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Luo2022 - iLJ1162-genome-scale metabolic network Shewanella oneidensis MR-1


ABSTRACT: The model iLJ1162 , comprised 1162 genes, 1818 metabolites and 2084 reactions, can accurately predict cellular growth using a variety of substrates with a 86.9% identity with experiment results, which is significantly higher than 62.3% and 61.9% simulated by previous published model iMR1_799 and iSO783.

SUBMITTER: Krishna Kumar Tiwari 

PROVIDER: MODEL2205050001 | biostudies-other |

SECONDARY ACCESSION(S): 35646853

REPOSITORIES: biostudies-other

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Publications

Reconstruction of a Genome-Scale Metabolic Network for <i>Shewanella oneidensis</i> MR-1 and Analysis of its Metabolic Potential for Bioelectrochemical Systems.

Luo Jiahao J   Yuan Qianqian Q   Mao Yufeng Y   Wei Fan F   Zhao Juntao J   Yu Wentong W   Kong Shutian S   Guo Yanmei Y   Cai Jingyi J   Liao Xiaoping X   Wang Zhiwen Z   Ma Hongwu H  

Frontiers in bioengineering and biotechnology 20220512


Bioelectrochemical systems (BESs) based on <i>Shewanella oneidensis</i> MR-1 offer great promise for sustainable energy/chemical production, but the low rate of electron generation remains a crucial bottleneck preventing their industrial application. Here, we reconstructed a genome-scale metabolic model of MR-1 to provide a strong theoretical basis for novel BES applications. The model iLJ1162, comprising 1,162 genes, 1,818 metabolites and 2,084 reactions, accurately predicted cellular growth us  ...[more]

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