Literature DB >> 30039311

Genome shuffling and high-throughput screening of Brevibacterium flavum MDV1 for enhanced L-valine production.

Qin-Geng Huang1, Bang-Ding Zeng1, Ling Liang1, Song-Gang Wu1, Jian-Zhong Huang2.   

Abstract

L-valine is an essential branched-amino acid that is widely used in multiple areas such as pharmaceuticals and special dietary products and its use is increasing. As the world market for L-valine grows rapidly, there is an increasing interest to develop an efficient L-valine-producing strain. In this study, a simple, sensitive, efficient, and consistent screening procedure termed 96 well plate-PC-HPLC (96-PH) was developed for the rapid identification of high-yield L-valine strains to replace the traditional L-valine assay. L-valine production by Brevibacterium flavum MDV1 was increased by genome shuffling. The starting strains were obtained using ultraviolet (UV) irradiation and binary ethylenimine treatment followed by preparation of protoplasts, UV irradiation inactivation, multi-cell fusion, and fusion of the inactivated protoplasts to produce positive colonies. After two rounds of genome shuffling and the 96-PH method, six L-valine high-yielding mutants were selected. One genetically stable mutant (MDVR2-21) showed an L-valine yield of 30.1 g/L during shake flask fermentation, 6.8-fold higher than that of MDV1. Under fed-batch conditions in a 30 L automated fermentor, MDVR2-21 accumulated 70.1 g/L of L-valine (0.598 mol L-valine per mole of glucose; 38.9% glucose conversion rate). During large-scale fermentation using a 120 m3 fermentor, this strain produced > 66.8 g/L L-valine (36.5% glucose conversion rate), reflecting a very productive and stable industrial enrichment fermentation effect. Genome shuffling is an efficient technique to improve production of L-valine by B. flavum MDV1. Screening using 96-PH is very economical, rapid, efficient, and well-suited for high-throughput screening.

Entities:  

Keywords:  Brevibacterium flavum; Fermentation; Genome shuffling; High-throughput screening; L-valine

Mesh:

Substances:

Year:  2018        PMID: 30039311     DOI: 10.1007/s11274-018-2502-z

Source DB:  PubMed          Journal:  World J Microbiol Biotechnol        ISSN: 0959-3993            Impact factor:   3.312


  34 in total

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4.  Genome shuffling of Aspergillus glaucus HGZ-2 for enhanced cellulase production.

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Journal:  Appl Biochem Biotechnol       Date:  2014-08-07       Impact factor: 2.926

5.  Pushing product formation to its limit: metabolic engineering of Corynebacterium glutamicum for L-leucine overproduction.

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6.  L-valine production with pyruvate dehydrogenase complex-deficient Corynebacterium glutamicum.

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7.  Metabolic engineering of Escherichia coli for the production of L-valine based on transcriptome analysis and in silico gene knockout simulation.

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Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-26       Impact factor: 11.205

8.  Genome shuffling improves degradation of the anthropogenic pesticide pentachlorophenol by Sphingobium chlorophenolicum ATCC 39723.

Authors:  MingHua Dai; Shelley D Copley
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9.  Biosensor-driven adaptive laboratory evolution of l-valine production in Corynebacterium glutamicum.

Authors:  Regina Mahr; Cornelia Gätgens; Jochem Gätgens; Tino Polen; Jörn Kalinowski; Julia Frunzke
Journal:  Metab Eng       Date:  2015-10-08       Impact factor: 9.783

10.  Genome shuffling of Clostridium acetobutylicum CICC 8012 for improved production of acetone-butanol-ethanol (ABE).

Authors:  Xiaofeng Gao; Hai Zhao; Guohua Zhang; Kaize He; Yanling Jin
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  2 in total

1.  Genome Shuffling of Bacillus velezensis for Enhanced Surfactin Production and Variation Analysis.

Authors:  Liang Chen; Xing-Yu Chong; Ying-Ying Zhang; Yang-Yong Lv; Yuan-Sen Hu
Journal:  Curr Microbiol       Date:  2019-11-12       Impact factor: 2.188

Review 2.  Engineering of microbial cells for L-valine production: challenges and opportunities.

Authors:  Hui Gao; Philibert Tuyishime; Xian Zhang; Taowei Yang; Meijuan Xu; Zhiming Rao
Journal:  Microb Cell Fact       Date:  2021-08-30       Impact factor: 5.328

  2 in total

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