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Evolutionary Trajectories to Antibiotic Resistance
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Biochemistry and Microbiology.ORCID iD: 0000-0002-7456-9182
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Biochemistry and Microbiology.
2017 (English)In: Annual Review of Microbiology, ISSN 0066-4227, E-ISSN 1545-3251, Vol. 71, p. 579-596Article, review/survey (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2017, 71. Vol. 71, p. 579-596
Keywords [en]
epistasis, mutation rates, population bottlenecks, relative fitness, coselection, selection pressure
National Category
Microbiology
Identifiers
URN: urn:nbn:se:uu:diva-347307DOI: 10.1146/annurev-micro-090816-093813ISI: 000411800600030PubMedID: 28697667ISBN: 978-0-8243-1171-1 OAI: oai:DiVA.org:uu-347307DiVA, id: diva2:1194172
Available from: 2018-03-29 Created: 2018-03-29 Last updated: 2018-03-29Bibliographically approved

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Hughes, DiarmaidAndersson, Dan I

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