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Data from: Phylogenetic inference from atomised 3D morphometric data: a case study using kangaroos

Celik, Mélina1; Fruciano, Carmelo2; Butler, Kaylene3; Weisbecker, vera4; Phillips, Matthew1

Published Feb 05, 2026 on Dryad. https://doi.org/10.5061/dryad.rn8pk0pm4

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Feb 05, 2026 version files 1.49 MB

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Abstract

Reconstructing phylogeny from morphological data remains mired in investigator biases, including subjective inclusion and discretisation of phenotypic variation. Geometric morphometrics and multivariate statistical analyses provide an alternative array of tools for studying variation in morphological traits. However, direct analysis of landmark data is often unreliable for phylogeny reconstruction. Morphological variation is typically highly correlated among nearby landmarks and may evolve saltationally between adaptive peaks instead of gradually, thereby violating the assumptions of typical continuous models. To address these concerns, we developed an approach to more objectively discretise morphometric data and applied it to 3D surface scans of mandibles and postcranial elements of Macropodiformes (kangaroos, bettongs, and rat-kangaroos). These scans were partitioned into sets of locally co-varying landmarks which approximate functional units. These “atomised” characters were then discretised using novel approaches to combine the objectivity of continuous shape variation for delineating discrete states with the model flexibility offered for multi-state characters. This allows us to (1) potentially reduce the influence  of non-independence among neighbouring landmarks, (2) accommodate multimodal variation from saltational evolution, (3) accommodate missing data, such as from fragmentary fossils, and (4) promote tree-search efficiency. We built discrete morphological character matrices using three alternative approaches: commonly used clustering algorithms (UPGMA, *k-*means, *k-*medoids, Gaussian mixture modelling), a minimum evolution branch length criterion, and a tree sampling procedure. Our phylogenetic analyses with these novel matrices generally succeeded in recovering genera and several deep-level macropodiform clades, but failed to accurately reconstruct intergeneric relationships within the rapid diversification of the macropodine sub-family; those relationships were also not recovered with continuous morphological data or traditionally discretised characters and are the most poorly resolved with DNA data. On balance, our atomised characters, which derive from only mandibular and three postcranial elements, show promise for improving objectivity, accuracy and clocklikeness in morphological phylogenetics and provide pathways for accommodating correlated homoplasy and for more accurately estimating rates of morphological evolution, and thereby better integrating phenotypic and genomic data for phylogenetic inference.