Combining biosensor and metabolic network optimization strategies for enhanced l-threonine production in Escherichia coli
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<sub>cysK</sub> promoter and CysB protein were used to construct a primary L-threonine biosensor, and then the CysB<sup>T102A</sup> 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.
Authors
- Zhenqiang Zhao
- Minglong Shao
- Jiajia You (ORCID: https://orcid.org/0009-0000-0055-4124)
- Rongshuai Zhu
- Meijuan Xu (ORCID: https://orcid.org/0000-0001-5602-8262)
- Zhiming Rao (ORCID: https://orcid.org/0000-0003-2495-0660)
- Youxi Zhao
- Rongzhen Zhang (ORCID: https://orcid.org/0000-0002-5745-1190)
- Xuanping Shi
- Fengyu Yang (ORCID: https://orcid.org/0000-0001-9262-3499)
Institutions
- Jiangnan University (CN)
- Beijing Union University (CN)
- Jiangsu Industry Technology Research Institute (CN)
Publication Details
- Journal
- Biotechnology for Biofuels and Bioproducts
- Published
- 2025-03-26
- DOI
- https://doi.org/10.1186/s13068-025-02640-7
- Citations
- 3
- Primary Topic
- Microbial Metabolic Engineering and Bioproduction
- Type
- article
- Field-Weighted Citation Impact
- 2.42