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

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          Abstract

          Biomedical and clinical sciences are experiencing a renewed interest in the fact that males and females differ in many anatomic, physiological, and behavioral 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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          Most cited references55

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          Conducting Meta-Analyses inRwith themetaforPackage

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                Author and article information

                Contributors
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                Journal
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                November 17 2020
                November 17 2020
                : 9
                Affiliations
                [1 ]School of Biological and Environmental Sciences, Liverpool John Moores University, Liverpool, United Kingdom
                [2 ]BEES, University of New South Wales, Sydney, Australia
                [3 ]Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, Australia
                [4 ]European Bioinformatics Institute, Cambridge, United Kingdom
                [5 ]School of Life and Environmental Sciences, University of Sydney, Sydney, Australia
                [6 ]Research School of Biology, Australian National University, Canberra, Australia
                [7 ]School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, Australia
                Article
                10.7554/eLife.63170
                4a9676f2-936f-483a-a26d-b9bbaee464f6
                © 2020

                http://creativecommons.org/licenses/by/4.0/

                http://creativecommons.org/licenses/by/4.0/

                http://creativecommons.org/licenses/by/4.0/

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