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108 results for “Gut bacteria”
Evidence of cospeciation between termites and their gut bacteria on a geological time scale
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Commensal bacteria maintain a Qa-1b-restricted unconventional CD8+ T population in gut epithelium
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Data from: Cryptic diversity of cellulose-degrading gut bacteria in industrialized humans
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Septicemia of Subterranean Termites Coptotermes curvignathus Caused by Disturbance of Bacteria Isolated from Termite Gut and Its Foraging Pathways
<p><span><span>Microbial pathogens continue to attract a great deal of attention to manage termite population. Every bacterium has its own mode of action and in fact, the mechanisms used by bacteria to attack termites remains elusive at the moment.</span></span><span> </span>Hence, the objective of this study was to evaluate the susceptibility of subterranean termites <i>Coptotermes curvignathus</i> to opportunistic pathogens using culturable aerobic bacteria isolated from the termite gut and its foraging pathways. Bacterial suspensions were prepared in concentrations of 10<sup>3</sup>, 10<sup>6</sup>, and 10<sup>9</sup> CFU/mL and introduced to the termites via oral-contact and physical contact treatment. The data shows that contact method acted slower and gave lower mortality, compared to oral-contact method. <i>C. curvignathus</i> were highly susceptible to<i> Serratia marcescens and</i> <i>Pseudomonas aeruginosa</i>. <i>Serratia marcescens </i>showed the highest mortality percentage of 68% and 54% at bacterial concentration of 10<sup>9 </sup>CFU/mL via oral-contact and contact method, respectively. <i>S. marcescens </i>was also defined as the bacteria with the highest ability to induce high mortality of <i>C. curvignathus</i> with the lowest concentration of bacterial suspension at a given time under laboratory condition. The results of this study indicate that <i>P. aeruginosa</i> and <i>S. </i><i>marcescens</i> in particular may be attractive candidates worth further examination as a possible biocontrol agent against <i>C. curvignathus</i> in the field and, to evaluate environmental and ecological risks of the biocontrol.</p>
Data from: Metabolically similar cohorts of bacteria exhibit strong co-occurrence patterns with diet items and eukaryotic microbes in lizard guts
Gut microbiomes perform essential services for their hosts, including helping them to digest food and manage pathogens and parasites. Performing these services requires a diverse and constantly changing set of metabolic functions from the bacteria in the microbiome. The metabolic repertoire of the microbiome is ultimately dependent on the outcomes of the ecological interactions of its member microbes, as these interactions in part determine the taxonomic composition of the microbiome. The ecological processes that underpin the microbiome's ability to handle a variety of metabolic challenges might involve rapid turnover of the gut microbiome in response to new metabolic challenges, or it might entail maintaining sufficient diversity in the microbiome that any new metabolic demands can be met from an existing set of bacteria. To differentiate between these scenarios, we examine the gut bacteria and resident eukaryotes of two generalist-insectivore lizards, while simultaneously identifying the arthropod prey each lizard was digesting at the time of sampling. We find that the cohorts of bacteria that occur significantly more or less often than expected with arthropod diet items or eukaryotes include bacteria species that are highly similar to each other metabolically. This pattern in the bacteria microbiome could represent an early step in the taxonomic shifts in bacteria microbiome that occur when host lineages change their in diet niche over evolutionary timescales.
An evolution-based framework for describing human gut bacteria
<p>The human gut microbiome contains many bacterial strains of the same species ('strain-level variants'). Describing strains in a biologically meaningful manner rather than purely taxonomic objects is an important goal but challenging due to the complexity of strain-level variation. Here, we measured patterns of co-evolution across >7,000 strains spanning the bacterial tree-of-life. Using these patterns as a prior for studying hundreds of gut commensal strains that we isolated, sequenced, and metabolically profiled revealed widespread structure beneath the phylogenetic level of species. Defining strains by their co-evolutionary signatures enabled predicting their metabolic phenotypes and engineering consortia from strain genome content alone. Our findings demonstrate a biologically relevant organization to strain-level variation and motivate a new schema for describing bacterial strains based on their evolutionary history.</p>
A low molecular weight Saccharina japonica polysaccharide suppresses high fat diet-induced obesity and enriches gut bacteria with fucoidan-degrading potential
<p>This dataset contains 16S rRNA gene and metagenomic sequencing raw data involved in this study. Metagenomic data (S21H1887, S21H1888) were obtained from two cecal content samples from the LFD_J2H group due to<em> Akkermansia</em> uncultured bacterium was highly abundant in these samples. In addition, the code for JS divergence analysis is included.</p>
Pre-exposed gut bacteria of Caenorhabditis elegans in Martian conditions
<p>Student project on experimental evolution of C. elegans gut microbes under conditions simulating the atmosphere of Mars. </p>
Can Synbiotic Use Effect Gut Bacteria and the Immune Response in Older People
ClinicalTrials.gov study NCT01226212. IPD Sharing: Not stated. Countries: 1. Publications: 7.
The Impact of "Crohn's Disease-TReatment-with-EATing" Diet and Exclusive Enteral Nutrition on Healthy Gut Bacteria
ClinicalTrials.gov study NCT02426567. IPD Sharing: NO. Countries: 1. Publications: 1.
The Effects of Dietary Changes on Gut-bacteria and Fibromyalgia Symptoms
ClinicalTrials.gov study NCT05329571. IPD Sharing: NO. Countries: 1. Publications: 6.
Capture of Healthy Gut Bacteria Associated to High Fiber Diet
ClinicalTrials.gov study NCT06166810. IPD Sharing: NO. Countries: 1. Publications: 1.
The Impact of Selected Probiotic Bacteria on Gut Microbiota, Stress Indicators and Nutritional Status of Young Adults
ClinicalTrials.gov study NCT06860581. IPD Sharing: NO. Countries: 1. Publications: 29.
Bacteria & Inflammation in the Gut (BIG) Study
ClinicalTrials.gov study NCT02341248. IPD Sharing: Not stated. Countries: 1. Publications: 2.
The Alberta FYBER (Feed Your Gut Bacteria morE fibeR) Study
ClinicalTrials.gov study NCT02322112. IPD Sharing: NO. Countries: 1. Publications: 13.
Can Gut Bacteria Predict Who Benefits Most From Exercise? A Gut Supplement to Help Exercise Non-Responders
ClinicalTrials.gov study NCT07180446. IPD Sharing: NO. Countries: 1. Publications: 6.
The Effect of Metformin on Composition of Human Gut Bacteria
ClinicalTrials.gov study NCT02546050. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Examination of the Large Intestine With Camera Capsule in Patients With Blood Stream Infection With Gut-associated Bacteria
ClinicalTrials.gov study NCT06919068. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Complex Regional Pain Syndrome (CRPS) and the Gut-bacteria
ClinicalTrials.gov study NCT05473338. IPD Sharing: NO. Countries: 1. Publications: 4.
Vitamin D Regulation of Gut Specific B Cells and Antibodies Targeting Gut Bacteria in Inflammatory Bowel Disease
ClinicalTrials.gov study NCT04828031. IPD Sharing: Not stated. Countries: 1. Publications: 9.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.