对大肠杆菌进行代谢工程改造,以自诱导生产 l-异亮氨酸。

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Jie Song, Miaomiao Zhuang, Chunyan Du, Xiaoqing Hu, Xiaoyuan Wang
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引用次数: 0

摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metabolic Engineering of Escherichia coli for Self-Induced Production of l-Isoleucine.

As one of the three important branched-chain amino acids, l-isoleucine has a wide range of applications in the fields of medicine, food, and feed. Currently, the production of l-isoleucine is well-studied by Corynebacterium glutamicum, while the autonomous and efficient production of l-isoleucine in Escherichia coli has not been reported. Here, we developed a production strategy that combined metabolic engineering with bacterial quorum sensing to achieve the efficient production of l-isoleucine. First, we enhanced the l-isoleucine synthesis pathway by overexpressing the genes ilvIH1, CgilvA1, and ygaZH. Second, the precursor supply was increased by knocking out the gene rhtC, while deletion of the gene livJ was implemented to maximize the accumulation of l-isoleucine. Finally, the artificial quorum sensing system was applied to the efficient production of l-isoleucine, and self-induced protein expression in E. coli was realized through self-regulation during fermentation. In this study, an l-threonine high-yielding strain of E. coli TWF106 was used as the starting strain, and the final strain TWF127/pST1011, pST1042-IH1ZHA1 obtained 49.3 g/L l-isoleucine with a yield of 0.32 g/g glucose and a productivity of 1.03 g/(L·h). This autonomous production strategy without the addition of inducers can also be used in other biosynthetic pathways to increase yields while also providing the possibility for various natural products to be applied to industrial production.

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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
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