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Engineering a riboswitch-based genetic platform for the self-directed evolution of acid-tolerant phenotypes

Environmental pH is a fundamental signal continuously directing the metabolism and behavior of living cells. Programming the precise cellular response toward environmental pH is, therefore, crucial for engineering cells for increasingly sophisticated functions. Herein, we engineer a set of riboswitc...

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Autores principales: Pham, Hoang Long, Wong, Adison, Chua, Niying, Teo, Wei Suong, Yew, Wen Shan, Chang, Matthew Wook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5583362/
https://www.ncbi.nlm.nih.gov/pubmed/28871084
http://dx.doi.org/10.1038/s41467-017-00511-w
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author Pham, Hoang Long
Wong, Adison
Chua, Niying
Teo, Wei Suong
Yew, Wen Shan
Chang, Matthew Wook
author_facet Pham, Hoang Long
Wong, Adison
Chua, Niying
Teo, Wei Suong
Yew, Wen Shan
Chang, Matthew Wook
author_sort Pham, Hoang Long
collection PubMed
description Environmental pH is a fundamental signal continuously directing the metabolism and behavior of living cells. Programming the precise cellular response toward environmental pH is, therefore, crucial for engineering cells for increasingly sophisticated functions. Herein, we engineer a set of riboswitch-based pH-sensing genetic devices to enable the control of gene expression according to differential environmental pH. We next develop a digital pH-sensing system to utilize the analogue-sensing behavior of these devices for high-resolution recording of host cell exposure to discrete external pH levels. The application of this digital pH-sensing system is demonstrated in a genetic program that autonomously regulated the evolutionary engineering of host cells for improved tolerance to a broad spectrum of organic acids, a valuable phenotype for metabolic engineering and bioremediation applications.
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spelling pubmed-55833622017-09-07 Engineering a riboswitch-based genetic platform for the self-directed evolution of acid-tolerant phenotypes Pham, Hoang Long Wong, Adison Chua, Niying Teo, Wei Suong Yew, Wen Shan Chang, Matthew Wook Nat Commun Article Environmental pH is a fundamental signal continuously directing the metabolism and behavior of living cells. Programming the precise cellular response toward environmental pH is, therefore, crucial for engineering cells for increasingly sophisticated functions. Herein, we engineer a set of riboswitch-based pH-sensing genetic devices to enable the control of gene expression according to differential environmental pH. We next develop a digital pH-sensing system to utilize the analogue-sensing behavior of these devices for high-resolution recording of host cell exposure to discrete external pH levels. The application of this digital pH-sensing system is demonstrated in a genetic program that autonomously regulated the evolutionary engineering of host cells for improved tolerance to a broad spectrum of organic acids, a valuable phenotype for metabolic engineering and bioremediation applications. Nature Publishing Group UK 2017-09-04 /pmc/articles/PMC5583362/ /pubmed/28871084 http://dx.doi.org/10.1038/s41467-017-00511-w Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Pham, Hoang Long
Wong, Adison
Chua, Niying
Teo, Wei Suong
Yew, Wen Shan
Chang, Matthew Wook
Engineering a riboswitch-based genetic platform for the self-directed evolution of acid-tolerant phenotypes
title Engineering a riboswitch-based genetic platform for the self-directed evolution of acid-tolerant phenotypes
title_full Engineering a riboswitch-based genetic platform for the self-directed evolution of acid-tolerant phenotypes
title_fullStr Engineering a riboswitch-based genetic platform for the self-directed evolution of acid-tolerant phenotypes
title_full_unstemmed Engineering a riboswitch-based genetic platform for the self-directed evolution of acid-tolerant phenotypes
title_short Engineering a riboswitch-based genetic platform for the self-directed evolution of acid-tolerant phenotypes
title_sort engineering a riboswitch-based genetic platform for the self-directed evolution of acid-tolerant phenotypes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5583362/
https://www.ncbi.nlm.nih.gov/pubmed/28871084
http://dx.doi.org/10.1038/s41467-017-00511-w
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