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Cited by 483

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Within-host evolution of bacterial pathogens

Open access
Didelot, Xavier, Walker, A. Sarah, Peto, Tim E., Crook, Derrick W., Wilson, Daniel J.·2016·Nature Reviews Microbiology

Abstract

Whole-genome sequencing has opened the way for investigating the dynamics and genomic evolution of bacterial pathogens during the colonization and infection of humans. The application of this technology to the longitudinal study of adaptation in an infected host — in particular, the evolution of drug resistance and host adaptation in patients who are chronically infected with opportunistic pathogens — has revealed remarkable patterns of convergent evolution, suggestive of an inherent repeatability of evolution. In this Review, we describe how these studies have advanced our understanding of the mechanisms and principles of within-host genome evolution, and we consider the consequences of findings such as a potent adaptive potential for pathogenicity. Finally, we discuss the possibility that genomics may be used in the future to predict the clinical progression of bacterial infections and to suggest the best option for treatment.

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Crossref · 10.1038/nrmicro.2015.13

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Metadata

Authors
Didelot, X., Walker, A. S., Peto, T. E., Crook, D. W., & Wilson, D. J.
Venue
Nature Reviews Microbiology
Published
2016-01-19
Volume
14
Issue
3
Pages
150-162
ISSN
  • 1740-1526 (ISSN-L)
  • 1740-1534
OpenAlex
W2273624252
Cited by
483
References
13
FWCI
6.70
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Within-host evolution of bacterial pathogens. https://app.cochat.ai/papers/10.1038/nrmicro.2015.13
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Didelot, X., Walker, A. S., Peto, T. E., Crook, D. W., & Wilson, D. J. (2016). Within-host evolution of bacterial pathogens. Nature Reviews Microbiology. https://doi.org/10.1038/nrmicro.2015.13

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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.