Conflict over fertilization underlies the transient evolution of reinforcement
Rushworth, Catherine; Wardlaw, Alison; Brandvain, Yaniv; Ross-Ibarra, Jeffery (2022), Conflict over fertilization underlies the transient evolution of reinforcement, Dryad, Dataset, https://doi.org/10.5061/dryad.rjdfn2zf8
When two species meet in secondary contact, the production of low-fitness hybrids may be prevented by the adaptive evolution of increased prezygotic isolation, a process known as reinforcement. Theoretical challenges to the evolution of reinforcement are generally cast as a coordination problem, i.e. "how can statistical associations between traits and preferences be maintained in the face of recombination?" However, the evolution of reinforcement also poses a potential conflict between mates. For example, the opportunity costs to hybridization may differ between the sexes or species. This is particularly likely for reinforcement based on postmating prezygotic (PMPZ) incompatibilities, as the ability to fertilize both conspecific and heterospecific eggs is beneficial to male gametes, but heterospecific mating may incur a cost for female gametes. We develop a population genetic model of interspecific conflict over reinforcement inspired by "gametophytic factors'', which act as PMPZ barriers among Zea mays subspecies. We demonstrate that this conflict results in the transient evolution of reinforcement––after females adaptively evolve to reject gametes lacking a signal common in conspecific gametes, this gamete signal adaptively introgresses into the other population. Ultimately the male gamete signal fixes in both species, and isolation returns to pre-reinforcement levels. We interpret geographic patterns of isolation among Z. mays subspecies considering these findings and suggest when and how this conflict can be resolved. Our results suggest that sexual conflict over fertilization may pose an understudied obstacle to the evolution of reinforcement.
Data as generated by iteration of a deterministic code posted on the associated GitHub repo, https://github.com/carushworth/gameto-theory across the relevant parts of parameter space.
Data as generated by iteration of a deterministic code posted on the associated GitHub repo, https://github.com/carushworth/gameto-theory
gf_sims.R was used to generate all results for figures with only one gametophytic factor (all figures but fig S7).
gf_two_gfs.R was used to generate all results for the two gametophytic factor model (fig S7).
National Science Foundation, Award: 1753632