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

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TLDR
This work presents 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, and demonstrates the method with an application to Hawaiian Tetragnatha spiders.
Abstract
Summary 1. 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. 2. 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. 3. We demonstrate the method with an application to HawaiianTetragnatha spiders, and present numerical simulations showing that the method has desirable statistical properties given data for multiple traits. 4. The R packagesurface is available as open source software from the Comprehensive RA rchive Network.

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Citations
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BAMMtools: an R package for the analysis of evolutionary dynamics on phylogenetic trees

TL;DR: BAMMtools enables users to extract credible sets of diversification shifts and to identify diversification histories with the maximum a posteriori probability, and will facilitate inference on the complex mixture of processes that have shaped the distribution of species and phenotypes across the tree of life.
Journal ArticleDOI

Exceptional Convergence on the Macroevolutionary Landscape in Island Lizard Radiations

TL;DR: For example, this paper showed that diversification on similar Simpsonian landscapes leads to striking convergence of entire faunas on four islands in the Caribbean Anolis lizards, indicating that the adaptive landscape may give rise to predictable evolutionary patterns in nature, that adaptive peaks may be stable over macroevolutionary time and that available geographic area influences the ability of lineages to discover new adaptive peaks.
Journal ArticleDOI

Cryptic species as a window into the paradigm shift of the species concept

TL;DR: It is time for incorporating multicriteria species approaches aiming to understand speciation across space and taxa, thus allowing integration into biodiversity conservation while accommodating for species uncertainty.
Journal ArticleDOI

mvmorph: an r package for fitting multivariate evolutionary models to morphometric data

TL;DR: New features provided by the mvmorph package include the possibility of fitting models with changes in the mode of evolution along the phylogeny, which will be particularly meaningful in comparative analyses that include extinct taxa, for example when testing changes in evolutionary mode associated with global biotic/abiotic events.

Supplementary Materials for Exceptional Convergence on the Macroevolutionary Landscape in Island Lizard Radiations

TL;DR: For Caribbean Anolis lizards, diversification on similar Simpsonian landscapes leads to striking convergence of entire faunas on four islands, indicating that the adaptive landscape may give rise to predictable evolutionary patterns in nature, that adaptive peaks may be stable over macroevolutionary time, and that available geographic area influences the ability of lineages to discover new adaptive peaks.
References
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Journal Article

R: A language and environment for statistical computing.

R Core Team
- 01 Jan 2014 - 
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
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TL;DR: The second edition of this book is unique in that it focuses on methods for making formal statistical inference from all the models in an a priori set (Multi-Model Inference).
Journal ArticleDOI

APE: Analyses of Phylogenetics and Evolution in R language

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The comparative method in evolutionary biology

Paul H. Harvey, +1 more
TL;DR: The comparative method for studying adaptation why worry about phylogeny?
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