None
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA637810 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR13342100.fastq.gz | Fastqsanger.gz | |||
| SRR13342101.fastq.gz | Fastqsanger.gz | |||
| SRR13342102.fastq.gz | Fastqsanger.gz | |||
| SRR13342103.fastq.gz | Fastqsanger.gz | |||
| SRR13342104.fastq.gz | Fastqsanger.gz |
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Project description:Characterization of proteins critical to fungal cellulosome assembly for Anaeromyces robustus, Neocallimastix californiae and Piromyces finnis (cellulosomes are multi-protein complexes that tether plant biomass degrading enzymes together). These findings suggest that the fungal cellulosome is an independently evolved fungal complex that co-opted useful activities from bacterial neighbors within the herbivore rumen microbiome.
2018-10-19 | PXD006325 | Pride
Project description:The Lobaria pulmonaria holobiont consists of algal, fungal, cyanobacterial, and integrated diverse bacterial components and thrives in undisturbed, humid forests. We set out to investigate the role of the microbiome of L. pulmonaria in the adaptation of this ecologically sensitive lichen species to diverse climatic conditions. Our central hypothesis posited that microbiome composition and functionality aligns with continental-scale climatic parameters related to temperature and precipitation. In addition, we tested whether short-term weather dynamics, sampling season, and the genotypes of the fungal and algal partners influenced the variation in the lichen microbiome. Insights into compositional and functional changes within the microbiome were obtained using metaproteomics. Comparative examinations between Sub-Atlantic Lowland (SAL) and Alpine (ALP) regions unveiled the distinct impact of climate on microbiome functions.
2024-07-03 | PXD049079 | Pride
Project description:Harris County, Texas experienced its largest outbreak of West Nile (WNV) disease in 2014. Characterization WNV isolates from the outbreak using next generation sequencing approaches, phylogeny, and animal studies revealed a novel genotype characterized by selection of an amino acid substitution, NS2A-R188K. Retrospective analysis of Genbank showed this genotype was first identified in New York and Connecticut in 2008 and then in Texas subsequently. Thus, we have termed this the Northeast 2008 (NE/WN08) genotype. Emergence of this genotype in Texas likely involved the displacement of the SW/WN03 genotype. Quasispecies diversity revealed significant variation occurred among viral isolates, but no phenotypic changes were observed in terms of temperature sensitivity and mouse virulence, suggesting that despite WNV being in North America for 15 years there are strong mutational robustness among naturally occurring WNV isolates. Examination of Genbank showed that convergent evolution of NS2A-R188K was also taking place worldwide.
2020-01-01 | GSE126555 | GEO
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:The rate, timing, and mode of species dispersal is recognized as a key driver of the structure and function of communities of macroorganisms, and may be one ecological process that determines the diversity of microbiomes. Many previous studies have quantified the modes and mechanisms of bacterial motility using monocultures of a few model bacterial species. But most microbes live in multispecies microbial communities, where direct interactions between microbes may inhibit or facilitate dispersal through a number of physical (e.g., hydrodynamic) and biological (e.g., chemotaxis) mechanisms, which remain largely unexplored. Using cheese rinds as a model microbiome, we demonstrate that physical networks created by filamentous fungi can impact the extent of small-scale bacterial dispersal and can shape the composition of microbiomes. From the cheese rind of Saint Nectaire, we serendipitously observed the bacterium Serratia proteamaculans actively spreads on networks formed by the fungus Mucor. By experimentally recreating these pairwise interactions in the lab, we show that Serratia spreads on actively growing and previously established fungal networks. The extent of symbiotic dispersal is dependent on the fungal network: diffuse and fast-growing Mucor networks provide the greatest dispersal facilitation of the Serratia species, while dense and slow-growing Penicillium networks provide limited dispersal facilitation. Fungal-mediated dispersal occurs in closely related Serratia species isolated from other environments, suggesting that this bacterial-fungal interaction is widespread in nature. Both RNA-seq and transposon mutagenesis point to specific molecular mechanisms that play key roles in this bacterial-fungal interaction, including chitin utilization and flagellin biosynthesis. By manipulating the presence and type of fungal networks in multispecies communities, we provide the first evidence that fungal networks shape the composition of bacterial communities, with Mucor networks shifting experimental bacterial communities to complete dominance by motile Proteobacteria. Collectively, our work demonstrates that these strong biophysical interactions between bacterial and fungi can have community-level consequences and may be operating in many other microbiomes.
2017-08-02 | GSE85095 | GEO
Project description:Background: Idiopathic Chronic Diarrhea (ICD) is a common cause of morbidity and mortality among juvenile rhesus macaques. Characterized by chronic inflammation of the colon and repeated bouts of diarrhea, ICD is largely unresponsive to medical interventions including corticosteroid, antiparasitic and antibiotic treatments. Although ICD is accompanied by large disruptions in the composition of the commensal gut microbiome, no single pathogen has been concretely identified as responsible for the onset and continuation of the disease. Results: Fecal samples were collected from twelve ICD-diagnosed macaques and twelve age and sex-matched controls. RNA was extracted for metatranscriptomic analysis of species and activity within the gut microbiome. Using SAMSA2, these samples were contrasted to identify shifts both in overall organism activity and functional activity. Bacterial, fungal, archaeal, protozoan, and macaque (host) transcripts were simultaneously assessed. ICD-afflicted animals were characterized by increased activity of known bacterial pathogens and by decreased activity of archaeal methanogens. Interestingly, known fungal opportunists were not increased in ICD, nor were the usual enteric protozoans, although Trichomonas activity is up-regualted. Known mucin degrading organisms and mucin-degrading enzymes were up-regulated in the fecal microbiomes of ICD-afflicted animals. Assessment of colon sections using immunohistochemistry confirmed differential mucin composition between healthy control and ICD animals. Finally, assessment of host-derived transcripts confirms colonic inflammation and suggests that the lumen is infiltrated by granulocytes. Conclusions: The simultaneous profiling of bacterial, fungal, archaeal, protozoan, and macaque transcripts from stool samples suggests that ICD of rhesus macaques is associated with increased pathogen activity and altered mucin degradation.
2019-03-09 | GSE108572 | GEO
Project description:The gut microbiome is significantly altered in inflammatory bowel diseases, but the basis of these changes is not well understood. We have combined metagenomic and metatranscriptomic profiling of the gut microbiome to assess changes to both bacterial community structure and transcriptional activity in a mouse model of colitis. Gene families involved in microbial resistance to oxidative stress, including Dps/ferritin, Fe-dependent peroxidase and glutathione S-transferase, were transcriptionally up-regulated in colitis, implicating a role for increased oxygen tension in gut microbiota modulation. Transcriptional profiling of the host gut tissue and host RNA in the gut lumen revealed a marked increase in the transcription of genes with an activated macrophage and granulocyte signature, suggesting the involvement of these cell types in influencing microbial gene expression. Down-regulation of host glycosylation genes further supports a role for inflammation-driven changes to the gut niche that may impact the microbiome. We propose that members of the bacterial community react to inflammation-associated increased oxygen tension by inducing genes involved in oxidative stress resistance. Furthermore, correlated transcriptional responses between host glycosylation and bacterial glycan utilisation support a role for altered usage of host-derived carbohydrates in colitis. Complementary transcription profiling data from the mouse hosts have also been deposited at ArrayExpress under accession number E-MTAB-3590 ( http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-3590/ ).
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