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

Abstract excerpt

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...

Topics

• Algorithms
• Biological Evolution
• Flowers
• Genetic Variation
• Magnoliopsida
• Phylogeny