Reproductive isolation with a learned trait in a structured population.

Area of Science:

• Evolutionary biology
• Behavioral ecology
• Population genetics

Background:

• Assortative mating and learning influence mate choice in animals.
• The role of learning in speciation with gene flow remains unclear.

Purpose of the Study:

• Investigate how tutor identity affects the divergence of self-referent phenotype-matching traits through learning.
• Model the impact of different learning types on speciation.

Main Methods:

• Utilized population genetic models incorporating trait learning.
• Simulated oblique learning (from unrelated individuals), maternal learning, and paternal learning.
• Analyzed the maintenance of divergence and polymorphism under different learning scenarios.

Main Results:

• Oblique and maternal learning mask sexual selection, preventing divergence.
• Paternal learning enhances frequency-dependent sexual selection, promoting divergence but risking polymorphism loss.
• Paternal learning impedes the introduction of novel traits, particularly in large populations.

Conclusions:

• The mode of learning significantly impacts the potential for speciation with gene flow.
• Paternal learning offers a pathway for divergence but can reduce genetic diversity.
• Understanding learning mechanisms is crucial for explaining evolutionary processes like speciation.