Literature DB >> 34849881

Interplay between extreme drift and selection intensities favors the fixation of beneficial mutations in selfing maize populations.

Arnaud Desbiez-Piat1, Arnaud Le Rouzic2, Maud I Tenaillon1, Christine Dillmann1.   

Abstract

Population and quantitative genetic models provide useful approximations to predict long-term selection responses sustaining phenotypic shifts, and underlying multilocus adaptive dynamics. Valid across a broad range of parameters, their use for understanding the adaptive dynamics of small selfing populations undergoing strong selection intensity (thereafter High Drift-High selection regime, HDHS) remains to be explored. Saclay Divergent Selection Experiments (DSEs) on maize flowering time provide an interesting example of populations evolving under HDHS, with significant selection responses over 20 generations in two directions. We combined experimental data from Saclay DSEs, forward individual-based simulations, and theoretical predictions to dissect the evolutionary mechanisms at play in the observed selection responses. We asked two main questions: How do mutations arise, spread, and reach fixation in populations evolving under HDHS? How does the interplay between drift and selection influence observed phenotypic shifts? We showed that the long-lasting response to selection in small populations is due to the rapid fixation of mutations occurring during the generations of selection. Among fixed mutations, we also found a clear signal of enrichment for beneficial mutations revealing a limited cost of selection. Both environmental stochasticity and variation in selection coefficients likely contributed to exacerbate mutational effects, thereby facilitating selection grasp and fixation of small-effect mutations. Together our results highlight that despite a small number of polymorphic loci expected under HDHS, adaptive variation is continuously fueled by a vast mutational target. We discuss our results in the context of breeding and long-term survival of small selfing populations.
© The Author(s) 2021. Published by Oxford University Press on behalf of Genetics Society of America. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  adaptive dynamics; distribution of fitness effects; effective population size; environmental stochasticity; experimental evolution; selection cost; truncation selection

Mesh:

Year:  2021        PMID: 34849881      PMCID: PMC8633138          DOI: 10.1093/genetics/iyab123

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.402


  71 in total

1.  Model of effectively neutral mutations in which selective constraint is incorporated.

Authors:  M Kimura
Journal:  Proc Natl Acad Sci U S A       Date:  1979-07       Impact factor: 11.205

2.  Efficiency of truncation selection.

Authors:  J F Crow; M Kimura
Journal:  Proc Natl Acad Sci U S A       Date:  1979-01       Impact factor: 11.205

3.  Reduced responses to selection after species range expansion.

Authors:  Benoit Pujol; John R Pannell
Journal:  Science       Date:  2008-07-04       Impact factor: 47.728

4.  Modelling temperature-compensated physiological rates, based on the co-ordination of responses to temperature of developmental processes.

Authors:  B Parent; O Turc; Y Gibon; M Stitt; F Tardieu
Journal:  J Exp Bot       Date:  2010-03-01       Impact factor: 6.992

5.  Selection response in finite populations.

Authors:  M Wei; A Caballero; W G Hill
Journal:  Genetics       Date:  1996-12       Impact factor: 4.562

6.  A study of allelic diversity underlying flowering-time adaptation in maize landraces.

Authors:  J Alberto Romero Navarro; Martha Willcox; Juan Burgueño; Cinta Romay; Kelly Swarts; Samuel Trachsel; Ernesto Preciado; Arturo Terron; Humberto Vallejo Delgado; Victor Vidal; Alejandro Ortega; Armando Espinoza Banda; Noel Orlando Gómez Montiel; Ivan Ortiz-Monasterio; Félix San Vicente; Armando Guadarrama Espinoza; Gary Atlin; Peter Wenzl; Sarah Hearne; Edward S Buckler
Journal:  Nat Genet       Date:  2017-02-06       Impact factor: 38.330

7.  Background Selection in Partially Selfing Populations.

Authors:  Denis Roze
Journal:  Genetics       Date:  2016-04-13       Impact factor: 4.562

8.  Directional selection and the evolution of sex and recombination.

Authors:  B Charlesworth
Journal:  Genet Res       Date:  1993-06       Impact factor: 1.588

9.  Phenotypic and genotypic convergences are influenced by historical contingency and environment in yeast.

Authors:  Aymé Spor; Daniel J Kvitek; Thibault Nidelet; Juliette Martin; Judith Legrand; Christine Dillmann; Aurélie Bourgais; Dominique de Vienne; Gavin Sherlock; Delphine Sicard
Journal:  Evolution       Date:  2013-11-25       Impact factor: 3.694

Review 10.  Data and theory point to mainly additive genetic variance for complex traits.

Authors:  William G Hill; Michael E Goddard; Peter M Visscher
Journal:  PLoS Genet       Date:  2008-02-29       Impact factor: 5.917

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