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      Diminishing Returns From Beneficial Mutations and Pervasive Epistasis Shape the Fitness Landscape for Rifampicin Resistance in Pseudomonas aeruginosa

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      Genetics
      Genetics Society of America

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          Abstract

          Because adaptation depends upon the fixation of novel beneficial mutations, the fitness effects of beneficial mutations that are substituted by selection are key to our understanding of the process of adaptation. In this study, we experimentally investigated the fitness effects of beneficial mutations that are substituted when populations of the pathogenic bacterium Pseudomonas aeruginosa adapt to the antibiotic rifampicin. Specifically, we isolated the first beneficial mutation to be fixed by selection when 96 populations of three different genotypes of P. aeruginosa that vary considerably in fitness in the presence of rifampicin were challenged with adapting to a high dose of this antibiotic. The simple genetics of rifampicin resistance allowed us to determine the genetic basis of adaptation in the majority of our populations. We show that the average fitness effects of fixed beneficial mutations show a simple and clear pattern of diminishing returns, such that selection tends to fix mutations with progressively smaller effects as populations approach a peak on the adaptive landscape. The fitness effects of individual mutations, on the other hand, are highly idiosyncratic across genetic backgrounds, revealing pervasive epistasis. In spite of this complexity of genetic interactions in this system, there is an overall tendency toward diminishing-returns epistasis. We argue that a simple overall pattern of diminishing-returns adaptation emerges, despite pervasive epistasis between beneficial mutations, because many beneficial mutations are available, and while the fitness landscape is rugged at the fine scale, it is smooth and regular when we consider the average over possible routes to adaptation. In the context of antibiotic resistance, these results show that acquiring mutations that confer low levels of antibiotic resistance does not impose any constraint on the ability to evolve high levels of resistance.

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          Most cited references29

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          The genetic theory of adaptation: a brief history.

          Theoretical studies of adaptation have exploded over the past decade. This work has been inspired by recent, surprising findings in the experimental study of adaptation. For example, morphological evolution sometimes involves a modest number of genetic changes, with some individual changes having a large effect on the phenotype or fitness. Here I survey the history of adaptation theory, focusing on the rise and fall of various views over the past century and the reasons for the slow development of a mature theory of adaptation. I also discuss the challenges that face contemporary theories of adaptation.
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            A Mathematical Theory of Natural and Artificial Selection, Part V: Selection and Mutation

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              Bacterial gene amplification: implications for the evolution of antibiotic resistance.

              Recent data suggest that, in response to the presence of antibiotics, gene duplication and amplification (GDA) constitutes an important adaptive mechanism in bacteria. For example, resistance to sulphonamide, trimethoprim and beta-lactams can be conferred by increased gene dosage through GDA of antibiotic hydrolytic enzymes, target enzymes or efflux pumps. Furthermore, most types of antibiotic resistance mechanism are deleterious in the absence of antibiotics, and these fitness costs can be ameliorated by increased gene dosage of limiting functions. In this Review, we highlight the dynamic properties of gene amplifications and describe how they can facilitate adaptive evolution in response to toxic drugs.
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                Author and article information

                Journal
                Genetics
                Genetics
                Genetics Society of America
                0016-6731
                1943-2631
                December 14 2010
                December 2010
                December 2010
                September 27 2010
                : 186
                : 4
                : 1345-1354
                Article
                10.1534/genetics.110.123083
                2998316
                20876562
                df637623-2254-4d20-a1ae-fa81a0f09f5e
                © 2010
                History

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