Combining biosensor and metabolic network optimization strategies for enhanced <sc>l</sc>-threonine production in Escherichia coli

被引:0
|
作者
Zhao, Zhenqiang [1 ,2 ]
Zhu, Rongshuai [1 ,2 ]
Shi, Xuanping [1 ,2 ]
Yang, Fengyu [1 ,2 ]
Xu, Meijuan [1 ,2 ]
Shao, Minglong [1 ,2 ]
Zhang, Rongzhen [1 ]
Zhao, Youxi [3 ]
You, Jiajia [1 ,2 ]
Rao, Zhiming [1 ,2 ]
机构
[1] Jiangnan Univ, Sch Biotechnol, Key Lab Ind Biotechnol, Minist Educ, Wuxi 214122, Jiangsu, Peoples R China
[2] JITRI, Inst Future Food Technol, Yixing 214200, Peoples R China
[3] Beijing Union Univ, Coll Biochem Engn, Beijing 100023, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
<sc>l</sc>-Threonine biosensor; Directed evolution; High-throughput; Multi-omics analysis; In silico simulation; GENE; FLUX; EXPRESSION; DESIGN;
D O I
10.1186/s13068-025-02640-7
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
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 PcysK promoter and CysB protein were used to construct a primary l-threonine biosensor, and then the Cys(BT102A) 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.
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收藏
页数:15
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