PLoS Genetics · 2009 · 278 citations · 35 references
Life SciencesBiologyGeneticsAntimicrobial ResistanceMicrobial EvolutionMicrobial GeneticsAntibiotic ResistanceAntibiotic Resistance EvolutionEpistasisFitness Costs Of ResistanceMultidrug ResistanceResistance EvolutionAntibiotic Resistance CoevolutionDrug Resistance MutationsEpistasis AnalysisEpistatic InteractionsEvolutionary Dynamics Of ResistanceMultidrug Resistance EvolutionPositive Genetic InteractionsTrade-offs In Resistance Evolution
The evolution of multiple antibiotic resistance is an increasing global problem. Resistance mutations are known to impair fitness, and the evolution of resistance to multiple drugs depends both on their costs individually and on how they interact--epistasis. Information on the level of epistasis between antibiotic resistance mutations is of key importance to understanding epistasis amongst deleterious alleles, a key theoretical question, and to improving public health measures. Here we show that in an antibiotic-free environment the cost of multiple resistance is smaller than expected, a signature of pervasive positive epistasis among alleles that confer resistance to antibiotics. Competition assays reveal that the cost of resistance to a given antibiotic is dependent on the presence of resistance alleles for other antibiotics. Surprisingly we find that a significant fraction of resistant mutations can be beneficial in certain resistant genetic backgrounds, that some double resistances entail no measurable cost, and that some allelic combinations are hotspots for rapid compensation. These results provide additional insight as to why multi-resistant bacteria are so prevalent and reveal an extra layer of complexity on epistatic patterns previously unrecognized, since it is hidden in genome-wide studies of genetic interactions using gene knockouts.
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An Introduction to Population Genetics Theory
James F. Crow · Population · 1971 · 3.5K citations
Life Sciences, Biology, Genetics +12
Darwinian Evolution Can Follow Only Very Few Mutational Paths to Fitter Proteins
Daniel Weinreich, Nigel F. Delaney, Mark A. DePristo et al. · Science · 2006 · 1.5K citations
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