Measuring natural selection on genotypes and phenotypes in the wild

Area of Science:

• Evolutionary biology
• Population genetics

Background:

• Accurate estimation of natural selection strength is crucial for understanding evolutionary change.
• Various methods exist to quantify selection on genotypes and phenotypes in natural populations.

Purpose of the Study:

• To review and illustrate the utility and limitations of different approaches for estimating selection in the wild.
• To advocate for a comprehensive approach combining multi-level and multi-timescale selection estimates with experimental validation.

Main Methods:

• Review of existing methodologies for quantifying natural selection.
• Analysis of DNA variability patterns.
• Monitoring spatial and temporal allele frequency changes.
• Estimation of fitness components.
• Integration of ecological and evolutionary timescales.
• Incorporation of experimental approaches to validate selection pressures.

Main Results:

• Multiple methods exist to estimate selection, each with specific applications and limitations.
• Combining data from DNA variability, allele frequency shifts, and fitness measures provides insights into selection.
• Integrating selection estimates across different biological levels (mutations to phenotypes) and timescales (ecological to evolutionary) is essential.

Conclusions:

• A comprehensive understanding of adaptive evolution necessitates integrating selection estimates across multiple levels and timescales.
• Experimental validation is key to confirming the drivers of selection on specific traits.
• Combining diverse data and experimental approaches offers a more complete picture of the adaptive process.