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Cross‐sex genetic correlations for fitness and fitness components: Connecting theoretical predictions to empirical patterns
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 fi...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6546386/ https://www.ncbi.nlm.nih.gov/pubmed/31171981 http://dx.doi.org/10.1002/evl3.116 |
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author | Connallon, Tim Matthews, Genevieve |
author_facet | Connallon, Tim Matthews, Genevieve |
author_sort | Connallon, Tim |
collection | PubMed |
description | 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 ([Formula: see text]) 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 [Formula: see text] are 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 [Formula: see text] , 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 [Formula: see text] provides an unreliable signal of sexually antagonistic selection for two reasons. First, [Formula: see text] is 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 ([Formula: see text] 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 [Formula: see text] will be conservative and underestimate its true scope. In light of these theoretical results, we revisit current data on [Formula: see text] and sex‐specific selection and find that they are consistent with the theory. |
format | Online Article Text |
id | pubmed-6546386 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65463862019-06-06 Cross‐sex genetic correlations for fitness and fitness components: Connecting theoretical predictions to empirical patterns Connallon, Tim Matthews, Genevieve Evol Lett Letters 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 ([Formula: see text]) 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 [Formula: see text] are 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 [Formula: see text] , 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 [Formula: see text] provides an unreliable signal of sexually antagonistic selection for two reasons. First, [Formula: see text] is 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 ([Formula: see text] 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 [Formula: see text] will be conservative and underestimate its true scope. In light of these theoretical results, we revisit current data on [Formula: see text] and sex‐specific selection and find that they are consistent with the theory. John Wiley and Sons Inc. 2019-04-29 /pmc/articles/PMC6546386/ /pubmed/31171981 http://dx.doi.org/10.1002/evl3.116 Text en © 2019 The Author(s). Evolution Letters published by Wiley Periodicals, Inc. on behalf of Society for the Study of Evolution (SSE) and European Society for Evolutionary Biology (ESEB). This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Letters Connallon, Tim Matthews, Genevieve Cross‐sex genetic correlations for fitness and fitness components: Connecting theoretical predictions to empirical patterns |
title | Cross‐sex genetic correlations for fitness and fitness components: Connecting theoretical predictions to empirical patterns |
title_full | Cross‐sex genetic correlations for fitness and fitness components: Connecting theoretical predictions to empirical patterns |
title_fullStr | Cross‐sex genetic correlations for fitness and fitness components: Connecting theoretical predictions to empirical patterns |
title_full_unstemmed | Cross‐sex genetic correlations for fitness and fitness components: Connecting theoretical predictions to empirical patterns |
title_short | Cross‐sex genetic correlations for fitness and fitness components: Connecting theoretical predictions to empirical patterns |
title_sort | cross‐sex genetic correlations for fitness and fitness components: connecting theoretical predictions to empirical patterns |
topic | Letters |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6546386/ https://www.ncbi.nlm.nih.gov/pubmed/31171981 http://dx.doi.org/10.1002/evl3.116 |
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