Intermediate-sensor assisted push-pull strategy and its application in heterologous deoxyviolacein production in Escherichia coli

被引:58
作者
Fang, Mingyue [1 ]
Wang, Tianmin [1 ]
Zhang, Chong [1 ]
Bai, Jili [1 ]
Zheng, Xiang [1 ]
Zhao, Xuejin [2 ]
Lou, Chunbo [2 ]
Xing, Xin-Hui [1 ]
机构
[1] Tsinghua Univ, Ctr Synthet & Syst Biol, Dept Chem Engn, Key Lab Ind Biocatalysis,Minist Educ,Inst Biochem, Beijing 10084, Peoples R China
[2] Chinese Acad Sci, Inst Microbiol, Key Lab Microbial Physiol & Metab Engn, Beijing 100101, Peoples R China
基金
中国国家自然科学基金;
关键词
Pathway engineering; High-throughput screening; Biosensor; Deoxyviolacein biosynthesis; Sequential optimization; FATTY-ACIDS PRODUCTION; VIOLACEIN PRODUCTION; ISOPRENOID PATHWAY; OPTIMIZATION; RIBOSOME; RNA; TRANSCRIPTION; EXPRESSION; EVOLUTION; SYSTEMS;
D O I
10.1016/j.ymben.2015.10.006
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Because high-throughput screening tools are typically unavailable when using the pathway-engineering approach, we developed a new strategy, named intermediate sensor-assisted push-pull strategy, which enables sequential pathway optimization by incorporating a biosensor targeting a key pathway intermediate. As proof of concept, we constructed an L-Trp biosensor and used it to optimize the deoxyviolacein biosynthetic pathway, which we divided into two modules with L-Trp being the product of the upstream and the substrate of the downstream module for deoxyviolacein synthesis. Using the biosensor and fluorescence-activated cell sorting, the activities of the two modules were sequentially and independently optimized in Escherichia coil to achieve the desired phenotypes. By this means, we increased the deoxyviolacein titer 4.4-fold (1.92 g/L), which represents the greatest deoxyviolacein production reported. This work suggests that a biosynthetic pathway can be enhanced to produce a value-added secondary metabolite(s) without available end-product screening method by using a central metabolic junction molecule biosensor(s). (C) 2015 International Metabolic Engineering Society. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:41 / 51
页数:11
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