Testing the impact of morphological rate heterogeneity on ancestral state reconstruction of five floral traits in angiosperms

Author(s)
Elisabeth Reyes, Sophie Nadot, Anna Maria Louise von Balthazar-Schönenberger, Jürg Schönenberger, Hervé Sauquet
Abstract

Ancestral state reconstruction is an important tool to study morphological evolution and often involves estimating transition rates among character states. However, various factors, including taxonomic scale and sampling density, may impact transition rate estimation and indirectly also the probability of the state at a given node. Here, we test the influence of rate heterogeneity using maximum likelihood methods on five binary perianth characters, optimized on a phylogenetic tree of angiosperms including 1230 species sampled from all families. We compare the states reconstructed by an equal-rate (Mk1) and a two-rate model (Mk2) fitted either with a single set of rates for the whole tree or as a partitioned model, allowing for different rates on five partitions of the tree. We find strong signal for rate heterogeneity among the five subdivisions for all five characters, but little overall impact of the choice of model on reconstructed ancestral states, which indicates that most of our inferred ancestral states are the same whether heterogeneity is accounted for or not.

Organisation(s)
Department of Botany and Biodiversity Research
External organisation(s)
Université Paris-Saclay, Université Paris XI - Paris-Sud
Journal
Scientific Reports
Volume
8
ISSN
2045-2322
DOI
https://doi.org/10.1038/s41598-018-27750-1
Publication date
2018
Peer reviewed
Yes
Austrian Fields of Science 2012
106042 Systematic botany, 106008 Botany, 106012 Evolutionary research
Portal url
https://ucris.univie.ac.at/portal/en/publications/testing-the-impact-of-morphological-rate-heterogeneity-on-ancestral-state-reconstruction-of-five-floral-traits-in-angiosperms(461ab954-eefb-48d1-aedc-6414ea3b600c).html