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

Susanne R.K. Zajitschek*, Felix Zajitschek, Russell Bonduriansky, Robert C. Brooks, Will Cornwell, Daniel S. Falster, Malgorzata Lagisz, Jeremy Mason, Alistair M. Senior, Daniel W.A. Noble, Shinichi Nakagawa*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    58 Citations (Scopus)

    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.

    Original languageEnglish
    Article numbere63170
    Pages (from-to)1-17
    Number of pages17
    JournaleLife
    Volume9
    DOIs
    Publication statusPublished - Oct 2020

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