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

Hoang Long Pham, Adison Wong, Niying Chua, Wei Suong Teo, Wen Shan Yew and Matthew Wook Chang ()
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Hoang Long Pham: National University of Singapore
Adison Wong: National University of Singapore
Niying Chua: National University of Singapore
Wei Suong Teo: National University of Singapore
Wen Shan Yew: National University of Singapore
Matthew Wook Chang: National University of Singapore

Nature Communications, 2017, vol. 8, issue 1, 1-12

Abstract: 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.

Date: 2017
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DOI: 10.1038/s41467-017-00511-w

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