Literature DB >> 7750747

Dynamics of polygenic variability under stabilizing selection, recombination, and drift.

S Gavrilets1, A Hastings.   

Abstract

We study the transient dynamics of the genotypic variance of an additive trait under stabilizing selection, recombination and random drift. We show how interaction of these factors determines the form and the rates of change of different components of the genotypic variance. Let Vg be the genic variance of the trait and CL be the contribution of linkage disequilibrium to the genotypic variance. We demonstrate that the dynamics of the system on the plane (Vg, CL) are typically characterized by a quick approach to a straight line with slow evolution along this line afterwards. We show that the number of loci, n, and the population size, N, affect the expected dynamics of Vg mainly through the ratio N/n. We use our analytical and numerical results in interpreting the published results of artificial stabilizing selection experiments. The analysis suggests that it is drift and not selection that most likely led to the reduction of genetic variability in most of these experiments. Even very strong stabilizing selection only slowly removes polygenic variability from populations.

Mesh:

Year:  1995        PMID: 7750747     DOI: 10.1017/s0016672300033012

Source DB:  PubMed          Journal:  Genet Res        ISSN: 0016-6723            Impact factor:   1.588


  4 in total

1.  Genetic variability at neutral markers, quantitative trait land trait in a subdivided population under selection.

Authors:  Valérie Le Corre; Antoine Kremer
Journal:  Genetics       Date:  2003-07       Impact factor: 4.562

2.  A finite locus effect diffusion model for the evolution of a quantitative trait.

Authors:  J R Miller; M C Pugh; M B Hamilton
Journal:  J Math Biol       Date:  2006-02-07       Impact factor: 2.259

3.  An alternative to the breeder's and Lande's equations.

Authors:  Bahram Houchmandzadeh
Journal:  G3 (Bethesda)       Date:  2014-01-10       Impact factor: 3.154

4.  Interactions between microenvironment, selection and genetic architecture drive multiscale adaptation in a simulation experiment.

Authors:  Philippe Cubry; Sylvie Oddou-Muratorio; Ivan Scotti; François Lefèvre
Journal:  J Evol Biol       Date:  2022-02-23       Impact factor: 2.516

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.