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

Authors :
Susanne RK Zajitschek
Felix Zajitschek
Russell Bonduriansky
Robert C Brooks
Will Cornwell
Daniel S Falster
Malgorzata Lagisz
Jeremy Mason
Alistair M Senior
Daniel WA Noble
Shinichi Nakagawa
Source :
eLife, Vol 9 (2020)
Publication Year :
2020
Publisher :
eLife Sciences Publications Ltd, 2020.

Abstract

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.

Details

Language :
English
ISSN :
2050084X
Volume :
9
Database :
Directory of Open Access Journals
Journal :
eLife
Publication Type :
Academic Journal
Accession number :
edsdoj.3d034cc322b14db6905126dc594c0a5e
Document Type :
article
Full Text :
https://doi.org/10.7554/eLife.63170