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 accessAbstract
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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Cites
Structure, function and diversity of the healthy human microbiome
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11234 · Cited by 11,726
Determination of minimum inhibitory concentrations
Andrews, J. M. (2001) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/48.suppl_1.5 · Cited by 4,129
Molecular mechanisms of antibiotic resistance
Blair, J. M. A., Webber, M. A., Baylay, A. J., Ogbolu, D. O., & Piddock, L. J. V. (2015) · Nature Reviews Microbiology · doi:10.1038/nrmicro3380 · Cited by 4,092
Antibiotic resistance of bacterial biofilms
Høiby, N., Bjarnsholt, T., Givskov, M., Molin, S., & Ciofu, O. (2010) · International Journal of Antimicrobial Agents · doi:10.1016/j.ijantimicag.2009.12.011 · Cited by 3,225
Lewis, K. (2010) · Annual Review of Microbiology · doi:10.1146/annurev.micro.112408.134306 · Cited by 1,858
Microbiological effects of sublethal levels of antibiotics
Andersson, D. I., & Hughes, D. (2014) · Nature Reviews Microbiology · doi:10.1038/nrmicro3270 · Cited by 1,757
Selection of Resistant Bacteria at Very Low Antibiotic Concentrations
Gullberg, E., Cao, S., Berg, O. G., Ilbäck, C., Sandegren, L., Hughes, D., & Andersson, D. I. (2011) · PLoS Pathogens · doi:10.1371/journal.ppat.1002158 · Cited by 1,654
Distinguishing between resistance, tolerance and persistence to antibiotic treatment
Brauner, A., Fridman, O., Gefen, O., & Balaban, N. Q. (2016) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2016.34 · Cited by 1,612
Antibiotic tolerance facilitates the evolution of resistance
Levin-Reisman, I., Ronin, I., Gefen, O., Braniss, I., Shoresh, N., & Balaban, N. Q. (2017) · Science · doi:10.1126/science.aaj2191 · Cited by 1,251
Spatial structure, cooperation and competition in biofilms
Nadell, C. D., Drescher, K., & Foster, K. R. (2016) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2016.84 · Cited by 1,000
Cited by
Mutalik, V. K., & Arkin, A. P. (2022) · iScience · doi:10.1016/j.isci.2022.104121 · Cited by 32
Metadata
- Authors
- Bottery, M. J., Pitchford, J. W., & Friman, V.-P.
- Venue
- The ISME Journal
- Publisher
- Oxford University Press (OUP)
- 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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- 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).
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