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From micro- to macroevolution through quantitative genetic variation: positive evidence from field crickets.
1Department of Biology, McGill University, Montréal, Québec, H3A 1B1, Canada. mbegin1@po-box.mcgill.ca
Evolution; International Journal of Organic Evolution
|November 26, 2004
Summary
The additive genetic variance-covariance matrix (G) evolves slowly and constrains species divergence, linking microevolutionary patterns to macroevolutionary outcomes in field crickets.
Area of Science:
- Evolutionary biology
- Quantitative genetics
- Ecology and evolutionary biology
Background:
- The additive genetic variance-covariance matrix (G) represents genetic constraints on evolution.
- Understanding the evolutionary rate and pattern of G is crucial for linking microevolution to macroevolution.
- The long-term constraining effect of G on evolutionary trajectories remains uncertain.
Purpose of the Study:
- To investigate the evolutionary rate and pattern of the G matrix in field crickets.
- To test the hypothesis that G constrains species divergence.
- To determine if macroevolutionary patterns can be predicted from quantitative genetic theory.
Main Methods:
- Estimated quantitative genetic parameters for morphological traits in seven species of field crickets (Gryllus and Teleogryllus).
- Utilized a nested full-sibling family design for parameter estimation.
- Employed statistical approaches (T method, Flury hierarchy, Mantel test) to compare G matrices phylogenetically.
Main Results:
- G matrices were generally similar across species, indicating a low rate of G evolution.
- Observed variation in G matrices was partly explained by genotype-by-environment interaction.
- Species divergence patterns (trait values) were predictable from the ancestral G matrix, supporting the constraint hypothesis.
Conclusions:
- The G matrix evolves slowly and influences species divergence.
- Macroevolutionary patterns can be qualitatively predicted from quantitative genetic theory.
- The study provides evidence for the role of genetic constraints in shaping evolutionary trajectories.