SURFACE: detecting convergent evolution from comparative data by fitting Ornstein‐Uhlenbeck models with stepwise Akaike Information Criterion. Issue 5 (1st March 2013)

• Record Type: Journal Article
• Authors: Ingram, Travis; Mahler, D.Luke; Hansen, Thomas
• Is Part Of: Methods in ecology and evolution. Volume 4:Issue 5(2013:May)
• Page Start: 416
• Page End: 425
• Publication Date: 2013-03-01
• Subjects: Ecology -- Periodicals; Evolution -- Periodicals; 577
• DOI: 10.1111/2041-210X.12034
• Languages: English
• ISSNs: 2041-210X

Abstract

<abstract abstract-type="main" id="mee312034-abs-0001"> <title>Summary</title> <p> <list id="mee312034-list-0001" list-type="order"> <list-item> <p>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.</p> </list-item> <list-item> <p>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.</p> </list-item> <list-item> <p>We demonstrate the method with an application to Hawaiian <italic>Tetragnatha</italic> spiders, and present numerical simulations showing that the method has desirable statistical properties given data for multiple traits.</p> </list-item> <list-item> <p>The <sc>r</sc> package <monospace>surface</monospace> is available as open source software from the Comprehensive R Archive Network.</p> </list-item> </list> </p> </abstract>