Rates of Mutations and Transcript Errors in the Foodborne PathogenSalmonella entericasubsp.enterica

Author:

Pan Jiao12,Li Weiyi3,Ni Jiahao1,Wu Kun1,Konigsberg Iain4,Rivera Caitlyn E.3,Tincher Clayton3,Gregory Colin3,Zhou Xia1,Doak Thomas G.35,Lee Heewook6,Wang Yan1,Gao Xiang7,Lynch Michael8,Long Hongan12

Affiliation:

1. Institute of Evolution and Marine Biodiversity, KLMME, Ocean University of China, 5 Yushan Road, Qingdao, Shandong Province 266003, China

2. Laboratory for Marine Biology and Biotechnology, Qingdao Pilot National Laboratory for Marine Science and Technology, Qingdao 266237, China

3. Department of Biology, Indiana University, Bloomington, IN 47405, USA

4. Division of Biomedical Informatics & Personalized Medicine, Department of Medicine, University of Colorado, Aurora, CO 80045, USA

5. National Center for Genome Analysis Support, Indiana University, Bloomington, IN 47405, USA

6. School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ 85281, USA

7. State Key Laboratory of Microbial Technology, Microbial Technology Institute, School of Life Science, Shandong University, No. 72 Binhai Road, Qingdao, Shandong Province 266237, China

8. Biodesign Center for Mechanisms of Evolution, Arizona State University, Tempe, AZ 85281, USA

Abstract

AbstractBecause errors at the DNA level power pathogen evolution, a systematic understanding of the rate and molecular spectra of mutations could guide the avoidance and treatment of infectious diseases. We thus accumulated tens of thousands of spontaneous mutations in 768 repeatedly bottlenecked lineages of 18 strains from various geographical sites, temporal spread, and genetic backgrounds. Entailing over ∼1.36 million generations, the resultant data yield an average mutation rate of ∼0.0005 per genome per generation, with a significant within-species variation. This is one of the lowest bacterial mutation rates reported, giving direct support for a high genome stability in this pathogen resulting from high DNA-mismatch-repair efficiency and replication-machinery fidelity. Pathogenicity genes do not exhibit an accelerated mutation rate, and thus, elevated mutation rates may not be the major determinant for the diversification of toxin and secretion systems. Intriguingly, a low error rate at the transcript level is not observed, suggesting distinct fidelity of the replication and transcription machinery. This study urges more attention on the most basic evolutionary processes of even the best-known human pathogens and deepens the understanding of their genome evolution.

Publisher

Oxford University Press (OUP)

Subject

Genetics,Molecular Biology,Ecology, Evolution, Behavior and Systematics

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