Approaches for identifying targets of positive selection

Area of Science:

• Population genetics
• Evolutionary biology
• Genomics

Background:

• Fundamental questions about evolutionary forces shaping genomic diversity persist despite a century of research.
• The strength and frequency of adaptive evolution remain key unresolved areas in population genetics.
• Understanding genomic diversity requires effective tools to identify targets of positive selection and link genotypes to phenotypes.

Purpose of the Study:

• To review recent advancements in statistical and empirical methodologies for studying adaptive evolution.
• To discuss challenges and opportunities in uncoupling stochastic and deterministic factors in evolution.
• To highlight the need for unbiased tools to identify positive selection and functionally connect genotypes to phenotypes.

Main Methods:

• Review of statistical tools for identifying targets of positive selection.
• Review of functional approaches connecting genotypes to phenotypes.
• Discussion of advancements in empirical and theoretical population genetics.

Main Results:

• Recent advancements in statistical and empirical methodologies have been made.
• Challenges and opportunities in studying adaptive evolution are identified.
• The relative importance of stochastic and deterministic factors in evolution is being investigated.

Conclusions:

• Continued research is needed to fully understand the evolutionary forces driving genomic diversity.
• Improved statistical and functional methods are crucial for quantifying adaptive evolution.
• Decoupling stochastic and deterministic factors is essential for advancing evolutionary biology.