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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 |
Appears in Collections: | Elements Staff Publications |
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