Literature DB >> 30172686

Synthetic methanol auxotrophy of Escherichia coli for methanol-dependent growth and production.

Chang-Ting Chen1, Frederic Y-H Chen2, Igor W Bogorad3, Tung-Yun Wu4, Ruoxi Zhang5, Abraxa S Lee6, James C Liao7.   

Abstract

Methanol is a potentially attractive substrate for bioproduction of chemicals because of the abundance of natural gas and biogas-derived methane. To move towards utilizing methanol as a sole carbon source, here we engineer an Escherichia coli strain to couple methanol utilization with growth on five-carbon (C5) sugars. By deleting essential genes in the pentose phosphate pathway for pentose utilization and expressing heterologous enzymes from the ribulose-monophosphate (RuMP) pathway, we constructed a strain that cannot grow on xylose or ribose minimal media unless methanol is utilized, creating a phenotype termed "synthetic methanol auxotrophy". Our best strains were able to utilize methanol for growth at a rate of 0.17 ± 0.006 (h-1) with methanol and xylose co-assimilation at a molar ratio of approximately 1:1. Genome sequencing and reversion of mutations indicated that mutations on genes encoding for adenylate cyclase (cyaA) and the formaldehyde detoxification operon (frmRAB) were necessary for the growth phenotype. The methanol auxotrophic strain was further engineered to produce ethanol or 1-butanol to final titers of 4.6 g/L and 2.0 g/L, respectively. 13C tracing showed that 43% and 71% of ethanol and 1-butanol produced had labeled carbon derived from methanol, respectively.
Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  1-butanol; Biofuel; C1 metabolism; Escherichia coli; Ethanol; Metabolic engineering; Methanol; Synthetic biology

Mesh:

Substances:

Year:  2018        PMID: 30172686     DOI: 10.1016/j.ymben.2018.08.010

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


  15 in total

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Authors:  Jie Ren Gerald Har; Alec Agee; R Kyle Bennett; Eleftherios T Papoutsakis; Maciek R Antoniewicz
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Review 2.  Metabolic engineering strategies to enable microbial utilization of C1 feedstocks.

Authors:  Wei Jiang; David Hernández Villamor; Huadong Peng; Jian Chen; Long Liu; Victoria Haritos; Rodrigo Ledesma-Amaro
Journal:  Nat Chem Biol       Date:  2021-07-26       Impact factor: 15.040

3.  Developing Synthetic Methylotrophs by Metabolic Engineering-Guided Adaptive Laboratory Evolution.

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Journal:  Adv Biochem Eng Biotechnol       Date:  2022       Impact factor: 2.635

Review 4.  Toward Methanol-Based Biomanufacturing: Emerging Strategies for Engineering Synthetic Methylotrophy in Saccharomyces cerevisiae.

Authors:  Philip A Kelso; Louise K M Chow; Alex C Carpenter; Ian T Paulsen; Thomas C Williams
Journal:  ACS Synth Biol       Date:  2022-07-17       Impact factor: 5.249

5.  Methanol biotransformation toward high-level production of fatty acid derivatives by engineering the industrial yeast Pichia pastoris.

Authors:  Peng Cai; Xiaoyan Wu; Jun Deng; Linhui Gao; Yiwei Shen; Lun Yao; Yongjin J Zhou
Journal:  Proc Natl Acad Sci U S A       Date:  2022-07-11       Impact factor: 12.779

Review 6.  Synthetic methylotrophic yeasts for the sustainable fuel and chemical production.

Authors:  Vanessa Wegat; Jonathan T Fabarius; Volker Sieber
Journal:  Biotechnol Biofuels Bioprod       Date:  2022-10-22

7.  Methanol-Essential Growth of Corynebacterium glutamicum: Adaptive Laboratory Evolution Overcomes Limitation due to Methanethiol Assimilation Pathway.

Authors:  Guido Hennig; Carsten Haupka; Luciana F Brito; Christian Rückert; Edern Cahoreau; Stéphanie Heux; Volker F Wendisch
Journal:  Int J Mol Sci       Date:  2020-05-20       Impact factor: 5.923

8.  Adaptive laboratory evolution enhances methanol tolerance and conversion in engineered Corynebacterium glutamicum.

Authors:  Yu Wang; Liwen Fan; Philibert Tuyishime; Jiao Liu; Kun Zhang; Ning Gao; Zhihui Zhang; Xiaomeng Ni; Jinhui Feng; Qianqian Yuan; Hongwu Ma; Ping Zheng; Jibin Sun; Yanhe Ma
Journal:  Commun Biol       Date:  2020-05-07

9.  Improving the Methanol Tolerance of an Escherichia coli Methylotroph via Adaptive Laboratory Evolution Enhances Synthetic Methanol Utilization.

Authors:  R Kyle Bennett; Gwendolyn J Gregory; Jacqueline E Gonzalez; Jie Ren Gerald Har; Maciek R Antoniewicz; Eleftherios T Papoutsakis
Journal:  Front Microbiol       Date:  2021-02-11       Impact factor: 5.640

10.  Rewiring the microbial metabolic network for efficient utilization of mixed carbon sources.

Authors:  Ning An; Xin Chen; Huakang Sheng; Jia Wang; Xinxiao Sun; Yajun Yan; Xiaolin Shen; Qipeng Yuan
Journal:  J Ind Microbiol Biotechnol       Date:  2021-12-23       Impact factor: 4.258

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