Nikolic MC, Warnock R, Hopkins MJ (2025)
Publication Type: Journal article
Publication year: 2025
Book Volume: 21
Article Number: 20250205
Journal Issue: 8
The fossilized birth-death (FBD) model has become an increasingly popular method for inferring dated phylogenies. It is especially useful for incorporating fossil data into such analyses, integrating fossils along with their age information directly into the tree as tips or sampled ancestors. Two approaches are common for placing fossil taxa in trees: inference based on morphological character data or using taxonomic constraints to control their topological placement. These approaches have historically been treated as alternatives, and for phylogenetic inference of entirely extinct organisms, additional related fossil taxa other than those for which morphology is available are generally overlooked. Here, for the first time, we implement a combined approach on an empirical dataset for a group of trilobites. We use a morphological matrix and ages for 56 taxa and age information for another 196 taxa from the Paleobiology Database. To evaluate the effects of a combined approach, we conducted FBD-dated phylogenetic analyses using the combined dataset with morphology and taxonomic constraints and compared them to analyses of taxa with morphology alone. We find that a combined approach yields topologies that are more stratigraphically congruent, substantially more precise parameter estimates (e.g. divergence times) and more informative tree distributions. These findings are a consequence of the substantial increase in stratigraphic age information and a more representative sample of the temporal distributions of the group.
APA:
Nikolic, M.C., Warnock, R., & Hopkins, M.J. (2025). Combining fossil taxa with and without morphological data improves dated phylogenetic analyses. Biology Letters, 21(8). https://doi.org/10.1098/rsbl.2025.0205
MLA:
Nikolic, Mark C., Rachel Warnock, and Melanie J. Hopkins. "Combining fossil taxa with and without morphological data improves dated phylogenetic analyses." Biology Letters 21.8 (2025).
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