Evidence map›Paper›PMID 42093824›Full record

ArticleJournal of mammalian evolution2026

Dental topography and diet in marsupials and comparisons with primates.

Dorien de Vries, Amy Gao, Darin A Croft, Garrett Brown, Nicholas Burkart, April Connell, Ellie Gahan, Emily Spinks, Robin M D Beck

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Article in Journal of mammalian evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Dorien de VriesSchool of Science, Engineering and Environment, University of Salford, Salford, UK.
Amy GaoDepartment of Anatomy, Case Western Reserve University, Cleveland, OH USA.
Darin A CroftDepartment of Anatomy, Case Western Reserve University, Cleveland, OH USA.
Garrett BrownDepartment of Anatomy, Case Western Reserve University, Cleveland, OH USA.
Nicholas BurkartDepartment of Anatomy, Case Western Reserve University, Cleveland, OH USA.
April ConnellSchool of Science, Engineering and Environment, University of Salford, Salford, UK.
Ellie GahanSchool of Science, Engineering and Environment, University of Salford, Salford, UK.
Emily SpinksSchool of Science, Engineering and Environment, University of Salford, Salford, UK.
Robin M D BeckSchool of Science, Engineering and Environment, University of Salford, Salford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dental topography is a powerful tool for investigating the relationship between diet and tooth shape in mammals. Here, we test whether dental topographic metrics (DTMs) can accurately predict diet in marsupials based on 81 lower molars from 43 extant species in 12 families (six of the seven extant orders), and compare them to DTMs of primates with similar diets. DTMs tested included Dirichlet normal energy (DNE) and variants (ariaDNE, convex DNE, and ariaDNE CV), orientation patch count rotated (OPCR), and Relief Index (RFI). We also investigate the use of the ratio of trigonid to talonid height (TriTaHI) as an additional DTM. Notably, RFI and ariaDNE were less sensitive to sample composition and scanning modality than OPCR and ariaDNE CV were. For marsupials, highest dietary classification accuracy of the leave-one-out quadratic discriminant analysis was achieved by combining ariaDNE, RFI, molar size, and TriTaHI of lower second and third molars, resulting in 69.2% accuracy. In contrast, the primate sample of lower second molars reached highest classification accuracy (80.4%) when using only ariaDNE, RFI, and molar size. When using a clade-based cross-validated approach (i.e., using the primate sample to predict marsupial diets and vice versa), only ariaDNE, RFI, and molar size were needed to obtain the maximum classification accuracy (69.7% when classifying primates using the marsupial training set; and 61.8% vice versa). The comparative dataset of this study should prove useful for studies aiming to reconstruct the diets of fossil mammals that lack phylogenetically close extant analogues. Supplementary Information: The online version contains supplementary material available at 10.1007/s10914-025-09798-9.

Indexed as

Dental topographyDietary adaptationsDiscriminant analysisMachine learningMarsupialsPrimates

Identifiers

PMID42093824
PMCPMC13139304

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.