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Transcription Factor Engineering for High-Throughput Strain Evolution and Organic Acid Bioproduction: A Review

Metabolic regulation of gene expression for the microbial production of fine chemicals, such as organic acids, is an important research topic in post-genomic metabolic engineering. In particular, the ability of transcription factors (TFs) to respond precisely in time and space to various small molec...

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Autores principales: Li, Jia-Wei, Zhang, Xiao-Yan, Wu, Hui, Bai, Yun-Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7042172/
https://www.ncbi.nlm.nih.gov/pubmed/32140463
http://dx.doi.org/10.3389/fbioe.2020.00098
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author Li, Jia-Wei
Zhang, Xiao-Yan
Wu, Hui
Bai, Yun-Peng
author_facet Li, Jia-Wei
Zhang, Xiao-Yan
Wu, Hui
Bai, Yun-Peng
author_sort Li, Jia-Wei
collection PubMed
description Metabolic regulation of gene expression for the microbial production of fine chemicals, such as organic acids, is an important research topic in post-genomic metabolic engineering. In particular, the ability of transcription factors (TFs) to respond precisely in time and space to various small molecules, signals and stimuli from the internal and external environment is essential for metabolic pathway engineering and strain development. As a key component, TFs are used to construct many biosensors in vivo using synthetic biology methods, which can be used to monitor the concentration of intracellular metabolites in organic acid production that would otherwise remain “invisible” within the intracellular environment. TF-based biosensors also provide a high-throughput screening method for rapid strain evolution. Furthermore, TFs are important global regulators that control the expression levels of key enzymes in organic acid biosynthesis pathways, therefore determining the outcome of metabolic networks. Here we review recent advances in TF identification, engineering, and applications for metabolic engineering, with an emphasis on metabolite monitoring and high-throughput strain evolution for the organic acid bioproduction.
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spelling pubmed-70421722020-03-05 Transcription Factor Engineering for High-Throughput Strain Evolution and Organic Acid Bioproduction: A Review Li, Jia-Wei Zhang, Xiao-Yan Wu, Hui Bai, Yun-Peng Front Bioeng Biotechnol Bioengineering and Biotechnology Metabolic regulation of gene expression for the microbial production of fine chemicals, such as organic acids, is an important research topic in post-genomic metabolic engineering. In particular, the ability of transcription factors (TFs) to respond precisely in time and space to various small molecules, signals and stimuli from the internal and external environment is essential for metabolic pathway engineering and strain development. As a key component, TFs are used to construct many biosensors in vivo using synthetic biology methods, which can be used to monitor the concentration of intracellular metabolites in organic acid production that would otherwise remain “invisible” within the intracellular environment. TF-based biosensors also provide a high-throughput screening method for rapid strain evolution. Furthermore, TFs are important global regulators that control the expression levels of key enzymes in organic acid biosynthesis pathways, therefore determining the outcome of metabolic networks. Here we review recent advances in TF identification, engineering, and applications for metabolic engineering, with an emphasis on metabolite monitoring and high-throughput strain evolution for the organic acid bioproduction. Frontiers Media S.A. 2020-02-19 /pmc/articles/PMC7042172/ /pubmed/32140463 http://dx.doi.org/10.3389/fbioe.2020.00098 Text en Copyright © 2020 Li, Zhang, Wu and Bai. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Li, Jia-Wei
Zhang, Xiao-Yan
Wu, Hui
Bai, Yun-Peng
Transcription Factor Engineering for High-Throughput Strain Evolution and Organic Acid Bioproduction: A Review
title Transcription Factor Engineering for High-Throughput Strain Evolution and Organic Acid Bioproduction: A Review
title_full Transcription Factor Engineering for High-Throughput Strain Evolution and Organic Acid Bioproduction: A Review
title_fullStr Transcription Factor Engineering for High-Throughput Strain Evolution and Organic Acid Bioproduction: A Review
title_full_unstemmed Transcription Factor Engineering for High-Throughput Strain Evolution and Organic Acid Bioproduction: A Review
title_short Transcription Factor Engineering for High-Throughput Strain Evolution and Organic Acid Bioproduction: A Review
title_sort transcription factor engineering for high-throughput strain evolution and organic acid bioproduction: a review
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7042172/
https://www.ncbi.nlm.nih.gov/pubmed/32140463
http://dx.doi.org/10.3389/fbioe.2020.00098
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