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Structure of multilocus genetic diversity in predominantly selfing populations

Authors :
Margaux Jullien
Miguel Navascués
Joëlle Ronfort
Karine Loridon
Laurène Gay
Amélioration génétique et adaptation des plantes méditerranéennes et tropicales (UMR AGAP)
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
Centre de Biologie pour la Gestion des Populations (UMR CBGP)
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
Institut de Biologie Computationnelle (IBC)
Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)
NRA (French National Institute of Agronomical Research) Department of Genetics and Plant Breeding
INRA Metaprogram ACCAF
Agence Nationale de la Recherche : ANR SEAD-ANR-13-ADAP-0011
ANR-13-ADAP-0011,SEAD,Comment l'autofécondation affecte-t-elle l'adaptation : Conséquences génétiques et démographiques(2013)
Institut National de la Recherche Agronomique (INRA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)
Source :
Heredity, Heredity, Nature Publishing Group, 2019, 123 (2), pp.176-191. ⟨10.1038/s41437-019-0182-6⟩, Heredity (Edinb), Heredity, 2019, 123 (2), pp.176-191. ⟨10.1038/s41437-019-0182-6⟩
Publication Year :
2019
Publisher :
Springer Science and Business Media LLC, 2019.

Abstract

AGAP : équipe GE2pop; International audience; Predominantly selfing populations are expected to have reduced effective population sizes due to nonrandom sampling of gametes, demographic stochasticity (bottlenecks or extinction–recolonization), and large scale hitchhiking (reduced effective recombination). Thus, they are expected to display low genetic diversity, which was confirmed by empirical studies. The structure of genetic diversity in predominantly selfing species is dramatically different from outcrossing ones, with populations often dominated by one or a few multilocus genotypes (MLGs) coexisting with several rare genotypes. Therefore, multilocus diversity indices are relevant to describe diversity in selfing populations. Here, we use simulations to provide analytical expectations for multilocus indices and examine whether selfing alone can be responsible for the highfrequency MLGs persistent through time in the absence of selection. We then examine how combining single and multilocus indices of diversity may be insightful to distinguish the effects of selfing, population size, and more complex demographic events (bottlenecks, migration, admixture, or extinction–recolonization). Finally, we examine how temporal changes in MLG frequencies can be insightful to understand the evolutionary trajectory of a given population. We show that combinations of selfing and small demographic sizes can result in high-frequency MLGs, as observed in natural populations. We also show how different demographic scenarios can be distinguished by the parallel analysis of single and multilocus indices of diversity, and we emphasize the importance of temporal data for the study of predominantly selfing populations. Finally, the comparison of our simulations with empirical data on populations of Medicago truncatula confirms the pertinence of our simulation framework.

Details

ISSN :
13652540 and 0018067X
Volume :
123
Database :
OpenAIRE
Journal :
Heredity
Accession number :
edsair.doi.dedup.....dceff81a579e77171015f37ad2da3e5c