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RevDate: 2025-06-04
CmpDate: 2025-06-04

Li S, Rao C, Zang X, et al (2025)

Characterization of aroma active compounds and microbial communities in spontaneously fermented Vitis quinquangularis wines.

Food research international (Ottawa, Ont.), 214:116676.

This study comprehensively investigated volatile compounds and microbial communities of spontaneously fermented Vitis quinquangularis wines from the Guangxi production regions. The aroma profiles of V. quinquangularis wines were analyzed by GC-O-MS, GC-QQQ-MS/MS, and quantitative descriptive analysis. The wines exhibit predominantly fruity and floral notes, with contributions from esters and (E)-β-damascenone. A distinctive and typical "green and earthy" aroma was observed, with contributions from C6 compounds and volatile phenols such as 1-hexanol, (E)-3-hexen-1-ol, hexanoic acid, 4-vinylguaiacol, eugenol, and isoeugenol. Metagenomics and culturomics analyses indicated that the dominant strains involved in the spontaneous fermentation process were Hanseniaspora opuntiae, Saccharomyces cerevisiae, Paenibacillus sp., Sphingomonas sp., and Bacillus sp. Additionally, microorganisms from sixteen generas, including Actinomycetospora and Ameyamaea, etc., along with six enzymes like EC 1.1.1.1 and EC 1.1.1.318, etc., were implicated in the production of the "green and earthy" aroma in V. quinquangularis wines.

RevDate: 2025-06-04

Ghensi P, Heidrich V, Bazzani D, et al (2025)

Shotgun Metagenomics Identifies in a Cross-Sectional Setting Improved Plaque Microbiome Biomarkers for Peri-Implant Diseases.

Journal of clinical periodontology [Epub ahead of print].

AIM: This observational study aimed to verify and improve the predictive value of plaque microbiome of patients with dental implant for peri-implant diseases.

MATERIALS AND METHODS: Patients were included in one of the following study groups according to the health status of their dental implants: (a) healthy, (b) affected by mucositis and (c) affected by peri-implantitis. From each patient, submucosal plaque microbiome samples were collected from the considered dental implant and from a contralateral healthy implant/tooth. After shotgun metagenomic sequencing, the plaque microbiome was profiled taxonomically and functionally with MetaPhlAn 4 and HUMAnN 3, respectively. Taxonomic and functional profiles were fed into machine-learning models, which were then evaluated with cross-validation to assess the extent to which the plaque microbiome could be used to pinpoint peri-implant diseases.

RESULTS: Shotgun metagenomics sequencing was performed for a total of 158 samples spanning 102 individuals. Four-hundred and forty-seven prokaryotic species were identified as part of the peri-implant microbiome, 34% of which were currently uncharacterized species. At the community level, the peri-implant microbiome differed according to the health status of the implant (p ≤ 0.006 for all pairwise comparisons) but this was site-specific, as healthy contralateral sites showed no discriminating microbiome features. Peri-implantitis microbiomes further showed lower inter-subject variability than healthy plaque microbiomes (p < 0.001), while mucositis-associated microbiomes were in the middle of the continuum between health and peri-implantitis. Each health condition was associated with a strong signature of taxonomic and functional microbiome biomarkers (log10 LDA score ≥ 2.5), 30% and 13% of which represented uncharacterized microbial functions and unknown species, respectively. Distinct Fusobacterium nucleatum clades were associated with implant status, highlighting the subspecies F. nucleatum's functional and phenotypic diversity. Machine-learning models trained on taxonomic or functional plaque microbiome profiles were highly accurate in differentiating clinical groups (AUC = 0.78-0.96) and highlighted the extent to which the peri-implant microbiome is associated with peri-implant clinical parameters (AUC = 0.79-0.87).

CONCLUSIONS: Plaque microbiome profiling with shotgun metagenomics revealed consistent associations between microbiome composition and peri-implant diseases. In addition to pointing to peri-implant-associated microbes, warranting further mechanistic studies, we showed high-resolution plaque microbiome evaluation via metagenomics as an effective tool. Its utility within protocols for clinical management of peri-implant diseases should be explored in the future.

RevDate: 2025-06-04

Valmas MI, Kormas K, Karpouzas DG, et al (2025)

Targeted analysis of metagenomes: divide and conquer.

Biotechnology advances pii:S0734-9750(25)00105-3 [Epub ahead of print].

The rapidly developing field of targeted analysis of metagenomes focuses on retrieving information about specific genes and/or genome(s) from environmental DNA. The traditional shotgun sequencing methods overemphasise dominant microorganisms and often fail to confidently assign the entirety of the analysed genetic material to specific species, genomovars, or strains. The ultimate goal of the targete methods is to overcome this limitation of throughput and precision of current shotgun metagenomics when analysing complex microbial communities in the quest of refined information. Here, we discuss recent technological advances that are designed to focus the analytical power of diagnostic tools like sequencing, towards phylogenetically or functionally distinct and rare microbial groups and enhance e.g. the confidence in the assignment of genetic elements to their respective owning organisms. We specifically showcase the capabilities of these technological advances for targeted analysis of metagenomes, identify suitable related applications, discuss methodological limitations, and propose solutions for addressing these limitations. This review aspires to inspire highly relevant experimental designs in the future that will unlock unknown and important aspects of microbial ecology, and the yet-uncultivated microbial majority.

RevDate: 2025-06-04

Potrykus M, Kurpas M, Gałęzowska G, et al (2025)

Linking Chemical Contamination to Composition of Bacterial Communities in Urban Beach Sands of a Brackish Sea Under Anthropogenic Pressure.

Environmental pollution (Barking, Essex : 1987) pii:S0269-7491(25)00969-8 [Epub ahead of print].

The water quality on recreational beaches is constantly monitored. However, given that beachgoers often spend more time in contact with the sand than the seawater, it is essential to also regularly assess beach sand quality. In this study, 34 beach sand samples were collected in seven locations along the south shore of the Baltic Sea (Europe) between 2022 and 2023. The samples were obtained from recreational beaches with significant anthropogenic pressure. Since the use of new chemicals is widespread, it is imperative to not only monitor known contaminants but also to actively search for the presence of new ones in the environment. In order to establish the connection between the bacterial biodiversity and their possible resilience in the contaminated marine environment, the bacterial abundances in the beach sand were compared based on 16S rDNA sequencing with chemical contamination examined with non-targeted GC-MS. One hundred forty-nine (149) distinct chemicals were detected, many of which are of human health concern. The presence of polycyclic aromatic hydrocarbons, plasticizers and benzothiazoles in the sand samples was observed, and these contaminants were found to be associated with alterations in the bacterial community structure, characterized by a decrease or increase in certain taxonomic groups. Notably, the bacterial communities exhibited specificity to each location and demonstrated stability throughout the seasons. Furthermore, the presence of DNA from 31 potential human pathogens was detected in the sand. These findings emphasize the necessity for regular monitoring of beach sand for the presence of toxic chemicals and pathogens to safeguard public health and the environment.

RevDate: 2025-06-04

Yang Y, Abdelfattah A, Jia H, et al (2025)

Enhanced nitrogen removal by Comamonas 110 colonization and bioaugmentation in sequencing batch activated sludge bioreactor.

Bioresource technology pii:S0960-8524(25)00725-4 [Epub ahead of print].

While pure functional strains demonstrate high pollutant removal efficiency, their environmental persistence remains challenging. This study optimized Comamonas 110 inoculation strategies in activated sludge systems, enhancing nitrogen removal efficiency (44 % of nitrogen removal at day 180) and achieving stable colonization (15.22 % abundance at day 180) through 30 % initial dosage combined with operational parameter regulation. Monod modeling and 16S rRNA sequencing revealed Comamonas 110 suppressed Nitrite-Oxidizing Bacteria (NOB) while boosting Ammonia-Oxidizing Bacteria (AOB). Denitrifying enzymes (NAR and NIR) increased significantly in inoculated reactors, attributing to the substantial presence of Comamonas 110. Metagenomics revealed upregulated (tricarboxylic acid) TCA cycle genes and nitrogen metabolism pathways, optimizing electron transfer for denitrification. Concurrently, Extracellular Polymeric Substance (EPS) synthesis-related genes were activated, promoting co-aggregation with native EPS-producing microbes. This study provides new insights into colonization dynamics of bioaugmentation strains through microbiome-environment interplay.

RevDate: 2025-06-04

Zhang J, Zeng W, Meng Q, et al (2025)

Insights into synergistic metabolism mechanisms of carbon, nitrogen and phosphorus in Tetrasphaera-dominated partial denitrifying phosphorus removal and anammox (PDPRA) process.

Water research, 284:123901 pii:S0043-1354(25)00809-7 [Epub ahead of print].

The partial denitrifying phosphorus removal coupled with anammox (PDPRA) technology holds great promise for the simultaneous removal of carbon, nitrogen, and phosphorus. However, its widespread application is hindered by the instability of nitrite accumulation and the strong dependence on volatile fatty acids (VFAs) of traditional denitrifying polyphosphate accumulating organisms (DPAOs). This study first proposes coupling partial denitrifying phosphorus removal, driven by Tetrasphaera, a novel fermentative DPAO, with anammox for efficiently treating wastewater rich in complex organic matter (e.g., amino acids and proteins). A comprehensive investigation was conducted on the synergistic metabolic mechanisms between DPAOs and anammox bacteria (AnAOB). Under a low carbon to nitrogen (C/N) ratio of 3.1 ± 0.1, Tetrasphaera utilized intracellular amino acids, particularly proline, to drive the stable and efficient nitrite accumulation, leading to a contribution of 82.64 % to total nitrogen removal through anammox. This PDPRA system ultimately achieved remarkable removal efficiency of chemical oxygen demand (COD, 84.8 ± 0.8 %), total inorganic nitrogen (TIN, 92.3 ± 0.9 %) and orthophosphate (PO4[3-]-P, 92.0 ± 1.5 %). Microbial community analysis and metagenomic sequencing revealed the high abundance of Tetrasphaera and Candidatus Brocadia, with their high contribution to key functional genes (narGHI, napAB, ppk1, ppk2, hzs, hdh) confirming the co-existence and co-prosperity metabolic relationship between DPAO and AnAOB. Additionally, an even spatial distribution of Tetrasphaera and AnAOB within the biofilm was developed, further ensuring the stable and efficient removal performance. The findings of this study contribute to the broader application of the PDPRA process and provide a new approach for treating wastewater containing complex organic matter.

RevDate: 2025-06-04
CmpDate: 2025-06-04

de Porto AP, Dylla NP, Stutz M, et al (2025)

Fecal metabolite profiling identifies critically ill patients with increased 30-day mortality.

Science advances, 11(23):eadt1466.

Critically ill patients admitted to the medical intensive care unit (MICU) have reduced intestinal microbiota diversity and altered microbiome-associated metabolite concentrations. Metabolites produced by the gut microbiota have been associated with survival of patients receiving complex medical treatments and thus might represent a treatable trait to improve clinical outcomes. We prospectively collected fecal specimens, defined microbiome compositions by shotgun metagenomic sequencing, and quantified microbiota-derived fecal metabolites by mass spectrometry from 196 critically ill patients admitted to the MICU for non-COVID-19 respiratory failure or shock to correlate microbiota features and metabolites with 30-day mortality. Microbiota compositions of the first fecal sample after MICU admission did not independently associate with 30-day mortality. We developed a metabolic dysbiosis score (MDS) that uses fecal concentrations of 13 microbiota-derived metabolites, which predicted 30-day mortality independent of known confounders. The MDS complements existing tools to identify patients at high risk of mortality by incorporating potentially modifiable, microbiome-related, independent contributors to host resilience.

RevDate: 2025-06-04
CmpDate: 2025-06-04

Liu M, Geng J, Jin S, et al (2025)

Alterations of the Enteric Virome in Vogt-Koyanagi-Harada Disease.

Investigative ophthalmology & visual science, 66(6):15.

PURPOSE: This study aims to explore the enteric virome characteristics of Vogt Koyanagi Harada (VKH) disease and its potential role in this disease.

METHODS: Shotgun metagenomic sequencing was used to detect the enteric virome and 16S rRNA to detect the bacteriome in new-onset, untreated patients with VKH (n = 25) and age- and sex-matched healthy controls without autoimmune diseases (n = 25).

RESULTS: Patients with VKH exhibited different enteric viral communities from healthy controls, characterized by decreased richness of core viral communities (present in > 80% of samples) and increased richness of common viral communities (present in 50%-80% of samples). Notably, within the core virus community, bacteriophage richness was markedly reduced, whereas eukaryotic virus richness significantly increased in patients with VKH. The case-control analysis identified 42 differentially abundant viruses, including a decrease in crAss-like phages, the eukaryotic virus Moumouvirus_moumou, and an enrichment of the Chlamydiamicrovirus_CPG1. Most of the differential phages predominantly targeted bacteria from the phyla Pseudomonadota and Firmicutes. The gut virome-bacteria community correlation analysis revealed a shift in the interactions between the core viruses and bacterial communities. Additionally, Wroclawvirus PA5oct (a Pseudomonas phage) correlated with leukotrichia, a clinically relevant symptom of VKH (P = 0.042). The impact of multiple Pseudomonas phages on the host folate biosynthesis was significantly enhanced in patients with VKH. Moreover, the protein (Earp361-372) encoded by VKH-enriched Pseudomonas was identified to share homology with the melanin antigen gp10044-59.

CONCLUSIONS: The gut virome of patients with VKH differs significantly from healthy controls, suggesting its disturbance may contribute to gut microbiome imbalance and VKH development.

RevDate: 2025-06-04

Lewis R, Hammond R, Wilkinson M, et al (2025)

Technological developments driving industrial natural product discovery.

Natural product reports [Epub ahead of print].

Covering: up to 2025Bacterial natural products have long been the foundation for many therapeutic agents. However, traditional culture-based approaches to discovering these products have been deprioritised by pharmaceutical companies, primarily due to the high rates of rediscovery. To revitalise the pipeline of new drugs, especially antibiotics-an area where natural products have historically played a crucial role-new technologies are essential. Culture-independent, or metagenomic, techniques combined with long-read sequencing technologies are now enabling the identification of novel biosynthetic gene clusters (BGCs). When paired with the heterologous expression of DNA extracted directly from environmental samples (eDNA), these approaches may provide access to untapped microbial biosynthetic diversity. This review explores industrial screening for new compounds and examines how modern technologies such as metagenomics, in situ cultivation, and pico-droplet-based screening are advancing the search for novel natural products. These approaches have the potential to greatly expand the discovery of new bioactive compounds, helping to address the growing need for new therapeutic agents.

RevDate: 2025-06-04

Shropshire WC, Hanson BM, SA Shelburne (2025)

Genome-wide approaches to bacterial strain typing: a history and review of recent methodological advances.

Current opinion in infectious diseases pii:00001432-990000000-00231 [Epub ahead of print].

PURPOSE OF REVIEW: Whole genome sequencing (WGS) has transformed bacterial strain typing, an essential tool for outbreak detection, antimicrobial resistance surveillance, and tracking clonal emergence across clinical, research, and public health settings. Herein, we will review recent advances in WGS-based bacterial strain typing methods for purposes of comparison and classification with a focus on improvements in variant identification, strain classification, and transmission assessment.

RECENT FINDINGS: Advances in sequencing technologies as well as variant calling methodologies and parameter optimization have enhanced the precision and accuracy of single nucleotide variant identification. Hierarchical clustering of gene-by-gene strain typing, combined with novel data management and classification strategies, has improved standardized pathogen typing schemes in an effort to streamline inter-laboratory comparison. Additionally, novel approaches to defining transmission thresholds now better account for species-specific traits, while progress in metagenomic sequencing enables strain identification and tracking within mixed microbial communities.

SUMMARY: Recent developments have enhanced the accuracy, portability, scalability, and standardization of bacterial typing methods, integrating variant calling and gene-by-gene approaches into unified genotyping systems. However, challenges still remain in nomenclature consistency, inter-laboratory variant calling compatibility, and capturing bacterial heterogeneity. Future work should focus on refining genotyping frameworks to enhance surveillance and optimize detection of pathogen transmission while accounting for microbial diversity across various environments.

RevDate: 2025-06-04

Kim R, Oh S, Woo KA, et al (2025)

Blood microbiome signatures in the REM sleep behavior disorder-Lewy body disease continuum.

Journal of neural transmission (Vienna, Austria : 1996) [Epub ahead of print].

Although systemic inflammation triggered by alterations in microbiota from various body sites has been proposed as a potential mechanism underlying Lewy body diseases (LBDs), the association between the blood microbiome and LBDs remains uncertain. This study aimed to investigate the blood microbiome profiles across the REM sleep behavior disorder (RBD)-LBD continuum and to explore their potential as biomarkers reflecting disease phenotypes and clinical severity. Blood samples were collected from 106 patients across the RBD-LBD continuum, including 41 with isolated RBD (iRBD), 45 Parkinson's disease with probable RBD, and 20 dementia with Lewy bodies with probable RBD, as well as from 94 healthy controls. All patients were evaluated with the Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) and comprehensive neuropsychological tests. Microbiome taxonomic compositions were analyzed using 16 S rRNA metagenomic sequencing. Significant microbial shifts were observed in the RBD-LBD continuum group compared to controls, with reduced microbial alpha diversity and distinct beta diversity patterns. Specifically, the genus Stenotrophomonas was enriched, while the genera Acetobacter, Enhydrobacter, and Lactobacillus were depleted in the RBD-LBD continuum group. The combined model using these genera demonstrated high predictive accuracy for the RBD-LBD continuum, with the area under the receiver-operating-characteristic curve (AUC) of 0.970 (95% confidence interval [CI]: 0.950-0.980). This model also successfully distinguished the iRBD subgroup from controls, achieving an AUC of 0.956 (95% CI, 0.914-0.987). Alpha and beta diversity were significantly associated with MDS-UPDRS Parts I and II scores in the RBD-LBD continuum group. Our findings suggest that patients within the RBD-LBD continuum may share specific blood microbiome signatures.

RevDate: 2025-06-04

Ruan Y, Zhu T, Yang R, et al (2025)

Donor-derived microbial engraftment and gut microbiota shifts associated with weight loss following fecal microbiota transplantation.

Applied and environmental microbiology [Epub ahead of print].

Fecal microbiota transplantation (FMT) is a promising treatment for microbiota dysbiosis and may provide metabolic benefits for obesity. However, its mechanisms and variability in clinical outcomes remain poorly understood. This 12-week multicenter, single-arm study evaluated the efficacy of FMT for weight loss and explored the role of donor-derived microbial engraftment and functional shifts in mediating weight loss among overweight and obese individuals. Twenty-three participants (body mass index ≥24 kg/m[2]) without diabetes received three biweekly FMT sessions via a nasojejunal tube. Fecal samples from participants and donors were analyzed using metagenomic sequencing. By week 12, 52% of participants were classified as responders, achieving significant weight loss of ≥5% from baseline, with an average weight loss of 7.98 ± 2.69 kg (P < 0.001). In contrast, non-responders lost 2.90 ± 1.89 kg (P < 0.001). Responders exhibited a significantly higher proportion of donor-derived microbial strains post-FMT compared to non-responders (37.8% vs 15.2%, P = 0.020). Notably, key taxa, including Phascolarctobacterium (P = 0.034) and Acidaminococcaceae (P = 0.012), increased significantly in abundance in responders post-FMT, indicating successful microbial engraftment as a critical determinant of therapeutic success. These findings suggest that FMT is a viable intervention for weight loss in obese individuals. Successful donor-derived microbial engraftment strongly correlates with weight loss efficacy, highlighting the potential of microbiota-targeted therapies in obesity management and providing insights into the mechanisms underlying FMT outcomes.IMPORTANCEPrior research indicates that fecal microbiota transplantation (FMT) is a promising treatment for diseases related to microbiota imbalance, potentially providing metabolic benefits for obesity. However, the specific role of donor-derived microbial engraftment in driving clinical efficacy has remained unclear. In this study, we evaluated the efficacy of FMT in promoting weight loss and explored the role of donor-derived bacterial strains in this process. Our findings demonstrate that the successful engraftment of specific donor-derived taxa, such as Phascolarctobacterium and Acidaminococcaceae, is strongly associated with significant weight loss. This highlights the critical interplay between donor microbiota and recipient gut environment. These findings underscore the potential of microbiota-targeted therapies as a novel strategy for obesity management.CLINICAL TRIALSThis study is registered with the Chinese Clinical Trial Registry as ChiCTR1900024760.

RevDate: 2025-06-04

Coblentz M, Evans JD, Kothe CI, et al (2025)

Food fermentation in space: Opportunities and challenges.

iScience, 28(4):112189.

Space exploration is expanding, which demands new technologies and enables new scientific questions. Food, as a bridge between disciplines, can bring these fundamental and applied goals together. Here, we investigate whether food fermentation in space is possible and if so, how it compares with fermentation on Earth. We fermented a miso, a traditional Japanese condiment, on the International Space Station over 30 days and compared it with two earthbound controls. Based on environmental metadata, shotgun metagenomics, whole-genome sequencing, untargeted metabolomics, colorimetry, and sensory analysis, we found that overall, the space miso is recognizable as a miso, indicating fermentation in space is possible. We also found some key microbiological and sensory differences in the space miso, which suggest distinctive features of the space environment. These findings can be harnessed to create more flavorful, nourishing foods for long-term space missions and invite further research questions across science, health, technology, and society.

RevDate: 2025-06-04

Zhang E, Breselge S, Carlino N, et al (2025)

A genomics-based investigation of acetic acid bacteria across a global fermented food metagenomics dataset.

iScience, 28(4):112139.

Developing a better understanding of the genomic and metabolic features of acetic acid bacteria (AABs) has the potential to facilitate an improvement of the taste or flavor of fermented foods. Here, we conducted a high-resolution analysis of AABs present in fermented foods based on the investigation of 337 high-quality metagenomic-assembled genomes (MAGs) recovered from 223 metagenomic samples. Firstly, by integrating these MAGs, we built a phylogenetic tree of high-quality MAGs using GTDB-Tk. We found that AABs MAGs from food-related samples and those from other environments are generally phylogenetically distinct, with the majority of those from fermented foods being assigned to a relatively small number of genera. Functional metagenomic analysis also revealed that the fermented food-associated AABs MAGs are associated with the production of carbohydrate-active enzymes, antibiotic resistance genes, and secondary metabolites. Through these investigations, we have gained substantial insights into the diversity, function, and roles of AABs in fermented food microbiomes.

RevDate: 2025-06-04

Wu C, Mi Y, Song J, et al (2025)

The Regulatory Effect of Human Umbilical Cord Mesenchymal Stem Cells on the Gut Microbiota in Diabetic Nephropathy Rats.

Iranian journal of biotechnology, 23(1):.

BACKGROUND: Chronic inflammation is increasingly recognized as a key factor in the progression of diabetic kidney disease (DKD). By discovering that the regulation of gut microbiota plays an important role in diabetic kidney disease, human umbilical cord mesenchymal stem cells (HU-MSCs) explore the mechanism of fibrosis in diabetic kidney disease through the regulation of chronic inflammation, providing new clinical insights for the prediction, diagnosis, and treatment of diabetic kidney disease.

OBJECTIVES: This study explores the regulatory effects of HU-MSCs on gut microbiota and their protective role on the intestinal barrier in diabetic nephropathy rats.

MATERIAL AND METHOD: Diabetic kidney disease (DKD) was induced in SD rats via intraperitoneal injection of streptozotocin. Three groups were established: control group, diabetic kidney disease (DKD) group, and treatment group (DKD+HU-MSCs) (10 rats each). After diabetic kidney disease (DKD) modeling, rats in the treatment group (DKD+HU-MSCs) received 2×10[6] HU-MSCs via tail vein injection weekly for four weeks. Blood, urine, kidney, and colon tissues were collected post-treatment. Pathological changes were observed microscopically; immunohistochemistry detected tight junction proteins ZO-1 and Occludin in colon tissues. DiR-labeled HU-MSCs distribution was assessed with in vivo imaging, and immunohistochemistry evaluated human mesenchymal stem cell markers CD44 and CD90. Fecal samples underwent metagenomic sequencing for gut microbiota analysis.

RESULTS: HU-MSCs transplantation significantly reduced Blood Urea Nitrogen (BUN), Serum Creatinine (SCr), and 24-hour urinary protein levels (all P < 0.05) and improved renal pathology. Markers CD44 and CD90 were present in DKD rat colon tissues. Tight junction proteins Occludin and ZO-1 were decreased in DKD rats but increased following HU-MSCs treatment. Metagenomic analysis showed enhanced abundance of beneficial bacteria (Bifidobacterium and Lactobacillus) with HU-MSCs. Urinary protein was positively correlated with Prevotella and negatively with Ligilactobacillus (p < 0.05).

CONCLUSIONS: HU-MSCs may improve intestinal barrier function in diabetic kidney disease (DKD) rats by restoring gut microbiota structure and increasing intestinal tight junction proteins, offering a potential pathway for enhancing renal function.

RevDate: 2025-06-04

De Chiara L, Doughty R, Estévez-Gómez N, et al (2025)

A Comparison of Methods for the Optimal Recovery of the Human Fecal Virome.

medRxiv : the preprint server for health sciences pii:2025.05.12.25327428.

Human virome studies are gaining attention as viruses are increasingly acknowledged as key modulators of microbial communities and human health. However, viral metagenomics presents distinct challenges, including the low abundance and diversity of viruses in biological samples, the lack of universal marker genes, and protocol-induced biases. Although various virome protocols have been benchmarked using viral particles or nucleic acids from mock communities, these often fail to replicate the complexity and heterogeneity of natural viromes. In this study, we systematically evaluated protocol modifications for the metagenomic analysis of human fecal samples, testing alternatives for viral enrichment, nucleic acid extraction, genome amplification, and library preparation. We assessed the impact of each modification on key inferences, including taxonomic and functional assignment, contig quality, viral diversity, and genome structure. Our results highlight important trade-offs between viral genome recovery and contamination removal, underscoring how methodological choices can shape virome composition. Based on our findings, we propose an optimized protocol that enhances the recovery of viral DNA and RNA genomes while minimizing contamination from non-viral sequences, providing a robust framework for future gut virome studies.

RevDate: 2025-06-04

Patel SM, Farirai J, Patel MZ, et al (2025)

Alterations of the upper respiratory microbiome among children living with HIV infection in Botswana.

medRxiv : the preprint server for health sciences pii:2022.12.19.22283664.

Children living with HIV (CLWH) are at high risk of colonization and infection by bacterial respiratory pathogens, though this risk can be reduced by other microbes in the upper respiratory microbiome. The impact of HIV infection on development of the upper respiratory microbiome during childhood is poorly understood, and we sought to address this knowledge gap by identifying associations between HIV infection and the nasopharyngeal microbiomes of children in Botswana. We enrolled Batswana CLWH (<5 years) and age- and sex-matched HIV-exposed, uninfected (HEU) and HIV-unexposed, uninfected (HUU) children in a cross-sectional study. We used shotgun metagenomic sequencing to compare the nasopharyngeal microbiomes of children by HIV status. Among the 143 children in this study, HIV infection and HIV-associated immunosuppression were associated with alterations in nasopharyngeal microbiome composition, including lower abundances of Corynebacterium species associated with respiratory health. These findings suggest that the upper respiratory microbiome may contribute to the high risk of bacterial respiratory infections among CLWH.

RevDate: 2025-06-04

Strokach A, Zoruk P, Boldyreva D, et al (2025)

Comparative evaluation of sequencing technologies and primer sets for mouse gut microbiota profiling.

Frontiers in microbiology, 16:1584359.

BACKGROUND: Advancements in sequencing technologies, such as Illumina and Oxford Nanopore Technologies (ONT), have significantly improved microbiome research. However, variations in sequencing platforms, primer selection, and DNA quality may influence microbial diversity assessments, particularly in studies of gut microbiota. This study systematically evaluates these factors in mouse gut microbiota analysis, comparing 16S rRNA gene sequencing and metagenome sequencing (MS) across both platforms.

RESULTS: Our findings highlight the critical influence of primer selection on 16S rRNA sequencing results, with certain primer combinations detecting unique taxa that others miss. Despite these variations in taxonomic resolution, all tested primer sets consistently revealed significant differences between experimental groups, indicating that key microbial shifts induced by bacterial cultures remain detectable regardless of primer choice. A comparative analysis of Illumina and ONT 16S rRNA sequencing revealed notable differences in microbial diversity profiling, with ONT capturing a broader range of taxa. In contrast, MS on both platforms showed a high degree of correlation, indicating that ONT sequencing errors have minimal impact on taxonomic diversity estimations. Furthermore, the type of extracted DNA (high molecular weight vs. standard DNA) had little on microbial diversity outcomes, underscoring the robustness of these sequencing technologies.

CONCLUSION: These results highlight the advantages and limitations of different sequencing strategies in microbiota research. While 16S rRNA sequencing remains a cost-effective tool for assessing bacterial diversity, MS provides superior taxonomic resolution and more precise species identification. Our study advocates for a hybrid approach that combines multiple sequencing technologies to achieve a more comprehensive and accurate representation of microbial communities.

RevDate: 2025-06-04
CmpDate: 2025-06-04

Gu J, Ma Y, Chang Q, et al (2025)

Influence of programmed death ligand 1 (PD-L1) knockout on gut microbiota in experimental autoimmune uveitis.

Frontiers in immunology, 16:1600673.

PURPOSE: Programmed death ligand 1 (PD-L1) is a potential target for autoimmune disease therapies. The gut microbiota plays a critical role in autoimmunity, and may influence therapeutic outcomes of immune therapies in cancer. However, the relationship between PD-L1 and gut microbiota in autoimmune conditions remains unclear. This study aims to investigate the effect of PD-L1 knockout on gut microbiota in an experimental autoimmune uveitis (EAU) model.

METHODS: EAU was induced via immunization with interphotoreceptor retinoid-binding protein peptide 651-670 (IRBP651-670) in either wild type (WT) or PD-L1 knockout (KO) C57BL/6J female mice. Sham adjuvant was administered to WT or PD-L1 KO mice as healthy controls. The severity of EAU was evaluated through clinical evaluation and histopathological gradings. The characteristics of gut microbiota was analyzed using metagenomic sequencing.

RESULTS: Each group consisted of three biological replicates. The clinical and histopathological scores of EAU were significantly higher in KO_EAU mice than in WT_EAU mice. WT_EAU mice exhibited lower microbial richness than their healthy controls (WT mice), while PD-L1 KO in EAU mice (KO_EAU group) led to increased richness when compared to wild type EAU mice (WT_EAU group). EAU induced a reduction in the abundance of Akkermansia muciniphila A and an increased in CAG-485 sp002362485. PD-L1 knockout in EAU led to an increased abundance of families Bacteroidaceae, Lachnospiraceae and Ruminococcaceae. EAU was associated with declining microbial tryptophan metabolism and up-regulated functions related to lipid and carbohydrate metabolism; PD-L1 knockout in EAU further increased the metabolism of glycan and biosynthesis of 3-deoxy-α-D-manno-2-octulosonate (Kdo), a key component of bacterial lipopolysaccharide (LPS).

CONCLUSION: Both EAU and PD-L1 knockout modulate gut microbiota, affecting microbial composition - particularly Akkermansia, CAG-485, Bacteroidaceae, Lachnospiraceae and Ruminococcaceae - and microbial functions such as lipid, carbohydrate and glycan metabolism.

RevDate: 2025-06-04

Morra M, Marradi D, Gandini L, et al (2025)

A non-hypothesis-driven practical laboratory activity on functional metagenomics: "fishing" protein-coding DNA sequences from microbiomes.

Frontiers in bioengineering and biotechnology, 13:1602982.

Practical laboratory of the most functional metagenomics courses focuses on activities aimed at providing specific skills in bioinformatics through the analysis of genomic datasets. However, sequence-based analyses of metagenomes should be complemented by function-based analyses, to provide evidential knowledge of gene function. A "true" functional metagenomic approach relies on the construction and screening of metagenomic libraries - physical libraries that contain DNA cloned from metagenomes of various origin. The information obtained from functional metagenomics will help in future annotations of gene function and serve as a complement to sequence-based metagenomics. Here, we describe a simple protocol for the construction of a metagenomic DNA library, optimized and tested by a team of undergraduate biotechnology students. This protocol is based on a technique developed in our laboratory and currently used for research. Using this protocol, libraries of protein domains can be quickly generated, from the DNA of any intron-less genome, such as those of bacteria or phages. Therefore, these libraries provide a valuable platform for training students in various validation tools, including computational methods - for example, metagenome assembly, functional annotation - and proteomics techniques, including protein expression and analysis. By varying the biological source and validation pipeline, this approach offers virtually limitless opportunities for innovative thesis research projects.

RevDate: 2025-06-04
CmpDate: 2025-06-04

Qian LM, Wang SX, Zhou W, et al (2025)

Individualized metagenomic network model for colorectal cancer diagnosis: insights into viral regulation of gut microecology.

Briefings in bioinformatics, 26(3):.

The role of gut microbiota, especially viruses, in colorectal cancer (CRC) pathogenesis remains unclear. This study investigated the interplay between gut microbiota and CRC development. We developed a viral/bacterial sequence analysis pipeline to reanalyze gut metagenomic datasets from eight CRC studies. A multisample co-occurrence network was constructed to delineate microbiota species interconnections. Our analysis confirmed dysbiosis in CRC patients and revealed enrichment of viral species, particularly those hosted by Lactococcus and Escherichia. These viruses were identified as central hubs in the multikingdom interaction network. We developed a network-based model using single sample networks (SSN) that distinguished CRC patients from controls with an area under the curve (AUC) of 0.93. Models combining relative abundance and SSN assessment achieved an AUC of 0.97, outperforming SSN-based models without viral data. This study highlights the crucial role of viruses in the gut microbiome network and their potential as targets for CRC prevention and intervention. Our approach offers a new perspective on noninvasive diagnostic criteria for CRC.

RevDate: 2025-06-04

Li X, Xu L, Demaree B, et al (2025)

Microbiome Single Cell Atlases Generated with a Commercial Instrument.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Epub ahead of print].

Single-cell sequencing is useful for resolving complex systems into their composite cell types and computationally mining them for unique features that are masked in pooled sequencing. However, while commercial instruments have made single-cell analysis widespread for mammalian cells, analogous tools for microbes are limited. Here, EASi-seq (Easily Accessible Single microbe sequencing) is presented. By adapting the single-cell workflow of the commercial Mission Bio Tapestri instrument, this method allows for efficient sequencing of individual microbial genomes. EASi-seq allows tens of thousands of microbes to be sequenced per run and, as it is shown, can generate detailed atlases of human and environmental microbiomes. The ability to capture large genome datasets from thousands of single microbes provides new opportunities in discovering and analyzing species subpopulations. To facilitate this, a companion bioinformatic pipeline is developed that clusters genome by sequence similarity, improving whole genome assembly, strain identification, taxonomic classification, and gene annotation. In addition, the integration of metagenomic contigs with the EASi-seq datasets is demonstrated to reduce capture bias and increase coverage. EASi-seq enables high-quality single-cell genomic sequencing for microbiome samples using a simple workflow run on a commercially available platform.

RevDate: 2025-06-03
CmpDate: 2025-06-04

Gao H, Bai H, Su Y, et al (2025)

Fecal microbiota transplantation from Helicobacter pylori carriers following bismuth quadruple therapy exacerbates alcohol-related liver disease in mice via LPS-induced activation of hepatic TLR4/NF-κB/NLRP3 signaling.

Journal of translational medicine, 23(1):627.

BACKGROUND: Helicobacter pylori infection is common in patients with alcohol-related liver disease (ALD), and bismuth quadruple therapy (BQT) is widely used for eradication. However, its impact on ALD remains unclear. This study aims to characterize BQT-induced gut microbiota alterations in asymptomatic H. pylori carriers and evaluate their effect on an ALD mouse model.

METHODS: Metagenomic sequencing was conducted to assess the gut microbiota composition of individuals before and after BQT. Fecal microbiota transplantation (FMT) from these donors was performed in an ALD mouse model. Gut microbiota in mice was analyzed by 16S rRNA sequencing. Liver and intestinal parameters were assessed using western blot, RT-qPCR, histopathology, ELISA, and flow cytometry.

RESULTS: BQT treatment significantly altered the gut microbiota in H. pylori carriers, increasing the abundance of opportunistic pathogens, including Klebsiella pneumoniae, Escherichia coli, Klebsiella quasipneumoniae, and Klebsiella variicola, while decreasing beneficial bacteria such as Bifidobacterium, Eubacterium, Bacteroides, Faecalibacterium, and Blautia. In ALD mice receiving FMT from post-BQT donors, exacerbated gut dysbiosis was observed, marked by an enrichment of Enterobacteriaceae and Escherichia-Shigella. These microbiota changes were associated with impairment of intestinal barrier integrity, as evidenced by reduced levels of mucins, tight junction proteins, and antimicrobial peptides, along with a decrease in Treg cells and an increase in Th17 and Th1 cells. Additionally, this dysbiosis led to elevated serum lipopolysaccharide (LPS) levels, which activated the hepatic NLRP3 inflammasome pathway and subsequently increased IL-18 and IL-1β levels. Furthermore, liver function and oxidative stress markers, including ALT, AST, MDA, GSSG/GSH ratio, and SOD, were significantly elevated, indicating severe liver dysfunction and increased oxidative stress. Finally, probiotic supplementation effectively mitigated the negative effects of BQT-induced gut microbiota remodeling on ALD in mice.

CONCLUSIONS: BQT markedly alters the gut microbiota in H. pylori carriers, promoting dysbiosis that exacerbates ALD in mice via LPS-mediated activation of hepatic inflammatory pathways. These findings highlight the need for careful consideration of BQT use in ALD patients.

RevDate: 2025-06-03
CmpDate: 2025-06-04

Luo Y, Wu R, Wu W, et al (2025)

Differences in pulmonary microbiota of severe community-acquired pneumonia with different pathogenic microorganisms in children.

BMC pediatrics, 25(1):449.

BACKGROUND: Community-acquired pneumonia (CAP) is the leading cause of hospitalization and death in children under 5 years old. Recently, the number of children with severe CAP (SCAP) has increased significantly, and local or systemic complications may occur. However, changes in the pulmonary microbiota of SCAP with different pathogens and their relationship with the clinical features of SCAP remain unclear.

METHODS: This study collected bronchoalveolar lavage fluid (BALF) from 105 children with SCAP for metagenomics next generation sequencing (mNGS). According to the first pathogen of mNGS, the enrolled children were divided into the Streptococcus pneumoniae (SP), Mycoplasma pneumoniae (MP) and Haemophilus influenzae (HI) groups. We aimed to explore differences in clinical features and pulmonary microbiota of SCAP with different pathogens, and clarify the correlation between pulmonary microbiota and clinical features.

RESULTS: Fever days and the levels of C-reactive protein (CRP), procalcitonin (PCT), lactate dehydrogenase (LDH), D-dimer and heparin-binding protein (HBP) of children in MP group were significantly higher than those in HI group. The level of LDH of children in MP group was significantly higher than that in SP group. The abundance of MP was also positively correlated with fever days and the levels of PCT, LDH and D-dimer. The α diversity of SP group was significantly increased compared to MP group and HI group.

CONCLUSION: Compared to SP-infected and HI-infected children with SCAP, children with SCAP infected with MP tend to have a more intense inflammatory response. The α diversity was higher in the lower airways of children with SCAP and SP infections compared to MP-infected and HI-infected children with SCAP.

RevDate: 2025-06-03

Piccinno G, Thompson KN, Manghi P, et al (2025)

Pooled analysis of 3,741 stool metagenomes from 18 cohorts for cross-stage and strain-level reproducible microbial biomarkers of colorectal cancer.

Nature medicine [Epub ahead of print].

Associations between the gut microbiome and colorectal cancer (CRC) have been uncovered, but larger and more diverse studies are needed to assess their potential clinical use. We expanded upon 12 metagenomic datasets of patients with CRC (n = 930), adenomas (n = 210) and healthy control individuals (n = 976; total n = 2,116) with 6 new cohorts (n = 1,625) providing granular information on cancer stage and the anatomic location of tumors. We improved CRC prediction accuracy based solely on gut metagenomics (average area under the curve = 0.85) and highlighted the contribution of 19 newly profiled species and distinct Fusobacterium nucleatum clades. Specific gut species distinguish left-sided versus right-sided CRC (area under the curve = 0.66) with an enrichment of oral-typical microbes. We identified strain-specific CRC signatures with the commensal Ruminococcus bicirculans and Faecalibacterium prausnitzii showing subclades associated with late-stage CRC. Our analysis confirms that the microbiome can be a clinical target for CRC screening and characterizes it as a biomarker for CRC progression.

RevDate: 2025-06-03
CmpDate: 2025-06-03

Esser SP, Turzynski V, Plewka J, et al (2025)

Differential Expression of Core Metabolic Functions in Candidatus Altiarchaeum Inhabiting Distinct Subsurface Ecosystems.

Environmental microbiology reports, 17(3):e70096.

Candidatus Altiarchaea are widespread across aquatic subsurface ecosystems and possess a highly conserved core genome, yet adaptations of this core genome to different biotic and abiotic factors based on gene expression remain unknown. Here, we investigated the metatranscriptome of two Ca. Altiarchaeum populations that thrive in two substantially different subsurface ecosystems. In Crystal Geyser, a high-CO2 groundwater system in the USA, Ca. Altiarchaeum crystalense co-occurs with the symbiont Ca. Huberiarchaeum crystalense, while in the Muehlbacher sulfidic spring in Germany, an artesian spring high in sulfide concentration, Ca. A. hamiconexum is heavily infected with viruses. We here mapped metatranscriptome reads against their genomes to analyse the in situ expression profile of their core genomes. Out of 537 shared gene clusters, 331 were functionally annotated and 130 differed significantly in expression between the two sites. Main differences were related to genes involved in cell defence like CRISPR-Cas, virus defence, replication, transcription and energy and carbon metabolism. Our results demonstrate that altiarchaeal populations in the subsurface are likely adapted to their environment while influenced by other biological entities that tamper with their core metabolism. We consequently posit that viruses and symbiotic interactions can be major energy sinks for organisms in the deep biosphere.

RevDate: 2025-06-03

Laiola M, Koppe L, Larabi A, et al (2025)

Toxic microbiome and progression of chronic kidney disease: insights from a longitudinal CKD-Microbiome Study.

Gut pii:gutjnl-2024-334634 [Epub ahead of print].

BACKGROUND: The gut microbiota has been linked to non-communicable diseases, including chronic kidney disease (CKD). However, the relationships between gut microbiome composition changes, uraemic toxins (UTs) accumulation, and diet on CKD severity and progression remain underexplored.

OBJECTIVE: To characterise relationships between gut microbiome composition and functionality, UTs diet, and CKD severity and progression, as well as assess microbial contributions to UTs accumulation through mice faecal microbiota transplantation (FMT).

DESIGN: This study profiled the gut microbiome of 240 non-dialysis patients with CKD (CKD-REIN cohort) using shotgun metagenomics, with follow-up in 103 patients after 3 years, with comparisons with healthy volunteers from the Milieu Intérieur cohort. A multiomics approach identifies features associated with CKD severity (and progression), with validation in an independent Belgian cohort. Experimental models used FMT to test CKD gut microbiome effects on UTs and kidney fibrosis. Changes in gut microbiome over time were evaluated, and the impact of diet on these changes was assessed.

RESULTS: Compared with matched healthy controls, patients with CKD exhibited gut microbiota alteration, with enrichment of UT precursor-producing species. Patients with severe CKD exhibited higher UT levels and greater enrichment of UT (precursor)-producing species in the microbiota than patients with moderate CKD. Over time, UT (precursor)-producing species increased, and a plant-based low protein diet appeared to mitigate these changes. FMT from patients with CKD to antibiotic-treated CKD model mice increased serum UT levels and exacerbated kidney fibrosis.

CONCLUSIONS: This study highlights the role of the microbiome and UTs in CKD, suggesting a potential therapeutic target to slow disease progression.

RevDate: 2025-06-03

Lian ZH, You Z, Han PY, et al (2025)

Decoding the virome reveals diverse novel viruses in tree shrews (Tupaia belangeri) in Yunnan Province.

Virologica Sinica pii:S1995-820X(25)00069-0 [Epub ahead of print].

Viruses circulating in small mammals possess the potential to infect humans. Tree shrews are a group of small mammals inhabiting widely in forests and plantations, but studies on viruses in tree shrews are quite limited. Herein, viral metagenomic sequencing was employed to detect the virome in the tissue and swab samples from seventy-six tree shrews that we collected in Yunnan Province. As the results, genomic fragments belonging to eighteen viral families were identified, thirteen of which contain mammalian viruses. Through polymerase chain reaction (PCR) and Sanger sequencing, twelve complete genomes were determined, including five parvoviruses, three torque teno viruses (TTVs), two adenoviruses, one pneumovirus, and one hepacivirus, together with three partial genomes, including two hepatitis E virus and one paramyxovirus. Notably, the three TTVs, named TSTTV-HNU1, TSTTV-HNU2, and TSTTV-HNU3, may compose a new genus within the family Anelloviridae. Notably, TSParvoV-HNU5, one of the tree shrew parvoviruses detected, was likely to be a recombination of two murine viruses. Divergence time estimation further revealed the potential cross-species-transmission history of the tree shrew pneumovirus TSPenV-HNU1. Our study provides a comprehensive exploration of viral diversity in wild tree shrews, significantly enhancing our understanding of their role as natural virus reservoirs.

RevDate: 2025-06-03

Memon FU, Li C, Ahmad S, et al (2025)

Efficiency of microbial fermentation on microbial shifts, enzymatic activity, and transcriptions in black soldier fly larvae during the sugarcane waste conversion.

Environmental pollution (Barking, Essex : 1987) pii:S0269-7491(25)00961-3 [Epub ahead of print].

Sugarcane trash, consisting mainly of dried leaves, tops and cans, is often burned in fields, posing serious risks to human health, contributing to environmental pollution, and depleting soil nutrients. Black soldier fly larvae (BSFL) offer a promising solution for organic waste management by converting it into insect proteins. This study aimed to develop a microbial fermentation method to utilize sugarcane waste as feed for BSFL and investigate underlying mechanisms. Our results revealed that all fermented groups exhibited enhanced growth and developmental performance, with the combination of Bacillus subtilis, Enterococcus faecalis, and Saccharomyces cerevisiae leading to the highest increases in larval body weight, survival rate, substrate conversion efficiency, and protein content compared to the unfermented group. Metagenomic analysis revealed a notable increase in the phylum Firmicutes, along with its beneficial strains such as Bacillus licheniformis, B. safensis, B. pumilus, Cytobacillus kochii, and Lysinibacillus fusiformis, in the gut of BSFL reared on fermented sugarcane waste, leading to improved gut homeostasis and reduced pathogenic loads. Additionally, the BSFL fed with fermented sugarcane waste exhibited high abundances of carbohydrate-active enzymes (CAZymes) involved in cellulose, hemicellulose, and starch degradation at both class and family levels. Transcriptome analysis further indicated the upregulation of key genes associated with key physiological processes, such as carbohydrate metabolism, chitin biosynthesis, and defense mechanisms. Collectively, these findings demonstrate the synergistic potential of microbial fermentation and BSFL for sustainable sugarcane waste management while advancing the understanding of host-microbe-diet interactions in insect-based bioconversion systems.

RevDate: 2025-06-03

Gogokhia L, Tran N, Grier A, et al (2025)

Donor composition and fiber promote strain engraftment in a randomized controlled trial of fecal microbiota transplant for ulcerative colitis.

Med (New York, N.Y.) pii:S2666-6340(25)00134-5 [Epub ahead of print].

BACKGROUND: Fecal microbiota transplantation (FMT) is an emerging treatment for ulcerative colitis (UC), but the impact of prebiotic fiber on FMT efficacy for UC is unclear. We performed a randomized, double-blind, placebo-controlled clinical trial to examine the efficacy of FMT with and without dietary fiber supplementation in patients with UC.

METHODS: 27 patients with mild to moderate UC were randomized to receive a single FMT or placebo with or without psyllium fiber supplementation for 8 weeks. The primary outcome was clinical response at week 8, and secondary outcomes included endoscopic improvement and clinical remission. Metagenomic sequencing of fecal DNA was analyzed to determine taxonomic profiles and donor strain engraftment.

FINDINGS: The trial was terminated early due to manufacturer discontinuation of FMT product. FMT induced clinical response, remission, and endoscopic improvement in UC patients compared to placebo (p < 0.05), but fiber did not improve clinical outcomes of FMT. Recipient microbiome composition post-FMT shifted toward donor composition in responders and non-responders, but the durability of this change was stronger in responders. Clinical response and durable change in microbiome composition following FMT was donor dependent. Strain tracking analysis also demonstrated a donor-dependent variability in the rate of successful engraftment and identified a consortium of engrafted bacteria associated with treatment response or fiber supplementation.

CONCLUSIONS: Single-dose FMT demonstrated clinical efficacy for mild to moderate UC compared to placebo but revealed no benefit of fiber supplementation. These results highlight proof of concept that donor selection and prebiotic fiber can shape strain-level engraftment. This study was registered at ClinicalTrials.gov: NCT03998488.

FUNDING: National Institutes of Health/National Institute of Diabetes and Digestive and Kidney Diseases (R01 DK128257, to R.S.L.).

RevDate: 2025-06-03

Vermote L, Chun BH, Khan SA, et al (2025)

Metagenomic and meta-metabolomic analysis of traditional Korean rice vinegar productions shows a large variability between producers.

International journal of food microbiology, 440:111283 pii:S0168-1605(25)00228-4 [Epub ahead of print].

Cereal vinegars have been used for thousands of years, especially in Asian countries. These vinegars are still produced in a traditional way by a spontaneous, consecutive, alcoholic and acetic acid fermentation process in open vats under non-sterile conditions, which can lead to an unstable and inconsistent flavor and quality. The present study characterized the microbial diversity of complete, traditional Korean rice vinegar productions at two producers (A and B), from steamed rice to rice vinegar, applying high-throughput amplicon-based and shotgun metagenomic sequencing, in combination with meta-metabolomic analysis. Functional analysis based on metagenome-assembled genomes provided insights into the genetic potential of the different microorganisms involved. Producer A used nuruk, a traditional starter, and seed vinegar to start the alcoholic and acetic acid fermentation phases, respectively, which resulted in highly controlled productions even when different fermentation vessels were used. Producer B used only nuruk to start the vinegar productions, and the spontaneous inoculation of acetic acid bacteria did fail in one of the productions. The addition of nuruk resulted in a simultaneous rice starch saccharification and alcoholic fermentation phase characterized by producer-specific moulds, yeasts, and lactic acid bacteria (LAB). During the acetic acid fermentation phase at both producers (a) novel Acetobacter species, related to A. pasteurianus was found. The simultaneous presence of several LAB species made it hard to link them with the production of specific metabolites. Also, the species contributing to ester formation, important for the flavor, was not clear and requires further research.

RevDate: 2025-06-03

Zheng Z, Lyu H, Wang L, et al (2025)

Microplastic biofilm may shape microbial community enriched with antibiotic resistance genes to enhance nitrogen transformation under antibiotic stress.

Journal of hazardous materials, 494:138796 pii:S0304-3894(25)01712-1 [Epub ahead of print].

The response of nitrogen transformation to microplastic biofilm under antibiotics (ATs) stress as well as the interrelationships between functional genes and microorganisms in surface water are not very well understood and need further investigation. This study investigated the response of nitrogen transformation by analyzing changes in various nitrogen forms and explored the interaction between nitrogen transformation functions and antibiotic resistance genes (ARGs) under exposure to ATs (ciprofloxacin (CIP) and tetracycline (TC)) and PVC biofilm. Compared to the control, exposure to mature polyvinyl chloride (PVC) biofilm increased nitrate nitrogen (NO3[-]-N) and ammonia nitrogen (NH4[+]-N) removal by 12.48 % and 8.79 %, with the NO3[-]-N removal rate constant reaching 0.17. However, co-exposure to CIP significantly inhibited nitrogen transformation, reducing the NO3[-]-N removal rate constant to 0.08. In PVC biofilm, more active nitrogen transformation and enhanced horizontal transfer of ARGs led to a stronger positive correlation between nitrogen transformation genes (NTGs) and ARGs. Microorganisms carrying NTGs largely overlapped with ARGs host species, including Hydrogenophaga, Rhodococcus, and Ignavibacterium, which exhibited high abundance of both gene types. This indicated that PVC biofilm facilitated nitrogen transformation under ATs stress by enriching nitrogen transformation microorganisms carrying high ARGs abundance. These results extended knowledge of effects of ATs and microplastics (MPs) on nitrogen transformation in surface water and provided theoretical support for unique ecological effects of microplastic biofilm.

RevDate: 2025-06-03

Achudhan AB, LM Saleena (2025)

In silico analysis to identify novel amidase enzymes from unclassified bacteria present in coal metagenome.

Computational biology and chemistry, 119:108525 pii:S1476-9271(25)00185-9 [Epub ahead of print].

Amidase enzymes are essential for converting amide groups into carboxylic acids, which have a variety of applications in various industries, including food, flavorings, and pharmaceuticals. The purpose of this study is to utilize metagenomic analysis to identify and analyze novel amidase enzymes produced by unclassified bacteria present in the coal. Initially, metagenomic DNA was extracted from coal and sequenced using the Illumina platform. Analysis of the annotated coal metagenomic data revealed two novel amidase enzymes from microorganisms belonging to the unclassified Oxalobacteraceae family and the unclassified Betaproteobacteria class. These enzymes belong to the amidase signature family, as identified using the InterProScan database. The three-dimensional (3D) structures of these enzymes were predicted with high per-residue confidence scores of approximately 97.34 and 95.31 using the neural network-based AlphaFold2. Molecular docking analysis suggested caprolactam has the highest binding affinity with the enzymes. Molecular dynamics simulations were performed for 200 ns to assess the protein stability. The modelled protein Amidase 1 and Amidase 2 complexes showed higher binding free energy and better stability when compared with the PDB database amidase structures. Overall, this study demonstrates the identification of novel enzymes from unclassified bacteria belonging to the amidase signature family through in-silico mining of the coal metagenome. Novel amidase enzymes found in the coal metagenome exhibit good stability and high substrate binding affinity compared to the crystal structures in the PDB, indicating potential applications in various industries.

RevDate: 2025-06-03

Smirnova AV, Verbeke TJ, Furgason CC, et al (2025)

Microbial community development in an oil sands pit lake.

The Science of the total environment, 987:179764 pii:S0048-9697(25)01405-6 [Epub ahead of print].

Surface mining and extraction of oil sands in Canada produces fluid tailings that contain several compounds of concern for the environment. One option for mine reclamation is the construction of Pit Lakes (PLs) to contain and remediate these tailings. Ultimately, PLs should support food webs typical of boreal lakes. From 2015 to 2021, we applied 16S/18S rRNA gene amplicon sequencing and metagenomics to monitor prokaryotic and eukaryotic microbes in the only full-scale PL of the oil sands industry (Base Mine Lake or BML), and compared it to two control environments: a freshwater reservoir unaffected by tailings, and active tailings ponds receiving regular industrial input. Microbial communities in BML were always intermediate to the two control environments based on alpha and beta diversity analyses. BML communities were highly variable with year, season, and water depth, and contained fewer core species than the freshwater reservoir. Several hydrocarbon degraders and sulfur cycling bacteria were identified as indicator species of tailings ponds, while several phototrophs were indicative of freshwater. However, all of these species were abundant in BML, suggesting that the PL supports food webs characteristic of each control environment. Over the 6-year study, the relative abundances of some common freshwater phytoplankton (Cryptomonas, Mychonastes, Trebouxiophyceae, Cyanobium) and heterotrophic bacteria (Sporichthyaceae, Ca. Fonsibacter, Ilumatobacteraceae, Microbacteriaceae, Ca. Planktophila) increased in BML. The results suggest that microbial communities and processes in BML represent an intermediate state between a tailings pond and a natural freshwater system, and did not stabilize within 10 years of its creation.

RevDate: 2025-06-03

Kang MG, Kwak MJ, Kang A, et al (2025)

Metagenome-based microbial metabolic strategies to mitigate ruminal methane emissions using Komagataeibacter-based symbiotics.

The Science of the total environment, 987:179793 pii:S0048-9697(25)01434-2 [Epub ahead of print].

Global warming increasingly threatens organisms in equatorial regions, where temperatures often exceed physiological limits. Rumen methanogens are a major biological source of anthropogenic methane, a potent greenhouse gas. Therefore, ruminal methane mitigation strategies that preserve animal productivity are urgently needed. Our In vitro analysis of Holstein steer rumen fluid-integrating gas production, volatile fatty acid (VFA) profiles, and metagenomic data-demonstrated that kombucha, a fermented beverage, effectively reduces methane emissions by modulating ruminal fermentation. Rumen fluid was incubated for 60 h under three treatments (control, 3-NOP, and kombucha). During the initial 30 h, kombucha reduced methane by 15.07 % compared to the control but was 17.54 % higher than 3-NOP. In the subsequent 30 h, kombucha achieved sustained reductions of 34.72 % versus the control and 26.28 % versus 3-NOP, highlighting its uniquely sustained methane-reducing effect. A metagenomics-guided screening and in vitro validation identified Komagataeibacter intermedius SLAM-NK6B as a key strain underlying the methane-reducing effect of kombucha. The genome of SLAM-NK6B encodes biosynthetic gene clusters for cellulose, malate, citrate, and methanobactin-metabolites that can modulate the rumen microbiota. SLAM-NK6B supplementation reduced methanogen abundance by 53.32 % and increased hydrogen pressure, shifting microbial metabolism. Excluding acetate, VFA production increased significantly, with propionate levels elevated by 15.39-43.81 %. Metagenomic data further indicated activation of alternative hydrogen sink pathways, including citrate-to-propionate and malate-to-propionate conversions. This study proposes a novel microbial metabolic strategy for methane mitigation, enabling both methane reduction and enhanced fermentation efficiency. Such metabolic guidance of the rumen microbiome offers a sustainable approach to low-emission ruminant production.

RevDate: 2025-06-03
CmpDate: 2025-06-03

Quoc NB, Nhu LTT, NNB Chau (2025)

Identification of diet resources of big-eyed bug Geocoris ochropterus (Fieber) (Hemiptera: Geocoridae) by multiplex PCR and shotgun metagenomic approaches.

Molecular biology reports, 52(1):537.

BACKGROUND: Big-eyed bugs (Geocoris spp.) are important generalist predators in agricultural ecosystems, playing a crucial role in natural pest control.

METHODS: To better understand their dietary sources, we assessed the plant and animal food sources in the gut of Geocoris ochropterus using multiplex PCR and shotgun metagenomic analysis. The PCR assays targeted genetic markers from both animal (COI) and plant (matK and rbcL) DNA.

RESULTS: Results revealed the presence of both animal and plant-derived DNA in the gut samples, indicating that Geocoris ochropterus feeds on a mixed diet. Additionally, the results of shotgun metagenomic sequencing of the gut microbiota showed a predominance of Eukaryota, with over 80% of sequences belonging to this domain, while a diverse range of taxonomic groups were identified, including arthropods, plants, bacteria, and fungi. Arthropods particularly insects from the orders Lepidoptera, Hemiptera, Hymenoptera, Coleoptera, Phasmatodea and plants belonging to the orders Brassicales, Cucurbitales, and Poales constituted the most abundant dietary components. At the genus level, notable taxa included Maniola (family Nymphalidae), Carposina (Carposinidae), Helicoverpa (Noctuidae), and Solanum (Solanaceae). Species-level analysis confirmed the dominance of several insect species, including Maniola hyperanthus, Carposina sasakii, and Bombyx mori, alongside plant species such as Cucumis melo, Gossypium hirsutum, and Digitaria exilis.

CONCLUSIONS: These findings provide a comprehensive characterization of the diet of Geocoris ochropterus, highlighting its role as a generalist predator with a diverse diet consisting of both insect and plant food sources. This study contributes to the understanding of Geocoris ochropterus as a potential biocontrol agent in agricultural systems.

RevDate: 2025-06-03

Wang Y, Pan Z, Shi Y, et al (2025)

MnOxGeneTool: A Comprehensive Tool for Identifying and Quantifying Mn(II)-Oxidizing Genes, Revealing Phylogenetic Diversity and Environmental Drivers of Mn(II)-Oxidizers.

Environmental science & technology [Epub ahead of print].

Manganese (Mn) oxides are crucial for degrading organic pollutants and driving biogeochemical cycles. Microorganisms drive Mn(II) oxidation, but traditional cultivation-dependent identification methods are inefficient and error-prone. To overcome these limitations, we developed MnOxGeneTool, a bioinformatics tool for identifying and quantifying Mn(II)-oxidizing genes from genomic and metagenomic data. MnOxGeneTool consists of three main components: (1) a curated database of known Mn(II)-oxidizing proteins and their homologues, (2) a hidden Markov models (HMMs) database derived from this protein data set, and (3) a computational pipeline that integrates bioinformatics tools (e.g., HMMER and BLASTX) to identify and quantify Mn(II)-oxidizing genes. We assessed the accuracy and sensitivity of these HMMs through cross-validation, demonstrating their effectiveness in identifying Mn(II)-oxidizing genes in bacterial genomes. Using MnOxGeneTool, we explored the phylogenetic diversity of Mn(II)-oxidizers and identified 824 bacterial genera containing Mn(II)-oxidizing genes, significantly expanding previous knowledge in this field. Additionally, we analyzed metagenomic data from various environments to explore environmental drivers of Mn(II)-oxidizing genes, identifying two potential drivers: oligotrophic conditions and alkaline environments. These findings enable targeted discovery of novel Mn(II)-oxidizers and genetic determinants through identification of their ecological niches and expression optima, thereby expanding MnOxGeneTool's predictive coverage of uncatalogued Mn(II)-oxidizing proteins. By providing an innovative bioinformatics tool that enables efficient identification and quantification of Mn(II)-oxidizing genes from both genomic and metagenomic data, this study offers significant advancements in the research of biogenic Mn(II) oxidation. The tool is available at https://github.com/wyh19990121/MnOxGeneTool.

RevDate: 2025-06-03

Qush A, Assaad N, Alkhayat FA, et al (2025)

Insects in agricultural greenhouses: a metagenomic analysis of microbes in Trialeurodes vaporariorum infesting tomato and cucumber crops.

Frontiers in plant science, 16:1581707.

INTRODUCTION: With the predicted 9-10 billion world population increase by 2050 and its accompanying need for sustainable food production, and with the harsh climate conditions challenging agriculture and food security in many countries world-wide, employing "horticultural protected cultivation practices" in farming for seasonal and off-seasonal crop production is on the rise, among which is the use of agricultural greenhouses. The importance of greenhouse farming has been, indeed, evident by the perceived increase in year-round crops production, curtail in production risks, upsurge in agricultural profits, outreaching food stability and security in many countries globally. Yet, and despite this acknowledged success of employing greenhouses in farming, many constraints, including the presence of insect pests, still chaperoned this practice over the years, significantly impacting crop quality and production.

METHODS: As such, we assessed in this study the status of "insect pests" in the greenhouse model by collecting insects from different greenhouse sectors grown with tomatoes and cucumbers and identified the collected insects using relevant identification keys. To further explore the pest paradigm in greenhouses, we then focused on particularly studying Trialeurodes vaporariorum (TRIAVA), a key insect species among the collected and identified insects in the studied greenhouse model and a significant pest with an impactful effect on many crops worldwide. To do so, we traced the abundance of TRIAVA in the tomato and cucumber grown greenhouse sectors over the period of the study, analyzed its metagenome and associated its abundance with crop yield.

RESULTS AND DISCUSSION: Our findings revealed TRIAVA hosted microbes with aptitudes to either serve as symbiotic microorganisms and protect TRIAVA against pathogens or to potentially cause damage to crops. This work provides additional insight into the insect pests paradigm in greenhouses, an upshot that could serve integrated insect pest management strategies in greenhouses for optimal agricultural practices.

RevDate: 2025-06-02
CmpDate: 2025-06-03

Kocharovskaya Y, Delegan Y, Sevostianov S, et al (2025)

Metagenomic Analysis of Pulp and Paper Wastes and Prospects for Their Self-purification.

Current microbiology, 82(7):320.

Thousands of tons of waste accumulate, as a result of the activities of the pulp and paper industry, which is often stored in the form of dumps. However, intensifying the use of lignocellulose for more efficient bioremediation remains highly challenging. Therefore, the study of microbiomes with potentially desirable characteristics for the decomposition of pulp and paper wastes is currently an important task. In this study, a comprehensive assessment of the microbiota biodiversity of these dumps was carried out using high-throughput, high-resolution sequencing. In study 472 million high-quality clean reads assembled into 6,413,337 contigs with a total length of 4306 Mb, of which 3,633,174 open reading frames (ORFs) were identified. The core microbiome was composed of four phyla from Proteobacteria, Actinobacteria, Bacteroidetes, and Verrucomicrobia. Representatives of phylum Proteobacteria prevailed in samples. Annotation using the KEGG database in the Metabolism category resulted in 654,234 ORFs and 5138 ORFs encoding enzymes/proteins involved in degradation of lignocellulose which formed main pool of the wastes. By use of the created database, the search for lignocellulose degradation genes showed that genera Shewanella, Achromobacter, and Delftia covered significant part of the reads. The results indicate that the established microbiome of local landfills can be considered as an important source for improving lignocellulose bioremediation, provided that lignocellulosic fungi are sufficiently active. In whole, these new data can be used as a scientific basis to form an efficient eco-biotechnology for auto-remediation of pulp and paper industry waste.

RevDate: 2025-06-02
CmpDate: 2025-06-02

Zhou XQ, Chen KH, Yu RQ, et al (2025)

Microbial potential to mitigate neurotoxic methylmercury accumulation in farmlands and rice.

Nature communications, 16(1):5102.

Toxic methylmercury (CH3Hg[+]) is produced by microbial conversion of inorganic mercury in hypoxic environments such as rice paddy soils, and can accumulate in rice grains. Although microbial demethylation has been recognized as a crucial pathway for CH3Hg[+] degradation, the identities of microbes and pathways accountable for CH3Hg[+] degradation in soil remain elusive. Here, we combine [13]CH3Hg[+]-DNA stable-isotope probing experiments with shotgun metagenomics to explore microbial taxa and associated biochemical processes involved in CH3Hg[+] degradation in paddy and upland soils. We identify Pseudarthrobacter, Methylophilaceae (MM2), and Dechloromonas as the most significant taxa potentially engaged in the degradation of [13]CH3Hg[+] in paddy soil with high mercury contamination. We confirm that strains affiliated with two of those taxa (species Dechloromonas denitrificans and Methylovorus menthalis) can degrade CH3Hg[+] in pure culture assays. Metagenomic analysis further reveals that most of these candidate [13]CH3Hg[+] degraders carry genes associated with the Wood-Ljungdahl pathway, dicarboxylate-hydroxybutyrate cycle, methanogenesis, and denitrification, but apparently lack the merB and merA genes involved in CH3Hg[+] reductive demethylation. Finally, we estimate that microbial degradation of soil CH3Hg[+] contributes to 0.08-0.64 fold decreases in CH3Hg[+] accumulation in rice grains across China (hazard quotient (HQ) decrements of 0.62-13.75%). Thus, our results provide insights into microorganisms and pathways responsible for CH3Hg[+] degradation in soil, with potential implications for development of bioremediation strategies.

RevDate: 2025-06-02
CmpDate: 2025-06-02

Wen M, Liu Y, Feng CY, et al (2025)

Differences of key processes in soil nitrogen cycling and their driving factors under different land-use types.

Ying yong sheng tai xue bao = The journal of applied ecology, 36(5):1387-1397.

To investigate the responses and drivers of soil microbial nitrogen (N)-cycling functional genes under different land-use types, we analyzed five representative ecosystems in the Yellow River alluvial plain: Tamarix chinensis forests, Fraxinus chinensis forests, grasslands, wetlands, and farmlands. With metagenomic sequencing, we quantified the relative abundances of 22 functional genes associated with six critical N-cycling processes. Soil physicochemical properties were characterized. There were significant variations in soil nitrogen (N)-cycling functional gene abundances across land-use types. Wetlands exhibited the highest relative abundances of nitrogen fixation (1.28×10[-5]), nitrification (4.91×10[-4]), and denitrification (7.03×10[-4]) genes, but the lowest assimilatory nitrate reduction potential (1.84×10[-4]). Farmlands showed maximal assimilatory nitrate reduction gene abundance (3.31×10[-4]), while grasslands dominated in ammonification gene expression (2.35×10[-4]), significantly higher than other ecosystems. T. chinensis forests maintained the most constrained N-cycling profile, with minimal nitrification (2.77×10[-4]) and denitrification (5.25×10[-4]) relative gene abundances. Redundancy analysis identified soil total nitrogen, organic carbon, total potassium, and electrical conductivity as the key environmental drivers of these variations. Our findings demonstrated that land-use types could shape microbial N-cycling functional gene abundances by altering soil nutrient conditions, with consequence on fundamental processes of soil nitrogen transformation.

RevDate: 2025-06-02

Nayyar J, Bedu-Ferrari C, Patangia D, et al (2025)

Gut and oral microbial profile associations to oral cancer.

Journal of dentistry pii:S0300-5712(25)00292-1 [Epub ahead of print].

The human microbiome is widely known to be associated with health and disease. The oral microbiome has been linked with oral diseases and infections, though not many studies have explored the relation between oral and gut microbiome with oral cancer based on lesion histology METHODS: This study uniquely explores the oral and gut microbiota in 30 participants (n=30) divided into three groups based on histology; Benign (B) (n=15), Potentially Malignant (PM) (n=8), and Malignant (M) (n=7) oral lesions. Using shotgun metagenomic sequencing, we analysed microbiota profiles to determine their potential as biomarkers for oral malignancy RESULTS: Distinct gut microbial profiles were observed between Benign and Malignant groups and the association of specific microbes in oral saliva, such as Haemophilus parainfluenzae, Veillonella parvula, Fusobacterium nucleatum and Rothia mucilaginosa were strongly associated with malignancy CONCLUSION: The data from this exploratory study suggest that oral and gut microbiomes could act as possible biomarkers and aid in early detection and assessment of oral cancer risk. With regard to potentially malignant lesions, future research could study individual Oral Potentially Malignant Disorders (OPMDs) as distinct entities due to the wide variation in clinical and histological presentation. Further research is required to develop definitive biomarkers in both potentially malignant and malignant oral lesions CLINICAL SIGNIFICANCE: While smoking and alcohol are known risk factors for oral cancer, a biomarker such as the saliva/stool microbiome profile could help identify a risk indicator or a potential risk factor. Additionally such a biomarker could help identify patients with OPMDs that are likely to undergo malignant transformation.

RevDate: 2025-06-02

Zhao F, Yang Z, Wang J, et al (2025)

Enantioselective effects of chiral antibiotics on antibiotic resistance gene dissemination and risk in activated sludge.

Bioresource technology pii:S0960-8524(25)00715-1 [Epub ahead of print].

Misuse of antibiotics drives the spread of antibiotic resistance genes (ARGs). Although reducing residual antibiotic concentrations can help curb ARG proliferation, the biodegradation and transformation of antibiotic stereoisomers may exacerbate resistance development. However, the impact of antibiotic enantiomers on ARG proliferation remains poorly understood. This study employed metagenomic analysis to investigate the enantiomer-specific selection and resistance risks of chiral antibiotic ofloxacin (OFL) and its (S)-enantiomer, levofloxacin (LEV), in activated sludge. Results showed that LEV primarily promoted the enrichment of ARGs related to aminoglycoside and mupirocin resistance by selecting for pathogenic bacteria carrying virulence factors under high toxicity stress. OFL-driven ARG proliferation involved more diverse mechanisms, including increased gene mobility, co-selection with heavy metals, broader host range, and elevated pathogenicity. The antibiotic resistome risk index (ARRI) further demonstrated a higher environmental risk under OFL treatment than LEV. These findings offer critical insights into the enantioselective resistance risks posed by chiral antibiotics.

RevDate: 2025-06-02

Fetters AM, Cantalupo PG, Robles MTS, et al (2025)

Sharing Pollinators and Viruses: Virus Diversity of Pollen in a Co-Flowering Community.

Integrative and comparative biology pii:8155231 [Epub ahead of print].

Co-flowering plant species frequently share pollinators, flower-inhabiting bacteria, and fungi, but whether pollen-associated viruses are shared is unknown. Given that pollen-associated viruses are sexually transmitted diseases, their diversity is expected to increase with pollinator sharing. We conducted a metagenomic study to identify pollen-associated viruses from 18 co-flowering plant species to determine whether 1) life history, floral traits, or pollination generalism were associated with viral richness, and 2) plants shared pollen-associated viruses. We demonstrated that pollination generalism influences pollen-associated virus richness and the extent of pollen virus sharing between plant species. We also revealed that perenniality, multiple flowers, and bilateral floral symmetry were associated with high pollen viral richness locally, confirming and extending patterns observed previously at a continental scale. Our results highlight the importance of plant-pollinator interactions as drivers of plant-viral interaction diversity.

RevDate: 2025-06-02

Qayyum H, Raziq MF, Manzoor H, et al (2025)

Efficient De Novo Assembly and Recovery of Microbial Genomes from Complex Metagenomes Using a Reduced Set of k-mers.

Interdisciplinary sciences, computational life sciences [Epub ahead of print].

De novo assembly and genome binning are fundamental steps for genome-resolved metagenomics analyses. However, the availability of limited computational resources and extensive processing time limit the broader application of these analyses. To address these challenges, the optimization of the parameters employed in these processes can improve the effective utilization of available metagenomics tools. Therefore, this study tested three sets of k-mers (default, reduced, and extended) for their efficiency in metagenome assembly and suitability in recovering metagenome-assembled genomes. The results demonstrate that the reduced set of k-mers outperforms the other two sets in computational efficiency and the quality of results. The assemblies from the default set are comparable with those from the reduced set; however, less complete and highly contaminated metagenome-assembled genomes are obtained at the expense of higher processing time. The extended set of k-mers yields less contiguous but computationally expensive assemblies. This set takes approximately 3-times more processing time than the reduced k-mers and recovers the lowest proportions of high and medium-quality metagenome-assembled genomes. Contrarily, the reduced set produces better assemblies, substantially improving the number and quality of the recovered metagenome-assembled genomes in significantly reduced processing time. Validation of the reduced k-mer set on previously published metagenome datasets further demonstrates its effectiveness not only for human metagenomes but also for the metagenomes of environmental origin. These findings underscore that the reduced k-mer set is optimal for efficient metagenome analyses of varying complexities and origins. This optimization of the k-mer set used in metagenome assemblers significantly reduces computational time while improving the quality of the assemblies and recovered metagenome-assembled genomes. This efficient solution will facilitate the widespread application of genome-resolved analyses, even in resource-limited settings, and help the recovery of better-quality metagenome-assembled genomes for downstream analyses.

RevDate: 2025-06-02

Hu J, Yu W, Cui J, et al (2025)

Recent advances in diagnostic technologies for postoperative central nervous system infections: a review.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology [Epub ahead of print].

Postoperative central nervous system infections (PCNSIs), including meningitis, cerebral abscesses, and implant-associated infections, represent critical complications following neurosurgical procedures. These infections pose significant risks to patient outcomes due to delayed diagnosis, escalating antimicrobial resistance, and limited therapeutic efficacy. Conventional diagnostic approaches, such as cerebrospinal fluid (CSF) analysis, microbial cultures, and neuroimaging, exhibit notable limitations in sensitivity, specificity, and rapidity. This review highlights transformative technologies reshaping PCNSI diagnostics, including molecular assays (e.g., quantitative PCR, digital droplet PCR), metagenomic next-generation sequencing (mNGS), CRISPR-based pathogen detection platforms, metabolomics, and advanced molecular imaging modalities. Furthermore, we address translational challenges in clinical adoption, including cost barriers, standardization gaps, and the need for interdisciplinary collaboration. Emerging artificial intelligence (AI)-driven strategies are proposed to optimize pathogen identification, predict antimicrobial resistance profiles, and tailor personalized therapeutic regimens.

RevDate: 2025-06-02
CmpDate: 2025-06-02

da Silva AF, GL Wallau (2025)

Bioinformatic Identification of Viral Genomes from High-Throughput Metagenomic Sequencing Data.

Methods in molecular biology (Clifton, N.J.), 2927:1-22.

Virus identification has historically been performed through cell culture isolation and low-throughput methodologies that are limited often requiring previous information about the investigated viruses. These classical virological methods have been pivotal to many discoveries, but overall, they have a limited capacity for characterization of highly divergent and novel viruses. Nowadays, new technologies such as next-generation sequencing have revolutionized the virology field, enabling unbiased high-throughput viral genome characterization. But although the sequencing bottleneck has been surpassed, we could not say the same for the bioinformatics bottleneck of fishing new viral genomes from these large datasets littered with host and other microbes sequencing data. Here, we describe a bioinformatic framework to process metagenomic or metatranscriptomic data, aiming to assemble, identify, and study the evolutionary relationship of viral sequences and genomes.

RevDate: 2025-06-02

Pfister CA, Berlinghof J, Bogan M, et al (2025)

Evolutionary history and association with seaweeds shape the genomes and metabolisms of marine bacteria.

mSphere [Epub ahead of print].

UNLABELLED: Seaweeds harbor a rich diversity of bacteria, providing them with metabolic resources and a surface for attachment and biofilm development. The host's unique environment potentially shapes the bacterial genomes and promotes adaptations for a symbiotic lifestyle. To investigate whether the genomes of seaweed-associated bacteria are genetically and metabolically distinct from their close free-living relatives in seawater, we compared both the seaweed-associated and free-living counterparts of 72 bacterial genera across 16 seaweed hosts using whole-genome sequences or high-quality metagenome-assembled genomes. While taxonomic affiliation strongly influenced genome characteristics such as GC content, gene number, and size, host association had a lower effect overall. A reduced genome size was suggested only in Nereocystis luetkeana-associated microbes, while only Ascophyllum nodosum-associated bacteria had an increased GC content. Metabolic adaptations were indicated from the genomes of seaweed-associated bacteria, including enriched pathways for B vitamin production, complex carbohydrate utilization, and amino acid biosynthesis. In particular, Flavobacteriia showed the most pronounced differences between host-associated and free-living strains. We further hypothesized that bacteria associated with seaweed might have evolved to complement their host's metabolism and tested this inference by analyzing the genomes of both the seaweed Ectocarpus subulatus and its 28 bacterial associates but found no evidence for such complementarity. Our analyses of 72 paired bacterial genomes highlighted significant metabolic differences in seaweed-associated strains with implications for carbon, nitrogen, and sulfur cycling in the coastal ocean.

IMPORTANCE: We hypothesized that the unique environment of seaweeds in coastal oceans shapes bacterial genomes and promotes a symbiotic lifestyle. We compared the genomes of bacteria isolated from seaweed with bacteria from the same genus found free-living in seawater. For genome features that included the number of genes, the size of the genome, and the GC content, taxonomy was of greater importance than bacterial lifestyle. When we compared metabolic abilities, we again found a strong effect of taxonomy in determining metabolism. Although several metabolic pathways differed between free-living and host-associated bacteria, this was especially prominent for Flavobacteriia in the phylum Bacteroidota. Notably, bacteria living on seaweeds had an increased occurrence of genes for B vitamin synthesis, complex carbohydrate use, and nitrogen uptake, indicating that bacterial genomes reflect both their evolutionary history and the current environment they inhabit.

RevDate: 2025-06-02

Millard SA, Vendrov KC, Young VB, et al (2025)

Host origin of microbiota drives functional recovery and Clostridioides difficile clearance in mice.

mBio [Epub ahead of print].

UNLABELLED: Colonization resistance provided by the gut microbiota is essential for resisting both initial Clostridioides difficile infection (CDI) and potential recurrent infection (rCDI). Although fecal microbiota transplantation (FMT) has been successful in treating rCDI by restoring microbial composition and function, mechanisms underlying the efficacy of standardized stool-derived products remain poorly understood. Using a combination of 16S rRNA gene-based and metagenomic sequencing alongside metabolomics, we investigated microbiome recovery following FMT from human and murine donor sources in a mouse model of rCDI. We found that a human-derived microbiota was less effective in clearing C. difficile compared to a mouse-derived microbiota, despite recovery of taxonomic diversity, compositional changes, and bacterial functions typically associated with clearance. Metabolomic analysis revealed deficits in secondary metabolites compared to those that received murine FMT, suggesting a functional remodeling between human microbes in their new host environment. Collectively, our data revealed additional environmental, ecological, or host factors to consider in FMT-based recovery from rCDI.

IMPORTANCE: Clostridioides difficile is a significant healthcare-associated pathogen, with recurrent infections presenting a major treatment challenge due to further disruption of the microbiota after antibiotic administration. Despite the success of fecal microbiota transplantation (FMT) for the treatment of recurrent infection, the mechanisms mediating its efficacy remain underexplored. This study reveals that the effectiveness of FMT may be compromised by a mismatch between donor microbes and the recipient environment, leading to deficits in key microbial metabolites. These findings highlight additional factors to consider when assessing the efficacy of microbial-based therapeutics for C. difficile infection (CDI) and other conditions.

RevDate: 2025-06-02
CmpDate: 2025-06-02

Lynch LE, Lahowetz R, Maresso C, et al (2025)

Present and future of microbiome-targeting therapeutics.

The Journal of clinical investigation, 135(11):.

A large body of evidence suggests that single- and multiple-strain probiotics and synbiotics could have roles in the management of specific gastrointestinal disorders. However, ongoing concerns regarding the quality and heterogeneity of the clinical data, safety in vulnerable populations, and the lack of regulation of products containing live microbes are barriers to widespread clinical use. Safety and regulatory issues must be addressed and new technologies considered. One alternative future strategy is the use of synthetic bacterial communities, defined as manually assembled consortia of two or more bacteria originally derived from the human gastrointestinal tract. Synthetic bacterial communities can model functional, ecological, and structural aspects of native communities within the gastrointestinal tract, occupying varying nutritional niches and providing the host with a stable, robust, and diverse gut microbiota that can prevent pathobiont colonization by way of colonization resistance. Alternatively, phage therapy is the use of lytic phage to treat bacterial infections. The rise of antimicrobial resistance has led to renewed interest in phage therapy, and the high specificity of phages for their hosts has spurred interest in using phage-based approaches to precisely modulate the microbiome. In this Review, we consider the present and future of microbiome-targeting therapies, with a special focus on early-life applications, such as prevention of necrotizing enterocolitis.

RevDate: 2025-06-02

Rosam K, Steixner S, Bauer A, et al (2025)

Non-conventional diagnostic methods for invasive fungal infections.

Expert review of molecular diagnostics [Epub ahead of print].

INTRODUCTION: Biomarkers have revolutionized the field of fungal diagnostics by enabling early detection, risk assessment, and monitoring treatment response. Their value in clinical practice is influenced by a wide range of determinants including diagnostic performance (sensitivity and specificity), predictive value in diverse patient groups, host immune status and comorbidities, technical standardization and antifungal treatment.

AREA COVERED: This review provides a comprehensive overview of the current antigen and DNA-based methods used for the detection of invasive fungal infections (IFIs), with a particular focus on the clinically significant pathogens Aspergillus spp. Candida spp. and Mucorales. It examines the advantages and limitations of the available diagnostic tools, emphasizing their role in early detection, specificity, and clinical application.

EXPERT OPINION: The selection of fungal biomarkers should be tailored based on the patient population, the clinical setting, and the type of fungal infection suspected. Using a combination of biomarkers often improves diagnostic accuracy, particularly in high-risk populations like hematologic malignancy patients. Fungal biomarkers do not provide definitive proof of an active fungal infection; instead, they serve as indirect indicators of the presence of fungal components. Their primary role is to support the diagnosis, assess risk, and guide clinical decisions, but they must be interpreted within the broader clinical context to follow current guidelines for diagnosing fungal infections (EORTC/MSG).

RevDate: 2025-06-02

Xu J, Li Y, Wang X, et al (2025)

Case Report: A Case of Visceral Leishmaniasis Misdiagnosed as Brucellosis.

Infection and drug resistance, 18:2673-2677.

Visceral leishmaniasis (VL) is an infectious disease caused by protozoan parasites of the genus Leishmania and transmitted through the bites of infected female sandflies. Due to its nonspecific clinical presentation, VL is prone to misdiagnosis and underdiagnosis. Though rare, VL is endemic in regions of Africa, South America, Asia, and parts of Europe, including the Mediterranean. This report describes a case of VL initially misdiagnosed as brucellosis due to a history of close contact with sheep. The patient tested negative for brucellosis via serum agglutination, blood culture, and bone marrow smear, and showed no improvement with a combination of omadacycline and rifampin therapy. Definitive diagnosis was achieved through metagenomic next-generation sequencing (mNGS) and confirmation with the rk39 antigen test. The patient was successfully treated with amphotericin B cholesterol sulfate complex and recovered fully. This case highlights the need to consider rare pathogens when epidemiological history and clinical response to treatment are incongruent and emphasizes the value of mNGS in timely diagnosis of VL.

RevDate: 2025-06-02

Du R, Mao H, Li WM, et al (2025)

Case Report: Empyema secondary to percutaneous transthoracic needle biopsy in three cases.

Frontiers in medicine, 12:1531909.

Percutaneous transthoracic needle biopsy (PTNB) is a widely utilized diagnostic procedure for pulmonary lesions, with the current literature predominantly documenting pneumothorax and hemorrhage as primary complications. While empyema represents a rare complication, its clinical implications warrant special attention. In this study, we report the cases of three patients with unidentified pulmonary masses who developed empyema after PTNB. All cases exhibited fever (24-48 h post-procedure) and radiographic evidence of pleural effusion progression shortly after the procedure, which was successfully managed through pleural drainage and antibiotic treatment. These findings suggest that pre-procedural infectious foci may be prone to iatrogenic pleural seeding during PTNB. This report emphasizes the necessity of monitoring infectious indicators in patients undergoing biopsy of cavitary or necrotic lesions. Physicians should exercise caution when puncturing lumps suspected of abscesses and remain vigilant for empyema secondary to PTNB if the patient shows signs of infection.

RevDate: 2025-06-02

Ma R, Yin Y, Zhang JP, et al (2025)

Metagenomic Next-generation Sequencing Compared With Blood Culture as First-line Diagnostic Method for Bloodstream Infection in Hematologic Patients With Febrile Neutropenia: A Multicenter, Prospective Study.

Open forum infectious diseases, 12(6):ofaf288.

Bloodstream infection (BSI) is a frequent but lethal complication in hematologic patients with febrile neutropenia (FN). However, blood culture (BC) only detects an organism in 20%-30% of patients with FN. We aimed to evaluate the diagnostic performance of metagenomic next-generation sequencing (mNGS) as a first-line diagnostic method in BSI. This study was prospectively performed in 4 Chinese hematologic centers. In patients aged ≥15 years with hematologic diseases, peripheral blood specimens were collected per patient for simultaneous BC and mNGS at the onset of FN. The clinical physician and mNGS analysis team were double-blinded, and the adjudication of the clinical diagnosis was evaluated by another expert panel of 4 specialists. The primary endpoint of this study was the diagnostic performance of mNGS. This study was registered on ClinicalTrials.gov. Three hundred FN events were enrolled, including 62 definite BSI, 61 probable BSI, 116 infectious FN other than BSI, 55 noninfectious FN events, and 6 FN of indeterminate cause. Among 62 definite BSI cases, mNGS identified causative pathogens in 59 (95.2%). Concurrent BC initially detected pathogens in 59 cases, and 3 additional pathogens consistent with mNGS were later identified in repeated BC testing. The sensitivity, specificity, positive predictive value, and negative predictive value of mNGS were 95.2%, 94.6%, 95.2%, and 94.6%, respectively. The diagnostic time of mNGS was significantly shorter than that of BC (39.7 ± 15.0 vs 119.8 ± 31.9 hours, P < .0001). The findings suggest that the mNGS approach has excellent diagnostic performance for the first-line diagnosis of BSI in patients with FN. The study will promote early diagnosis and better management of the patients.

RevDate: 2025-06-02

Zhou J, Kamau E, Q Wei (2025)

Editorial: Targeted metagenomics in pathogen detection.

Frontiers in cellular and infection microbiology, 15:1612802.

RevDate: 2025-06-01
CmpDate: 2025-06-01

Francioli D, Kampouris ID, Kuhl-Nagel T, et al (2025)

Microbial inoculants modulate the rhizosphere microbiome, alleviate plant stress responses, and enhance maize growth at field scale.

Genome biology, 26(1):148.

BACKGROUND: Field inoculation of crops with beneficial microbes is a promising sustainable strategy to enhance plant fitness and nutrient acquisition. However, effectiveness can vary due to environmental factors, microbial competition, and methodological challenges, while their precise modes of action remain uncertain. This underscores the need for further research to optimize inoculation strategies for consistent agricultural benefits.

RESULTS: Using a comprehensive, multidisciplinary approach, we investigate the effects of a consortium of beneficial microbes (BMc) (Pseudomonas sp. RU47, Bacillus atrophaeus ABi03, Trichoderma harzianum OMG16) on maize (Zea mays cv. Benedictio) through an inoculation experiment conducted within a long-term field trial across intensive and extensive farming practices. Additionally, an unexpected early drought stress emerged as a climatic variable, offering further insight into the effectiveness of the microbial consortium. Our findings demonstrate that BMc root inoculation primarily enhanced plant growth and fitness, particularly by increasing iron uptake, which is crucial for drought adaptation. Inoculated maize plants show improved shoot growth and fitness compared to non-inoculated plants, regardless of farming practices. Specifically, BMc modulate plant hormonal balance, enhance the detoxification of reactive oxygen species, and increase root exudation of iron-chelating metabolites. Amplicon sequencing reveals shifts in rhizosphere bacterial and fungal communities mediated by the consortium. Metagenomic shotgun sequencing indicates enrichment of genes related to antimicrobial lipopeptides and siderophores.

CONCLUSIONS: Our findings highlight the multifaceted benefits of BMc inoculation on plant fitness, significantly influencing metabolism, stress responses, and the rhizosphere microbiome. These improvements are crucial for advancing sustainable agricultural practices by enhancing plant resilience and productivity.

RevDate: 2025-06-01

Osogo AK, Muyekho F, Were H, et al (2025)

Deciphering common bean (Phaseolus Vulgaris L.) microbiome assemblages reveal mechanistic insights into host-pathogen-microbiome interactions.

Genomics pii:S0888-7543(25)00080-1 [Epub ahead of print].

Common bean (Phaseolus vulgaris L.) is the primary source of proteins and nutrients in most households in sub-Saharan Africa. However, production of this crop is constrained by several biotic factors. While research on common bean plant-pathogen interactions has predominantly focused on binary relationships, the diversity of microbes naturally inhabiting plant tissues and their interactions has often been overlooked. Recent findings, however, show that these resident microbes actively contribute to plant defense mechanisms, rather than merely acting as passive bystanders. This study aimed to document and explore potential interactions within the common bean microbiome assemblages through field investigations in selected locations across the western regions of Kenya. Common bean leaf samples were collected from farmer's fields along motorable roads 3-5 km apart. Shotgun metagenomic analysis identified a diverse range of microorganisms, including bacteria, fungi, yeast, phytoplasmas, viruses, and bacteriophages, across multiple taxonomic levels-spanning 4 Kingdoms, 136 Phyla, 168 Classes, 360 Orders, 792 Families, 2039 Genera, and 6130 Species-both epiphytic and endophytic, and pathogenic or non-pathogenic. Pseudomonadota consistently showed the highest taxonomic annotation for antimicrobial-resistant organisms, highlighting its central role in resistance across the studied area. The sequences obtained were mapped to the EggNOG, CAZy, and KEGG databases to explore, assign, and predict gene functions. The EggNOG database emphasized the importance of "Replication, recombination, and repair" processes in maintaining genomic stability, along with amino acid transport, energy production, and metabolism. CAZy analysis revealed a significant presence of glycosyltransferases, particularly from GT1 and GT32 families, and noted the role of enzymes like Glycoside Hydrolases in plant defense against pathogens. KEGG pathway analysis underscored the central role of metabolic processes such as energy metabolism, translation, and carbohydrate metabolism. Key pathways linked to plant defense and resilience, including 2-oxocarboxylic acid metabolism, amino acid biosynthesis, and secondary metabolite biosynthesis, were identified. These findings underscore the role of metabolic and enzymatic processes in strengthening plant defenses and stress tolerance while laying the groundwork for multidisciplinary research to advance sustainable agriculture and food safety.

RevDate: 2025-06-01

Su X, Liu J, Chang L, et al (2025)

Viral insights into the acidification of sulfidic mine tailings.

Journal of hazardous materials, 494:138754 pii:S0304-3894(25)01670-X [Epub ahead of print].

The acidification of sulfidic mine tailings, driven primarily by sulfur- and iron-oxidizing microorganisms, can lead to severe environmental pollution and imperil human health. The role of viruses in this process and its underlying mechanisms yet remain poorly understood. In this study, we recovered 623 species-level viral genomes and 322 prokaryotic genomes from seven metagenomes of mine tailings with pH values ranging from 7.51 to 2.13. We observed that acidification drastically altered geochemical properties and degraded environmental quality, characterized by significant decreases in carbon/nitrogen ratio and heavy metal levels. The structure and function of viral communities were significantly correlated with pH and prokaryotic diversity, showing distinct dynamics across different acidification stages, similar to patterns observed in the prokaryotic community. Notably, potential sulfur-oxidizing prokaryotes increased in relative abundance as pH declined, while their virus-host abundance ratio exhibited a significant positive correlation with pH. Results indicated that viral "top-down" predation on sulfur-oxidizing prokaryotes was likely suppressed during acidification, providing a survival advantage to these organisms over iron-oxidizing counterparts. Moreover, viruses likely reprogrammed the sulfur and iron metabolism of prokaryotic hosts and enhanced their adaptability to environmental stressors through auxiliary metabolic genes. Additionally, a pH- and lifestyle-dependent evolutionary scenario for viruses revealed that frequent recombination and the accumulation of synonymous mutations in lytic viruses and chronic Inoviridae, likely increased their intrapopulation diversity and resilience. These findings provide new insights into the multifaceted roles of viruses in mine tailings acidification, deepening understanding of the underlying mechanisms and advancing potential strategies to mitigate associated environmental risks.

RevDate: 2025-06-01

Wu L, Wang J, Jin T, et al (2025)

Lignin-enhanced fungal-bacterial consortium for degradation of petroleum hydrocarbon contaminants.

Journal of environmental management, 388:125973 pii:S0301-4797(25)01949-8 [Epub ahead of print].

A lignin-enhanced fungal-bacterial consortium strategy (Bau_Lignin) was proposed to promote the biodegradation of petroleum hydrocarbon contaminants (PHCs), with pyrene and n-docosane selected as representative compounds. Optimal performance was achieved by co-inoculating fungi and bacteria at a 5:5 ratio. Within 12 days, the pyrene removal efficiency of Bau_Lignin was 2.23 times and 1.67 times higher than that of the bacterial consortium (XH40) and the fungal-bacterial consortium (Bau), respectively. Lignin addition enhanced enzyme activities (e.g., ligninolytic enzymes, dioxygenases, dehydrogenases) and increased the abundance of key functional genera (e.g., Pseudomonas, Achromobacter, Stenotrophomonas). Metagenomic sequencing further revealed an enrichment of genes associated with biosurfactant production and oxygenase activity in Bau_Lignin, facilitating mass transfer, hydroxylation, and ring-cleavage processes. Thus, a potential reinforcement mechanism was proposed, highlighting the synergistic interactions among enzyme activities, functional genera, and key functional genes across multiple pathways.

RevDate: 2025-06-01

Hou Y, Jia R, Zhou L, et al (2025)

Alterations in microbial-mediated methane, nitrogen, sulfur, and phosphorus cycling within paddy soil induced by integrated rice-fish farming.

Journal of environmental management, 388:126056 pii:S0301-4797(25)02032-8 [Epub ahead of print].

Rice paddies are crucial ecosystems, supporting dense microbial populations and playing a significant role in global food security. Integrated rice-fish farming has been recognized as an important agricultural production pattern to enhance agro-ecosystem stability and food productivity. Using metagenomic sequencing, we compared the microbial-mediated soil CH4, N, S, and P cycles in integrated rice-fish farming versus traditional rice monoculture, exploring their potential coupling mechanisms within microbes. Integrated rice-fish farming has significantly impacted these microbial-mediated cycles in paddy soil, altering the overall functional diversity, sum abundance, and microbial host diversity for the CH4, N, S, and P cycling genes. Specifically, it suppressed the denitrification, assimilatory nitrate reduction (ANR), assimilatory sulfate reduction (ASR), thiosulfate oxidation, organic phosphoester hydrolysis, and two-component system pathways and most of their associated functional genes, while enhanced the acetoclastic methanogenesis and the reduction of tetrathionate to thiosulfate processes. Compared to traditional rice monoculture, integrated rice-fish farming resulted in metagenome-assembled genomes (MAGs) with fewer and more isolated biogeochemical cycling genes, lacking potential couplings among multi-element cycles. Additionally, this farming approach increased the soil nutrient levels including the total carbon (TC), total organic carbon (TOC), total nitrogen (TN), total sulfur (TS), and total phosphorus (TP) concentrations, which have been identified as the most crucial factors driving the alterations in microbial functional genes/pathways involved in biogeochemical cycling processes in our study. Overall, integrated rice-fish farming dynamically altered the microbial-mediated CH4, N, S, and P cycles and their potential couplings within microbes through promoting the soil nutrient levels, which could favor rice growth, thus maintaining food security and providing refined knowledge for maintaining soil sustainability.

RevDate: 2025-06-01

Rajput V, Pramanik R, Nannaware K, et al (2025)

Metagenomics based longitudinal monitoring of antibiotic resistome and microbiome in the inlets of wastewater treatment plants in an Indian megacity.

The Science of the total environment, 986:179691 pii:S0048-9697(25)01332-4 [Epub ahead of print].

The growing threat of antimicrobial resistance (AMR) poses a significant global challenge, undermining advancements in healthcare, agriculture, and life expectancy. Despite its critical importance, data on population-level AMR trends, including seasonal and temporal variations, remain scarce. In this study, we conducted metagenomic analysis on 190 wastewater samples collected monthly from December 2022 to December 2023 in Pune, India, to assess the diversity, dynamics, and co-occurrence of AMR determinants. Using nanopore shotgun sequencing, we generated 87.86 Gbp of data, enabling the taxonomic classification of 157 bacterial phyla and 3291 genera. Proteobacteria dominated the microbial community, with notable seasonal shifts, including increased Streptococcus abundance correlating with SARS-CoV-2 viral surges in March 2023. We identified 637 distinct antimicrobial resistance genes (ARGs) associated with 29 antibiotic classes, with multidrug, macrolide-lincosamide-streptogramin, beta-lactams, and tetracyclines genes being the most prevalent, particularly within WHO priority pathogens such as Enterobacteriaceae and Pseudomonas. Temporal normalization of ARG abundance revealed significant seasonal variability, peaking during winter, potentially driven by increased antibiotic use for respiratory infections. The integration of viral load data with AMR trends highlighted complex interactions between viral outbreaks and AMR dissemination. This study demonstrates the potential of wastewater surveillance as an early warning system for AMR, providing valuable insights into environmental and community resistance dynamics. Our results underscore the importance of integrated AMR surveillance to inform public health strategies aimed at mitigating the global AMR threat.

RevDate: 2025-06-01

Han M, Li S, Li Z, et al (2025)

Layer-specific photo-metabolic specialization of encapsulated microalgae: A strategy for synchronous multi-nitrogen elimination from wastewater.

Water research, 282:123926 pii:S0043-1354(25)00834-6 [Epub ahead of print].

Conventional wastewater treatment (WWT) systems face persistent challenges in simultaneous ammonium (NH4[+]-N) and nitrate (NO3[-]-N) removal due to substrate competition and energy-intensive multi-stage processes. This study presents an innovative strategy leveraging encapsulated microalgal systems to achieve synchronous 94.45 % NH4[+]-N and 98.47 % NO3[-]-N removal within a single reactor through spatial reprogramming of photosynthetic energy allocation. By exploiting the structural heterogeneity within alginate-encapsulated beads, depth-stratified metabolic zones were created that challenge the long-held dogma of microalgae's inherent NH4[+]-N preference. Multidimensional analyses, including spatial distribution mapping, molecular dynamics simulations, metagenomic profiling and photosynthetic regulation, further revealed that light-modulated oxygen gradients, polymer-mediated solute transport, and stratified photo-metabolic specialization synergistically reprogramed microalgal nitrogen metabolism, enabling co-utilization of NH4[+]-N and NO3[-]-N. The system demonstrated robust dual-nitrogen assimilation efficiencies under varying environmental conditions, transcending conventional substrate utilization hierarchies. This transformative approach not only resolves the dilemma of mixed nitrogen pollution but also advances sustainable WWT by integrating pollutant removal with biomass valorization. The findings provide mechanistic insights into microalgal metabolic plasticity and offer a scalable, energy-efficient solution to upgrade traditional denitrification technologies, aligning with urgent demands for circular economy in water resource management.

RevDate: 2025-05-31

Kuhar U, Krapež U, Slavec B, et al (2025)

Virome analysis suggests deltacoronaviruses and picornaviruses as a probable cause of severe intestinal disease on three quail farms.

Animal microbiome, 7(1):54.

BACKGROUND: Quail farming is increasingly popular mainly due to higher market interest in meat and eggs. However, quails are susceptible to several common poultry viral infections, especially in intensive farming systems. Enteric viruses in poultry can cause significant economic losses, particularly in young birds. Mixed viral infections often exacerbate disease severity. Gamma and deltacoronaviruses are known causes of enteritis in quails, although infections with coronaviruses as well as picornaviruses may be also asymptomatic. Advanced diagnostic tools like next-generation sequencing (NGS) and metagenomics have improved understanding of these infections, yet knowledge gaps persist, and new viruses are continually being identified.

RESULTS: Three outbreaks of enteritis with high mortality in quail farms were investigated using NGS with a metagenomic approach. We found that coronaviruses, picornaviruses (anativiruses) and parvoviruses were highly abundant in samples from investigated outbreaks. Viruses belonging to the families Adenoviridae, Astroviridae and Flaviviridae were less abundant and not present in all samples. Coronaviruses and picornaviruses were detected in all outbreaks, while parvovirus was detected only in one. The complete genomes of three quail deltacoronaviruses, three quail anativiruses and one quail chaphamaparvovirus were determined by NGS. Phylogenetic analysis revealed that the coronavirus and anativirus strains from this study were closely related to the other relevant quail virus strains. As for chaphamaparvovirus, this is the first report of this virus in quails.

CONCLUSIONS: The data from this study indicates the presence of numerous viruses in samples from quails with enteritis that have been overlooked by standard diagnostic approaches but could have played a role in the development of enteritis. These results may support further analysis of virome in healthy quails and in those with different clinical signs.

SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s42523-025-00428-6.

RevDate: 2025-05-31
CmpDate: 2025-06-01

Wang C, Dong T, Rong X, et al (2025)

Microbiome in prostate cancer: pathogenic mechanisms, multi-omics diagnostics, and synergistic therapies.

Journal of cancer research and clinical oncology, 151(6):178.

BACKGROUND: Prostate cancer (PCa) is a leading cause of cancer-related deaths in men, with the microbiome emerging as a significant factor in its development and progression. Understanding the microbiome's role could provide new insights into PCa pathogenesis and treatment.

OBJECTIVE: This review aims to explore the interactions between the microbiome and PCa, focusing on microbial imbalances and their effects on immune responses, inflammation, and hormone levels. It also discusses advanced research techniques and the potential for microbiome modulation in PCa management.

METHODS: The review synthesizes current literature on the microbiome's role in PCa, highlighting differences in microbial composition between cancerous and healthy prostate tissues. It examines techniques such as high-throughput sequencing and metagenomics and explores the mechanisms through which the microbiome influences PCa.

CONCLUSIONS: The review reveals substantial microbial differences in prostate tissues of PCa patients compared to healthy individuals, indicating a potential link between microbiome alterations and disease progression. It highlights the promise of microbiome-based strategies for diagnosis and treatment and underscores the need for further research into personalized, microbiome-centric approaches for PCa management.

RevDate: 2025-05-31
CmpDate: 2025-06-01

Yan P, Zhu J, Ji Q, et al (2025)

Significant impact of bleaching treatment on phage-host interaction dynamics in a full-scale wastewater treatment plant.

Scientific reports, 15(1):19165.

The temporal dynamics of phage-host interactions within full-scale biological wastewater treatment (BWT) plants remain inadequately characterized. Here, we provide an in-depth investigation of viral and bacterial dynamics over a nine-year period in an activated sludge BWT plant, where bleach addition was applied to control sludge foaming. By conducting bioinformatic analyses on 98 metagenomic time-series samples, we reconstructed 3,486 bacterial genomes and 2,435 complete or near-complete viral genomes, which were classified into 361 bacterial and 889 viral clusters, respectively. Our results demonstrate that the primary bleaching event induced significant shifts in both bacterial and viral communities, as well as in virus-host interactions, as evidenced by alterations in bacteria-virus interaction networks and virus-to-host ratio dynamics. Following bleaching, the bacteria-virus network became less interconnected but more compartmentalized. Viral communities mirrored bacterial dynamics, indicating a strong coupling in phage-host interactions. Among the identified virus-host pairs, many exhibited a decelerating rise in viral abundance relative to host abundance, with virus-to-host ratios generally displaying a negative correlation with host abundance. This trend was particularly pronounced in virus-host pairs where viruses harbored integrase genes, indicative of temperate dynamics resembling a "Piggyback-the-Winner" model. Notably, the bleaching intervention appeared to induce a transition from lysogeny to lysis in viruses associated with some foaming-related bacterial species, suggesting a potential virus-involved indirect mechanism by which bleaching mitigates sludge foaming.

RevDate: 2025-05-31
CmpDate: 2025-06-01

Nesti DR, Hayashida K, Sugi T, et al (2025)

Development of a semicomprehensive detection method for paramyxoviruses and its validation using Indonesian bats.

Scientific reports, 15(1):19154.

An outbreak of zoonotic diseases is one of the worldwide threats. Bats were reported as important reservoir hosts for many emerging zoonotic diseases. To mitigate the risk, understanding bat virome and their distribution is indispensable. Universal detection methods that can simultaneously identify multiple viruses are some of the most promising approaches. Here, we developed a semicomprehensive detection method integrating group-wide RT-PCR for paramyxoviruses and multiplex next-generation sequencing. The RT-PCR consists of three sets of degenerative primers covering viruses from Paramyxoviridae, including Pneumoviridae, which have now been reclassified into a distinct family. Index nucleotides were added to the primers to enable cost-effective multiplex sequencing, and the length of index was optimized to increase sensitivity. The method was applied to tracheal and rectal swabs from 135 bats captured in Indonesia. A conventional RT-PCR test validated the NGS results. Collectively, seven sequences of novel paramyxovirus-like similar to Pararubulavirus, Orthorubulavirus, and Henipavirus were successfully identified from seven bat samples. Furthermore, sequences between the two different target locations detected by NGS in the virus genomes were verified by RT-PCR. The similarity of the obtained sequences to the known paramyxoviruses sequences was relatively low, ranging from 70.88 to 82.44%. It suggests that the obtained sequences from novel viruses and the zoonotic risk of those novel viruses remain unknown. This cost-affordable, semi-comprehensive, pan-paramyxovirus test can be applied to other samples for viral genome surveillance, and the same strategy can be implemented to other pathogens for zoonosis control.

RevDate: 2025-05-31
CmpDate: 2025-06-01

Kundral S, Giang PD, Grundon LR, et al (2025)

Characterisation of the thermophilic P450 CYP116B305 identified using metagenomics-derived sequence data from an Australian hot spring.

Applied microbiology and biotechnology, 109(1):133.

Cytochrome P450 enzymes (P450s) have gained significant attention due to their remarkable ability to oxidise unactivated C-H bonds with high regio- and stereoselectivity. Their industrial utility is often limited by challenges such as low stability, poor expression, and dependence on elusive redox partners. These issues have driven the search for more robust P450s, especially those that are inherently stable under extreme conditions typical of industrial processes. "Self-sufficient P450s" in which the P450 heme domain is naturally fused to redox domains in a single polypeptide chain eliminates the need to identify and separately express required redox partners. Furthermore, P450s from thermophilic organisms are more temperature tolerant with fewer stability issues. This study presents a self-sufficient P450, CYP116B305, identified from metagenomically assembled genomes from Innot Hot Springs (71 °C), located in North Queensland, Australia. CYP116B305 was heterologously expressed in Escherichia coli and purified using standard protocols. Investigation of the thermal stability of CYP116B305 revealed a robust heme domain with a [15]T50 value of 56.9 ± 0.1 °C, while the reductase domain exhibited slightly lower stability, with a [15]T50 value of 52.5 ± 0.5 °C. Further characterisation revealed that CYP116B305 efficiently bound to and hydroxylated 2-hydroxyphenylacetic acid (2-HPA) at the C-5 position, yielding homogentisic acid. The catalytic parameters, including the coupling efficiency and rate of electron transfer from the NADPH cofactor to the P450 heme, were shown to improve at an elevated temperature (45 °C) compared to 25 °C. The combination of the self-sufficiency and improved stability makes CYP116B305 a promising platform for biotechnological applications and biocatalyst engineering. KEY POINTS: • Hot spring metagenomics reveals thermostable P450s of biocatalytic value. • CYP116B305 shows enhanced catalytic activity at elevated temperature (45 °C). • CYP116B305 is a promising platform enzyme for diverse biotechnological use.

RevDate: 2025-05-31

Liu W, Chen S, Yang J, et al (2025)

Characterization of blood and urine microbiome temporal variability in patients with acute myeloid leukemia.

Microbial pathogenesis pii:S0882-4010(25)00459-0 [Epub ahead of print].

BACKGROUND: Investigating the microbiota of blood and urine from acute myeloid leukemia (AML) patients is essential to unravel the complex role of microbiota in systemic host-microbe interactions and implications.

METHODS: We conducted a longitudinal observational study to characterize the temporal dynamics of blood and urine microbiota in 27 AML patients, utilizing metagenomic analysis pipeline for microbial identification to identify disease-associated microbial signatures.

RESULTS: The composition of blood and urine microbiota of AML was dominated by Proteobacteria phylum in blood, Firmicutes phylum in urine. The species and diversity of blood and urine microbiota did not have difference between AML patients and healthy controls. Restitution of alpha and beta diversity of blood microbiota and urine microbiota to resemble that of healthy controls occurred after cessation of treatment. Temporal variation of urine microbiome was higher than blood after treatment which was closely related to pathogenic bacteria and beneficial bacteria measured by coefficient of variation (CV) of alpha diversity. The temporal variability of urine microbiota was significantly correlated with platelet and exposure of levofloxacin. The variation of microbiome of AML patients with infection was found that the relative abundance of Burkholderia significantly enriched in blood and urine which had high accuracy and sensitivity. The correlation between blood microbiota and serum amino acid metabolites was similar to that between gut microbiota and serum metabolites.

CONCLUSION: This study represents the first comprehensive investigation to quantify the longitudinal variability of blood and urine microbiota in AML patients, revealing distinct patterns compared to gut microbiota and associations with adverse clinical outcomes. Our findings highlight the potential of leveraging stabilizing taxa as a target for microbiome restoration.

RevDate: 2025-05-31

Zheng Z, Gustavsson DJI, Zheng D, et al (2025)

Genome-centric metagenomics reveals the effect of organic carbon source on one-stage partial denitrification-anammox in biofilm reactors.

Journal of environmental management, 388:125972 pii:S0301-4797(25)01948-6 [Epub ahead of print].

Nitrogen removal from wastewater with anammox saves energy and resources. Partial denitrification-anammox (PDA) is a promising process alternative for municipal wastewater treatment, given that the understanding about how to control the microbiome and its activity reach sufficient level. Here, two moving bed biofilm reactors were fed with either acetate or propionate to study the role of organic carbon type for microbiome composition and nitrogen turnover during development of PDA. With acetate, 87 % of the removed nitrogen was converted via anammox during stable operation at a rate of 0.52 g N/(m[2]·d). With propionate, the anammox contribution was considerably lower (41 %), as was the rate of nitrogen removal (0.27 g N/(m[2]·d)). The microbiome composition in the acetate- and propionate-fed reactors was however similar, with an enrichment of metagenome assembled genomes (MAGs) having genes for nitrate reduction (narG, napA). A large fraction of these MAGs had the potential to accumulate nitrite since they lacked genes for nitrite reduction (nirS, nirK, nrfA). Genes for acetate utilization were common among these MAGs, but the necessary genes for propionate conversion were rare, suggesting that the genetic make-up of the individual denitrifiers had major influence on the nitrogen turnover. One anammox MAG (Ca. Brocadia sapporoensis), harboring genes for organic carbon utilization, prevailed in the PDA reactors. Another three anammox MAGs (Ca. B. fulgida, Ca. B. pituitae and a potentially new species within Ca. Brocadia), lacking genes for organic carbon utilization, decreased in abundance in the reactors, indicating the importance of metabolic versatility for anammox bacteria in PDA.

RevDate: 2025-05-31

Hou M, Gu X, Lai W, et al (2025)

Sulfur-iron interactions forming activated FexSy pool in-situ to synergistically improve nitrogen removal in denitrification system.

Journal of environmental management, 388:126047 pii:S0301-4797(25)02023-7 [Epub ahead of print].

Sulfur-iron coupling has received increasing attention for improving nitrogen removal. However, the boosting mechanisms of denitrification in sulfur-iron coupling biological system are still ambiguous, and no reasonable explanation has been given for the mismatch between the amount of S[0] loss and the amount of SO4[2-] produced in the coupling system. Therefore, this study established sulfur-iron coupling denitrification systems, and investigated the nitrogen removal performances and coupling mechanisms of the systems. The research results showed that the TN removal efficiencies of the sulfur-iron coupling systems were 122.73-149.27 % higher than those of the single electron donor systems. In the process of nitrogen removal, about 26.03-35.32 % of the more leached S[0] and Fe[0] in the coupling systems co-precipitated to form activated FexSy pool in-situ, contributing about 25.41 % of the nitrogen removal and allowing the systems to remove 76.32-100 % of TN without external electron donors; moreover, the oxidation process of S[2-] provided electrons for the reduction of Fe (Ⅲ) to Fe (Ⅱ), generating more electron donors. Metagenomic sequencing results showed significant increases in the richness and diversity of functional microorganisms associated with sulfur and iron autotrophic denitrification in the coupling systems, and their contributions to the key genes in the denitrification, sulfur transformation and iron cycle processes increased substantially. In general, this study offered deeper understanding for assessing the nitrogen removal potential of the sulfur-iron coupling system, as well as investigating the interactions between S[0] and Fe[0] and elucidating nitrogen removal pathways within the system.

RevDate: 2025-05-31

Xia Z, Ng HY, S Bae (2025)

Synergistic microalgal-bacterial interactions enhance nitrogen removal in membrane-aerated biofilm photoreactors treating aquaculture wastewater under salt stress: Insights from metagenomic analysis.

Water research, 283:123878 pii:S0043-1354(25)00786-9 [Epub ahead of print].

This study investigates the membrane-aerated biofilm photoreactor (MABPR) for treating aquaculture effluents with low C/N ratio and elevated salinity (0.5%-3.2%). The MABPR integrated biofilm reactors with microalgal-bacterial consortia, achieving superior total inorganic nitrogen (TIN) removal by leveraging counter-diffusional biofilm properties, bubbleless aeration, and enhanced microalgal productivity. The system consistently outperformed conventional reactors, achieving 84.7 ± 1.9% TIN removal at 3.2% salinity with TIN removal flux increasing from 0.82 ± 0.04 to 1.22 ± 0.07 g/m[2] d. The MABPR promoted microalgal proliferation (Chl-a/VSS: 8.08-15.04 mg/g) and higher biomass productivity (1.83 g/m[2] d) compared to SBBPR and MABR. Elevated salinity stimulated extracellular polymeric substance (EPS) production, reinforcing biofilm stability and microbial resilience. The MABPR demonstrated 22%-65% higher nitrogen removal efficiency than controls at the highest salinity. Canonical nitrification-denitrification remained the primary nitrogen removal pathway, with short-cut nitrification-denitrification contributing under salt stress. Metagenomic analysis revealed bidirectional adaptation between microalgae and bacteria, with enriched nitrogen assimilation (GS/GOGAT pathway) compensating for bacterial deficits. Microalgae facilitated pollutant removal through ammonia uptake and dissolved organic matter release, supporting denitrification. At 3.2% salinity, Nitrosomonas and Nitrobacter abundance increased by 42.6% and 35.8%, while denitrifiers Denitromonas and Hoeflea dominated, comprising 59.4% and 35.9% of the population. The MABPR further promoted the synthesis of growth cofactors (vitamins, phytohormones), enhancing microalgal productivity and stress resilience. These synergistic microalgal-bacterial interactions supported pollutant removal, showcasing the MABPR as a robust, sustainable solution for aquaculture wastewater treatment and resource recovery under salt stress.

RevDate: 2025-05-31

Cañete-Reyes Á, González JG, Alteio LV, et al (2025)

Aetiology and environmental factors of the Watery Mouth Disease associated with neonatal diarrhoea in lambs.

Veterinary microbiology, 306:110542 pii:S0378-1135(25)00177-4 [Epub ahead of print].

Watery Mouth Disease is the main disease in neonatal lambs, causing great economic losses. Despite this, the cause of the condition remains poorly understood. Therefore, we have analysed the main bacteria found in sick animals, their intestinal and temporal distribution, as well as the main sources of contamination. Twelve different farms were sampled, from which 331 samples were taken in total. From these samples, 184 environments were analyzed using 16S rRNA amplicon sequencing, 164 isolates were identified by whole genome sequencing and 35 bacterial counts were performed. The dominant bacterial groups at the rectal level were Escherichia-Shigella (36 %) and Clostridium (29 %), with a homogeneous distribution along the digestive tract and a maximum abundance ranging between 12 and 24 hours of lamb life. Within Escherichia-Shigella: Escherichia coli and Escherichia fergusonii and within Clostridium: Clostridium perfringens, Clostridium cadaveris, Clostridium tertium and Clostridium paraputricum were identified as the main isolates present in sick animals. The high presence of Clostridium strains, especially potentially pathogenic species like C. perfringens in sick animals, point out Clostridium as a new important protagonist of watery mouth disease and the need of their inclusion in future studies. In particular, bedding was established as the main microbial contaminating factor, reaching the highest increase 48 hours after removal and cleaning of the lambing area (i.e. 8.03 ×10[8], 1.88 ×10[6], 3.88 ×10[6], 4.85 ×10[7] and 4.00 ×10[5] CFU/g for mesophilic aerobes, coliforms, E. coli, mesophilic anaerobes and sporulates, respectively). These results highlight the need to increase cleanliness in bedding to reduce the presence of these bacteria.

RevDate: 2025-05-31

Jones LM, S El Aidy (2025)

Electroactive ecosystem insights from corrosion microbiomes inform gut microbiome modulation.

The ISME journal pii:8154415 [Epub ahead of print].

Electroactive microorganisms influence environmental and host-associated ecosystems through their ability to mediate extracellular electron transfer. This review explores parallels between EAM-driven microbiologically influenced corrosion systems and the human gut microbiome. In corrosion, EAMs contribute to biofilm formation, redox cycling, and material degradation through mechanisms such as direct electron transfer and syntrophic interactions. Similarly, gut-associated EAMs regulate redox balance, drive short-chain fatty acid production, and shape host-microbe interactions. Despite differing contexts, both systems share traits like anoxic niches, biofilm formation, and metabolic adaptability. Insights from well-characterized corrosion microbiomes offer valuable frameworks to understand microbial resilience, electron transfer strategies, and interspecies cooperation in the gut. Bridging knowledge between these systems can inform microbiome engineering approaches aimed at promoting gut health, highlighting the need for further functional metagenomics and exploration of archaeal contributions to biofilm stability and redox modulation.

RevDate: 2025-06-02
CmpDate: 2025-05-31

Fan KC, Lin CC, Chiu YL, et al (2025)

Compositional and functional gut microbiota alterations in mild cognitive impairment: links to Alzheimer's disease pathology.

Alzheimer's research & therapy, 17(1):122.

BACKGROUND: Emerging evidence highlights the bidirectional communication between the gut microbiota and the brain, suggesting a potential role for gut dysbiosis in Alzheimer's disease (AD) pathology and cognitive decline. Existing literature on gut microbiota lacks species-level insights. This study investigates gut microbiota alterations in mild cognitive impairment (MCI), focusing on their association with comprehensive AD biomarkers, including amyloid burden, tau pathology, neurodegeneration, and cognitive performance.

METHODS: We analyzed fecal samples from 119 individuals with MCI and 320 cognitively normal controls enrolled in the Taiwan Precision Medicine Initiative on Cognitive Impairment and Dementia cohort. Shotgun metagenomic sequencing was conducted with taxonomic profiling using MetaPhlAn4. Amyloid burden and plasma pTau181 were quantified via PET imaging and Simoa assays, respectively, while APOE genotyping was performed using TaqMan assays. Microbial diversity, differential abundance analysis, and correlation mapping with neuropsychological and neuroimaging measures were conducted to identify gut microbiota species signatures associated with MCI and AD biomarkers.

RESULTS: We identified 59 key microbial species linked to MCI and AD biomarkers. Notably, species within the same genera, such as Bacteroides and Ruminococcus, showed opposing effects, while Akkermansia muciniphila correlated with reduced amyloid burden, suggesting a protective role. Functional profiling revealed microbial pathways contributing to energy metabolism and neuroinflammation, mediating the relationship between gut microbes and brain health. Co-occurrence network analyses demonstrated complex microbial interactions, indicating that the collective influence of gut microbiota on neurodegeneration.

CONCLUSIONS: Our findings challenge genus-level microbiome analyses, revealing species-specific modulators of AD pathology. This study highlights gut microbial activity as a potential therapeutic target to mitigate cognitive decline and neurodegeneration.

RevDate: 2025-06-02
CmpDate: 2025-05-30

Lai LM, Dai QB, Cao ML, et al (2025)

Clinical utility of metagenomic next-generation sequencing in pathogen detection for lower respiratory tract infections.

Scientific reports, 15(1):19039.

Identifying pathogens in patients with lower respiratory tract infections (LRTIs) has always been a major challenge. Metagenomic next-generation sequencing (mNGS) technology is a new diagnostic tool that can assist clinicians in the etiological diagnosis of LRTIs. This study focuses on the clinical value of mNGS in the diagnosis of suspected LRTIs. A total of 400 patients with suspected LRTIs admitted at the First Affiliated Hospital of Nanchang University from July 2020 to February 2023 were enrolled in this retrospective study. Bronchoalveolar lavage fluid (BALF) samples were analyzed using both mNGS and culture methods. The diagnostic accuracy of two approaches was systematically compared against the final clinical diagnosis, which served as the gold-standard reference. Of the 400 enrolled cases, 82.3% (329/400) were diagnosed with LRTIs. From these cases, mNGS identified 76.8% (307/400) truepositive cases, 8.0% (32/400) falsepositive cases, 9.8% (39/400) truenegative cases, and 5.5% (22/400) falsenegative cases. mNGS demonstrated significantly higher sensitivity [93.3% (307/329) vs. 55.6(183/329)%] alongside greater negative predictive values [63.9% (39/61) vs.25.9%(51/197)], whereas culture offered higher specificity [54.9%(39/71) vs. 71.8%(51/71)]. The area under the receiver-operating curve (AUC) of mNGS[0.744(95%CI: 0.67-0.82)]was significantly higher than that of cultures[0.636(95%CI: 0.57-0.71)]. Specifically, mNGS detected more Streptococcus pneumoniae (7.0% vs. 0%), Haemophilus influenzae (6.7% vs. 0%), Aspergillus (9.4% vs. 3.5%), Pneumocystis jirovecii (11.9% vs. 0%) and other intracellular pathogens. Of the 329 patients with LRTIs, antibiotic treatment was modified based on the mNGS results in more than half of the patients(50.5%,166/329), including 20 cases of adjusted antimicrobial regimens, 70 cases de-escalated the empirical antibiotic treatment, and 76 patients escalated the treatment by increasing dosage or medication. 60.8%(101/166) of patients responded to modified antibiotic treatment. Significant benefits of mNGS have been shown in pathogen identification and antimicrobial treatment stewardship in patients with LRTIs. For those with suboptimal therapeutic responses, physicians should be alert to some emerging intracellular pathogens, including Chlamydia psittaci, Mycobacterium tuberculosis, and Pneumocystis jirovecii.

RevDate: 2025-05-30
CmpDate: 2025-05-30

Wang X, Jiang Q, Tian X, et al (2025)

Metagenomic analysis reveals the novel role of vaginal Lactobacillus iners in Chinese healthy pregnant women.

NPJ biofilms and microbiomes, 11(1):92.

This study investigated the relationship between vaginal microbiota and women's health conditions in 95 Chinese pregnant women in their third trimester. We conducted vaginal metagenomic analysis, examining species, functional pathways, and genes, and utilized correlation and LEfSe analyses to link microbiota to health conditions. Results revealed that healthy participants exhibited higher levels of Lactobacillus iners, with its abundance associated with tetrahydrofolate biosynthesis pathways. They also possessed more glycosyltransferase and ErmB antibiotic resistance genes compared to women with diagnosed conditions. Comparative genomics demonstrated that L. iners strains linked to bacterial vaginosis (BV) possessed more genes encoding biofilm-associated YhgE/Pip domain-containing proteins than healthy-associated strains. Notably, three BV-associated L. iners strains exhibited stronger biofilm formation abilities than four healthy-associated strains isolated in this study. Also, four out of seven L. iners strains inhibited the growth of Gardnerella vaginalis. Overall, L. iners may help maintain vaginal ecosystem stability in Chinese pregnant women.

RevDate: 2025-05-30

Paluoja P, Vaher M, Teder H, et al (2025)

Honey bulk DNA metagenomic analysis to identify honey biological composition and monitor honey bee pathogens.

NPJ science of food, 9(1):91.

Honey's DNA mixture originates from various organisms like plants, arthropods, fungi, bacteria, and viruses. Conventional methods like melissopalynological analysis and targeted honey DNA metabarcoding offer a limited view of honey's biological composition. We conducted a honey bulk DNA metagenomic analysis to characterize the honey's taxonomic composition and identify honey bee-related pathogens and parasites based on 266 Estonian and 103 foreign honey samples. 70.4% of the DNA in Estonian honey was derived from green plant families like Brassicaceae, Rosaceae, Fabaceae, and Pinaceae. Geographical distribution analysis revealed distinct botanical compositions between Estonian mainland and island samples. The bacterial family Lactobacillaceae was prevalent overall, reflecting the honey bee microbiota in honey. We detected 12 honey bee pathogens and parasites, including Paenibacillus larvae, Nosema ceranae, Varroa destructor, and Aethina tumida. In conclusion, the study underscores the potential of bulk DNA-based non-targeted metagenomic approaches for monitoring honey bee health, environment, and honey composition, origin, and authenticity.

RevDate: 2025-05-31
CmpDate: 2025-05-30

Rodríguez Del Río Á, Scheu S, MC Rillig (2025)

Soil microbial responses to multiple global change factors as assessed by metagenomics.

Nature communications, 16(1):5058.

Anthropogenic activities impose multiple concurrent pressures on soils globally, but responses of soil microbes to multiple global change factors are poorly understood. Here, we apply 10 treatments (warming, drought, nitrogen deposition, salinity, heavy metal, microplastics, antibiotics, fungicides, herbicides and insecticides) individually and in combinations of 8 factors to soil samples, and monitor their bacterial and viral composition by metagenomic analysis. We recover 742 mostly unknown bacterial and 1865 viral Metagenome-Assembled Genomes (MAGs), and leverage them to describe microbial populations under different treatment conditions. The application of multiple factors selects for prokaryotic and viral communities different from any individual factor, favouring the proliferation of potentially pathogenic mycobacteria and novel phages, which apparently play a role in shaping prokaryote communities. We also build a 25 M gene catalog to show that multiple factors select for metabolically diverse, sessile and non-biofilm-forming bacteria with a high load of antibiotic resistance genes. Finally, we show that novel genes are relevant for understanding microbial response to global change. Our study indicates that multiple factors impose selective pressures on soil prokaryotes and viruses not observed at the individual factor level, and emphasizes the need of studying the effect of concurrent global change treatments.

RevDate: 2025-05-30

Adyari B, Liao X, Yan X, et al (2025)

Anthropogenic gene dissemination in Tibetan Plateau rivers: sewage-driven spread, environmental selection, and microeukaryotic inter-trophic driving factors.

Water research, 284:123887 pii:S0043-1354(25)00795-X [Epub ahead of print].

The spread of anthropogenic genes, such as antibiotic resistance genes (ARGs), mobile genetic elements (MGEs), virulence factor genes (VFGs), and antibiotic-resistant bacteria (ARBs), is a growing public health concern. However, the role of anthropogenic activities in the dissemination of these genes and bacteria in Tibetan Plateau rivers is still unclear. In this study, we analyzed 138 metagenomic samples from water and sediment across nine Tibetan rivers, along with sewage samples from 21 wastewater treatment plants (WWTPs), at both the gene and contig levels, to investigate the spread of the sewage-enriched genes and their bacterial hosts (contigs) in Tibetan rivers. Overall, sewage input was positively correlated with increased the abundance of an average 56 % and 17 % of detected genes in water and sediment, respectively. However, FEAST source tracking analysis revealed that the overall contribution of sewage across all rivers was significantly lower than that of water and sediment. Additionally, sewage's impact varied across rivers, with the Yarlung Zangbo, the largest river, exhibiting limited influence despite receiving inputs from smaller rivers and WWTPs. Neutral community model (NCM) suggested that neutral processes and negative selection predominantly governed the spread of majority of highly abundant sewage-enriched genes and contigs, suggesting restricted environmental spread. In contrast, a subset of genes over-represented relative to neutral expectations (above-neutral prediction) showed lower overall abundance but higher richness, potentially reflecting selection that favor their retention in certain downstream environments. Furthermore, sewage-enriched genes and contigs in water, regardless of their community assembly processes, were linked to microbial interaction modules dominated by microeukaryotic groups associated with sewage, including consumer protists (ciliate), human parasites (e.g., Naegleria), algae, and fungi. These interactions may facilitate the dissemination of antimicrobial resistance in aquatic environments, though this pattern was less pronounced in sediment.

RevDate: 2025-05-30

Rono JK, Zhang Q, He Y, et al (2025)

Identification and characterization of halotolerant multifunctional GH6 endoglucanases ZFEG1605 and ZFEG1663 from Mt. Everest soil metagenome.

Carbohydrate research, 554:109549 pii:S0008-6215(25)00175-2 [Epub ahead of print].

Environmental microorganisms express enzymes with unique hydrolytic activity, stability, and kinetic parameters, which are of great interest for biotechnological applications. In this study, two novel endoglucanases, ZFEG1605 and ZFEG1663, were cloned from Mt. Everest soil metagenomic library, heterologously expressed in E. coli BL21(DE3), and characterized. Both enzymes exhibited high activity on konjac glucommanan (KG) and sodium carboxymethylcellulose (CMC), while ZFEG1605 also exhibited activity towards guar gum (GG). The optimal pH for both enzymes was slightly shifted toward acidic range (pH 5/6). The optimal reaction temperatures for ZFEG1605 and ZFEG1663 were 50 and 40 °C, respectively. ZFEG1605 was more thermostable than ZFEG1663 as it remained stable up to 50 °C, compared to 40 °C for ZFEG1663. Both enzymes showed broad pH stability, although they retained more mannanase activity than CMCase activity within the same pH range. The endoglucanases exhibited remarkable salt tolerance, retaining over 70 % of their enzymatic activity in the presence of 2.5 M NaCl. The purified enzymes hydrolyzed alkali-pretreated rice straw to release reducing sugars, demonstrating their potential usage for biomass saccharification.

RevDate: 2025-05-30
CmpDate: 2025-05-30

Ricci L, Selma-Royo M, Golzato D, et al (2025)

Description of Catenibacterium mitsuokai subsp. tridentinum subsp. nov., an anaerobic bacterium isolated from human faeces, and emended description of C. mitsuokai.

International journal of systematic and evolutionary microbiology, 75(5):.

A recent metagenomic survey has revealed an unknown bacterial clade within the Catenibacterium mitsuokai species to be significantly more prevalent in non-urbanized populations, compared to urbanized ones. We isolated and characterized a strain of this clade from the stool of a healthy adult volunteer. Strain CMD8551[T] is strictly anaerobic, appears as long chains of Gram-positive rods and produces acetate in the presence of glucose. The lipidomic profile showed a higher proportion of saturated lipid species amongst the detected phospholipids. The whole genome is 2,320,430 bp long and has a G+C content of 33.7 mol% with 2,239 CDSs. A phylogenetic analysis comparing the sequences of the strain CMD8551[T] with publicly available reference genomes from the Catenibacterium genus revealed that the CMD8551[T] isolate, together with other isolate genomes, forms a distinct subspecies of C. mitsuokai and has an average nucleotide identity lower than 94% with respect to the previously described C. mitsuokai subsp. mitsuokai. Given the phenotypic, chemotaxonomic and phylogenetic characteristics of the newly isolated CMD8551[T] (=DSM 118469[T]=LMG 33725[T]=CIP 112509[T]) that clearly differ from those of the C. mitsuokai subsp. mitsuokai type strain RCA14-39[T], we propose it as the type strain of a novel subspecies of C. mitsuokai, with the name C. mitsuokai subsp. tridentinum subsp. nov.

RevDate: 2025-05-30

Li W, Huang B, Guo M, et al (2025)

Unveiling the evolution of antimicrobial peptides in gut microbes via foundation-model-powered framework.

Cell reports, 44(6):115773 pii:S2211-1247(25)00544-3 [Epub ahead of print].

Antimicrobial resistance poses a major threat to public health, prompting the development of alternative therapies such as antimicrobial peptides (AMPs). Protein language models (PLMs) have advanced protein structure and function predictions, facilitating AMP discovery. We developed antimicrobial peptide structural evolution miner (AMP-SEMiner), an AI-driven framework that integrates PLMs, structural clustering, and evolutionary analysis to systematically identify AMPs encoded by small open reading frames and AMP-containing proteins in metagenome-assembled genomes. AMP-SEMiner identified over 1.6 million AMP candidates across diverse environments. Experimental validation showed antimicrobial activity in 9 of the 20 tested candidates, with 5 surpassing antibiotic effectiveness; variant peptides derived from these candidates similarly demonstrated strong antimicrobial efficacy. AMPs from human gut microbiomes revealed both conserved and adaptive evolutionary strategies, reflecting their dynamic ecological roles. AMP-SEMiner thus represents a valuable tool for expanding AMP discovery and has significant potential to inform the development of alternative antimicrobial treatments.

RevDate: 2025-05-30
CmpDate: 2025-05-30

Xing Y, Hernandez Santos HJ, Qiu L, et al (2025)

Phage-induced protection against lethal bacterial reinfection.

Proceedings of the National Academy of Sciences of the United States of America, 122(22):e2423286122.

Bacteriophages, or phages, are viruses that target and infect bacteria. Due to a worldwide rise in antimicrobial resistance (AMR), phages have been proposed as a promising alternative to antibiotics for the treatment of resistant bacterial infections. Up to this point in history, phage use in preclinical animal studies, clinical trials, and emergency-use compassionate care cases has centered around the original observation from 1915 showing phage as lytic agent, and thus a treatment that kills bacteria. Here, we describe an activity associated with phage therapy that extends beyond lytic activity that results in long-term protection against reinfection. This activity is potent, providing almost complete protection against a second lethal infection for animals treated with phage therapy. The activity also reduced infection burden an astounding billion-fold over the control. Reinfection protection requires phage lytic killing of its target bacterium but is independent of additional phage therapy. The effect is not driven by phage alone, lingering phage resistors, or a sublethal inoculum. In vitro phage-lysed bacteria provide partial protection, suggesting a combination of phage-induced lytic activity and immune stimulation by phage treatment is responsible for the effect. These observations imply certain phages may induce host adaptive responses following the lysis of the infecting bacteria. This work suggests phage therapy may contain a dual-action effect, an initial treatment efficacy followed by a long-term protection against reoccurring infection, a therapeutic-vaccination mechanism of action.

RevDate: 2025-05-30

Schuele L, Masirika LM, Cassidy H, et al (2025)

Metagenomic sequencing of mpox virus clade Ib lesions identifies possible bacterial and viral co-infections in hospitalized patients in eastern DRC.

Microbiology spectrum [Epub ahead of print].

Mpox is an emerging zoonotic disease that caused two public health emergencies of international concern within two years. Less is known about the interplay of microbial organisms in mpox lesions which could result in superinfections that exacerbate outcomes or delay recovery. We utilized a unified metagenomic sequencing approach involving slow-speed centrifugation and differential lysis on 19 mpox lesion swabs of hospitalized patients in South Kivu province (eastern DRC) to characterize bacteria, antimicrobial resistance genes, mpox virus (MPXV), and viral co-infections. High-quality MPXV whole-genome sequences were obtained until a Ct value of 27. Furthermore, co-infections with other clinically relevant viruses, such as varicella zoster virus and herpes simplex virus-2, were detected and confirmed by real-time PCR. In addition, metagenomic sequence analysis of the bacterial content showed the presence of bacteria associated with skin and soft tissue infection in 10 of the 19 samples analyzed. These bacteria had a high abundance of resistance genes, with possible implications for antimicrobial treatment based on the predicted antimicrobial resistance. In conclusion, we report the presence of bacterial and viral pathogens in mpox lesions and detection of widespread resistance genes to the standard antibiotic treatment. The possibility of a co-infection, including antimicrobial resistance, should be considered when discussing treatment options, along with the determination of the case-fatality ratio.IMPORTANCEThe mpox virus clade Ib lineage emerged in the eastern Democratic Republic of the Congo owing to continuous human-to-human transmission in a vulnerable patient population. A major challenge of this ongoing outbreak is its occurrence in regions with severely limited healthcare infrastructure. As a result, less is known about co-infections in affected patients. Identifying and characterizing pathogens, including their antimicrobial resistance, is crucial for reducing infection-related complications and improving antimicrobial stewardship. In this study, we applied a unified metagenomics approach to detect and characterize bacterial and viral co-infections in mpox lesions of hospitalized mpox patients in the eastern DRC.

RevDate: 2025-05-30
CmpDate: 2025-05-30

Mullinax SR, Darby AM, Gupta A, et al (2025)

A suite of selective pressures supports the maintenance of alleles of a Drosophila immune peptide.

eLife, 12:.

The innate immune system provides hosts with a crucial first line of defense against pathogens. While immune genes are often among the fastest evolving genes in the genome, in Drosophila, antimicrobial peptides (AMPs) are notable exceptions. Instead, AMPs may be under balancing selection, such that over evolutionary timescales, multiple alleles are maintained in populations. In this study, we focus on the Drosophila AMP Diptericin A, which has a segregating amino acid polymorphism associated with differential survival after infection with the Gram-negative bacteria Providencia rettgeri. Diptericin A also helps control opportunistic gut infections by common Drosophila gut microbes, especially those of Lactobacillus plantarum. In addition to genotypic effects on gut immunity, we also see strong sex-specific effects that are most prominent in flies without functional diptericin A. To further characterize differences in microbiomes between different diptericin genotypes, we used 16S metagenomics to look at the microbiome composition. We used both lab-reared and wild-caught flies for our sequencing and looked at overall composition as well as the differential abundance of individual bacterial families. Overall, we find flies that are homozygous for one allele of diptericin A are better equipped to survive a systemic infection from P. rettgeri, but in general have a shorter lifespans after being fed common gut commensals. Our results suggest a possible mechanism for the maintenance of genetic variation of diptericin A through the complex interactions of sex, systemic immunity, and the maintenance of the gut microbiome.

RevDate: 2025-05-30

Gao H, Guo Z, Xu R, et al (2025)

Chemolithoautotrophic Antimonite Oxidation Coupled Nitrogen Fixation in the Rhizosphere of Local Plant in Antimony Tailing Area.

Environmental science & technology [Epub ahead of print].

Antimony (Sb) tailings pose a significant environmental challenge. N-fixing microorganisms are essential for nutrient accumulation and plant colonization in degraded habitats. However, the oligotrophic conditions of tailings often inhibit the energy-intensive N-fixing process. This study identified a chemolithoautotrophic Sb(III) oxidation-coupled nitrogen fixation (SbNF) pathway in the rhizosphere of local plants. SbNF integrates biological detoxification and nutrient accumulation, enabling plant colonization and ecological restoration of degraded habitats. Multi-omic analyses reveal that Sb content strongly shapes the composition of Sb-oxidizing and N-fixing bacterial communities in the rhizosphere. Abundant marker genes for carbon fixation (cbbL), Sb(III) oxidase (aioAB/anoA), and nitrogenase (nifH) were consistently detected in SbNF metagenome-assembled genomes. Positive correlations between gene abundances associated with autotrophic potential (aioA-cbbL) and coupling potential (aioA-nifH) were observed in the rhizoplane but not in the endosphere. In addition to genetic potentials, high-throughput cultivation of native SbNF-isolates (e.g., Pseudomonas, Arthrobacter, and Sphingomonas) confirmed their rapid Sb(III) oxidation coupling autotrophic growth and nitrogen fixation. Isolates also exhibited plant growth-promoting traits, including indole-3-acetic acid production, phosphate solubilization, and siderophore secretion, providing multiple benefits to host plants. Co-cultivation of these isolates revealed minimal antagonism, suggesting the potential for designing synthetic microbial communities for sustainable phytoremediation. Cross-validation further suggests that SbNF is widespread in the rhizosphere of various local plants. These findings uncover a novel biogeochemical process in the rhizosphere, linking mineral oxidation, autotrophic growth, and nitrogen fixation, highlighting its importance for the ecological restoration of degraded tailing area.

RevDate: 2025-05-30

Andréani J, Smiljkovic M, Lametery E, et al (2025)

Metagenomics Diagnosis of a Parvovirus B19-Associated Encephalomyelitis in an Epidemic Context.

The Pediatric infectious disease journal pii:00006454-990000000-01340 [Epub ahead of print].

In the context of increasing parvovirus B19 (B19V) infections, we describe a case of B19V encephalomyelitis without any usually associated clinical features. Etiology was identified by metagenomics and confirmed by PCR and whole-genome sequencing. This case highlights the need to consider the diagnosis of B19V infection in patients presenting with neurological symptoms.

RevDate: 2025-05-30

Harrison K, Rapp JZ, Jaffe AL, et al (2025)

Chemoautotrophy in subzero environments and the potential for cold-adapted Rubisco.

Applied and environmental microbiology [Epub ahead of print].

The act of fixing inorganic carbon into the biosphere is largely facilitated by one enzyme, Rubisco. Beyond well-studied plants and cyanobacteria, many bacteria use Rubisco for chemolithoautotrophy in extreme environments on Earth. Here, we characterized the diversity of autotrophic pathways and chemolithoautotrophic Rubiscos from two distinct subzero, hypersaline Arctic environments: 40-kyr relic marine brines encased within permafrost (cryopeg brines) and first-year sea ice. The Calvin-Benson-Bassham (CBB) cycle was widely found in both environments, although with different predominant Rubisco forms. From cryopeg brine, reconstructions of metagenome-assembled genomes (MAGs) uncovered four MAGs with the potential for chemolithoautotrophy, of which the CBB-containing genus Thiomicrorhabdus was most abundant. A broader survey of Thiomicrorhabdus genomes from diverse environments identified a core complement of three Rubisco forms (II, IAc, IAq) with a complex pattern of gain and loss, with form II constitutively present in genomes from subzero environments. Using representative kinetic data, we modeled carboxylation rates of Rubisco forms II, IAc, and IAq across CO2, O2, and temperature conditions. We found that form II outcompetes form I at low O2, but cold temperatures minimize this advantage. Inspection of form II from genomes from cold environments identified signals of potential thermal adaptation due to key amino acid substitutions, which resulted in a more exposed active site. We argue that subzero form II from Thiomicrorhabdus warrants further study as it may have unique kinetics or thermal stability. This work can help address the limits of autotrophic functionality in extreme environments on Earth and other planetary bodies.IMPORTANCEAutotrophy, or the fixation of inorganic carbon to biomass, is a key factor in life's ability to thrive on Earth. Research on autotrophy has focused on plants and algae, but many bacteria are also autotrophic and can survive and thrive under more extreme conditions. These bacteria are a window to past autotrophy on Earth, as well as potential autotrophy in extreme environments elsewhere in the universe. Our study focused on dark, cold, saline environments, which are likely to be found on Enceladus and Europa, as well as in the Martian subsurface. We found evidence for potential cold adaptation in a key autotrophic enzyme, Rubisco, which could expand the known boundaries of autotrophy in rapidly disappearing icy environments on Earth. We also present a novel model framework that can be used to probe the limits of autotrophy not only on Earth but also on key astrobiological targets like Enceladus and Europa.

RevDate: 2025-05-30

Yi H, Zhang S, Wang J, et al (2025)

CT Features for Prognostic Assessment of Pulmonary Mucormycosis in Patients With Hematological Diseases.

Journal of thoracic imaging pii:00005382-990000000-00176 [Epub ahead of print].

PURPOSE: To explore the CT features in prognostic evaluations for pulmonary mucormycosis in patients with hematological diseases.

MATERIALS AND METHODS: A retrospective analysis of clinical data and chest CT features of 53 HD patients with PM was conducted. Univariate and multivariate logistic regression analyses were used to determine the risk factors for death. The Cox regression model was used to analyze the factors affecting the survival rate.

RESULTS: A total of 30 patients with proven PM and 23 with probable PM were included. All 30 patients with proven PM underwent bronchoscopy-guided biopsy, among which 9 cases underwent surgical resection. Of the 23 patients with probable PM, 5 cases had positive results in sputum smear microscopy, 4 cases in sputum culture, 13 cases in bronchoalveolar lavage fluid (BALF) microscopy, and 1 case in BALF culture. All identification of pathogen genera and partial species was conducted by metagenomic next-generation sequencing (mNGS) testing. In the multivariate regression analysis, the CT feature of multiple lesions (≥2) on the initial CT scan was an independent risk factor for mortality (P=0.019). Cox survival analysis demonstrated a significantly lower survival rate (P=0.043) in patients exhibiting the CT feature of multiple lesions on the initial CT scan.

CONCLUSIONS: The CT feature of multiple lesions (≥2) on the initial CT may serve as an independent risk factor for mortality in patients with hematologic disorders with pulmonary mucormycosis.

RevDate: 2025-05-30

Burdon I, Bouras G, Fenix K, et al (2025)

Metagenomics or Metataxonomics: Best Practice Methods to Uncover the Sinus Microbiome.

International forum of allergy & rhinology [Epub ahead of print].

RevDate: 2025-05-30

Pacheco-Dorantes C, Tovar-Pedraza JM, Ochoa-Martínez DL, et al (2025)

Unleashing the potential of high-throughput sequencing for plant virus and viroid detection in Mexico.

Frontiers in microbiology, 16:1603010.

High-throughput sequencing (HTS) has revolutionized plant virology in Mexico by enhancing the detection and characterization of plant viruses and viroids. This technology has contributed to identifying previously neglected pathogens affecting key crops such as corn, beans, and tomato. The use of HTS has also revealed the presence of mixed viral infections, highlighting the complexity of plant viromes within agricultural ecosystems. Furthermore, metagenomic studies have demonstrated the role of water sources as reservoirs for plant viruses, underscoring the urgent need for improved management strategies. Despite its advantages, the widespread adoption of HTS faces challenges, including high costs, the need for bioinformatics expertise, and infrastructure limitations. Supporting collaborations between research institutions and regulatory agencies is crucial to integrating HTS into routine phytosanitary programs. Future research should aim to expand HTS applications to include epidemiological monitoring, resistance breeding, and the development of sustainable management strategies to mitigate the impact of emerging plant viruses in Mexico.

RevDate: 2025-05-30
CmpDate: 2025-05-30

Wang Y, Ma X, Ma C, et al (2025)

Case Report: Anti-NMDAR encephalitis associated with neurobrucellosis: causality or coexistence?.

Frontiers in immunology, 16:1536740.

Human brucellosis, caused by Brucella, is an infectious disease with specific endemic regions, especially in pastoral areas, and may affect multiple organ systems. Neurological involvement, namely neurobrucellosis, occurs in very few of these patients. Anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis is the most frequent type of autoimmune encephalitis and is usually associated with tumors or herpes simplex virus infections. However, the link between the two disease entities is unknown. In this report, we present a rare case of a 29-year-old Chinese man with anti-NMDAR encephalitis associated with neurobrucellosis, with the detection of anti-NMDAR antibodies by cell-based assay and Brucella melitensis by metagenomic next-generation sequencing in his cerebrospinal fluid sample. The patient improved after antimicrobial treatment and immunotherapies, including steroids and intravenous immunoglobulin. This case implicates Brucella infection as a possible trigger for the production of anti-NMDAR antibodies, and prospective studies should reveal whether there is a casual relationship between brucellosis and anti-NMDAR antibodies.

RevDate: 2025-05-30
CmpDate: 2025-05-30

Zhang C, Xu Y, Zhang M, et al (2025)

An exploratory study on the metagenomic and proteomic characterization of hypothyroidism in the first half of pregnancy and correlation with Th1/Th2 balance.

Frontiers in immunology, 16:1500866.

OBJECTIVE: To explore the gut microbiota and proteomic characteristics of hypothyroidism in the first half of pregnancy (referred to as hypothyroidism in the first half of pregnancy) and its association with Th (T helper cells, Th)1/Th2 balance using metagenomics combined with proteomics.

METHODS: Stool and blood samples were collected from 20 hypothyroid (hypothyroidism group) and normal pregnant women (normal group) in the first half of pregnancy. Flora and proteomic characteristics were analyzed using metagenomics sequencing and 4D-DIA proteomics. Th1 and Th2 cells were quantified, and cytokine levels were measured using cellular micro-bead arra. The enzyme-linked immunosorbent test (ELISA) was utilized to assess differential proteins.

RESULTS: (1) Metagenomic sequencing revealed distinct microbial profiles: The β-diversity of gut microbiota was diminished in the hypothyroidism group (p < 0.05). LEfSe analysis identified Phocaeicola vulgatus and Bacteroides fragilis enriched in the hypothyroidism group (p<0.05), and Kyoto Encyclopedia of Genes and Genomes(KEGG) analysis showed significant enrichment in pathways related to peptidoglycan biosynthesis and glycerol ester metabolism.(2) Proteomic analysis demonstrated downregulation of Diacylglycerol Kinase Kappa (DGKK) and P05109|S10A8(S10A8) proteins in the hypothyroidism group, with marked enrichment in the KEGG pathways for vascular smooth muscle contraction and phosphatidylinositol signaling. (3) ELISA validation confirmed that the proteins DGKK and S10A8 were downregulated in pregnant women in the hypothyroidism group.

CONCLUSION: Increased P. vulgatus and B. fragilis, decreased DGKK and S10A8 proteins, and a left shift in the Th1/Th2 balance in patients with hypothyroidism in the first half of pregnancy may be associated with the development of the disease.

RevDate: 2025-05-29
CmpDate: 2025-05-30

Pivrncova E, Bohm J, Barton V, et al (2025)

Viable bacterial communities in freshly pumped human milk and their changes during cold storage conditions.

International breastfeeding journal, 20(1):44.

BACKGROUND: Human milk harbors diverse bacterial communities that contribute to infant health. Although pumping and storing milk is a common practice, the viable bacterial composition of pumped milk and the impact of storage practice on these bacteria remains under-explored. This metagenomic observational study aimed to characterize viable bacterial communities in freshly pumped human milk and its changes under different storage conditions.

METHODS: In 2023, twelve lactating mothers from the CELSPAC: TNG cohort (Czech Republic) provided freshly pumped milk samples. These samples were stored under various conditions (refrigeration for 24 h, 48 h, or freezing for six weeks) and treated with propidium monoazide (PMA) to selectively identify viable cells. The DNA extracted from individual samples was subsequently analyzed using 16S rRNA amplicon sequencing on the Illumina platform.

RESULTS: The genera Streptococcus, Staphylococcus, Diaphorobacter, Cutibacterium, and Corynebacterium were the most common viable bacteria in fresh human milk. The median sequencing depth and Shannon index of fresh human milk samples treated with PMA (+ PMA) were significantly lower than in untreated (-PMA) samples (p < 0.05 for all), which was true also for each time point. Also, significant changes in these parameters were observed between fresh human milk samples and their paired frozen samples (p < 0.05), while no differences were found between fresh human milk samples and those refrigerated for up to 48 h (p > 0.05). Of specific genera, only + PMA frozen human milk samples showed a significant decrease in the central log-ratio transformed relative abundances of the genera Diaphorobacter and Cutibacterium (p < 0.05) in comparison to + PMA fresh human milk samples.

CONCLUSIONS: The study demonstrated that the bacterial profiles significantly differed between human milk samples treated with PMA, which represent only viable bacteria, and those untreated. While storage at 4 °C for up to 48 h did not significantly alter the overall diversity and composition of viable bacteria in human milk, freezing notably affected both the viability and relative abundances of some bacterial genera.

RevDate: 2025-05-29

Tzlil G, Marín MDC, Matsuzaki Y, et al (2025)

Structural insights into light harvesting by antenna-containing rhodopsins in marine Asgard archaea.

Nature microbiology [Epub ahead of print].

Aquatic bacterial rhodopsin proton pumps harvest light energy for photoheterotrophic growth and are known to contain hydroxylated carotenoids that expand the wavelengths of light utilized, but these have not been characterized in marine archaea. Here, by combining a marine chromophore extract with purified archaeal rhodopsins identified in marine metagenomes, we show light energy transfer from diverse hydroxylated carotenoids to heimdallarchaeial rhodopsins (HeimdallRs) from uncultured marine planktonic members of 'Candidatus Kariarchaeaceae' ('Candidatus Asgardarchaeota'). These light-harvesting antennas absorb in the blue-light range and transfer energy to the green-light-absorbing retinal chromophore within HeimdallRs, enabling the use of light that is otherwise unavailable to the rhodopsin. Furthermore, we show elevated proton pumping by the antennas in HeimdallRs under white-light illumination, which better simulates the light conditions encountered by these archaea in their natural habitats. Our results indicate that light-harvesting antennas in microbial rhodopsins exist in families beyond xanthorhodopsins and proteorhodopsins and are present in both marine bacteria and archaea.

RevDate: 2025-05-29
CmpDate: 2025-05-29

Li X, Tang C, Zhou M, et al (2025)

Characteristics of SARS-CoV-2 variants and potential co-infected pathogens in hospitalized patients based on metagenomic next-generation sequencing.

Scientific reports, 15(1):18923.

Metagenomic next-generation sequencing (mNGS) is widely used to diagnose complex infections in hospitalized patients, particularly those associated with COVID-19 which has garnered significant concern over the past five years. To investigate the molecular epidemic of the viral variant and the potential co-infection pathogens, we conducted retrospective mNGS analysis of 254 SARS-CoV-2-positive specimens collected from 200 hospitalized patients between March and September 2023. Phylogenetic analysis of the identified Omicron subvariants showed minimal evolutionary divergence, with no association between sub-lineages and pneumonia severity. Notably, mNGS demonstrated enhanced detection of polymicrobial coinfections, identifying bacterial, fungal, and viral co-pathogens in 92.5% (185/200) of cases. Pneumonia severity was associated with advanced age (proportion of elderly patients: 61.1 vs 78.3%; p = 0.032) and comorbid conditions, particularly diabetes mellitus (OR 2.03, 95% CI 1.03-4.02, p = 0.041), but showed no correlation with SARS-CoV-2 sub-lineages or coinfecting pathogens. While mNGS enhances coinfection diagnosis, COVID-19 outcomes are predominantly driven by host factors rather than Omicron subvariant evolution. Prioritized monitoring of elderly and comorbid individuals remained critical for severe pneumonia management.

RevDate: 2025-05-29
CmpDate: 2025-05-29

Seong HJ, Park YM, Kim BS, et al (2025)

Integrated multi-omics reveals different host crosstalk of atopic dermatitis-enriched Bifidobacterium longum Strains.

NPJ biofilms and microbiomes, 11(1):91.

The infant gut microbiome is essential for long-term health and is linked to atopic dermatitis (AD), although the underlying mechanisms are not fully understood. This study investigated gut microbiome-host interactions in 31 infants with AD and 29 healthy controls using multi-omics approaches, including metagenomic, host transcriptomic, and metabolomic analyses. Microbial diversity was significantly altered in AD, with Bifidobacterium longum and Clostridium innocuum associated with these changes. At the strain-level, only B. longum differed significantly between groups, with pangenome analyses identifying genetic variations potentially affecting amino acid and lipid metabolites. Notably, B. longum subclade I, which was more prevalent in healthy controls, correlated with host transcriptomic pathways involved in phosphatidylinositol 3-kinase-AKT signaling and neuroactive ligand-receptor pathways, as well as specific metabolites, including tetrahydrocortisol and ornithine. These findings highlight the role of B. longum strain-level variation in infants, offering new insights into microbiome-host interactions related to AD.

RevDate: 2025-05-29

Yang Y, Duan Y, Lang S, et al (2025)

Targeted inhibition of pathobiont virulence factor mitigates alcohol-associated liver disease.

Cell host & microbe pii:S1931-3128(25)00182-9 [Epub ahead of print].

Alcohol-associated liver disease poses a global health burden with high mortality. Imbalances in the gut microbiota are important for disease progression. Using metagenomic sequencing of fecal samples from a multicenter, international cohort of patients with alcohol-associated hepatitis, we found that the presence of virulence factor KpsM, encoded in the genome of Escherichia coli (E. coli), correlated with patient mortality. Functional studies using gnotobiotic mouse models and genetic manipulation of bacteria demonstrated that kpsM-positive E. coli exacerbate ethanol-induced liver disease. The kpsM gene mediates the translocation of capsular polysaccharides to the cell surface. This enables kpsM-positive E. coli to evade phagocytosis by the scavenger receptor Marco on Kupffer cells in the liver, leading to bacterial spread. Importantly, inhibiting kpsM-dependent capsules with the small molecule 2-(4-phenylphenyl)benzo[g]quinoline-4-carboxylic acid (C7) attenuated ethanol-induced liver disease in mice. We show that precision targeting of the virulence factor KpsM is a promising approach to improve outcomes of patients with alcohol-associated hepatitis.

RevDate: 2025-05-29

Shirai T, Motooka D, Ushikai Y, et al (2025)

Molecular epidemiology of human sapovirus based on the surveillance of wastewater and patients with acute gastroenteritis in Osaka, Japan.

The Science of the total environment, 985:179622 pii:S0048-9697(25)01263-X [Epub ahead of print].

Wastewater-based epidemiology has recently emerged as a promising tool for determining the prevalence of infectious diseases in a community. In the present study, human sapoviruses (HuSaVs) detected in wastewater collected weekly from January 2023 to March 2024 were analyzed using qPCR and next-generation sequencing (NGS), and the results were compared with those from clinical surveillance samples obtained from patients with acute gastroenteritis (AGE) in Osaka Prefecture, Japan. The detection trend of HuSaV in wastewater agreed with the clinical surveillance data in that HuSaV genomes increased in the cold season. In wastewater surveillance, five genotypes were detected, including GI.1, GI.2, GII.3, GII.5, and GV.1. GI.2 was not detected in the clinical surveillance. In the phylogenetic analysis, VP1 gene sequences obtained from wastewater were positioned in close proximity to those obtained from clinical samples. It is suggested that the results of wastewater surveillance reflect the status of ongoing HuSaV infection in a community. Interestingly, GV.1 was detected less frequently than GI.1 in clinical surveillance samples, but was predominantly detected in wastewater at nearly all time points, accounting for up to 94.5 % of all reads in November 2023. In particular, in November 2023, most gastroenteritis outbreaks and pediatric AGE cases were attributable to GI.1, but GV.1 was present at a higher proportion in the wastewater surveillance than GI.1. Wastewater surveillance was shown to complement clinical surveillance in that the former might be able to cover asymptomatic carriers. Our results demonstrate the importance of systematic clinical and wastewater surveillance in epidemiological analyses of HuSaV.

RevDate: 2025-05-29

Ning J, Du Y, Wang J, et al (2025)

Contribution of Microbial Metabolism to Geogenic Phosphorus Enrichment in Groundwater: Insights from Metagenomic Sequencing and Organic Molecular Characterization.

Environmental science & technology [Epub ahead of print].

Microbial mediation in the enrichment of geogenic phosphorus (P) is often mentioned but rarely explored, especially in P enrichment processes through the mineralization of dissolved organic matter (DOM) containing natural P. To bridge the theoretical gap, this study investigated the mechanisms of P enrichment through microbially mediated mineralization of natural P-containing DOM by adopting an approach combining comprehensive field investigation with hydrochemical and molecular biological analyses. The co-analysis of the dominant microbial community compositions and genomics revealed that the microbial metabolism pathways involved in the biodegradation of P-containing DOM were associated with the enrichment level of dissolved inorganic phosphorus (DIP). Specifically, dephosphorylation was more pronounced under conditions of limited DIP, while C-P bond cleavage was the primary metabolic pathway under sufficient DIP. Co-occurrence network analysis further indicated that the substrates for DIP enrichment differed between dephosphorylation and C-P bond cleavage, namely CHONSP1 compounds in the region of highly unsaturated-low O compounds (AI ≤ 0.5, H/C < 1.5, and O/C < 0.4) and CHOP1 compounds in the region of highly unsaturated-high O compounds (AI ≤ 0.5, H/C < 1.5, and O/C ≥ 0.4), respectively. These findings provide new insights into geogenic P enrichment in groundwater from the perspective of microbial metabolism and have potential implications for the bioremediation of P-contaminated groundwater at different contamination levels.

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