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Abstract Detail


Beaulieu, Jeremy M. [1], O'Meara, Brian C. [2].

A way forward for trait-dependent models of diversification.

The distribution of diversity within plants can vary considerably from clade to clade. Attempts to understand these patterns often employ state-dependent speciation and extinction models to determine whether the evolution of a particular novel trait has increased speciation rates and/or decreased extinction rates. It is still unclear, however, whether these models are uncovering important drivers of diversification in plants, or whether they are simply pointing to more complex patterns involving many unmeasured and co-distributed factors. Here we describe a new way forward by extending the popular state-dependent speciation and extinction models to account for the presence of unmeasured factors that could impact diversification rates estimated for the states of any observed trait, addressing at least one major criticism of BiSSE methods. Specifically, our model, which we refer to as HiSSE (Hidden-State Speciation and Extinction), assumes that related to each observed state in the model are "hidden" states that exhibit potentially distinct diversification dynamics and transition rates than the observed states in isolation. We also demonstrate how our model can be used as character-independent diversification models that allow for a complex diversification process that is independent of the evolution of a character, and how it can be used to potentially solve the rather serious issue of "phylogenetic pseudoreplication". We will focus on the evolution of fruit type in campanulid angiosperms, and discuss the important ways in which HiSSE provides a more nuanced understanding of trait-dependent diversification.

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1 - University of Tennessee, Ecology and Evolutionary Biology, 446 Dabney Hall, Knoxville, TN, 37996-1610, USA
2 - University of Tennessee, Ecology and Evolutionary Biology, 446 Dabney Hall, Knoxville, TN, 37996-1610

fruit anatomy

Presentation Type: Oral Paper
Session: 10, Macroevolution
Location: 202/Savannah International Trade and Convention Center
Date: Monday, August 1st, 2016
Time: 4:30 PM
Number: 10012
Abstract ID:886
Candidate for Awards:None

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