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ESP: PubMed Auto Bibliography 18 Mar 2026 at 01:31 Created:
Metagenomics
While genomics is the study of DNA extracted from individuals — individual cells, tissues, or organisms — metagenomics is a more recent refinement that analyzes samples of pooled DNA taken from the environment, not from an individual. Like genomics, metagenomic methods have great potential in many areas of biology, but none so much as in providing access to the hitherto invisible world of unculturable microbes, often estimated to comprise 90% or more of bacterial species and, in some ecosystems, the bulk of the biomass. A recent describes how this new science of metagenomics is beginning to reveal the secrets of our microbial world: The opportunity that stands before microbiologists today is akin to a reinvention of the microscope in the expanse of research questions it opens to investigation. Metagenomics provides a new way of examining the microbial world that not only will transform modern microbiology but has the potential to revolutionize understanding of the entire living world. In metagenomics, the power of genomic analysis is applied to entire communities of microbes, bypassing the need to isolate and culture individual bacterial community members.
Created with PubMed® Query: ( metagenomic OR metagenomics OR metagenome ) NOT pmcbook NOT ispreviousversion
Citations The Papers (from PubMed®)
RevDate: 2026-03-17
CmpDate: 2026-03-17
ABaCo: addressing heterogeneity challenges in metagenomic data integration with adversarial generative models.
Nucleic acids research, 54(5):.
The rapid advancement of high-throughput metagenomics has produced extensive and heterogeneous datasets with significant implications for environmental and human health. Integrating these datasets is crucial for understanding the functional roles of microbiomes and the interactions within microbial communities. However, this integration remains challenging due to technical heterogeneity and the inherent complexity of these biological systems. To address these challenges, we introduce ABaCo, a generative model that combines a variational autoencoder with an adversarial discriminator specifically designed to handle the unique characteristics of metagenomic data. Our results demonstrate that ABaCo effectively integrates metagenomic data from multiple studies, corrects technical heterogeneity, outperforms existing methods, and preserves taxonomic-level biological signals. We have developed ABaCo as an open-source, fully documented Python library to facilitate, support and enhance metagenomics research in the scientific community.
Additional Links: PMID-41841491
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@article {pmid41841491,
year = {2026},
author = {Vidal, E and Phanthanourak, AL and Gharib, A and Webel, H and Assis, J and Ayala-Ruano, S and Cunha, AF and Santos, A},
title = {ABaCo: addressing heterogeneity challenges in metagenomic data integration with adversarial generative models.},
journal = {Nucleic acids research},
volume = {54},
number = {5},
pages = {},
doi = {10.1093/nar/gkag227},
pmid = {41841491},
issn = {1362-4962},
support = {NNF20CC0035580//Novo Nordisk Foundation/ ; Pasteur Network, Sep/2023//Calmette & Yersin PhD Grant/ ; NNF20CC0035580//Novo Nordisk Foundation/ ; },
mesh = {*Metagenomics/methods ; Humans ; *Software ; Microbiota/genetics ; Metagenome ; Algorithms ; },
abstract = {The rapid advancement of high-throughput metagenomics has produced extensive and heterogeneous datasets with significant implications for environmental and human health. Integrating these datasets is crucial for understanding the functional roles of microbiomes and the interactions within microbial communities. However, this integration remains challenging due to technical heterogeneity and the inherent complexity of these biological systems. To address these challenges, we introduce ABaCo, a generative model that combines a variational autoencoder with an adversarial discriminator specifically designed to handle the unique characteristics of metagenomic data. Our results demonstrate that ABaCo effectively integrates metagenomic data from multiple studies, corrects technical heterogeneity, outperforms existing methods, and preserves taxonomic-level biological signals. We have developed ABaCo as an open-source, fully documented Python library to facilitate, support and enhance metagenomics research in the scientific community.},
}
MeSH Terms:
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*Metagenomics/methods
Humans
*Software
Microbiota/genetics
Metagenome
Algorithms
RevDate: 2026-03-17
CmpDate: 2026-03-17
Limousia bacteria encode mucinolysome for mucin utilization in animal gut microbiomes.
Gut microbes, 18(1):2645267.
Mucins create a physical barrier that protects human and animal tissues from microbial pathogens. Here, we provide evidence that mucin degradation can be mediated by unique mucinolysomes, defined as extracellular cellulosome-like multi-enzyme complexes specializing in mucin degradation. We predicted the presence of mucinolysomes across 63 metagenome-assembled genomes (MAGs) and two isolated genomes of three anaerobic species of Limousia, including seven MAGs from human gut microbiome samples from six countries. We validated that mucins can support the growth of the Limousia strain ET540 as its sole carbon source, triggering the upregulation of most mucinolysome-related genes in ET540. We modeled the mucinolysome assembly by predicting cohesin‒dockerin interactions among most of the mucinolysome proteins using AlphaFold3. We performed metagenomic read mapping of 2897 fecal samples from various human cohorts and wild/domesticated animals against Limousia MAGs. We found that Limousia has a greater abundance and prevalence in farm animals than in humans. This study characterizes and adds the Limousia bacteria as unique member to the list of human and animal gut mucin glycan-degrading bacteria. Overall, we discovered that this novel gut bacteria genus (Limousia) uses a previously unrecognized molecular mechanism for highly organized mucin glycan degradation, shedding new light on microbe‒host interactions in the gastrointestinal tracts of diverse animal hosts, including humans.
Additional Links: PMID-41841524
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@article {pmid41841524,
year = {2026},
author = {Akresi, JE and Do, TVT and Cui, Z and Shanmugam, NRS and Moraïs, S and Mizrahi, I and Bayer, EA and Auchtung, JM and Yin, Y},
title = {Limousia bacteria encode mucinolysome for mucin utilization in animal gut microbiomes.},
journal = {Gut microbes},
volume = {18},
number = {1},
pages = {2645267},
doi = {10.1080/19490976.2026.2645267},
pmid = {41841524},
issn = {1949-0984},
mesh = {*Mucins/metabolism ; Animals ; *Gastrointestinal Microbiome ; Humans ; Feces/microbiology ; Metagenome ; *Bacteria/genetics/metabolism/classification/isolation & purification ; Metagenomics ; },
abstract = {Mucins create a physical barrier that protects human and animal tissues from microbial pathogens. Here, we provide evidence that mucin degradation can be mediated by unique mucinolysomes, defined as extracellular cellulosome-like multi-enzyme complexes specializing in mucin degradation. We predicted the presence of mucinolysomes across 63 metagenome-assembled genomes (MAGs) and two isolated genomes of three anaerobic species of Limousia, including seven MAGs from human gut microbiome samples from six countries. We validated that mucins can support the growth of the Limousia strain ET540 as its sole carbon source, triggering the upregulation of most mucinolysome-related genes in ET540. We modeled the mucinolysome assembly by predicting cohesin‒dockerin interactions among most of the mucinolysome proteins using AlphaFold3. We performed metagenomic read mapping of 2897 fecal samples from various human cohorts and wild/domesticated animals against Limousia MAGs. We found that Limousia has a greater abundance and prevalence in farm animals than in humans. This study characterizes and adds the Limousia bacteria as unique member to the list of human and animal gut mucin glycan-degrading bacteria. Overall, we discovered that this novel gut bacteria genus (Limousia) uses a previously unrecognized molecular mechanism for highly organized mucin glycan degradation, shedding new light on microbe‒host interactions in the gastrointestinal tracts of diverse animal hosts, including humans.},
}
MeSH Terms:
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*Mucins/metabolism
Animals
*Gastrointestinal Microbiome
Humans
Feces/microbiology
Metagenome
*Bacteria/genetics/metabolism/classification/isolation & purification
Metagenomics
RevDate: 2026-03-17
Gut Microbiome Composition and Function, Diet and Clinical Factors in Relation to Fermentable Carbohydrate-Induced Bloating: A Double-Blind, Randomized, Crossover Trial.
The American journal of gastroenterology pii:00000434-990000000-02142 [Epub ahead of print].
BACKGROUND: Specific foods are associated with abdominal bloating, which can significantly impact quality of life.
OBJECTIVE: To identify responders to fiber-induced bloating and the mechanisms underpinning clinical and microbial responses.
DESIGN: Double-blind, placebo-controlled, randomized, 2-period, 2-challenge crossover trial in 41 individuals with functional bloating. Participants were randomized to 8 g/d of fructan or α-galacto-oligosaccharides (α-GOS) for 7 days with a 21-day washout. Clinical, nutritional, microbial (shotgun sequencing, metatranscriptomics) and fermentation (short-chain fatty acids, volatile organic compounds, breath hydrogen) profiles were characterized prior to each challenge to identify factors predicting response, and after the challenge to elucidate mechanisms underpinning food-induced bloating.
RESULTS: Thirty-nine participants completed both challenges (39 fructan, 40 α-GOS). Overall, seven (7/39, 17.9%) participants were fructan responders and eight (8/40, 20%) were α-GOS responders (experienced fiber-related symptom induction). Clinical metrics indicative of bloating distinguished responders and non-responders to both challenges, including greater abdominal girth (fructan, p = 0.009; α-GOS, p = 0.030). α-GOS responders had higher breath hydrogen (H2) pre-challenge than α-GOS non-responders (p = 0.011). Trends were identified within metagenomic and metatranscriptomic gut microbial analyses, with higher carbohydrate active enzyme (CAZyme) diversity in fructan responders (pre-challenge, adjusted p-value (padj) = 0.024; post-challenge, padj = 0.042), and greater increase in gene expression for gamma-aminobutyric acid (GABA) degradation in α-GOS responders (padj = 0.041).
CONCLUSION: A higher burden of GI symptoms predicts clinical response to fermentable fibers in functional bloating, while for α-GOS, higher repeated fasting breath H2 is also a predictor. Gut microbiome function and fermentation is associated with functional bloating; however, further investigations are required to draw firm conclusions for the microbial influence in this interplay.ClinicalTrials.gov (Identifier: NCT04802798).
Additional Links: PMID-41841608
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@article {pmid41841608,
year = {2026},
author = {Farsi, DN and Cotillard, A and Wilson, B and So, D and Gibson, PS and Slater, R and Probert, C and Morris, S and Scott, SM and Quinquis, L and Pichaud, M and Shetty, S and Tap, J and Le Nevé, B and Rossi, M and Whelan, K},
title = {Gut Microbiome Composition and Function, Diet and Clinical Factors in Relation to Fermentable Carbohydrate-Induced Bloating: A Double-Blind, Randomized, Crossover Trial.},
journal = {The American journal of gastroenterology},
volume = {},
number = {},
pages = {},
doi = {10.14309/ajg.0000000000003997},
pmid = {41841608},
issn = {1572-0241},
abstract = {BACKGROUND: Specific foods are associated with abdominal bloating, which can significantly impact quality of life.
OBJECTIVE: To identify responders to fiber-induced bloating and the mechanisms underpinning clinical and microbial responses.
DESIGN: Double-blind, placebo-controlled, randomized, 2-period, 2-challenge crossover trial in 41 individuals with functional bloating. Participants were randomized to 8 g/d of fructan or α-galacto-oligosaccharides (α-GOS) for 7 days with a 21-day washout. Clinical, nutritional, microbial (shotgun sequencing, metatranscriptomics) and fermentation (short-chain fatty acids, volatile organic compounds, breath hydrogen) profiles were characterized prior to each challenge to identify factors predicting response, and after the challenge to elucidate mechanisms underpinning food-induced bloating.
RESULTS: Thirty-nine participants completed both challenges (39 fructan, 40 α-GOS). Overall, seven (7/39, 17.9%) participants were fructan responders and eight (8/40, 20%) were α-GOS responders (experienced fiber-related symptom induction). Clinical metrics indicative of bloating distinguished responders and non-responders to both challenges, including greater abdominal girth (fructan, p = 0.009; α-GOS, p = 0.030). α-GOS responders had higher breath hydrogen (H2) pre-challenge than α-GOS non-responders (p = 0.011). Trends were identified within metagenomic and metatranscriptomic gut microbial analyses, with higher carbohydrate active enzyme (CAZyme) diversity in fructan responders (pre-challenge, adjusted p-value (padj) = 0.024; post-challenge, padj = 0.042), and greater increase in gene expression for gamma-aminobutyric acid (GABA) degradation in α-GOS responders (padj = 0.041).
CONCLUSION: A higher burden of GI symptoms predicts clinical response to fermentable fibers in functional bloating, while for α-GOS, higher repeated fasting breath H2 is also a predictor. Gut microbiome function and fermentation is associated with functional bloating; however, further investigations are required to draw firm conclusions for the microbial influence in this interplay.ClinicalTrials.gov (Identifier: NCT04802798).},
}
RevDate: 2026-03-17
CmpDate: 2026-03-17
Microbiome associated with recurrent vulvovaginal candidiasis: key characteristics and potential therapeutic targets.
Biomeditsinskaia khimiia, 72(1):62-74.
Recurrent vulvovaginal candidiasis (RVVC) is one of the most complex forms of urogenital infection in terms of its clinical burden, impact on quality of life, and difficulty in preventing relapses. The aim of this study was to comprehensively characterize the taxonomic composition and functional potential of the vaginal microbiome associated with RVVC. This case-control study included patients with RVVC and conditionally healthy women. Vaginal samples were analyzed using shotgun metagenomic sequencing, followed by taxonomic and functional annotation of the microbiome using data quality control, taxonomic classification (Kraken2, MetaPhlAn4), and functional annotation (HUMAnN 3.9). At the community structure level, the RVVC microbiome exhibited pronounced interindividual variability and did not represent a uniform microbiota configuration. The taxonomic profile of the microbiome in RVVC was characterized by an increased relative abundance of Lactobacillus iners and anaerobic taxa (Prevotella bivia, Dialister microaerophilus), forming a compact "core" of intergroup differences. Functional analysis revealed a limited but reproducible set of metabolic pathways associated with RVVC; these included pathways of purine metabolism, central carbohydrate metabolism, and biosynthesis of cofactors and cell wall components. RVVC is associated not only with changes in the taxonomic composition of the microbiota but also with a stable reconfiguration of its functional potential. The identified shifts in metabolic pathway patterns reflect a transition of the vaginal microbial community to an alternative functional state, thus highlighting the need to develop new therapeutic strategies alternative to traditional antifungal-based approaches.
Additional Links: PMID-41841712
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@article {pmid41841712,
year = {2026},
author = {Oganesyan, EG and Zhuk, AS and Venchakova, VV and Dolgo-Saburova, YV and Zhorzh, ON and Zhang, FM and Vasilyeva, NV and Taraskina, AE},
title = {Microbiome associated with recurrent vulvovaginal candidiasis: key characteristics and potential therapeutic targets.},
journal = {Biomeditsinskaia khimiia},
volume = {72},
number = {1},
pages = {62-74},
doi = {10.18097/PBMCR1644},
pmid = {41841712},
issn = {2310-6972},
mesh = {Humans ; Female ; *Candidiasis, Vulvovaginal/microbiology/drug therapy ; *Microbiota ; Adult ; Case-Control Studies ; *Vagina/microbiology ; Recurrence ; Lactobacillus/genetics/isolation & purification ; Prevotella ; },
abstract = {Recurrent vulvovaginal candidiasis (RVVC) is one of the most complex forms of urogenital infection in terms of its clinical burden, impact on quality of life, and difficulty in preventing relapses. The aim of this study was to comprehensively characterize the taxonomic composition and functional potential of the vaginal microbiome associated with RVVC. This case-control study included patients with RVVC and conditionally healthy women. Vaginal samples were analyzed using shotgun metagenomic sequencing, followed by taxonomic and functional annotation of the microbiome using data quality control, taxonomic classification (Kraken2, MetaPhlAn4), and functional annotation (HUMAnN 3.9). At the community structure level, the RVVC microbiome exhibited pronounced interindividual variability and did not represent a uniform microbiota configuration. The taxonomic profile of the microbiome in RVVC was characterized by an increased relative abundance of Lactobacillus iners and anaerobic taxa (Prevotella bivia, Dialister microaerophilus), forming a compact "core" of intergroup differences. Functional analysis revealed a limited but reproducible set of metabolic pathways associated with RVVC; these included pathways of purine metabolism, central carbohydrate metabolism, and biosynthesis of cofactors and cell wall components. RVVC is associated not only with changes in the taxonomic composition of the microbiota but also with a stable reconfiguration of its functional potential. The identified shifts in metabolic pathway patterns reflect a transition of the vaginal microbial community to an alternative functional state, thus highlighting the need to develop new therapeutic strategies alternative to traditional antifungal-based approaches.},
}
MeSH Terms:
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hide MeSH Terms
Humans
Female
*Candidiasis, Vulvovaginal/microbiology/drug therapy
*Microbiota
Adult
Case-Control Studies
*Vagina/microbiology
Recurrence
Lactobacillus/genetics/isolation & purification
Prevotella
RevDate: 2026-03-17
Acinetobacter spp. with lower susceptibility to quaternary ammonium compounds enriched in microbial communities of frequently used sinks.
Applied and environmental microbiology [Epub ahead of print].
Sanitary environments that undergo frequent cleaning and disinfection may harbor microbial communities with potential health risks. While biofilms in healthcare settings are well studied, comparatively less is known about sink-drain microbiomes in public and educational buildings, where hundreds of people may interact with shared sink fixtures. This study characterized the spatial and temporal heterogeneity of sink-drain biofilm microbiomes in academic buildings. We sampled 16 sinks from two buildings (four floors each, with sinks closest and furthest to the bathroom entrance), which are cleaned daily with quaternary ammonium compound (QAC) disinfectants, during periods of low and high student traffic (during and after academic breaks, respectively) across winter, spring, and summer. We observed significant spatial and temporal variations in microbial assemblages. Individual sinks accounted for 43% (PERMANOVA, P < 0.0001) of the variation in microbial communities. Microbiomes in each building were dominated by two genera, which together accounted for 30% of the community composition: Acinetobacter and Enhydrobacter (also classified as Moraxella) in the newer building, and Sphingomonas and Mycobacterium in the older building. Acinetobacter abundance varied seasonally and showed higher relative abundance during periods of high traffic. Metagenomic analysis of selected sinks revealed a high prevalence of qac genes and metagenome-assembled genomes (MAGs) harboring antimicrobial resistance genes (ARGs), including A. parvus. Notably, 34%-53% of qac genes were co-localized on contigs associated with mobile genetic elements. These findings suggest that disinfected sink drains serve as persistent reservoirs of diverse microorganisms and potentially mobile resistance elements.IMPORTANCESink drains are recognized as environmental reservoirs for multidrug-resistant bacteria and have been linked to healthcare-associated outbreaks. In public and educational buildings, these microbiomes are shaped by frequent human activity, making them potential sources of exposure and contributors to the environmental dissemination of antibiotic resistance genes. Quaternary ammonium compound (QAC) disinfectants are widely used on surfaces; however, they can select for resistant taxa and co-select for antibiotic resistance. In this study, despite routine cleaning of sink surfaces with QACs, public restroom sink drains remain colonized by resilient biofilms, posing a potential risk to multiple users. Additionally, factors such as human traffic and seasonal variation may influence drain usage and microbial community composition. Elucidating how seasonal dynamics and human activity shape sink-drain biofilms is essential for understanding their role in the environmental transmission of antimicrobial resistance and informing mitigation strategies in nonclinical settings.
Additional Links: PMID-41841737
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PubMed:
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@article {pmid41841737,
year = {2026},
author = {Cruz, MC and Ruhal, R and Lavin, J and Bridwell, S and Maghboli Balasjin, N and Raasch, B and Melton, R and Mayer, BK and Marshall, CW and Hristova, K},
title = {Acinetobacter spp. with lower susceptibility to quaternary ammonium compounds enriched in microbial communities of frequently used sinks.},
journal = {Applied and environmental microbiology},
volume = {},
number = {},
pages = {e0196825},
doi = {10.1128/aem.01968-25},
pmid = {41841737},
issn = {1098-5336},
abstract = {Sanitary environments that undergo frequent cleaning and disinfection may harbor microbial communities with potential health risks. While biofilms in healthcare settings are well studied, comparatively less is known about sink-drain microbiomes in public and educational buildings, where hundreds of people may interact with shared sink fixtures. This study characterized the spatial and temporal heterogeneity of sink-drain biofilm microbiomes in academic buildings. We sampled 16 sinks from two buildings (four floors each, with sinks closest and furthest to the bathroom entrance), which are cleaned daily with quaternary ammonium compound (QAC) disinfectants, during periods of low and high student traffic (during and after academic breaks, respectively) across winter, spring, and summer. We observed significant spatial and temporal variations in microbial assemblages. Individual sinks accounted for 43% (PERMANOVA, P < 0.0001) of the variation in microbial communities. Microbiomes in each building were dominated by two genera, which together accounted for 30% of the community composition: Acinetobacter and Enhydrobacter (also classified as Moraxella) in the newer building, and Sphingomonas and Mycobacterium in the older building. Acinetobacter abundance varied seasonally and showed higher relative abundance during periods of high traffic. Metagenomic analysis of selected sinks revealed a high prevalence of qac genes and metagenome-assembled genomes (MAGs) harboring antimicrobial resistance genes (ARGs), including A. parvus. Notably, 34%-53% of qac genes were co-localized on contigs associated with mobile genetic elements. These findings suggest that disinfected sink drains serve as persistent reservoirs of diverse microorganisms and potentially mobile resistance elements.IMPORTANCESink drains are recognized as environmental reservoirs for multidrug-resistant bacteria and have been linked to healthcare-associated outbreaks. In public and educational buildings, these microbiomes are shaped by frequent human activity, making them potential sources of exposure and contributors to the environmental dissemination of antibiotic resistance genes. Quaternary ammonium compound (QAC) disinfectants are widely used on surfaces; however, they can select for resistant taxa and co-select for antibiotic resistance. In this study, despite routine cleaning of sink surfaces with QACs, public restroom sink drains remain colonized by resilient biofilms, posing a potential risk to multiple users. Additionally, factors such as human traffic and seasonal variation may influence drain usage and microbial community composition. Elucidating how seasonal dynamics and human activity shape sink-drain biofilms is essential for understanding their role in the environmental transmission of antimicrobial resistance and informing mitigation strategies in nonclinical settings.},
}
RevDate: 2026-03-17
Association of nasopharyngeal Dolosigranulum pigrum and Corynebacterium species with post-acute sequelae of SARS-CoV-2 in a longitudinal cohort.
Microbiology spectrum [Epub ahead of print].
This longitudinal study investigated the differential composition of the nasopharyngeal microbiome in patients presenting different COVID-19 infectious phenotypes and its evolution during convalescence, with a focus on post-acute sequelae of SARS-CoV-2 (PASC) and its potential microbiome-related mechanisms. Microbiota composition was assessed for a cohort of healthy participants (n = 25), influenza patients (n = 24), and patients with moderate (n = 50) and severe (n = 57) COVID-19. Samples were collected at two time points: during the acute infection phase and at approximately 3-month follow-up. From collected nasopharyngeal swab samples, metagenomics using shotgun sequencing was performed and the microbiota composition was analyzed. Alpha and beta diversity analyses revealed no significant differences in overall community diversity between patient groups across visits. However, differential abundance testing identified specific species, such as Dolosigranulum pigrum and various Corynebacterium species, whose profiles correlated with PASC development. Furthermore, the analysis of microbial co-associations identifies commensal species, including D. pigrum and Corynebacterium species, which are less abundant in patients who develop PASC, consistent with a potential protective role suggested by experimental studies but not proven by our observational data. Antibiotic use was associated with lower levels of key protective taxa, which may increase susceptibility to PASC in case of superinfection. These findings highlight the potential importance of the nasopharyngeal microbiome in acute COVID-19 disease outcomes and suggest that preserving or restoring a balanced respiratory microbiome could mitigate the risk of COVID-19 persistent symptoms and PASC development. Our results may set the stage for future clinical interventions involving probiotics or microbial-derived metabolites to promote respiratory health post-COVID-19.IMPORTANCEThis study highlights the importance of bacteria naturally found in the upper respiratory tract, particularly the nasopharynx (the nasopharyngeal microbiome), in shaping how severely COVID-19 affects patients and whether they experience persistent symptoms, also called long-COVID or post-acute sequelae of SARS-CoV-2 (PASC). By examining microbiome samples from healthy people, influenza patients, and individuals with COVID-19 during acute and convalescent phases, we found that certain commensal bacteria, namely, Dolosigranulum pigrum and Corynebacterium species, were less abundant in individuals who developed long-COVID and more abundant in those who fully recovered. We also observed that antibiotic treatment was associated with lower abundances of these commensal taxa, in turn coinciding with a higher frequency of PASC. These findings suggest that the composition of the nasopharyngeal microbiome is associated with recovery trajectories after COVID-19 and motivate future research into treatments aimed toward the microbiome to improve respiratory health following infection.CLINICAL TRIALSThis study is registered with ClinicalTrials.gov as NCT05557539.
Additional Links: PMID-41841761
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PubMed:
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@article {pmid41841761,
year = {2026},
author = {Ward, B and Bindels, LB and Balligand, J-L and Bearzatto, B and Bommer, G and Cani, PD and De Greef, J and Dewulf, JP and Gatto, L and Haufroid, V and Jodogne, S and Kabamba, B and Pyr Dit Ruys, S and Vertommen, D and Yombi, JC and Belkhir, L and Elens, L},
title = {Association of nasopharyngeal Dolosigranulum pigrum and Corynebacterium species with post-acute sequelae of SARS-CoV-2 in a longitudinal cohort.},
journal = {Microbiology spectrum},
volume = {},
number = {},
pages = {e0231325},
doi = {10.1128/spectrum.02313-25},
pmid = {41841761},
issn = {2165-0497},
abstract = {This longitudinal study investigated the differential composition of the nasopharyngeal microbiome in patients presenting different COVID-19 infectious phenotypes and its evolution during convalescence, with a focus on post-acute sequelae of SARS-CoV-2 (PASC) and its potential microbiome-related mechanisms. Microbiota composition was assessed for a cohort of healthy participants (n = 25), influenza patients (n = 24), and patients with moderate (n = 50) and severe (n = 57) COVID-19. Samples were collected at two time points: during the acute infection phase and at approximately 3-month follow-up. From collected nasopharyngeal swab samples, metagenomics using shotgun sequencing was performed and the microbiota composition was analyzed. Alpha and beta diversity analyses revealed no significant differences in overall community diversity between patient groups across visits. However, differential abundance testing identified specific species, such as Dolosigranulum pigrum and various Corynebacterium species, whose profiles correlated with PASC development. Furthermore, the analysis of microbial co-associations identifies commensal species, including D. pigrum and Corynebacterium species, which are less abundant in patients who develop PASC, consistent with a potential protective role suggested by experimental studies but not proven by our observational data. Antibiotic use was associated with lower levels of key protective taxa, which may increase susceptibility to PASC in case of superinfection. These findings highlight the potential importance of the nasopharyngeal microbiome in acute COVID-19 disease outcomes and suggest that preserving or restoring a balanced respiratory microbiome could mitigate the risk of COVID-19 persistent symptoms and PASC development. Our results may set the stage for future clinical interventions involving probiotics or microbial-derived metabolites to promote respiratory health post-COVID-19.IMPORTANCEThis study highlights the importance of bacteria naturally found in the upper respiratory tract, particularly the nasopharynx (the nasopharyngeal microbiome), in shaping how severely COVID-19 affects patients and whether they experience persistent symptoms, also called long-COVID or post-acute sequelae of SARS-CoV-2 (PASC). By examining microbiome samples from healthy people, influenza patients, and individuals with COVID-19 during acute and convalescent phases, we found that certain commensal bacteria, namely, Dolosigranulum pigrum and Corynebacterium species, were less abundant in individuals who developed long-COVID and more abundant in those who fully recovered. We also observed that antibiotic treatment was associated with lower abundances of these commensal taxa, in turn coinciding with a higher frequency of PASC. These findings suggest that the composition of the nasopharyngeal microbiome is associated with recovery trajectories after COVID-19 and motivate future research into treatments aimed toward the microbiome to improve respiratory health following infection.CLINICAL TRIALSThis study is registered with ClinicalTrials.gov as NCT05557539.},
}
RevDate: 2026-03-17
CmpDate: 2026-03-17
Brain-Targeted RVG-Liposomal Melatonin Ameliorates Manganese Neurotoxicity by Enhancing Neurogenesis and Modulating Systemic Amino Acid Profiles.
Journal of pineal research, 78(2):e70137.
Chronic manganese (Mn) exposure induces severe neurotoxicity, characterized by impaired neurogenesis and disrupted metabolic homeostasis. Although melatonin (MT) possesses established neuroprotective properties, its clinical utility is hindered by poor bioavailability and limited brain delivery. Here, we developed a brain-targeted, rabies virus glycoprotein (RVG)-modified liposomal delivery system encapsulating melatonin (MT@RVG-Lip) to enhance therapeutic efficacy. Multi-omics analyses including brain and intestinal transcriptomics, serum metabolomics, and gut metagenomics were conducted to elucidate the underlying mechanisms. MT@RVG-Lip significantly improved motor deficits and enhanced neurogenesis while reducing neuroinflammation in Mn-exposed mice. Compared with regular MT and CaNa2-EDTA, MT@RVG-Lip more effectively alleviated Mn-disrupted gene expression in neurogenesis regions, particularly genes involved in amino acid metabolism. Additionally, MT@RVG-Lip demonstrated a regulatory effect on serum amino acid profiles and intestinal transporter gene expression. Gut microbiota analysis further revealed that MT@RVG-Lip partially reversed Mn-associated dysbiosis and promoted the improvement of key amino acid-related microbiota-mediated metabolic pathways. The RVG-modified liposomal formulation conferred sustained release and improved brain-targeting capability, prolonging MT bioavailability and enhancing therapeutic outcomes. These findings provide a new mechanistic framework for MT-based interventions in neurodegenerative diseases and highlight the therapeutic potential of multifunctional delivery strategies.
Additional Links: PMID-41842581
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PubMed:
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@article {pmid41842581,
year = {2026},
author = {Wang, X and Chen, J and Xia, J and Ma, T and Yang, W and Shan, T and He, W and Zhang, G and Xia, Z and Wang, W and Liu, Z and Zheng, Y and Nong, K and Niu, P and Chen, T},
title = {Brain-Targeted RVG-Liposomal Melatonin Ameliorates Manganese Neurotoxicity by Enhancing Neurogenesis and Modulating Systemic Amino Acid Profiles.},
journal = {Journal of pineal research},
volume = {78},
number = {2},
pages = {e70137},
doi = {10.1111/jpi.70137},
pmid = {41842581},
issn = {1600-079X},
support = {82173489//National Natural Science Foundation of China/ ; 7232234//Beijing Natural Science Foundation/ ; },
mesh = {Animals ; *Melatonin/pharmacology/administration & dosage ; Mice ; *Manganese/toxicity ; Liposomes ; *Brain/metabolism/drug effects ; *Neurogenesis/drug effects ; *Glycoproteins/pharmacology ; *Amino Acids/metabolism ; Male ; Mice, Inbred C57BL ; *Neurotoxicity Syndromes/drug therapy/metabolism ; *Neuroprotective Agents/pharmacology ; Gastrointestinal Microbiome/drug effects ; Peptide Fragments ; Viral Proteins ; },
abstract = {Chronic manganese (Mn) exposure induces severe neurotoxicity, characterized by impaired neurogenesis and disrupted metabolic homeostasis. Although melatonin (MT) possesses established neuroprotective properties, its clinical utility is hindered by poor bioavailability and limited brain delivery. Here, we developed a brain-targeted, rabies virus glycoprotein (RVG)-modified liposomal delivery system encapsulating melatonin (MT@RVG-Lip) to enhance therapeutic efficacy. Multi-omics analyses including brain and intestinal transcriptomics, serum metabolomics, and gut metagenomics were conducted to elucidate the underlying mechanisms. MT@RVG-Lip significantly improved motor deficits and enhanced neurogenesis while reducing neuroinflammation in Mn-exposed mice. Compared with regular MT and CaNa2-EDTA, MT@RVG-Lip more effectively alleviated Mn-disrupted gene expression in neurogenesis regions, particularly genes involved in amino acid metabolism. Additionally, MT@RVG-Lip demonstrated a regulatory effect on serum amino acid profiles and intestinal transporter gene expression. Gut microbiota analysis further revealed that MT@RVG-Lip partially reversed Mn-associated dysbiosis and promoted the improvement of key amino acid-related microbiota-mediated metabolic pathways. The RVG-modified liposomal formulation conferred sustained release and improved brain-targeting capability, prolonging MT bioavailability and enhancing therapeutic outcomes. These findings provide a new mechanistic framework for MT-based interventions in neurodegenerative diseases and highlight the therapeutic potential of multifunctional delivery strategies.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
*Melatonin/pharmacology/administration & dosage
Mice
*Manganese/toxicity
Liposomes
*Brain/metabolism/drug effects
*Neurogenesis/drug effects
*Glycoproteins/pharmacology
*Amino Acids/metabolism
Male
Mice, Inbred C57BL
*Neurotoxicity Syndromes/drug therapy/metabolism
*Neuroprotective Agents/pharmacology
Gastrointestinal Microbiome/drug effects
Peptide Fragments
Viral Proteins
RevDate: 2026-03-17
CmpDate: 2026-03-17
Dietary Quality and Microbiome Profiles among Rectal Cancer Patients: A Cross-Sectional Pilot Study.
Puerto Rico health sciences journal, 45(1):3-10.
OBJECTIVE: Examining whether gut microbial taxa abundances and predicted functional pathways correlate with dietary quality scores at the end of neoadjuvant chemoradiotherapy (nCRT) for rectal cancer (RC); identifying differentially abundant bacterial species from the pantothenate and acetyl-coenzyme A biosynthesis pathways that differ among dietary quality groups in a subset of participants.
METHODS: RC patients (n = 30) provided stool samples for 16S rRNA gene sequencing. To validate pathway predictions from the 16S rRNA gene data, stool samples from a subset of 17 participants underwent shallow shotgun metagenomics sequencing (SMS). Dietary quality was calculated using the Prime Diet Quality Score (PDQS; 24-hour recall). 16S rRNA gene data were analyzed using QIIME2, and SMS data were analyzed using HUMAnN2.
RESULTS: At the genus level, Parvimonas, Caproiciproducens, and uncultured Eggerthellaceae abundances positively correlated (Spearman's rho = 0.36 to 0.50) with PDQS scores, whereas abundances of Prevotella, Rothia, Peptostreptococcus, Paeniclostridium, Enterococcus, and Howardella correlated negatively (Spearman's rho = -0.43 to 0.36). Predicted pathways, including those related to B-vitamin biosynthesis and enzyme cofactor biosynthesis (e.g., B5/pantothenate [phosphopantothenate biosynthesis I]), were correlated with higher PDQS scores. Mean abundances of species predicted to encode the vitamin B5-CoA pathway were greater in the high- diet-quality group.
CONCLUSION: Findings suggest important associations between the taxa abundances of gut bacteria and the abundances of predicted B-vitamin biosynthesis pathways and dietary quality at the end of nCRT. Three bacterial species encoding vitamin B5-CoA biosynthesis pathways were prominent in high-dietaryquality participants.
Additional Links: PMID-41842880
PubMed:
Citation:
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@article {pmid41842880,
year = {2026},
author = {González-Mercado, VJ and Jean Lim, S and Kumar Singh, P and Sales-Martinez, S and Fernandez-Cajavilca, M and Marrero, LM and Pedro, E and D'Eramo Melkus, G},
title = {Dietary Quality and Microbiome Profiles among Rectal Cancer Patients: A Cross-Sectional Pilot Study.},
journal = {Puerto Rico health sciences journal},
volume = {45},
number = {1},
pages = {3-10},
pmid = {41842880},
issn = {2373-6011},
mesh = {Humans ; *Rectal Neoplasms/therapy/microbiology ; Male ; Female ; Middle Aged ; Pilot Projects ; *Gastrointestinal Microbiome ; *Diet ; Cross-Sectional Studies ; Aged ; RNA, Ribosomal, 16S/genetics ; Feces/microbiology ; Metagenomics ; Neoadjuvant Therapy ; },
abstract = {OBJECTIVE: Examining whether gut microbial taxa abundances and predicted functional pathways correlate with dietary quality scores at the end of neoadjuvant chemoradiotherapy (nCRT) for rectal cancer (RC); identifying differentially abundant bacterial species from the pantothenate and acetyl-coenzyme A biosynthesis pathways that differ among dietary quality groups in a subset of participants.
METHODS: RC patients (n = 30) provided stool samples for 16S rRNA gene sequencing. To validate pathway predictions from the 16S rRNA gene data, stool samples from a subset of 17 participants underwent shallow shotgun metagenomics sequencing (SMS). Dietary quality was calculated using the Prime Diet Quality Score (PDQS; 24-hour recall). 16S rRNA gene data were analyzed using QIIME2, and SMS data were analyzed using HUMAnN2.
RESULTS: At the genus level, Parvimonas, Caproiciproducens, and uncultured Eggerthellaceae abundances positively correlated (Spearman's rho = 0.36 to 0.50) with PDQS scores, whereas abundances of Prevotella, Rothia, Peptostreptococcus, Paeniclostridium, Enterococcus, and Howardella correlated negatively (Spearman's rho = -0.43 to 0.36). Predicted pathways, including those related to B-vitamin biosynthesis and enzyme cofactor biosynthesis (e.g., B5/pantothenate [phosphopantothenate biosynthesis I]), were correlated with higher PDQS scores. Mean abundances of species predicted to encode the vitamin B5-CoA pathway were greater in the high- diet-quality group.
CONCLUSION: Findings suggest important associations between the taxa abundances of gut bacteria and the abundances of predicted B-vitamin biosynthesis pathways and dietary quality at the end of nCRT. Three bacterial species encoding vitamin B5-CoA biosynthesis pathways were prominent in high-dietaryquality participants.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Rectal Neoplasms/therapy/microbiology
Male
Female
Middle Aged
Pilot Projects
*Gastrointestinal Microbiome
*Diet
Cross-Sectional Studies
Aged
RNA, Ribosomal, 16S/genetics
Feces/microbiology
Metagenomics
Neoadjuvant Therapy
RevDate: 2026-03-17
CmpDate: 2026-03-17
Microalga-virus-virophage coculture reveals co-infection of multi-virophages with a giant virus.
Archives of virology, 171(4):.
Virophages parasitize the replication of co-infecting giant viruses within eukaryotic cells, forming tripartite cell-virus-virophage (CVv) systems. Tripartite interactions are well-documented in protozoa, yet comparable systems in algae remain largely unexplored at the experimental level. Here, we report an experimentally validated CVv system involving the green, single-celled microalga Chlorella sp. DSL01, Dishui Lake large algal virus 1 (DSLLAV1), and multiple Dishui Lake virophages (DSLVs). Inoculation of Chlorella sp. DSL01 at low MOI established laboratory co-cultures in which time-series PCR detected DSLLAV1 early but not after Day 10, whereas all tested virophages persisted. Metagenomic profiling of the terminal supernatant (end-point sample) indicated a virophage-dominated assemblage with DSLV3 most represented. Droplet digital PCR at discrete time points (Days 5, 10, and 15) then provided absolute counts for DSLLAV1 and DSLV1/3/7, corroborating an early DSLLAV1 peak followed by collapse and/or a delayed rise of multiple virophages coincident with host growth recovery. Nested PCR on the algal pellet detected virophages DSLV1/3/7 but not DSLLAV1. Together, these results demonstrate that Chlorella sp. DSL01 supports co-infection by DSLLAV1 and multiple virophages, establishing an experimentally validated algal CVv system and revealing multi-virophage participation in freshwater algal virus-virophage-host dynamics.
Additional Links: PMID-41843187
PubMed:
Citation:
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@article {pmid41843187,
year = {2026},
author = {Chu, T and Wang, Q and Hu, C and Yu, J and Chen, L and Yu, Y and Wang, Y},
title = {Microalga-virus-virophage coculture reveals co-infection of multi-virophages with a giant virus.},
journal = {Archives of virology},
volume = {171},
number = {4},
pages = {},
pmid = {41843187},
issn = {1432-8798},
support = {31570112//National Natural Science Foundation of China/ ; },
mesh = {*Chlorella/virology ; Coculture Techniques ; *Microalgae/virology ; *Giant Viruses/physiology/genetics ; *Virophages/genetics/physiology ; Coinfection ; Virus Replication ; },
abstract = {Virophages parasitize the replication of co-infecting giant viruses within eukaryotic cells, forming tripartite cell-virus-virophage (CVv) systems. Tripartite interactions are well-documented in protozoa, yet comparable systems in algae remain largely unexplored at the experimental level. Here, we report an experimentally validated CVv system involving the green, single-celled microalga Chlorella sp. DSL01, Dishui Lake large algal virus 1 (DSLLAV1), and multiple Dishui Lake virophages (DSLVs). Inoculation of Chlorella sp. DSL01 at low MOI established laboratory co-cultures in which time-series PCR detected DSLLAV1 early but not after Day 10, whereas all tested virophages persisted. Metagenomic profiling of the terminal supernatant (end-point sample) indicated a virophage-dominated assemblage with DSLV3 most represented. Droplet digital PCR at discrete time points (Days 5, 10, and 15) then provided absolute counts for DSLLAV1 and DSLV1/3/7, corroborating an early DSLLAV1 peak followed by collapse and/or a delayed rise of multiple virophages coincident with host growth recovery. Nested PCR on the algal pellet detected virophages DSLV1/3/7 but not DSLLAV1. Together, these results demonstrate that Chlorella sp. DSL01 supports co-infection by DSLLAV1 and multiple virophages, establishing an experimentally validated algal CVv system and revealing multi-virophage participation in freshwater algal virus-virophage-host dynamics.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Chlorella/virology
Coculture Techniques
*Microalgae/virology
*Giant Viruses/physiology/genetics
*Virophages/genetics/physiology
Coinfection
Virus Replication
RevDate: 2026-03-17
PhaGCN_Cluster: A Scalable and Robust Framework for Automated Classification and Discovery of Viral Dark Matter from Metagenomes.
Interdisciplinary sciences, computational life sciences [Epub ahead of print].
Viruses are the most abundant biological entities on Earth, playing essential roles in shaping microbial communities, driving evolution, and maintaining ecosystem functions. Metagenomic sequencing has unveiled a vast landscape of uncharacterized viral "dark matter", comprising highly divergent sequences that elude traditional taxonomic approaches. Here, we develop PhaGCN_Cluster, a next-generation viral classification tool built upon a graph convolutional neural network (GCN) framework. By integrating protein-level sequence similarity and contig-level genomic features, PhaGCN_Cluster establishes a scalable knowledge graph-based analytical system. The optimized algorithm yields significant gains in computational efficiency, supporting accurate taxonomic assignment of up to 300,000 contigs per run. Compared with existing methods, PhaGCN_Cluster demonstrates superior classification accuracy and F1-scores, particularly under conditions of low sequence similarity, and exhibits strong robustness in detecting evolutionarily distant viruses. Notably, PhaGCN_Cluster incorporates an updated logic for assigning "_like" taxa, which enhances its capacity to accommodate novel viral groups while preserving high precision-though at the cost of a slight reduction in recall. By generating high-fidelity network graphs, PhaGCN_Cluster uncovers previously unrecognized clades and bridges evolutionary gaps between reference viruses and novel sequences, thereby providing critical insights into viral diversity and evolution. PhaGCN_Cluster represents an interpretable, efficient, and scalable solution for automated virus classification. The source code of PhaGCN_Cluster is available via https://github.com/xiahaolong/PhaGCN_Cluster .
Additional Links: PMID-41843252
PubMed:
Citation:
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@article {pmid41843252,
year = {2026},
author = {Xia, HL and Liang, PY and Yuan, WG and Cao, XD and Sun, Y and Jiang, JZ and Yuan, LH},
title = {PhaGCN_Cluster: A Scalable and Robust Framework for Automated Classification and Discovery of Viral Dark Matter from Metagenomes.},
journal = {Interdisciplinary sciences, computational life sciences},
volume = {},
number = {},
pages = {},
pmid = {41843252},
issn = {1867-1462},
support = {No. 2022KCXTD017//Innovation Team Project of Guangdong Universities/ ; No. 324CXTD435//Natural Science Foundation of Hainan Province/ ; No. 2023TD44//Central Public-interest Scientific Institution Basal Research Fund, Chinese Academy of Fishery Sciences/ ; },
abstract = {Viruses are the most abundant biological entities on Earth, playing essential roles in shaping microbial communities, driving evolution, and maintaining ecosystem functions. Metagenomic sequencing has unveiled a vast landscape of uncharacterized viral "dark matter", comprising highly divergent sequences that elude traditional taxonomic approaches. Here, we develop PhaGCN_Cluster, a next-generation viral classification tool built upon a graph convolutional neural network (GCN) framework. By integrating protein-level sequence similarity and contig-level genomic features, PhaGCN_Cluster establishes a scalable knowledge graph-based analytical system. The optimized algorithm yields significant gains in computational efficiency, supporting accurate taxonomic assignment of up to 300,000 contigs per run. Compared with existing methods, PhaGCN_Cluster demonstrates superior classification accuracy and F1-scores, particularly under conditions of low sequence similarity, and exhibits strong robustness in detecting evolutionarily distant viruses. Notably, PhaGCN_Cluster incorporates an updated logic for assigning "_like" taxa, which enhances its capacity to accommodate novel viral groups while preserving high precision-though at the cost of a slight reduction in recall. By generating high-fidelity network graphs, PhaGCN_Cluster uncovers previously unrecognized clades and bridges evolutionary gaps between reference viruses and novel sequences, thereby providing critical insights into viral diversity and evolution. PhaGCN_Cluster represents an interpretable, efficient, and scalable solution for automated virus classification. The source code of PhaGCN_Cluster is available via https://github.com/xiahaolong/PhaGCN_Cluster .},
}
RevDate: 2026-03-17
CmpDate: 2026-03-17
Developing and Evaluating Aquatic Passive Sampling of Environmental DNA for Microbial Community Profiling.
Molecular ecology resources, 26(3):e70121.
Environmental DNA (eDNA) metabarcoding has transformed biodiversity monitoring across taxa from bacteria to mammals, yet sample collection remains a major bottleneck. Passive sampling via adsorption and entrapment has emerged as a promising alternative to overcome the limitations of conventional active filtration. However, the performance of passive sampling for microbial biodiversity monitoring remains unknown. Here, we developed passive sampling-based microbial community profiling by testing five submersion times and three common eDNA extraction methods in mesocosms, and comprehensively evaluated it by comparing results with active filtration in estuarine and coastal environments. We found that passive sampling for 24 h with enzymatic extraction yielded significantly more eDNA and higher biodiversity than shorter durations and mechanical extractions. Passive sampling consistently outperformed active filtration at every field site, with average increases of >100% in eDNA yields and >50% in taxonomic and phylogenetic diversities. Additionally, active filtration and passive sampling yielded significantly different prokaryotic and microeukaryotic community compositions, driven primarily by turnover rather than nestedness (on average 4-fold larger), implying that passive sampling is better suited for spatiotemporal detection than active filtration. Passive sampling showed greater sensitivity in identifying key environmental factors (3 vs. 2) and potential environmental bioindicators (40 vs. 20) compared with active filtration. Overall, this study establishes an efficient and practical passive sampling method for microbial biodiversity monitoring and environmental assessment in aquatic environments.
Additional Links: PMID-41843710
Publisher:
PubMed:
Citation:
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@article {pmid41843710,
year = {2026},
author = {Qian, C and Jeunen, GJ and Han, W and Chan, TY and Jiang, Y and Fu, W and Seymour, M},
title = {Developing and Evaluating Aquatic Passive Sampling of Environmental DNA for Microbial Community Profiling.},
journal = {Molecular ecology resources},
volume = {26},
number = {3},
pages = {e70121},
doi = {10.1111/1755-0998.70121},
pmid = {41843710},
issn = {1755-0998},
support = {MCEF21003//Marine Conservation Enhancement Fund/ ; },
mesh = {*DNA, Environmental/isolation & purification/genetics ; Biodiversity ; *Specimen Handling/methods ; Bacteria/genetics/classification ; *Microbiota ; *Metagenomics/methods ; Phylogeny ; },
abstract = {Environmental DNA (eDNA) metabarcoding has transformed biodiversity monitoring across taxa from bacteria to mammals, yet sample collection remains a major bottleneck. Passive sampling via adsorption and entrapment has emerged as a promising alternative to overcome the limitations of conventional active filtration. However, the performance of passive sampling for microbial biodiversity monitoring remains unknown. Here, we developed passive sampling-based microbial community profiling by testing five submersion times and three common eDNA extraction methods in mesocosms, and comprehensively evaluated it by comparing results with active filtration in estuarine and coastal environments. We found that passive sampling for 24 h with enzymatic extraction yielded significantly more eDNA and higher biodiversity than shorter durations and mechanical extractions. Passive sampling consistently outperformed active filtration at every field site, with average increases of >100% in eDNA yields and >50% in taxonomic and phylogenetic diversities. Additionally, active filtration and passive sampling yielded significantly different prokaryotic and microeukaryotic community compositions, driven primarily by turnover rather than nestedness (on average 4-fold larger), implying that passive sampling is better suited for spatiotemporal detection than active filtration. Passive sampling showed greater sensitivity in identifying key environmental factors (3 vs. 2) and potential environmental bioindicators (40 vs. 20) compared with active filtration. Overall, this study establishes an efficient and practical passive sampling method for microbial biodiversity monitoring and environmental assessment in aquatic environments.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*DNA, Environmental/isolation & purification/genetics
Biodiversity
*Specimen Handling/methods
Bacteria/genetics/classification
*Microbiota
*Metagenomics/methods
Phylogeny
RevDate: 2026-03-17
Targeted enhancement of ammonia assimilation and microbial community metabolic synergy in chicken manure aerobic composting mediated by tricarboxylic acid cycle modulators.
Waste management (New York, N.Y.), 216:115471 pii:S0956-053X(26)00141-8 [Epub ahead of print].
Reducing nitrogen loss during composting is essential. To investigate the effects of directly modulating the tricarboxylic acid (TCA) cycle on microbial ammonia assimilation during composting, this study employed paired stable isotope labeling combined with metagenomic analysis to assess the role of the TCA cycle regulator citric acid (CA) in enhancing ammonia assimilation efficiency and regulating carbon-nitrogen metabolism within the microbial community. CA markedly reduced NH3 emissions (0.5-2265 ppm) and increased organic nitrogen retention (4.2%-17.7%), primarily through improved ammonia assimilation efficiency (0.06-0.22 mg N·kg[-1]·d[-1]) rather than weakened mineralization. Mechanistically, CA upregulated IDH1 (5.4%-18.5%) and increased IDH enzyme activity (0.35-0.66 IU/g), combined with NH3 uptake, balancing oxoglutarate and ammonium supply. Moreover, CA strengthened the glutamine synthetase-glutamate synthase (GS-GOGAT) pathway (3.4%-23.4%) and enzyme activity (0.08-0.74 IU/g), particularly in the initial and thermophilic phases. In addition, CA induced an upregulation (14.8%-28.4%) of genes encoding succinyl-CoA synthetase, providing sufficient energy to support the ammonia assimilation process. Furthermore, CA enhanced microbial diversity and metabolic cooperation while reducing competition, thereby promoting NH3 assimilation and glutamate synthesis. Inorganic and amino acid metabolism emerged as critical cooperative processes within core microbial populations.
Additional Links: PMID-41843957
Publisher:
PubMed:
Citation:
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@article {pmid41843957,
year = {2026},
author = {Zhu, L and Huang, C and Tian, Y and Zuo, W and Shan, G},
title = {Targeted enhancement of ammonia assimilation and microbial community metabolic synergy in chicken manure aerobic composting mediated by tricarboxylic acid cycle modulators.},
journal = {Waste management (New York, N.Y.)},
volume = {216},
number = {},
pages = {115471},
doi = {10.1016/j.wasman.2026.115471},
pmid = {41843957},
issn = {1879-2456},
abstract = {Reducing nitrogen loss during composting is essential. To investigate the effects of directly modulating the tricarboxylic acid (TCA) cycle on microbial ammonia assimilation during composting, this study employed paired stable isotope labeling combined with metagenomic analysis to assess the role of the TCA cycle regulator citric acid (CA) in enhancing ammonia assimilation efficiency and regulating carbon-nitrogen metabolism within the microbial community. CA markedly reduced NH3 emissions (0.5-2265 ppm) and increased organic nitrogen retention (4.2%-17.7%), primarily through improved ammonia assimilation efficiency (0.06-0.22 mg N·kg[-1]·d[-1]) rather than weakened mineralization. Mechanistically, CA upregulated IDH1 (5.4%-18.5%) and increased IDH enzyme activity (0.35-0.66 IU/g), combined with NH3 uptake, balancing oxoglutarate and ammonium supply. Moreover, CA strengthened the glutamine synthetase-glutamate synthase (GS-GOGAT) pathway (3.4%-23.4%) and enzyme activity (0.08-0.74 IU/g), particularly in the initial and thermophilic phases. In addition, CA induced an upregulation (14.8%-28.4%) of genes encoding succinyl-CoA synthetase, providing sufficient energy to support the ammonia assimilation process. Furthermore, CA enhanced microbial diversity and metabolic cooperation while reducing competition, thereby promoting NH3 assimilation and glutamate synthesis. Inorganic and amino acid metabolism emerged as critical cooperative processes within core microbial populations.},
}
ESP Quick Facts
ESP Origins
In the early 1990's, Robert Robbins was a faculty member at Johns Hopkins, where he directed the informatics core of GDB — the human gene-mapping database of the international human genome project. To share papers with colleagues around the world, he set up a small paper-sharing section on his personal web page. This small project evolved into The Electronic Scholarly Publishing Project.
ESP Support
In 1995, Robbins became the VP/IT of the Fred Hutchinson Cancer Research Center in Seattle, WA. Soon after arriving in Seattle, Robbins secured funding, through the ELSI component of the US Human Genome Project, to create the original ESP.ORG web site, with the formal goal of providing free, world-wide access to the literature of classical genetics.
ESP Rationale
Although the methods of molecular biology can seem almost magical to the uninitiated, the original techniques of classical genetics are readily appreciated by one and all: cross individuals that differ in some inherited trait, collect all of the progeny, score their attributes, and propose mechanisms to explain the patterns of inheritance observed.
ESP Goal
In reading the early works of classical genetics, one is drawn, almost inexorably, into ever more complex models, until molecular explanations begin to seem both necessary and natural. At that point, the tools for understanding genome research are at hand. Assisting readers reach this point was the original goal of The Electronic Scholarly Publishing Project.
ESP Usage
Usage of the site grew rapidly and has remained high. Faculty began to use the site for their assigned readings. Other on-line publishers, ranging from The New York Times to Nature referenced ESP materials in their own publications. Nobel laureates (e.g., Joshua Lederberg) regularly used the site and even wrote to suggest changes and improvements.
ESP Content
When the site began, no journals were making their early content available in digital format. As a result, ESP was obliged to digitize classic literature before it could be made available. For many important papers — such as Mendel's original paper or the first genetic map — ESP had to produce entirely new typeset versions of the works, if they were to be available in a high-quality format.
ESP Help
Early support from the DOE component of the Human Genome Project was critically important for getting the ESP project on a firm foundation. Since that funding ended (nearly 20 years ago), the project has been operated as a purely volunteer effort. Anyone wishing to assist in these efforts should send an email to Robbins.
ESP Plans
With the development of methods for adding typeset side notes to PDF files, the ESP project now plans to add annotated versions of some classical papers to its holdings. We also plan to add new reference and pedagogical material. We have already started providing regularly updated, comprehensive bibliographies to the ESP.ORG site.
ESP Picks from Around the Web (updated 28 JUL 2024 )
Old Science
Weird Science
Treating Disease with Fecal Transplantation
Fossils of miniature humans (hobbits) discovered in Indonesia
Paleontology
Dinosaur tail, complete with feathers, found preserved in amber.
Astronomy
Mysterious fast radio burst (FRB) detected in the distant universe.
Big Data & Informatics
Big Data: Buzzword or Big Deal?
Hacking the genome: Identifying anonymized human subjects using publicly available data.