Please use this identifier to cite or link to this item: https://doi.org/10.1038/s41467-017-00511-w
Title: Engineering a riboswitch-based genetic platform for the self-directed evolution of acid-Tolerant phenotypes
Authors: Pham, H.L 
Wong, A
Chua, N 
Teo, W.S 
Yew, W.S 
Chang, M.W 
Keywords: acid
carboxylic acid
acid
bioremediation
cells and cell components
gene expression
genetic analysis
genetic engineering
metabolism
pH
phenotype
acid tolerance
Article
bioremediation
biosensor
biotechnology
controlled study
directed molecular evolution
gene expression
genetic algorithm
genetic engineering
host cell
metabolic engineering
nonhuman
nucleotide sequence
pH
phenotype
quorum sensing
recording
riboswitch
self directed evolution
wild type
Escherichia coli
genetic engineering
genetics
genotype
mutation
procedures
riboswitch
Acids
Directed Molecular Evolution
Escherichia coli
Genetic Engineering
Genotype
Hydrogen-Ion Concentration
Mutation
Phenotype
Riboswitch
Issue Date: 2017
Publisher: Nature Publishing Group
Citation: Pham, H.L, Wong, A, Chua, N, Teo, W.S, Yew, W.S, Chang, M.W (2017). Engineering a riboswitch-based genetic platform for the self-directed evolution of acid-Tolerant phenotypes. Nature Communications 8 (1) : 411. ScholarBank@NUS Repository. https://doi.org/10.1038/s41467-017-00511-w
Abstract: 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. © 2017 The Author(s).
Source Title: Nature Communications
URI: https://scholarbank.nus.edu.sg/handle/10635/174402
ISSN: 2041-1723
DOI: 10.1038/s41467-017-00511-w
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