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Comparative studies of quantitative trait and neutral marker divergence: a meta-analysis
T Leinonen1, R B O'Hara1, J M Cano1
1Ecological Genetics Research Unit, Department of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.
Journal of Evolutionary Biology
|November 22, 2007
Summary
Natural selection predominantly drives population divergence in quantitative traits, as shown by higher Q(ST) values than neutral marker F(ST) values. This meta-analysis reveals significant heterogeneity, underscoring trait and study-specific influences on differentiation.
Area of Science:
- Evolutionary biology
- Population genetics
Background:
- Understanding population differentiation is key to evolutionary biology and conservation.
- Quantitative genetic (Q(ST)) and neutral marker (F(ST)) differentiation metrics help assess roles of selection vs. drift.
- Previous reviews suggest Q(ST) often exceeds F(ST).
Purpose of the Study:
- To comprehensively review and meta-analyze empirical studies comparing Q(ST) and F(ST) differentiation.
- To assess the predominant drivers of among-population divergence in quantitative traits.
- To explore factors influencing the Q(ST)-F(ST) difference.
Main Methods:
- Meta-analysis of empirical studies comparing Q(ST) and F(ST) values.
- Statistical analysis of approximately 100% more data than previous reviews.
- Examination of trait (life history, morphological, behavioral) and marker type influences.
Main Results:
- Q(ST) values are, on average, higher than F(ST) values (mean difference 0.12), indicating a predominant role for natural selection.
- Trait and marker type had minor influences on the Q(ST)-F(ST) variance.
- Significant heterogeneity exists across studies and traits, suggesting context-dependent selection.
Conclusions:
- Natural selection appears to be a major force shaping differentiation in quantitative traits.
- Q(ST)-F(ST) comparisons are valuable for inferring natural selection but face methodological challenges.
- Further research is needed to clarify the significance of the Q(ST)-F(ST) correlation and address interpretational issues.
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