Literature DB >> 31527049

Selective Sweep at a QTL in a Randomly Fluctuating Environment.

Luis-Miguel Chevin1.   

Abstract

Adaptation is mediated by phenotypic traits that are often near continuous, and undergo selective pressures that may change with the environment. The dynamics of allelic frequencies at underlying quantitative trait loci (QTL) depend on their own phenotypic effects, but also possibly on other polymorphic loci affecting the same trait, and on environmental change driving phenotypic selection. Most environments include a substantial component of random noise, characterized both by its magnitude and its temporal autocorrelation, which sets the timescale of environmental predictability. I investigate the dynamics of a mutation affecting a quantitative trait in an autocorrelated stochastic environment that causes random fluctuations of an optimum phenotype. The trait under selection may also exhibit background polygenic variance caused by many polymorphic loci of small effects elsewhere in the genome. In addition, the mutation at the QTL may affect phenotypic plasticity, the phenotypic response of given genotype to its environment of development or expression. Stochastic environmental fluctuations increase the variance of the evolutionary process, with consequences for the probability of a complete sweep at the QTL. Background polygenic variation critically alters this process, by setting an upper limit to stochastic variance of population genetics at the QTL. For a plasticity QTL, stochastic fluctuations also influences the expected selection coefficient, and alleles with the same expected trajectory can have very different stochastic variances. Finally, a mutation may be favored through its effect on plasticity despite causing a systematic mismatch with optimum, which is compensated by evolution of the mean background phenotype.
Copyright © 2019 by the Genetics Society of America.

Keywords:  fluctuating selection; phenotypic plasticity; polygenic adaptation; stochastic environment; temporal autocorrelation

Mesh:

Year:  2019        PMID: 31527049      PMCID: PMC6827380          DOI: 10.1534/genetics.119.302680

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


  97 in total

1.  Non-adaptive plasticity potentiates rapid adaptive evolution of gene expression in nature.

Authors:  Cameron K Ghalambor; Kim L Hoke; Emily W Ruell; Eva K Fischer; David N Reznick; Kimberly A Hughes
Journal:  Nature       Date:  2015-09-02       Impact factor: 49.962

2.  Adaptation of a quantitative trait to a moving optimum.

Authors:  Michael Kopp; Joachim Hermisson
Journal:  Genetics       Date:  2007-04-03       Impact factor: 4.562

3.  Adaptation from standing genetic variation.

Authors:  Rowan D H Barrett; Dolph Schluter
Journal:  Trends Ecol Evol       Date:  2007-11-14       Impact factor: 17.712

4.  A global pattern of thermal adaptation in marine phytoplankton.

Authors:  Mridul K Thomas; Colin T Kremer; Christopher A Klausmeier; Elena Litchman
Journal:  Science       Date:  2012-10-25       Impact factor: 47.728

5.  Evolution of phenotypic plasticity and environmental tolerance of a labile quantitative character in a fluctuating environment.

Authors:  R Lande
Journal:  J Evol Biol       Date:  2014-04-12       Impact factor: 2.411

6.  Fixation probability of a mutant influenced by random fluctuation of selection intensity.

Authors:  T Ota
Journal:  Genet Res       Date:  1972-02       Impact factor: 1.588

7.  On the distribution of the mean and variance of a quantitative trait under mutation-selection-drift balance.

Authors:  R Bürger; R Lande
Journal:  Genetics       Date:  1994-11       Impact factor: 4.562

8.  A simple stochastic gene substitution model.

Authors:  J H Gillespie
Journal:  Theor Popul Biol       Date:  1983-04       Impact factor: 1.570

9.  Gene-environment interactions at nucleotide resolution.

Authors:  Justin Gerke; Kim Lorenz; Shelina Ramnarine; Barak Cohen
Journal:  PLoS Genet       Date:  2010-09-30       Impact factor: 5.917

10.  On measuring selection in experimental evolution.

Authors:  Luis-Miguel Chevin
Journal:  Biol Lett       Date:  2010-09-01       Impact factor: 3.703

View more
  3 in total

1.  Using singleton densities to detect recent selection in Bos taurus.

Authors:  Matthew Hartfield; Nina Aagaard Poulsen; Bernt Guldbrandtsen; Thomas Bataillon
Journal:  Evol Lett       Date:  2021-11-22

2.  Frequency dependence and the predictability of evolution in a changing environment.

Authors:  Luis-Miguel Chevin; Zachariah Gompert; Patrik Nosil
Journal:  Evol Lett       Date:  2021-12-20

3.  From genotype to phenotype: Genetic redundancy and the maintenance of an adaptive polymorphism in the context of high gene flow.

Authors:  Thomas Bataillon; Perrine Gauthier; Palle Villesen; Sylvain Santoni; John D Thompson; Bodil K Ehlers
Journal:  Evol Lett       Date:  2022-02-22
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.