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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2020
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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. |
format | Online Article Text |
id | pubmed-7704105 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
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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