Literature DB >> 32970462

Predicting Multivariate Responses of Sexual Dimorphism to Direct and Indirect Selection.

Changde Cheng 成常德, David Houle.   

Abstract

AbstractSexual dimorphism is often assumed to result from balancing the strength of antagonistic selection in favor of dimorphism against the degree of constraint imposed by the shared genome of the sexes, reflected in the B matrix of genetic intersexual covariances. To investigate the totality of forces shaping dimorphism, we reparameterized the Lande equation to predict changes in trait averages and trait differences between the sexes. As genetic constraints on the evolution of dimorphism in response to antagonistic selection become larger, dimorphism will tend to respond more rapidly to concordant selection (which favors the same direction of change in male and female traits) than to antagonistic selection. When we apply this theory to four empirical estimates of B in Drosophila melanogaster, the indirect responses of dimorphism to concordant selection are of comparable or larger magnitude than the direct responses of dimorphism to antagonistic selection in two suites of traits with typical levels of intersex correlation. Antagonistic selection is more important in two suites of traits where the intersex correlations are unusually low. This suggests that the evolution of sexual dimorphism may sometimes be dominated by concordant selection rather than antagonistic selection.

Entities:  

Keywords:  B matrix; G matrix; sexual conflict; sexual dimorphism

Mesh:

Year:  2020        PMID: 32970462     DOI: 10.1086/710353

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  2 in total

1.  The genetic architecture of sexual dimorphism in the moss Ceratodon purpureus.

Authors:  Leslie M Kollar; Scott Kiel; Ashley J James; Cody T Carnley; Danielle N Scola; Taylor N Clark; Tikahari Khanal; Todd N Rosenstiel; Elliott T Gall; Karl Grieshop; Stuart F McDaniel
Journal:  Proc Biol Sci       Date:  2021-03-10       Impact factor: 5.349

2.  Predicting the Evolution of Sexual Dimorphism in Gene Expression.

Authors:  David Houle; Changde Cheng
Journal:  Mol Biol Evol       Date:  2021-05-04       Impact factor: 16.240

  2 in total

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