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Incorporating Continuous Characters in Joint Estimation of Dicynodont Phylogeny
Brenen M Wynd1, Basanta Khakurel1,2,3, Christian F Kammerer4,5
1Department of Biological Sciences, Southeastern Louisiana University, 2400 N. Oak St., Hammond, LA 70402, USA.
Systematic Biology
|November 11, 2025
Summary
Bayesian phylogenetic analysis struggles with continuous traits due to their non-discrete nature. This study shows continuous and discrete traits provide different phylogenetic signals, impacting tree reconstruction for early synapsids.
Area of Science:
- Evolutionary biology
- Phylogenetics
- Computational biology
Background:
- Continuous characters are underutilized in Bayesian phylogenetic estimation.
- Standard Q-matrix models are unsuitable for non-discrete data.
- Dicynodontia, early synapsids, offer a case study for trait analysis.
Purpose of the Study:
- To explore continuous traits in Bayesian phylogenetic estimation using Brownian motion models.
- To compare phylogenetic signal from continuous, discrete, and combined traits.
- To reconstruct the phylogeny of Dicynodontia.
Main Methods:
- Applied two Brownian motion models to continuous traits.
- Analyzed continuous traits separately and combined with discrete traits.
- Estimated phylogenetic trees for Dicynodontia.
Main Results:
- Continuous and discrete traits yield significantly different phylogenetic signals.
- Joint analysis incorporating both trait types produced distinct tree topologies.
- Results challenge established Dicynodontia phylogeny.
Conclusions:
- Continuous traits offer valuable but distinct phylogenetic information.
- Integrating continuous data into Bayesian phylogenetics remains challenging.
- Further model development is needed for continuous character analysis.
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