Genetic Biosensor Design for Natural Product Biosynthesis in Microorganisms.


Journal

Trends in biotechnology
ISSN: 1879-3096
Titre abrégé: Trends Biotechnol
Pays: England
ID NLM: 8310903

Informations de publication

Date de publication:
07 2020
Historique:
received: 15 12 2019
revised: 26 03 2020
accepted: 26 03 2020
pubmed: 4 5 2020
medline: 16 7 2021
entrez: 4 5 2020
Statut: ppublish

Résumé

Low yield and low titer of natural products are common issues in natural product biosynthesis through microbial cell factories. One effective way to resolve such bottlenecks is to design genetic biosensors to monitor and regulate the biosynthesis of target natural products. In this review, we evaluate the most recent advances in the design of genetic biosensors for natural product biosynthesis in microorganisms. In particular, we examine strategies for selection of genetic parts and construction principles for the design and evaluation of genetic biosensors. We also review the latest applications of transcription factor- and riboswitch-based genetic biosensors in natural product biosynthesis. Lastly, we discuss challenges and solutions in designing genetic biosensors for the biosynthesis of natural products in microorganisms.

Identifiants

pubmed: 32359951
pii: S0167-7799(20)30088-3
doi: 10.1016/j.tibtech.2020.03.013
pii:
doi:

Substances chimiques

Aptamers, Nucleotide 0
Biological Products 0
Riboswitch 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

797-810

Informations de copyright

Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Auteurs

Gazi Sakir Hossain (GS)

Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore; NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), Centre for Life Sciences, National University of Singapore, Singapore 117456, Singapore; Wilmar-NUS Corporate Laboratory, National University of Singapore, Singapore 117599, Singapore.

Mukesh Saini (M)

Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore; NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), Centre for Life Sciences, National University of Singapore, Singapore 117456, Singapore; Wilmar-NUS Corporate Laboratory, National University of Singapore, Singapore 117599, Singapore.

Ryoma Miyake (R)

Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore; NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), Centre for Life Sciences, National University of Singapore, Singapore 117456, Singapore; Science & Innovation Center, Mitsubishi Chemical Corporation, Yokohama-shi, Kanagawa 227-8502, Japan.

Hua Ling (H)

Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore; NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), Centre for Life Sciences, National University of Singapore, Singapore 117456, Singapore; Wilmar-NUS Corporate Laboratory, National University of Singapore, Singapore 117599, Singapore.

Matthew Wook Chang (MW)

Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore; NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), Centre for Life Sciences, National University of Singapore, Singapore 117456, Singapore; Wilmar-NUS Corporate Laboratory, National University of Singapore, Singapore 117599, Singapore. Electronic address: bchcmw@nus.edu.sg.

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Classifications MeSH