Literature DB >> 28841296

Maltose Utilization as a Novel Selection Strategy for Continuous Evolution of Microbes with Enhanced Metabolite Production.

Shu-De Liu1, Yi-Nan Wu1, Tian-Min Wang1, Chong Zhang1, Xin-Hui Xing1.   

Abstract

We have developed a novel selection circuit based on carbon source utilization that establishes and sustains growth-production coupling over several generations in a medium with maltose as the sole carbon source. In contrast to traditional antibiotic resistance-based circuits, we first proved that coupling of cell fitness to metabolite production by our circuit was more robust with a much lower escape risk even after many rounds of selection. We then applied the selection circuit to the optimization of L-tryptophan (l-Trp) production. We demonstrated that it enriched for specific mutants with increased l-Trp productivity regardless of whether it was applied to a small and defined mutational library or a relatively large and undefined one. From the latter, we identified four novel mutations with enhanced l-Trp output. Finally, we used it to select for several high l-Trp producers with randomly generated genome-wide mutations and obtained strains with up to 65% increased l-Trp production. This selection circuit provides new perspectives for the optimization of microbial cell factories for diverse metabolite production and the discovery of novel genotype-phenotype associations at the single-gene and whole-genome levels.

Entities:  

Keywords:  adaptive laboratory evolution; biosensor; l-tryptophan biosynthesis; maltose utilization; pathway optimization

Mesh:

Substances:

Year:  2017        PMID: 28841296     DOI: 10.1021/acssynbio.7b00247

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


  9 in total

1.  In vivo biosensors: mechanisms, development, and applications.

Authors:  Shuobo Shi; Ee Lui Ang; Huimin Zhao
Journal:  J Ind Microbiol Biotechnol       Date:  2018-01-29       Impact factor: 3.346

2.  Enhancing n-Butanol Tolerance of Escherichia coli by Overexpressing of Stress-Responsive Molecular Chaperones.

Authors:  Guochao Xu; Lin Xiao; Anning Wu; Ruizhi Han; Ye Ni
Journal:  Appl Biochem Biotechnol       Date:  2020-09-15       Impact factor: 2.926

3.  Pooled CRISPR interference screening enables genome-scale functional genomics study in bacteria with superior performance.

Authors:  Tianmin Wang; Changge Guan; Jiahui Guo; Bing Liu; Yinan Wu; Zhen Xie; Chong Zhang; Xin-Hui Xing
Journal:  Nat Commun       Date:  2018-06-26       Impact factor: 14.919

4.  Establishment of BmoR-based biosensor to screen isobutanol overproducer.

Authors:  Huan Yu; Ning Wang; Wenbo Huo; Yuhong Zhang; Wei Zhang; Yu Yang; Zhenya Chen; Yi-Xin Huo
Journal:  Microb Cell Fact       Date:  2019-02-07       Impact factor: 5.328

5.  Developing E. coli-E. coli co-cultures to overcome barriers of heterologous tryptamine biosynthesis.

Authors:  Xiaonan Wang; Lizelle Policarpio; Dhara Prajapati; Zhenghong Li; Haoran Zhang
Journal:  Metab Eng Commun       Date:  2019-11-21

Review 6.  Effective use of biosensors for high-throughput library screening for metabolite production.

Authors:  Jennifer A Kaczmarek; Kristala L J Prather
Journal:  J Ind Microbiol Biotechnol       Date:  2021-12-23       Impact factor: 4.258

7.  An operator-based expression toolkit for Bacillus subtilis enables fine-tuning of gene expression and biosynthetic pathway regulation.

Authors:  Gang Fu; Jie Yue; Dandan Li; Yixin Li; Sang Yup Lee; Dawei Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2022-03-09       Impact factor: 12.779

Review 8.  Transcription Factor Engineering for High-Throughput Strain Evolution and Organic Acid Bioproduction: A Review.

Authors:  Jia-Wei Li; Xiao-Yan Zhang; Hui Wu; Yun-Peng Bai
Journal:  Front Bioeng Biotechnol       Date:  2020-02-19

Review 9.  Dynamic control in metabolic engineering: Theories, tools, and applications.

Authors:  Christopher J Hartline; Alexander C Schmitz; Yichao Han; Fuzhong Zhang
Journal:  Metab Eng       Date:  2020-09-11       Impact factor: 9.783

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.