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

Evolution

Institut de Systematique, Evolution, Biodiversité (UMR7205), Museum National d'Histoire Naturelle, CNRS, Sorbonne-Université, EPHE, Université des Antilles, CP50, 57 rue Cuvier, Paris, 75005, France.

Published: January 2021

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.

Download full-text PDF

Source
http://dx.doi.org/10.1111/evo.14129DOI Listing

Publication Analysis

Top Keywords

disassortative mating
28
mate choice
12
evolution disassortative
12
color pattern
12
rejection alleles
12
genetic architecture
8
heterozygote advantage
8
mating based
8
emergence disassortative
8
disassortative
7

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!