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Cross‐sex genetic correlations for fitness and fitness components: Connecting theoretical predictions to empirical patterns
Author(s) -
Connallon Tim,
Matthews Genevieve
Publication year - 2019
Publication title -
evolution letters
Language(s) - English
Resource type - Journals
ISSN - 2056-3744
DOI - 10.1002/evl3.116
Subject(s) - biology , selection (genetic algorithm) , genetic load , trait , genetic variation , evolutionary biology , genetic correlation , sexual selection , directional selection , univariate , stabilizing selection , genetics , multivariate statistics , population , statistics , demography , gene , mathematics , artificial intelligence , sociology , computer science , programming language , inbreeding
Sex differences in morphology, physiology, development, and behavior are widespread, yet the sexes inherit nearly identical genomes, causing most traits to exhibit strong and positive cross‐sex genetic correlations. In contrast to most other traits, estimates of cross‐sex genetic correlations for fitness and fitness components ( r W fm ) are generally low and occasionally negative, implying that a substantial fraction of standing genetic variation for fitness might be sexually antagonistic (i.e., alleles benefitting one sex harm the other). Nevertheless, while low values of r W fmare often regarded as consequences of sexually antagonistic selection, it remains unclear exactly how selection and variation in quantitative traits interact to determine the sign and magnitude of r W fm , making it difficult to relate empirical estimates of cross‐sex genetic correlations to the evolutionary processes that might shape them. We present simple univariate and multivariate quantitative genetic models that explicitly link patterns of sex‐specific selection and trait genetic variation to the cross‐sex genetic correlation for fitness. We show that r W fmprovides an unreliable signal of sexually antagonistic selection for two reasons. First, r W fmis constrained to be less than the cross‐sex genetic correlation for traits affecting fitness, regardless of the nature of selection on the traits. Second, sexually antagonistic selection is an insufficient condition for generating negative cross‐sex genetic correlations for fitness. Instead, negative fitness correlations between the sexes ( r W fm< 0 )can only emerge when selection is sexually antagonistic and the strength of directional selection on each sex is strong relative to the amount of shared additive genetic variation in female and male traits. These results imply that empirical tests of sexual antagonism that are based on estimates of r W fmwill be conservative and underestimate its true scope. In light of these theoretical results, we revisit current data on r W fmand sex‐specific selection and find that they are consistent with the theory.

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