The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
The genetic basis of the fitness costs of antimicrobial resistance: a meta‐analysis approach
Open accessAbstract
The evolution of antibiotic resistance carries a fitness cost, expressed in terms of reduced competitive ability in the absence of antibiotics. This cost plays a key role in the dynamics of resistance by generating selection against resistance when bacteria encounter an antibiotic‐free environment. Previous work has shown that the cost of resistance is highly variable, but the underlying causes remain poorly understood. Here, we use a meta‐analysis of the published resistance literature to determine how the genetic basis of resistance influences its cost. We find that on average chromosomal resistance mutations carry a larger cost than acquiring resistance via a plasmid. This may explain why resistance often evolves by plasmid acquisition. Second, we find that the cost of plasmid acquisition increases with the breadth of its resistance range. This suggests a potentially important limit on the evolution of extensive multidrug resistance via plasmids. We also find that epistasis can significantly alter the cost of mutational resistance. Overall, our study shows that the cost of antimicrobial resistance can be partially explained by its genetic basis. It also highlights both the danger associated with plasmidborne resistance and the need to understand why resistance plasmids carry a relatively low cost.
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Cites
The meta-analysis of response ratios in experimental ecology
Hedges, L. V., Gurevitch, J., & Curtis, P. S. (1999) · Ecology · doi:10.1890/0012-9658(1999)080[1150:tmaorr]2.0.co;2 · Cited by 4,704 · cited 5×
“…for weighting studies do exist, given the small sample size of most studies reporting fitness costs (mean of 10 isolates, median of four, mode of one isolate), these methods would not result in accurate weightings (generally n = 5 is required for most weighting procedures) (Hedges et al. 1999).”
BackgroundMethodInfluentialAntibacterial resistance worldwide: causes, challenges and responses
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Molecular Mechanisms of Antibacterial Multidrug Resistance
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Multiple Mechanisms of Antimicrobial Resistance in Pseudomonas aeruginosa: Our Worst Nightmare?
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Darwinian Evolution Can Follow Only Very Few Mutational Paths to Fitter Proteins
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STATISTICAL ISSUES IN ECOLOGICAL META-ANALYSES
Gurevitch, J., & Hedges, L. V. (1999) · Ecology · doi:10.1890/0012-9658(1999)080[1142:siiema]2.0.co;2 · Cited by 1,081
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Mechanisms of Multidrug Resistance in Acinetobacter Species and Pseudomonas aeruginosa
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Cited by
Antimicrobial Resistance in ESKAPE Pathogens
De Oliveira, D. M. P., Forde, B. M., Kidd, T. J., Harris, P. N. A., Schembri, M. A., Beatson, S. A., Paterson, D. L., & Walker, M. J. (2020) · Clinical Microbiology Reviews · doi:10.1128/cmr.00181-19 · Cited by 2,078
Global monitoring of antimicrobial resistance based on metagenomics analyses of urban sewage
Hendriksen, R. S., Munk, P., Njage, P., van Bunnik, B., McNally, L., Lukjancenko, O., Röder, T., Nieuwenhuijse, D., Pedersen, S. K., Kjeldgaard, J., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-08853-3 · Cited by 1,199
Environmental factors influencing the development and spread of antibiotic resistance
Bengtsson-Palme, J., Kristiansson, E., & Larsson, D. G. J. (2018) · FEMS Microbiology Reviews · doi:10.1093/femsre/fux053 · Cited by 1,167
O'Dea, R. E., Lagisz, M., Jennions, M. D., Koricheva, J., Noble, D. W. A., Parker, T. H., Gurevitch, J., Page, M. J., Stewart, G., Moher, D., et al. (2021) · Biological Reviews · doi:10.1111/brv.12721 · Cited by 697
Amarasiri, M., Sano, D., & Suzuki, S. (2020) · Critical Reviews in Environmental Science and Technology · doi:10.1080/10643389.2019.1692611 · Cited by 655
Metadata
- Authors
- Vogwill, T., & MacLean, R. C.
- Venue
- Evolutionary Applications
- Publisher
- Wiley
- Published
- 2014-12-12
- Volume
- 8
- Issue
- 3
- Pages
- 284-295
- ISSN
- 1752-4563 (ISSN-L)
- 1752-4571
- OpenAlex
- W2067136681
- Cited by
- 443
- References
- 70
- FWCI
- 9.51
- Type
- journal article
- Language
- en
- Open access
- gold
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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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