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Antagonistic pleiotropy in species with separate sexes, and the maintenance of genetic variation in life‐history traits and fitness
Author(s) -
Zajitschek Felix,
Connallon Tim
Publication year - 2018
Publication title -
evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.84
H-Index - 199
eISSN - 1558-5646
pISSN - 0014-3820
DOI - 10.1111/evo.13493
Subject(s) - biology , pleiotropy , genetic load , balancing selection , selection (genetic algorithm) , genetic variation , evolutionary biology , sexual selection , life history theory , genetics , fecundity , disruptive selection , stabilizing selection , natural selection , ecology , phenotype , population , gene , demography , life history , inbreeding , artificial intelligence , sociology , computer science
Antagonistic pleiotropy (AP)—where alleles of a gene increase some components of fitness at a cost to others—can generate balancing selection, and contribute to the maintenance of genetic variation in fitness traits, such as survival, fecundity, fertility, and mate competition. Previous theory suggests that AP is unlikely to maintain variation unless antagonistic selection is strong, or AP alleles exhibit pronounced differences in genetic dominance between the affected traits. We show that conditions for balancing selection under AP expand under the likely scenario that the strength of selection on each fitness component differs between the sexes. Our model also predicts that the vast majority of balanced polymorphisms have sexually antagonistic effects on total fitness, despite the absence of sexual antagonism for individual fitness components. We conclude that AP polymorphisms are less difficult to maintain than predicted by prior theory, even under our conservative assumption that selection on components of fitness is universally sexually concordant. We discuss implications for the maintenance of genetic variation, and for inferences of sexual antagonism that are based on sex‐specific phenotypic selection estimates—many of which are based on single fitness components.