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<scp>RPANDA</scp> : an R package for macroevolutionary analyses on phylogenetic trees

Authors :
Jonathan P. Drury
Julien Clavel
Eric Lewitus
Hélène Morlon
Marc Manceau
Fabien L. Condamine
Institut de biologie de l'ENS Paris (IBENS)
Département de Biologie - ENS Paris
École normale supérieure - Paris (ENS-PSL)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Institut des Sciences de l'Evolution de Montpellier (UMR ISEM)
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École Pratique des Hautes Études (EPHE)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Institut de recherche pour le développement [IRD] : UR226-Centre National de la Recherche Scientifique (CNRS)
We thank members of HM's group, as well as reviewers D.S. Caetano and D. Silvestro for comments on a previous version of the manuscript. The development of RPANDA is supported by grant CHEX‐ECOEVOBIO from the Agence Nationale de la Recherche and grant 616419‐PANDA from the European Research Council awarded to HM.
ANR-11-CHEX-0003,ECOEVOBIO,Déterminants écologiques et évolutifs de la biodiversité: associer biogéographie, écologie fonctionnelle, et macroévolution(2011)
European Project: 616419,EC:FP7:ERC,ERC-2013-CoG,PANDA(2014)
Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Département de Biologie - ENS Paris
École normale supérieure - Paris (ENS Paris)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris)
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École pratique des hautes études (EPHE)
Hennaut, Odile
Chaires d’excellence - Déterminants écologiques et évolutifs de la biodiversité: associer biogéographie, écologie fonctionnelle, et macroévolution - - ECOEVOBIO2011 - ANR-11-CHEX-0003 - CHEX - VALID
Phylogenetic ANalysis of Diversification Across the tree of life - PANDA - - EC:FP7:ERC2014-06-01 - 2019-05-31 - 616419 - VALID
Institut de biologie de l'ENS Paris (UMR 8197/1024) (IBENS)
Source :
Methods in Ecology and Evolution, Methods in Ecology and Evolution, 2015, 7 (5), pp.589-597. ⟨10.1111/2041-210X.12526⟩, Methods in Ecology and Evolution, Wiley, 2015, 7 (5), pp.589-597. ⟨10.1111/2041-210X.12526⟩, Methods in ecology and evolution, 2016, Vol.7(5), pp.589-597 [Peer Reviewed Journal]
Publication Year :
2016
Publisher :
Wiley, 2016.

Abstract

International audience; A number of approaches for studying macroevolution using phylogenetic trees have been developed in the last few years. Here, we present RPANDA, an R package that implements model‐free and model‐based phylogenetic comparative methods for macroevolutionary analyses. The model‐free approaches implemented in RPANDA are recently developed approaches stemming from graph theory that allow summarizing the information contained in phylogenetic trees, computing distances between trees, and clustering them accordingly. They also allow identifying distinct branching patterns within single trees. RPANDA also implements likelihood‐based models for fitting various diversification models to phylogenetic trees. It includes birth–death models with i) constant, ii) time‐dependent and iii) environmental‐dependent speciation and extinction rates. It also includes models with equilibrium diversity derived from the coalescent process, as well as a likelihood‐based inference framework to fit the individual‐based model of Speciation by Genetic Differentiation, which is an extension of Hubbell&#39;s neutral theory of biodiversity. RPANDA can be used to (i) characterize trees by plotting their spectral density profiles (ii) compare trees and cluster them according to their similarities, (iii) identify and plot distinct branching patterns within trees, (iv) compare the fit of alternative diversification models to phylogenetic trees, (v) estimate rates of speciation and extinction, (vi) estimate and plot how these rates have varied with time and environmental variables and (vii) deduce and plot estimates of species richness through geological time. RPANDA provides investigators with a set of tools for exploring patterns in phylogenetic trees and fitting various models to these trees, thereby contributing to the ongoing development of phylogenetics in the life sciences.

Details

ISSN :
2041210X
Volume :
7
Database :
OpenAIRE
Journal :
Methods in Ecology and Evolution
Accession number :
edsair.doi.dedup.....9e50e1c6aeb0d23f9bd8aba94a0ae808
Full Text :
https://doi.org/10.1111/2041-210x.12526