Genetic mutation in Escherichia coli genome during adaptation to the murine intestine is optimized for the host diet

Author:

Tsukimi Tomoya12ORCID,Obana Nozomu3ORCID,Shigemori Suguru3,Arakawa Kazuharu124ORCID,Miyauchi Eiji56,Yang Jiayue12ORCID,Song Isaiah12,Ashino Yujin1,Wakayama Masataka12,Soga Tomoyoshi124,Tomita Masaru124,Ohno Hiroshi5,Mori Hirotada78,Fukuda Shinji123910ORCID

Affiliation:

1. Institute for Advanced Biosciences, Keio University, Tsuruoka, Japan

2. Systems Biology Program, Graduate School of Media and Governance, Keio University, Fujisawa, Japan

3. Transborder Medical Research Center, Institute of Medicine, University of Tsukuba, Tsukuba, Japan

4. Faculty of Environment and Information Studies, Keio University, Fujisawa, Japan

5. RIKEN Center for Integrative Medical Sciences, Yokohama, Japan

6. Institute for Molecular and Cellular Regulation, Gunma University, Maebashi, Japan

7. Graduate School of Biological Science, Nara Institute of Science and Technology, Ikoma, Japan

8. Institute of Animal Sciences, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong, China

9. Gut Environmental Design Group, Kanagawa Institute of Industrial Science and Technology, Kawasaki, Japan

10. Laboratory for Regenerative Microbiology, Juntendo University Graduate School of Medicine, Tokyo, Japan

Abstract

ABSTRACT Mammalian gut microbes colonize the intestinal tract of their host and adapt to establish a microbial ecosystem. The host diet changes the nutrient profile of the intestine and has a high impact on microbiota composition. Genetic mutations in Escherichia coli , a prevalent species in the human gut, allow for adaptation to the mammalian intestine, as reported in previous studies. However, the extent of colonization fitness in the intestine elevated by genetic mutation and the effects of diet change on these mutations in E. coli are still poorly known. Here, we show that notable mutations in sugar metabolism-related genes ( gatC , araC , and malI ) were detected in the E. coli K-12 genome just 2 weeks after colonization in the germ-free mouse intestine. In addition to elevated fitness by deletion of gatC , as previously reported, deletion of araC and malI also elevated E. coli fitness in the murine intestine in a host diet-dependent manner. In vitro cultures of medium containing nutrients abundant in the intestine (e.g., galactose, N-acetylglucosamine, and asparagine) also showed increased E. coli fitness after deletion of the genes-of-interest associated with their metabolism. Furthermore, the host diet was found to influence the developmental trajectory of gene mutations in E. coli . Taken together, we suggest that genetic mutations in E. coli are selected in response to the intestinal environment, which facilitates efficient utilization of nutrients abundant in the intestine under laboratory conditions. Our study offers some insight into the possible adaptation mechanisms of gut microbes. IMPORTANCE The gut microbiota is closely associated with human health and is greatly impacted by the host diet. Bacteria such as Escherichia coli live in the gut all throughout the life of a human host and adapt to the intestinal environment. Adaptive mutations in E. coli are reported to enhance fitness in the mammalian intestine, but to what extent is still poorly known. It is also unknown whether the host diet affects what genes are mutated and to what extent fitness is affected. This study suggests that genetic mutations in the E. coli K-12 strain are selected in response to the intestinal environment and facilitate efficient utilization of abundant nutrients in the germ-free mouse intestine. Our study provides a better understanding of these intestinal adaptation mechanisms of gut microbes.

Funder

MEXT | Japan Society for the Promotion of Science

MEXT | Japan Science and Technology Agency

Japan Agency for Medical Research and Development

Food Science Institute Foundation

Yamagata Prefectural Government and the City of Tsuruoka

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

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