Literature DB >> 21785983

Improvement of L-arginine production by overexpression of a bifunctional ornithine acetyltransferase in Corynebacterium crenatum.

Wenfang Dou1, Meijuan Xu, Dongmei Cai, Xiaomei Zhang, Zhiming Rao, Zhenghong Xu.   

Abstract

Ornithine acetyltransferase (EC 2.3.1.35; OATase) gene (argJ) from the L-arginine-producing mutant Corynebacterium crenatum SYPA5-5 was cloned, sequenced, and expressed in Escherichia coli BL21 (DE3). Analysis of the argJ sequence revealed that the argJ coded a polypeptide of 388 amino acids with a calculated molecular weight of 39.7 kDa. In this study, the function of the OATase (argJ) of C. crenatum SYPA5-5 has been identified as a conserved ATML sequence for the autolysis of the protein to α- and β-subunits. When the argJ regions corresponding to the α- and β-subunits were cloned and expressed separately in E. coli BL21, OATase activities were abolished. At the same time, a functional study revealed that OATase from C. crenatum SYPA5-5 was a bifunctional enzyme with the functions of acetylglutamate synthase (EC 2.3.1.1, NAGS) and acetylornithine deacetylase (EC 3.5.1.16, AOase) activities. In order to investigate the effects of the overexpression of the argJ gene on L: -arginine production, the argJ gene was inserted into pJCtac to yield the recombinant shuttle plasmid pJCtac-argJ and then transformed into C. crenatum SYPA5-5. The results showed that the engineered strains could not only express more OATase (90.9%) but also increase the production of L: -arginine significantly (16.8%).

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Year:  2011        PMID: 21785983     DOI: 10.1007/s12010-011-9302-3

Source DB:  PubMed          Journal:  Appl Biochem Biotechnol        ISSN: 0273-2289            Impact factor:   2.926


  8 in total

1.  Controlling the transcription levels of argGH redistributed L-arginine metabolic flux in N-acetylglutamate kinase and ArgR-deregulated Corynebacterium crenatum.

Authors:  Qinqin Zhao; Yuchang Luo; Wenfang Dou; Xian Zhang; Xiaomei Zhang; Weiwei Zhang; Meijuan Xu; Yan Geng; Zhiming Rao; Zhenghong Xu
Journal:  J Ind Microbiol Biotechnol       Date:  2015-11-02       Impact factor: 3.346

2.  Improvement of l-arginine production by in silico genome-scale metabolic network model guided genetic engineering.

Authors:  Mingzhu Huang; Yue Zhao; Rong Li; Weihua Huang; Xuelan Chen
Journal:  3 Biotech       Date:  2020-02-19       Impact factor: 2.406

3.  Metabolic engineering of microorganisms for the production of L-arginine and its derivatives.

Authors:  Jae Ho Shin; Sang Yup Lee
Journal:  Microb Cell Fact       Date:  2014-12-03       Impact factor: 5.328

4.  Comparative analysis of Corynebacterium glutamicum genomes: a new perspective for the industrial production of amino acids.

Authors:  Junjie Yang; Sheng Yang
Journal:  BMC Genomics       Date:  2017-01-25       Impact factor: 3.969

5.  Biological conversion of methane to putrescine using genome-scale model-guided metabolic engineering of a methanotrophic bacterium Methylomicrobium alcaliphilum 20Z.

Authors:  Linh Thanh Nguyen; Eun Yeol Lee
Journal:  Biotechnol Biofuels       Date:  2019-06-15       Impact factor: 6.040

6.  Effects of the microbial community on the formation of volatile compounds and biogenic amines during the traditional brewing of Hongqu rice wine.

Authors:  Gui-Mei Chen; Wen-Long Li; Shan-Gong Tong; Yun-Tao Qiu; Jin-Zhi Han; Xu-Cong Lv; Lian-Zhong Ai; Jin-Yuan Sun; Bao-Guo Sun; Li Ni
Journal:  Curr Res Food Sci       Date:  2022-09-06

7.  Effect of Tween 40 and DtsR1 on L-arginine overproduction in Corynebacterium crenatum.

Authors:  Minliang Chen; Xuelan Chen; Fang Wan; Bin Zhang; Jincong Chen; Yonghua Xiong
Journal:  Microb Cell Fact       Date:  2015-08-12       Impact factor: 5.328

8.  Convergent and distinctive functions of transcription factors VdYap1, VdAtf1, and VdSkn7 in the regulation of nitrosative stress resistance, microsclerotia formation, and virulence in Verticillium dahliae.

Authors:  Chen Tang; Xianjiang Jin; Steven J Klosterman; Yonglin Wang
Journal:  Mol Plant Pathol       Date:  2020-09-20       Impact factor: 5.663

  8 in total

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