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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
Published on: August 14, 2018
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Phylogenetic ANOVA: Group-clade aggregation, biological challenges, and a refined permutation procedure
Dean C Adams1,2, Michael L Collyer3
1Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, Iowa.
Evolution; International Journal of Organic Evolution
|April 24, 2018
Summary
We introduce a new method, Randomizing Residuals in a Permutation Procedure (RRPP), for phylogenetic ANOVA. RRPP improves statistical power and accuracy for comparing traits across species, especially when groups are not phylogenetically clustered.
Area of Science:
- Macroevolutionary biology
- Phylogenetic comparative methods
- Quantitative genetics
Background:
- Phylogenetic regression is well-studied, but phylogenetic ANOVA requires further investigation for accurate macroevolutionary inferences.
- Current methods for comparing multivariate phenotypes across groups using phylogenies can lead to incorrect statistical and biological conclusions.
- Understanding how phylogenetic structure influences group comparisons is crucial for robust macroevolutionary analyses.
Purpose of the Study:
- To develop and validate a refined permutation procedure for phylogenetic ANOVA and regression.
- To assess the statistical properties and power of the proposed method compared to existing techniques.
- To investigate the impact of phylogenetic group aggregation on statistical inferences in comparative studies.
Main Methods:
- A novel permutation procedure, Randomizing Residuals in a Permutation Procedure (RRPP), was developed.
- RRPP was applied to both phylogenetic ANOVA and regression models for univariate and multivariate datasets.
- Statistical properties and power were evaluated, including comparisons with phylogenetic simulation methods.
- The influence of phylogenetic group dispersion on statistical power and biological interpretation was analyzed.
Main Results:
- RRPP demonstrates appropriate statistical properties for phylogenetic ANOVA and regression across various data types.
- RRPP exhibits higher statistical power for phylogenetic ANOVA than methods using phylogenetic simulation.
- Highly aggregated groups along the phylogeny reduce statistical power and can bias biological interpretations.
- The method effectively conditions data on the phylogeny for robust group comparisons.
Conclusions:
- RRPP is a statistically sound and powerful method for phylogenetic ANOVA and regression.
- Researchers should be cautious about phylogenetic group aggregation, as it can compromise inferences.
- RRPP is recommended for phylogenetic comparative studies of continuous traits to assess trait variation sources.
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