journal article Open Access Aug 27, 2014

The fitness costs of antibiotic resistance mutations

Evolutionary Applications Vol. 8 No. 3 pp. 273-283 · Wiley
View at Publisher Save 10.1111/eva.12196
Abstract
AbstractAntibiotic resistance is increasing in pathogenic microbial populations and is thus a major threat to public health. The fate of a resistance mutation in pathogen populations is determined in part by its fitness. Mutations that suffer little or no fitness cost are more likely to persist in the absence of antibiotic treatment. In this review, we performed a meta‐analysis to investigate the fitness costs associated with single mutational events that confer resistance. Generally, these mutations were costly, although several drug classes and species of bacteria on average did not show a cost. Further investigations into the rate and fitness values of compensatory mutations that alleviate the costs of resistance will help us to better understand both the emergence and management of antibiotic resistance in clinical settings.
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References
73
[3]
Antibiotic resistance and its cost: is it possible to reverse resistance?

Dan I. Andersson, Diarmaid Hughes

Nature Reviews Microbiology 10.1038/nrmicro2319
[17]
Conly J. "Antimicrobial resistance in Canada" Canadian Medical Association Journal (2002)
[19]
Origins and Evolution of Antibiotic Resistance

Julian Davies, Dorothy Davies

Microbiology and Molecular Biology Reviews 10.1128/mmbr.00016-10
[20]
Dykhuizen D. E. "Selection in chemostats" Microbiology Reviews (1983) 10.1128/mr.47.2.150-168.1983
[28]
Gustafsson I. "Fitness of antibiotic resistant Staphylococcus epidermidis assessed by competition on the skin of human volunteers" The Journal of Antimicrobial Chemotherapy (2003) 10.1093/jac/dkg331

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Cited By
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Nature Reviews Genetics
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Citations
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Details
Published
Aug 27, 2014
Vol/Issue
8(3)
Pages
273-283
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Funding
Natural Sciences and Engineering Research Council of Canada Award: RGPIN-298357-2009
Cite This Article
Anita H. Melnyk, Alex Wong, Rees Kassen (2014). The fitness costs of antibiotic resistance mutations. Evolutionary Applications, 8(3), 273-283. https://doi.org/10.1111/eva.12196