How much does the unguarded X contribute to sex differences in life span?

Deleterious mutations evolution of life span evolutionary theory inbreeding depression population genetics sex chromosomes sex ratio sexual dimorphism

Journal

Evolution letters
ISSN: 2056-3744
Titre abrégé: Evol Lett
Pays: England
ID NLM: 101715791

Informations de publication

Date de publication:
Aug 2022
Historique:
received: 21 02 2022
revised: 22 04 2022
accepted: 12 06 2022
entrez: 8 8 2022
pubmed: 9 8 2022
medline: 9 8 2022
Statut: epublish

Résumé

Females and males often have markedly different mortality rates and life spans, but it is unclear why these forms of sexual dimorphism evolve. The unguarded X hypothesis contends that dimorphic life spans arise from sex differences in X or Z chromosome copy number (i.e., one copy in the "heterogametic" sex; two copies in the "homogametic" sex), which leads to a disproportionate expression of deleterious mutations by the heterogametic sex (e.g., mammalian males; avian females). Although data on adult sex ratios and sex-specific longevity are consistent with predictions of the unguarded X hypothesis, direct experimental evidence remains scant, and alternative explanations are difficult to rule out. Using a simple population genetic model, we show that the unguarded X effect on sex differential mortality is a function of several reasonably well-studied evolutionary parameters, including the proportion of the genome that is sex linked, the genomic deleterious mutation rate, the mean dominance of deleterious mutations, the relative rates of mutation and strengths of selection in each sex, and the average effect of mutations on survival and longevity relative to their effects on fitness. We review published estimates of these parameters, parameterize our model with them, and show that unguarded X effects are too small to explain observed sex differences in life span across species. For example, sex differences in mean life span are known to often exceed 20% (e.g., in mammals), whereas our parameterized models predict unguarded X effects of a few percent (e.g., 1-3% in

Identifiants

pubmed: 35937469
doi: 10.1002/evl3.292
pii: EVL3292
pmc: PMC9346086
doi:

Types de publication

Journal Article

Langues

eng

Pagination

319-329

Informations de copyright

© 2022 The Authors. Evolution Letters published by Wiley Periodicals LLC on behalf of Society for the Study of Evolution (SSE) and European Society for Evolutionary Biology (ESEB).

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Tim Connallon (T)

School of Biological Sciences Monash University Clayton VIC 3800 Australia.

Isobel J Beasley (IJ)

School of BioSciences The University of Melbourne Parkville VIC 3010 Australia.
Melbourne Integrative Genomics The University of Melbourne Parkville VIC 3010 Australia.
St. Vincent's Institute of Medical Research Fitzroy VIC 3065 Australia.

Yasmine McDonough (Y)

School of Biological Sciences Monash University Clayton VIC 3800 Australia.

Filip Ruzicka (F)

School of Biological Sciences Monash University Clayton VIC 3800 Australia.

Classifications MeSH