceans and Seas
*Seawater/microbiology
Computational Biology/methods

@article {pmid42156650,
year = {2026},
author = {Miliotis, G and Tumeo, A},
title = {Shotgun Metagenomic Analysis of Microbial Community Dynamics in Wastewater Treatment Through Constructed Wetlands.},
journal = {Methods in molecular biology (Clifton, N.J.)},
volume = {3006},
number = {},
pages = {47-73},
pmid = {42156650},
issn = {1940-6029},
mesh = {*Wetlands ; *Metagenomics/methods ; *Wastewater/microbiology ; *Water Purification/methods ; *Microbiota/genetics ; Metagenome ; Computational Biology/methods ; Water Microbiology ; },
abstract = {Constructed wetlands (CWs) offer a sustainable, nature-based solution to wastewater treatment, supporting diverse and dynamic microbial communities that drive nutrient cycling, pollutant degradation, and pathogen removal. This chapter presents an end-to-end methodology for performing shotgun metagenomic analyses on microbial populations from CW influent and effluent. We detail approaches for site selection, sample collection, filtration, DNA extraction, and the incorporation of positive and negative controls to ensure reproducibility and data quality. Two modular bioinformatic workflows encompassing quality control, assembly, taxonomic/functional annotation, and metagenome-assembled genome recovery are described alongside options for detecting antimicrobial resistance genes, pathogens, toxins, and plasmids. In addition, an example workflow for the calculation of alpha and beta diversity is provided. Guidelines for data standardization, replication, and compliance with community-driven reporting standards (MIMS, MIMAG) are also included. Incorporating this protocol will facilitate standardized, reproducible insights into CW microbial dynamics, thereby informing ecological understanding and guiding practical interventions that enhance wastewater treatment efficacy and improve public health outcomes.},
}

*Wetlands
*Metagenomics/methods
*Wastewater/microbiology
*Water Purification/methods
*Microbiota/genetics
Metagenome
Computational Biology/methods
Water Microbiology

@article {pmid42156652,
year = {2026},
author = {Kosmopoulos, JC and Anantharaman, K},
title = {Computational Microbial and Viral Ecology Analysis.},
journal = {Methods in molecular biology (Clifton, N.J.)},
volume = {3006},
number = {},
pages = {83-141},
pmid = {42156652},
issn = {1940-6029},
mesh = {*Metagenomics/methods ; *Computational Biology/methods ; Metagenome ; *Microbiota/genetics ; *Viruses/genetics/classification ; Virome ; Bacteriophages/genetics ; Bacteria/genetics ; Archaea/genetics ; },
abstract = {The explosion in known microbial diversity in the last two decades has made it abundantly clear that microbes in the environment do not exist in isolation; they are members of communities. Accordingly, omics approaches such as metagenomics have revealed that interactions between diverse groups of community members such as archaea, bacteria, and viruses (bacteriophages) are common and have significant impacts on entire microbiomes. Thus, to have a well-developed understanding of microbes as they naturally exist in the environment, biological entities of all kinds must be studied together. While numerous protocols for metagenome analysis exist, comprehensive published protocols for the simultaneous analysis of viruses and prokaryotes together are scarce. Further, as bioinformatic methods for microbiology rapidly advance, existing metagenomic tools and pipelines require frequent re-evaluation. This ensures the adherence to best practices for microbiome and metagenomic data analysis. Here, we offer an expansive approach for the joint analysis of bulk sequence data from a mixed microbial community (metagenomes) and viral-sized fraction communities (viromes). This chapter serves as a beginner's-level guide for researchers with limited bioinformatics expertise who wish to engage in multiscale metagenome and virome analyses. We cover steps from initial study design to sequence read processing, metagenome assembly, quality control, virus identification, microbial and viral genome binning, taxonomic characterization, species-level clustering, and host-virus predictions. We also provide the bioinformatic scripts used in our workflow for reuse in one's own computational methods. Lastly, we discuss additional approaches a researcher can take after processing data with this workflow.},
}

*Metagenomics/methods
*Computational Biology/methods
Metagenome
*Microbiota/genetics
*Viruses/genetics/classification
Virome
Bacteriophages/genetics
Bacteria/genetics
Archaea/genetics

@article {pmid42156658,
year = {2026},
author = {Roma Pi, J and Heinken, A},
title = {Personalized Constraint-Based Modeling of Microbial Communities from Metagenomic Data.},
journal = {Methods in molecular biology (Clifton, N.J.)},
volume = {3006},
number = {},
pages = {233-260},
pmid = {42156658},
issn = {1940-6029},
mesh = {*Metagenomics/methods ; Humans ; *Gastrointestinal Microbiome/genetics ; Precision Medicine/methods ; Software ; *Microbiota/genetics ; *Metagenome ; High-Throughput Nucleotide Sequencing/methods ; Computational Biology/methods ; RNA, Ribosomal, 16S/genetics ; Systems Biology/methods ; },
abstract = {High-throughput metagenomic sequencing techniques such as 16S rRNA and shotgun sequencing have enabled an unprecedented understanding of the structure and function of microbiome communities such as the human gut microbiome. Tailored dietary or therapeutic interventions targeting the microbiome could advance personalized medicine; however, predicting such interventions requires predictive systems biology methods. Constraint-Based Reconstruction and Analysis (COBRA) is a mechanistic systems biology approach that relies on detailed genome-scale reconstructions of a target organism's metabolism. A resource of genome-scale reconstructions of human microbes, AGORA, and its expansion in size and scope, AGORA2, have been developed through a semi-automated refinement pipeline, DEMETER. A user-friendly analysis pipeline, mgPipe, allows building and interrogating personalized models of microbiome communities from AGORA and AGORA2. Through sample-specific simulations, mgPipe can stratify patients and controls by the distinct metabolic capabilities of their microbiomes, starting from the processed metagenomic sequencing data. Building on this functionality, the protocol provides a comprehensive workflow for the contextualization of metagenomics data through personalized, mechanistic modeling. Comprehensive tutorials for the DEMETER and mgPipe workflows are presented, which will enable both systems biologists and microbiome scientists to contextualize metagenomic data and perform mechanistic simulations of diet-microbiome-host interactions.},
}

*Metagenomics/methods
Humans
*Gastrointestinal Microbiome/genetics
Precision Medicine/methods
Software
*Microbiota/genetics
*Metagenome
High-Throughput Nucleotide Sequencing/methods
Computational Biology/methods
RNA, Ribosomal, 16S/genetics
Systems Biology/methods

@article {pmid42156769,
year = {2026},
author = {Chen, R and Luo, S and Feng, Y and Maestre, FT and Sáez-Sandino, T and Gross, N and Le Bagousse-Pinguet, Y and Ochoa, V and Gozalo, B and Guirado, E and García-Gómez, M and Valencia, E and Asensio, S and Martínez-Valderrama, J and Mendoza, BJ and Abades, S and Alfaro, F and Barrett, M and Berdugo, M and Pastor, JLB and Blaum, N and Boldgiv, B and Bowker, M and Castro, H and Chu, H and Cutler, NA and Dai, Z and Deák, B and Durán, J and Espinosa, CI and Fajardo, A and Fan, K and Foronda, A and Fraser, LH and Geissler, K and Grebenc, T and Moltanvan, EG and Hart, SC and Kindermann, L and Köbel, M and Laanisto, L and le Roux, PC and Liancourt, P and Linstädter, A and Louw, MA and Macek, P and Maggs-Kölling, G and Makhalanyane, TP and Manzaneda, AJ and Marais, E and Montesinos, D and Mora, JP and Moreno, G and Munson, SM and Muñoz-Rojas, M and Nair, GR and Neuhauser, S and Nunes, A and Plaza, C and Pueyo, Y and Rey, PJ and Rey, A and Ríos, AL and Rodríguez, A and Lozano, BR and Roman, R and Ruppert, JC and Salah, A and Singh, J and Throop, HL and Travers, S and Nahberger, TU and Uuganbayar, M and Valkó, O and Wang, L and Williams, MA and Xiong, C and Xu, J and Zaady, E and Ma, B and Singh, BK and Delgado-Baquerizo, M},
title = {Functional restructuring of the global soil microbiome under multiple stressors.},
journal = {Nature communications},
volume = {},
number = {},
pages = {},
doi = {10.1038/s41467-026-73231-9},
pmid = {42156769},
issn = {2041-1723},
support = {42577352//National Natural Science Foundation of China (National Science Foundation of China)/ ; },
abstract = {Microbes, as the planet's most abundant and diverse organisms, drive soil functions globally and are vulnerable to environmental stressors triggered by global change. Yet, knowledge regarding the impacts of multiple environmental stressors on their functional profiles as well as the consequences for soil functionality largely remains unknown. Here, we analyze two global-scale datasets including information on soil metagenomics and multiple environmental stressors. We find that across terrestrial ecosystems worldwide, up to 60% of all functional genes significantly shift when soil microbes experience the high-level of concurrent stressors. In this regard, the relative abundances of genes involved in microbial growth are negatively linked to the increasing number of stressors. Conversely, those genes linked to stress resistance and energy production exhibit positive responses. Taken together, our findings highlight a significant restructuring of global soil functional microbiomes in response to multiple environmental stressors. Consequently, such restructuring drives community-level shifts in matter and energy reallocations, thereby impacting the maintenance of soil functionality under the projected global change.},
}

@article {pmid41888125,
year = {2026},
author = {Fu, J and Zhang, J and He, R and Dong, Q and Mao, H and Shen, W and Wu, W and Chen, X and Ma, W and Zhai, Q and Chen, L and Zhou, H and Hu, S and He, Y and Qi, C},
title = {A global metagenomic atlas of aging identifies a microbiota phase transition associated with disease risk.},
journal = {NPJ biofilms and microbiomes},
volume = {12},
number = {1},
pages = {},
pmid = {41888125},
issn = {2055-5008},
support = {2023A1515012538//Basic and Applied Basic Research Foundation of Guangdong Province/ ; NSFC82300623//National Natural Science Foundation of China/ ; NSFC82272391//National Natural Science Foundation of China/ ; NSFC82302610//National Natural Science Foundation of China/ ; 2019YFA0802300//National Key Research and Development Program of China/ ; },
mesh = {Humans ; *Aging ; *Gastrointestinal Microbiome/genetics ; Middle Aged ; *Metagenomics ; Feces/microbiology ; *Metagenome ; *Bacteria/classification/genetics/isolation & purification ; Phylogeny ; Female ; Male ; Aged ; },
abstract = {Biological aging has been associated with altered risk of aging-related diseases, but the contribution of the gut microbiota to this process remains poorly understood. Here, we constructed an interpretable gut microbiota age clock using metagenomic data from 8115 fecal samples across five continents. We discovered a key microbial perturbation occurring at 56-60 years of chronological age, which was validated in an independent cohort of 2263 metagenomes. This perturbation was associated with a decline in ecological stability and substantial changes in the abundance of core species. Notably, the association between gut microbiota age and diseases was identified to be significantly altered before and after this inflection time. Moreover, within-species analyses uncovered phylogenetic divergence for seven age-related species, such as Escherichia coli, alongside functional alterations in older individuals, including enhanced cell motility, carbohydrate metabolism and horizontal gene transfer. Overall, our global gut microbiome atlas uncovers a critical age transition phase, highlighting opportunities for microbiota-based therapies and offering novel insights into evolutionary dynamics during aging.},
}

Humans
*Aging
*Gastrointestinal Microbiome/genetics
Middle Aged
*Metagenomics
Feces/microbiology
*Metagenome
*Bacteria/classification/genetics/isolation & purification
Phylogeny
Female
Male
Aged

@article {pmid41937718,
year = {2026},
author = {Chen, X and Xie, M and Feng, J and Zou, J and Shi, J and Xie, X},
title = {From Diet to Resistome: Habitat Fragmentation Rewires Gut Microbiomes To Elevate Antibiotic Resistance Gene Enrichment in a Horseshoe Crab Sentinel.},
journal = {Environmental science & technology},
volume = {60},
number = {19},
pages = {14120-14136},
doi = {10.1021/acs.est.5c17817},
pmid = {41937718},
issn = {1520-5851},
mesh = {Animals ; *Gastrointestinal Microbiome ; *Drug Resistance, Microbial/genetics ; *Horseshoe Crabs/microbiology ; Diet ; Ecosystem ; },
abstract = {Habitat fragmentation may amplify antibiotic resistance genes (ARGs), yet the ecological pathways linking landscape patterns to host resistomes in intertidal systems remain unclear. Macrobenthic organisms as potential reservoirs and dispersal nodes are ideal models. Focusing on the horseshoe crab (Tachypleus tridentatus), a food web hub and habitat indicator, we integrated landscape metrics, metagenomics, and path modeling (PLS-PM) to examine, across fragmented habitats, links among sediment physicochemistry, larval diet, gut microbiota, mobile genetic elements (MGEs), and ARGs. Results revealed that more fragmented habitats promoted individuals with higher ARG abundance and diversity, alongside stronger MGE enrichment and increased ARG-MGE co-occurrence, indicating enhanced mobility potential. Fragmentation also coincided with greater dietary diversity but higher among-individual convergence, selective assembly of gut microbiota with higher diversity, and tight ARG-MGE association. PLS-PM supported a diet-gut microbiota-MGE-ARG cascade, while the direct effects of sediment chemistry were not significant. Attributing ARG hosts at the MAG level, Enterobacteriaceae and Vibrionaceae dominated ARG abundance and enrichment, indicating lineage selectivity. Multidrug and polymyxin resistance was most prominent. These findings identify key AMR risk pathways and inform priority interventions for T. tridentatus and habitat conservation. The developed assessment framework is scalable and offers a paradigm for One Health management in mudflat systems.},
}

Animals
*Gastrointestinal Microbiome
*Drug Resistance, Microbial/genetics
*Horseshoe Crabs/microbiology
Diet
Ecosystem

@article {pmid42012165,
year = {2026},
author = {Werner, A and Chibani, CM and Schmitz, RA},
title = {Navigating prokaryotic viral genome analysis from metagenomic data.},
journal = {mSystems},
volume = {11},
number = {5},
pages = {e0124925},
doi = {10.1128/msystems.01249-25},
pmid = {42012165},
issn = {2379-5077},
support = {031B0851B//Bundesministerium für Bildung und Forschung/ ; SCHM1052/26-1, SCHM1052/26-2//Deutsche Forschungsgemeinschaft/ ; },
mesh = {*Metagenomics/methods ; *Genome, Viral ; Virome/genetics ; Bacteria/virology ; *Archaeal Viruses/genetics ; *DNA Viruses/genetics ; Archaea/virology ; },
abstract = {Viruses play crucial roles in microbial ecosystems, yet viromic analysis remains challenging due to the field's complexity and rapid evolution. This minireview supports non-specialists through the evolving landscape of viromics, focusing on the analysis of bacterial and archaeal DNA viruses from metagenomic data. We address major challenges, including viral diversity, methodological biases, and the overwhelming array of available tools and pipelines. While describing a typical viromic workflow, we provide users with background information for each of the steps from data acquisition, preprocessing, and quality control to viral characterization and common downstream analyses. The included references and resources will provide users with the information needed to confidently start their own virome analysis.},
}

*Metagenomics/methods
*Genome, Viral
Virome/genetics
Bacteria/virology
*Archaeal Viruses/genetics
*DNA Viruses/genetics
Archaea/virology

@article {pmid42013844,
year = {2026},
author = {Bargheet, A and Bø, GH and Hetland, MAK and Justine, M and Moyo, SJ and Löhr, IH and Blomberg, B and Langeland, N and Klingenberg, C and Pettersen, VK},
title = {Metabolic reprogramming of the infant gut by bifidobacteria-based probiotics drives exclusion of antibiotic-resistant pathobionts.},
journal = {Cell reports. Medicine},
volume = {7},
number = {5},
pages = {102752},
doi = {10.1016/j.xcrm.2026.102752},
pmid = {42013844},
issn = {2666-3791},
mesh = {Humans ; *Probiotics/pharmacology/administration & dosage ; *Bifidobacterium/physiology ; *Gastrointestinal Microbiome/drug effects ; Infant ; Feces/microbiology ; Infant, Newborn ; Female ; Male ; Anti-Bacterial Agents/pharmacology ; Metabolome ; *Drug Resistance, Bacterial ; Metabolic Reprogramming ; },
abstract = {Early-life probiotics that strengthen gut resilience in infants are a promising strategy to combat the global emergency of antibiotic resistance. Still, their effects on antibiotic-resistant opportunistic pathogens, i.e., pathobionts, remain unclear. We evaluate the effects of probiotic supplementation in 152 full-term Tanzanian infants enrolled in the ProRIDE trial. Oral probiotics during the first 4 weeks of life increase gut colonization by Bifidobacterium species, while suppressing pathobionts, including extended-spectrum β-lactamase-producing Enterobacterales (ESBL-E). Integrated metagenomics and metabolomics show that probiotics reduce resistome load and mobilome richness at 6 weeks, accompanied by concurrent shifts in the fecal metabolome. Specifically, the intervention increases lactate and pyruvate and reduces cross-feeding pathways that lead to propionate and butyrate, which partly explains the reduction in ESBL-E carriage. Our study documents putative pathways by which probiotic-driven Bifidobacterium colonization modulates the infant gut toward a lower level of antibiotic resistance.},
}

Humans
*Probiotics/pharmacology/administration & dosage
*Bifidobacterium/physiology
*Gastrointestinal Microbiome/drug effects
Infant
Feces/microbiology
Infant, Newborn
Female
Male
Anti-Bacterial Agents/pharmacology
Metabolome
*Drug Resistance, Bacterial
Metabolic Reprogramming

@article {pmid42013850,
year = {2026},
author = {Qin, Y and Zhang, YX and Liu, LP and Xie, YH and Ma, XY and Hao, Y and Zhao, LC and Dong, JJ and He, Y and Sun, K and Zhong, H and Zhu, S and Liu, M and Fang, JY and Zhou, CB},
title = {Distinct signatures in the human gut and oral microbiomes of gastric cancer.},
journal = {Cell reports. Medicine},
volume = {7},
number = {5},
pages = {102761},
doi = {10.1016/j.xcrm.2026.102761},
pmid = {42013850},
issn = {2666-3791},
mesh = {Humans ; *Stomach Neoplasms/microbiology/diagnosis ; *Gastrointestinal Microbiome/genetics ; Saliva/microbiology ; Feces/microbiology ; Male ; *Mouth/microbiology ; Female ; Middle Aged ; Metagenome ; Dysbiosis/microbiology ; Aged ; },
abstract = {Microbiome dysbiosis is increasingly recognized as a hallmark of gastric cancer (GC). Here, we analyzed gut and oral shotgun metagenomic data from 317 individuals across two independent cohorts, with validation in a Harbin cohort. We identify 20 oral-gut shared species enriched in the gut of GC, predominantly lactic acid bacteria (LAB). While most gut microbial markers are abundant in saliva, none are significantly altered in GC. Strain-level analysis of 87 matched saliva-stool metagenomes confirms oral-gut transmission of Streptococcus species. GC-enriched LAB form robust co-abundance networks in oral and gut microbiomes, suggesting synergistic interactions. Functional analysis reveals enriched lactate fermentation pathways in GC stool, aligning with LAB dominance and previous findings on gastric microbiota. Moreover, microbiome-based classifiers achieve high predictive accuracy (area under receiver operating characteristic curve [AUROC] = 0.85 for stool, 0.87 for saliva) for GC diagnosis, highlighting translational potential. Collectively, these findings underscore the critical role of the oral-gut microbiome axis in GC.},
}

Humans
*Stomach Neoplasms/microbiology/diagnosis
*Gastrointestinal Microbiome/genetics
Saliva/microbiology
Feces/microbiology
Male
*Mouth/microbiology
Female
Middle Aged
Metagenome
Dysbiosis/microbiology
Aged

@article {pmid42049031,
year = {2026},
author = {Wong, O and Zheng, Z and Wang, M and Cao, A and Chan, FKL and Ng, SC and Su, Q},
title = {Microbiome biomarkers in autism spectrum disorder: Toward prediction, diagnosis, and prognosis.},
journal = {Cell reports. Medicine},
volume = {7},
number = {5},
pages = {102780},
doi = {10.1016/j.xcrm.2026.102780},
pmid = {42049031},
issn = {2666-3791},
mesh = {Humans ; *Autism Spectrum Disorder/diagnosis/microbiology ; *Biomarkers/metabolism ; Prognosis ; *Gastrointestinal Microbiome ; *Microbiota ; RNA, Ribosomal, 16S/genetics ; },
abstract = {Autism spectrum disorder (ASD) is a heterogeneous condition that lacks objective diagnostic biomarkers, often resulting in delayed intervention. Evidence increasingly links gut microbiota dysregulation to ASD pathophysiology via the microbiota-gut-brain axis, suggesting plausible translational applications. This review outlines mechanistic insights from preclinical and clinical studies to illustrate how microbial disturbances affect neurodevelopment. It examines the evolution of biomarker research from early 16S rRNA sequencing to advanced shotgun metagenomics incorporating functional integration, multi-omics, and genomic variants. Such advancements enhance diagnostic accuracy and generalizability. Although clinical causal evidence remains indirect, these microbial signatures show potential for early diagnosis, presymptomatic risk prediction, and tailored therapies. Key challenges include prospective validation in diverse cohorts, specificity testing against comorbidities, and addressing clinical heterogeneity. By summarizing methodological gaps and providing future guidance, this review aims to bridge mechanistic research and clinical practice to improve outcomes across the spectrum.},
}

Humans
*Autism Spectrum Disorder/diagnosis/microbiology
*Biomarkers/metabolism
Prognosis
*Gastrointestinal Microbiome
*Microbiota
RNA, Ribosomal, 16S/genetics

@article {pmid42059571,
year = {2026},
author = {Čepić, A and Rausch, P and Geese, T and Dempfle, A and Grassl, GA and Baines, JF},
title = {Host genetics shapes the recovery of the gut microbiome after antibiotic treatment: the role of the blood group related B4galnt2 gene.},
journal = {mSystems},
volume = {11},
number = {5},
pages = {e0164025},
doi = {10.1128/msystems.01640-25},
pmid = {42059571},
issn = {2379-5077},
support = {EXC 2167/2 - 390884018//Deutsche Forschungsgemeinschaft/ ; 237291755//Deutsche Forschungsgemeinschaft/ ; FOR 5042 - 426660215//Deutsche Forschungsgemeinschaft/ ; },
mesh = {*Gastrointestinal Microbiome/drug effects/genetics ; Animals ; *Anti-Bacterial Agents/pharmacology ; Mice ; Streptomycin/pharmacology ; RNA, Ribosomal, 16S/genetics ; Dysbiosis/genetics/microbiology ; Mice, Knockout ; Male ; Mice, Inbred C57BL ; Metagenomics ; },
abstract = {UNLABELLED: The intestinal microbiota is integral to host health, metabolism, and colonization resistance. Antibiotics can disrupt microbial homeostasis, leading to dysbiosis and altered colonization resistance. While antibiotic-induced microbiota disruption is well-documented, less is known about how host genetics shapes post-antibiotic recovery. Here, we investigate the impact of B4galnt2, a blood-group-related glycosyltransferase gene, on microbiota recovery following antibiotic treatment. Using a longitudinal, multi-omic approach-including 16S rRNA gene sequencing, metagenomics, and metatranscriptomics-we compare the microbiota dynamics of B4galnt2[+/-] and B4galnt2[-/-] mice after treatment with streptomycin, kanamycin, and vancomycin. Our findings reveal that B4galnt2[-/-] mice exhibit faster recovery of microbial diversity and composition following streptomycin treatment compared to their B4galnt2[+/-] counterparts. This accelerated recovery is associated with higher relative abundance of taxa such as Blautia, Dorea, and other Lachnospiraceae, and increased expression of motility-related genes, and differential regulation of antibiotic resistance genes (ARGs), including the aminoglycoside nucleotidyltransferase genes aadA and aadE. Genotype-dependent differences in recovery were most pronounced following streptomycin and were not consistently observed with kanamycin or vancomycin, indicating an antibiotic-by-genotype interaction shaped by the B4galnt2-associated microbiota. These results underscore the role of host genetics in shaping microbiota response and recovery following antibiotic exposure. By demonstrating the interplay between glycosylation-mediated microbiota composition, antibiotic response, and microbial recovery, our study may provide insights into the potential for personalized approaches to mitigate dysbiosis-related health outcomes.

IMPORTANCE: Antibiotic treatments disrupt the gut microbiome, often leading to long-term alterations that potentially affect host health. While much is known about how antibiotics cause microbial dysbiosis, little is understood about the factors that could influence the speed of microbial community recovery, such as host genetic differences. Using a mouse model, this study reveals that genetic variation at the blood group-related B4galnt2 gene significantly alters recovery after streptomycin treatment. Mice lacking intestinal B4galnt2 expression recover faster, with distinct changes in microbial composition, activity, and antibiotic resistance gene expression. These findings highlight how a single host gene can shape microbiota dynamics following antibiotic-induced disruption. The work emphasizes the importance of considering host genetic factors when predicting microbiome responses to antibiotics and suggests potential for genotype-guided strategies to reduce the adverse effects of microbiome-targeted therapies.},
}

*Gastrointestinal Microbiome/drug effects/genetics
Animals
*Anti-Bacterial Agents/pharmacology
Mice
Streptomycin/pharmacology
RNA, Ribosomal, 16S/genetics
Dysbiosis/genetics/microbiology
Mice, Knockout
Male
Mice, Inbred C57BL
Metagenomics

@article {pmid42059572,
year = {2026},
author = {Zhang, J and Wang, X and Wang, D and Zheng, Z and Wang, H and Ma, L},
title = {Advances and future directions in identifying specific taxa from microbial meta-omics data: from pipeline to deep learning.},
journal = {mSystems},
volume = {11},
number = {5},
pages = {e0080025},
doi = {10.1128/msystems.00800-25},
pmid = {42059572},
issn = {2379-5077},
support = {42577239, 42277193//National Natural Science Foundation of China/ ; MEER-2024-10//Open Fund of Key Laboratory of Mine Ecological Effects and Systematic Restoration, Ministry of Natural Resources/ ; },
mesh = {*Deep Learning ; *Microbiota/genetics ; *Metagenomics/methods ; *Computational Biology/methods ; Ecosystem ; },
abstract = {Molecular profiling enabled by meta-omics technologies has significantly expanded our knowledge of microbial catalog across diverse environments. Increasing attention has now been focused on identifying ecologically significant taxa, particularly keystone that stabilize communities, rare taxa that underpin functional redundancy, and indicators that reflect environmental gradients. However, current pipeline methods remain limited in deciphering complex ecological relationships and modeling the evolution of community dynamics. As a transformative computational tool, deep learning (DL) offers novel strategies to address these challenges through autonomous feature extraction, nonlinear interaction modeling, and integration of multi-modal data sets. Nevertheless, there are still obstacles to the widespread adoption of DL for collaborative identification of specific microbial taxa, primarily including the intrinsic heterogeneity and imbalance of data sets, the difficulty of model generalization across diverse ecosystems, and the limited ecological interpretability of model outputs. This review summarizes existing research advances and proposes to build a unified DL framework for multi-modal data, exploring its implementation pathways, challenges, and potential coping strategies. The envisioned framework establishes a multi-task learning architecture for unified identification of keystone, rare, and indicator taxa, incorporating domain knowledge through ecological constraint layers and explainable AI modules, while providing flexible implementation pathways for heterogeneous data integration and model customization across microbial ecosystems. This framework has the potential to form a closed-loop verification in combination with synthetic microbial community experiments, reshape the paradigm of microbial community research, and promote the transition from empirical classification to mechanistic ecological cognition.},
}

*Deep Learning
*Microbiota/genetics
*Metagenomics/methods
*Computational Biology/methods
Ecosystem

@article {pmid42096522,
year = {2026},
author = {Zhao, D and Zhang, C and Li, M and Li, H and Su, S and Zhang, X},
title = {Characteristics of carbon-fixing microbial communities and pathways across different aquatic systems in the Tianjin Binhai region.},
journal = {Journal of applied microbiology},
volume = {137},
number = {5},
pages = {},
doi = {10.1093/jambio/lxag112},
pmid = {42096522},
issn = {1365-2672},
support = {25JCZDJC00400//Tianjin Natural Science Foundation/ ; 42102299//National Natural Science Foundation of China/ ; },
mesh = {*Carbon Cycle ; *Archaea/metabolism/genetics/classification/isolation & purification ; *Bacteria/metabolism/genetics/classification ; China ; *Groundwater/microbiology ; *Water Microbiology ; Rivers/microbiology ; Microbiota ; Metagenomics ; Carbon/metabolism ; },
abstract = {AIMS: Microbial carbon fixation is central to carbon cycling and carbon sink functioning in coastal aquatic ecosystems. Although carbon fixation pathways have been increasingly investigated across diverse aquatic environments, comparative evidence remains limited for hydrologically connected yet hydrochemically contrasting coastal groundwater and surface water systems. This study aimed to compare carbon-fixation-associated microbial communities and major carbon fixation pathways across groundwater, river water, and reservoir water in the Tianjin coastal region.

METHODS AND RESULTS: We integrated metagenomic sequencing with hydrochemical analyses to characterize carbon-fixation-associated microbial communities and six representative carbon fixation pathways. Surface waters were dominated by bacteria and showed relatively stable community composition, whereas groundwater communities comprised both bacteria and archaea and displayed pronounced spatial heterogeneity. The Calvin-Benson-Bassham cycle was prevalent across all water types, and the reductive tricarboxylic acid (rTCA) cycle was also widely distributed. Groundwater showed higher contributions of the Wood-Ljungdahl pathway, the archaeal 3-hydroxypropionate/4-hydroxybutyrate and dicarboxylate/4-hydroxybutyrate cycles, together with the rTCA cycle, indicating coexisting carbon fixation strategies. Pathway abundance and module completeness further suggested differences in pathway integrity among water types. Total dissolved solids, HCO3⁻, CO32⁻, and dissolved organic carbon were key correlates of carbon fixation gene distribution.

CONCLUSIONS: Carbon-fixation-associated microbial communities, pathway distributions, and pathway integrity differed markedly between coastal groundwater and surface waters. Groundwater exhibited enhanced non-CBB cycle potentials and more diversified carbon fixation strategies, highlighting the importance of groundwater processes in evaluating carbon sequestration potential and carbon cycling in hydrochemically heterogeneous coastal aquatic systems.},
}

*Carbon Cycle
*Archaea/metabolism/genetics/classification/isolation & purification
*Bacteria/metabolism/genetics/classification
China
*Groundwater/microbiology
*Water Microbiology
Rivers/microbiology
Microbiota
Metagenomics
Carbon/metabolism

@article {pmid42119567,
year = {2026},
author = {Chen, C and Xing, Y and Xing, G and Zeng, F and Zheng, N and Sha, S and Zhao, L and Zhang, Y and Ling, Y and Yao, X and Liu, C and Zhang, Y and Mei, T and Guo, R and Kang, J and Cheng, L and Fan, S and Sun, W and Li, S and Yan, Q and Yao, X and Kong, X and Ma, W},
title = {Multi-faceted characterization of the gut microbiome and metabolome in patients with primary Sjögren syndrome.},
journal = {Cell reports. Medicine},
volume = {7},
number = {5},
pages = {102777},
doi = {10.1016/j.xcrm.2026.102777},
pmid = {42119567},
issn = {2666-3791},
mesh = {Humans ; *Sjogren's Syndrome/microbiology/metabolism ; *Gastrointestinal Microbiome/genetics ; *Metabolome ; Female ; Middle Aged ; Male ; Feces/microbiology ; Adult ; Dysbiosis/microbiology ; Aged ; Case-Control Studies ; Metagenome ; },
abstract = {The gut microbiome and its metabolomic potential in primary Sjögren syndrome (pSS) remain largely unexplored. Here, we perform whole-metagenome shotgun sequencing of fecal samples from 206 pSS patients and 355 non-pSS controls, integrating compositional and functional profiling with serum and fecal metabolomes. pSS is associated with extensive multi-kingdom alterations, including 49 bacterial (e.g., Streptococcus parasanguinis, Ligilactobacillus salivarius, and Veillonella parvula), 19 fungal (notably Candida albicans), and 1,323 viral species. These signatures form robust inter-kingdom correlations and achieve high diagnostic accuracy in an independent validation cohort. Functional and metabolomic analyses reveal enrichment of toxin-related and aromatic pathways and depletion of protective metabolites in patients. pSS-enriched bacteria harbor abundant immunogenic epitopes, virulence factors, and antimicrobial resistance genes, and induce proinflammatory responses ex vivo. Together, these findings outline a multi-faceted microbial framework for pSS and suggest mechanistic links between gut dysbiosis and immune dysregulation.},
}

Humans
*Sjogren's Syndrome/microbiology/metabolism
*Gastrointestinal Microbiome/genetics
*Metabolome
Female
Middle Aged
Male
Feces/microbiology
Adult
Dysbiosis/microbiology
Aged
Case-Control Studies
Metagenome

@article {pmid42141292,
year = {2026},
author = {Ghori, R and Ramadoss, D and Ramsland, PA and Blanch, EW and Ammanabrolu, BS},
title = {Comparative metagenomic analysis of microbial communities: unravelling microbial communities from the great Rann of Kachchh and coastal saltpans, Gujarat, India.},
journal = {Extremophiles : life under extreme conditions},
volume = {30},
number = {1},
pages = {},
pmid = {42141292},
issn = {1433-4909},
mesh = {*Microbiota ; India ; *Geologic Sediments/microbiology ; RNA, Ribosomal, 16S/genetics ; Metagenomics ; Salinity ; *Metagenome ; },
abstract = {Hypersaline environments exhibit extreme physiochemical conditions yet support diverse microbial communities. These communities are not only ecologically important but also possess substantial potential for biotechnological exploitation. In this study, we employed a comparative metagenomic approach to assess microbial diversity using two distinct methodologies: (1) direct DNA extraction from raw sediment, and (2) DNA extraction following halophilic enrichment in selective media. Sediment samples were collected from multiple sites and pooled together within the Rann of Kachchh and close-by saltpans and were analysed using 16S rRNA sequencing coupled with bioinformatics pipelines. The results revealed pronounced differences in microbial community composition between the two approaches. Raw sediment samples exhibited significantly higher alpha diversity, with dominant taxa including Halobacterota, Cyanobacteria, and Desulfobacterota, with a substantial proportion of unclassified genera. In contrast, enriched samples were dominated by fast-growing, culturable genera such as Halobacterium, Alkalibacillus, and Candidatus haloredivivus. Principal Coordinate Analysis (PCoA) of beta diversity demonstrated distinct clustering between raw and enriched communities, even within samples from the same sites, underscoring the selective bias introduced by enrichment procedures. These findings emphasise that the methodological choice strongly influences the observed microbial diversity. The aim of this study was to compare microbial community composition in raw hypersaline sediments and enrichment cultures using metagenomic sequencing, to evaluate how enrichment selectively favours specific halophilic taxa. This comparative approach allows identification of the microbial groups that rapidly proliferate under controlled hypersaline conditions, thereby complementing direct environmental sequencing. By integrating both direct and enrichment-based metagenomic approaches, a more comprehensive understanding of microbial community structure in hypersaline environments can be achieved.},
}

*Microbiota
India
*Geologic Sediments/microbiology
RNA, Ribosomal, 16S/genetics
Metagenomics
Salinity
*Metagenome

@article {pmid42148043,
year = {2026},
author = {Huang, CY and Nuwagira, E and Tisza, M and Kim, M and Tayebwa, M and Vieira, J and Lam, N and Wallach, E and Wiens, M and Tsai, AC and Valeri, L and Vallarino, J and Allen, JG and Lai, PS},
title = {Effect of Household Air Pollution on the Gut Microbiome and Virome of Adult Women Living in Uganda.},
journal = {Environmental health perspectives},
volume = {134},
number = {1},
pages = {75-90},
doi = {10.1021/EHP.6c00064},
pmid = {42148043},
issn = {1552-9924},
mesh = {Humans ; Uganda ; Female ; *Gastrointestinal Microbiome ; *Air Pollution, Indoor/statistics & numerical data/adverse effects ; Adult ; *Virome ; Middle Aged ; },
abstract = {BACKGROUND: Emerging observational studies suggest that air pollution can influence the gut microbiome. However, this association is often highly confounded by factors, such as diet and poverty. The gut virome may influence respiratory health independent of the gut microbiome. We recently demonstrated in a randomized waitlist-controlled trial (ClinicalTrials.gov NCT03351504) that a clean lighting intervention reduced the level of personal exposure to air pollution among adult women in rural Uganda. OBJECTIVES: To determine the effect of a solar lighting intervention on changes to the gut microbiome and virome and secondarily to determine the association between these changes on lung health. METHODS: Between 2018 and 2019, we collected stool samples and assessed respiratory symptoms and spirometry from 80 adult women living in rural Uganda at baseline and 12 and 18 months postrandomization. The intervention group received a solar lighting system after randomization, while the waitlist-controlled group received one at 12 months. Deep metagenomics sequencing of stool was performed and profiled for nonviral and viral taxonomic composition. The primary analysis focused on pre- vs postintervention changes due to power considerations, adjusting for potential confounding by age, diet, antibiotic use, and season. A sensitivity analysis was conducted using intention-to-treat principles. When comparing pre- vs postintervention periods, we used sparse partial least-squares models to identify nonviral and viral signatures of reduced air pollution exposure. Mixed effects models were used to evaluate changes in health outcomes as well as associations between microbial signatures of reduced air pollution exposure and health. RESULTS: The average age was 39.2 years. The solar lighting intervention led to larger changes in viral compared to nonviral microbial community structure and differential abundance of bacteria, eukaryotes, and viruses. Provision of solar lighting systems was associated with a reduction in the presence of respiratory symptoms from 57.1% to 36.1% (p = 0.002), while there was no impact on lung function. Microbiome and virome signatures had AUCs of 0.74 and 0.76, respectively, in predicting pre- vs postintervention stool samples. Microbiome signatures were associated with a lower risk of respiratory symptoms (OR = 0.68 (0.49 - 0.94), p = 0.020). CONCLUSION: Among adult women living in rural Uganda, both nonviral and viral components of the gut microbial community changed after a clean lighting intervention. Microbiome signatures reflective of lower air pollution exposures were associated with improved respiratory symptoms. These observations suggest that air pollution may influence lung health through the gut-lung axis, warranting further exploration in future intervention studies.},
}

Humans
Uganda
Female
*Gastrointestinal Microbiome
*Air Pollution, Indoor/statistics & numerical data/adverse effects
Adult
*Virome
Middle Aged

@article {pmid42149451,
year = {2026},
author = {Edelkamp, J and Lousada, MB},
title = {In Situ Laser-Capture Microdissection for Detection of Components of the Hair Follicle and Scalp Microbiome.},
journal = {Methods in molecular biology (Clifton, N.J.)},
volume = {3031},
number = {},
pages = {233-242},
pmid = {42149451},
issn = {1940-6029},
mesh = {*Hair Follicle/microbiology ; *Laser Capture Microdissection/methods ; *Microbiota/genetics ; Humans ; *Scalp/microbiology ; RNA, Ribosomal, 16S/genetics ; Metagenomics/methods ; },
abstract = {Laser-capture microdissection (LCM) enables the study of the hair follicle (HF) microbiome in relation to hair health and disease with high spatial resolution. It allows the precise excision of specific HF regions, each containing a unique and conserved microbiome, from full-length HFs encompassing all relevant HF compartments. With LCM, cross-contamination with microbiota from neighboring regions is minimized. Coupled with 16S rRNA gene or metagenomic shotgun sequencing, LCM offers great potential to assess region-specific microbiome changes, particularly in HF-associated disorders.},
}

*Hair Follicle/microbiology
*Laser Capture Microdissection/methods
*Microbiota/genetics
Humans
*Scalp/microbiology
RNA, Ribosomal, 16S/genetics
Metagenomics/methods

@article {pmid42149452,
year = {2026},
author = {Edelkamp, J and Lousada, MB},
title = {Viable vs. Nonviable Microbiota Evaluation of the Hair Follicle and Scalp Microbiome.},
journal = {Methods in molecular biology (Clifton, N.J.)},
volume = {3031},
number = {},
pages = {243-259},
pmid = {42149452},
issn = {1940-6029},
mesh = {Humans ; *Hair Follicle/microbiology ; *Microbiota/genetics ; *Scalp/microbiology ; RNA, Ribosomal, 16S/genetics ; Metagenomics/methods ; In Situ Hybridization, Fluorescence/methods ; Propidium/analogs & derivatives/chemistry ; Azides/chemistry ; Microbial Viability ; Real-Time Polymerase Chain Reaction/methods ; },
abstract = {Various hair follicle (HF)-associated disorders, such as acne vulgaris, hidradenitis suppurativa, and alopecia areata, are linked to dysbiosis, an imbalance between resident and pathogenic microbes. Characterization of the HF and skin microbiome employs techniques such as 16S rRNA gene sequencing and metagenomic shotgun sequencing, with the latter providing comprehensive taxonomic and functional insights. However, relic DNA from dead microbes and free environmental DNA can persist in samples, meaning that metagenomic data does not exclusively reflect living microbiota. For functional studies on HF dysbiosis or to assess potential therapeutic interventions, we describe here how propidium monoazide (PMA) treatment can be performed before (metagenomics) sequencing to distinguish viable microbial communities. Furthermore, we exemplify qPCR and (fluorescent) in situ hybridization (ISH) of two alternative viability screening methods for the HF and scalp microbiome.},
}

Humans
*Hair Follicle/microbiology
*Microbiota/genetics
*Scalp/microbiology
RNA, Ribosomal, 16S/genetics
Metagenomics/methods
In Situ Hybridization, Fluorescence/methods
Propidium/analogs & derivatives/chemistry
Azides/chemistry
Microbial Viability
Real-Time Polymerase Chain Reaction/methods

@article {pmid42019770,
year = {2026},
author = {Xie, M and Kong, L and Hou, L and Chen, Y and Hou, J},
title = {Atopic dermatitis: Multi-omics insights into microbiota-driven modulation of the gut-skin axis.},
journal = {Microbial pathogenesis},
volume = {216},
number = {},
pages = {108504},
doi = {10.1016/j.micpath.2026.108504},
pmid = {42019770},
issn = {1096-1208},
mesh = {Humans ; *Dermatitis, Atopic/microbiology/therapy/genetics/immunology ; *Gastrointestinal Microbiome/physiology ; *Skin/microbiology/immunology ; Metabolomics ; Metagenomics ; Receptors, Aryl Hydrocarbon/metabolism ; Fatty Acids, Volatile/metabolism ; Biomarkers ; Multiomics ; },
abstract = {Atopic dermatitis (AD) is a heterogeneous inflammatory skin disease resulting from complex interactions among host genetics, immune dysregulation, and microbial imbalance. Recent advances in multi-omics technologies have revealed distinct AD endotypes characterized by specific genetic variants, microbial enterotypes, and metabolite profiles. Emerging evidence highlights the gut-skin axis as an important regulatory pathway, in which alterations in gut microbiota influence the production of key microbial metabolites, including short-chain fatty acids (SCFAs) and tryptophan-derived aryl hydrocarbon receptor (AHR) ligands, thereby modulating Th2-dominant inflammatory responses. Integrated analyses combining metagenomics, metabolomics, and single-cell transcriptomics have further identified endotype-specific signatures, such as Bacteroides-enriched profiles associated with lipopolysaccharide-driven inflammation and Prevotella-dominant clusters linked to enhanced AHR activation and epithelial barrier repair. These findings provide a basis for precision stratification and the development of targeted therapeutic strategies, including genotype-guided biologics, microbiota modulation, engineered probiotics, phage therapy, and fecal microbiota transplantation. This review summarizes current evidence integrating host genetics, microbiota networks, and multi-omics biomarkers to provide a comprehensive framework for understanding AD endotypes and to highlight potential avenues for precision diagnosis and targeted interventions.},
}

Humans
*Dermatitis, Atopic/microbiology/therapy/genetics/immunology
*Gastrointestinal Microbiome/physiology
*Skin/microbiology/immunology
Metabolomics
Metagenomics
Receptors, Aryl Hydrocarbon/metabolism
Fatty Acids, Volatile/metabolism
Biomarkers
Multiomics

@article {pmid42132952,
year = {2026},
author = {Özel, Ş and Lauritano, D},
title = {Oral mucosal microbiome alterations in recurrent aphthous stomatitis: a systematic review of 16 S rRNA gene sequencing studies.},
journal = {Molecular biology reports},
volume = {53},
number = {1},
pages = {},
pmid = {42132952},
issn = {1573-4978},
mesh = {Humans ; *Stomatitis, Aphthous/microbiology/genetics ; *Mouth Mucosa/microbiology ; *RNA, Ribosomal, 16S/genetics ; *Microbiota/genetics ; Dysbiosis/microbiology ; Case-Control Studies ; Saliva/microbiology ; Bacteria/genetics/classification ; Recurrence ; },
abstract = {Recurrent aphthous stomatitis (RAS) is a prevalent inflammatory disorder of the oral mucosa characterized by recurrent painful ulcerations in otherwise healthy individuals. This systematic review aimed to evaluate alterations in the oral mucosal microbiome of patients with RAS based on studies using 16 S rRNA sequencing. A systematic search of PubMed, Scopus, and Web of Science was conducted on April 14, 2026. Eligible studies included human case-control investigations evaluating oral mucosal swab samples from patients with clinically diagnosed RAS and healthy controls using 16 S rRNA sequencing. Studies based solely on saliva, culture methods, PCR-only analyses, or lacking controls were excluded. Joanna Briggs Institute Critical Appraisal Checklist for Case-Control Studies was used for the evaluation of selected articles. Six studies met the inclusion criteria. Considerable heterogeneity was observed in alpha and beta diversity outcomes. Most studies reported reduced microbial richness in RAS lesions, whereas others found increased or unchanged diversity. Ulcerated sites frequently demonstrated reduced abundance of health-associated taxa such as Streptococcus and Firmicutes, with increased levels of Proteobacteria and inflammation-associated genera including Neisseria, Haemophilus, Prevotella, and Fusobacterium. Microbial alterations were most pronounced at active ulcer sites, while non-ulcerated or healed mucosa more closely resembled healthy controls. Current evidence suggests that RAS is associated with localized, site-specific microbial dysbiosis rather than generalized oral microbiome disruption. However, methodological heterogeneity and small sample sizes limit definitive conclusions. Future standardized longitudinal studies integrating functional metagenomics are warranted to clarify the role of the microbiome in RAS pathogenesis.},
}

Humans
*Stomatitis, Aphthous/microbiology/genetics
*Mouth Mucosa/microbiology
*RNA, Ribosomal, 16S/genetics
*Microbiota/genetics
Dysbiosis/microbiology
Case-Control Studies
Saliva/microbiology
Bacteria/genetics/classification
Recurrence

@article {pmid42133155,
year = {2026},
author = {Zhang, Q and He, G and Guo, Z and He, Y and Xiong, J and He, T and Lee, SL},
title = {Comparative metagenomic and metabolomic characterization of conventionally and nitrogen-only fertilized maize soils and a forest-derived fermentation-enriched microbial community.},
journal = {World journal of microbiology & biotechnology},
volume = {42},
number = {6},
pages = {},
pmid = {42133155},
issn = {1573-0972},
support = {42367039, 42267038//National Natural Science Foundation of China/ ; 2022YFD1901505//National Key Research and Development Program of China/ ; Z2024417//Guizhou Provincial Science and Technology Department/ ; Liu Jin Xiang [2024] No. 44, 202406670023//Overseas Study Program for Young Key Teachers/ ; },
mesh = {*Nitrogen/metabolism ; *Soil Microbiology ; *Zea mays/growth & development/microbiology ; Forests ; Fermentation ; Soil/chemistry ; *Metagenomics/methods ; *Fertilizers ; *Metabolomics/methods ; China ; *Microbiota/genetics ; *Bacteria/genetics/classification/metabolism/isolation & purification ; Agriculture ; Carbon/metabolism ; },
abstract = {Long-term nitrogen-only fertilization can alter soil physicochemical properties and microbial community structure in maize fields. In this study, nitrogen-only fertilized soil (S) and conventionally fertilized soil (B) were collected from a four-year maize field trial in Anshun City, Guizhou Province, China. Meanwhile, a forest-derived microbial enrichment system (T) was prepared through fermentation using forest soil, rice bran, and molasses. Metagenomic sequencing and untargeted metabolomics were used to compare microbial, functional gene, and metabolite differences between S and B soils within the agricultural field system, and to describe the microbial community composition, functional gene profiles, and metabolite features of T as an independent reference system. The results showed that Pseudomonadota accounted for 44.33% of the microbial community in T, compared with 20.63% in S and 22.31% in B. Carbon and nitrogen metabolism-related genes, including ackA, gltB, and ureC, showed higher relative abundances in T than in S. Pathway-level annotation indicated higher representation of genes or modules related to glycolysis and nitrogen metabolism in T. Metabolomic profiling revealed distinct metabolite patterns in T, including differences in amino acids, carbohydrates, and metabolites annotated to phenylpropanoid-related pathways. Candidatus Rokubacteria also showed high relative abundance among nitrogen-metabolism-associated taxa in T. Overall, this study provides descriptive multi-omics evidence of the microbial composition, functional gene profiles, and metabolite features of a forest-derived fermentation-enriched microbial community. Because T was an artificially enriched system and was not introduced into agricultural soil, these results should be interpreted as baseline data for future controlled validation rather than direct evidence of soil remediation or functional compensation.},
}

*Nitrogen/metabolism
*Soil Microbiology
*Zea mays/growth & development/microbiology
Forests
Fermentation
Soil/chemistry
*Metagenomics/methods
*Fertilizers
*Metabolomics/methods
China
*Microbiota/genetics
*Bacteria/genetics/classification/metabolism/isolation & purification
Agriculture
Carbon/metabolism

@article {pmid42137970,
year = {2026},
author = {Feser, M and Arend, D and Beier, S and Bolger, M and Lübke, NC and Meister, M and Steilen, L and Usadel, B and Scholz, U},
title = {Evolving bioinformatics services - the journey of KPI metrics with Scorpion.},
journal = {Journal of integrative bioinformatics},
volume = {},
number = {},
pages = {},
pmid = {42137970},
issn = {1613-4516},
abstract = {Key Performance Indicators (KPIs) are essential for evaluating project success and establishing control mechanisms to monitor development, performance, and user acceptance of services in joint projects. However, the absence of standardized frameworks and effective monitoring tools, combined with service providers' reluctance due to fears of comparability, has limited their adoption in scientific contexts. To address this gap, we developed Scorpion, a flexible tool for KPI monitoring in project management. Scorpion enables service providers to retain control over their metrics while supporting centralized reporting. It offers both web-based and programmatic access, with features for KPI submission, visualization, and user and service management. Initially created for bioinformatics and biodiversity projects, Scorpion is applicable across diverse domains. It is particularly valuable for initiatives like the German National Research Data Infrastructure (NFDI), where funding agencies require KPI reporting for evaluation. We present the Scorpion framework, highlighting its design principles, features, and potential to improve project management practices. Use cases illustrate how Scorpion enhances KPI monitoring efficiency and accuracy, contributing to better impact evaluation, quality assurance, and informed decision-making in project and service management.},
}

@article {pmid42138445,
year = {2026},
author = {Ndhlovu, K and Salawu-Rotimi, A and Bopape, FL and Mtsweni, PN and Babalola, OO and Hassen, AI},
title = {Elucidating the Functional and Taxonomic Diversity of Soil Microbial Communities From Three Commercial Soybean Farms in South Africa.},
journal = {Environmental microbiology reports},
volume = {18},
number = {3},
pages = {e70360},
pmid = {42138445},
issn = {1758-2229},
support = {135456//National Research Foundation (NRF), South Africa/ ; },
mesh = {South Africa ; *Glycine max/growth & development/microbiology ; *Soil Microbiology ; *Bacteria/classification/genetics/isolation & purification ; Bradyrhizobium/genetics/isolation & purification/classification ; Metagenomics ; Nitrogen Fixation ; Phylogeny ; *Biodiversity ; Farms ; *Microbiota ; RNA, Ribosomal, 16S/genetics ; },
abstract = {Prior to the introduction of the exotic inoculant strain of Bradyrhizobium, South African soils lacked the rhizobia that nodulate soybean. Five decades of soybean inoculation practice resulted in the establishment of the Bradyrhizobium population in many soybean growing fields. However, there is no record of the magnitude of this establishment and its impact on the taxonomic and functional abundance of other microbes. Here we use a shotgun metagenomics approach to elucidate the taxonomic and functional profiles of the soil microbes from selected commercial soybean farms in South Africa. Metagenomics of the total sequences revealed that Proteobacteria, Actinobacteria, Firmicutes, Acidobacteria and Bacteroitedes are the prevalent phyla which differed in their relative abundance. Bradyrhizobium was the predominant genus at all three locations. Predicted functions detected genes essential for nitrogen metabolism, including nitrogen fixation, which have been unveiled in this study at a higher rate in all locations investigated. This study uncovers the microbial communities associated with soybean soils in South Africa. The study also generated vital information on the establishment of Bradyrhizobium spp. in the soils of soybean farms, providing a clue on whether inoculation of soya beans is always necessary. The findings, however, warrant further field investigations before any recommendations are rendered.},
}

South Africa
*Glycine max/growth & development/microbiology
*Soil Microbiology
*Bacteria/classification/genetics/isolation & purification
Bradyrhizobium/genetics/isolation & purification/classification
Metagenomics
Nitrogen Fixation
Phylogeny
*Biodiversity
Farms
*Microbiota
RNA, Ribosomal, 16S/genetics

@article {pmid42138983,
year = {2026},
author = {Touceda-Suárez, M and Ponsero, AJ and Barberán, A},
title = {Urban greenspaces harbour distinct plasmid communities enriched in heavy metal resistance and competitive traits in arid soils.},
journal = {Microbiology (Reading, England)},
volume = {172},
number = {5},
pages = {},
pmid = {42138983},
issn = {1465-2080},
mesh = {*Plasmids/genetics ; *Soil Microbiology ; *Metals, Heavy/pharmacology ; Soil/chemistry ; *Bacteria/genetics/drug effects/classification/isolation & purification ; Gene Transfer, Horizontal ; Metagenome ; Microbiota/genetics ; Cities ; Humans ; *Drug Resistance, Bacterial/genetics ; },
abstract = {Plasmids drive horizontal gene transfer, a fundamental mechanism for soil bacterial evolution and antibiotic resistance emergence. In arid regions, the transformation of natural soils into urban greenspaces introduces dramatic environmental changes that influence the adaptive strategies of soil micro-organisms. Additionally, urban greenspaces can act as interfaces of antibiotic resistance spread between environmental and human microbiomes. Here, we inferred plasmids from soil metagenomes of urban greenspaces in Tucson, AZ, USA, and nearby natural arid habitats. We found urban greenspaces to select for plasmids that carried genes that confer competitive advantages, including motility, prokaryotic defence and resistance to heavy metals. Notably, urban greenspace plasmids exhibited reduced diversity (genetic and functional variants), which could in turn constrain their adaptability to rapid environmental changes. These findings underscore the importance of plasmids as agents mediating soil microbial adaptation to human activities.},
}

*Plasmids/genetics
*Soil Microbiology
*Metals, Heavy/pharmacology
Soil/chemistry
*Bacteria/genetics/drug effects/classification/isolation & purification
Gene Transfer, Horizontal
Metagenome
Microbiota/genetics
Cities
Humans
*Drug Resistance, Bacterial/genetics

@article {pmid41937023,
year = {2026},
author = {Field, CM and Keller, PM and Schultheiss, E and Gewitsch, B and Wiemer, DF and Schawaller, M and Halfter, M and Frickmann, H},
title = {Potential impact of antimalarial chemoprophylaxis with doxycycline on antimicrobial resistance genes in the enteric microbiome of deployed German soldiers - a case-control-study.},
journal = {Travel medicine and infectious disease},
volume = {71},
number = {},
pages = {102978},
doi = {10.1016/j.tmaid.2026.102978},
pmid = {41937023},
issn = {1873-0442},
mesh = {*Doxycycline/therapeutic use/pharmacology ; Humans ; *Military Personnel ; *Antimalarials/therapeutic use/pharmacology ; Case-Control Studies ; Male ; Germany ; Adult ; *Gastrointestinal Microbiome/drug effects/genetics ; Female ; *Anti-Bacterial Agents/pharmacology/therapeutic use ; Feces/microbiology ; *Drug Resistance, Bacterial/genetics ; Young Adult ; Malaria/prevention & control ; Metagenomics ; },
abstract = {BACKGROUND: Antimalarial chemoprophylaxis with doxycycline is taken by German soldiers on tropical deployments. In a case-control-assessment, diagnostic metagenomics was applied to comparatively assess antimicrobial resistance genes in enteric microbiomes of soldiers with and without medical history of doxycycline-based antimalarial chemoprophylaxis on deployment.

METHODS: Two groups of 26 military deployment returnees, each either exposed or non-exposed to antimalarial chemoprophylaxis with doxycycline, were matched by deployment site and period, age and sex in declining order of prioritization. Metagenomic analysis of stool samples was applied to detect resistance gene sequences within the sample materials.

RESULTS: In total, 3770 different antibiotic resistance genes were detected across all samples. No significant differences were found in the frequency of antibiotic resistance genes in each sample compared between the doxycycline group and the control group. Approximately one third of metagenomically assembled genomes could be identified taxonomically at the species level (32.2%) and over half at the genus level (53.9%). The overall distribution of ABR genes at the species level showed that Escherichia coli was host for over a quarter of detected genes - 1021 genes in only 42 identified genomes. Hosts with the next highest number of ABR genes were Escherichia marmotae (156 genes), Staphylococcus aureus (85 genes), Klebsiella michiganensis (63 genes) and Leclercia adecarboxylata (62 genes).

CONCLUSIONS: The study suggests - if any - only a low impact of doxycycline intake during military deployments on the enteric resistome of soldiers at post-deployment assessments. Reasons for Escherichia's high ABR gene load remain to be investigated.},
}

*Doxycycline/therapeutic use/pharmacology
Humans
*Military Personnel
*Antimalarials/therapeutic use/pharmacology
Case-Control Studies
Male
Germany
Adult
*Gastrointestinal Microbiome/drug effects/genetics
Female
*Anti-Bacterial Agents/pharmacology/therapeutic use
Feces/microbiology
*Drug Resistance, Bacterial/genetics
Young Adult
Malaria/prevention & control
Metagenomics

@article {pmid41966291,
year = {2026},
author = {Ashango, ZA and Seyum, EG and Nwogha, JS},
title = {Integrating metagenomics into legume breeding: A breeder-centered roadmap from core microbiomes to precision inoculation.},
journal = {Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases},
volume = {141},
number = {},
pages = {105941},
doi = {10.1016/j.meegid.2026.105941},
pmid = {41966291},
issn = {1567-7257},
mesh = {*Metagenomics/methods ; *Microbiota ; *Fabaceae/microbiology/genetics ; *Plant Breeding/methods ; },
abstract = {Metagenomics, culture-independent profiling of genetic material recovered from environmental samples, provides a powerful route to characterize microbial communities associated with legumes and to translate their functional potential into breeding targets that enhance resilience and productivity. Across analyses of rhizosphere, endosphere, and seed microbiomes, repeated studies consistently identify a conserved set of microbial functions linked to nutrient cycling, responses to abiotic and biotic stress, and biological control of pathogens, thereby offering mechanistic support that community-level functional capacities can shape host outcomes, including seedling vigor, nutrient-use efficiency, and stress tolerance. To move from descriptive discovery to actionable breeding, three complementary translational strategies have emerged: (i) synthetic microbial communities (SynComs) engineered to deliver targeted metabolic functions while enabling rigorous assessment of community stability and functional consistency; (ii) predictive model systems that integrate metagenomic features with phenotypic measurements to prioritize candidate taxa or functions for subsequent validation; and (iii) precision inoculation approaches that deploy validated microbes or consortia in agronomic settings to test whether metagenome-inferred functions confer robust performance under field-relevant conditions. A critical appraisal of metagenomic, multi-omics, and translational studies indicates that functional-phenotypic mappings are promising, yet substantial barriers continue to constrain reproducibility and scalability, including heterogeneity in sampling and experimental design, biases introduced by DNA extraction and sequencing, variability across bioinformatics workflows and reference databases, and overarching biosafety and regulatory constraints that can obscure true biological signals and weaken the reliability of functional inferences intended to guide selection decisions. To mainstream metagenomics in conventional legume breeding, we propose a breeders' roadmap centered on coordinated standardization and decision-ready analytics, encompassing standardized metagenomics-compatible sampling and sequencing platforms, harmonized computational frameworks and metabolic inference tools to ensure comparable functional calls, high-throughput phenotyping protocols aligned to microbiome-sensitive host traits, and selection frameworks that explicitly incorporate microbiome-oriented decision rules rather than treating microbial signals as ancillary. Finally, integrating machine learning with multi-omics datasets alongside precision delivery systems offers a practical route to generate actionable holobiont-level selection indices, and, when coupled with clearly defined translational pipelines and methodological standardization, metagenomics can broaden breeding gains beyond those achievable using host genomics alone, enabling more reliable, function-driven microbiome-assisted improvement of legume performance.},
}

*Metagenomics/methods
*Microbiota
*Fabaceae/microbiology/genetics
*Plant Breeding/methods

@article {pmid42066496,
year = {2026},
author = {Río-López, R and Vourlaki, IT and Clavell-Sansalvador, A and Valdés, A and Padilla, L and García-Gil, LJ and Xifró, X and Ballester, M and Quintanilla, R and Ochoteco-Asensio, J and Prenafeta-Boldú, FX and Dalmau, A and Ramayo-Caldas, Y},
title = {Integrative metagenomic and metabolomic profiling identifies faecal biomarkers of prolonged social stress in pigs.},
journal = {Animal : an international journal of animal bioscience},
volume = {20},
number = {5},
pages = {101823},
doi = {10.1016/j.animal.2026.101823},
pmid = {42066496},
issn = {1751-732X},
mesh = {Animals ; Biomarkers/analysis ; *Feces/chemistry/microbiology ; Metabolomics ; *Stress, Psychological/metabolism ; *Gastrointestinal Microbiome ; Metagenomics ; Swine ; *Metabolome ; Male ; *Sus scrofa/physiology ; },
abstract = {Stressors significantly impact human and animal health, increasing the risk of physical and mental disorders, in part by affecting the gut-brain axis. Although a link between stress, alterations in gut microbial composition, and the serum metabolite profile has already been established in humans, multiomics studies integrating the faecal microbiome and untargeted metabolomics remain unavailable. The objectives of the present study were twofold: first, to identify microbial and metabolic signatures associated with prolonged stress, and second, to evaluate the potential of integrative multiomics approaches to predict key metabolites and discover non-invasive faecal biomarkers of stress in pigs (n = 60). Gut microbial profiles were obtained by shotgun metagenomic sequencing, while faecal metabolites were analysed by untargeted reverse-phase liquid chromatography quadrupole time of flight mass spectrometry, followed by partial least squares discriminant analysis. Metabolite prediction from microbial features was performed using the machine learning method based on neural ordinary differential equations. Eleven discriminant metabolites were identified. In the control group, neurotransmitters such as serotonin and metabolites such as 2-acetamidophenol and sinapine (which possess anti-inflammatory and antioxidant properties) were the most prominent. Conversely, the stressed group exhibited elevated levels of xanthosine, pyrimidine bases (thymine and uracil), n-octadecylamine, and N-α-acetyl-L-lysine. N-octadecylamine (r = 0.37) showed a positive, and serotonin (r = -0.32) a negative correlation with hair cortisol. The results revealed interspecific interactions that modulated microbial and metabolic shifts between the control and stressed pig groups. Feature selection further identified 64 microbial genes that improved classification accuracy between control and stressed pigs to 91.06% and enhanced the prediction of key metabolites, including serotonin and xanthosine. Overall, this integrative multiomics framework elucidates complex microbiome-metabolite interactions and identifies non-invasive biomarkers of prolonged stress-induced metabolic dysregulation, providing valuable insights for animal welfare and translational human health research.},
}

Animals
Biomarkers/analysis
*Feces/chemistry/microbiology
Metabolomics
*Stress, Psychological/metabolism
*Gastrointestinal Microbiome
Metagenomics
Swine
*Metabolome
Male
*Sus scrofa/physiology

@article {pmid42033828,
year = {2026},
author = {Liu, X and Li, N and Wu, WM and Ambrosini, R and Zhong, B and Mei, X and Liu, R and Zhou, L and Yi, S and He, Y},
title = {Freeze-thaw aging and microbial colonization converts microplastics into nitrogen cycling hotspots.},
journal = {Journal of hazardous materials},
volume = {511},
number = {},
pages = {142170},
doi = {10.1016/j.jhazmat.2026.142170},
pmid = {42033828},
issn = {1873-3336},
mesh = {*Microplastics/metabolism/chemistry ; *Nitrogen Cycle ; *Freezing ; Nitrogen/metabolism ; Bacteria/metabolism/genetics ; Microbiota ; Soil Microbiology ; },
abstract = {As global warming intensifies, the frequency of freeze-thaw events increases, significantly impacting microbial metabolism and biogeochemical cycling. However, the synergistic effects of freeze-thaw cycles (FTCs) and pervasive microplastics (MPs) on microbial community assembly and nitrogen cycling remain poorly understood. Here, we conducted a microcosm experiment integrating metagenomic and random forest model to elucidate the co-regulatory mechanisms of FTCs and MPs on plastisphere microbial communities and nitrogen metabolism. Results revealed that FTCs accelerated the environmental aging of MPs, inducing surface cracking and oxidation, thereby creating microenvironments favorable for microbial colonization. In the experimental microcosms, the combined effects of FTCs and presence of MPs increased microbial richness and diversity, promoted community differentiation between sediment and plastisphere, and increased microbial niche specialization. Functional analyses showed that FTCs induced a functional reconfiguration of the plastisphere nitrogen metabolism, with a selective enrichment of key enzyme genes, such as nitrite reductase, which may enhance nitrite redox activity and N2O emission capacity. In the plastisphere, the contribution of Acinetobacter to nitrogen cycling increased, whereas Nitrospira declined, possibly due to oxygen limitation. Overall, our findings suggested that FTCs may facilitate transformation of MPs from inert pollutants into potentially metabolically active microhabitats, providing critical insights for assessing emerging pollutants and climate change.},
}

*Microplastics/metabolism/chemistry
*Nitrogen Cycle
*Freezing
Nitrogen/metabolism
Bacteria/metabolism/genetics
Microbiota
Soil Microbiology

@article {pmid42085791,
year = {2026},
author = {Besharati Fard, M and Ahmadi, N and Chen, Y and How, SW and De Vrieze, J and Wu, D},
title = {Tetracycline and ciprofloxacin reduce nitrification and denitrification activity and alter microbial community composition and activity in microalgal-bacterial aerobic granular sludge.},
journal = {Journal of hazardous materials},
volume = {511},
number = {},
pages = {142255},
doi = {10.1016/j.jhazmat.2026.142255},
pmid = {42085791},
issn = {1873-3336},
mesh = {*Ciprofloxacin/pharmacology ; *Tetracycline/pharmacology ; *Sewage/microbiology ; Nitrification/drug effects ; Denitrification/drug effects ; Bioreactors/microbiology ; *Anti-Bacterial Agents/pharmacology ; *Microalgae/metabolism/drug effects ; *Water Pollutants, Chemical/metabolism ; Aerobiosis ; *Microbiota/drug effects ; Bacteria/metabolism/drug effects ; Waste Disposal, Fluid/methods ; Biological Oxygen Demand Analysis ; },
abstract = {Microalgal-bacterial aerobic granular sludge (MB-AGS) systems offer promising potential for wastewater treatment under chemical stress. However, their performance in the presence of antibiotics remains poorly understood. This study evaluated the response of MB-AGS to 1000 µg/L of tetracycline and ciprofloxacin in two separate bioreactors operated under alternating dark (60 min) and light (170 min) cycles at 20 °C. Chemical oxygen demand (COD) removal remained stable at 90 ± 4% (tetracycline) and 91 ± 6% (ciprofloxacin) over 80 days, suggesting that COD conversion was not impacted by antibiotic exposure. However, phosphate removal declined from ∼63% (antibiotic-free bioreactors) to 45 ± 6% (under tetracycline exposure) and 38 ± 8% (under ciprofloxacin exposure) after addition of antibiotics. Ciprofloxacin inhibited nitrification (declined to ∼50% NH4[+] removal), associated with reduced abundance of Nitrosomonas, while tetracycline impacted denitrification, evidenced by a lower Thauera abundance. Despite these impacts, the system removed 88.3 ± 5.6% of tetracycline and 69.5 ± 12.4% of ciprofloxacin, primarily through biosorption (for both antibiotics were more than 80%). Extracellular polymeric substances content increased by ∼19% under antibiotics exposure. Metagenomic analysis indicated changes in microbial community composition and function, while the overall antibiotic resistance gene profile remained relatively stable despite dynamic changes in individual resistance genes under antibiotic exposure. These findings demonstrate the strong potential of MB-AGS systems for effective organic carbon removal, while also highlighting opportunities to further enhance nutrient removal and mitigate antibiotic resistance genes under antibiotic stress.},
}

*Ciprofloxacin/pharmacology
*Tetracycline/pharmacology
*Sewage/microbiology
Nitrification/drug effects
Denitrification/drug effects
Bioreactors/microbiology
*Anti-Bacterial Agents/pharmacology
*Microalgae/metabolism/drug effects
*Water Pollutants, Chemical/metabolism
Aerobiosis
*Microbiota/drug effects
Bacteria/metabolism/drug effects
Waste Disposal, Fluid/methods
Biological Oxygen Demand Analysis

@article {pmid41617120,
year = {2026},
author = {Hu, S and Wang, X and Xu, H and Xiong, J and Gu, Y and Cao, X and Zhou, L and Fan, Y and Wang, S and Bai, X and Shi, H and Zhu, Q and Chen, L and Shi, Z},
title = {Vaginal microbiota in late pregnancy associates with the outcomes of planned induced labor: a multicenter prospective cohort study.},
journal = {American journal of obstetrics and gynecology},
volume = {234},
number = {6},
pages = {1740-1758},
doi = {10.1016/j.ajog.2026.01.026},
pmid = {41617120},
issn = {1097-6868},
mesh = {Female ; Pregnancy ; Humans ; *Vagina/microbiology ; Prospective Studies ; *Microbiota ; Adult ; *Labor, Induced/methods ; Animals ; Pregnancy Outcome ; Genome-Wide Association Study ; Rats ; },
abstract = {BACKGROUND: Induction of labor is a commonly used obstetric method for terminating pregnancy in cases of delayed or expired pregnancy or complications, with cervical maturity being a key determinant of success. Balloon-induced labor is a safe, effective, and cost-effective induction of labor method. While clinical factors such as parity, cervical Bishop score, prepregnancy body mass index, are known to influence outcomes. Emerging evidence suggests that vaginal microbiota may also play a critical role through activation of local complement mediators and inflammatory signalling that accelerates cervical ripening. Additionally, genetic factors may influence both preterm birth risk and vaginal microbiota composition. However, the specific impact of vaginal microbiota and genetic factors on balloon-induced labor outcomes remains unclear and requires further investigation.

OBJECT: To explore the impact of the vaginal microbiota prior to delivery on the maternal and fetal outcomes of planned induced labor through metagenomic sequencing and genome-wide association studies.

STUDY DESIGN: A multicenter prospective cohort study was conducted from October 2022 to June 2024 across 5 hospitals, enrolling 635 pregnant women undergoing planned sequential induction of labor using cervical balloons combined with oxytocin. The clinical data throughout the entire pregnancy and labor period, as well as samples of vaginal and cervical secretions before the induction of labor, were collected. Firstly, the characteristics of the vaginal microbiota in all pregnant women were analyzed through metagenomic sequencing, and then the impact of vaginal microbiota differences on the maternal and fetal outcomes of planned induced labor was studied. Subsequently, a nested case-control study was performed, based on human whole genome sequencing combined with genome-wide association studies analysis on vaginal secretion samples, to investigate the role of genetic factors in planned induced labor. Finally, vaginal microbiota transplantation in pregnant rats was conducted to verify the effects of vaginal microbiota on the maternal and fetal outcomes of labor.

RESULTS: Among the participants, 167 delivered within 24 hours, 318 delivered within 24-72 hours, 50 failed induction, and 100 underwent cesarean section for miscellaneous indications. Vaginal microbiota analysis in parturients revealed that the probability of delivery within 24 hours is negatively correlated with Lactobacillus iners (L. iners) abundance, while failed induction is negatively correlated with Ralstonia mannitolilytica abundance. Cesarean section probability is positively correlated with Lactobacillus crispatus (P=0.03). Additionally, the time from balloon placement to delivery is positively correlated with L. iners (P=0.002) and negatively correlated with Lactobacillus crispatus (P=0.08, not fully significant). Genome-wide association studies analysis shows that single-nucleotide polymorphisms associated with adverse pregnancy outcomes are mainly concentrated on chromosomes 1, 4, 8, and 10. Vaginal microbiota transplantation experiments showed that pregnant rats transplanted with vaginal bacteria from women who delivered within 24 hours had the shortest delivery time, while those transplanted with vaginal bacteria from women who failed to induced labor had the longest delivery time and some experienced dystocia.

CONCLUSION: This study reveals that, in addition to genetic factors, the outcomes of planned labor induction, especially the total duration of labor and the success rate of induction, are closely related to the vaginal microbiota in women during the late stages of pregnancy. The study provides new evidence to explain the different outcomes of labor induction.},
}

Female
Pregnancy
Humans
*Vagina/microbiology
Prospective Studies
*Microbiota
Adult
*Labor, Induced/methods
Animals
Pregnancy Outcome
Genome-Wide Association Study
Rats

@article {pmid42129189,
year = {2026},
author = {Lacruz-Pleguezuelos, B and Pérez-Cuervo, A and Coleto-Checa, D and Bazán, GX and Romero-Tapiador, S and Freixer, G and Fernández-Cabezas, J and Aguilar-Aguilar, E and Martín-Segura, A and Cárdenas-Roig, N and Carrasco-Guijarro, L and Fernández, LP and Espinosa-Salinas, I and Ramírez de Molina, A and Morales, A and Tolosana, R and Ortega-Garcia, J and Pancaldi, V and Marcos-Zambrano, LJ and Carrillo de Santa Pau, E},
title = {Network topology of the gut microbiome associates with metabolic health in obesity.},
journal = {Nature communications},
volume = {17},
number = {1},
pages = {},
pmid = {42129189},
issn = {2041-1723},
mesh = {Humans ; *Gastrointestinal Microbiome/genetics/physiology ; Male ; Female ; *Obesity/microbiology/metabolism ; Middle Aged ; Cross-Sectional Studies ; Adult ; Feces/microbiology ; Metagenomics ; *Obesity, Metabolically Benign/microbiology/metabolism ; Dysbiosis/microbiology ; Phenotype ; },
abstract = {Obesity is a heterogeneous condition comprising a continuum of phenotypes with various metabolic and inflammatory profiles. Metabolically healthy obesity (MHO) identifies individuals with obesity but a relatively preserved metabolic state, although little is known about the gut microbiome features underlying this phenotype. Here, we analyzed gut microbial network structures of 931 individuals living with metabolically healthy non-obesity (MHNO), MHO, metabolically unhealthy non-obesity (MUNO), and metabolically unhealthy obesity (MUO), performing cross-sectional analyses on feces shotgun metagenomics data. Individuals with MHNO and MHO harbor more robust and functionally cohesive microbial networks, while communities from MUO and MUNO phenotypes exhibit a potentially dysbiotic state with reduced connectivity. A nutritional intervention cohort showed an improvement in network connectivity in parallel with metabolic improvements. Our findings show differences in microbial connectivity and association patterns across metabolic and obesity phenotypes, shedding light on how distinct microbial network structures may associate with host metabolic health and disease.},
}

Humans
*Gastrointestinal Microbiome/genetics/physiology
Male
Female
*Obesity/microbiology/metabolism
Middle Aged
Cross-Sectional Studies
Adult
Feces/microbiology
Metagenomics
*Obesity, Metabolically Benign/microbiology/metabolism
Dysbiosis/microbiology
Phenotype

@article {pmid42130304,
year = {2026},
author = {Preston, S and Jones, J and Huggett, MJ and Adam, AAS and White, NE and Tan, KC and Richards, Z},
title = {Comparing Microbial Communities of Diseased and Healthy Isopora palifera Corals and Adjacent Waters at the Cocos (Keeling) Islands.},
journal = {Environmental microbiology},
volume = {28},
number = {5},
pages = {e70324},
pmid = {42130304},
issn = {1462-2920},
support = {LP160101508//Australian Research Council/ ; },
mesh = {*Anthozoa/microbiology/growth & development ; Animals ; *Bacteria/genetics/classification/isolation & purification ; RNA, Ribosomal, 16S/genetics ; *Microbiota ; *Seawater/microbiology ; Islands ; Coral Reefs ; },
abstract = {Growth anomalies (GAs) are coral diseases characterised by tumour-like skeletal lesions reported globally, yet their causes remain poorly understood. Microorganisms are integral to coral health, but the role of bacterial communities in GAs remains unclear. We investigated an outbreak of GAs in Isopora palifera at the Cocos (Keeling) Islands using 16S rRNA amplicon sequencing to compare bacterial communities of GA-affected and asymptomatic corals, surrounding water and potential pollution sources. Significant differences in bacterial beta diversity were observed across sites, with an interaction between location and coral health status. Coral and water samples hosted distinct microbial communities, but there was no evidence linking GA-affected corals to local pollution. Moreover, no consistent bacterial taxa were associated with disease, suggesting that resident microbes may not be primary drivers of GAs. However, our study does not account for transient microbes that may have initiated GAs. Our findings challenge assumptions of single-agent causality and microbial compositional homogeneity in coral diseases. This study advances understanding of microbial dynamics in coral disease ecology and underscores the importance of early-stage investigation and functional metagenomics to identify viral, fungal and microbial functional shifts in disease emergence. Studying outbreaks in minimally impacted systems offers valuable baselines for disentangling natural disease processes.},
}

*Anthozoa/microbiology/growth & development
Animals
*Bacteria/genetics/classification/isolation & purification
RNA, Ribosomal, 16S/genetics
*Microbiota
*Seawater/microbiology
Islands
Coral Reefs

@article {pmid42131305,
year = {2026},
author = {Toto, F and Cardile, S and Scanu, M and Marzano, V and Petito, V and Masi, L and Puca, P and Giorgio, V and Alterio, T and Diamanti, A and De Angelis, P and Lopetuso, LR and Scaldaferri, F and Putignani, L and Del Chierico, F},
title = {Ecological patterns of the gut mycobiome and microbiome in ulcerative colitis across life stages.},
journal = {Frontiers in cellular and infection microbiology},
volume = {16},
number = {},
pages = {1769892},
pmid = {42131305},
issn = {2235-2988},
mesh = {Humans ; *Colitis, Ulcerative/microbiology/immunology ; *Mycobiome ; *Gastrointestinal Microbiome ; Adult ; Child ; Male ; Female ; *Fungi/classification/genetics/isolation & purification ; Bacteria/classification/genetics/isolation & purification ; Middle Aged ; Young Adult ; Adolescent ; Dysbiosis/microbiology ; Metagenome ; Child, Preschool ; Age Factors ; Aged ; Feces/microbiology ; },
abstract = {INTRODUCTION: Age-related variations in the gut microbial communities may influence immune regulation and inflammatory processes in inflammatory bowel diseases (IBD). However, distinguishing age effects from differences in clinical characteristics remains challenging.

METHODS: We investigated life-stage-associated patterns of the gut microbiome and mycobiome while accounting for clinical heterogeneity between paediatric and adult ulcerative colitis (UC) populations. We analysed 73 targeted metagenomes of bacteria and 69 targeted metagenomes of fungi from 26 paediatric and 47 adult patients with UC. Microbial diversity metrics and multivariate analyses were applied to evaluate community variation, and mucosal immune markers were assessed by ELISA. Clinical variables, including disease activity, duration, and treatment exposure, were considered when interpreting age-related microbial differences.

RESULTS: Fungal communities exhibited higher richness in adults and formed distinct age-related clusters in beta-diversity analyses, whereas bacterial composition remained largely comparable across age groups. Children were enriched in inflammation-associated fungi (Saccharomycetes, Aureobasidium, Cladosporium) and depleted in taxa commonly linked to gut health (Clavispora, Vishniacozyma, Betamyces). Stratification by life stage identified young adults as displaying the most pronounced dysbiosis, characterised by Basidiomycota/Ascomycota and Firmicutes/Bacteroidota ratios, and reduced Faecalibacterium prausnitzii abundance. Age-associated immune patterns were observed, with lysozyme levels increasing across life stages, correlating with sIgA, and positively associating with F. prausnitzii, although declining with increasing disease severity.

DISCUSSION: Age-related variation was more evident in fungal than bacterial communities, suggesting that host developmental and immunological factors contribute to mycobiome configuration beyond clinical imbalance alone. Together, these findings indicate that life stage is linked to ecological variation of the gut mycobiome and mucosal immune responses in UC, while bacterial communities appear primarily shaped by disease-related factors. The transition from childhood to adulthood may represent a critical window of host-fungal interaction relevant for age-tailored microbiome-based strategies.},
}

Humans
*Colitis, Ulcerative/microbiology/immunology
*Mycobiome
*Gastrointestinal Microbiome
Adult
Child
Male
Female
*Fungi/classification/genetics/isolation & purification
Bacteria/classification/genetics/isolation & purification
Middle Aged
Young Adult
Adolescent
Dysbiosis/microbiology
Metagenome
Child, Preschool
Age Factors
Aged
Feces/microbiology

@article {pmid42132311,
year = {2026},
author = {Tulloch, RL and Rojahn, J and Neaves, LE and Trujillo-González, A and Holleley, CE and Hahn, EE},
title = {Evaluating the Molecular Potential and Interpretability of DNA in Historical Spirit Collection Media.},
journal = {Molecular ecology resources},
volume = {26},
number = {4},
pages = {e70153},
pmid = {42132311},
issn = {1755-0998},
support = {//Centre for Biodiversity Analysis/ ; },
mesh = {*DNA/isolation & purification/genetics ; *Specimen Handling/methods ; Animals ; Metagenomics/methods ; DNA Barcoding, Taxonomic/methods ; Museums ; *Preservation, Biological/methods ; },
abstract = {Advancements in historical genomics increasingly leverage museum collections to study past ecosystems, species interactions and biodiversity. Formalin-fixed, ethanol-preserved specimens, once thought inaccessible to molecular analyses due to DNA degradation, are emerging as valuable genomic resources. If recoverable and reliably attributable, DNA within preservation media could provide a non-destructive alternative to conventional tissue sampling, with the potential to expand molecular access to valuable or irreplaceable specimens. We tested whether preservation media contains recoverable DNA suitable for taxonomic inference. We coupled passive adsorption and active filtration of specimen media with hot alkaline lysis DNA extraction followed by metabarcoding and shotgun metagenomics. DNA was recoverable across samples, including 41 of 61 (~67%) targets in a composite sample. However, detections were dominated by non-target taxa, indicating that preservation media retain a layered mixture of specimen-derived DNA and broader collection-level background. Detection success tracked with preservation chemistry (near-neutral pH and low residual formaldehyde) rather than specimen age. Method choice influenced detections: active filtration increased target detections but admitted more background; passive capture was sparser but more selective; shotgun sequencing retrieved broader vertebrate signals, including reptiles, but was heavily enriched for non-targets. Because both target and non-target taxa were often abundant, read-abundance cut-offs were unreliable for attribution. Spirit-media DNA is therefore best interpreted as a collection-level signal and a screening tool to identify jars with molecular potential (e.g., taxa of conservation or biosecurity interest), rather than as a definitive non-destructive proxy for specimen identity. Prioritising chemically favourable jars and implementing rigorous contamination controls should improve signal interpretability and help unlock the value of preservation media for historical genomics.},
}

*DNA/isolation & purification/genetics
*Specimen Handling/methods
Animals
Metagenomics/methods
DNA Barcoding, Taxonomic/methods
Museums
*Preservation, Biological/methods

@article {pmid41032194,
year = {2026},
author = {Naderian, R and Alibabaei, F and Paraandavaji, E and Dehghan, P and Eslami, M},
title = {Phage-Microbiota Interactions in the Gut: Implications for Health and Therapeutic Strategies.},
journal = {Probiotics and antimicrobial proteins},
volume = {18},
number = {3},
pages = {3633-3647},
pmid = {41032194},
issn = {1867-1314},
mesh = {Humans ; *Bacteriophages/physiology/genetics ; *Gastrointestinal Microbiome ; Bacteria/virology ; Animals ; },
abstract = {The diversified ecology of microorganisms, including bacteria, archaea, fungi, protozoa, and viruses known collectively as the gut microbiota, which includes bacteriophages, is crucial to human health because it affects functions like immune system regulation, vitamin production, and pathogen protection. Bacteriophages are viruses that infect bacteria and are increasingly recognized as a viable treatment option for antibiotic-resistant strains, owing to their high host specificity, which enables precise targeting of drug-resistant bacteria while sparing commensal microbiota. The complex relationships between bacteriophages and gut microbiota are examined, with emphasis on their roles in maintaining health and contributing to disease. Gut microbiota homeostasis is influenced by a number of factors, including age, nutrition, and drugs. Bacteriophages, via lytic cycles and lysogenic conversion, influence the gut microbiota composition and microbial community structure. Gaining an understanding of these processes is crucial to appreciating their contribution to the stability and variety of microbes. Recent research highlights the gut phageome's potential for therapeutic interventions by demonstrating its substantial influence on immunological responses and metabolic problems. The study of phage-microbiota interactions has been transformed by cutting-edge technologies, including high-throughput sequencing, CRISPR-Cas systems, and viral metagenomics, which allow for thorough research and the creation of new therapeutics. Even though tailored medicine and pathogen management hold great potential, obstacles such as regulatory difficulties and bacterial resistance call for additional investigation. Phage-based therapeutic strategies are rapidly advancing, ranging from genetically engineered phages and phages with modified capsid proteins designed to enhance efficacy to phage cocktails that target multiple bacterial strains.},
}

Humans
*Bacteriophages/physiology/genetics
*Gastrointestinal Microbiome
Bacteria/virology
Animals

@article {pmid41628857,
year = {2026},
author = {Theodosiou, AA and Bogaert, D and Cleary, DW and Fady, PE and Feehily, C and Gilbert, JA and Greenhough, B and Guardabassi, L and Hall, LJ and Harman, T and Kuijper, EJ and Lebeer, S and Lorimer, J and Spector, TD and Jones, CE},
title = {Microbiome research in practice: priorities for clinical translation and impact.},
journal = {Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases},
volume = {32},
number = {6},
pages = {927-935},
doi = {10.1016/j.cmi.2026.01.021},
pmid = {41628857},
issn = {1469-0691},
mesh = {Humans ; *Microbiota ; *Translational Research, Biomedical ; },
abstract = {BACKGROUND: Rapid advances in microbiome science have sparked clinical and commercial enthusiasm for interventions, yet translation into practice risks outpacing both mechanistic understanding and the infrastructure required for safe adoption.

OBJECTIVES: To outline a coordinated research, clinical, social, and policy agenda for advancing safe, effective, and equitable microbiome-based interventions.

SOURCES: We convened an interdisciplinary Royal Society-funded expert workshop (Leeds, UK, October 2024) with international leaders in microbiome science, clinical trials, regulation, and social science. Thematic analysis of workshop discussions and written contributions identified priority domains for translation.

CONTENT: Three intersecting priorities emerged: scientific credibility, practical viability, and stakeholder engagement. Scientific credibility demands investment in multiomic and strain-level characterization of host-microbiome interactions on a large scale, benchmarking of clinical and microbiological endpoints, and harmonization of trial conduct and reporting. Clinical adoption requires fit-for-purpose regulation, diversified investment to address funding bottlenecks, and coordinated capacity building. Meaningful stakeholder engagement with clinicians, patients, policymakers, and the public is essential to foster confidence, develop clinically relevant research questions, and ensure equitable implementation of any new technology.

IMPLICATIONS: To realize the clinical impact of microbiome interventions, sustained collaboration across disciplines is essential. This review offers a translational roadmap and actionable priorities to accelerate safe, effective, and equitable microbiome-based interventions-ensuring the field fulfils its clinical potential and delivers real-world impact.},
}

Humans
*Microbiota
*Translational Research, Biomedical

@article {pmid41933201,
year = {2026},
author = {Prasoodanan Pk, V and Maistrenko, OM and Fullam, A and Mende, DR and Kartal, E and Coelho, LP and Spang, A and Bork, P and Schmidt, TSB},
title = {Unbinned contigs expand known diversity in the global microbiome.},
journal = {Nature microbiology},
volume = {11},
number = {5},
pages = {1437-1449},
pmid = {41933201},
issn = {2058-5276},
support = {12/RC/2273-P2 (APC Microbiome)//Science Foundation Ireland (SFI)/ ; 947317 (ASymbEL)//EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council)/ ; FT230100724//Department of Education and Training | Australian Research Council (ARC)/ ; },
mesh = {*Microbiota/genetics ; *Archaea/genetics/classification ; *Bacteria/genetics/classification ; *Metagenome ; Phylogeny ; *Biodiversity ; Soil Microbiology ; Ecosystem ; Genetic Variation ; Metagenomics ; },
abstract = {The ongoing census of microbial life is hampered by disparate sampling across Earth's habitats, challenges in isolating uncultivated organisms, limited resolution in taxonomic marker gene amplicons and incomplete recovery of metagenome-assembled genomes. Here we quantify discoverable Bacterial and Archaeal diversity in a comprehensive, curated cross-habitat dataset of 92,187 publicly available metagenomes. Clustering 502 million sequences of 130 marker genes, we predict ~705,000 Bacterial and ~27,000 Archaeal species-level clades, the vast majority of which were hidden among unbinned contigs. We estimate that ten and 145 previously undescribed Archaeal and Bacterial phyla, respectively, are discoverable in this dataset. We identify soils and aquatic environments as hotspots of discoverable lineages, but predict that undescribed taxa remain abundant across all habitats. Finally, we show that prokaryotic diversity appears to arise within common evolutionary patterns, as clade size distributions follow power laws, consistently across the Tree of Life.},
}

*Microbiota/genetics
*Archaea/genetics/classification
*Bacteria/genetics/classification
*Metagenome
Phylogeny
*Biodiversity
Soil Microbiology
Ecosystem
Genetic Variation
Metagenomics

@article {pmid41947210,
year = {2026},
author = {Tang, G and Zhang, C and Zhang, X and Liu, H and Suen, G and Yao, J and Zhang, J},
title = {Multi-omics revealed the effects of rumen to blood path on early lactation performance in transition dairy cows.},
journal = {Microbiome},
volume = {14},
number = {1},
pages = {},
pmid = {41947210},
issn = {2049-2618},
support = {2023YFE0111800//National Key Research and Development Program of China/ ; 2024-JSGG-021//the National Center of Technology Innovation for Dairy/ ; 2024BBF01006//Key Research and Development Project of Ningxia Hui Autonomous Region/ ; },
mesh = {Animals ; Cattle ; *Rumen/microbiology/metabolism ; *Lactation/physiology ; Female ; Milk/chemistry/metabolism ; *Gastrointestinal Microbiome ; Metagenomics/methods ; *Bacteria/classification/genetics/isolation & purification ; Postpartum Period ; Fatty Acids, Volatile/analysis/metabolism ; Metabolomics ; Multiomics ; },
abstract = {BACKGROUND: The transition period is vitally important to the life cycle of dairy cows. However, the function of the microbiota during both pre- and post-partum and their relationship with ruminal, plasma, and milk metabolites still require systematic investigation. To address this, the 7 highest- and 7 lowest-performing animals among a cohort of 100 dairy cows were selected based on their postpartum energy-corrected milk yield. Rumen fluid and plasma samples were collected during both pre- and post-partum periods, whereas milk samples were obtained postpartum. Shotgun metagenomics of rumen contents in addition to metabolomics of rumen, plasma, and milk samples were performed to evaluate the associations between ruminal microbes and early lactation performance in transition dairy cows.

RESULTS: Compared with prepartum cows, postpartum high-yield cows had greater concentrations of ruminal volatile fatty acids and plasma total bile acid. Moreover, plasma urea nitrogen and most amino acids, peptides, and their derivatives in plasma and milk were increased in postpartum high-yield cows, relative to postpartum low-yield cows. Metagenomic analysis revealed that the relative abundances of several species within the Prevotella, Succinimonas, Succinatimonas, and Methanosphaera increased, while other bacteria belong to Alistipes and Bacteroides, and archaeal Methanobrevibacter species decreased in postpartum cows, particularly in postpartum high-yield cows. Co-occurrence network and correlation analysis suggested that Prevotella and Succinatimonas were negatively correlated to Alistipes, Bacteroides, and Methanobrevibacter, potentially contributing to the nutritionally efficient phenotype of postpartum high-yield cows. A metabolic pathway analysis of our metagenomic data revealed that postpartum high-yield cows possessed more microbial genes involved in starch utilization and amino acid synthesis, while a wide range of microbial genes involved in cellulose utilization, acetogenesis, and amino acid degradation were found in prepartum cows with low-yield in postpartum. A structural equation model analysis showed that the increased relative abundances of Prevotella tf.2-5 and Succinatimonas CAG_777 were related to greater concentrations of plasma chenodeoxycholic acid glycine conjugate, milk 5-Methoxytryptophan, and energy-corrected milk yield. Finally, pan-genomic analysis confirmed that Alistipes, Bacteroides, and Methanobrevibacter possess genetic conservation of both hydrogenases and dehydrogenases, which may contribute to energy loss in the rumen via hydrogen dissipation.

CONCLUSION: In summary, our findings provide a fundamental understanding of how microbiome-dependent mechanisms contribute to early lactation performance in dairy cows during the transition period. The increased abundance of Prevotella, Succinimonas, and Succinatimonas in postpartum cows suggest that they are important microbes during the transition period and may help in coping with metabolic challenges, while improving nutrient utilization efficiency during this period. Our study underscores the importance of the ruminal microbiome during the transition period and highlights the need for rumen-based nutritional intervention strategies to improve production efficiency in ruminants. Video Abstract.},
}

Animals
Cattle
*Rumen/microbiology/metabolism
*Lactation/physiology
Female
Milk/chemistry/metabolism
*Gastrointestinal Microbiome
Metagenomics/methods
*Bacteria/classification/genetics/isolation & purification
Postpartum Period
Fatty Acids, Volatile/analysis/metabolism
Metabolomics
Multiomics

@article {pmid41996860,
year = {2026},
author = {Ji, Z and Fu, Z and Miao, L and Hang, D and Gu, A},
title = {Relationship between pesticide exposure, gut microbiota, and hypertension.},
journal = {Environment international},
volume = {211},
number = {},
pages = {110250},
doi = {10.1016/j.envint.2026.110250},
pmid = {41996860},
issn = {1873-6750},
mesh = {*Gastrointestinal Microbiome/drug effects ; Humans ; *Pesticides/adverse effects/blood/toxicity ; *Hypertension/epidemiology/microbiology/chemically induced ; *Environmental Exposure/statistics & numerical data ; Middle Aged ; Male ; China/epidemiology ; Adult ; Female ; },
abstract = {BACKGROUND: Both pesticide exposure and gut dysbiosis have been independently linked to an elevated risk of hypertension. However, the extent of interaction between these two factors remains poorly characterized in human populations.

METHODS: In a population-based study involving 218 adults from Jiangsu Province, China, we quantified pesticides in serum using LC-MS/MS and analyzed the gut microbiome via metagenomic sequencing. An environmental risk score (ERS) was created to represent pesticide exposure. We also used Mendelian randomization (MR) to identify causal gut microbial genera, multivariable regression for associations, and mediation analysis for potential pathways. Machine learning models were applied to differentiate hypertensive from non-hypertensive individuals based on a combined set of features.

RESULTS: Fourteen pesticides, notably bentazone and perfluorohexanesulfonate, were significantly associated with increased hypertension risk, and the ERS based on these pesticides further corroborated this association. Additionally, the overall microbiota composition was significantly associated with both pesticide exposure and hypertension status. Observational and MR analyses consistently identified branches of Clostridium as potentially contributors to hypertension risk. An interaction was observed between pesticide exposure and specific bacterial taxa. Specifically, high ERS combined with high Catenibacterium (both defined using a median split) abundance increased hypertension risk nearly fourfold. A neural network model achieved the best differentiation performance (AUC = 0.897) for hypertension.

CONCLUSIONS: Exposure to specific pesticides, particularly bentazone, is associated with increased hypertension risk. This relationship is influenced by interactions with gut bacteria and partially mediated through alterations in the gut microbiota. These findings highlight the role of environmental chemicals and the gut microbiome in the development of hypertension.},
}

*Gastrointestinal Microbiome/drug effects
Humans
*Pesticides/adverse effects/blood/toxicity
*Hypertension/epidemiology/microbiology/chemically induced
*Environmental Exposure/statistics & numerical data
Middle Aged
Male
China/epidemiology
Adult
Female

@article {pmid42000179,
year = {2026},
author = {Iakovides, IC and Vasileiadis, S and Christou, A and Karaolia, P and Mina, T and Rocha, J and Duan, Y and Beretsou, VG and Gallois, N and Changey, F and Michael, C and Coelho, LP and Manaia, CM and Merlin, C and Fatta-Kassinos, D},
title = {Storage and soil depth, in addition to wastewater treatment, govern microbiota, and mobile genetic element and antibiotic resistance markers during reclaimed water irrigation.},
journal = {Water research},
volume = {300},
number = {},
pages = {125889},
doi = {10.1016/j.watres.2026.125889},
pmid = {42000179},
issn = {1879-2448},
mesh = {Agricultural Irrigation ; *Wastewater/microbiology ; *Microbiota ; *Drug Resistance, Microbial/genetics ; *Soil/chemistry ; RNA, Ribosomal, 16S/genetics ; Soil Microbiology ; Water Purification ; Lactuca ; Bacteria/genetics ; },
abstract = {Reclaimed water (RW) offers a sustainable solution for agricultural irrigation and freshwater conservation, but its microbial and chemical composition, shaped by treatment and storage processes, requires careful consideration for environmental and public health impacts. This study compared two RW types (conventional activated sludge with sand filtration and chlorination - CAS + SFC-RW - and membrane bioreactor - MBR-RW) with a tube well (TW) water control. The goal was to assess how storage influences the microbial composition, key antibiotic resistance and mobilome genes, and RW the impact on irrigated lysimeter soils during lettuce cultivation. Total bacteria were profiled using 16S rRNA gene sequencing and ddPCR, while antibiotic resistance genes (ARGs) and mobile genetic elements (MGEs) were quantified by ddPCR and analysed by metagenomics. Initial RW samples had 1-1.5 orders of magnitude more 16S rRNA copies compared with the control, with significantly different bacterial and ARG/MGE profiles. Actinomycetota dominated CAS + SFC-RW, Bacteroidota the MBR-RW, and Pseudomonadota the TW water. Class 1 integrons and Tn916/Tn1545 were more abundant in CAS + SFC-RW compared with the MBR-RW. Storage reduced these differences toward convergence with the TW water profile, with putative pathogenic taxa, however, being more recalcitrant to change. RW irrigation altered soil bacterial composition, with MBR-RW having a greater impact as declared by the enhanced presence of Bacteroidota in the receiving soils. The RW influence was inversely related with vertical distance of the irrigation point, while the lettuce crop presence showed minimal/no impact. These results highlight the need for careful management of RW treatment and storage to ensure safe, resilient agricultural practices.},
}

Agricultural Irrigation
*Wastewater/microbiology
*Microbiota
*Drug Resistance, Microbial/genetics
*Soil/chemistry
RNA, Ribosomal, 16S/genetics
Soil Microbiology
Water Purification
Lactuca
Bacteria/genetics

@article {pmid42014454,
year = {2026},
author = {Muller, E and Bamberger, T and Borenstein, E},
title = {Navigating multi-omic integration methods for human microbiome research.},
journal = {Nature microbiology},
volume = {11},
number = {5},
pages = {1153-1167},
pmid = {42014454},
issn = {2058-5276},
support = {U19AG057377//U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging)/ ; 2266/25//Israel Science Foundation (ISF)/ ; },
mesh = {Humans ; *Microbiota/genetics ; *Computational Biology/methods ; Host Microbial Interactions ; *Metagenomics/methods ; Multiomics ; },
abstract = {Multi-omic studies in human microbiome research hold great potential for advancing our understanding of host-microbiome interactions. However, despite the growing availability of multi-omic datasets, analysing such data remains a major conceptual, analytical and computational challenge. Introduction of new multi-omic integration methods to address these challenges further complicates researchers' efforts to navigate this expanding field. In this Review, we outline the landscape of multi-omic integration methods in the context of human microbiome research. In contrast to previous reviews, we specifically emphasize the different biological questions addressed by various integration approaches, including questions related to interactions between different molecular layers, molecular shifts that occur in disease, subgrouping of patients based on molecular profiles, and identification of biological mechanisms that underlie such associations. Our aim is to provide a timely, convenient and comprehensive resource for the microbiome research community, allowing researchers to identify the multi-omic integration approach that is best suited to their data and objectives.},
}

Humans
*Microbiota/genetics
*Computational Biology/methods
Host Microbial Interactions
*Metagenomics/methods
Multiomics

@article {pmid42021724,
year = {2026},
author = {Batra, N and Rout, PR and Dey, P},
title = {Modulation and adaptation of gut microbial metabolic functions under probiotic and postbiotic treatment using a novel in vitro anaerobic pseudo-colon system.},
journal = {Food & function},
volume = {17},
number = {9},
pages = {4245-4261},
doi = {10.1039/d5fo04976h},
pmid = {42021724},
issn = {2042-650X},
mesh = {*Probiotics/pharmacology ; *Gastrointestinal Microbiome/drug effects ; Humans ; Feces/microbiology ; Bacteria/classification/genetics/isolation & purification/metabolism/drug effects ; Butyrates/pharmacology/metabolism ; Lactiplantibacillus plantarum ; Anaerobiosis ; *Colon/microbiology/metabolism ; },
abstract = {Probiotic and postbiotic compounds found in food influence gut microbiota to attenuate chronic metabolic diseases; however, the underlying mechanisms are not yet fully understood. This study employed a customized in vitro anaerobic pseudo-colon system (AMMR) to evaluate the impacts of Lactiplantibacillus plantarum (probiotic) and butyrate (postbiotic) on gut microbial composition and functionality, using human fecal samples. Metagenomic (16S rRNA) profiling and untargeted metabolomic (GC-MS) analysis were conducted after 48 h treatments. The results showed that butyrate supplementation markedly enhanced microbial diversity, inhibited opportunistic pathobionts (e.g., Enterococcus and Klebsiella), and selectively enriched butyrate producers (e.g., Lachnoclostridium), while diminishing the Firmicutes : Bacteroidetes ratio. It increased indole levels metabolically and redirected pathways towards amino acid synthesis and energy metabolism, while suppressing fatty acid formation. In contrast, L. plantarum exhibited modest alterations in microbial diversity while enhancing Bacteroides and Klebsiella and preserving elevated Enterococcus levels. It elevated saturated fatty acids (octanoic/capric acid) and enhanced amino acid catabolic pathways (valine/leucine) and redox regulators (taurine metabolism). Correlation analysis revealed that butyrate was associated with fiber-degrading microbes, whereas L. plantarum was associated with lactic acid bacteria, suggesting distinct ecological niches and interaction patterns. These findings collectively indicate that butyrate and L. plantarum elicit complementary microbial alterations, i.e., butyrate directly transforms the microbial structure and metabolism towards an anti-inflammatory phenotype, while L. plantarum largely influences via metabolic byproducts and niche adjustment. The complementary actions highlight the therapeutic potential of integrated probiotic-postbiotic approaches for the enhancement of gut health.},
}

*Probiotics/pharmacology
*Gastrointestinal Microbiome/drug effects
Humans
Feces/microbiology
Bacteria/classification/genetics/isolation & purification/metabolism/drug effects
Butyrates/pharmacology/metabolism
Lactiplantibacillus plantarum
Anaerobiosis
*Colon/microbiology/metabolism

@article {pmid42085931,
year = {2026},
author = {Wang, Z and Wang, Y and Peters, BA and Post, WS and Brown, TT and Palella, FJ and Rinaldo, CR and Witt, MD and Gange, SJ and Kuniholm, MH and Sha, BE and Chichetto, NE and Clish, CB and Gerszten, RE and Hodis, HN and Sharma, A and Anastos, K and Burk, RD and Kaplan, RC and Qi, Q and Hanna, DB},
title = {Multi-omics analysis of the gut microbiome and carotid artery atherosclerosis in men with and without HIV.},
journal = {EBioMedicine},
volume = {127},
number = {},
pages = {106281},
pmid = {42085931},
issn = {2352-3964},
mesh = {Humans ; Male ; *Gastrointestinal Microbiome ; *HIV Infections/complications/microbiology ; *Carotid Artery Diseases/etiology/metabolism/microbiology/complications/diagnosis ; Middle Aged ; Biomarkers ; Aged ; *Metabolomics/methods ; Metagenomics/methods ; Adult ; Plaque, Atherosclerotic ; Metabolome ; Multiomics ; },
abstract = {BACKGROUND: How gut microbiota alterations may contribute to host inflammation and metabolomic profiles affecting atherosclerosis is not fully elucidated, especially in the context of HIV.

METHODS: We examined associations between gut microbial features (measured by shotgun metagenomics) and subclinical carotid atherosclerosis, as assessed by high-resolution B-mode ultrasound, in 359 men from the MACS/WIHS Combined Cohort Study. We measured 822 plasma metabolites using LC-MS/MS, and up to 2866 circulating proteins by the Olink Explore 3072/384 platform (with a primary focus on 617 proteins related to inflammation and immune function).

FINDINGS: Carotid artery plaque was detected in 115/359 men (32%). Adlercreutzia equolifaciens and Eubacterium sp3131 were associated with lower odds of plaque (OR [95% CI] = 0.57 [0.43, 0.77], 0.84 [0.76, 0.93], respectively), while Coprococcus sp13142 was associated with higher odds of plaque (OR [95% CI] = 1.14 [1.06, 1.23]). Results were consistent in men both with and without HIV. A. equolifaciens was positively correlated with HDL cholesterol and inversely correlated with systolic blood pressure. These plaque-associated microbial species were also associated with a range of circulating metabolites and inflammatory proteins. For example, A. equolifaciens positively correlated with the metabolites palmitoyl-EA and mesobilirubinogen, and inversely correlated with the pro-inflammatory chemokine CXCL9, the immune regulator CD160, and IL-24.

INTERPRETATION: We identified gut microbial features associated with carotid artery atherosclerosis, consistent across HIV status; these associations were partially explained by specific microbiota-related metabolites and inflammatory markers. If validated, these findings suggest gut microbiota-related targets for CVD prevention.

FUNDING: The study was funded by the National Heart, Lung, and Blood Institute (U01HL146204-04S1, K01HL169019).},
}

Humans
Male
*Gastrointestinal Microbiome
*HIV Infections/complications/microbiology
*Carotid Artery Diseases/etiology/metabolism/microbiology/complications/diagnosis
Middle Aged
Biomarkers
Aged
*Metabolomics/methods
Metagenomics/methods
Adult
Plaque, Atherosclerotic
Metabolome
Multiomics

@article {pmid42121260,
year = {2026},
author = {Zhou, Z and Lamanna, A and Halder, R and Pansart, E and Narayanasamy, S and Boussoufa, B and Kerkour, T and Wilmes, P and Williams, E},
title = {Integrative analysis of the mouse cecal microbiome across diet, age, and weight in the diverse BXD population.},
journal = {Microbiome},
volume = {14},
number = {1},
pages = {},
pmid = {42121260},
issn = {2049-2618},
support = {PRIDE21/16749720/NEXTIMMUNE2//Luxembourg National Research Fund/ ; },
mesh = {Animals ; *Cecum/microbiology ; Mice ; *Gastrointestinal Microbiome/genetics ; *Body Weight ; Diet, High-Fat ; Male ; Age Factors ; Diet ; Transcriptome ; *Bacteria/classification/genetics/isolation & purification ; Metagenome ; Metagenomics/methods ; },
abstract = {BACKGROUND: The gut microbiota adapts to and shapes the host's metabolic state through affecting circulating metabolites and consequent gene regulatory networks, resulting in systemic influences in diverse organs via connections such as the gut-liver axis. Numerous variables such as diet, age, and host genetics modulate the composition of the gut microbiome, but their interactions and specific associative and mechanistic links to host molecular phenotypes remain incompletely unannotated. Integrated multi-omics approaches in genetically diverse populations offer an opportunity to dissect these interactions and identify predictive microbial signatures for host phenotypes, such as body weight and molecular associations with gene expression pathways in gut and liver.

RESULTS: We sequenced, aligned, and integrated the cecal metagenome, metatranscriptome, and host transcriptome from 232 mice across 175 distinct cohorts according to a low-fat chow diet (CD) or a high-fat diet (HF), four adult ages (between roughly 180 to 730 days of age), and 43 distinct genotypes (inbred BXD strains). Genetics and diet exerted the strongest influence on microbiota abundance and activity, followed by age. HF feeding significantly reduced diversity across all ages and all genotypes, altering > 300 species. Machine learning models based on microbial profiles reliably predicted body weight within dietary group (AUC = 0.84 for CD, 0.79 for HF) and chronological age (AUC = 0.84), with model performance of age prediction rising to 0.95 when integrating top microbial features with liver proteomics. Network analyses of expression data revealed links between genes, pathways, and specific microbes, including a negative association between cecal Ido1 expression and short-chain fatty acid (SCFA)-producing Lachnospiraceae, suggesting dietary fat may modulate host tryptophan metabolism through microbiota shifts.

CONCLUSIONS: Whole metagenome and metatranscriptome sequencing approaches have massively expanded the landscape of microbiome analysis compared to earlier short-read 16S analyses. The resulting datasets quantify hundreds of uniquely identifiable microbes, which can be used to create sets of highly predictive microbial biomarkers for aging and obesity. When trained on controlled mouse populations, these results demonstrate that microbiome profiling can achieve high predictive capacity (AUC = 0.95 with multi-omics integration) for complex readouts such as age and body weight (AUC = 0.84), even considering genetic and dietary variation, establishing a framework for biomarker development. While at present many bacteria are still functionally unannotated at the species level, multi-omics approaches - including gene expression from the host tissues - provide insights into the functional associations of specific taxa in the microbiome. Video Abstract.},
}

Animals
*Cecum/microbiology
Mice
*Gastrointestinal Microbiome/genetics
*Body Weight
Diet, High-Fat
Male
Age Factors
Diet
Transcriptome
*Bacteria/classification/genetics/isolation & purification
Metagenome
Metagenomics/methods

@article {pmid42121788,
year = {2026},
author = {Gao, F and Zuo, Z and Wu, Q and Xiao, H and Peng, Z and Zou, L and Jiang, G and Tian, X and Feng, Z and Xie, X and Tian, L},
title = {Analysis of Ochetobibus elongatus (Kner) Dietary Habits Based on Digestive System Morphology, Histology, and Intestinal Content Sequencing Technology.},
journal = {Animals : an open access journal from MDPI},
volume = {16},
number = {9},
pages = {},
pmid = {42121788},
issn = {2076-2615},
support = {HARS-07//Hunan Provincial Modern Agriculture (Aquaculture) Industry Technology System Project/ ; },
abstract = {Ochetobibus elongatus (Kner) is a migratory fish found in the Yangtze River basin and areas south of it, and listed as a critically endangered (CR) fish on the China Red List of Vertebrates. To achieve group recovery and artificial breeding, this study investigated the dietary characteristics of O. elongatus based on high-throughput sequencing of its intestinal contents, and its digestive system morphology, and its histology. Results showed that the digestive system of O. elongatus lacked a stomach and mainly consisted of the oropharynx, pharyngeal teeth, esophagus, intestine, and anus. The gut index was 0.88, with clear segmentation of the foregut, midgut, and hindgut, and the visceral mass index was 7.35%. Histological analysis of the digestive system revealed the presence of keratinized dental plates or pharyngeal teeth in the pharynx, as well as a high density of taste bud cells in the soft palate of the oral cavity. The surface layer of the intestinal villi contained numerous mucous cells, with the average number of mucous cells per villus gradually increasing from the esophagus to the hindgut, and the foregut having the longest and most abundant mucosal folds. The esophagus exhibited well-developed circular and longitudinal muscle layers, while in the hindgut, both the circular and longitudinal muscle layers were slightly thicker than those in the midgut. High-throughput sequencing of the intestinal contents of O. elongatus revealed the following phyla based on 18S V4 meta-barcoding: Chlorophyta, Diatoms, Arthropoda, Basidiomycetes, and Ascomycetes, with the genus Hypophthalmichthys and algae being the main classifications. In contrast, based on COI meta-barcoding, the study newly identified the phyla Cnidaria and Mollusca, with the genera Chlorophyta, Scenedesmus, Pectinodesmus, and zooplankton such as Pseudodiaptomus. Metagenomic sequencing revealed that the gut microbiota at the phylum level was predominantly composed of Pseudomonadota, Ascomycota, Basidiomycota, Chytridiomycota, and Bacillota, with key genera including Cetobacter, Pseudomonas, Acinetobacter, Aeromonas, and Clostridium. This study indicates that O. elongatus is an omnivore with carnivorous tendencies. Basic biological research on O. elongatus is of great significance for the restoration of the population, artificial breeding, and the development of its artificially formulated feed. It also provides important data for the formulation of biodiversity conservation measures.},
}

@article {pmid42123326,
year = {2026},
author = {Zaman, S and Ali, N and Ullah, W and Taimur, N and Akbar, NU and Waheed, A and Muhammad, N and Khan, MS},
title = {Metagenomic Profiling Reveals Extensive Bacterial Diversity in Chicken Manure and Associated Contaminated Wastewater.},
journal = {International journal of molecular sciences},
volume = {27},
number = {9},
pages = {},
pmid = {42123326},
issn = {1422-0067},
mesh = {Animals ; Chickens/microbiology ; *Manure/microbiology ; *Wastewater/microbiology ; *Metagenomics/methods ; *Bacteria/genetics/classification/isolation & purification ; Metagenome ; Microbiota/genetics ; Biodiversity ; },
abstract = {Chicken manure and its potential to contaminate water systems through the dispersal of pathogenic bacteria are major concerns in environmental and public health. In this study, a metagenomic analysis was employed to systematically identify and compare bacterial assemblages in chicken manure (CM) and in a contaminated sample of chicken manure wastewater (CMW). Whole DNA was extracted from CM and CMW, followed by whole-genome shotgun sequencing; data analysis was done using online Galaxy software (ver. 26.0.1.dev1). Metagenomic analysis reveals a complex One Health challenge. Data showed that CM and CMW are different in their microbiota, as indicated by a distinct separation of beta diversity values and limited overlapping of species between sample types. In the current study, we found a greatly significant common functional set of adapted bacterial masses, including major pathogenic bacterial groups as well as opportunistic and environmental bacterial species, indicative of a direct contamination from CM and CMW. Notably, in both CM and CMW, a plethora of opportunistic, enteric, and environmental pathogens like Escherichia coli, Salmonella enterica, and Acinetobacter baumannii were found, coupled with an indication of a direct functional flow between both ecosystems as tangled reservoirs. Chicken manure samples showed differences in taxonomic composition and inferred functional profiles at the time of sampling: CM1 was pathogen-enriched, CM2 exhibited strong nitrogen-supportive metabolism, CM3 was dominated by fiber-degrading decomposers, and CM4 showed high methane-producing potential with environmental risk. Such findings underscore the raising of chickens as a potential source of harmful bacteria for the environment. It is important to note that this study represents a preliminary investigation with certain limitations, including the absence of biological replicates, lack of temporal sampling, and limited capacity to infer dynamic ecological interactions. Yet this metagenomic report is more about describing the taxonomy and functional potential of the bacteria, rather than discussing the actual ecological processes of these microorganisms in the environment. Future studies will be required to explore these aspects.},
}

Animals
Chickens/microbiology
*Manure/microbiology
*Wastewater/microbiology
*Metagenomics/methods
*Bacteria/genetics/classification/isolation & purification
Metagenome
Microbiota/genetics
Biodiversity

@article {pmid42123517,
year = {2026},
author = {Nguyen-DeMary, K and Vascellari, S and Mastinu, M and Melis, M and Bastiaanssen, TFS and Tomassini Barbarossa, I and Tepper, BJ},
title = {Cranberry Polyphenol Extract (CPE) Oral Rinse Improves Salivary Microbiome in 6-n-Propylthiouracil (PROP) Non-Tasters and Palatability of Aronia Juice.},
journal = {International journal of molecular sciences},
volume = {27},
number = {9},
pages = {},
pmid = {42123517},
issn = {1422-0067},
support = {10180//United States Department of Agriculture/ ; },
mesh = {Humans ; *Saliva/microbiology/drug effects ; Female ; Male ; *Vaccinium macrocarpon/chemistry ; *Polyphenols/pharmacology/administration & dosage/chemistry ; *Microbiota/drug effects ; Adult ; Propylthiouracil ; *Plant Extracts/pharmacology/chemistry/administration & dosage ; *Photinia/chemistry ; Taste/drug effects ; *Mouthwashes/pharmacology/chemistry ; *Fruit and Vegetable Juices ; Young Adult ; },
abstract = {Sensitivity to the bitterness of 6-n-propylthiouracil (PROP) is controlled by variations in the TAS2R38 gene. This phenotype is often used as a marker for individual differences in taste perception. Previous findings show that PROP taster status is associated with differences in the salivary microbiome. It is well known that diet and environmental factors influence the risk of oral disease, but there is far less evidence showing how genetic differences play a role. Forty-seven young, healthy, PROP taster-classified adults rinsed with a cranberry polyphenol extract (CPE) oral rinse (0.75 g/L CPE powder in spring water) twice daily for 11 days. Saliva was collected pre- and post-intervention for microbiome analysis using shotgun metagenomic sequencing. At the same time points, participants evaluated two astringent juices (cranberry and aronia berry) for key attributes. At baseline, PROP taster groups differed in their salivary microbiome compositions, but post-intervention, the groups had more similar bacterial compositions. Post-intervention, non-tasters showed decreases in the relative abundance of 15 bacterial species, including a significant reduction (p = 0.037) in Eikenella corrodens, which is one bacterium, among several others, involved in oral biofilm formation. Additionally, after the intervention, sourness was reduced, and overall liking increased significantly for aronia juice. Oral dysbiosis, a risk factor for oral disease, may be controlled by bactericidal mouthwashes. Our results suggest that CPE, a natural alternative to traditional bactericidal rinses, may selectively target pathobionts while preserving salivary microbiota diversity. CPE might also provide greater benefits to non-tasters, who are at greater risk for oral disease.},
}

Humans
*Saliva/microbiology/drug effects
Female
Male
*Vaccinium macrocarpon/chemistry
*Polyphenols/pharmacology/administration & dosage/chemistry
*Microbiota/drug effects
Adult
Propylthiouracil
*Plant Extracts/pharmacology/chemistry/administration & dosage
*Photinia/chemistry
Taste/drug effects
*Mouthwashes/pharmacology/chemistry
*Fruit and Vegetable Juices
Young Adult

@article {pmid42127820,
year = {2026},
author = {Bickel, S and Berg, G},
title = {Microbial diversity creates a global firewall against pathogens in soil.},
journal = {Cell host & microbe},
volume = {34},
number = {5},
pages = {817-819},
doi = {10.1016/j.chom.2026.04.016},
pmid = {42127820},
issn = {1934-6069},
mesh = {*Soil Microbiology ; Humans ; Metagenomics ; *Biodiversity ; *Bacteria/genetics/classification/isolation & purification ; Melioidosis/microbiology ; *Microbiota ; Tuberculosis/microbiology ; Soil ; Animals ; },
abstract = {Soil is a critical ecological contributor to plant and animal health. In this issue of Cell Host & Microbe, Xiong et al. use global metagenomic data to show that human pathogens linked to diseases like tuberculosis, melioidosis, and sepsis are widespread in humid and agricultural soils harboring reduced microbial diversity.},
}

*Soil Microbiology
Humans
Metagenomics
*Biodiversity
*Bacteria/genetics/classification/isolation & purification
Melioidosis/microbiology
*Microbiota
Tuberculosis/microbiology
Soil
Animals

@article {pmid42127824,
year = {2026},
author = {Bouzek, DC},
title = {What the nose knows of cystic fibrosis microbes and hypertonic saline.},
journal = {Cell host & microbe},
volume = {34},
number = {5},
pages = {827-829},
doi = {10.1016/j.chom.2026.04.017},
pmid = {42127824},
issn = {1934-6069},
mesh = {*Cystic Fibrosis/microbiology/drug therapy ; Humans ; Saline Solution, Hypertonic/pharmacology ; *Nasopharynx/microbiology ; *Microbiota ; Metagenomics ; Infant ; *Nose/microbiology ; },
abstract = {In this issue of Cell Host & Microbe, Steinberg et al.[1] present a microbial gene atlas of nasopharyngeal swabs in infants with cystic fibrosis and healthy controls using shotgun metagenomic sequencing. The impacts of clinical interventions on respiratory microbial function can be identified and experimentally validated using the atlas.},
}

*Cystic Fibrosis/microbiology/drug therapy
Humans
Saline Solution, Hypertonic/pharmacology
*Nasopharynx/microbiology
*Microbiota
Metagenomics
Infant
*Nose/microbiology

@article {pmid41816992,
year = {2026},
author = {Rao, B and Jiang, J and Zhang, R and Zhang, D and Zhang, C and Li, A and Lu, H and Zhang, H and Zhou, L and Guo, W and Wen, P and Xue, J and Pan, J and Aji, T and Lan, Z and Jiang, X and Zheng, S and Yu, Z and Ren, Z},
title = {Multicohort Validation of Gut Microbiome Signatures for Cholangiocarcinoma Diagnosis and Functional Characterization of Bifidobacterium Pseudocatenulatum.},
journal = {Advanced science (Weinheim, Baden-Wurttemberg, Germany)},
volume = {13},
number = {27},
pages = {e17658},
doi = {10.1002/advs.202517658},
pmid = {41816992},
issn = {2198-3844},
support = {82470654//National Natural Science Foundation of China/ ; 232300421124//Natural Science Foundation Key Project of Henan Province/ ; 24HASTIT063//University Science and Technology Innovation Talent Support Plan of Henan Province/ ; ZYYC202301ZD//Henan Zhongyuan Medical Science and Technology Innovation and Development Foundation/ ; 2022D01C219//Xinjiang Uygur Autonomous Region Natural Science Foundation/ ; JNL-2025007B//Research Project of Jinan Microecological Biomedicine Shandong Laboratory/ ; },
mesh = {Humans ; *Gastrointestinal Microbiome/physiology/genetics ; *Cholangiocarcinoma/diagnosis/microbiology ; Male ; Female ; *Bile Duct Neoplasms/diagnosis/microbiology ; Middle Aged ; Feces/microbiology ; *Bifidobacterium/genetics ; Aged ; China ; Dysbiosis/microbiology ; },
abstract = {Growing evidence suggests a role for the gut microbiome in progression of cholangiocarcinoma (CCA), however, its diagnostic and therapeutic potential remains incompletely characterized. Here, metagenomic sequencing was performed on fecal samples (n = 785) from individuals across East, Central, and Northwestern China. Gut microbial dysbiosis in CCA was characterized by depletion of short-chain fatty acids-producing species and enrichment of potential pathobionts (Klebsiella aerogenes, Clostridium symbiosum). Diagnostic models built using species-level markers demonstrated superior performance, compared to pathway-based models, achieving area under the curve (AUC) values of 98.63% and 99.42% in the discovery cohort, with robust cross-regional validation (AUC = 80.89% and 80.43%). The model effectively distinguished CCA from hepatocellular carcinoma (AUC = 97.86%) and liver fibrosis (AUC = 98.73%) and nonalcoholic fatty liver disease (mean AUC = 96.86%). Analysis of public datasets encompassing 6847 samples across 31 studies and 11 disease states revealed moderate disease specificity influenced by biomarker overlap across conditions. Mechanistically, depleted Bifidobacterium pseudocatenulatum suppressed CCA progression, associated with inhibition of the PI3K-AKT-mTOR pathway. Collectively, this study supports the potential of fecal metagenomic signatures as a complementary noninvasive aid for CCA detection, and provides functional evidence for a candidate protective microbe.},
}

Humans
*Gastrointestinal Microbiome/physiology/genetics
*Cholangiocarcinoma/diagnosis/microbiology
Male
Female
*Bile Duct Neoplasms/diagnosis/microbiology
Middle Aged
Feces/microbiology
*Bifidobacterium/genetics
Aged
China
Dysbiosis/microbiology

@article {pmid41888223,
year = {2026},
author = {Afshar Jahanshahi, D and Ariaeenejad, A and Hasannejad, A and Zabihi, MR and Ghaffari, MR and Ariaeenejad, S and Kavousi, K},
title = {MiGPC: a comprehensive catalog of enzybiotics from environmental metagenomes.},
journal = {Scientific reports},
volume = {16},
number = {1},
pages = {},
pmid = {41888223},
issn = {2045-2322},
support = {4020052//Center for International Scientific Studies & Collaborations (CISSC)/ ; },
mesh = {*Metagenome ; Metagenomics/methods ; Humans ; Microbiota/genetics ; *Bacterial Proteins/genetics ; },
abstract = {Antimicrobial agents play a vital role in human and environmental health, with applications spanning medicine, food preservation, agriculture, and biotechnology. Among them, enzybiotics enzyme-based antimicrobials have emerged as powerful alternatives to conventional antibiotics due to their targeted mechanisms and lower propensity for resistance. Beyond their medical relevance, enzybiotics have emerging applications in food preservation, animal health, and agriculture, thereby broadening their industrial and environmental value. To support the discovery and characterization of these versatile biomolecules, we present the first genome-resolved metagenomic gene and protein targeted enzybiotic catalog focused on enzybiotics, derived from diverse environmental microbiomes. The Microbial Enzybiotic Gene and Protein Catalog (MiGPC), integrates 15 whole-metagenome datasets from oceans, soils, fecal samples, vegetation, and plastic-contaminated environments, capturing a wide ecological spectrum. Enzybiotic sequences were compiled through a hybrid strategy combining public database mining and manual literature curation, yielding over 136,000 enzybiotic sequences, 7654 metagenome-assembled genomes (MAGs), and ~ 100 million unique genes and proteins. MiGPC integrates taxonomic and enzybiotic gene profiles, offering a robust platform for the discovery, annotation, and ecological mapping of antimicrobial enzymes. Functional analyses using KEGG and eggNOG revealed that approximately 62% of the genes remained uncharacterized, highlighting a rich source of potentially novel functions. Glycoside hydrolases and glycosyl transferases were the most prevalent CAZyme families, while the dominant enzybiotic-producing taxa belonged primarily to the Pseudomonadota and Bacillota phyla. Statistical modeling uncovered two major ecological clusters that distinguished polluted from relatively pristine environments. MiGPC enables high-throughput screening of previously unexplored metagenomes, facilitating the identification of novel antimicrobial agents from under characterized ecosystems. Overall, MiGPC represents a landmark resource that will support multi-omics research, microbial ecology, and the development of next-generation biotechnological solutions based on enzybiotics.},
}

*Metagenome
Metagenomics/methods
Humans
Microbiota/genetics
*Bacterial Proteins/genetics

@article {pmid41928361,
year = {2026},
author = {Heng, YC and Chua, JHX and Silvaraju, S and Fan, H and Low, A and Lim, ACH and Chen, B and Mane, L and Dagar, SS and Fliegerova, K and Moniello, G and Ikeda-Ohtsubo, W and Okuda, K and Seedorf, H and Lim, KJ and Kittelmann, S},
title = {Metagenomic insights into the global wild boar faecal microbiome reveal novel taxa and carbohydrate degraders distinguishing wild and domesticated Sus.},
journal = {Microbiome},
volume = {14},
number = {1},
pages = {},
pmid = {41928361},
issn = {2049-2618},
support = {Project number CRG/2022/008319//Anusandhan National Research Foundation (ANRF), DST, Government of India/ ; FDS2223MONIELLO - CUP J83C22000160007//Fondazione di Sardegna, Italy/ ; University Research Fund 2020//University of Sassari/ ; WIL@NUS Corporate Laboratory, Singapore//Wilmar International/ ; },
mesh = {Animals ; *Feces/microbiology ; *Gastrointestinal Microbiome/genetics ; Swine/microbiology ; *Sus scrofa/microbiology ; *Metagenomics/methods ; *Bacteria/classification/genetics/isolation & purification/metabolism ; Metagenome ; Diet ; Animal Feed ; Animals, Wild/microbiology ; },
abstract = {BACKGROUND: The inclusion of fibre in domestic pig diets is favourable from a digestive health, environmental, and socio-economic perspective. Unlike the highly optimized formulated diets of domestic pigs, wild boars feed opportunistically, consuming a broad range of foods that consist predominantly of plant materials. Consequently, the intestinal microbiota of wild boars is thought to be adapted to a versatile, fibre-rich diet and may represent a valuable source of probiotics for enhancing fibre degradation. However, comprehensive studies characterizing the wild boar gut microbiome, particularly its community structure and carbohydrate utilization potential, and comparison to that of domestic pigs are still lacking.

RESULTS: We collected 89 faecal samples from wild boars across four countries and analysed them primarily using metagenomic sequencing. De novo assembly yielded 3,288 high- and medium-quality metagenome-assembled genomes (MAGs) representing 968 distinct species, of which 538 were previously unknown. Incorporating these MAGs enabled robust microbiome comparisons with 125 previously published samples largely from domestic pigs, which revealed significant structural and functional differences. These differences resolved into two community types, determined not by host species but by diet and lifestyle: C1 comprising 81% of samples from free-ranging, foraging wild boars and C2 consisting of 93% of samples from captive, fed domestic pigs. The lower alpha-diversity observed in C1 likely reflected the impact of highly fluctuating dietary resources and environmental conditions, resulting in dominance of fewer resilient or adaptable taxa. Nevertheless, both community types maintained substantial carbohydrate utilization potential: while C2 exhibited a higher relative abundance of CAZyme[sub] genes associated with a broader range of carbohydrate substrate (CHO) classes, C1 was enriched in individual species that were generally richer in CAZyme[sub] genes and CHO classes. To leverage this potential, we curated a catalogue of carbohydrate degraders from both community types and identified 47 highly versatile species, with several novel species amongst them.

CONCLUSIONS: This study uncovered the previously untapped microbial diversity in the wild boar faecal microbiome and demonstrated that the faecal microbiome of Sus is primarily shaped by diet and lifestyle. The two community types identified, which differed both structurally and functionally, represent alternative states of microbiome homeostasis in wild versus domesticated Sus populations. The curated catalogue of carbohydrate degraders provides a valuable resource to guide tailored probiotic supplementation during dietary transitions to novel fibrous feedstocks. Video Abstract.},
}

Animals
*Feces/microbiology
*Gastrointestinal Microbiome/genetics
Swine/microbiology
*Sus scrofa/microbiology
*Metagenomics/methods
*Bacteria/classification/genetics/isolation & purification/metabolism
Metagenome
Diet
Animal Feed
Animals, Wild/microbiology

@article {pmid42013836,
year = {2026},
author = {Steinberg, R and Pust, MM and Arias-Rojas, A and Pishchany, G and Ramsey, KA and Kieninger, E and Moeller, A and Casaulta, C and Hilty, M and Latzin, P and , and , and Korten, I and Xavier, RJ},
title = {An infant nasal microbial gene atlas uncovers intervention-driven microbiome shifts and salt-resistant pathogen expansion.},
journal = {Cell host & microbe},
volume = {34},
number = {5},
pages = {925-941.e6},
doi = {10.1016/j.chom.2026.03.019},
pmid = {42013836},
issn = {1934-6069},
mesh = {Humans ; *Microbiota/genetics/drug effects ; Infant ; Haemophilus influenzae/genetics/drug effects/growth & development ; *Cystic Fibrosis/microbiology/therapy ; *Nose/microbiology ; Metagenomics ; Female ; Male ; Fungi/genetics/drug effects ; Anti-Bacterial Agents/pharmacology ; Bacteria/genetics/drug effects/classification ; },
abstract = {Functional studies of how early-life interventions shape the airway microbiome remain scarce. Here, we performed metagenomic sequencing of 704 longitudinal nasal swabs from infants with and without cystic fibrosis (CF) to construct and characterize a non-redundant gene atlas of the infant nasal microbiome. We aimed to determine how the nasal microbiome is perturbed by early therapies, as CF is commonly treated with inhaled hypertonic saline to improve mucociliary clearance. We found functional and compositional microbiome changes linked to inhalation therapy, including an expansion of salt-associated transporter genes and a community shift toward CF-associated microbial opportunists, including Haemophilus influenzae and fungi, carrying the identified salt-associated transporter genes with high sequence and structural identity. Hypertonic, compared with isotonic, saline accelerates H. influenzae growth and induces efflux pumps linked to antibiotic tolerance in vitro. This study establishes a reference framework for functional airway microbiome research, enabling the examination of therapeutic perturbations and their impact on microbial adaptation.},
}

Humans
*Microbiota/genetics/drug effects
Infant
Haemophilus influenzae/genetics/drug effects/growth & development
*Cystic Fibrosis/microbiology/therapy
*Nose/microbiology
Metagenomics
Female
Male
Fungi/genetics/drug effects
Anti-Bacterial Agents/pharmacology
Bacteria/genetics/drug effects/classification

@article {pmid42023843,
year = {2026},
author = {Olagoke, O and Zheng, X and Chung, S and Mengistie, HD and Asfaha, K and Read, TD and Dean, D},
title = {Phylogenetic diversity, functional pathways, and network interactions of ocular chlamydia-like organisms (CLOs) in trachoma-endemic Ethiopia.},
journal = {mBio},
volume = {17},
number = {5},
pages = {e0053426},
doi = {10.1128/mbio.00534-26},
pmid = {42023843},
issn = {2150-7511},
support = {R01 AI158527/AI/NIAID NIH HHS/United States ; R01 AI158527/AI/NIAID NIH HHS/United States ; },
mesh = {Humans ; Ethiopia/epidemiology ; *Trachoma/microbiology/epidemiology ; Male ; *Phylogeny ; Female ; RNA, Ribosomal, 16S/genetics ; Adult ; Middle Aged ; Microbiota ; Young Adult ; Adolescent ; Child ; Child, Preschool ; Aged ; Infant ; Metagenomics ; Chlamydia trachomatis/genetics ; },
abstract = {Trachoma is the leading infectious cause of blindness worldwide and classically attributed to Chlamydia trachomatis (Ct). However, other members of the phylum Chlamydiae, particularly environmental chlamydia-like organisms (CLOs), may modulate ocular ecology and influence disease outcomes. Here, we investigated CLO distribution, phylogeny, and microbiome associations among 1,059 individuals from trachoma-endemic communities in Ethiopia using targeted 16S rRNA sequencing and metagenomic shotgun sequencing. CLOs were detected in 249 (23.3%) participants of all ages and sexes and were significantly less likely to be associated with Ct or trachomatous scarring (TS) and trichiasis (TT). Phylogenetic analyses revealed extensive CLO diversity with six novel phylotypes, the most abundant of which was ancestral to Sorochlamydiaceae-a family linking pathogenic Chlamydiaceae, which includes the genus Chlamydia, and symbionts of protists. CLO-positive microbiomes exhibited significantly greater species richness and evenness with distinct differences in community composition relative to CLO-negative microbiomes. These effects were most pronounced among males and older adults. Functional profiling revealed widespread depletion of biosynthetic and metabolic pathways in CLO-positive microbiomes, particularly in participants with TS/TT, suggesting reduced community biosynthetic capacity and niche modification. Species interaction network analyses demonstrated substantial reorganization of microbial associations in the presence of CLOs with increased connectivity and centrality compared to CLO-negative networks. These findings identify CLOs as prevalent, phylogenetically diverse, and ecologically influential members of the microbiome. Their inverse association with Ct and TS/TT underscores the importance of considering intracellular symbionts beyond Ct in understanding conjunctival microbial ecology, resilience, and trachoma pathogenesis and for designing novel control strategies.IMPORTANCETrachoma caused by Chlamydia trachomatis (Ct) remains the leading infectious cause of blindness globally. While control efforts focus exclusively on Ct, other members of the phylum Chlamydiae, such as chlamydia-like organisms (CLOs), inhabit mucosal surfaces but remain understudied in the eye. Using targeted 16S rRNA and metagenomic shotgun sequencing of conjunctival samples from villagers in trachoma-endemic Ethiopia, CLOs were prevalent (23.3%; 249/1,059), phylogenetically diverse, including novel Chlamydiae phylotypes, and inversely associated with both Ct infection and severe scarring disease. CLO microbiomes had increased microbial diversity, altered community composition, depleted metabolic pathway abundance, and reorganized species interaction networks compared to CLO-negative microbiomes. These findings challenge the singular focus on Ct in trachoma control and research and suggest that CLOs represent ecologically significant members of the conjunctival microbiome. Further research on their interactions with ocular microbial communities could reveal new insights into trachoma pathogenesis and inform more holistic approaches to disease control.},
}

Humans
Ethiopia/epidemiology
*Trachoma/microbiology/epidemiology
Male
*Phylogeny
Female
RNA, Ribosomal, 16S/genetics
Adult
Middle Aged
Microbiota
Young Adult
Adolescent
Child
Child, Preschool
Aged
Infant
Metagenomics
Chlamydia trachomatis/genetics

@article {pmid42057740,
year = {2026},
author = {Wang, JL and Huang, SY and Chen, ZT and Zhou, Y and Kuzyakov, Y and Chen, JH and Ma, XM},
title = {Functional Resistance of Microbiome to Differently Charged Nanoplastics in Rhizosphere Hotspots Soil.},
journal = {Journal of agricultural and food chemistry},
volume = {74},
number = {18},
pages = {14335-14347},
doi = {10.1021/acs.jafc.5c17636},
pmid = {42057740},
issn = {1520-5118},
mesh = {Rhizosphere ; Soil Microbiology ; Zea mays/growth & development/microbiology/metabolism/drug effects ; *Microbiota/drug effects ; Bacteria/genetics/isolation & purification/drug effects/classification/metabolism ; Soil/chemistry ; *Soil Pollutants/chemistry/pharmacology/toxicity ; *Plastics/chemistry ; },
abstract = {Nanoplastics (NPs) pose greater soil ecological risks than microplastics due to their surface charge-dependent uptake, transport, and accumulation in plants. However, how differently charged NPs affect maize growth and microbial functional resistance in rhizosphere hotspots remains unclear. Here, we investigated the effect of positively (PS-NH2) and negatively (PS-SO3H) charged NPs on maize growth, enzyme activities and gene abundance, microbial resistance, and functional properties in acidic soil using soil zymography, 16S rRNA sequencing, and metagenomics. PS-NH2 showed stronger inhibitory effects on maize growth than PS-SO3H, mainly through reducing microbial diversity and weakening N and P cycling-related enzyme activities and resistance. Conversely, PS-SO3H maintained higher microbial resistance. Functional hotspots microbial species (particularly in Actinobacteria) alleviated NPs toxicity by accelerating N and P cycling to meet the demand for nutrients limiting maize growth. This study provides a mechanistic basis for assessing soil NPs risk with implications for agricultural sustainability and food safety.},
}

Rhizosphere
Soil Microbiology
Zea mays/growth & development/microbiology/metabolism/drug effects
*Microbiota/drug effects
Bacteria/genetics/isolation & purification/drug effects/classification/metabolism
Soil/chemistry
*Soil Pollutants/chemistry/pharmacology/toxicity
*Plastics/chemistry

@article {pmid42116470,
year = {2026},
author = {Wang, L and Zhu, N and Cai, F and Lin, X and Lai, C and Hu, H and Tao, Q and Song, J and Dai, W and Jia, X and Zhang, W},
title = {Fructooligosaccharides alleviate early-life antibiotic-exposed food allergy via the Indole-3-propionic acid-AhR-Nrf2 Axis: A multi-omics prospective cohort study.},
journal = {Food research international (Ottawa, Ont.)},
volume = {236},
number = {},
pages = {119200},
doi = {10.1016/j.foodres.2026.119200},
pmid = {42116470},
issn = {1873-7145},
mesh = {*NF-E2-Related Factor 2/metabolism ; Animals ; *Indoles/metabolism ; *Oligosaccharides/pharmacology ; Gastrointestinal Microbiome/drug effects ; Mice ; *Propionates/metabolism ; *Food Hypersensitivity/prevention & control/etiology/metabolism/drug therapy ; *Receptors, Aryl Hydrocarbon/metabolism ; *Anti-Bacterial Agents/adverse effects ; Humans ; Male ; Female ; Prospective Studies ; Dysbiosis/chemically induced ; Oxidative Stress/drug effects ; Multiomics ; },
abstract = {BACKGROUND: Gut microbiota is critical in food allergy (FA) development. While early-life antibiotics increase FA risk, the mechanism is unclear, and current treatments cannot correct underlying immune defects.

OBJECTIVE: To investigate how early-life antibiotics exacerbate FA and whether fructo-oligosaccharides (FOS) can restore gut-immune balance.

METHODS: We linked early-life antibiotic use to gut dysbiosis and metabolites in a birth cohor, modeled mechanisms and FOS intervention in antibiotic-exposed FA mice, and validated FOS efficacy in a pediatric trial.

RESULTS: Early-life antibiotics caused persistent gut dysbiosis (notably Lactobacillus depletion) and disrupted tryptophan metabolism, ultimately resulting in oxidative stress, barrier damage, and T-cell imbalance. FOS restored Lactobacillus and the tryptophan metabolite indole-3-propionic acid (IPA). IPA alleviates mitochondrial dysfunction and reactive oxygen species accumulation via activation of the aryl hydrocarbon receptor (AhR)-nuclear factor erythroid 2-related factor 2 (Nrf2)-heme oxygenase-1 (HO-1) antioxidant pathway, and enhances intestinal barrier integrity, ultimately rebalancing T-cell homeostasis and attenuating FA. In a pediatric trial, metagenomic sequencing revealed that FOS enriches both Lactobacillus johnsonii and Clostridium sporogenes, synergistically promoting IPA production-which correlates with reduced SCORAD scores and improved weight gain.

CONCLUSIONS: Early-life antibiotics cause lasting disruptions in gut microbiota and metabolism that worsen FA. FOS mitigates FA by boosting microbiota-derived IPA to activate the protective AhR-Nrf2-HO-1 pathway, highlighting its therapeutic potential for FA, particularly in patients with prior antibiotic exposure.},
}

*NF-E2-Related Factor 2/metabolism
Animals
*Indoles/metabolism
*Oligosaccharides/pharmacology
Gastrointestinal Microbiome/drug effects
Mice
*Propionates/metabolism
*Food Hypersensitivity/prevention & control/etiology/metabolism/drug therapy
*Receptors, Aryl Hydrocarbon/metabolism
*Anti-Bacterial Agents/adverse effects
Humans
Male
Female
Prospective Studies
Dysbiosis/chemically induced
Oxidative Stress/drug effects
Multiomics

@article {pmid42116511,
year = {2026},
author = {Xu, H and Kong, W and Tang, Q and Fan, K and Liu, M and Mo, K and Xu, Z and Zhang, W},
title = {Analysis of microbiome succession and metabolome dynamics in Jiupei during Chinese strong-flavor Baijiu fermentation.},
journal = {Food research international (Ottawa, Ont.)},
volume = {236},
number = {},
pages = {119274},
doi = {10.1016/j.foodres.2026.119274},
pmid = {42116511},
issn = {1873-7145},
mesh = {*Fermentation ; *Microbiota ; *Metabolome ; Food Microbiology ; Taste ; Volatile Organic Compounds/analysis ; Bacteria/metabolism/classification/genetics ; *Wine/microbiology/analysis ; Fungi/metabolism/classification ; Metabolomics ; Flavoring Agents ; China ; },
abstract = {Microbial successions during Jiupei fermentation are critical for the flavor synthesis of strong-flavor Baijiu, but their dynamics and associated metabolites across different vertical Jiupei layers have not yet been characterized in detail. This study employed metagenomic sequencing combined with metabolomic techniques to investigate the complex relationship between microbial succession and metabolite formation in Jiupei of strong-favor Baijiu fermentation. Results demonstrated that a total of 2940 compounds were identified and classified into 13 classes; of which over 94.7% of amino acids and derivatives, 57.5% of organic acids, and certain sugar alcohols increased during fermentation, whereas more than 81.8% of flavonoids decreased, particularly in the lower Jiupei layer. The volatile compounds, including ethyl caproate and ethyl lactate, showed a significant increase. Meanwhile, microbial diversity and richness dropped sharply from day 0 to day 30, with a recovery by day 60 in the middle and lower layers. The early stage of fermentation is characterized by the fungi Paecilomyces variotii, Lichtheimia ramosa, Rhizopus arrhizus, and Aspergillus chevalieri, as well as the bacteria Saccharopolyspora rectivirgula, Lactiplantibacillus plantarum, Leuconostoc citreum, and Weissella confusa, which secrete amylases and glycosylases to hydrolyze starch into sugars via enrichment of carbohydrate-related pathways, such as starch and sucrose metabolism, glycolysis/gluconeogenesis, and fructose and mannose metabolism. Acetilactobacillus jinshanensis, Lentilactobacillus diolivorans, and Philodulcilactobacillus myokoensis sharply increased in the later stage of fermentation, alongside enriched pathways for fatty acid and secondary metabolite biosynthesis. Acetilactobacillus jinshanensis ‌might synergistically accumulate characteristic flavor compounds through transferase and ligase reactions. These findings reveal the stage-specific microbial metabolic characteristics and synergistic mechanisms in flavor formation, providing a scientific basis for optimizing Baijiu fermentation processes to enhance Baijiu quality.},
}

*Fermentation
*Microbiota
*Metabolome
Food Microbiology
Taste
Volatile Organic Compounds/analysis
Bacteria/metabolism/classification/genetics
*Wine/microbiology/analysis
Fungi/metabolism/classification
Metabolomics
Flavoring Agents
China

@article {pmid42118429,
year = {2026},
author = {Tekin, B and Gurbanov, R},
title = {Taxonomic and functional remodeling of the gut microbiota during aging and implications for microbiota-derived biomarkers.},
journal = {World journal of microbiology & biotechnology},
volume = {42},
number = {6},
pages = {},
pmid = {42118429},
issn = {1573-0972},
mesh = {*Gastrointestinal Microbiome/physiology ; Humans ; *Aging/physiology ; Biomarkers/analysis ; *Bacteria/classification/genetics/metabolism/isolation & purification ; Animals ; Host Microbial Interactions ; Fatty Acids, Volatile/metabolism ; },
abstract = {The gut microbiota represents a complex microbial ecosystem that contributes to host metabolic regulation, immune homeostasis, and intestinal barrier function. Across the lifespan, gut microbial communities exhibit marked taxonomic and functional variation driven by environmental exposures, dietary patterns, medication use, and age-associated immune alterations. These differences are closely linked to chronic inflammatory states and immune dysregulation that accompany aging. This review synthesizes current evidence on age-associated differences in gut microbiota composition and functional capacity, with a focus on microbial traits and metabolic pathways relevant to host-microbe interactions. Pathological aging is frequently associated with reduced microbial diversity, loss of short-chain fatty acid-producing commensal bacteria, and enrichment of opportunistic or pro-inflammatory taxa. In contrast, healthy aging and longevity are commonly associated with more stable, resilient, and metabolically adaptable microbial communities. At the functional level, recurrent alterations in short-chain fatty acid biosynthesis, bile acid transformation, and tryptophan- and choline-related metabolic pathways define conserved features across aging-associated microbial profiles. Across neurodegenerative, metabolic, and cardiovascular conditions, overlapping taxonomic and functional patterns indicate shared microbiota-associated signatures linked to inflammatory states. Advances in metagenomic sequencing, functional annotation, and microbiome-focused biotechnological approaches now enable integrated analysis of microbial structure and metabolic potential. These developments provide a robust framework for identifying reproducible microbiome-based indicators relevant to aging-associated physiological changes and for translating microbiome research into biotechnology-driven applications.},
}

*Gastrointestinal Microbiome/physiology
Humans
*Aging/physiology
Biomarkers/analysis
*Bacteria/classification/genetics/metabolism/isolation & purification
Animals
Host Microbial Interactions
Fatty Acids, Volatile/metabolism

@article {pmid42119293,
year = {2026},
author = {Li, H and Xu, Y and Lin, T and Hu, C and Yang, Z and Su, H},
title = {Overwintering waterbirds are important reservoirs for the spread of antibiotic resistance genes (ARGs): Shared patterns at the waterbird-environment interface and the risk of horizontal transfer.},
journal = {Journal of hazardous materials},
volume = {512},
number = {},
pages = {142298},
doi = {10.1016/j.jhazmat.2026.142298},
pmid = {42119293},
issn = {1873-3336},
abstract = {The global spread of antibiotic resistance genes (ARGs) has become a critical challenge to public health. Long-distance migratory waterbirds are recognized as important biological vectors in the transregional spread of ARGs. However, the sharing patterns of ARGs and the horizontal transfer risks between these birds and their habitats during the wintering period remain poorly understood. This limits a comprehensive understanding of their role in ARG transmission. This study investigated a typical wintering wetland in southwestern China along the East Asian-Australasian Flyway, using metagenomic approaches to systematically characterize the distribution patterns, sharing profiles, and horizontal transfer risks of ARGs in the guts of overwintering waterbirds and their associated aquatic and terrestrial habitats. The results show that multidrug resistance genes are the predominant type of resistance observed both in the guts of overwintering waterbirds and in their habitats. Extensive sharing of ARGs occurs between the guts of overwintering waterbirds and their habitats, with approximately 50% of the 1250 identified ARG subtypes shared by both. We detected 55 high-risk ARG subtypes belonging to 10 resistance categories. Among these, β-lactam resistance genes (e.g., blaNDM-5 and blaCTX-M-15) were the predominant types. In addition, the co-localization of ARGs with mobile genetic elements (MGEs) (e.g., transposons and plasmids) suggests that the gut of waterbirds and aquatic environments may represent potential hotspots for horizontal transfer of ARGs. This study highlights the high connectivity of ARGs between overwintering waterbirds and their habitats, offering important insights into ecological and public health risks related to ARG spread.},
}

@article {pmid42119482,
year = {2026},
author = {Paula, MPO and Varani, AM and da Silva, VLC and Roesch, LFW and Tótola, MR and Ramos, AC and Pylro, VS},
title = {Genome-resolved characterization of microbial consortia driving glyphosate degradation in soil.},
journal = {Chemosphere},
volume = {405},
number = {},
pages = {144948},
doi = {10.1016/j.chemosphere.2026.144948},
pmid = {42119482},
issn = {1879-1298},
abstract = {Glyphosate is a widely used non-selective herbicide associated with ecological and human health concerns due to its environmental persistence, highlighting the need for effective remediation strategies. Among available approaches, microbial enzyme-mediated degradation represents a promising biological solution. This study aimed to enrich and characterize glyphosate-degrading microbial consortia from coffee plantation soils, validate glyphosate and aminomethylphosphonic acid (AMPA) degradation by chromatographic analyses, and integrate genome-based functional annotation with comparative structural analyses to investigate enzymatic systems involved in C-P and C-N bond cleavage. The enrichment process, followed by metataxonomic and metagenomic analyses, revealed dynamic shifts in microbial community composition. Achromobacter and Serratia were identified as key genera, harboring genetic potential for glyphosate and AMPA degradation. High-performance liquid chromatography with diode array detection confirmed efficient transformation of both compounds, with consortia Con_CC and Con_CC-G achieving the highest removal efficiencies under carbon- and phosphorus-limited conditions. Genome-based functional annotation showed that both genera encode gene clusters associated with the C-P lyase pathway, while only Achromobacter harbors the gene encoding glyphosate oxidoreductase (GOX), linked to oxidative C-N bond cleavage. Structural modeling indicated conservation of key catalytic residues in PhnJ, whereas GOX-related sequences in Serratia corresponded to partial homologs lacking a complete catalytic site. By integrating chromatographic, genomic, and structural analyses, this study provides a multi-level framework linking microbial community dynamics, functional potential, and molecular mechanisms underlying glyphosate degradation.},
}

@article {pmid42120383,
year = {2026},
author = {Tingley, JP and Andersen, TO and Mihalynuk, LG and Xing, X and Low, KE and Whiteside, DP and Altshuler, I and Jujihara, N and Shearer, AY and Klassen, L and Serin, S and Smith, E and Reintjes, G and Patel, TR and Boraston, AB and Hagen, LH and Pope, PB and Abbott, DW},
title = {Distribution of microbial carrageenan foraging pathways reveals a widespread latent trait within the ruminant intestinal microbiome.},
journal = {Nature communications},
volume = {17},
number = {1},
pages = {},
pmid = {42120383},
issn = {2041-1723},
support = {J-002817; J-003135//Gouvernement du Canada | Agriculture and Agri-Food Canada (Agriculture et Agroalimentaire Canada)/ ; },
mesh = {Animals ; *Gastrointestinal Microbiome/genetics/physiology ; *Carrageenan/metabolism ; *Ruminants/microbiology ; Rumen/microbiology ; Glycoside Hydrolases/metabolism/genetics ; Feces/microbiology ; Bacteria/metabolism/genetics/classification/isolation & purification ; Seaweed/metabolism ; Bacteroides/metabolism/genetics/isolation & purification ; Metagenomics ; Phylogeny ; },
abstract = {Seaweeds represent a promising source of sustainable, alternative feeds for livestock. Despite their increasing popularity in agriculture, the dietary fate of seaweed polysaccharides, such as carrageenan, is unknown. Here, we apply functional microbiome analyses of ruminant gastrointestinal tract microbiomes to discover catabolic enzymes specific for carrageenan digestion from the red seaweed Mazzaella japonica. M. japonica preferentially increased Bacteroides abundance within the feces over the rumen, and bacterial isolates have the capacity to use carrageenans as a sole carbon source. We identify carrageenan-active polysaccharide utilization loci (CarPULs) and characterize recombinant GH16 subfamily 17 carrageenases, informing previously uncharacterized substrate specificities for the subfamily, and providing insights into pathway specialization of divergent CarPULs. Selective enrichment and metagenomic mining reveals that carrageenan catabolism is widespread among geographically and taxonomically distinct ruminants, suggesting it is a latent trait widely distributed in the Order Artiodactyla and carried within their microbiomes as part of the microbial "dark matter". These pathways are structurally distinct from those found in marine bacteria, highlighting a complex and ancient evolutionary history of CarPULs in ruminant microbiomes.},
}

Animals
*Gastrointestinal Microbiome/genetics/physiology
*Carrageenan/metabolism
*Ruminants/microbiology
Rumen/microbiology
Glycoside Hydrolases/metabolism/genetics
Feces/microbiology
Bacteria/metabolism/genetics/classification/isolation & purification
Seaweed/metabolism
Bacteroides/metabolism/genetics/isolation & purification
Metagenomics
Phylogeny

@article {pmid40265464,
year = {2026},
author = {Yan, X and Xie, F and Yang, S and Sun, Y and Lei, Y and Ren, Q and Si, H and Li, Z and Qiu, Q},
title = {Metagenomic Insights into the Rumen Microbiome in Solid and Liquid Fractions of Yaks and Their Differences Compared to Other Ruminants.},
journal = {Integrative zoology},
volume = {21},
number = {3},
pages = {667-683},
doi = {10.1111/1749-4877.12984},
pmid = {40265464},
issn = {1749-4877},
support = {32225009//National Natural Science Foundation of China/ ; 32122083//National Natural Science Foundation of China/ ; 32402780//National Natural Science Foundation of China/ ; XDA26040301//Strategic Priority Research Program of the Chinese Academy of Sciences/ ; },
mesh = {Animals ; Cattle/microbiology ; *Rumen/microbiology ; *Gastrointestinal Microbiome ; Metagenomics ; *Bacteria/classification/genetics ; *Metagenome ; },
abstract = {The rumen microbiome plays a critical role in nutrient metabolism and adaptation of the yak (Bos grunniens), an import livestock animal of the Qinghai-Tibet Plateau renowned for their superior plant fiber degradation capacity. However, the microbiome among the different ecological niches within yak's rumen remains unelucidated. Through shotgun sequencing of rumen solid and liquid fractions from five yaks, we identified significant differences in the microbial communities and their genetic functions between the solid and liquid fractions. Solid fractions exhibited dominance by Ruminococcus, Succiniclasticum, and Aspergillus, while Prevotella, Paludibacter, Parabacteroides, and Bacteroides prevailed in liquid fractions. Comparative CAZyme profiling revealed solid fractions were significantly enriched in cellulose/hemicellulose-targeting enzymes (GH5, GH11, and CBM63), implicating their specialization in breaking down the fibrous grasses. In contrast, liquid fractions showed higher abundances of starch-degrading enzymes (GH13, CBM48) and host-glycan utilizers (GH92), suggesting roles in soluble nutrient extraction and host-microbe interactions. Comparative analysis of 574 metagenome-assembled genomes suggested that Methanomethylophilaceae_UBA71 and nitrate-respiring Ruminococcaceae_Firm-04 preferentially colonized in the solids, whereas propionate-producing Quinella and animal glycan-degrading Bacteroides were more prevalent in the liquids. Moreover, compared to Hu sheep, yak's rumen microbiome showed significantly enhanced utilization of plant polysaccharide capacity. Comparative analysis across 10 ruminant species further highlighted host phylogeny as a key driver of rumen microbiome variation. These findings advance our understanding of niche differentiation and functional specialization within the unique yak rumen ecosystem.},
}

Animals
Cattle/microbiology
*Rumen/microbiology
*Gastrointestinal Microbiome
Metagenomics
*Bacteria/classification/genetics
*Metagenome

@article {pmid41494802,
year = {2026},
author = {Mayorga, L and Noguera Segura, A and Campderros, L and Pons-Tarin, M and Soler, Z and Vega-Abellaneda, S and Serrano-Gomez, G and Herrera-deGuise, C and Robles-Alonso, V and Borruel, N and Manichanh, C},
title = {Distinct microbial mediators link diet to inflammation in Crohn's disease and ulcerative colitis.},
journal = {Gut},
volume = {75},
number = {6},
pages = {1136-1146},
doi = {10.1136/gutjnl-2025-337480},
pmid = {41494802},
issn = {1468-3288},
mesh = {Humans ; *Colitis, Ulcerative/microbiology ; *Crohn Disease/microbiology ; Female ; Male ; *Gastrointestinal Microbiome/physiology ; Adult ; Longitudinal Studies ; Middle Aged ; *Diet/adverse effects ; Inflammation/microbiology ; Diet, Mediterranean ; Case-Control Studies ; Feces/microbiology ; },
abstract = {BACKGROUND: Inflammatory bowel disease (IBD) arises from complex interactions among diet, host and gut microbiome. Although diet influences intestinal inflammation, the microbial and metabolic pathways involved, and their differences between Crohn's disease (CD) and ulcerative colitis (UC), the two main subtypes of IBD remain unclear.

OBJECTIVE: To investigate how the gut microbiome mediates the effects of habitual diet on inflammatory activity in IBD.

DESIGN: This longitudinal study included 198 adults (100 healthy controls, 49 CD, 49 UC), participants completed a validated food frequency questionnaire. Dietary quality was evaluated using established indices (Alternative Mediterranean Diet, Healthy Eating Index-2015, Índice de Alimentación Saludable, Mean Adequacy Ratio, Plant-Based Dietary Indexes, Healthy Food Diversity). Participants also provided two stool samples (baseline and 6 months). Shotgun metagenomics (n=366) enabled taxonomic and functional profiling. Causal mediation analyses were used to identify microbial features mediating the effect of diet on inflammation.

RESULTS: IBD patients exhibited lower dietary diversity, fibre intake and nutritional adequacy compared with controls. Microbiome diversity was lowest in CD, intermediate in UC and correlated positively with higher intake of fibre, fruit, vegetables and nuts, and negative with processed foods and sugary beverages. Causal mediation analyses revealed that in CD, coffee, whole wheat bread and healthier diets lowered the Harvey-Bradshaw index through specific bacterial species and metabolites. In UC, Mediterranean-like diets, fruits and coffee reduced C reactive protein via greater microbial richness, reduced dysbiosis and short-chain fatty acid-related functions.

CONCLUSION: Diet quality influences inflammation in IBD through distinct microbiome pathways: specific taxa and metabolites mediate effects in CD, whereas microbial richness and global composition drive protection in UC.},
}

Humans
*Colitis, Ulcerative/microbiology
*Crohn Disease/microbiology
Female
Male
*Gastrointestinal Microbiome/physiology
Adult
Longitudinal Studies
Middle Aged
*Diet/adverse effects
Inflammation/microbiology
Diet, Mediterranean
Case-Control Studies
Feces/microbiology

@article {pmid41794383,
year = {2026},
author = {Wannaiampikul, S and Lee, B and Chen, J and Prentice, KJ and Ayansola, R and Xu, A and Santosa, S and Pantopoulos, K and Sweeney, G},
title = {Integrated metabolomics and metagenomics analysis identifies a unique signature characterizing metabolic syndrome.},
journal = {The Journal of nutritional biochemistry},
volume = {154},
number = {},
pages = {110327},
doi = {10.1016/j.jnutbio.2026.110327},
pmid = {41794383},
issn = {1873-4847},
mesh = {Humans ; *Metabolic Syndrome/microbiology/metabolism/blood ; Male ; *Metabolomics/methods ; Female ; Middle Aged ; *Metagenomics/methods ; *Gastrointestinal Microbiome ; Adult ; Feces/microbiology ; Aged ; Dopamine/analogs & derivatives/blood ; },
abstract = {Metabolic Syndrome (MetS) presents a global health challenge, characterized by obesity, hypertension, dyslipidemia, and insulin resistance. Despite recognition of the gut microbiome's role in metabolic health, there remains an opportunity for defining association of unique microbes with clinical status. Unique genetic, dietary, and lifestyle factors may influence gut microbial composition and circulating metabolites, and consequently susceptibility to MetS. By identifying specific microbial and metabolomic signatures associated with MetS, we aim to uncover potential targets for reducing the disease burden. We correlate comprehensive clinical parameters with fecal metagenomics and untargeted serum metabolomics to delineate population-specific characteristics from 142 individuals with MetS (N=97) or control (CTRL; N=45). Microbiome species-level alpha diversity was reduced in MetS compared to CTRL. After adjustment for sex, age, BMI, and intensity of statin usage, we identified 20 MetS-related species. A co-abundant network analysis revealed Eubacterium eligens, enriched in the CTRL population, with the highest node degree. Serum metabolomics identified 106 significantly differentially regulated metabolites. N-arachidonoyl dopamine (NADA), an endocannabinoid implicated in GABAergic signaling, was the most significantly altered, enriched in CTRL and correlated with E. eligens. sPLS-DA modeling revealed that E. eligens and D. formicigenerans species cluster together with metabolites NADA and tetrahydrocorticosterone (THB), representing defining characteristics distinguishing MetS in this population. Our data reveal a distinct multi-omic signature of MetS, characterized by a significant reduction in E. eligens and D. formicigenerans abundance, and in circulating NADA and THB levels.},
}

Humans
*Metabolic Syndrome/microbiology/metabolism/blood
Male
*Metabolomics/methods
Female
Middle Aged
*Metagenomics/methods
*Gastrointestinal Microbiome
Adult
Feces/microbiology
Aged
Dopamine/analogs & derivatives/blood

@article {pmid41861946,
year = {2026},
author = {Wang, ST and Li, L and Yang, Q and Zhang, GF},
title = {Artificial reef age reshapes benthic microbial communities and modulates the genetic potential for nitrogen and sulfur cycling.},
journal = {Environmental research},
volume = {299},
number = {},
pages = {124314},
doi = {10.1016/j.envres.2026.124314},
pmid = {41861946},
issn = {1096-0953},
mesh = {*Sulfur/metabolism ; *Microbiota ; *Coral Reefs ; Nitrogen/metabolism ; Archaea/genetics ; *Nitrogen Cycle ; China ; Bacteria/genetics/metabolism ; Seawater/microbiology ; },
abstract = {Artificial reefs (ARs) are widely used to restore coastal ecosystems; however, the impact of reef age on microbial communities and their biogeochemical functions remains unknown. This study integrated metagenomic sequencing with physicochemical analysis to examine successional changes in benthic nitrogen and sulfur cycling along a chronosequence spanning from non-artificial reefs (0 years) to 14-year-old ARs in the coastal waters of the Bohai Sea, China. Our analysis revealed a systematic, time-dependent reorganization of the benthic microbiome, characterized by significant enrichment of ammonia-oxidizing archaea (Nitrososphaerota) and bacteria (Nitrospirota) in reefs older than 6 years. Conversely, taxa involved in coupled nitrate reduction and sulfur oxidation (Sulfurovum) declined significantly. Functionally, this led to a shift in genetic potential: the abundance of nitrification genes (amoB and amoC) increased, while genes associated with dissimilatory nitrate reduction (nirB and nrfA), denitrification (nosZ and napB), thiosulfate reduction (phsC and ttrB), and sulfur oxidation (sqr and sox) decreased. Genome-resolved analysis further demonstrated that these functional shifts were driven by the proliferation of nitrifiers and concurrent decline of versatile bacterial lineages. Importantly, this genomic shift was corroborated by geochemical observations of decreased ammonium and increased nitrate concentrations in both bottom seawater and sediments of ARs compared to non-artificial reefs. These results indicate that reef age reshapes benthic microbial communities and functions, favoring aerobic nitrification over anaerobic or microaerophilic nitrate reduction and sulfur metabolism. This study provides a scientific basis for AR adaptive management, underscoring the necessity of integrating microbial functional metrics into the long-term impact assessment of marine infrastructures.},
}

*Sulfur/metabolism
*Microbiota
*Coral Reefs
Nitrogen/metabolism
Archaea/genetics
*Nitrogen Cycle
China
Bacteria/genetics/metabolism
Seawater/microbiology

@article {pmid41882035,
year = {2026},
author = {Kumar, M and Ansari, WA and Singh, A and Kumar, SC and Zeyad, MT and Chakdar, H and Farooqi, MS and Sharma, A and Srivastava, S and Jha, GK and Srivastava, AK},
title = {Impact of genotype and soil fertility on wheat rhizosphere microbiota under the trans-gangetic plain.},
journal = {Scientific reports},
volume = {16},
number = {1},
pages = {},
pmid = {41882035},
issn = {2045-2322},
support = {2020//Centre for Agricultural Bioinformatics/ ; },
mesh = {*Triticum/microbiology/genetics/growth & development ; *Rhizosphere ; *Soil Microbiology ; Genotype ; *Microbiota/genetics ; *Soil/chemistry ; RNA, Ribosomal, 16S/genetics ; Bacteria/genetics/classification ; India ; Phylogeny ; },
abstract = {The effects of genotypes (HD3086 and PBW343) and soil physicochemical properties on the wheat rhizospheric bacterial communities along the trans Indo-Gangetic plains were studied. The trans-Indo-Gangetic Plains of India are one of the areas in the country where wheat is grown the most. Despite the agricultural significance of this region, extensive studies on the rhizosphere microbial abundance and community structure related to wheat cultivation in this area are still lacking. To address this knowledge gap, the present study was undertaken to characterize the rhizosphere microbiome using full-length 16 S rRNA-based metagenomic profiling, implementing universal primers, tailed with PacBio Sequel II barcode sequences, providing new insights into microbial dynamics across this major wheat-producing landscape. Statistical analysis revealed significant differences in both abundance and diversity among the different soil samples and wheat genotypes. Four phyla exhibited significant differences in relative abundance between the genotypes (p < 0.05): Proteobacteria (p = 0.002), Planctomycetes (p = 0.000), Verrucomicrobia (p = 0.000), and Firmicutes (p = 0.030). The number of genera identified in genotype HD3086 across all locations was 421, while it was 322 for genotype PBW343. There were 251 genera found common, with 170 genera exclusively present in HD3086 and 71 in PBW343. Significant differences were observed in the relative abundance of eighteen genera (p < 0.05) between the genotypes; some of them include Luteolibacter, Gemmata, Pseudomonas, Stenotrophobacter, Pseudarthrobacter, Devosia, Lacibacter, Gaiella, Luteimonas, and Nitrosospira. Correlation analysis indicated significant associations between microbial diversity and soil parameters like pH, total and available nitrogen, potassium, phosphorus, iron, and organic carbon for both varieties. Core taxa analysis revealed 27 core taxa across both genotypes. The study highlights significant genotype effects on rhizosphere microbiomes, with implications for soil health and crop management strategies.},
}

*Triticum/microbiology/genetics/growth & development
*Rhizosphere
*Soil Microbiology
Genotype
*Microbiota/genetics
*Soil/chemistry
RNA, Ribosomal, 16S/genetics
Bacteria/genetics/classification
India
Phylogeny

@article {pmid41905742,
year = {2026},
author = {Wu, Z and Duan, A and Liu, Y and Chen, R and Md Din, MF and Sanjaya, EH and Ali, EAE and Saad, A and Liu, Z and Chen, H},
title = {Mechanistic insights into sulfate-driven performance adaptation and membrane fouling in a UASB-SBR-AXMBR system: metabolic network reconstruction and microbial community succession.},
journal = {Environmental research},
volume = {299},
number = {},
pages = {124374},
doi = {10.1016/j.envres.2026.124374},
pmid = {41905742},
issn = {1096-0953},
mesh = {*Bioreactors/microbiology ; *Sulfates/metabolism ; *Waste Disposal, Fluid/methods ; Membranes, Artificial ; Metabolic Networks and Pathways ; Wastewater ; Nitrogen/metabolism ; *Microbiota ; Bacteria ; },
abstract = {Sulfate-rich wastewater poses considerable challenges to the operational stability of biological treatment systems. This study investigated the long-term (294 days) response of a combined UASB-SBR-AXMBR process to stepwise increases in sulfate concentration from 100 to 2000 mg/L. The system maintained stable carbon and nitrogen removal performance under sulfate stress, with COD removal exceeding 90.3% and total nitrogen removal stabilizing at 85.5% via a partial nitritation-anammox (PN/A) pathway. However, high sulfate loading significantly intensified membrane fouling, with the primary driving factor likely being the co-deposition of elemental sulfur (S[0]) and soluble extracellular polymeric substances (S-EPS). Microbial analysis revealed persistent enrichment of Bacteroidota and Proteobacteria in the SBR, alongside a marked increase in Anammoxoglobus (from 17.1% to 51.2%) in the Anaerobic Ammonia Oxidation Membrane Bioreactor (AXMBR), underpinning system resilience. Metagenomic profiling further indicated adaptive shifts in key nitrogen-cycling genes (hao, amoA) and sulfur metabolism pathways. Notably, sulfate-reducing bacteria (SRB) outcompeted methanogens, redirecting carbon flow from methanogenesis to sulfur reduction, while niche diversification in the AXMBR expanded nitrogen removal pathways. These findings provide new mechanistic insights into the adaptive responses of integrated bioprocesses under sulfate stress and provide practical guidance for the treatment of high-sulfate industrial wastewaters such as monosodium glutamate effluent.},
}

*Bioreactors/microbiology
*Sulfates/metabolism
*Waste Disposal, Fluid/methods
Membranes, Artificial
Metabolic Networks and Pathways
Wastewater
Nitrogen/metabolism
*Microbiota
Bacteria

@article {pmid41950533,
year = {2026},
author = {Cai, X and Yao, Y and Zheng, Y and Zhao, X},
title = {Multi-omics gut microbiome signatures for treat-to-target management in inflammatory bowel disease.},
journal = {Microbiological research},
volume = {309},
number = {},
pages = {128511},
doi = {10.1016/j.micres.2026.128511},
pmid = {41950533},
issn = {1618-0623},
mesh = {Humans ; *Inflammatory Bowel Diseases/microbiology/therapy/drug therapy/diagnosis ; *Gastrointestinal Microbiome/genetics ; Dysbiosis/microbiology ; Metabolomics/methods ; Metagenomics/methods ; Feces/microbiology ; Proteomics/methods ; Drug Monitoring/methods ; Multiomics ; },
abstract = {Inflammatory bowel disease (IBD) care now relies on an expanding portfolio of biologics and small molecules, yet symptom-driven phenotyping often misses molecular endotypes, contributing to primary non-response and loss of response. This review examines how gut microbiota-centered multi-omics can be translated into decision support within treat-to-target (T2T) management and therapeutic drug monitoring (TDM). We synthesize evidence from stool and mucosal metagenomics/metatranscriptomics, virome and bacteriophage signals, metabolomics, blood proteomics, and host transcriptomic/epigenomic and genetic layers, emphasizing analytical validity, external validation, calibration, and action-linked thresholds. Longitudinal data indicate that IBD-associated dysbiosis is predominantly functional and time-varying, enabling applications in diagnosis, prognosis, therapy-response prediction, and monitoring of inflammatory burden and remission depth. However, many reported predictors show limited transportability due to pre-analytical variation, batch effects, endpoint heterogeneity, and confounding by diet, antibiotics, and prior therapies. We propose a pragmatic, tiered workflow: deploy minimal, interpretable signatures at baseline and early induction, and interpret outputs alongside fecal calprotectin/CRP, endoscopy or imaging when indicated, and drug exposure/anti-drug antibodies to distinguish underexposure and immunogenicity from true mechanistic non-response, guiding dose optimization versus mechanism switching. Digital/remote monitoring can operationalize iterative reassessment while reserving deeper omics for decision-critical checkpoints. Overall, the microbiome is best framed as an actionable layer within a multi-signal IBD management system rather than a standalone biomarker; translation will depend on standardization, workflow integration, prospective validation, and demonstrated clinical and economic value.},
}

Humans
*Inflammatory Bowel Diseases/microbiology/therapy/drug therapy/diagnosis
*Gastrointestinal Microbiome/genetics
Dysbiosis/microbiology
Metabolomics/methods
Metagenomics/methods
Feces/microbiology
Proteomics/methods
Drug Monitoring/methods
Multiomics

@article {pmid41968748,
year = {2026},
author = {Hilpert, K},
title = {Peptidomics: A New Dimension in Microbiome Research.},
journal = {Protein and peptide letters},
volume = {33},
number = {2},
pages = {488-496},
doi = {10.2174/0109298665436241260327111926},
pmid = {41968748},
issn = {1875-5305},
mesh = {Humans ; *Proteomics/methods ; *Gastrointestinal Microbiome ; *Peptides/metabolism ; Metabolomics/methods ; *Microbiota ; },
abstract = {The human gut microbiome is now recognised as a major determinant of health, with roles extending beyond digestion to influence neurodegeneration, metabolism, immunity, and pharmacological responses. Clinical studies link microbial imbalances to Alzheimer's disease, Parkinson's disease, depression, and cardiovascular disorders, yet the underlying mechanisms remain only partly understood. Methodological advances have progressively deepened our insight. DNA-based sequencing (metagenomics) catalogues microbial genes but reveals only potential functions. RNA-based sequencing (metatranscriptomics) highlights active gene expression, but instability of transcripts and poor correlation with protein activity limit its predictive value. Metabolomics measures small-molecule end products, providing direct evidence of microbial biochemistry and identifying disease-linked metabolites such as urolithin A, trimethylamine N-oxide, and equol. These approaches together have transformed microbiome science, but they remain incomplete. A critical and underutilised dimension is peptidomics: the systematic analysis of endogenous peptides in the gut and circulation. Enabled by peptide-enriching, protease-inhibiting workflows and high-resolution liquid chromatography-tandem mass spectrometry (LC-MS/MS), peptidomics directly captures unstable signaling peptides and proteolytic fragments that are often invisible to conventional proteomics. Coupled with emerging gut-specific peptide databases, such as MetaPep, and Artificial Intelligence (AI) assisted de novo sequencing and spectral prediction for non-human peptides, this provides a concrete technical route to reading out the functional peptide layer of the microbiome. Peptidomics can capture functional signals of host-microbiome interaction, reveal context-specific biomarkers, and provide mechanistic insight into disease. Recent studies demonstrate that peptide-level resolution uncovers microbial contributions to gut inflammation, modulates the gut-brain axis, and enables peptide-based disease stratification in conditions such as inflammatory bowel disease. However, despite these promising examples, peptidomics remains largely absent from mainstream microbiome research. Integrating peptidomics with existing genomic, transcriptomic, and metabolomic approaches will generate a more complete and functional picture of the microbiome. This shift will accelerate biomarker discovery, refine diagnostics, and expand the search for peptide-based therapeutics, positioning peptidomics as an essential next step in microbiome science.},
}

Humans
*Proteomics/methods
*Gastrointestinal Microbiome
*Peptides/metabolism
Metabolomics/methods
*Microbiota

@article {pmid42035799,
year = {2026},
author = {Chen, S and Zhu, B and Lu, X and Huang, Y and Wang, S and Wang, W and Chen, G and Wu, X and Zhou, J and Wu, F and Wu, K},
title = {Integrative multi-kingdom gut microbiome analysis uncovers clinical signatures of major depressive disorder.},
journal = {Journal of affective disorders},
volume = {408},
number = {},
pages = {121858},
doi = {10.1016/j.jad.2026.121858},
pmid = {42035799},
issn = {1573-2517},
mesh = {Humans ; *Major Depressive Disorder/microbiology/diagnosis ; *Gastrointestinal Microbiome/genetics ; Male ; Female ; Adult ; Young Adult ; Feces/microbiology ; Case-Control Studies ; },
abstract = {BACKGROUND: Accumulating evidence indicates that gut microbiome is significantly altered in major depressive disorder (MDD). However, most studies have focused on bacteria, while the functional and ecological contributions of eukaryotes, archaea, and viruses in MDD remain poorly understood.

METHODS: Fecal samples were collected from 121 first-episode, drug-naïve young adults with MDD and 117 healthy controls (HC) with matched demographic characteristics for shotgun metagenomic sequencing. Clinical data included the Hamilton Depression Scale (HAMD) and the MATRICS Consensus Cognitive Battery (MCCB). We systematically explored the multi-kingdom gut microbiome, functional genes, and metabolic pathways in MDD and their clinical associations, further assessing their diagnostic potential via machine learning.

RESULTS: MDD patients showed significant alterations in multi-kingdom microbiota diversity, accompanied by coordinated diversity relationships across microbial kingdoms relative to HC. In addition, we further identified 19 bacterial, 16 eukaryotic, 15 archaeal, and 10 viral species, as well as 22 functional genes and 32 metabolic pathways, that differed between groups. Importantly, five bacterial and four viral species were significantly associated with cognitive function, such as a positive correlation between Bifidobacterium pseudocatenulatum and attention/vigilance in MDD. Finally, validation demonstrated that a Random Forest model integrating multi-kingdom microbiota and functional features achieved superior diagnostic performance, significantly outperforming models based solely on bacterial features.

CONCLUSION: This study revealed extensive multi-kingdom microbial dysbiosis in MDD, providing deeper insight into disease-associated ecological disruption and highlighting the potential of microbial markers for enhancing clinical auxiliary diagnosis.},
}

Humans
*Major Depressive Disorder/microbiology/diagnosis
*Gastrointestinal Microbiome/genetics
Male
Female
Adult
Young Adult
Feces/microbiology
Case-Control Studies

@article {pmid42068598,
year = {2026},
author = {Xu, M and Cheng, K and Cai, Z and Chen, G and Zhou, J},
title = {Metagenomic and metatranscriptomic insights into Ruegeria profundi-driven protective responses in coral holobionts against Vibrio coralliilyticus infection.},
journal = {Microbiological research},
volume = {309},
number = {},
pages = {128530},
doi = {10.1016/j.micres.2026.128530},
pmid = {42068598},
issn = {1618-0623},
mesh = {Animals ; *Anthozoa/microbiology/genetics ; *Vibrio/pathogenicity/genetics ; Metagenomics ; Symbiosis ; *Rhodobacteraceae/genetics/physiology ; Coral Reefs ; Gene Expression Profiling ; Transcriptome ; Virulence/genetics ; Microbiota ; Microalgae/genetics ; Photosynthesis/genetics ; Vibrio Infections ; },
abstract = {In the context of climate-driven coral reef degradation, opportunistic pathogens such as Vibrio coralliilyticus are emerging as significant secondary threats, acting in synergy with thermal stress to accelerate coral bleaching and mortality. In this study, we investigated the role of Ruegeria profundi in mitigating V. coralliilyticus-induced bleaching. Specifically, the responses of coral holobiont members to pathogenic and probiotic influences were evaluated using metagenomics and metatranscriptomics. We found that the presence of V. coralliilyticus enhanced the metabolic potential of the coral-associated bacterial community, particularly regarding carbohydrate utilization and virulence. Conversely, R. profundi reduced the relative abundance of pathogenic Vibrio species by over 50% and broadly suppressed the expression of virulence genes within the coral-associated bacterial community, including a > 2-fold downregulation of genes involved in quorum sensing and flagellar assembly. Transcriptomic data indicated that immune-related genes in the host were upregulated, whereas photosynthesis-related genes in photosymbiotic microalgae were downregulated in response to V. coralliilyticus infection. R. profundi significantly promoted apoptosis resistance and antimicrobial peptide activity in the host and enhanced photosynthesis in photosymbiotic microalgae (p < 0.05). Furthermore, R. profundi significantly suppressed virulence gene expression in the coral-associated bacterial community (p < 0.05). Collectively, our results indicated that R. profundi orchestrates a tripartite defense mechanism involving the coral host, its associated bacterial community, and symbiotic microalgae, effectively mitigating pathogen-induced dysbiosis and bleaching. These findings have promising implications for microbiome-based strategies in coral reef restoration.},
}

Animals
*Anthozoa/microbiology/genetics
*Vibrio/pathogenicity/genetics
Metagenomics
Symbiosis
*Rhodobacteraceae/genetics/physiology
Coral Reefs
Gene Expression Profiling
Transcriptome
Virulence/genetics
Microbiota
Microalgae/genetics
Photosynthesis/genetics
Vibrio Infections

@article {pmid42108291,
year = {2026},
author = {Li, B and Yang, X and Zhao, T and Xu, J and Meng, Q and Yin, Q and Zou, Y},
title = {Metagenomic Assembly and Gene Prediction.},
journal = {Methods in molecular biology (Clifton, N.J.)},
volume = {3033},
number = {},
pages = {63-89},
pmid = {42108291},
issn = {1940-6029},
mesh = {*Metagenomics/methods ; *Metagenome ; *Computational Biology/methods ; Molecular Sequence Annotation ; Contig Mapping/methods ; Software ; Microbiota/genetics ; High-Throughput Nucleotide Sequencing/methods ; Sequence Analysis, DNA/methods ; },
abstract = {Metagenomic assembly and gene prediction connect quality-controlled reads to downstream microbiome analyses. This chapter outlines core assembly strategies, including per-sample versus co-assembly and short-read versus hybrid approaches, and highlights key parameters and metrics for evaluating assembly quality. Gene prediction from contigs and the construction of nonredundant gene catalogs are introduced as fundamental steps for representing community coding potential. The resulting contigs and gene sets provide essential input for metagenome-assembled genome (MAG) reconstruction, as well as taxonomic and functional annotation in subsequent chapters.},
}

*Metagenomics/methods
*Metagenome
*Computational Biology/methods
Molecular Sequence Annotation
Contig Mapping/methods
Software
Microbiota/genetics
High-Throughput Nucleotide Sequencing/methods
Sequence Analysis, DNA/methods

@article {pmid42108292,
year = {2026},
author = {Guo, JX and Gao, YZ},
title = {Absolute Quantification of Bacteria in the Microbiome and Its Application.},
journal = {Methods in molecular biology (Clifton, N.J.)},
volume = {3033},
number = {},
pages = {91-103},
pmid = {42108292},
issn = {1940-6029},
mesh = {*Microbiota/genetics ; *Bacteria/genetics/isolation & purification/classification ; High-Throughput Nucleotide Sequencing/methods ; Humans ; DNA, Bacterial/genetics ; Sequence Analysis, DNA/methods ; Metagenomics/methods ; },
abstract = {The advent of genomics and deep sequencing technologies has facilitated the development of absolute quantification techniques, which offer researchers more objective and precise sequencing outcomes. Unlike traditional relative quantification methods, which provide comparative data, absolute quantification delivers definitive measurements of genes or taxa. This analytical approach mitigates the potential for extraneous influences when comparing disparate samples, thereby reducing analytical errors. The implementation of absolute quantification techniques enhances our comprehension of microbial community structures, ecological dynamics, and their associations with host health or disease conditions. This chapter emphasizes a straightforward and broadly applicable method for genomic quantification, which necessitates the incorporation of a specified amount of internal standard DNA into the samples, eliminating the need for subsequent adjustments during library construction and sequencing. By assessing the proportion of internal standard DNA across various samples, sequencing data can be transformed into absolute quantification metrics. The internal standard method for absolute quantification is versatile and can be effectively utilized across multiple domains, including disease diagnosis, microbial ecology research, the fermentation industry, and environmental monitoring. Overall, absolute quantification methods furnish a more accurate and holistic perspective for microbiome research.},
}

*Microbiota/genetics
*Bacteria/genetics/isolation & purification/classification
High-Throughput Nucleotide Sequencing/methods
Humans
DNA, Bacterial/genetics
Sequence Analysis, DNA/methods
Metagenomics/methods

@article {pmid42108295,
year = {2026},
author = {Peng, B and Chang, X},
title = {Omics Approaches to Unraveling the Complexity of the Gut-Lung Axis.},
journal = {Methods in molecular biology (Clifton, N.J.)},
volume = {3033},
number = {},
pages = {147-164},
pmid = {42108295},
issn = {1940-6029},
mesh = {Humans ; *Gastrointestinal Microbiome ; *Lung/metabolism ; *Metabolomics/methods ; Lung Diseases/metabolism/microbiology ; Metagenomics/methods ; Dysbiosis ; Animals ; *Genomics/methods ; Proteomics/methods ; },
abstract = {The complex, bidirectional communication between the gut and the lungs, known as the "gut-lung axis," profoundly influences host immune homeostasis and the pathogenesis of respiratory diseases. In recent years, multi-omics approaches, including metagenomics, metabolomics, and metatranscriptomics, have emerged as the core driving force for unraveling the complexity of this interorgan cross talk network. This review aims to systematically summarize the current omics-based evidence in the field of the gut-lung axis. We highlight key communication mechanisms discovered through multi-omics integration, particularly how gut microbiota-derived metabolites, exemplified by short-chain fatty acids (SCFAs), mediate distal immune regulation. Concurrently, we consolidate omics evidence from the contexts of respiratory infectious diseases, chronic lung disorders, and aging, systematically delineating the impact of gut dysbiosis on pulmonary pathophysiology via the gut-lung axis and emphasizing the feasibility of disease management in patients with lung diseases by modulating the gut microbiota. Although omics technologies have significantly advanced our understanding of this field, the challenge of effectively integrating vast, heterogeneous data and transitioning from "correlation" to "causation" remains a primary hurdle. By reviewing and discussing the current omics evidence in the gut-lung axis, this paper aims to provide new perspectives for future mechanistic explorations and clinical translation strategies.},
}

Humans
*Gastrointestinal Microbiome
*Lung/metabolism
*Metabolomics/methods
Lung Diseases/metabolism/microbiology
Metagenomics/methods
Dysbiosis
Animals
*Genomics/methods
Proteomics/methods

@article {pmid42112348,
year = {2026},
author = {Hua, M and Luo, J and Li, P and Zhang, Y and Zhang, X and Wu, Y and Dong, H},
title = {The microbiota-systemic lupus erythematosus axis: mechanisms, diagnostics, and therapeutic frontiers.},
journal = {Frontiers in immunology},
volume = {17},
number = {},
pages = {1782828},
pmid = {42112348},
issn = {1664-3224},
mesh = {Humans ; *Lupus Erythematosus, Systemic/therapy/diagnosis/immunology/microbiology ; Dysbiosis/immunology ; Animals ; *Microbiota/immunology ; *Gastrointestinal Microbiome/immunology ; Autoimmunity ; },
abstract = {Systemic lupus erythematosus (SLE) is a prototypical autoimmune disease in which host-microbiota crosstalk plays a pivotal role in immune dysregulation. Recent metagenomic studies have revealed that disease-specific dysbiosis--characterized by the expansion of pathobionts and depletion of immunoregulatory commensals--occurs across the gut, oral cavity, skin, and genital tract. Integrative multi-omics analyses have identified three mechanistic pathways linking microbial imbalance to autoimmunity: (1) microbial peptides trigger molecular mimicry and epitope spreading, activating autoreactive lymphocytes: (2) microbial metabolites disrupt redox homeostasis, impair epithelial barriers, and skew the AhR-mediated Th17/Treg balance; and (3) dysbiosis alters epigenetic regulation by inhibiting DNA methyltransferases, leading to hypomethylation of SLE-risk genes. Translational studies have shown that microbiome-targeted interventions, including probiotics, prebiotics, fecal microbiota transplantation, and even B cell-depleting chimeric antigen receptor T-cell (CAR-T) therapy, can restore microbial balance, reduce autoantibody levels, and modulate the gut-immune axis. Furthermore, microbial signatures are emerging as potential biomarkers for disease activity and treatment response. Despite this promise, challenges remain, such as the impact of immunosuppressants on the microbiota, spatial heterogeneity in host-microbe interactions, and limitations in causal inference. Looking forward, integrating single-cell metagenomics, microbiota-directed diets, and engineered microbial consortia may pave the way for personalized microbiome-based therapies. Reframing SLE as a "meta-organismal imbalance" positions microbial ecology at the forefront of precision medicine.},
}

Humans
*Lupus Erythematosus, Systemic/therapy/diagnosis/immunology/microbiology
Dysbiosis/immunology
Animals
*Microbiota/immunology
*Gastrointestinal Microbiome/immunology
Autoimmunity

@article {pmid42112890,
year = {2026},
author = {Sorokin, DY and Khot, V and Merkel, AY and Mosier, D and Bale, NJ and Koenen, M and Strous, M},
title = {Physiology, functional genomics, and proteomics of Verruconatronum alginivorum gen. nov., sp. nov., the first isolated haloalkaliphile within Verrucomicrobiota, representing a new family, Verruconatronumaceae fam. nov.},
journal = {Applied and environmental microbiology},
volume = {},
number = {},
pages = {e0047526},
doi = {10.1128/aem.00475-26},
pmid = {42112890},
issn = {1098-5336},
abstract = {Despite the successful cultivation of many microbes from rich bacterial communities inhabiting alkaline soda lakes, members of the bacterial phylum Verrucomicrobiota have so far been detected only through metagenomics. Here, we used alginate as a selective substrate to enrich and isolate two strains of haloalkaliphilic Verrucomicrobiota. The isolates share identical 16S rRNA gene sequences representing a new genus lineage, and, together with other metagenome assembled genomes, a new family within Opitutales. Cells of strains AB-alg1[T] (from soda lakes) and AB-alg4 (from soda solonchak soils) are small and motile cocci forming submerged colonies in soft alginate agar. They are saccharolytic heterotrophs growing aerobically on polysaccharides (alginate, starch, and inulin) and sugars (glucose, fructose, mannose, sucrose, melezitose, maltose, and cellobiose). They also grow anaerobically by fermentation of alginate and D-mannose and by coupling incomplete denitrification to oxidation of alginate. Both isolates are obligately alkaliphilic and moderately salt-tolerant. The dominant membrane phospholipids include phosphatidylcholines and diphosphatidylglycerols (cardiolipins). The genome of AB-alg1[T] features polysaccharide lyases of the PL6, 7, 15, 17, 38, and 39 families for depolymerization of alginate. Based on distinct phenotype and phylogeny, we propose classification of strains AB-alg1[T] (JCM 35393[T]=UQM 41574[T]) and AB-alg4 as Verruconatronum alginivorum gen. nov., sp. nov. within a new family Verruconatronumaceae.IMPORTANCEAlkaline soda lakes and soils are extreme habitats dominated by obligate haloalkaliphic prokaryotes, some of which can produce alkali- and salt-stable polysaccharide-degrading exoenzymes useful for industrial and domestic applications. However, so far, little was known about the microbial potential for mineralization of acidic polysaccharides, such as alginate, in these habitats. The described isolates are the first representatives of a new family within the phylum Verrucomicrobiota specializing in the degradation of alginate and related polysaccharides. We present the key enzymatic machinery for alginate breakdown. These enzymes are high-pH tolerant and have potential for industry applications, for example, in washing powders and biomass waste recycling. Furthermore, the new family is one of the most abundant taxa in alkaline environments, and these environments are not known to harbor signature alginate producing biota, such as brown algae. This way, our study opens a new window on polysaccharide turnover in alkaline environments.},
}

@article {pmid42113811,
year = {2026},
author = {Mussa, AJ and Ruboha, JO and Kabota, SA and Martin, MJ and Mwatawala, MW},
title = {Elevation and land use shape soil entomopathogenic fungal communities in the Uluguru mountains, Tanzania: Insights from metagenomic and culture-based approaches.},
journal = {PloS one},
volume = {21},
number = {5},
pages = {e0348781},
pmid = {42113811},
issn = {1932-6203},
mesh = {Tanzania ; *Soil Microbiology ; Animals ; *Fungi/genetics/classification/isolation & purification ; *Altitude ; Biodiversity ; Soil/chemistry ; Metagenomics/methods ; *Mycobiome ; },
abstract = {BACKGROUND: Soil-borne entomopathogenic fungi (EPFs) support ecological regulation of pests, yet their distribution across tropical mountain agroecosystems is poorly characterized. The study conducted between April and December 2024, evaluated diversity and distribution of soil EPF along the Uluguru Mountains slopes in Morogoro, Tanzania.

METHODS: Twenty-four soil samples were collected from cultivated and fallow soils at low (518 m), medium (1100 m), and high (1700 m) elevations on the Uluguru slopes (Morogoro, Tanzania). Amplicon sequencing of the ITS region profiled fungal communities, and selective isolation with ITS barcoding confirmed cultivable taxa. Diversity indices, Bray-Curtis dissimilarity, Principal Coordinate Analysis (PCoA), and PERMANOVA evaluated patterns across elevation and land use.

RESULTS: Fourteen EPF species in 12 genera were detected, dominated by Ophiocordycipitaceae (56.1%) and Clavicipitaceae (37.8%). Purpureocillium lilacinum, Metarhizium anisopliae, Clonostachys rosea, and Pochonia chlamydosporia were widespread. Cultivated soils at medium- and high elevations showed greater richness and diversity (1.37 and 1.57) than fallows (0.64 and 0.48) respectively, while high-altitude fallows were strongly dominated by Metapochonia suchlasporia. Community composition clustered by land use, with elevation as a secondary driver (PERMANOVA p = 0.06). Selected P. lilacinum and C. rosea species caused 10-50% mortality of Spodoptera frugiperda larvae in preliminary laboratory assays.

CONCLUSIONS: Elevation and land use jointly structure EPF communities in the Uluguru Mountains. Some taxa showed preliminary pathogenicity in laboratory assays, indicating potential for future evaluation as biological control agents in smallholder farming systems. Public deposition of sequencing reads will facilitate reuse and benchmarking.},
}

Tanzania
*Soil Microbiology
Animals
*Fungi/genetics/classification/isolation & purification
*Altitude
Biodiversity
Soil/chemistry
Metagenomics/methods
*Mycobiome

@article {pmid42116123,
year = {2026},
author = {Zhou, J and Cheng, H and Zhang, Y and Liu, T and Chen, X and Lea-Smith, DJ and Todd, JD and Liu, J and He, X and Liu, R and Zhang, XH},
title = {Vertical distribution and metabolic diversity of autotrophic microbes in the deep sediment of the challenger deep.},
journal = {Environmental microbiome},
volume = {},
number = {},
pages = {},
doi = {10.1186/s40793-026-00908-5},
pmid = {42116123},
issn = {2524-6372},
support = {BB/Y008332/1/BB_/Biotechnology and Biological Sciences Research Council/United Kingdom ; NE/X014428//Natural Environmental Research Council/ ; NE/P012671//Natural Environmental Research Council/ ; RPG-2020-413//Leverhulme Trust/ ; ZR2024JQ006//Natural Science Foundation of Shandong Province/ ; 32370118//National Natural Science Foundation of China/ ; 202172002//Fundamental Research Funds for the Central Universities/ ; 2025YFF0516900&2025YFF0516903//National Key Research and Development Program of China/ ; },
abstract = {BACKGROUND: Carbon fixation in marine ecosystems is a vital process that contributes to climate regulation, with ocean sediments playing a critical role in carbon sequestration. This process is driven by chemolithoautotrophy in marine sediments, fueled by reduced compounds, such as those containing nitrogen and sulfur. However, the vertical distribution of microbial autotrophs and their energy coupling systems remain poorly understood in many sediments. In this study, we investigated a 750 cm sediment core from the Challenger Deep, the deepest point on Earth, which harbors abundant and diverse microbes under extreme conditions.

RESULTS: To explore the autotrophic characteristics across redox conditions in this core, we characterized the microbial community, metagenome, and metagenome-assembled genomes (MAGs), and their potential for carbon fixation processes and associated energy metabolism. The Wood-Ljungdahl (WL) pathway, primarily driven by Planctomycetota and Aerophobota, and the reverse oxidative TCA (roTCA) cycle, primarily driven by Bacteroidota and Gemmatimonadota, were the dominant predicted carbon fixation pathways, with hydrogen as the primary energy source, coupled to nitrogen and sulfur metabolism. Notably, the 3-hydroxypropionate/4-hydroxybutyrate (3HP/4HB) cycle, mediated by Nitrososphaeria, showed the highest abundance in the oxidized environment (15-27 cm below the seafloor), where ammonia oxidation likely served as the primary energy source. Gammaproteobacteria were predicted to utilise sulfur oxidation, whereas Alphaproteobacteria and Chloroflexota used hydrogen to drive the Calvin-Benson-Bassham (CBB), reductive glycine pathway (rGly) in Alphaproteobacteria and the dicarboxylate/4-hydroxybutyrate cycle (DC/4HB) in Chloroflexota, respectively. The abundance of carbon fixation, and nitrogen, sulfur and hydrogen cycling functional genes were significantly correlated with environmental factors (NH4[+] and SiO3[2-]) based on Pearson's correlation analysis.

CONCLUSION: This study reveals the vertical distribution of microbial carbon fixation potential and diversity in sediments driven by redox conditions, highlights the crucial role of hydrogen as an energy source, and provides new insights for optimizing global deep-sea carbon cycle models. Collectively, these findings extend the redox tower theory by revealing a hadal-sediment specific distribution of autotrophic genes, characterized by persistent enrichment of energetically efficient pathways and dominant hydrogen-based energy coupling across deep sediment layers.},
}

@article {pmid42116469,
year = {2026},
author = {Liu, D and Li, J and Zhang, J and Zhang, C},
title = {CO2-modified atmosphere improves the flavor quality of low-salt Xuecai by regulating microbial communities and metabolic functions.},
journal = {Food research international (Ottawa, Ont.)},
volume = {236},
number = {},
pages = {119201},
doi = {10.1016/j.foodres.2026.119201},
pmid = {42116469},
issn = {1873-7145},
mesh = {*Carbon Dioxide/chemistry ; *Taste ; *Microbiota ; *Vegetables/microbiology/metabolism/chemistry ; *Food Microbiology ; *Atmosphere ; Biogenic Amines/analysis/metabolism ; Food Handling/methods ; Volatile Organic Compounds/analysis ; },
abstract = {Low-salt pickled vegetables are often limited by their poor flavor and the accumulation of biogenic amines (BAs). In the present study, the effects of CO2-modified atmosphere (CMA) technology on the dynamics of flavor compounds, microbial communities, and metabolic functions in low-salt Xuecai during pickling were investigated. In comparison with low-salt pickling under natural air conditions, a CMA effectively prevented excessive acidification, enriched volatile metabolites (e.g., isothiocyanates, alcohols, and esters), and minimized the accumulation of bitter-tasting amino acids, resulting in pickled vegetables with excellent flavor quality. Moreover, a CMA significantly inhibited the formation of BAs compared to low-salt natural pickling (P < 0.05; 46.71 vs. 114.29 mg/kg after 90 days of pickling), thereby enhancing the safety of low-salt Xuecai. In addition, metagenomic analysis showed that using a CMA for low-salt Xuecai production inhibited halophilic and spoilage microorganisms while enriching Lactobacillus-related populations. Metabolic pathway analysis revealed that the expression levels of the tricarboxylic acid cycle, amino acid metabolism, and genes encoding enzymes (i.e., amino acid decarboxylases, amine deiminases, and amine synthases) related to BA production were lower under a CMA. This, in turn, improved the flavor quality and inhibited the generation of BAs in low-salt Xuecai. Our study offers an alternative method for developing low-salt fermented foods.},
}

*Carbon Dioxide/chemistry
*Taste
*Microbiota
*Vegetables/microbiology/metabolism/chemistry
*Food Microbiology
*Atmosphere
Biogenic Amines/analysis/metabolism
Food Handling/methods
Volatile Organic Compounds/analysis

@article {pmid41521588,
year = {2026},
author = {Alolod, GAL and Guzman, JPMD and Bermeo-Capunong, MRA and Konishi, K and Koiwai, K and Kondo, H and Hirono, I},
title = {Metagenomic Insights on the Progression of White Muscle Disease in Kuruma Shrimp (Penaeus japonicus) Caused by Photobacterium damselae subsp. damselae.},
journal = {Journal of fish diseases},
volume = {49},
number = {6},
pages = {e70117},
doi = {10.1111/jfd.70117},
pmid = {41521588},
issn = {1365-2761},
support = {22H00379//Japan Society for the Promotion of Science/ ; JPMJSA1806//Japan Science and Technology Agency/ ; },
mesh = {Animals ; *Photobacterium/physiology ; *Penaeidae/microbiology ; RNA, Ribosomal, 16S/analysis/genetics ; *Gastrointestinal Microbiome ; Metagenomics ; *Metagenome ; Muscles/microbiology ; },
abstract = {Kuruma shrimp (Penaeus japonicus) is an economically important shrimp perennially affected by diseases. In 2022, White Muscle Disease (WMD) was first characterised in this Penaeid species, caused by Photobacterium damselae subsp. damselae (Pdd). In this study, muscular and gut microbiome dynamics and their function in the disease progression are investigated by 16S rRNA metagenome sequencing using Illumina sequencing technologies. Alpha diversity indices showed that Pdd infection in the muscle, stomach, and intestine did not significantly change bacterial diversity between control and infected groups at all time points observed (Days 0, 1, 3, 5, 7 and 10). In the infected samples, the Shannon and Simpson indices increased starting Day 5 (D5), in congruence with the first observation of muscle whitening. Bacterial composition for the infected group at the genus level revealed that Photobacterium and Vibrio have increased their relative abundance in the muscle at Day 5 (D5) until Day 7 (D7), but declined at Day 10 (D10). As for stomach samples, Photobacterium declined in abundance and later increased significantly at Day 7 (D7). Photobacterium in the intestinal samples from the infected group increased at Day 5 (D5) but later decreased at Day 7 (D7). Meanwhile, linear discriminant analysis Effect Size (LEfSe) identified that most taxa belong to phylum Pseudomonadota, which can be potential markers for WMD. Moreover, the temporal dynamics of the amplicon sequencing variant ASV2, confirmed to be 100% homologous to the WMD-P3 strain used in this study, were characterised. For all tissues, the logarithmic relative abundance is considered high and very apparent in infected samples collected at Day 7 (D7). Overall, our study provides an understanding of the muscle and gut microbial community, specifically at the genus level, distinguished between WMD-infected and healthy Kuruma shrimps.},
}

Animals
*Photobacterium/physiology
*Penaeidae/microbiology
RNA, Ribosomal, 16S/analysis/genetics
*Gastrointestinal Microbiome
Metagenomics
*Metagenome
Muscles/microbiology

@article {pmid42104576,
year = {2026},
author = {Ii C, JF and Vidal, MJS and Dela Cruz, FSE and Tantengco, OAG and Menon, R},
title = {The Microbiome Signature of the Placenta and its Role in Spontaneous Preterm Birth: A Systematic Review and 16S rRNA Re-Analysis.},
journal = {American journal of reproductive immunology (New York, N.Y. : 1989)},
volume = {95},
number = {5},
pages = {e70246},
doi = {10.1111/aji.70246},
pmid = {42104576},
issn = {1600-0897},
mesh = {Humans ; Female ; Pregnancy ; *Placenta/microbiology ; *Premature Birth/microbiology/immunology ; *Microbiota/genetics ; *RNA, Ribosomal, 16S/genetics ; },
abstract = {PROBLEM: The advent of high-throughput 16S rRNA sequencing has enabled deeper insights into microbial communities associated with adverse pregnancy outcomes, including spontaneous preterm birth (sPTB). While microbial dysbiosis in the cervicovaginal and oral-gut microbiomes has been implicated in sPTB, the existence of a placental microbiome remains contentious. Traditional paradigms of a "sterile womb" have been challenged by studies suggesting a low-biomass microbial community in the placenta, though recent evidence disputes this claim, attributing findings to contamination or transient microbial DNA signals.

METHOD: This study systematically reviewed placental microbiome studies employing 16S rRNA sequencing and re-analyzed publicly available datasets to determine microbial signatures in term and preterm placentas. Following a comprehensive search of three databases and stringent inclusion criteria, seven studies were included. The risk of bias was assessed using a modified Joanna-Briggs tool, revealing moderate-to-low risk across studies. Methodological heterogeneity, including differences in contamination controls, sequencing regions, and analytical platforms, was a significant limitation.

RESULTS: A re-analysis of sequencing data showed no consistent microbiome signature distinguishing the term from preterm placentas. Beta diversity analysis revealed no group clustering, while alpha diversity indices showed comparable species richness. Bacterial DNA in placental tissues was primarily attributed to contamination from the urogenital tract or laboratory processes.

CONCLUSION: Findings underscore the importance of robust contamination control and standardized protocols in low-biomass microbiome research. Future studies should employ advanced techniques, such as metagenomics and fluorescence in situ hybridization, to evaluate the functional relevance of microbial communities in the placenta, as well as rule out microbial DNA deposited in the placenta through circulating bacterial extracellular vesicles (EVs).},
}

Humans
Female
Pregnancy
*Placenta/microbiology
*Premature Birth/microbiology/immunology
*Microbiota/genetics
*RNA, Ribosomal, 16S/genetics

@article {pmid42104663,
year = {2026},
author = {Yang, KL and Zhai, JN and Ye, JW and Zhang, XN and Wei, QC and Wang, H and Wang, HM and Chu, LL and Yang, J},
title = {Dysbiosis of Gut Archaea is Associated with Obesity and Could be Recovered after Bariatric Surgery.},
journal = {Biomedical and environmental sciences : BES},
volume = {39},
number = {4},
pages = {437-446},
doi = {10.3967/bes2026.019},
pmid = {42104663},
issn = {2214-0190},
mesh = {Humans ; *Bariatric Surgery ; *Gastrointestinal Microbiome ; *Obesity/microbiology/surgery ; Male ; Female ; *Archaea/physiology/genetics/classification ; Adult ; Middle Aged ; *Dysbiosis/microbiology ; },
abstract = {OBJECTIVE: Obesity is closely associated with an altered gut microbiota; however, the role of archaea in obesity remains unknown. We aimed to delineate the alterations in gut archaea in obese subjects and explore the changes in bariatric surgery-associated gut archaeal composition.

METHODS: Metagenomic sequencing data from 191 obese subjects and 184 lean controls were retrieved from three public cohorts. Of these, 23 obese patients who underwent bariatric surgery were followed up for 3 months.

RESULTS: The gut archaea of obese subjects showed significantly lower Shannon diversity index than those of lean controls. Principal component analysis of the gut archaea revealed distinct clusters in obese subjects and lean controls. A model using the 20 top archaeal genera discriminated obese from lean controls with an area under the receiver operating characteristic curve (AUC) of 0.79, 0.83, and 0.86 in three cohorts. Ecological analysis showed decreased trans-kingdom correlations between archaea and bacteria in obese subjects compared to those in lean controls, with partial restoration observed after bariatric surgery.

CONCLUSION: This is the first study to demonstrate that obesity is characterized by gut archaeal dysbiosis across multiple cohorts. Bariatric surgery-induced weight loss is associated with significant changes in the gut archaea.},
}

Humans
*Bariatric Surgery
*Gastrointestinal Microbiome
*Obesity/microbiology/surgery
Male
Female
*Archaea/physiology/genetics/classification
Adult
Middle Aged
*Dysbiosis/microbiology