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结合生物传感器和代谢网络优化策略以提高大肠杆菌中L-苏氨酸的产量

Combining biosensor and metabolic network optimization strategies for enhanced L-threonine production in Escherichia coli.

作者信息

Zhao Zhenqiang, Zhu Rongshuai, Shi Xuanping, Yang Fengyu, Xu Meijuan, Shao Minglong, Zhang Rongzhen, Zhao Youxi, You Jiajia, Rao Zhiming

机构信息

Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, 214122, Jiangsu, China.

Institute of Future Food Technology, JITRI, Yixing, 214200, China.

出版信息

Biotechnol Biofuels Bioprod. 2025 Mar 26;18(1):37. doi: 10.1186/s13068-025-02640-7.

Abstract

L-threonine is an integral nutrient for mammals, often used in animal feeds to enhance growth and reduce breeding costs. Developing L-threonine engineered strains that meet industrial production specifications has significant economic value. Here, we developed a biosensor that monitors L-threonine concentration to assist in high-throughput screening to capture high-yielding L-threonine mutants. Among them, the P promoter and CysB protein were used to construct a primary L-threonine biosensor, and then the CysB mutant was obtained through directed evolution resulting in a 5.6-fold increase in the fluorescence responsiveness of biosensor over the 0-4 g/L L-threonine concentration range. In addition, the metabolic network of mutant was further optimized through multi-omics analysis and in silico simulation. Ultimately, the THRM13 strain produced 163.2 g/L L-threonine, with a yield of 0.603 g/g glucose in a 5 L bioreactor. The biosensor constructed here could be employed for iterative upgrading of subsequent strains, and these engineering strategies described provide guidance for other chemical overproducers.

摘要

L-苏氨酸是哺乳动物不可或缺的营养物质,常用于动物饲料中以促进生长并降低养殖成本。开发符合工业生产规格的L-苏氨酸工程菌株具有重大经济价值。在此,我们开发了一种监测L-苏氨酸浓度的生物传感器,以协助高通量筛选,捕获高产L-苏氨酸突变体。其中,利用P启动子和CysB蛋白构建了一个初级L-苏氨酸生物传感器,然后通过定向进化获得了CysB突变体,在0至4 g/L L-苏氨酸浓度范围内,生物传感器的荧光响应性提高了5.6倍。此外,通过多组学分析和计算机模拟进一步优化了突变体的代谢网络。最终,THRM13菌株在5 L生物反应器中产生了163.2 g/L L-苏氨酸,葡萄糖产率为0.603 g/g。此处构建的生物传感器可用于后续菌株的迭代升级,所描述的这些工程策略为其他化学过量生产菌株提供了指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eb8/11938683/a4a8eaf569b5/13068_2025_2640_Fig1_HTML.jpg

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