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A phylogenetic comparative method for studying multivariate adaptation

Krzysztof Bartoszek (Institutionen för matematiska vetenskaper, matematisk statistik) ; Jason Pienaar ; Petter Mostad (Institutionen för matematiska vetenskaper, matematisk statistik) ; Staffan Andersson ; Thomas F. Hansen
Journal of Theoretical Biology (0022-5193). Vol. 314 (2012), p. 204-215.
[Artikel, refereegranskad vetenskaplig]

Phylogenetic comparative methods have been limited in the way they model adaptation. Although some progress has been made, there are still no methods that can fully account for coadaptation between traits. Based on Ornstein–Uhlenbeck (OU) models of adaptive evolution, we present a method, with R implementation, in which multiple traits evolve both in response to each other and, as in previous OU models, to fixed or randomly evolving predictor variables. We present the interpretation of the model parameters in terms of evolutionary and optimal regressions enabling the study of allometric and adaptive relationships between traits. To illustrate the method we reanalyze a data set of antler and body-size evolution in deer (Cervidae).

Nyckelord: Ornstein–Uhlenbeck process, Multivariate phylogenetic comparative method, Adaptation, Optimality, Allometry

Denna post skapades 2012-12-03. Senast ändrad 2017-07-03.
CPL Pubid: 166997


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Institutioner (Chalmers)

Institutionen för matematiska vetenskaper, matematisk statistik (2005-2016)
Institutionen för biologi och miljövetenskap (GU)


Sannolikhetsteori och statistik

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