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Reconstruction of a Genome-Scale Metabolic Network for Shewanella oneidensis MR-1 and Analysis of its Metabolic Potential for Bioelectrochemical Systems
Bioelectrochemical systems (BESs) based on Shewanella oneidensis 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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133699/ https://www.ncbi.nlm.nih.gov/pubmed/35646853 http://dx.doi.org/10.3389/fbioe.2022.913077 |
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author | Luo, Jiahao Yuan, Qianqian Mao, Yufeng Wei, Fan Zhao, Juntao Yu, Wentong Kong, Shutian Guo, Yanmei Cai, Jingyi Liao, Xiaoping Wang, Zhiwen Ma, Hongwu |
author_facet | Luo, Jiahao Yuan, Qianqian Mao, Yufeng Wei, Fan Zhao, Juntao Yu, Wentong Kong, Shutian Guo, Yanmei Cai, Jingyi Liao, Xiaoping Wang, Zhiwen Ma, Hongwu |
author_sort | Luo, Jiahao |
collection | PubMed |
description | Bioelectrochemical systems (BESs) based on Shewanella oneidensis 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 using a variety of substrates with 86.9% agreement with experimental results, which is significantly higher than the previously published models iMR1_799 and iSO783. The simulation of microbial fuel cells indicated that expanding the substrate spectrum of MR-1 to highly reduced feedstocks, such as glucose and glycerol, would be beneficial for electron generation. In addition, 31 metabolic engineering targets were predicted to improve electricity production, three of which have been experimentally demonstrated, while the remainder are potential targets for modification. Two potential electron transfer pathways were identified, which could be new engineering targets for increasing the electricity production capacity of MR-1. Finally, the iLJ1162 model was used to simulate the optimal biosynthetic pathways for six platform chemicals based on the MR-1 chassis in microbial electrosynthesis systems. These results offer guidance for rational design of novel BESs. |
format | Online Article Text |
id | pubmed-9133699 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91336992022-05-27 Reconstruction of a Genome-Scale Metabolic Network for Shewanella oneidensis MR-1 and Analysis of its Metabolic Potential for Bioelectrochemical Systems Luo, Jiahao Yuan, Qianqian Mao, Yufeng Wei, Fan Zhao, Juntao Yu, Wentong Kong, Shutian Guo, Yanmei Cai, Jingyi Liao, Xiaoping Wang, Zhiwen Ma, Hongwu Front Bioeng Biotechnol Bioengineering and Biotechnology Bioelectrochemical systems (BESs) based on Shewanella oneidensis 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 using a variety of substrates with 86.9% agreement with experimental results, which is significantly higher than the previously published models iMR1_799 and iSO783. The simulation of microbial fuel cells indicated that expanding the substrate spectrum of MR-1 to highly reduced feedstocks, such as glucose and glycerol, would be beneficial for electron generation. In addition, 31 metabolic engineering targets were predicted to improve electricity production, three of which have been experimentally demonstrated, while the remainder are potential targets for modification. Two potential electron transfer pathways were identified, which could be new engineering targets for increasing the electricity production capacity of MR-1. Finally, the iLJ1162 model was used to simulate the optimal biosynthetic pathways for six platform chemicals based on the MR-1 chassis in microbial electrosynthesis systems. These results offer guidance for rational design of novel BESs. Frontiers Media S.A. 2022-05-12 /pmc/articles/PMC9133699/ /pubmed/35646853 http://dx.doi.org/10.3389/fbioe.2022.913077 Text en Copyright © 2022 Luo, Yuan, Mao, Wei, Zhao, Yu, Kong, Guo, Cai, Liao, Wang and Ma. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioengineering and Biotechnology Luo, Jiahao Yuan, Qianqian Mao, Yufeng Wei, Fan Zhao, Juntao Yu, Wentong Kong, Shutian Guo, Yanmei Cai, Jingyi Liao, Xiaoping Wang, Zhiwen Ma, Hongwu Reconstruction of a Genome-Scale Metabolic Network for Shewanella oneidensis MR-1 and Analysis of its Metabolic Potential for Bioelectrochemical Systems |
title | Reconstruction of a Genome-Scale Metabolic Network for Shewanella oneidensis MR-1 and Analysis of its Metabolic Potential for Bioelectrochemical Systems |
title_full | Reconstruction of a Genome-Scale Metabolic Network for Shewanella oneidensis MR-1 and Analysis of its Metabolic Potential for Bioelectrochemical Systems |
title_fullStr | Reconstruction of a Genome-Scale Metabolic Network for Shewanella oneidensis MR-1 and Analysis of its Metabolic Potential for Bioelectrochemical Systems |
title_full_unstemmed | Reconstruction of a Genome-Scale Metabolic Network for Shewanella oneidensis MR-1 and Analysis of its Metabolic Potential for Bioelectrochemical Systems |
title_short | Reconstruction of a Genome-Scale Metabolic Network for Shewanella oneidensis MR-1 and Analysis of its Metabolic Potential for Bioelectrochemical Systems |
title_sort | reconstruction of a genome-scale metabolic network for shewanella oneidensis mr-1 and analysis of its metabolic potential for bioelectrochemical systems |
topic | Bioengineering and Biotechnology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133699/ https://www.ncbi.nlm.nih.gov/pubmed/35646853 http://dx.doi.org/10.3389/fbioe.2022.913077 |
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