Evidence map›Paper›PMID 30157765›Full record

ArticleBMC evolutionary biology2018

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

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

Abstract read
In one paragraph

Article in BMC evolutionary biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Integrating pH into the metabolic theory of ecology to predict bacterial diversity in soil.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Pooled it
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  6. Transition-Transversion Bias at theEcology and evolution · 2026
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  7. Evolution of the highest fidelity DNA replication systems.bioRxiv : the preprint server for biology · 2026
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  8. Suppressor analysis inFrontiers in microbiology · 2026
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  9. Review
  10. Article
  11. Article
  12. Article
  13. Distinct latitudinal patterns of molecular rates across vertebrates.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  14. Article
  15. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xiao-Lin ChuState 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.
Bo-Wen ZhangState 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.
Quan-Guo ZhangState 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. zhangqg@bnu.edu.cn.ORCID 0000-0001-7128-2664
Bi-Ru ZhuState 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.
Kui LinState 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.
Da-Yong ZhangState 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. zhangdy@bnu.edu.cn.

Funding

Ministry of Education of the People's Republic of China 2017EYT20 and 2017STUD19National Natural Science Foundation of China 31725006 and 31670376State Administration of Foreign Experts Affairs B13008
6 · The paper itself

Abstract

backgroundTemperature 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.

resultsMutation 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.

conclusionsTemperature 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.

Indexed as

Mutation RateTemperatureBase PairingEscherichia coliINDEL MutationMutationEvolutionary speed hypothesisMolecular evolutionMutation accumulationMutational spectrumMutation rateOxidative DNA damage

Identifiers

PMID30157765
PMCPMC6116381

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.