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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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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. |
format | Online Article Text |
id | pubmed-5583362 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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