Phylogenetic comparative methods for studying adaptation: the adaptation-inertia framework

Phylogenetic comparative methods are a major tool for evaluating macroevolutionary hypotheses. Methods based on the mean-reverting stochastic Ornstein-Uhlenbeck process allow for modelling adaptation on a phenotypic adaptive landscape that itself evolves and where fitness peaks depend on measured characteristics of the external environment and/or other organismal traits. Here, we give an overview of the conceptual framework for the many implementations of these methods and discuss how we might interpret estimated parameters. We emphasize that the ability to model a changing adaptive landscape sets these methods apart from other approaches and discuss why this aspect captures long-term trait evolution more realistically. Recent multivariate extensions of these methods provide a powerful framework for testing evolutionary hypotheses but are also more complicated to use and interpret. We provide some guidance on their usage and put recent literature on the topic in biological rather than mathematical terms. We further show how these methods provide a starting point for modelling reciprocal selection (i.e., coevolution) between interacting lineages. We then briefly review some critiques of the methodologies. Finally, we provide some ideas for future developments that we think will be useful to evolutionary biologists.

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Publication Details

Journal
Journal of Evolutionary Biology
Published
2025-09-24
DOI
https://doi.org/10.1093/jeb/voaf113
Primary Topic
Evolution and Paleontology Studies
Type
article
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article

Phylogenetic comparative methods for studying adaptation: the adaptation-inertia framework

Kjetil Lysne Voje, Jesualdo A. Fuentes-González, Jason Pienaar, Bjørn Tore Kopperud et al.
Journal of Evolutionary Biology
Evolution and Paleontology Studies
article

Phylogenetic comparative methods for studying adaptation: the adaptation-inertia framework

Kjetil Lysne Voje, Jesualdo A. Fuentes-González, Jason Pienaar, Bjørn Tore Kopperud, Krzysztof Bartoszek, Janna L. Fierst, Thomas F. Hansen, Woodrow Hao Kiang, Bayu Brahmantio
article en

Abstract

Phylogenetic comparative methods are a major tool for evaluating macroevolutionary hypotheses. Methods based on the mean-reverting stochastic Ornstein-Uhlenbeck process allow for modelling adaptation on a phenotypic adaptive landscape that itself evolves and where fitness peaks depend on measured characteristics of the external environment and/or other organismal traits. Here, we give an overview of the conceptual framework for the many implementations of these methods and discuss how we might interpret estimated parameters. We emphasize that the ability to model a changing adaptive landscape sets these methods apart from other approaches and discuss why this aspect captures long-term trait evolution more realistically. Recent multivariate extensions of these methods provide a powerful framework for testing evolutionary hypotheses but are also more complicated to use and interpret. We provide some guidance on their usage and put recent literature on the topic in biological rather than mathematical terms. We further show how these methods provide a starting point for modelling reciprocal selection (i.e., coevolution) between interacting lineages. We then briefly review some critiques of the methodologies. Finally, we provide some ideas for future developments that we think will be useful to evolutionary biologists.

Journal of Evolutionary BiologyVol. 39(1)
Linköping University (SE), Natural History Museum (GB), University of Oslo (NO), Florida International University (US), Ludwig-Maximilians-Universität München (DE)
Openalex Percentile: Top 89%
Evolution and Paleontology Studies
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