Polygenic adaptation: a unifying framework to understand positive selection

Area of Science:

• Evolutionary biology
• Population genetics
• Genomics

Background:

• Adaptation is typically polygenic, meaning many genes influence a trait.
• Current genomic data lacks a unified framework for tracking selected alleles.
• Understanding allele dynamics is key to evolutionary studies.

Purpose of the Study:

• Introduce the concept of adaptive architecture.
• Extend genetic architecture to include adaptive potential and population genetics.
• Provide a framework for characterizing polygenic adaptation.

Main Methods:

• Building on theoretical and empirical work.
• Defining adaptive architecture by integrating genetic architecture with adaptive potential and population genetic principles.
• Identifying key characteristics of polygenic adaptation.

Main Results:

• Adaptive architecture extends genetic architecture by incorporating adaptive potential.
• Heterogeneity among loci and non-parallelism between populations are hallmarks of polygenic adaptation.
• These characteristics aid in characterizing adaptation in evolving populations.

Conclusions:

• The proposed adaptive architecture framework unifies the study of polygenic adaptation.
• Heterogeneity and non-parallelism are critical indicators for identifying polygenic adaptation.
• This framework is applicable to both natural and experimental populations for genomic analysis.