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

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Effects of new mutations on fitness : insights from models and data. / Bataillon, Thomas; Bailey, Susan F.

In: New York Academy of Sciences. Annals, Vol. 1320, No. 1, 07.2014, p. 76-92.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Harvard

Bataillon, T & Bailey, SF 2014, 'Effects of new mutations on fitness: insights from models and data', New York Academy of Sciences. Annals, vol. 1320, no. 1, pp. 76-92. https://doi.org/10.1111/nyas.12460

APA

Bataillon, T., & Bailey, S. F. (2014). Effects of new mutations on fitness: insights from models and data. New York Academy of Sciences. Annals, 1320(1), 76-92. https://doi.org/10.1111/nyas.12460

CBE

Bataillon T, Bailey SF. 2014. Effects of new mutations on fitness: insights from models and data. New York Academy of Sciences. Annals. 1320(1):76-92. https://doi.org/10.1111/nyas.12460

MLA

Bataillon, Thomas and Susan F Bailey. "Effects of new mutations on fitness: insights from models and data". New York Academy of Sciences. Annals. 2014, 1320(1). 76-92. https://doi.org/10.1111/nyas.12460

Vancouver

Bataillon T, Bailey SF. Effects of new mutations on fitness: insights from models and data. New York Academy of Sciences. Annals. 2014 Jul;1320(1):76-92. https://doi.org/10.1111/nyas.12460

Author

Bataillon, Thomas ; Bailey, Susan F. / Effects of new mutations on fitness : insights from models and data. In: New York Academy of Sciences. Annals. 2014 ; Vol. 1320, No. 1. pp. 76-92.

Bibtex

@article{4ab391c2519f4ffba42efc20e5cb9b18,
title = "Effects of new mutations on fitness: insights from models and data",
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.",
author = "Thomas Bataillon and Bailey, {Susan F}",
note = "{\textcopyright} 2014 The Authors. Annals of the New York Academy of Sciences published by Wiley Periodicals Inc. on behalf of The New York Academy of Sciences.",
year = "2014",
month = jul,
doi = "10.1111/nyas.12460",
language = "English",
volume = "1320",
pages = "76--92",
journal = "New York Academy of Sciences. Annals",
issn = "0077-8923",
publisher = "Wiley-Blackwell Publishing, Inc.",
number = "1",

}

RIS

TY - JOUR

T1 - Effects of new mutations on fitness

T2 - insights from models and data

AU - Bataillon, Thomas

AU - Bailey, Susan F

N1 - © 2014 The Authors. Annals of the New York Academy of Sciences published by Wiley Periodicals Inc. on behalf of The New York Academy of Sciences.

PY - 2014/7

Y1 - 2014/7

N2 - 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.

AB - 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.

U2 - 10.1111/nyas.12460

DO - 10.1111/nyas.12460

M3 - Journal article

C2 - 24891070

VL - 1320

SP - 76

EP - 92

JO - New York Academy of Sciences. Annals

JF - New York Academy of Sciences. Annals

SN - 0077-8923

IS - 1

ER -