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Sexual dimorphism in trait variability and its eco-evolutionary and statistical implications

Biomedical and clinical sciences are experiencing a renewed interest in the fact that males and females differ in many anatomic, physiological, and behavioural traits. Sex differences in trait variability, however, are yet to receive similar recognition. In medical science, mammalian females are ass...

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Autores principales: Zajitschek, Susanne RK, Zajitschek, Felix, Bonduriansky, Russell, Brooks, Robert C, Cornwell, Will, Falster, Daniel S, Lagisz, Malgorzata, Mason, Jeremy, Senior, Alistair M, Noble, Daniel WA, Nakagawa, Shinichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7704105/
https://www.ncbi.nlm.nih.gov/pubmed/33198888
http://dx.doi.org/10.7554/eLife.63170
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author Zajitschek, Susanne RK
Zajitschek, Felix
Bonduriansky, Russell
Brooks, Robert C
Cornwell, Will
Falster, Daniel S
Lagisz, Malgorzata
Mason, Jeremy
Senior, Alistair M
Noble, Daniel WA
Nakagawa, Shinichi
author_facet Zajitschek, Susanne RK
Zajitschek, Felix
Bonduriansky, Russell
Brooks, Robert C
Cornwell, Will
Falster, Daniel S
Lagisz, Malgorzata
Mason, Jeremy
Senior, Alistair M
Noble, Daniel WA
Nakagawa, Shinichi
author_sort Zajitschek, Susanne RK
collection PubMed
description Biomedical and clinical sciences are experiencing a renewed interest in the fact that males and females differ in many anatomic, physiological, and behavioural traits. Sex differences in trait variability, however, are yet to receive similar recognition. In medical science, mammalian females are assumed to have higher trait variability due to estrous cycles (the ‘estrus-mediated variability hypothesis’); historically in biomedical research, females have been excluded for this reason. Contrastingly, evolutionary theory and associated data support the ‘greater male variability hypothesis’. Here, we test these competing hypotheses in 218 traits measured in >26,900 mice, using meta-analysis methods. Neither hypothesis could universally explain patterns in trait variability. Sex bias in variability was trait-dependent. While greater male variability was found in morphological traits, females were much more variable in immunological traits. Sex-specific variability has eco-evolutionary ramifications, including sex-dependent responses to climate change, as well as statistical implications including power analysis considering sex difference in variance.
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spelling pubmed-77041052020-12-02 Sexual dimorphism in trait variability and its eco-evolutionary and statistical implications Zajitschek, Susanne RK Zajitschek, Felix Bonduriansky, Russell Brooks, Robert C Cornwell, Will Falster, Daniel S Lagisz, Malgorzata Mason, Jeremy Senior, Alistair M Noble, Daniel WA Nakagawa, Shinichi eLife Ecology Biomedical and clinical sciences are experiencing a renewed interest in the fact that males and females differ in many anatomic, physiological, and behavioural traits. Sex differences in trait variability, however, are yet to receive similar recognition. In medical science, mammalian females are assumed to have higher trait variability due to estrous cycles (the ‘estrus-mediated variability hypothesis’); historically in biomedical research, females have been excluded for this reason. Contrastingly, evolutionary theory and associated data support the ‘greater male variability hypothesis’. Here, we test these competing hypotheses in 218 traits measured in >26,900 mice, using meta-analysis methods. Neither hypothesis could universally explain patterns in trait variability. Sex bias in variability was trait-dependent. While greater male variability was found in morphological traits, females were much more variable in immunological traits. Sex-specific variability has eco-evolutionary ramifications, including sex-dependent responses to climate change, as well as statistical implications including power analysis considering sex difference in variance. eLife Sciences Publications, Ltd 2020-11-17 /pmc/articles/PMC7704105/ /pubmed/33198888 http://dx.doi.org/10.7554/eLife.63170 Text en © 2020, Zajitschek et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Ecology
Zajitschek, Susanne RK
Zajitschek, Felix
Bonduriansky, Russell
Brooks, Robert C
Cornwell, Will
Falster, Daniel S
Lagisz, Malgorzata
Mason, Jeremy
Senior, Alistair M
Noble, Daniel WA
Nakagawa, Shinichi
Sexual dimorphism in trait variability and its eco-evolutionary and statistical implications
title Sexual dimorphism in trait variability and its eco-evolutionary and statistical implications
title_full Sexual dimorphism in trait variability and its eco-evolutionary and statistical implications
title_fullStr Sexual dimorphism in trait variability and its eco-evolutionary and statistical implications
title_full_unstemmed Sexual dimorphism in trait variability and its eco-evolutionary and statistical implications
title_short Sexual dimorphism in trait variability and its eco-evolutionary and statistical implications
title_sort sexual dimorphism in trait variability and its eco-evolutionary and statistical implications
topic Ecology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7704105/
https://www.ncbi.nlm.nih.gov/pubmed/33198888
http://dx.doi.org/10.7554/eLife.63170
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