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Cited by 401

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Evolution of mutation rates in bacteria

Open access
Denamur, Erick, Matic, Ivan·2006·Molecular Microbiology

Abstract

Summary: Evolutionary success of bacteria relies on the constant fine‐tuning of their mutation rates, which optimizes their adaptability to constantly changing environmental conditions. When adaptation is limited by the mutation supply rate, under some conditions, natural selection favours increased mutation rates by acting on allelic variation of the genetic systems that control fidelity of DNA replication and repair. Mutator alleles are carried to high frequency through hitchhiking with the adaptive mutations they generate. However, when fitness gain no longer counterbalances the fitness loss due to continuous generation of deleterious mutations, natural selection favours reduction of mutation rates. Selection and counter‐selection of high mutation rates depends on many factors: the number of mutations required for adaptation, the strength of mutator alleles, bacterial population size, competition with other strains, migration, and spatial and temporal environmental heterogeneity. Such modulations of mutation rates may also play a role in the evolution of antibiotic resistance.

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Crossref · 10.1111/j.1365-2958.2006.05150.x

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Metadata

Authors
Denamur, E., & Matic, I.
Venue
Molecular Microbiology
Publisher
Wiley
Published
2006-04-21
Volume
60
Issue
4
Pages
820-827
ISSN
  • 0950-382X (ISSN-L)
  • 1365-2958
OpenAlex
W2102306849
Cited by
401
References
47
FWCI
7.78
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Evolution of mutation rates in bacteria. https://app.cochat.ai/papers/10.1111/j.1365-2958.2006.05150.x
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Denamur, E., & Matic, I. (2006). Evolution of mutation rates in bacteria. Molecular Microbiology. https://doi.org/10.1111/j.1365-2958.2006.05150.x

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.