Evolution engineering of methylotrophic E. coli enables faster growth than native methylotrophs
Liang-Yu NiehiD, Frederic Y.-H. CheniD, Hsin-Wei Jung, Kuan‐Yu SuiD, Chao-Yin Tsuei, Chun-Ting LiniD, Yue-Qi LeeiD, James C. LiaoiD
Abstract
As methanol can be derived from either CO2 or methane, methanol economy may play a role in combating climate change. In this scenario, rapid utilization of methanol by an industrial microorganism is the first and crucial step for efficient utilization of the C1 feedstock chemical. Here, we report the development of a methylotrophic E. coli strain (SM6) with a doubling time of 3.5 hours, outpacing that of common native methylotrophs. We accomplish this using evolution engineering with dynamic copy number variation (CNV). We developed a bacterial artificial chromosome (BAC) with dynamic CNV to facilitate overcoming the formaldehyde-induced DNA-protein cross-linking (DPC) problem in the evolution process. The growth rate of the organism in methanol minimal medium improved significantly after it acquired a loss-of-function mutation in mutS. We tracked the genome variations of 72 cultures along the evolution process by next-generation sequencing, and identified the metabolic features of the fast-growing strain. This study illustrates the potential of dynamic CNV as an evolution tool and synthetic methylotrophs as a platform for sustainable biotechnological applications.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 2
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Seven mutations unlock strict synthetic methylotrophy in engineered Pseudomonas putida
Òscar Puiggené, Martina Fricano, … Pablo I. Nikel·bioRxiv·Jul 22, 2026
- Combining evolution and machine learning-guided pathway optimization to engineer a novel methylsuccinate module for synthetic C1 metabolism in vivo
Helena Schulz-Mirbach, Vittorio Rainaldi, … Tobias J. Erb·bioRxiv·Jan 20, 2026
- Expression of soluble methane monooxygenase in Escherichia coli enables methane conversion
R. K. Bennett, N. Dzvova, … E. T. Papoutsakis·bioRxiv·Aug 5, 2021
- Mixing and matching methylotrophic enzymes to design a novel methanol utilization pathway in E. coli
Alessandro De Simone, Cláudia M. Vicente, … Stéphanie Heux·Metabolic EngineeringPeer-reviewed·Sep 1, 2020
- Autotrophic growth of E. coli is achieved by a small number of genetic changes
Roee Ben-Nissan, Eliya Milshtein, … Ron Milo·bioRxiv·Jun 3, 2023
- Development of autotrophy in Escherichia coli through adaptive laboratory evolution
Shao‐Yu Huang, Jian-Hau Peng, … C. W. Huang·bioRxiv·Feb 25, 2026