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150 results for “host microbiome”
Subcellular view of host–microbiome nutrient exchange in sponges: insights into the ecological success of an early metazoan–microbe symbiosis
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Data from: Epidemic and endemic pathogen dynamics correspond to distinct host population microbiomes at a landscape scale
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Data for: Environments and hosts structure the bacterial microbiomes of fungus-gardening ants and their symbiotic fungus gardens
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Host-microbiome associations in livebearing fishes adapted to toxic streams rich in hydrogen sulfide: Code for analyzing 16S rRNA dataset
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Data from: Vegetable phylloplane microbiomes harbour class 1 integrons in novel bacterial hosts and drive the spread of chlorite resistance
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Geography, seasonality, and host‐associated population structure influence the fecal microbiome of a genetically depauparate Arctic mammal
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Data from: Host genotype and age shape the leaf and root microbiomes of a wild perennial plant
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Tick microbiomes in neotropical forest fragments are best explained by tick-associated and environmental factors rather than host blood source
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Feeding on a Bartonella henselae infected host triggers temporary changes in the Ctenocephalides felis microbiome
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Data from: Gut microbiome dysbiosis is associated with host genetics in the Norwegian Lundehund
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Data from: Host phylogeny and functional traits differentiate gut microbiomes in a diverse natural community of small mammals
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Absence of a functional gut microbiome impairs host amino acid metabolism in the Pacific spiny dogfish (Squalus suckleyi)
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Data from: Vaginal host immune-microbiome interactions in a cohort of primarily African-American women who ultimately underwent spontaneous preterm birth or delivered at term
<p><strong>Background</strong>: Recent studies suggest that alterations in the vaginal microbiome allow for the assessment of the risk for spontaneous preterm birth (PTB), the leading cause of neonatal morbidity and mortality worldwide. However, the associations between the local immune response and the vaginal microbiome are still poorly understood. Herein, we characterize the vaginal host immune-microbiome interactions in women who ultimately underwent PTB and in those who delivered at term.</p> <p><strong>Methods</strong>: Vaginal fluid samples from 52 pregnant women (of whom 18 underwent PTB and 34 delivered at term) were collected from 10-32 weeks in a case-control study. Concentrations of 33 immune mediators were determined using sensitive and specific immunoassays. The previously published 16S rRNA gene sequence and bacterial phylotype data of these subjects were utilized in this study. Linear mixed effects models were utilized to test associations between vaginal immune mediator concentrations and bacterial phylotype relative abundances.</p> <p><strong>Results</strong>: 1) Specific immune mediators (β-defensins 2 and 3, IL-1β, CXCL10, CCL2, CCL3, SLPI, and VEGF) correlated with 18 different vaginal bacterial phylotypes in the overall study population; 2) vaginal concentrations of CXCL10, CCL2, CCL3, SLP1 and VEGF negatively correlated with non-Lactobacillus members of the vaginal microbiome; 3) vaginal concentrations of CXCL10 were negatively correlated with 15 bacterial phylotypes, most of which are typical members of Community State Type IV of the vaginal microbiome, such as Gardnerella vaginalis, Megasphaera sp. type 1, and Atopobium vaginae; 4) Gemella spp. were negatively correlated with vaginal concentrations of VEGF, CCL2, CCL3, SLPI, and CXCL10; 5) when comparing PTB cases to term controls, five soluble immune mediators (CCL26, CCL22 and CCL2, CXCL10 and IL-16), and especially CCL26, were negatively correlated with five typical members of Community State Type IV: Sneathia sanguinegens, Parvimonas micra, Veillonellaceae, BVAB2, and Gemella spp; and 6) Sneathia sanguinegens had stronger negative associations with all five soluble immune mediators (CCL26, CCL22 and CCL2, CXCL10 and IL-16) in PTB cases than in term controls.</p> <p><strong>Conclusions</strong>: The assessment of vaginal host immune-microbiome interactions revealed that specific soluble immune mediators, mainly CXCL10, negatively correlated with typical members of Community State Type IV of the vaginal microbiome. In addition, this assessment particularly showed that Sneathia sanguinegens had stronger negative associations with different immune mediators, including CXCL10 and CCL26, in women who ultimately had a PTB compared to those who delivered at term. These findings provide insight into the vaginal host immune-microbiome interactions in normal and complicated pregnancies.</p>
Data from: Gut microbiome composition and metabolomic profiles of wild western lowland gorillas (Gorilla gorilla gorilla) reflect host ecology
The metabolic activities of gut microbes significantly influence host physiology; thus, characterizing the forces that modulate this micro-ecosystem is key to understanding mammalian biology and fitness. To investigate the gut microbiome of wild primates and determine how these microbial communities respond to the host's external environment, we characterized faecal bacterial communities and, for the first time, gut metabolomes of four wild lowland gorilla groups in the Dzanga-Sangha Protected Areas, Central African Republic. Results show that geographical range may be an important modulator of the gut microbiomes and metabolomes of these gorilla groups. Distinctions seemed to relate to feeding behaviour, implying energy harvest through increased fruit consumption or fermentation of highly fibrous foods. These observations were supported by differential abundance of metabolites and bacterial taxa associated with the metabolism of cellulose, phenolics, organic acids, simple sugars, lipids and sterols between gorillas occupying different geographical ranges. Additionally, the gut microbiomes of a gorilla group under increased anthropogenic pressure could always be distinguished from that of all other groups. By characterizing the interplay between environment, behaviour, diet and symbiotic gut microbes, we present an alternative perspective on primate ecology and on the forces that shape the gut microbiomes of wild primates from an evolutionary context.
Host identity and symbiotic association affects the genetic and taxonomic diversity of the clownfish-hosting sea anemone microbiome
All eukaryotic life engages in symbioses with a diverse community of bacteria that are essential for performing basic life functions. In many cases, eukaryotic organisms form additional symbioses with other macroscopic eukaryotes. The tightly-linked physical interactions that characterize many macroscopic symbioses creates opportunities for microbial transfer, which likely affects the diversity and function of individual microbiomes, and may ultimately lead to microbiome convergence between distantly related taxa. Here, we sequence the microbiomes of five species of clownfish-hosting sea anemones that co-occur on coral reefs in the Maldives. We test the importance of evolutionary history, clownfish symbiont association, and habitat on the genetic and predicted functional diversity of the microbiome, and explore signals of microbiome convergence in anemone taxa that have evolved symbioses with clownfishes independently. Our data indicate that host identity shapes the majority of the genetic diversity of the clownfish-hosting sea anemone microbiome, but predicted functional microbial diversity analyses demonstrate a convergence among host anemone microbiomes, which reflect increased functional diversity over individuals that do not host clownfishes. Further, we identify up-regulated microbial functions in host anemones that are likely affected by clownfish presence. Taken together our study reveals an even deeper metabolic coupling between clownfishes and their host anemones, and what could be a previously unknown mutualistic benefit to anemones that are symbiotic with clownfishes
Phylogenetically under‐dispersed gut microbiomes are not correlated with host genomic heterozygosity in a genetically diverse reptile community
<p>We are providing semi-processed datasets relevant to the paper "Phylogenetically under-dispersed gut microbiomes across a range of host genetic diversity in a reptile community point to structuring by conserved host genes." Specifically, we include VCF files of RADseq data from host individuals, which are processed versions of the raw reads available at NCBI's Short Read Archive under PRJA744273. These data were processed for heterozygosity calculation using an adapted of the pipeline presented in Singhal et al. 2017, "Genetic diversity is largely unpredictable but scales with museum occurrences in a species-rich clade of Australian lizards."</p> <p>In addition, we include a database of 16S sequences from gut microbiome amplicon sequencing from the same host animals. The raw reads are available at NCBI's Short Read Archive under PRJNA746253. The sequences accessioned here are a curated, cleaned set of reference reads to which we realigned reads from each individual host.</p>
Host-level biodiversity shapes the dynamics and networks within the coral reef microbiome
<p>This is the repository associated with the manuscript <strong>Host-level biodiversity shapes the dynamics and networks within the coral reef microbiome</strong>. It contains all data files used for figures presented in the manuscript. The code to reproduce the files can be found on <a href="https://github.com/SushiLab/coralmicrobiome-hostbiodiversity)">GitHub</a>.</p> <p> </p> <h2>Files</h2> <p><br><code>raw_host-associated_1.asvs.tsv --> ASV table, host-associated samples</code><br><code>raw_host-associated_2.asvs.tsv --> ASV table, host-associated samples</code><br><code>raw_free-living_1.asvs.tsv --> ASV table, Sterivex samples</code><br><code>raw_free-living_2.asvs.tsv --> ASV table, Sterivex samples</code><br><code>metadata_host-associated.csv --> metadata, host-associated samples</code><br><code>metadata_free-living.csv --> ASV table, Sterivex samples</code><br><code>asv_dat_taxinfo.tsv --> taxonomy annotated using SILVA v138.1</code><br><code>asv_bctab.tsv --> square-root transformed Bray-Curtis dissimilarities </code><br><code>asv_richtab.tsv --> Hill number diversity indices</code><br><code>asv_shared.tsv --> number of shared ASVs</code><br><code>pathway_list_cat.csv --> KEGG pathway list with hand-annotated categories</code><br><code>KEGG_path_to_ko.tsv --> KEGG file mapping pathways to KOs</code></p> <p> </p>
Host genetics, phenotype and geography structure the microbiome of a foundational seaweed
<p>Interactions between hosts and their microbiota are critical to the functioning and resilience of eukaryotic macro-organisms. Critically, for hosts that play foundational roles in communities, understanding what drives these interactions is essential for informing restoration and conservation of entire ecosystems. Here, we investigated the relative influence of host traits and the surrounding environment on microbial communities associated with the foundational seaweed Phyllospora comosa. We collected data on 16 morphological and functional phenotypic traits, host genetics (using 354 Single Nucleotide Polymorphisms) and surface-associated microbial communities (using 16S rRNA gene amplicon sequencing) from 160 individuals sampled from eight sites spanning Phyllospora's entire latitudinal distribution (1300 km). Combined, these factors explained 54% of the overall variation in Phyllospora's associated microbial community structure, much of which was related to the local environment (~32%). We found that putative "core" microbial taxa (i.e. present on all Phyllospora individuals sampled) exhibited slightly higher association with host traits when compared to "variable" taxa (not present on all individuals). We identified several key genetic loci and phenotypic traits in Phyllospora that were strongly related to multiple microbial amplicon sequence variants, including taxa with known associations to seaweed defense, disease and tissue degradation. This information on how host-associated microbial communities vary with host traits and the environment enhances our current understanding of holobionts and how they are structured. Such understanding can be used to inform management strategies of these important and vulnerable habitats.</p>
Parasites, niche modification and the host microbiome: A field survey of multiple parasites
<p>Parasites can affect and be affected by the host's microbiome, with consequences for host susceptibility, parasite transmission, and host and parasite fitness. Yet, two aspects of the relationship between parasite infection and host microbiota remain little understood: the nature of the relationship under field conditions, and how the relationship varies among parasites. To overcome these limitations, we performed a field survey of the within-leaf fungal community in a tall fescue population. We investigated how diversity and composition of the fungal microbiome associate with natural infection by fungal parasites with different feeding strategies. A parasite's feeding strategy affects both parasite requirements of the host environment and parasite impacts on the host environment. We hypothesized that parasites that more strongly modify niches available within a host will be associated with greater changes in microbiome diversity and composition. Parasites with a feeding strategy that creates necrotic tissue to extract resources (necrotrophs) may not only have different niche requirements, but also act as particularly strong niche modifiers. Barcoded amplicon sequencing of the fungal ITS region revealed that leaf segments symptomatic of necrotrophs had lower fungal diversity and distinct composition compared to segments that were asymptomatic or symptomatic of other parasites. There were no clear differences in fungal diversity or composition between leaf segments that were asymptomatic and segments symptomatic of other parasite feeding strategies. Our results motivate future experimental work to test how the relationship between the microbiome and parasite infection is impacted by parasite feeding strategy and highlight the potential importance of parasite traits.</p>
Linking the gut microbiome to host DNA methylation by a discovery and replication epigenome-wide association study
<p>BACKGROUND: The datafiles deposited here are products of the research project "<strong>Linking the gut microbiome to host DNA methylation by a discovery and replication epigenome-wide association study"</strong></p><p>Authors: Ayşe Demirkan1,2, Jenny van Dongen3,4, Casey T. Finnicum5, Harm-Jan Westra1, Soesma Jankipersadsing1, Gonneke Willemsen3,4, Richard G. Ijzerman6, Dorret I. Boomsma3,4, Erik A. Ehli5, Marc Jan Bonder1, Jingyuan Fu,1,7 Lude Franke1, Cisca Wijmenga1, Eco J.C. de Geus3,4, Alexander Kurilshikov1, Alexandra Zhernakova1</p><p>1 Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands</p><p>2 Section of Statistical Multi-omics, Department of Clinical and Experimental Medicine, School of Biosciences and Medicine & People-Centered AI institute University of Surrey, Guildford, United Kingdom</p><p>3 Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands</p><p>4 Amsterdam Public Health Research Institute, Amsterdam, the Netherlands</p><p>5 Avera Institute of Human Genetics, Avera McKennan Hospital & University Health Center, Sioux Falls, SD, USA</p><p>6 Department of Endocrinology, Amsterdam University Medical Center, location VUMC, Amsterdam, the Netherlands</p><p>7 Department of Pediatrics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands</p><p><strong>Corresponding Authors: </strong>Alexandra Zhernakova; Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands</p><p>Ayse Demirkan; Section of Statistical Multi-omics, Department of Clinical and Experimental Medicine, School of Biosciences and Medicine & People-Centered AI institute University of Surrey, Guildford, United Kingdom.</p><p>FILES: </p><p>1-merged_lld16s.Rata: Epigenome-wide association of 16s microbial abundances in LifeLines-Deep (LLD, n = 616, 450k methylation array) </p><p>2-lld_mgs.Rdata: Epigenome-wide association ofshotgun metagenomic sequencing derived taxa relative abundances (n = 683, 450k methylation array))</p><p>3-lld_<i>mgs_</i>pathways. Rdata: Epigenome-wide association ofshotgun metagenomic sequencing derived bacterial pathway relative abundances (n = 683, 450k methylation array)</p><p>FUNDING: The Lifelines initiative has been made possible by subsidy from the Dutch Ministry of Health, Welfare and Sport, the Dutch Ministry of Economic Affairs, the University Medical Center Groningen (UMCG), Groningen University and the Provinces in the North of the Netherlands (Drenthe, Friesland, Groningen). The Netherlands Twin Register acknowledges funding from the Netherlands Organization for Scientific Research (NWO): (NWO 911–09–032; NWO 480-04-004; 480-15-001/674, NWO 916-130-82), Biobanking and Biomolecular Research Infrastructure (184.033.111), and the BBRMI-NL-financed BIOS Consortium (NWO 184.021.007), NWO Large Scale infrastructures X-Omics (184.034.019), Genotype/phenotype database for behaviour genetic and genetic epidemiological studies (ZonMw Middelgroot 911-09-032); Netherlands Twin Registry Repository: researching the interplay between genome and environment (NWO-Groot 480-15-001/674); the Avera Institute, Sioux Falls (USA), the European Research Council (Genetics of Mental Illness 230374), the European Research Council (Genetics of Mental Illness 230374), and INRA-Pfizer. Pfizer provided support for data collection, but did not have any additional role in the study design, data analysis, decision to publish, or preparation of the manuscript.</p><p> </p>
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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.