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Cited by 396

The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.

Ecology and evolution of antimicrobial resistance in bacterial communities

Open access
Bottery, Michael J, Pitchford, Jonathan W, Friman, Ville-Petri·2021·The ISME Journal

Abstract

Accumulating evidence suggests that the response of bacteria to antibiotics is significantly affected by the presence of other interacting microbes. These interactions are not typically accounted for when determining pathogen sensitivity to antibiotics. In this perspective, we argue that resistance and evolutionary responses to antibiotic treatments should not be considered only a trait of an individual bacteria species but also an emergent property of the microbial community in which pathogens are embedded. We outline how interspecies interactions can affect the responses of individual species and communities to antibiotic treatment, and how these responses could affect the strength of selection, potentially changing the trajectory of resistance evolution. Finally, we identify key areas of future research which will allow for a more complete understanding of antibiotic resistance in bacterial communities. We emphasise that acknowledging the ecological context, i.e. the interactions that occur between pathogens and within communities, could help the development of more efficient and effective antibiotic treatments.

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Metadata

Authors
Bottery, M. J., Pitchford, J. W., & Friman, V.-P.
Venue
The ISME Journal
Published
2020-11-20
Volume
15
Issue
4
Pages
939-948
ISSN
  • 1751-7362 (ISSN-L)
  • 1751-7370
OpenAlex
W3101158327
Cited by
396
References
87
FWCI
19.10
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Ecology and evolution of antimicrobial resistance in bacterial communities. https://app.cochat.ai/papers/10.1038/s41396-020-00832-7
The paper
Bottery, M. J., Pitchford, J. W., & Friman, V.-P. (2021). Ecology and evolution of antimicrobial resistance in bacterial communities. The ISME Journal. https://doi.org/10.1038/s41396-020-00832-7

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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.