Literature DB >> 26141150

Metabolic engineering of Escherichia coli using CRISPR-Cas9 meditated genome editing.

Yifan Li1, Zhenquan Lin2, Can Huang3, Yan Zhang4, Zhiwen Wang5, Ya-Jie Tang6, Tao Chen7, Xueming Zhao8.   

Abstract

Engineering cellular metabolism for improved production of valuable chemicals requires extensive modulation of bacterial genome to explore complex genetic spaces. Here, we report the development of a CRISPR-Cas9 based method for iterative genome editing and metabolic engineering of Escherichia coli. This system enables us to introduce various types of genomic modifications with near 100% editing efficiency and to introduce three mutations simultaneously. We also found that cells with intact mismatch repair system had reduced chance to escape CRISPR mediated cleavage and yielded increased editing efficiency. To demonstrate its potential, we used our method to integrate the β-carotene synthetic pathway into the genome and to optimize the methylerythritol-phosphate (MEP) pathway and central metabolic pathways for β-carotene overproduction. We collectively tested 33 genomic modifications and constructed more than 100 genetic variants for combinatorially exploring the metabolic landscape. Our best producer contained15 targeted mutations and produced 2.0 g/L β-carotene in fed-batch fermentation.
Copyright © 2015 International Metabolic Engineering Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CRISPR/Cas9; Combinatorial metabolic engineering; Genome editing; β-Carotene

Mesh:

Substances:

Year:  2015        PMID: 26141150     DOI: 10.1016/j.ymben.2015.06.006

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


  83 in total

1.  Growth-coupled bioconversion of levulinic acid to butanone.

Authors:  Christopher R Mehrer; Jacqueline M Rand; Matthew R Incha; Taylor B Cook; Benginur Demir; Ali Hussain Motagamwala; Daniel Kim; James A Dumesic; Brian F Pfleger
Journal:  Metab Eng       Date:  2019-06-19       Impact factor: 9.783

Review 2.  Application of CRISPR/Cas System in the Metabolic Engineering of Small Molecules.

Authors:  Rajveer Singh; Shivani Chandel; Arijit Ghosh; Dhritiman Dey; Rudra Chakravarti; Syamal Roy; V Ravichandiran; Dipanjan Ghosh
Journal:  Mol Biotechnol       Date:  2021-03-27       Impact factor: 2.695

3.  Combinatorial expression of different β-carotene hydroxylases and ketolases in Escherichia coli for increased astaxanthin production.

Authors:  Yuanqing Wu; Panpan Yan; Xuewei Liu; Zhiwen Wang; Ya-Jie Tang; Tao Chen; Xueming Zhao
Journal:  J Ind Microbiol Biotechnol       Date:  2019-07-11       Impact factor: 3.346

Review 4.  Synthetic small regulatory RNAs in microbial metabolic engineering.

Authors:  Wen-Hai Xie; Hong-Kuan Deng; Jie Hou; Li-Juan Wang
Journal:  Appl Microbiol Biotechnol       Date:  2020-11-17       Impact factor: 4.813

Review 5.  Current and future prospects for CRISPR-based tools in bacteria.

Authors:  Michelle L Luo; Ryan T Leenay; Chase L Beisel
Journal:  Biotechnol Bioeng       Date:  2015-10-27       Impact factor: 4.530

Review 6.  Advancing biotechnology with CRISPR/Cas9: recent applications and patent landscape.

Authors:  Raphael Ferreira; Florian David; Jens Nielsen
Journal:  J Ind Microbiol Biotechnol       Date:  2018-01-24       Impact factor: 3.346

Review 7.  Recent advances in genetic engineering tools based on synthetic biology.

Authors:  Jun Ren; Jingyu Lee; Dokyun Na
Journal:  J Microbiol       Date:  2020-01-02       Impact factor: 3.422

8.  Anaerobic production of medium-chain fatty alcohols via a β-reduction pathway.

Authors:  Christopher R Mehrer; Matthew R Incha; Mark C Politz; Brian F Pfleger
Journal:  Metab Eng       Date:  2018-05-25       Impact factor: 9.783

Review 9.  Barriers to genome editing with CRISPR in bacteria.

Authors:  Justin M Vento; Nathan Crook; Chase L Beisel
Journal:  J Ind Microbiol Biotechnol       Date:  2019-06-05       Impact factor: 3.346

10.  Metabolism of the fast-growing bacterium Vibrio natriegens elucidated by 13C metabolic flux analysis.

Authors:  Christopher P Long; Jacqueline E Gonzalez; Robert M Cipolla; Maciek R Antoniewicz
Journal:  Metab Eng       Date:  2017-10-16       Impact factor: 9.783

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