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Predicting the Evolution of Sexual Dimorphism in Gene Expression

Sexual dimorphism in gene expression is likely to be the underlying source of dimorphism in a variety of traits. Many analyses implicitly make the assumption that dimorphism only evolves when selection favors different phenotypes in the two sexes, although theory makes clear that it can also evolve...

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Autores principales: Houle, David, Cheng, Changde
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8097294/
https://www.ncbi.nlm.nih.gov/pubmed/33512493
http://dx.doi.org/10.1093/molbev/msaa329
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author Houle, David
Cheng, Changde
author_facet Houle, David
Cheng, Changde
author_sort Houle, David
collection PubMed
description Sexual dimorphism in gene expression is likely to be the underlying source of dimorphism in a variety of traits. Many analyses implicitly make the assumption that dimorphism only evolves when selection favors different phenotypes in the two sexes, although theory makes clear that it can also evolve as an indirect response to other kinds of selection. Furthermore, previous analyses consider the evolution of a single transcript or trait at a time, ignoring the genetic covariance with other transcripts and traits. We first show which aspects of the genetic-variance–covariance matrix, G, affect dimorphism when these assumptions about selection are relaxed. We then reanalyze gene expression data from Drosophila melanogaster with these predictions in mind. Dimorphism of gene expression for individual transcripts shows the signature of both direct selection for dimorphism and indirect responses to selection. To account for the effect of measurement error on evolutionary predictions, we estimated a G matrix for eight linear combinations of expression traits. Sex-specific genetic variances in female- and male-biased transcription, as well as one relatively unbiased combination, were quite unequal, ensuring that most forms of selection on these traits will have large effects on dimorphism. Predictions of response to selection based on the whole G matrix showed that sexually concordant and antagonistic selection are equally capable of changing sexual dimorphism. In addition, the indirect responses of dimorphism due to cross-trait covariances were quite substantial. The assumption that sexual dimorphism in transcription is an adaptation could be incorrect in many specific cases.
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spelling pubmed-80972942021-05-10 Predicting the Evolution of Sexual Dimorphism in Gene Expression Houle, David Cheng, Changde Mol Biol Evol Discoveries Sexual dimorphism in gene expression is likely to be the underlying source of dimorphism in a variety of traits. Many analyses implicitly make the assumption that dimorphism only evolves when selection favors different phenotypes in the two sexes, although theory makes clear that it can also evolve as an indirect response to other kinds of selection. Furthermore, previous analyses consider the evolution of a single transcript or trait at a time, ignoring the genetic covariance with other transcripts and traits. We first show which aspects of the genetic-variance–covariance matrix, G, affect dimorphism when these assumptions about selection are relaxed. We then reanalyze gene expression data from Drosophila melanogaster with these predictions in mind. Dimorphism of gene expression for individual transcripts shows the signature of both direct selection for dimorphism and indirect responses to selection. To account for the effect of measurement error on evolutionary predictions, we estimated a G matrix for eight linear combinations of expression traits. Sex-specific genetic variances in female- and male-biased transcription, as well as one relatively unbiased combination, were quite unequal, ensuring that most forms of selection on these traits will have large effects on dimorphism. Predictions of response to selection based on the whole G matrix showed that sexually concordant and antagonistic selection are equally capable of changing sexual dimorphism. In addition, the indirect responses of dimorphism due to cross-trait covariances were quite substantial. The assumption that sexual dimorphism in transcription is an adaptation could be incorrect in many specific cases. Oxford University Press 2021-01-29 /pmc/articles/PMC8097294/ /pubmed/33512493 http://dx.doi.org/10.1093/molbev/msaa329 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Discoveries
Houle, David
Cheng, Changde
Predicting the Evolution of Sexual Dimorphism in Gene Expression
title Predicting the Evolution of Sexual Dimorphism in Gene Expression
title_full Predicting the Evolution of Sexual Dimorphism in Gene Expression
title_fullStr Predicting the Evolution of Sexual Dimorphism in Gene Expression
title_full_unstemmed Predicting the Evolution of Sexual Dimorphism in Gene Expression
title_short Predicting the Evolution of Sexual Dimorphism in Gene Expression
title_sort predicting the evolution of sexual dimorphism in gene expression
topic Discoveries
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8097294/
https://www.ncbi.nlm.nih.gov/pubmed/33512493
http://dx.doi.org/10.1093/molbev/msaa329
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