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Ann N Y Acad Sci. 2014 Jul;1320:76-92. doi: 10.1111/nyas.12460. Epub 2014 May 30.

Effects of new mutations on fitness: insights from models and data.

Author information

1
Bioinformatics Research Center, Aarhus University, Aarhus, Denmark.

Abstract

The rates and properties of new mutations affecting fitness have implications for a number of outstanding questions in evolutionary biology. Obtaining estimates of mutation rates and effects has historically been challenging, and little theory has been available for predicting the distribution of fitness effects (DFE); however, there have been recent advances on both fronts. Extreme-value theory predicts the DFE of beneficial mutations in well-adapted populations, while phenotypic fitness landscape models make predictions for the DFE of all mutations as a function of the initial level of adaptation and the strength of stabilizing selection on traits underlying fitness. Direct experimental evidence confirms predictions on the DFE of beneficial mutations and favors distributions that are roughly exponential but bounded on the right. A growing number of studies infer the DFE using genomic patterns of polymorphism and divergence, recovering a wide range of DFE. Future work should be aimed at identifying factors driving the observed variation in the DFE. We emphasize the need for further theory explicitly incorporating the effects of partial pleiotropy and heterogeneity in the environment on the expected DFE.

KEYWORDS:

distribution of fitness effects; experimental evolution; mutation; mutational landscape models; population genomics

PMID:
24891070
PMCID:
PMC4282485
DOI:
10.1111/nyas.12460
[Indexed for MEDLINE]
Free PMC Article

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