Fast <scp>mvSLOUCH</scp>: Multivariate Ornstein–Uhlenbeck‐based models of trait evolution on large phylogenies-Reference-Cited by-同舟云学术

Fast mvSLOUCH: Multivariate Ornstein–Uhlenbeck‐based models of trait evolution on large phylogenies

Published:2024-07-08 Issue:9 Volume:15 Page:1507-1515
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Bartoszek Krzysztof¹^ORCID,Tredgett Clarke John²³⁴⁵⁶^ORCID,Fuentes‐González Jesualdo⁷^ORCID,Mitov Venelin⁸,Pienaar Jason⁷,Piwczyński Marcin²^ORCID,Puchałka Radosław²^ORCID,Spalik Krzysztof⁹^ORCID,Voje Kjetil Lysne¹⁰

Affiliation:

1. Department of Computer and Information Science Linköping University Linköping Sweden

2. Department of Ecology and Biogeography Nicolaus Copernicus University in Toruń Toruń Poland

3. Department of Zoology, Institute of Ecology and Earth Sciences University of Tartu Tartu Estonia

4. GeoBio‐Center, Ludwig‐Maximilians‐Universität München Munich Germany

5. Department of Earth and Environmental Sciences, Paleontology & Geobiology Ludwig‐Maximilians‐Universität München Munich Germany

6. German Centre for Integrative Biodiversity Research (iDiv) Halle–Jena–Leipzig Leipzig Germany

7. The Institute of Environment Florida International University Miami Florida USA

8. IntiQuan GmbH Basel Switzerland

9. Institute of Evolutionary Biology, Faculty of Biology, Biological and Chemical Research Centre University of Warsaw Warsaw Poland

10. Natural History Museum University of Oslo Oslo Norway

Abstract

The PCMBase R package is a powerful computational tool that enables efficient calculations of likelihoods for a wide range of phylogenetic Gaussian models.

Taking advantage of it, we redesigned the R package mvSLOUCH.

Here, we demonstrate how the new version of the package can be used to thoroughly examine the evolution and adaptation of traits in a large dataset of 1252 vascular plants through the use of multivariate Ornstein–Uhlenbeck processes.

The results of our analysis demonstrate the ability of the modelling framework to distinguish between various alternative hypotheses regarding the evolution of functional traits in angiosperms.

Funder

Alexander von Humboldt-Stiftung

Eesti Teadusagentuur

Narodowa Agencja Wymiany Akademickiej

Vetenskapsrådet

Narodowe Centrum Nauki

Division of Environmental Biology

Excellence Center at Linköping – Lund in Information Technology

Publisher

Wiley

Link

https://besjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.14376