| Literature DB >> 32648933 |
Chao Ye1,2,3, Qiuling Luo1,3, Liang Guo1,3, Cong Gao1,3, Nan Xu4, Li Zhang5, Liming Liu1,3, Xiulai Chen1,3.
Abstract
Microbial cell factories are widely used for the production of high-value chemicals. However, maximizing production titers is made difficult by the complicated regulatory mechanisms of these cell platforms. Here, kcat values were incorporated to construct an Escherichia coli enzyme-constrained model. The resulting ec_iML1515 model showed that the protein demand and protein synthesis rate were the key factors affecting lysine production. By optimizing the expression of the 20 top-demanded proteins, lysine titers reached 95.7 ± 0.7 g/L, with a 0.45 g/g glucose yield. Moreover, adjusting NH4 + and dissolved oxygen levels to regulate the synthesis rate of energy metabolism-related proteins caused lysine titers and glucose yields to increase to 193.6 ± 1.8 g/L and 0.74 g/g, respectively. The ec_iML1515 model provides insight into how enzymes required for the biosynthesis of certain products are distributed between and within metabolic pathways. This information can be used to accurately predict and rationally design lysine production.Entities:
Keywords: Escherichia coli; enzyme-constrained model; lysine production; protein demand; protein synthesis rate
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Year: 2020 PMID: 32648933 DOI: 10.1002/bit.27485
Source DB: PubMed Journal: Biotechnol Bioeng ISSN: 0006-3592 Impact factor: 4.530