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Systematic Analysis of Bottlenecks in a Multibranched and Multilevel Regulated Pathway: The Molecular Fundamentals of l-Methionine Biosynthesis in Escherichia coli

蛋氨酸 焊剂(冶金) 生物合成 代谢通量分析 代谢工程 生物化学 生物 大肠杆菌 计算生物学 代谢组学 化学 代谢途径 新陈代谢 氨基酸 基因 生物信息学 有机化学
作者
Jianfeng Huang,Zhen‐Yang Shen,Qiao-Li Mao,Xiaoming Zhang,Bo Zhang,Jia-Shu Wu,Zhi‐Qiang Liu,Yu‐Guo Zheng
出处
期刊:ACS Synthetic Biology [American Chemical Society]
卷期号:7 (11): 2577-2589 被引量:66
标识
DOI:10.1021/acssynbio.8b00249
摘要

To produce chemicals and fuels from renewable resources, various strategies and genetic tools have been developed to redesign pathways and optimize the metabolic flux in microorganisms. However, in most successful cases, the target chemicals are synthesized through a linear pathway, and regular methodologies for the identification of bottlenecks and metabolic flux optimization in multibranched and multilevel regulated pathways, such as the l-methionine biosynthetic pathway, have rarely been reported. In the present study, a systematic analysis strategy was employed to gradually reveal and remove the potential bottlenecks limiting the l-methionine biosynthesis in E. coli. 80 genes in central metabolism and selected amino acids biosynthetic pathways were first repressed or upregulated to probe their effects on l-methionine accumulation. The l-methionine biosynthetic pathway was then modularized and iteratively genetic modifications were performed to uncover the multiple layers of limitations and stepwise improve the l-methionine titer. The metabolomics data further revealed a more evenly distributed metabolic flux in l-methionine biosynthesis pathway of the optimal strain and provided valuable suggestions for further optimization. The optimal strain produced 16.86 g/L of l-methionine in 48 h by fed-batch fermentation. This work is the first to our knowledge to systematically elucidate the molecular fundamentals of multilevel regulation of l-methionine biosynthesis. It also demonstrated that the systematic analysis strategy can boost our ability to identify the potential bottlenecks and optimize the metabolic flux in multibranched and multilevel regulated pathways for the production of corresponding chemicals.
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