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Current Opinion in Microbiology
Article . 2012 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Selection of resistance at lethal and non-lethal antibiotic concentrations

Authors: Diarmaid Hughes; Dan I Andersson;

Selection of resistance at lethal and non-lethal antibiotic concentrations

Abstract

Much of what we currently know about the genetics and evolution of antibiotic-resistance is based on selections with lethal drug concentrations that allow the detection of rare mutants with strong phenotypes. These data may be misleading with regard to the evolution of antibiotic resistance in natural environments, because bacteria are frequently exposed to concentration gradients of antibiotics. A significant part of antibiotic-resistance evolution may occur when bacteria are exposed to non-lethal concentrations of drug. High-resolution competition assays show that resistance mutations are rapidly enriched, and selected de novo, at very low antibiotic concentrations. Genomic analysis is providing a better understanding of how frequent and small-effect mutations selected at very low antibiotic concentrations contribute to the step-wise development of antibiotic resistance.

Keywords

Microbial Viability, Bacteria, Mutation Rate, Drug Resistance, Bacterial, Mutation, Selection, Genetic, Anti-Bacterial Agents

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
143
Top 1%
Top 10%
Top 1%
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