Literature DB >> 31409252

Quantifying maladaptation during the evolution of sexual dimorphism.

Genevieve Matthews1, Sandra Hangartner1, David G Chapple1, Tim Connallon1,2.   

Abstract

Females and males have distinct trait optima, resulting in selection for sexual dimorphism. However, most traits have strong cross-sex genetic correlations, which constrain evolutionary divergence between the sexes and lead to protracted periods of maladaptation during the evolution of sexual dimorphism. While such constraints are thought to be costly in terms of individual and population fitness, it remains unclear how severe such costs are likely to be. Building upon classical models for the 'cost of selection' in changing environments (sensu Haldane), we derived a theoretical expression for the analogous cost of evolving sexual dimorphism; this cost is a simple function of genetic (co)variances of female and male traits and sex differences in trait optima. We then conducted a comprehensive literature search, compiled quantitative genetic data from a diverse set of traits and populations, and used them to quantify costs of sexual dimorphism in the light of our model. For roughly 90% of traits, costs of sexual dimorphism appear to be modest, and comparable to the costs of fixing one or a few beneficial substitutions. For the remaining traits (approx. 10%), sexual dimorphism appears to carry a substantial cost-potentially orders of magnitude greater than costs of selection during adaptation to environmental changes.

Entities:  

Keywords:  cost of selection; cross-sex genetic correlation; sexual antagonism; sexual conflict; trade-off

Mesh:

Year:  2019        PMID: 31409252      PMCID: PMC6710593          DOI: 10.1098/rspb.2019.1372

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  47 in total

1.  Sexual selection and the maintenance of sex.

Authors:  S Siller
Journal:  Nature       Date:  2001-06-07       Impact factor: 49.962

2.  Intralocus sexual conflict and the genetic architecture of sexually dimorphic traits in Prochyliza xanthostoma (Diptera: Piophilidae).

Authors:  Russell Bonduriansky; Locke Rowe
Journal:  Evolution       Date:  2005-09       Impact factor: 3.694

3.  Natural selection in populations subject to a migration load.

Authors:  Daniel I Bolnick; Patrik Nosil
Journal:  Evolution       Date:  2007-09       Impact factor: 3.694

Review 4.  Purging the genome with sexual selection: reducing mutation load through selection on males.

Authors:  Michael C Whitlock; Aneil F Agrawal
Journal:  Evolution       Date:  2008-12-12       Impact factor: 3.694

5.  SEXUAL DIMORPHISM, SEXUAL SELECTION, AND ADAPTATION IN POLYGENIC CHARACTERS.

Authors:  Russell Lande
Journal:  Evolution       Date:  1980-03       Impact factor: 3.694

6.  Genetic covariances promote climatic adaptation in Australian Drosophila.

Authors:  Sandra Hangartner; Clementine Lasne; Carla M Sgrò; Tim Connallon; Keyne Monro
Journal:  Evolution       Date:  2019-09-19       Impact factor: 3.694

7.  Constraints on the coevolution of contemporary human males and females.

Authors:  Stephen C Stearns; Diddahally R Govindaraju; Douglas Ewbank; Sean G Byars
Journal:  Proc Biol Sci       Date:  2012-10-03       Impact factor: 5.349

8.  Multivariate selection and intersexual genetic constraints in a wild bird population.

Authors:  J Poissant; M B Morrissey; A G Gosler; J Slate; B C Sheldon
Journal:  J Evol Biol       Date:  2016-07-14       Impact factor: 2.411

9.  Negative genetic correlation for adult fitness between sexes reveals ontogenetic conflict in Drosophila.

Authors:  A K Chippindale; J R Gibson; W R Rice
Journal:  Proc Natl Acad Sci U S A       Date:  2001-01-30       Impact factor: 11.205

10.  Cross-sex genetic correlations for fitness and fitness components: Connecting theoretical predictions to empirical patterns.

Authors:  Tim Connallon; Genevieve Matthews
Journal:  Evol Lett       Date:  2019-04-29
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  1 in total

Review 1.  Sexual dimorphism in phenotypic plasticity and persistence under environmental change: An extension of theory and meta-analysis of current data.

Authors:  Sandra Hangartner; Carla M Sgrò; Tim Connallon; Isobel Booksmythe
Journal:  Ecol Lett       Date:  2022-03-25       Impact factor: 11.274

  1 in total

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