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Cited by 367

The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.

Bacterial persistence promotes the evolution of antibiotic resistance by increasing survival and mutation rates

Open access
Windels, Etthel Martha, Michiels, Joran Elie, Fauvart, Maarten, Wenseleers, Tom, Van den Bergh, Bram, Michiels, Jan·2019·The ISME Journal

Abstract

Persisters are transiently antibiotic-tolerant cells that complicate the treatment of bacterial infections. Both theory and experiments have suggested that persisters facilitate genetic resistance by constituting an evolutionary reservoir of viable cells. Here, we provide evidence for a strong positive correlation between persistence and the likelihood to become genetically resistant in natural and lab strains of E. coli. This correlation can be partly attributed to the increased availability of viable cells associated with persistence. However, our data additionally show that persistence is pleiotropically linked with mutation rates. Our theoretical model further demonstrates that increased survival and mutation rates jointly affect the likelihood of evolving clinical resistance. Overall, these results suggest that the battle against antibiotic resistance will benefit from incorporating anti-persister therapies.

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Metadata

Authors
Windels, E. M., Michiels, J. E., Fauvart, M., Wenseleers, T., Van den Bergh, B., & Michiels, J.
Venue
The ISME Journal
Published
2019-01-15
Volume
13
Issue
5
Pages
1239-1251
ISSN
  • 1751-7362 (ISSN-L)
  • 1751-7370
OpenAlex
W2910584283
Cited by
367
References
81
FWCI
21.94
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Bacterial persistence promotes the evolution of antibiotic resistance by increasing survival and mutation rates. https://app.cochat.ai/papers/10.1038/s41396-019-0344-9
The paper
Windels, E. M., Michiels, J. E., Fauvart, M., Wenseleers, T., Van den Bergh, B., & Michiels, J. (2019). Bacterial persistence promotes the evolution of antibiotic resistance by increasing survival and mutation rates. The ISME Journal. https://doi.org/10.1038/s41396-019-0344-9

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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.