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Nat. Commun., Published online: 04 September 2017, 8, Article number: 411 | doi:10.1038/s41467-017-00511-w
Engineering a riboswitch-based genetic platform for the self-directed evolution of acid-tolerant phenotypes
Hoang Long Pham1,2, Adison Wong1,2,3, Niying Chua1,2, Wei Suong Teo1,2,4, Wen Shan Yew1,2 & Matthew Wook Chang1,2,*
1Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117596, Singapore. 2NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), Life Sciences Institute, National University of Singapore, Singapore 117456, Singapore. 3Present address: Singapore Institute of Technology, 10 Dover Drive, Singapore 138683, Singapore. 4Present address: School of Life Sciences and Chemical Technology, Ngee Ann Polytechnic, 535 Clementi Road, Singapore 599489, Singapore. Hoang Long Pham and Adison Wong contributed equally to this work.
1Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117596, Singapore. 2NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), Life Sciences Institute, National University of Singapore, Singapore 117456, Singapore. 3Present address: Singapore Institute of Technology, 10 Dover Drive, Singapore 138683, Singapore. 4Present address: School of Life Sciences and Chemical Technology, Ngee Ann Polytechnic, 535 Clementi Road, Singapore 599489, Singapore. Hoang Long Pham and Adison Wong contributed equally to this work.
*Correspondence to Matthew Wook Chang
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.
논문정보
- Research article
- 2017년 09월 (BRIC 등록일 2017-09-19)
- 국외 연구진
- 생명과학 > 생물공학
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