SURFACE: detecting convergent evolution from comparative data by fitting Ornstein‐Uhlenbeck models with stepwise Akaike Information Criterion

@article{Ingram2013SURFACEDC,
  title={SURFACE: detecting convergent evolution from comparative data by fitting Ornstein‐Uhlenbeck models with stepwise Akaike Information Criterion},
  author={Travis Ingram and D. Luke Mahler},
  journal={Methods in Ecology and Evolution},
  year={2013},
  volume={4}
}
We present a method, ‘SURFACE’, that uses the Ornstein‐Uhlenbeck stabilizing selection model to identify cases of convergent evolution using only continuous phenotypic characters and a phylogenetic tree. SURFACE uses stepwise Akaike Information Criterion first to locate regime shifts on a tree, then to identify whether shifts are towards convergent regimes. Simulations can be used to test the hypothesis that a clade contains more convergence than expected by chance. We demonstrate the method… 
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