‘treesliceR': a package for slicing phylogenies and inferring phylogenetic patterns over evolutionary time

Phylogenetic indexes summarize the evolutionary information within a given assemblage pool based on the topology and branch lengths of a hypothesized phylogenetic tree. However, different historical contingencies experienced by these assemblages can unevenly distribute evolutionary information through time and over the phylogeny. ‘treesliceR' is an R package containing tools to flexibly cut phylogenies at different depths, and also has built‐in functions to assess spatially explicit phylogenetic patterns over time. ‘treesliceR' can slice phylogenies in any temporal orientation (‘rootwardly' or ‘tipwardly'), using different criteria (million years or phylogenetic diversity). Moreover, ‘treesliceR' contains functions to assess the rates of accumulation of any phylogenetic information (e.g. α and β diversities) through time. These functions are unique to the package and provide outputs that are ready‐to‐use in graphing functions. We demonstrated the main uses of ‘treesliceR' by investigating areas of paleo‐endemism and neo‐endemism of Passeriformes in Australia. Finally, we mapped rates of accumulation of phylogenetic β‐diversity (Cpβ rate ) across Australia. ‘treesliceR' is an open‐source R package under continuous progress, designed to decompose temporally any phylogenetic information.

Authors

Institutions

Publication Details

Journal
Ecography
Published
2024-10-28
DOI
https://doi.org/10.1111/ecog.07364
Primary Topic
Evolution and Paleontology Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

‘treesliceR': a package for slicing phylogenies and inferring phylogenetic patterns over evolutionary time

Marco Túlio Pacheco Coelho, Gabriel Nakamura, Matheus Lima Araujo, Laerte Guimarães Ferreira et al.
Ecography
Evolution and Paleontology Studies
article

‘treesliceR': a package for slicing phylogenies and inferring phylogenetic patterns over evolutionary time

Marco Túlio Pacheco Coelho, Gabriel Nakamura, Matheus Lima Araujo, Laerte Guimarães Ferreira, Thiago Fernando Rangel
article en

Abstract

Phylogenetic indexes summarize the evolutionary information within a given assemblage pool based on the topology and branch lengths of a hypothesized phylogenetic tree. However, different historical contingencies experienced by these assemblages can unevenly distribute evolutionary information through time and over the phylogeny. ‘treesliceR' is an R package containing tools to flexibly cut phylogenies at different depths, and also has built‐in functions to assess spatially explicit phylogenetic patterns over time. ‘treesliceR' can slice phylogenies in any temporal orientation (‘rootwardly' or ‘tipwardly'), using different criteria (million years or phylogenetic diversity). Moreover, ‘treesliceR' contains functions to assess the rates of accumulation of any phylogenetic information (e.g. α and β diversities) through time. These functions are unique to the package and provide outputs that are ready‐to‐use in graphing functions. We demonstrated the main uses of ‘treesliceR' by investigating areas of paleo‐endemism and neo‐endemism of Passeriformes in Australia. Finally, we mapped rates of accumulation of phylogenetic β‐diversity (Cpβ rate ) across Australia. ‘treesliceR' is an open‐source R package under continuous progress, designed to decompose temporally any phylogenetic information.

EcographyVol. 2025(1)
Swiss Federal Institute for Forest, Snow and Landscape Research (CH), Universidade Federal de Goiás (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado de Goiás, Ministério da Ciência, Tecnologia, Inovações e Comunicações
Life in Land
Openalex Percentile: Top 95%
Evolution and Paleontology Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.