Efficient C25-Hydroxylation of Vitamin D<sub>3</sub> Utilizing an Artificial Self-Sufficient Whole-Cell Cytochrome P450 Biocatalyst
Cytochrome P450 enzymes (P450s) are promising candidates for the biosynthesis of 25-hydroxyvitamin D<sub>3</sub> (25(OH)VD<sub>3</sub>). However, their industrial application is limited by challenges, such as low stability, inefficient catalysis, and uncoupling reactions. The construction of self-sufficient P450s offers a strategic solution to these limitations, but requires linker optimization to regulate interdomain conformational dynamics. In this study, we integrated whole-cell biocatalyst screening with systematic optimization of reaction conditions, including cosolvents, cell concentrations, and plasmid selection, to enhance catalytic performance. Under optimized conditions, the heme domain Vdh-K1 achieved a 91.6% conversion efficiency and was subsequently selected for chimeric enzyme assembly. By employing local energetic frustration analysis to evaluate protein flexibility and allosteric dynamics, we identified chimeric P450 variants with highly frustrated linkers. The optimal variant, VK1-CYP116B46-L21, exhibited improved thermostability, catalytic activity, and coupling efficiency, achieving a yield of 4.89 mM (1.96 g/L) 25(OH)VD<sub>3</sub> in <i>Escherichia coli</i> whole-cell catalysis─the highest reported yield to date. This work underscores the utility of computational frustration analysis in refining linker dynamics for multidomain enzymes and establishes a scalable, cost-effective framework to advance P450s systems for industrial biosynthesis of high-value compounds.
Authors
- Qiao Zhou (ORCID: https://orcid.org/0000-0003-2666-2283)
- Bin Yao (ORCID: https://orcid.org/0000-0002-5425-3260)
- Jian Tian (ORCID: https://orcid.org/0000-0002-9997-6518)
- Huiying Luo (ORCID: https://orcid.org/0000-0002-4596-2639)
- Xing Qin (ORCID: https://orcid.org/0000-0003-1119-9740)
- Tao Tu (ORCID: https://orcid.org/0000-0002-1661-0386)
- Ziqi Liang (ORCID: https://orcid.org/0009-0007-3728-2274)
- Xiaojun Yang (ORCID: https://orcid.org/0000-0001-9702-7039)
- Yuan Wang (ORCID: https://orcid.org/0000-0002-4645-3916)
- Yicheng Li (ORCID: https://orcid.org/0000-0003-4431-0003)
- Yiwen Shen
- Xiaoqing Liu (ORCID: https://orcid.org/0009-0007-5821-8909)
- Xiaolu Wang (ORCID: https://orcid.org/0000-0001-5749-1152)
Institutions
- Kerala Veterinary and Animal Sciences University (IN)
- Chinese Academy of Agricultural Sciences (CN)
- Institute of Animal Sciences (CN)
- State Key Laboratory of Animal Nutrition
- Northwest A&F University (CN)
Publication Details
- Journal
- Journal of Agricultural and Food Chemistry
- Published
- 2025-03-20
- DOI
- https://doi.org/10.1021/acs.jafc.4c12356
- Citations
- 2
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 3.01
Funders
- National Natural Science Foundation of China
- Agricultural Science and Technology Innovation Program