Quantifies molar changes associated with herbivory in primates, suggesting evolutionary implications.
We investigated patterns of evolutionary changes to primate molar morphology, focused on the front-most (mesial) region. Methodological constraints have prevented objectively quantifying anatomical sub-regions to conduct tests of the evolutionary processes that shaped them. Previously, sub-regions across a dental surface were qualitatively scored or subjectively described. We overcame this methodological constraint with Hecate, an algorithm incorporating computer vision and machine learning. Hecate segmented and quantified sub-regions (e.g., cusps and basins) across 500 mandibular second molars that represent major primate clades, outgroups, and key fossils. Combining ancestral state reconstruction, evolutionary model comparison, and other phylogenetic comparative methods, we investigated regional patterns of evolutionary change in primate molar teeth. Here, we show an initial reduction of curvature (associated with increased herbivory) at the front of the molar at the base of Euprimates. This shift marks the start of a trend that continued in parallel among most descendant radiations and suggests widespread herbivory throughout primate evolution. Methodological constraints have limited the quantification of anatomical differences in the mesial region of molars across primate evolution. Here, the authors leverage a combination of computer vision and machine learning to identify morphological changes associated with herbivory at the base of Euprimates.
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Bradley-Cronkwright et al. (2026) studied this question.
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