Biosensor-enabled pathway optimization in metabolic engineering

被引:34
|
作者
Teng, Yuxi [1 ]
Zhang, Jianli [1 ]
Jiang, Tian [1 ]
Zou, Yusong [1 ]
Gong, Xinyu [1 ]
Yan, Yajun [1 ]
机构
[1] Univ Georgia, Coll Engn, Sch Chem Mat & Biomed Engn, Athens, GA 30602 USA
基金
美国国家卫生研究院;
关键词
GENETICALLY-ENCODED BIOSENSORS; QUORUM-SENSING CIRCUIT; DYNAMIC CONTROL; GENE-EXPRESSION; ACID PRODUCTION; DESIGN; FLUX; STRATEGIES; REGULATOR; CHEMICALS;
D O I
10.1016/j.copbio.2022.102696
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Microbes can convert inexpensive renewable substrates to valuable metabolites by their natural metabolic pathways. To maximize the productivity, the pathways yet require further optimization, which remains challenging for our limited knowledge of complex biology. Genetically encoded biosensors are able to detect metabolite concentrations or environmental changes and transfer these inputs to measurable or actionable outputs, thus providing enabling regulation and monitoring tools for complicated pathway optimization. Here, we review recent advances in biosensormediated dynamic regulation and strain screening for the highest microbial production of diverse desirable products.
引用
收藏
页数:9
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