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Simulated evolution of mating signal diversification in a primate radiation
Sandra Winters1, James P Higham1
1Department of Anthropology, New York University, New York, NY, USA.
Proceedings. Biological Sciences
|June 22, 2022
Summary
Evolutionary simulations show that mating signal divergence during isolation and reinforcement by assortative mating drive rapid primate face pattern diversification. Strong selection against hybrids is crucial for maintaining species diversity.
Area of Science:
- Evolutionary biology
- Speciation research
- Primate evolution
Background:
- Phenotypic diversity is often driven by divergence in allopatry and reinforcement of mating signals upon secondary contact.
- Observing these evolutionary processes directly is challenging, necessitating the use of simulations.
- Guenons, a primate radiation, display diverse face patterns hypothesized to maintain reproductive isolation through mate choice.
Purpose of the Study:
- To investigate the evolutionary drivers of phenotypic diversity in mating signals using simulations.
- To model the evolution of primate face patterns under varying scenarios of allopatry and sympatry.
- To identify key parameters influencing evolutionary outcomes in speciation.
Main Methods:
- Developed evolutionary simulations of mating signal evolution in phenotype space.
- Modeled mate recognition signals in guenons, focusing on face pattern evolution.
- Simulated periods of allopatry and sympatry to analyze evolutionary trajectories.
Main Results:
- Diversification in allopatry coupled with assortative mate choice during secondary contact rapidly drives phenotypic diversification.
- Distinctive (between-species) and stereotyped (within-species) face patterns emerge, mirroring extant guenons.
- Strong selection against hybrids is essential for diversification; low hybrid fitness leads to population merging.
Conclusions:
- Reinforcement by assortative mating plays a key role in maintaining species diversity.
- Simulation results support the hypothesis that this process explains the striking diversity in guenon face patterns.
- The study highlights the power of simulated evolution in understanding complex evolutionary phenomena.
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