Evolutionary Trajectories to Antibiotic Resistance

Evolutionary Trajectories to Antibiotic Resistance The ability to predict the evolutionary trajectories of antibiotic resistance would be of great value in tailoring dosing regimens of antibiotics so as to maximize the duration of their usefulness. Useful prediction of resistance evolution requires information about (a) the mutation supply rate, (b) the level of resistance conferred by the resistance mechanism, (c) the fitness of the antibiotic-resistant mutant bacteria as a function of drug concentration, and (d) the strength of selective pressures. In addition, processes including epistatic interactions and compensatory evolution, coselection of drug resistances, and population bottlenecks and clonal interference can strongly influence resistance evolution and thereby complicate attempts at prediction. Currently, the very limited quantitative data on most of these parameters severely limit attempts to accurately predict trajectories of resistance evolution. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annual Review of Microbiology Annual Reviews

Evolutionary Trajectories to Antibiotic Resistance

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Publisher
Annual Reviews
Copyright
Copyright 2017 by Annual Reviews. All rights reserved
ISSN
0066-4227
eISSN
1545-3251
D.O.I.
10.1146/annurev-micro-090816-093813
Publisher site
See Article on Publisher Site

Abstract

The ability to predict the evolutionary trajectories of antibiotic resistance would be of great value in tailoring dosing regimens of antibiotics so as to maximize the duration of their usefulness. Useful prediction of resistance evolution requires information about (a) the mutation supply rate, (b) the level of resistance conferred by the resistance mechanism, (c) the fitness of the antibiotic-resistant mutant bacteria as a function of drug concentration, and (d) the strength of selective pressures. In addition, processes including epistatic interactions and compensatory evolution, coselection of drug resistances, and population bottlenecks and clonal interference can strongly influence resistance evolution and thereby complicate attempts at prediction. Currently, the very limited quantitative data on most of these parameters severely limit attempts to accurately predict trajectories of resistance evolution.

Journal

Annual Review of MicrobiologyAnnual Reviews

Published: Sep 8, 2017

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