Literature DB >> 32551572

Directed Evolution of Ornithine Cyclodeaminase Using an EvolvR-Based Growth-Coupling Strategy for Efficient Biosynthesis of l-Proline.

Mengfei Long1, Meijuan Xu1, Zhina Qiao1, Zhenfeng Ma1, Tolbert Osire1, Taowei Yang1, Xian Zhang1, Minglong Shao1, Zhiming Rao1.   

Abstract

l-Proline takes a significant role in the pharmaceutical and chemical industries as well as graziery. Typical biosynthesis of l-proline is from l-glutamate, involving three enzyme reactions as well as a spontaneous cyclization. Alternatively, l-proline can be also synthesized in l-ornithine and/or l-arginine producing strains by an ornithine aminotransferase (OCD). In this study, a strategy of directed evolution combining rare codon selection and pEvolvR was developed to screen OCD with high catalytic efficiency, improving l-proline production from l-arginine chassis cells. The mutations were generated by CRISPR-assisted DNA polymerases and were screened by growth-coupled rare codon selection system. OCDK205G/M86K/T162A from Pseudomonas putida was identified with 2.85-fold increase in catalytic efficiency for the synthesis of l-proline. Furthermore, we designed and optimized RBS for the BaargI and Ppocd coupling cascade using RedLibs, as well as sRNA inhibition of argF to moderate l-proline biosynthesis in l-arginine overproducing Corynebacterium crenatum. The strain PS6 with best performance reached 15.3 g/L l-proline in the shake flask and showed a titer of 38.4 g/L in a 5 L fermenter with relatively low concentration of residual l-ornithine and/or l-arginine.

Entities:  

Keywords:  Corynebacterium crenatum; directed evolution; l-proline; ornithine cyclodeaminase

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Year:  2020        PMID: 32551572     DOI: 10.1021/acssynbio.0c00198

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.110


  3 in total

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Authors:  Kaihang Wang; Lizhi Zhou; Tingting Chen; Qiong Li; Jiajia Li; Liqin Liu; Yuqian Li; Jie Sun; Tingting Li; Yingbin Wang; Zhibo Kong; Qingbing Zheng; Jun Zhang; Hai Yu; Ying Gu; Ningshao Xia; Shaowei Li
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  3 in total

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