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phylosignal: an R package to measure, test, and explore the phylogenetic signal
Phylogenetic signal is the tendency for closely related species to display similar trait values as a consequence of their phylogenetic proximity. Ecologists and evolutionary biologists are becoming increasingly interested in studying the phylogenetic signal and the processes which drive patterns of...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4799788/ https://www.ncbi.nlm.nih.gov/pubmed/27066252 http://dx.doi.org/10.1002/ece3.2051 |
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author | Keck, François Rimet, Frédéric Bouchez, Agnès Franc, Alain |
author_facet | Keck, François Rimet, Frédéric Bouchez, Agnès Franc, Alain |
author_sort | Keck, François |
collection | PubMed |
description | Phylogenetic signal is the tendency for closely related species to display similar trait values as a consequence of their phylogenetic proximity. Ecologists and evolutionary biologists are becoming increasingly interested in studying the phylogenetic signal and the processes which drive patterns of trait values in the phylogeny. Here, we present a new R package, phylosignal which provides a collection of tools to explore the phylogenetic signal for continuous biological traits. These tools are mainly based on the concept of autocorrelation and have been first developed in the field of spatial statistics. To illustrate the use of the package, we analyze the phylogenetic signal in pollution sensitivity for 17 species of diatoms. |
format | Online Article Text |
id | pubmed-4799788 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-47997882016-04-08 phylosignal: an R package to measure, test, and explore the phylogenetic signal Keck, François Rimet, Frédéric Bouchez, Agnès Franc, Alain Ecol Evol Original Research Phylogenetic signal is the tendency for closely related species to display similar trait values as a consequence of their phylogenetic proximity. Ecologists and evolutionary biologists are becoming increasingly interested in studying the phylogenetic signal and the processes which drive patterns of trait values in the phylogeny. Here, we present a new R package, phylosignal which provides a collection of tools to explore the phylogenetic signal for continuous biological traits. These tools are mainly based on the concept of autocorrelation and have been first developed in the field of spatial statistics. To illustrate the use of the package, we analyze the phylogenetic signal in pollution sensitivity for 17 species of diatoms. John Wiley and Sons Inc. 2016-03-19 /pmc/articles/PMC4799788/ /pubmed/27066252 http://dx.doi.org/10.1002/ece3.2051 Text en © 2016 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Keck, François Rimet, Frédéric Bouchez, Agnès Franc, Alain phylosignal: an R package to measure, test, and explore the phylogenetic signal |
title | phylosignal: an R package to measure, test, and explore the phylogenetic signal |
title_full | phylosignal: an R package to measure, test, and explore the phylogenetic signal |
title_fullStr | phylosignal: an R package to measure, test, and explore the phylogenetic signal |
title_full_unstemmed | phylosignal: an R package to measure, test, and explore the phylogenetic signal |
title_short | phylosignal: an R package to measure, test, and explore the phylogenetic signal |
title_sort | phylosignal: an r package to measure, test, and explore the phylogenetic signal |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4799788/ https://www.ncbi.nlm.nih.gov/pubmed/27066252 http://dx.doi.org/10.1002/ece3.2051 |
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