Evolution and genetic architecture of disassortative mating at a locus under heterozygote advantage

Details

Serval ID
serval:BIB_0458FD09B544
Type
Article: article from journal or magazin.
Collection
Publications
Title
Evolution and genetic architecture of disassortative mating at a locus under heterozygote advantage
Journal
Evolution
Author(s)
Maisonneuve Ludovic, Chouteau Mathieu, Joron Mathieu, Llaurens Violaine
ISSN
0014-3820
1558-5646
Publication state
Published
Issued date
01/2021
Volume
75
Number
1
Pages
149-165
Language
english
Abstract
Abstract The evolution of mate choice is a major topic in evolutionary biology because it is thought to be a key factor in trait and species diversification. Here, we aim at uncovering the ecological conditions and genetic architecture enabling the puzzling evolution of disassortative mating based on adaptive traits. This rare form of mate choice is observed for some polymorphic traits but theoretical predictions on the emergence and persistence of this behavior are largely lacking. Thus, we developed a mathematical model to specifically understand the evolution of disassortative mating based on mimetic color pattern in the polymorphic butterfly Heliconius numata. We confirm that heterozygote advantage favors the evolution of disassortative mating and show that disassortative mating is more likely to emerge if at least one allele at the trait locus is free from any recessive deleterious mutations. We modeled different possible genetic architectures underlying mate choice behavior, such as self-referencing alleles, or specific preference or rejection alleles. Our results showed that self-referencing or rejection alleles linked to the color pattern locus enable the emergence of disassortative mating. However, rejection alleles allow the emergence of disassortative mating only when the color pattern and preference loci are tightly linked.
Keywords
General Agricultural and Biological Sciences, Genetics, Ecology, Evolution, Behavior and Systematics
Pubmed
Web of science
Create date
08/11/2022 10:05
Last modification date
24/02/2024 7:35
Usage data