Machine learning-assisted identification of bioindicators predicts medium-chain carboxylate production performance of an anaerobic mixed culture

Abstract Background The ability to quantitatively predict ecophysiological functions of microbial communities provides an important step to engineer microbiota for desired functions related to specific biochemical conversions. Here, we present the quantitative prediction of medium-chain carboxylate...

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主要な著者:	Bin Liu, Heike Sträuber, João Saraiva, Hauke Harms, Sandra Godinho Silva, Jonas Coelho Kasmanas, Sabine Kleinsteuber, Ulisses Nunes da Rocha
フォーマット:	Artigo
言語:	Inglês
出版事項:	BMC 2022-03-01
シリーズ:	Microbiome
主題:	Predictive biology Carboxylate platform Model ecosystems Reactor microbiota Microbial chain elongation
オンライン･アクセス:	https://doi.org/10.1186/s40168-021-01219-2
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