ArticleScientific reports2018
Testing the impact of morphological rate heterogeneity on ancestral state reconstruction of five floral traits in angiosperms.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Adaptive Strategies Mediating the Diversification of Alpine Plants: The Case of the Himalayan Blue Poppy (Plants (Basel, Switzerland) · 2025Article
- Evaluating the Accuracy of Methods for Detecting Correlated Rates of Molecular and Morphological Evolution.Systematic biology · 2023Article
- Macroevolutionary dynamics in the transition of angiosperms to aquatic environments.The New phytologist · 2022Article
- Exceptional evolutionary lability of flower-like inflorescences (pseudanthia) in Apiaceae subfamily Apioideae.American journal of botany · 2022Article
- How to approach the study of syndromes in macroevolution and ecology.Ecology and evolution · 2022Article
- Article
- Phylogenetic analysis of fossil flowers using an angiosperm-wide data set: proof-of-concept and challenges ahead.American journal of botany · 2020Article
- Structural studies of geranylgeranylglyceryl phosphate synthase, a prenyltransferase found in thermophilic Euryarchaeota.Acta crystallographica. Section D, Structural biology · 2020Article
- Accuracy of ancestral state reconstruction for non-neutral traits.Scientific reports · 2020Article
- Genome-scale phylogenetics reveals a monophyletic Zoopagales (Zoopagomycota, Fungi).Molecular phylogenetics and evolution · 2019Article
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5 authors.
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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.
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