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Evolutionary Trajectories to Antibiotic Resistance.
Hughes, Diarmaid; Andersson, Dan I.
Afiliação
  • Hughes D; Department of Medical Biochemistry and Microbiology, Uppsala University, 751 23 Uppsala, Sweden; email: diarmaid.hughes@imbim.uu.se.
  • Andersson DI; Department of Medical Biochemistry and Microbiology, Uppsala University, 751 23 Uppsala, Sweden; email: diarmaid.hughes@imbim.uu.se.
Annu Rev Microbiol ; 71: 579-596, 2017 09 08.
Article em En | MEDLINE | ID: mdl-28697667
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bactérias / Evolução Molecular / Farmacorresistência Bacteriana / Antibacterianos Idioma: En Revista: Annu Rev Microbiol Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bactérias / Evolução Molecular / Farmacorresistência Bacteriana / Antibacterianos Idioma: En Revista: Annu Rev Microbiol Ano de publicação: 2017 Tipo de documento: Article