Beyond two alleles: Multiallelic genotypic selection and its estimation from time-series data

Multiallelic genotypic selection can be modeled and estimated from time-series data, revealing complex fitness interactions such as heterozygote advantage in populations.

• Why it matters: Understanding multiallelic variation is crucial because it influences evolutionary processes and is common at key loci, yet most population genetics research has focused on simpler biallelic systems, limiting insights into real-world genetic diversity.
• What they did: A matrix-based approach was developed to represent genotypic selection at multiallelic loci, capable of capturing diverse selection regimes and enabling estimation of genotype-specific fitness effects from allele frequency trajectories, demonstrated using yeast evolution data.
• The result: This framework allows detailed characterization of multiallelic fitness interactions, enhancing the analysis of evolutionary dynamics in both experimental and natural populations, and bridging a significant gap in population genetics methodology.