Phylogenetic Comparative Analysis: A Modeling Approach for Adaptive Evolution
University of Tennessee at Knoxville
Abstract
Biologists employ phylogenetic comparative methods to study adaptive evolution. However, none of the popular methods model selection directly. We explain and develop a method based on the Ornstein-Uhlenbeck (OU) process, first proposed by Hansen. Ornstein-Uhlenbeck models incorporate both selection and drift and are thus qualitatively different from, and more general than, pure drift models based on Brownian motion. Most importantly, OU models possess selective optima that formalize the notion of adaptive zone. In this article, we develop the method for one quantitative character, discuss interpretations of its parameters, and provide code implementing the method. Our approach allows us to translate hypotheses…
Citation impact
- FWCI
- 28.69
- Percentile
- 100%
- References
- 49
Authors
2Topics & keywords
- Selection (genetic algorithm)
- Computer science
- Phylogenetic comparative methods
- Model selection
- Phylogenetic tree
- Adaptation (eye)
- Variety (cybernetics)
- Process (computing)
- Life in Land