MODELING STABILIZING SELECTION: EXPANDING THE ORNSTEIN–UHLENBECK MODEL OF ADAPTIVE EVOLUTION

By Jeremy M Beaulieu, Dwueng-Chwuan Jhwueng, Carl Boettiger, Brian C. O'Meara. 2012

643 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Genetics, Nature and Landscape Conservation

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Citations in the corpus

Batch Stationary Distribution Estimation (2020, background): “After each MCMC step, VPM takes the transition Euler P 1.00 3ower P 1.00 Euler P 2.00 3ower P 2.00 Euler P 3.00 3ower P 3.00 Euler theta 1.00 3ower theta 1.00 Euler theta 2.00 3ower theta 2.00 Euler theta 3.00 3ower theta 3.00 (Beaulieu et al., 2012; Santana et al., 2012) with ( m, � , ✓ ) = (0 .”
mvmorph: an r package for fitting multivariate evolutionary models to morphometric data (2015, background): “…models to continuous data are becoming increasingly popular (e.g. Hansen 1997; Pagel 1999; Butler & King 2004; O’Meara et al. 2006; Thomas, Freckleton & Sz (cid:1) ekely 2006; Hansen, Pienaar & Orzack 2008; Beaulieu et al. 2012; Thomas & Freckleton 2012; Adams 2013; Ingram & Mahler 2013).”
Cope's rule and the adaptive landscape of dinosaur body size evolution (2018, methodology): “Estimating the full set of parameters independently among regimes is computationally intensive (Beaulieu et al. 2012).”
A linear-time algorithm for Gaussian and non-Gaussian trait evolution models. (2014, methodology): “Beaulieu et al. (2012) further extended this adaptive evolution model by allowing different variance rates and/or different selection strengths on different parts of the tree.”
Phylogenetic Comparative Methods and the Evolution of Multivariate Phenotypes (2019, background): “Some common data types include sets of individual traits such as the lengths, ratios, and angles between structures [multivariate morphometrics: Blackith & Reyment (1971)], sets of shape variables obtained from the coordinates of anatomical points [landmark-based geometric morphometrics: Adams et…”
Measurement errors should always be incorporated in phylogenetic comparative analysis (2015, background): “…options, such as jump processes (Eastman et al. 2013; Landis, Schraiber & Liang 2013) or time and lineage-dependent models (Eastman et al. 2011; Lartillot & Poujol 2011; Venditti et al. 2011; Beaulieu et al. 2012; Ingram&Mahler 2013), the simpler BM, OU and ACDCmodels remain remarkably popular.”
A novel Bayesian method for inferring and interpreting the dynamics of adaptive landscapes from phylogenetic comparative data (2014, methodology): “Fitting OU models to macroevolutionary data allows researchers to test hypotheses regarding the existence of distinct phenotypic optima between groups of species (Butler and King 2004; Beaulieu et al. 2012) and more generally, infer evolutionary regressions between phenotypic traits and predictor va”