| collection date | 2013-05-04 |
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| broad-scale environmental context | Engineered |
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| local-scale environmental context | Food production |
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| environmental medium | Food production |
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| geographic location | China |
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| investigation type | metagenome-assembled genome |
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| isolation source | food production metagenome |
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| project name | Chinese liquor is produced by a solid-state fermentation process used for hundreds of years. The process is carried out in rectangular soil pits, whose walls have been layered with a fermentation mud. The age of these this layer is believed to influence final liquor quality and the microbes resident here form the inoculum for fermentation. Microbial diversity in these layers is poorly understood. This is the first report which describes a deep metagenomic sequencing based study to reveal the microbial diversity from 24 pits of varying ages, 20, 30, 50, 140, 220, 350, 400 and 440 years. |
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| sample name | SRR1562008_bin.30_CONCOCT_v1.1_MAG |
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| ENA-CHECKLIST | ERC000047 |
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| ENA-FIRST-PUBLIC | 2023-01-03 |
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| ENA-LAST-UPDATE | 2023-01-03 |
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| External Id | SAMEA14037509 |
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| INSDC center alias | EBI |
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| INSDC center name | European Bioinformatics Institute |
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| INSDC first public | 2023-01-03T00:32:13Z |
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| INSDC last update | 2023-01-03T00:32:13Z |
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| INSDC status | public |
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| Submitter Id | SRR1562008_bin.30_CONCOCT_v1.1_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 | metaspadesv3.12.0 |
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| binning parameters | Default |
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| binning software | CONCOCT v1.1 |
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| broker name | EMG broker account, EMBL-EBI |
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| completeness score | 93.26 |
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| completeness software | CheckM |
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| contamination score | 4.49 |
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| geographic location (latitude) | 30.65 |
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| geographic location (longitude) | 104.06 |
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| metagenomic source | food production metagenome |
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| sample derived from | SAMN03018331 |
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| scientific_name | uncultured Bacillales bacterium |
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| sequencing method | Illumina HiSeq 2000 |
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| taxonomic identity marker | multi-marker approach |
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