Literature DB >> 18791255

A general extreme value theory model for the adaptation of DNA sequences under strong selection and weak mutation.

Paul Joyce1, Darin R Rokyta, Craig J Beisel, H Allen Orr.   

Abstract

Recent theoretical studies of the adaptation of DNA sequences assume that the distribution of fitness effects among new beneficial mutations is exponential. This has been justified by using extreme value theory and, in particular, by assuming that the distribution of fitnesses belongs to the Gumbel domain of attraction. However, extreme value theory shows that two other domains of attraction are also possible: the Fréchet and Weibull domains. Distributions in the Fréchet domain have right tails that are heavier than exponential, while distributions in the Weibull domain have right tails that are truncated. To explore the consequences of relaxing the Gumbel assumption, we generalize previous adaptation theory to allow all three domains. We find that many of the previously derived Gumbel-based predictions about the first step of adaptation are fairly robust for some moderate forms of right tails in the Weibull and Fréchet domains, but significant departures are possible, especially for predictions concerning multiple steps in adaptation.

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Year:  2008        PMID: 18791255      PMCID: PMC2581963          DOI: 10.1534/genetics.108.088716

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  12 in total

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3.  The population genetics of adaptation: the adaptation of DNA sequences.

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5.  The distribution of beneficial and fixed mutation fitness effects close to an optimum.

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6.  The distribution of fitness effects among beneficial mutations in Fisher's geometric model of adaptation.

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8.  Limits of adaptation: the evolution of selective neutrality.

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10.  Beneficial fitness effects are not exponential for two viruses.

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  39 in total

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2.  Real time forecasting of near-future evolution.

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6.  Mutational effects and population dynamics during viral adaptation challenge current models.

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Journal:  Genetics       Date:  2010-11-01       Impact factor: 4.562

7.  Inference for one-step beneficial mutations using next generation sequencing.

Authors:  Andrzej J Wojtowicz; Craig R Miller; Paul Joyce
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Journal:  Genetics       Date:  2009-09-07       Impact factor: 4.562

10.  Dobzhansky-Muller incompatibilities and adaptation to a shared environment.

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