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Engineering transcription factor BmoR for screening butanol overproducers

Authors :
Huan Yu
Zhenya Chen
Shengzhu Yu
Yajun Yan
Ning Wang
Yi-Xin Huo
Source :
Metabolic Engineering. 56:28-38
Publication Year :
2019
Publisher :
Elsevier BV, 2019.

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.

Details

ISSN :
10967176
Volume :
56
Database :
OpenAIRE
Journal :
Metabolic Engineering
Accession number :
edsair.doi.dedup.....ce17dad390a46e677e1b716097029ac5