Temperature responses of mutation rate and mutational spectrum in an Escherichia coli strain and the correlation with metabolic rate.

BMC Evol Biol

State Key Laboratory of Earth Surface Processes and Resource Ecology and MOE Key Laboratory for Biodiversity Science and Ecological Engineering, Beijing Normal University, Beijing, 100875, People's Republic of China.

Published: August 2018

AI Article Synopsis

  • Temperature significantly influences the mutation rate in Escherichia coli, particularly increasing it at higher temperatures (37 °C) without stress.
  • A mutation accumulation approach revealed that the types of mutations also change with temperature, showing more coding mutations versus noncoding as temperature rises.
  • The findings suggest a connection between metabolic rate and mutation rate, highlighting how temperature impacts evolutionary processes and biodiversity.

Article Abstract

Background: Temperature is a major determinant of spontaneous mutation, but the precise mode, and the underlying mechanisms, of the temperature influences remain less clear. Here we used a mutation accumulation approach combined with whole-genome sequencing to investigate the temperature dependence of spontaneous mutation in an Escherichia coli strain. Experiments were performed under aerobic conditions at 25, 28 and 37 °C, three temperatures that were non-stressful for the bacterium but caused significantly different bacterial growth rates.

Results: Mutation rate did not differ between 25 and 28 °C, but was higher at 37 °C. Detailed analyses of the molecular spectrum of mutations were performed; and a particularly interesting finding is that higher temperature led to a bias of mutation to coding, relative to noncoding, DNA. Furthermore, the temperature response of mutation rate was extremely similar to that of metabolic rate, consistent with an idea that metabolic rate predicts mutation rate.

Conclusions: Temperature affects mutation rate and the types of mutation supply, both being crucial for the opportunity of natural selection. Our results help understand how temperature drives evolutionary speed of organisms and thus the global patterns of biodiversity. This study also lend support to the metabolic theory of ecology for linking metabolic rate and molecular evolution rate.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6116381PMC
http://dx.doi.org/10.1186/s12862-018-1252-8DOI Listing

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