broad-scale environmental context | mouse digestive system |
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collection date | 2018-04-19 |
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environmental medium | feces |
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geographic location | USA |
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investigation type | metagenome-assembled genome |
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isolation source | mouse gut metagenome |
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project name | In this study, we sought to investigate the hypothesis that dietary nicotinamide riboside supplementation alters the murine gut microbiome to mediate diet-induced weight gain deflection. To test this hypothesis, we fed C57BL6J males a high-fat diet supplemented with or without NR and then performed a fecal material transplant into naive recipients. |
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sample name | SRR13827506_bin.20_metawrap_v1.3_MAG |
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ENA-CHECKLIST | ERC000047 |
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ENA-FIRST-PUBLIC | 2022-10-21 |
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ENA-LAST-UPDATE | 2022-10-21 |
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External Id | SAMEA111497057 |
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INSDC center alias | EMG |
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INSDC center name | EMG |
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INSDC first public | 2022-10-21T12:25:30Z |
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INSDC last update | 2022-10-21T12:25:30Z |
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INSDC status | public |
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Submitter Id | SRR13827506_bin.20_metawrap_v1.3_MAG |
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assembly quality | Many fragments with little to no review of assembly other than reporting of standard assembly statistics |
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assembly software | metaSPAdes v3.15.3 |
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binning parameters | MaxBin2, MetaBat2, Concoct with default parameter of the metaWRAP pipeline. Bin refinement module used from metaWRAP with default parameters. |
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binning software | metawrap v1.3 |
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broker name | EMG broker account, EMBL-EBI |
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completeness score | 99.41 |
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completeness software | CheckM |
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contamination score | 0.57 |
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geographic location (latitude) | 43.043 |
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geographic location (longitude) | -88.0221 |
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local environmental context | digestive tube |
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metagenomic source | mouse gut metagenome |
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sample derived from | SAMN18043937 |
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sequencing method | Illumina NovaSeq 6000 |
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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__Bacteroidaceae;g__Bacteroides;s__Bacteroides thetaiotaomicron |
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taxonomic identity marker | multi-marker approach |
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