A Cautionary Note on "A Cautionary Note on the Use of Ornstein Uhlenbeck Models in Macroevolutionary Studies"

被引:24
作者
Grabowski, Mark [1 ,2 ,11 ]
Pienaar, Jason [3 ]
Voje, Kjetil L. [4 ]
Andersson, Staffan [5 ]
Fuentes-Gonzalez, Jesualdo [3 ]
Kopperud, Bjorn T. [6 ,7 ]
Moen, Daniel S. [8 ]
Tsuboi, Masahito [9 ]
Uyeda, Josef [10 ]
Hansen, Thomas F. [2 ]
机构
[1] Liverpool John Moores Univ, Res Ctr Evolutionary Anthropol & Palaeoecol, Liverpool, England
[2] Univ Oslo, Ctr Ecol & Evolutionary Synth CEES, Dept Biosci, Oslo, Norway
[3] Florida Int Univ Miami, Inst Environm, Dept Biol Sci, Miami, FL USA
[4] Univ Oslo, Nat Hist Museum, Oslo, Norway
[5] Univ Gothenburg, Dept Biol & Environm Sci, Gothenburg, Sweden
[6] Ludwig Maximilians Univ Munchen, GeoBio Ctr LMU, Richard Wagner Str 10, D-80333 Munich, Germany
[7] Ludwig Maximilians Univ Munchen, Dept Earth & Environm Sci Paleontol & Geobiol, Richard Wagner Str 10, D-80333 Munich, Germany
[8] Oklahoma State Univ, Dept Integrat Biol, Stillwater, OK 74078 USA
[9] Lund Univ, Dept Biol, Lund, Sweden
[10] Virginia Tech, Dept Biol Sci, Blacksburg, VA USA
[11] Liverpool John Moores Univ, 3 Byrom St, Liverpool L3 3AF, England
基金
美国国家科学基金会;
关键词
LIKELIHOOD RATIO TESTS; PHYLOGENETIC COMPARATIVE-ANALYSIS; WITHIN-SPECIES VARIATION; TRAIT EVOLUTION; STABILIZING SELECTION; R PACKAGE; ADAPTATION; ERROR; TREE; INFORMATION;
D O I
10.1093/sysbio/syad012
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Models based on the Ornstein-Uhlenbeck process have become standard for the comparative study of adaptation. have cast doubt on this practice by claiming statistical problems with fitting Ornstein-Uhlenbeck models to comparative data. Specifically, they claim that statistical tests of Brownian motion may have too high Type I error rates and that such error rates are exacerbated by measurement error. In this note, we argue that these results have little relevance to the estimation of adaptation with Ornstein-Uhlenbeck models for three reasons. First, we point out that did not consider the detection of distinct optima (e.g. for different environments), and therefore did not evaluate the standard test for adaptation. Second, we show that consideration of parameter estimates, and not just statistical significance, will usually lead to correct inferences about evolutionary dynamics. Third, we show that bias due to measurement error can be corrected for by standard methods. We conclude that have not identified any statistical problems specific to Ornstein-Uhlenbeck models, and that their cautions against their use in comparative analyses are unfounded and misleading. [adaptation, Ornstein-Uhlenbeck model, phylogenetic comparative method.]
引用
收藏
页码:955 / 963
页数:9
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