<?xml version="1.0" ?>
<BioSampleSet><BioSample access="public" publication_date="2023-01-31T00:00:00.000" last_update="2023-01-31T13:20:03.000" submission_date="2023-02-01T08:23:21.876" id="33004721" accession="SAMEA112444859">   <Ids>     <Id db="BioSample" is_primary="1">SAMEA112444859</Id>     <Id db="SRA">ERS14555152</Id>   </Ids>   <Description>     <Title>Metagenome-Assembled Genome: ERR4405424_bin.11_metawrap_v1.3_MAG</Title>     <Organism taxonomy_id="195049" taxonomy_name="uncultured Clostridiaceae bacterium">       <OrganismName>uncultured Clostridiaceae bacterium</OrganismName>     </Organism>     <Comment>       <Paragraph>This sample represents a Third Party Annotation (TPA) metagenome-assembled genome assembled from the metagenomic run ERR4405424 of study ERP123227.</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="INSDC center name">EMG</Attribute>     <Attribute attribute_name="Submitter Id">ERR4405424_bin.11_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">EBI-EMG</Attribute>     <Attribute attribute_name="collection date" harmonized_name="collection_date" display_name="collection date">not provided</Attribute>     <Attribute attribute_name="completeness score">75.17</Attribute>     <Attribute attribute_name="completeness software">CheckM</Attribute>     <Attribute attribute_name="contamination score">1.01</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">USA</Attribute>     <Attribute attribute_name="geographic location (latitude)">32.842</Attribute>     <Attribute attribute_name="geographic location (longitude)">-117.258</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">Chronic viruses such as Human Immunodeficiency Virus or Hepatitis C Virus currently afflict hundreds of millions of people worldwide. Some chronic viruses are able to colonize mucosal surfaces such as the gastrointestinal tract (GI), which act as barrier tissues that allow selective interaction of the host’s mucosal immune system with environmental factors such as microbiota, food antigens or pathogens. Gut mucosal alterations are associated with highly inflammatory conditions and diseases including obesity and autism. Although numerous correlative studies associate specific GI tract microbial species with immune parameters and health of HIV-infected individuals, mechanistic studies establishing a causal relationship between certain components of the microbiota, the anti-viral immune response, host resistance and tolerance to the infection are lacking. Here we propose to combine high- throughput microbiological techniques with immunological approaches in order to gain functional understanding on the impact of the intestinal microbiota in gut health and overall anti-viral immunity in a well-established mouse model of chronic viral infection. By doing so, we will contribute to the basic understanding on how hosts can adapt to life-long coexistence with persistent pathogens and the implications for host health</Attribute>     <Attribute attribute_name="sample derived from">SAMEA7118375</Attribute>     <Attribute attribute_name="sample name" harmonized_name="sample_name" display_name="sample name">ERR4405424_bin.11_metawrap_v1.3_MAG</Attribute>     <Attribute attribute_name="scientific_name">uncultured Clostridiaceae bacterium</Attribute>     <Attribute attribute_name="sequencing method">Illumina HiSeq 4000</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__Firmicutes;c__Clostridia;o__Eubacteriales;f__Clostridiaceae;g__;s__</Attribute>     <Attribute attribute_name="taxonomic identity marker">multi-marker approach</Attribute>   </Attributes>   <Status status="live" when="2023-02-02T10:12:25.177"/> </BioSample> </BioSampleSet>
