One-pot two-strain system based on glucaric acid biosensor for rapid screening of myo-inositol oxygenase mutations and glucaric acid production in recombinant cells

大肠杆菌 代谢工程 高通量筛选 重组DNA 生物传感器 酿酒酵母 生物化学 酵母 拉伤 化学 生物 基因 解剖
作者
Shuang Zheng,Jin Hou,Yi Zhou,Hao Fang,Tingting Wang,Fei Liu,Fengshan Wang,Juzheng Sheng
出处
期刊:Metabolic Engineering [Elsevier]
卷期号:49: 212-219 被引量:31
标识
DOI:10.1016/j.ymben.2018.08.005
摘要

The development of D-glucaric acid (GA) production in recombinant cells has leapt forward in recent years, and higher throughput screening and selection of better-performing recombinant cells or biocatalysts is in current demand. A biosensor system which converts GA concentration into fluorescence signal in Escherichia coli was developed in 2016, but its application has rarely been reported. Herein, an effective high-throughput screening approach independent of special-purpose devices such as microfluidic platforms was established and tentatively applied. In this one-pot two-strain system, GA producers—bacterial or yeast cells containing the GA biosynthetic pathway—were sorted with the help of another E. coli strain acting as a GA biosensor. The identification of highly active mutants of myo-inositol oxygenase through this system validates its effectiveness in sorting E. coli cells. Subsequently, accurate ranking of the GA synthesis capacity of a small library of Saccharomyces cerevisiae strains containing distinct GA synthesis pathways demonstrated that this optimized one-pot two-strain system may also be used for eukaryotic producer strains. These results will assist in research into metabolic engineering for GA production and development of biosensor applications.
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