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Engineering transcription factor BmoR for screening butanol overproducers
- 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.
- Subjects :
- 0106 biological sciences
Butanols
Mutant
Mutation, Missense
Mutagenesis (molecular biology technique)
Bioengineering
Computational biology
medicine.disease_cause
01 natural sciences
Applied Microbiology and Biotechnology
03 medical and health sciences
chemistry.chemical_compound
Bacterial Proteins
010608 biotechnology
medicine
Binding site
Overproduction
Transcription factor
030304 developmental biology
0303 health sciences
Mutation
Binding Sites
Isobutanol
Protein engineering
Amino Acid Substitution
chemistry
Mutagenesis, Site-Directed
Transcription Factors
Biotechnology
Subjects
Details
- ISSN :
- 10967176
- Volume :
- 56
- Database :
- OpenAIRE
- Journal :
- Metabolic Engineering
- Accession number :
- edsair.doi.dedup.....ce17dad390a46e677e1b716097029ac5