Author
Listed:
- Kian-Kai Cheng
(Institute for Advanced Biosciences, Keio University
Systems Biology Program, Graduate School of Media and Governance, Keio University
Universiti Teknologi Malaysia)
- Baek-Seok Lee
(Institute for Advanced Biosciences, Keio University
Systems Biology Program, Graduate School of Media and Governance, Keio University
Present address: CJ Research Institute of Biotechnology, CJ Cheiljedang Corporation, Seoul 157-724, Korea)
- Takeshi Masuda
(Institute for Advanced Biosciences, Keio University
Systems Biology Program, Graduate School of Media and Governance, Keio University
Present address: Harvard Medical School, Harvard University, Boston, Massachusetts 02115, USA)
- Takuro Ito
(Institute for Advanced Biosciences, Keio University
Systems Biology Program, Graduate School of Media and Governance, Keio University
PRESTO, Japan Science and Technology Agency)
- Kazutaka Ikeda
(Institute for Advanced Biosciences, Keio University
Systems Biology Program, Graduate School of Media and Governance, Keio University)
- Akiyoshi Hirayama
(Institute for Advanced Biosciences, Keio University
Systems Biology Program, Graduate School of Media and Governance, Keio University)
- Lingli Deng
(Xiamen University)
- Jiyang Dong
(Xiamen University)
- Kazuyuki Shimizu
(Institute for Advanced Biosciences, Keio University
Systems Biology Program, Graduate School of Media and Governance, Keio University
Kyushu Institute of Technology)
- Tomoyoshi Soga
(Institute for Advanced Biosciences, Keio University
Systems Biology Program, Graduate School of Media and Governance, Keio University)
- Masaru Tomita
(Institute for Advanced Biosciences, Keio University
Systems Biology Program, Graduate School of Media and Governance, Keio University)
- Bernhard O. Palsson
(University of California, San Diego)
- Martin Robert
(Institute for Advanced Biosciences, Keio University
Systems Biology Program, Graduate School of Media and Governance, Keio University
Present address: Tohoku University, Sendai 980-8576, Japan)
Abstract
Comparative whole-genome sequencing enables the identification of specific mutations during adaptation of bacteria to new environments and allelic replacement can establish their causality. However, the mechanisms of action are hard to decipher and little has been achieved for epistatic mutations, especially at the metabolic level. Here we show that a strain of Escherichia coli carrying mutations in the rpoC and glpK genes, derived from adaptation in glycerol, uses two distinct metabolic strategies to gain growth advantage. A 27-bp deletion in the rpoC gene first increases metabolic efficiency. Then, a point mutation in the glpK gene promotes growth by improving glycerol utilization but results in increased carbon wasting as overflow metabolism. In a strain carrying both mutations, these contrasting carbon/energy saving and wasting mechanisms work together to give an 89% increase in growth rate. This study provides insight into metabolic reprogramming during adaptive laboratory evolution for fast cellular growth.
Suggested Citation
Kian-Kai Cheng & Baek-Seok Lee & Takeshi Masuda & Takuro Ito & Kazutaka Ikeda & Akiyoshi Hirayama & Lingli Deng & Jiyang Dong & Kazuyuki Shimizu & Tomoyoshi Soga & Masaru Tomita & Bernhard O. Palsson , 2014.
"Global metabolic network reorganization by adaptive mutations allows fast growth of Escherichia coli on glycerol,"
Nature Communications, Nature, vol. 5(1), pages 1-9, May.
Handle:
RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms4233
DOI: 10.1038/ncomms4233
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