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

• Published in: Nature communications Vol. 8; no. 1; pp. 411 - 12
• Main Authors: Pham, Hoang Long, Wong, Adison, Chua, Niying, Teo, Wei Suong, Yew, Wen Shan, Chang, Matthew Wook
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 04.09.2017; Nature Publishing Group; Nature Portfolio
• Subjects: 631/553/552; 631/61; Acids - pharmacology; Biological evolution; Directed evolution; Directed Molecular Evolution; Engineering; Escherichia coli - genetics; Gene expression; Genetic Engineering - methods; Genotype; Humanities and Social Sciences; Hydrogen ions; Hydrogen-Ion Concentration; Metabolism; multidisciplinary; Mutation - genetics; Organic acids; pH effects; Phenotype; Riboswitch - genetics; Riboswitches; Science; Science (multidisciplinary)
• ISSN: 2041-1723; 2041-1723
• DOI: 10.1038/s41467-017-00511-w

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. Cells are exposed to shifts in environmental pH, which direct their metabolism and behavior. Here the authors design pH-sensing riboswitches to create a gene expression program, digitalize the system to respond to a narrow pH range and apply it to evolve host cells with improved tolerance to a variety of organic acids.