Literature DB >> 31449878

Engineering transcription factor BmoR for screening butanol overproducers.

Huan Yu1, Zhenya Chen1, Ning Wang2, Shengzhu Yu1, Yajun Yan3, Yi-Xin Huo4.   

Abstract

The wild-type transcription factors are sensitive to their corresponding signal molecules. Using wild-type transcription factors as biosensors to screen industrial overproducers are generally impractical because of their narrow detection ranges. This study took transcription factor BmoR as an example and aimed to expand the detection range of BmoR for screening alcohols overproducers. Firstly, a BmoR mutation library was established, and the mutations distributed randomly in all predicted functional domains of BmoR. Structure of BmoR-isobutanol complex were modelled, and isobutanol binding sites were confirmed by site-directed mutagenesis. Subsequently, the effects of the mutations on the detection range or output were confirmed in the BmoR mutants. Four combinatorial mutants containing one increased-detection-range mutation and one enhanced-output mutation were constructed. Compared with wild-type BmoR, F276A/E627N BmoR and D333N/E627N BmoR have wider detection ranges (0-100 mM) and relatively high outputs to the isobutanol added quantitatively or produced intracellularly, demonstrating they have potential for screening isobutanol overproduction strains. This work presented an example of engineering the wild-type transcription factors with physiological significance for industrial utilization.
Copyright © 2019 International Metabolic Engineering Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  BmoR; Detection range; Industrial significance; Protein engineering; Screening; Transcription factor

Mesh:

Substances:

Year:  2019        PMID: 31449878     DOI: 10.1016/j.ymben.2019.08.015

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


  9 in total

1.  Cheating the Cheater: Suppressing False-Positive Enrichment during Biosensor-Guided Biocatalyst Engineering.

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Review 2.  Protein engineering for natural product biosynthesis and synthetic biology applications.

Authors:  Miles A Calzini; Alexandra A Malico; Melissa M Mitchler; Gavin J Williams
Journal:  Protein Eng Des Sel       Date:  2021-02-15       Impact factor: 1.952

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4.  Developing a highly efficient hydroxytyrosol whole-cell catalyst by de-bottlenecking rate-limiting steps.

Authors:  Jun Yao; Yang He; Nannan Su; Sakshibeedu R Bharath; Yong Tao; Jian-Ming Jin; Wei Chen; Haiwei Song; Shuang-Yan Tang
Journal:  Nat Commun       Date:  2020-03-23       Impact factor: 14.919

5.  Engineered l-Lactate Responding Promoter System Operating in Glucose-Rich and Anoxic Environments.

Authors:  Ana Zúñiga; Miguel Camacho; Hung-Ju Chang; Elsa Fristot; Pauline Mayonove; El-Habib Hani; Jerome Bonnet
Journal:  ACS Synth Biol       Date:  2021-12-01       Impact factor: 5.110

6.  Elucidation of Sequence-Function Relationships for an Improved Biobutanol In Vivo Biosensor in E. coli.

Authors:  Nancy M Kim; Riley W Sinnott; Lily N Rothschild; Nicholas R Sandoval
Journal:  Front Bioeng Biotechnol       Date:  2022-02-21

7.  Development and characterization of a glycine biosensor system for fine-tuned metabolic regulation in Escherichia coli.

Authors:  Kun-Qiang Hong; Jing Zhang; Biao Jin; Tao Chen; Zhi-Wen Wang
Journal:  Microb Cell Fact       Date:  2022-04-07       Impact factor: 5.328

8.  Enhancing biofuels production by engineering the actin cytoskeleton in Saccharomyces cerevisiae.

Authors:  Hui Liu; Pei Zhou; Mengya Qi; Liang Guo; Cong Gao; Guipeng Hu; Wei Song; Jing Wu; Xiulai Chen; Jian Chen; Wei Chen; Liming Liu
Journal:  Nat Commun       Date:  2022-04-07       Impact factor: 17.694

Review 9.  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
  9 in total

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