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

Overview of attention for article published in BMC Ecology and Evolution, August 2018
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Title
Temperature responses of mutation rate and mutational spectrum in an Escherichia coli strain and the correlation with metabolic rate
Published in
BMC Ecology and Evolution, August 2018
DOI 10.1186/s12862-018-1252-8
Pubmed ID
Authors

Xiao-Lin Chu, Bo-Wen Zhang, Quan-Guo Zhang, Bi-Ru Zhu, Kui Lin, Da-Yong Zhang

Abstract

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. 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. 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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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 23%
Student > Ph. D. Student 9 15%
Researcher 7 12%
Student > Master 5 8%
Other 2 3%
Other 5 8%
Unknown 18 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 30%
Agricultural and Biological Sciences 12 20%
Environmental Science 4 7%
Engineering 2 3%
Immunology and Microbiology 2 3%
Other 4 7%
Unknown 18 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 August 2018.
All research outputs
#22,767,715
of 25,385,509 outputs
Outputs from BMC Ecology and Evolution
#3,511
of 3,714 outputs
Outputs of similar age
#301,590
of 344,555 outputs
Outputs of similar age from BMC Ecology and Evolution
#52
of 54 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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