Journal
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
Volume 10, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fbioe.2022.913077
Keywords
genome-scale metabolic model; Shewanella oneidensis MR-1; microbial fuel cells; microbial electrosynthesis; constraint-based flux analysis
Funding
- National Key Research and Development Program of China [2018YFA0901300]
- National Natural Science Foundation of China [21908239, 32101186]
- Tianjin Synthetic Biotechnology Innovation Capacity Improvement Project [TSBICIP-PTJS-001]
- Youth Innovation Promotion Association CAS
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A genome-scale metabolic model of Shewanella oneidensis MR-1 was reconstructed, providing a theoretical basis for novel bioelectrochemical system applications. The model accurately predicted cellular growth, potential targets for improving electricity production, and optimal biosynthetic pathways, offering guidance for rational design of BESs.
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.
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