<?xml version="1.0" ?>
<BioSampleSet><BioSample access="public" publication_date="2023-01-03T00:00:00.000" last_update="2023-04-12T11:15:29.000" submission_date="2023-01-04T08:28:49.043" id="32555798" accession="SAMEA14036485">   <Ids>     <Id db="BioSample" is_primary="1">SAMEA14036485</Id>     <Id db="SRA">ERS11639767</Id>   </Ids>   <Description>     <Title>Metagenome-assembled genome: ERR3519527_bin.43_CONCOCT_v1.1_MAG</Title>     <Organism taxonomy_id="191216" taxonomy_name="uncultured Microbacterium sp.">       <OrganismName>uncultured Microbacterium sp.</OrganismName>     </Organism>     <Comment>       <Paragraph>This sample represents a Third Party Annotation (TPA) Metagenome-Assembled Genome (MAG) assembled from the metagenomic run ERR3519527 of study ERP117308.</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">2023-01-03</Attribute>     <Attribute attribute_name="ENA-LAST-UPDATE">2023-01-03</Attribute>     <Attribute attribute_name="External Id">SAMEA14036485</Attribute>     <Attribute attribute_name="INSDC center alias">EBI</Attribute>     <Attribute attribute_name="INSDC center name">European Bioinformatics Institute</Attribute>     <Attribute attribute_name="INSDC first public">2023-01-03T00:32:01Z</Attribute>     <Attribute attribute_name="INSDC last update">2023-01-03T00:32:01Z</Attribute>     <Attribute attribute_name="INSDC status">public</Attribute>     <Attribute attribute_name="Submitter Id">ERR3519527_bin.43_CONCOCT_v1.1_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 v3.13.1</Attribute>     <Attribute attribute_name="binning parameters">Default</Attribute>     <Attribute attribute_name="binning software">CONCOCT v1.1</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">2017-01-01</Attribute>     <Attribute attribute_name="completeness score">94.76</Attribute>     <Attribute attribute_name="completeness software">CheckM</Attribute>     <Attribute attribute_name="contamination score">1.43</Attribute>     <Attribute attribute_name="environment (biome)" harmonized_name="env_broad_scale" display_name="broad-scale environmental context">Engineered</Attribute>     <Attribute attribute_name="environment (feature)" harmonized_name="env_local_scale" display_name="local-scale environmental context">Wastewater</Attribute>     <Attribute attribute_name="environment (material)" harmonized_name="env_medium" display_name="environmental medium">Wastewater</Attribute>     <Attribute attribute_name="geographic location (country and/or sea)" harmonized_name="geo_loc_name" display_name="geographic location">United Kingdom</Attribute>     <Attribute attribute_name="geographic location (latitude)">not provided</Attribute>     <Attribute attribute_name="geographic location (longitude)">not provided</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">wastewater metagenome</Attribute>     <Attribute attribute_name="metagenomic source">wastewater metagenome</Attribute>     <Attribute attribute_name="project name" harmonized_name="project_name" display_name="project name">Hospitals are nodal points for antimicrobial consumption and identification of resistant pathogens and therefore hospital wastewater is a potential major source of AMR. This study uses metagenomics to study how the abundances of resistance genes in hospital wastewater are related to clinical activity within different buildings of the hospital. Sewage was collected over a 24-hour period from multiple wastewater collection points representing different specialties within a tertiary hospital site and simultaneously from community sewage works. High throughput shotgun sequencing was performed using Illumina HiSeq4000. Sequence reads were assigned taxonomically and to the AMR genes in the ResFinder database. The measured AMR gene abundances were then correlated to hospital antimicrobial usage (AMU), other data on clinical activity such as patient/ward characteristics and resistance prevalence in clinical isolates.</Attribute>     <Attribute attribute_name="sample derived from">SAMEA5954000</Attribute>     <Attribute attribute_name="sample name" harmonized_name="sample_name" display_name="sample name">ERR3519527_bin.43_CONCOCT_v1.1_MAG</Attribute>     <Attribute attribute_name="scientific_name">uncultured Microbacterium sp.</Attribute>     <Attribute attribute_name="sequencing method">Illumina HiSeq 4000</Attribute>     <Attribute attribute_name="taxonomic identity marker">multi-marker approach</Attribute>   </Attributes>   <Status status="live" when="2023-01-05T08:26:59.487"/> </BioSample> </BioSampleSet>
