Sigma Factor Modulation for Cyanobacterial Metabolic Engineering.


Journal

Trends in microbiology
ISSN: 1878-4380
Titre abrégé: Trends Microbiol
Pays: England
ID NLM: 9310916

Informations de publication

Date de publication:
03 2021
Historique:
received: 07 06 2020
revised: 25 10 2020
accepted: 26 10 2020
pubmed: 25 11 2020
medline: 21 8 2021
entrez: 24 11 2020
Statut: ppublish

Résumé

Sigma (σ) factors are key regulatory proteins that control the transcription initiation in prokaryotes. In response to environmental or developmental cues, σ factors initiate the transcription of necessary genes responsible for maintaining a life-sustaining metabolic balance. Due to the significant role of σ factors in bacterial metabolism, their rational engineering for commercial metabolite production in photoautotrophic, cyanobacterial cells is a desirable venture. As cyanobacterial genomes typically encode multiple σ factors, effective execution of metabolic engineering efforts largely relies on uncovering the complicated gene regulatory network and further characterization of the members of σ factor regulatory circuits. This review outlines the prospects of σ factor in metabolic engineering of cyanobacteria, summarizes the challenges in the path towards an efficient strain construction and highlights the genomic context of putative regulators of cyanobacterial σ factors.

Identifiants

pubmed: 33229204
pii: S0966-842X(20)30275-4
doi: 10.1016/j.tim.2020.10.012
pii:
doi:

Substances chimiques

Bacterial Proteins 0
Sigma Factor 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

266-277

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Amit Srivastava (A)

Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, USA.

Rajeev K Varshney (RK)

Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India.

Pratyoosh Shukla (P)

Enzyme Technology and Protein Bioinformatics Laboratory, Department of Microbiology, Maharshi Dayanand University, Rohtak-124001, Haryana, India. Electronic address: pratyoosh.shukla@gmail.com.

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Classifications MeSH