3D geometric morphometric analysis of morphological covariation in the modern human postcanine dentition

Analysis of 3D shape covariation patterns between different tooth types is rarely investigated but is important for human evolution, dental anthropology, and medicine. We explored shape covariation of the postcanine dentition (excluding third molars) within and between dental arches using geometric morphometrics. Based on micro-CT scans of 526 teeth from 136 individuals, we analyzed dentine crowns, considering enamel-dentine junction (EDJ) occlusal surface and cervical outlines. High pairwise correlations occurred within dental arches (lower P3-P4, r₁ = 0.89; upper P3-P4, r₁ = 0.81; upper M1-M2, r₁ = 0.86). Between antagonists, correlations varied from the highest in upper-lower M1 (r = 0.90) to the lowest in upper P4-lower M1 (r = 0.58). Unexpectedly high covariation appeared between some non-occluding teeth (lower P3-upper M2, r₁ = 0.88). Relatively high covariation also occurred between different tooth classes serving similar masticatory functions: lower P4-upper M1 (r₁ = 0.79) and upper P4-lower M1 (r₁ = 0.77). Crown height and relative proportions emerged as the main factors driving covariation within the postcanine dentition, independently from allometric effects. Overall, morphological integration is stronger within the same dental arch than between antagonistic teeth. These results provide baseline data for developmental, phylogenetic, and functional studies of the human postcanine dentition, including potential phenotype-genotype associations.

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Journal
Scientific Reports
Published
2026-06-09
DOI
https://doi.org/10.1038/s41598-026-56919-2
Primary Topic
Morphological variations and asymmetry
Type
article
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0.00

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article

3D geometric morphometric analysis of morphological covariation in the modern human postcanine dentition

Cinzia Fornai, Lisa Wurm, Viktoria A. Krenn, Gerhard W. Weber et al.
Scientific Reports
Morphological variations and asymmetry
article

3D geometric morphometric analysis of morphological covariation in the modern human postcanine dentition

Cinzia Fornai, Lisa Wurm, Viktoria A. Krenn, Gerhard W. Weber, Vanda Halász, Petra G. Šimková, Dominika Lidinsky
article en

Abstract

Analysis of 3D shape covariation patterns between different tooth types is rarely investigated but is important for human evolution, dental anthropology, and medicine. We explored shape covariation of the postcanine dentition (excluding third molars) within and between dental arches using geometric morphometrics. Based on micro-CT scans of 526 teeth from 136 individuals, we analyzed dentine crowns, considering enamel-dentine junction (EDJ) occlusal surface and cervical outlines. High pairwise correlations occurred within dental arches (lower P3-P4, r₁ = 0.89; upper P3-P4, r₁ = 0.81; upper M1-M2, r₁ = 0.86). Between antagonists, correlations varied from the highest in upper-lower M1 (r = 0.90) to the lowest in upper P4-lower M1 (r = 0.58). Unexpectedly high covariation appeared between some non-occluding teeth (lower P3-upper M2, r₁ = 0.88). Relatively high covariation also occurred between different tooth classes serving similar masticatory functions: lower P4-upper M1 (r₁ = 0.79) and upper P4-lower M1 (r₁ = 0.77). Crown height and relative proportions emerged as the main factors driving covariation within the postcanine dentition, independently from allometric effects. Overall, morphological integration is stronger within the same dental arch than between antagonistic teeth. These results provide baseline data for developmental, phylogenetic, and functional studies of the human postcanine dentition, including potential phenotype-genotype associations.

Scientific Reports
University of Vienna (AT), Institute of Science and Technology Austria (AT), University of Zurich (CH), Ludwig Boltzmann Institute for Cardiovascular Research (AT), Vienna Consulting Engineers (Austria) (AT), Fraunhofer Austria (AT), Medical University of Vienna (AT)
Austrian Science Fund
Openalex Percentile: Top 4%
Morphological variations and asymmetry
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