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<BioSampleSet><BioSample access="public" publication_date="2023-01-19T00:00:00.000" last_update="2023-01-24T02:42:11.000" submission_date="2023-01-20T08:11:09.800" id="32807998" accession="SAMEA112250310">   <Ids>     <Id db="BioSample" is_primary="1">SAMEA112250310</Id>     <Id db="SRA">ERS14361173</Id>   </Ids>   <Description>     <Title>Metagenome-assembled genome: SRR18243799_bin.17_metawrap_v1.3_MAG</Title>     <Organism taxonomy_id="2301481" taxonomy_name="uncultured Muribaculaceae bacterium">       <OrganismName>uncultured Muribaculaceae bacterium</OrganismName>     </Organism>     <Comment>       <Paragraph>This sample represents a Third Party Annotation (TPA) Metagenome-Assembled Genome (MAG) assembled from the metagenomic run SRR18243799 of study SRP362674.</Paragraph>     </Comment>   </Description>   <Owner>     <Name>EBI</Name>   </Owner>   <Models>     <Model>Generic</Model>   </Models>   <Package display_name="Generic">Generic.1.0</Package>   <Attributes>     <Attribute attribute_name="ENA-CHECKLIST">ERC000047</Attribute>     <Attribute attribute_name="ENA-FIRST-PUBLIC">2023-01-19</Attribute>     <Attribute attribute_name="ENA-LAST-UPDATE">2023-01-19</Attribute>     <Attribute attribute_name="External Id">SAMEA112250310</Attribute>     <Attribute attribute_name="INSDC center alias">EMG</Attribute>     <Attribute attribute_name="INSDC center name">EMG</Attribute>     <Attribute attribute_name="INSDC first public">2023-01-19T20:22:09Z</Attribute>     <Attribute attribute_name="INSDC last update">2023-01-19T20:22:09Z</Attribute>     <Attribute attribute_name="INSDC status">public</Attribute>     <Attribute attribute_name="Submitter Id">SRR18243799_bin.17_metawrap_v1.3_MAG</Attribute>     <Attribute attribute_name="assembly quality">Many fragments with little to no review of assembly other than reporting of standard assembly statistics</Attribute>     <Attribute attribute_name="assembly software">metaSPAdes v3.15.3</Attribute>     <Attribute attribute_name="binning parameters">MaxBin2, MetaBat2, Concoct with default parameter of the metaWRAP pipeline. Bin refinement module used from metaWRAP with default parameters.</Attribute>     <Attribute attribute_name="binning software">metawrap v1.3</Attribute>     <Attribute attribute_name="broad-scale environmental context" harmonized_name="env_broad_scale" display_name="broad-scale environmental context">mouse digestive system</Attribute>     <Attribute attribute_name="broker name">EMG broker account, EMBL-EBI</Attribute>     <Attribute attribute_name="collection date" harmonized_name="collection_date" display_name="collection date">2016-03-10</Attribute>     <Attribute attribute_name="completeness score">98.3</Attribute>     <Attribute attribute_name="completeness software">CheckM</Attribute>     <Attribute attribute_name="contamination score">0.38</Attribute>     <Attribute attribute_name="environmental medium" harmonized_name="env_medium" display_name="environmental medium">feces</Attribute>     <Attribute attribute_name="geographic location (country and/or sea)" harmonized_name="geo_loc_name" display_name="geographic location">Germany</Attribute>     <Attribute attribute_name="geographic location (latitude)">52.62686</Attribute>     <Attribute attribute_name="geographic location (longitude)">13.507567</Attribute>     <Attribute attribute_name="investigation type" harmonized_name="investigation_type" display_name="investigation type">metagenome-assembled genome</Attribute>     <Attribute attribute_name="isolation_source" harmonized_name="isolation_source" display_name="isolation source">mouse gut metagenome</Attribute>     <Attribute attribute_name="local environmental context">digestive tube</Attribute>     <Attribute attribute_name="metagenomic source">mouse gut metagenome</Attribute>     <Attribute attribute_name="project name" harmonized_name="project_name" display_name="project name">Hypertension (HTN) can lead to heart and kidney damage. The gut microbiota has been linked to HTN, although it is difficult to estimate its significance due to the variety of other features known to influence HTN. In the present study, we used germ-free (GF) and colonized (COL) littermate mice to quantify the impact of microbial colonization on organ damage in HTN.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Four-week-old male GF C57BL/6J littermates were randomized to remain GF or receive microbial colonization. HTN was induced by subcutaneous infusion with angiotensin (Ang) II (1.44mg/kg/d) and 1% NaCl in the drinking water; sham-treated mice served as control. Renal damage was exacerbated in GF mice, whereas cardiac damage was more comparable between COL and GF, suggesting that the kidney is more sensitive to microbial influence. Multivariate analysis revealed a larger effect of HTN in GF mice. Serum metabolomics demonstrated that the colonization status influences circulating metabolites relevant to HTN. Importantly, GF mice were deficient in anti-inflammatory fecal short-chain fatty acids (SCFA). Flow cytometry showed that the microbiome has an impact on the induction of anti-hypertensive myeloid-derived suppressor cells and pro-inflammatory Th17 cells in HTN. In vitro inducibility of Th17 cells was significantly higher for cells isolated from GF than conventionally raised mice.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Microbial colonization status of mice had potent effects on their phenotypic response to a hypertensive stimulus, and the kidney is a highly microbiota-susceptible target organ in HTN. The magnitude of the pathogenic response in GF mice underscores the role of the microbiome in mediating inflammation in HTN.</Attribute>     <Attribute attribute_name="sample derived from">SAMN26378637</Attribute>     <Attribute attribute_name="sample name" harmonized_name="sample_name" display_name="sample name">SRR18243799_bin.17_metawrap_v1.3_MAG</Attribute>     <Attribute attribute_name="sequencing method">Illumina NovaSeq 6000</Attribute>     <Attribute attribute_name="taxonomic classification">The taxonomy of this metagenome-assembled genome was originally computed with GTDBtk, which assigned the following taxonomic annotation: d__Bacteria;p__Bacteroidetes;c__Bacteroidia;o__Bacteroidales;f__Muribaculaceae;g__;s__</Attribute>     <Attribute attribute_name="taxonomic identity marker">multi-marker approach</Attribute>   </Attributes>   <Status status="live" when="2023-01-21T10:01:10.480"/> </BioSample> </BioSampleSet>
