Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1223839 | ENA |
REPOSITORIES: ENA
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Project description:Bacterial vaginosis (BV) is a common state of the vaginal microbiota characterized by increased bacterial diversity and decreased Lactobacillus abundance. Using untargeted metaproteomics, we identified host and bacterial proteins in a set of 29 cervicovaginal lavage samples from people with and without BV which revealed functions and interactions that likely contribute to BV.
2025-03-07 | PXD051980 | Pride
Project description:Genome scale metabolic model of Drosophila gut microbe Acetobacter fabarum
Abstract -
An important goal for many nutrition-based microbiome studies is to identify the metabolic function of microbes in complex microbial communities and their impact on host physiology. This research can be confounded by poorly understood effects of community composition and host diet on the metabolic traits of individual taxa. Here, we investigated these multiway interactions by constructing and analyzing metabolic models comprising every combination of five bacterial members of the Drosophila gut microbiome (from single taxa to the five-member community of Acetobacter and Lactobacillus species) under three nutrient regimes. We show that the metabolic function of Drosophila gut bacteria is dynamic, influenced by community composition, and responsive to dietary modulation. Furthermore, we show that ecological interactions such as competition and mutualism identified from the growth patterns of gut bacteria are underlain by a diversity of metabolic interactions, and show that the bacteria tend to compete for amino acids and B vitamins more frequently than for carbon sources. Our results reveal that, in addition to fermentation products such as acetate, intermediates of the tricarboxylic acid (TCA) cycle, including 2-oxoglutarate and succinate, are produced at high flux and cross-fed between bacterial taxa, suggesting important roles for TCA cycle intermediates in modulating Drosophila gut microbe interactions and the potential to influence host traits. These metabolic models provide specific predictions of the patterns of ecological and metabolic interactions among gut bacteria under different nutrient regimes, with potentially important consequences for overall community metabolic function and nutritional interactions with the host.IMPORTANCE Drosophila is an important model for microbiome research partly because of the low complexity of its mostly culturable gut microbiota. Our current understanding of how Drosophila interacts with its gut microbes and how these interactions influence host traits derives almost entirely from empirical studies that focus on individual microbial taxa or classes of metabolites. These studies have failed to capture fully the complexity of metabolic interactions that occur between host and microbe. To overcome this limitation, we reconstructed and analyzed 31 metabolic models for every combination of the five principal bacterial taxa in the gut microbiome of Drosophila This revealed that metabolic interactions between Drosophila gut bacterial taxa are highly dynamic and influenced by cooccurring bacteria and nutrient availability. Our results generate testable hypotheses about among-microbe ecological interactions in the Drosophila gut and the diversity of metabolites available to influence host traits.
2021-07-01 | MODEL2002040002 | BioModels
Project description:Bacterial vaginosis (BV) is characterized by depletion of Lactobacillus and overgrowth of anaerobic and facultative bacteria, leading to increased mucosal inflammation, epithelial disruption, and poor reproductive health outcomes. However, the molecular mediators contributing to vaginal epithelial dysfunction are poorly understood. Here we utilized proteomic, transcriptomic and metabolomic analyses to characterize biological features underlying BV in 405 African women and explored functional mechanisms using bacterial co-culturesin vitro. We identified five major vaginal microbiome groups, (L.crispatus(21%), L.iners(18%), any non-specific Lactobacillus species(9%), Gardnerella species .vaginalis(30%), or polymicrobial(22%)). Using multi-‘omics we show that BV associated epithelial disruption and mucosal inflammation are linked to the mammalian target of rapamycin (mTOR) pathway and associate with Gardnerella.vaginalis, M.mulieris, and specific metabolites including imidazole propionate. Bacterial co-culturesExperiments in vitro confirmed that type strain G.vaginalis and, M.mulieris supernatants and, as well as, and imidazole propionate, directly affect epithelial barrier function and , accompanied by activation of mTOR pathways. These results establish the microbiome-mTOR axis as a central feature of epithelial dysfunction in BV.
2023-07-20 | PXD040895 | Pride
Project description:Bacterial vaginosis (BV) is characterized by depletion of Lactobacillus and overgrowth of anaerobic and facultative bacteria, leading to increased mucosal inflammation, epithelial disruption, and poor reproductive health outcomes. However, the molecular mediators contributing to vaginal epithelial dysfunction are poorly understood. Here we utilized proteomic, transcriptomic and metabolomic analyses to characterize biological features underlying BV in 405 African women and explored functional mechanisms using bacterial co-cultures in vitro. We identified five major vaginal microbiome groups, (L.crispatus(21%), L.iners(18%), any non-specific Lactobacillus species(9%), Gardnerella species .vaginalis(30%), or polymicrobial(22%)). Using multi-‘omics we show that BV associated epithelial disruption and mucosal inflammation are linked to the mammalian target of rapamycin (mTOR) pathway and associate with Gardnerella.vaginalis, Mobiluncus mulieris, and specific metabolites including imidazole propionate. Bacterial co-culture experiments in vitro confirmed that type strain G.vaginalis and, M.mulieris supernatants as well as imidazole propionate, directly affect epithelial barrier function and are accompanied by activation of mTOR pathways. These results establish the microbiome-mTOR axis as a central feature of epithelial dysfunction in BV.
2023-07-20 | PXD040280 | Pride
Project description:Bacterial vaginosis (BV) is the most common cause of vaginal discharge among women worldwide. BV is characterized by an imbalance in the vaginal microbiota with depletion of protective Lactobacillus species and overgrowth of facultative and strictly anaerobic bacteria. Although the development of a polymicrobial biofilm on the vaginal epithelium is a hallmark of BV, interactions between key BV-associated bacteria (BVAB) [i.e. Gardnerella vaginalis, Fannyhessea vaginae, and Prevotella bivia] present in the biofilm are still not completely understood. In this study, we aimed to analyse the transcriptome of single and triple-species biofilms growing in the rich medium, New York City III (NYCIII). A previous analysis of triple-species biofilms composition by qPCR showed that the biofilms were mainly composed of G. vaginalis, followed by F. vaginae and P. bivia. The transcriptomic analysis revealed a total of 431 (34 upregulated and 397 downregulated), 126 (36 upregulated and 90 downregulated), and 39 (31 upregulated and 8 downregulated) differentially expressed genes for G. vaginalis, F. vaginae, and P. bivia, respectively. Gene ontology only detected enrichment for the downregulated genes of G. vaginalis and 47 GO terms were associated with molecular functions, cellular components and biological processes, mainly metabolism. Hence, this work showed the adaptation of 3 BVAB when growing in a triple-species biofilm, with several genes being differentially expressed in all the species growing in a polymicrobial biofilm.
2024-09-25 | GSE268115 | GEO
Project description:Bacterial vaginosis (BV), a common syndrome characterized by Lactobacillus-deficient vaginal microbiota, is associated with adverse health outcomes. BV often recurs after standard antibiotic therapy in part because antibiotics promote microbiota dominance by Lactobacillus iners instead of Lactobacillus crispatus, which has more beneficial health associations. Strategies to promote L. crispatus and inhibit L. iners are thus needed. We show that oleic acid (OA) and similar long-chain fatty acids simultaneously inhibit L. iners and enhance L. crispatus growth. These phenotypes require OA-inducible genes conserved in L. crispatus and related lactobacilli, including an oleate hydratase (ohyA) and putative fatty acid efflux pump (farE). FarE mediates OA resistance, while OhyA is robustly active in the vaginal microbiota and enhances bacterial fitness by biochemically sequestering OA in a derivative form only ohyA-harboring organisms can exploit. OA promotes L. crispatus dominance more effectively than antibiotics in an in vitro BV model, suggesting a metabolite-based treatment approach.
2024-06-26 | GSE270628 | GEO
Project description:An important goal for many nutrition-based microbiome studies is to identify the metabolic function of microbes in complex microbial communities and its impact on host physiology. This research can be confounded by poorly-understood effects of community composition and host diet on the metabolic traits of individual taxa. Here, we investigated these multi-way interactions by constructing and analyzing metabolic models comprising every combination of five bacterial members of the Drosophila gut microbiome (from single taxa to the five-member community of Acetobacter and Lactobacillus species) under three nutrient regimes. We show that the metabolic function of Drosophila gut bacteria is dynamic, influenced by community composition and responsive to dietary modulation. Furthermore, we show that ecological interactions such as competition and mutualism identified from the growth patterns of gut bacteria are underlain by a diversity of metabolic interactions, and show that the bacteria tend to compete for amino acids and B vitamins more frequently than for carbon sources. Our results reveal that in addition to fermentation products such as acetate, intermediates of the tricarboxylic acid (TCA) cycle including 2-oxoglutarate and succinate are produced at high flux and cross-fed between bacterial taxa suggesting important roles for TCA cycle intermediates in modulating Drosophila gut microbe interactions and the potential to influence host traits. These metabolic models provide specific predictions of the patterns of ecological and metabolic interactions among gut bacteria under different nutrient regimes, with potentially important consequences for overall community metabolic function and nutritional interactions with the host.
2021-07-01 | MODEL2002040006 | BioModels
Project description:An important goal for many nutrition-based microbiome studies is to identify the metabolic function of microbes in complex microbial communities and its impact on host physiology. This research can be confounded by poorly-understood effects of community composition and host diet on the metabolic traits of individual taxa. Here, we investigated these multi-way interactions by constructing and analyzing metabolic models comprising every combination of five bacterial members of the Drosophila gut microbiome (from single taxa to the five-member community of Acetobacter and Lactobacillus species) under three nutrient regimes. We show that the metabolic function of Drosophila gut bacteria is dynamic, influenced by community composition and responsive to dietary modulation. Furthermore, we show that ecological interactions such as competition and mutualism identified from the growth patterns of gut bacteria are underlain by a diversity of metabolic interactions, and show that the bacteria tend to compete for amino acids and B vitamins more frequently than for carbon sources. Our results reveal that in addition to fermentation products such as acetate, intermediates of the tricarboxylic acid (TCA) cycle including 2-oxoglutarate and succinate are produced at high flux and cross-fed between bacterial taxa suggesting important roles for TCA cycle intermediates in modulating Drosophila gut microbe interactions and the potential to influence host traits. These metabolic models provide specific predictions of the patterns of ecological and metabolic interactions among gut bacteria under different nutrient regimes, with potentially important consequences for overall community metabolic function and nutritional interactions with the host.
2021-07-01 | MODEL2002040005 | BioModels
Project description:An important goal for many nutrition-based microbiome studies is to identify the metabolic function of microbes in complex microbial communities and its impact on host physiology. This research can be confounded by poorly-understood effects of community composition and host diet on the metabolic traits of individual taxa. Here, we investigated these multi-way interactions by constructing and analyzing metabolic models comprising every combination of five bacterial members of the Drosophila gut microbiome (from single taxa to the five-member community of Acetobacter and Lactobacillus species) under three nutrient regimes. We show that the metabolic function of Drosophila gut bacteria is dynamic, influenced by community composition and responsive to dietary modulation. Furthermore, we show that ecological interactions such as competition and mutualism identified from the growth patterns of gut bacteria are underlain by a diversity of metabolic interactions, and show that the bacteria tend to compete for amino acids and B vitamins more frequently than for carbon sources. Our results reveal that in addition to fermentation products such as acetate, intermediates of the tricarboxylic acid (TCA) cycle including 2-oxoglutarate and succinate are produced at high flux and cross-fed between bacterial taxa suggesting important roles for TCA cycle intermediates in modulating Drosophila gut microbe interactions and the potential to influence host traits. These metabolic models provide specific predictions of the patterns of ecological and metabolic interactions among gut bacteria under different nutrient regimes, with potentially important consequences for overall community metabolic function and nutritional interactions with the host.
2021-07-01 | MODEL2002040003 | BioModels