# Population Genetics of the Emergence and Evolution of Allogenic Recognition During Fertilization

## TL;DR

This study uses population genetics to explore how self and nonself recognition during fertilization evolved in species like ascidians and plants.

## Contribution

A novel population genetics approach is introduced to model the emergence and evolution of allorecognition mechanisms.

## Key findings

- Allorecognition alleles can increase under specific evolutionary conditions.
- Simulations showed coexistence of allorecognition and nonallorecognition genotypes is possible.
- Modeling in Ciona confirmed consistency with experimental data on allorecognition.

## Abstract

Allorecognition, or distinguishing between the self and nonself within the same species, is observed in both animals and plants, particularly in the context of immune reactions and self-incompatibility in sexual reproduction. Polymorphic recognition molecules are known to be responsible for such allorecognition during fertilization. Previous studies have reported that in ascidians and flowering plants, inbreeding avoidance relies on a pair of polymorphic recognition molecules with a receptor-ligand relationship that are encoded at a single locus, the S locus (Self-incompatibility locus), but the process by which such pairs of recognition molecules emerge and evolve to become polymorphic is not known. Here, a population genetics study was carried out as a novel approach for investigating allorecognition. To study the process by which self-recognition emerges, we simulated a situation in which an allorecognizing genotype is generated from a nonallorecognizing genotype through mutation and then analyzed whether the two genotypes could coexist. The conditions under which the numbers of allorecognition alleles could increase over evolutionary time were investigated, and the generational dynamics of nonallorecognizing genotypes were analyzed. Subsequent modeling was carried out to reproduce the allorecognition mechanism in Ciona, and consistency between the simulation results and experimental data was observed. Our approach provides new insight into the evolutionary process of allorecognition.