Anisogamy drives diverse patterns of sex-role divergence
Long, X.; Henshaw, J.
Show abstract
Male and female animals often differ remarkably in their reproductive behaviours, typified by competing males and caring females. One influential explanation traces sex-role divergence to anisogamy: sex differences in gamete size. This explanation remains controversial, because existing models have not fully resolved how anisogamy leads to secondary sex-role divergence, and exceptions to typical patterns are empirically well-documented. Here, we develop mathematical models linking anisogamy to secondary sex-role evolution, showing that anisogamy drives sex-role divergence along contrasting evolutionary trajectories depending on ecological context. When the sexes differ only in gamete size, male-biased mating competition and offspring care evolve under scramble competition, whereas uncertain paternity shifts the population towards typical patterns. By contrast, anisogamy generally drives typical sex roles under contest competition, although sex-role reversal can emerge as an alternative stable state when care must be apportioned among offspring. Anisogamy can thus explain the striking diversity of sex differences across taxa.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A quantitative genetics model for the dynamics of phenotypic (co)variances under limited dispersal, with an application to the coevolution of socially synergistic traits 96%
- How do mate-finding Allee effects affect evolutionary rescue? 96%
- Eco-Evolutionary Feedbacks between Predator’s Linkage Disequilibrium and Prey Densities Maintain Diversity 96%
Similar papers in this journal
- Evolution of divergent daily temporal niches shaped by male-male competition can generate sympatric speciation 97%
- The joint evolution of separate sexes and sexual dimorphism 96%
- Parasite-induced shifts in host movement may explain the transient coexistence of high- and low-pathogenic disease strains 95%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.