Document Type
Article
Publication Date
10-9-2024
Keywords
finite element analysis, geometric morphometrics, phylogenetic comparative methods
Abstract
he mammalian order Primates is known for widespread sexual dimorphism in size and phenotype. Despite repeated speculation that primate sexual size dimorphism either facilitates or is in part driven by functional differences in how males and females interact with their environments, few studies have directly assessed the influence of sexual dimorphism on performance traits. Here, we use a theoretical morphology framework to show that sexual dimorphism in primate crania is associated with divergent biomechanical performance traits. The degree of dimorphism is a significant covariate in biomechanical trait divergence between sexes. Males exhibit less efficient but stiffer cranial shapes and significant evolutionary allometry in biomechanical performance, whereas females maintain performance stability across their size spectrum. Evolutionary rates are elevated for efficiency in females whereas males emphasize size-dependent cranial stiffness. These findings support a hypothesis of sex-linked bifurcation in masticatory system performance: larger male crania and faster size evolution partially compensate for low efficiency and reflect a de-emphasis of mechanical leverage, whereas female crania maintain higher mechanical efficiency overall and evolve more rapidly in molar-based masticatory performance. The evolutionary checks-and-balances between size dimorphism and cranial mechanical performance may be a more important driver of primate phenotypic evolution than has been hitherto appreciated.
Citation
Tseng, Z.J. and Terhune, C.E. (2024), Sexual Dimorphism and Divergent Evolutionary Pathways in Primate Cranial Biomechanics: Insights From a Theoretical Morphology Framework. Journal of Morphology, 285: e21780. https://doi.org/10.1002/jmor.21780
Table S1. Specimens and taxa sampled and the institutions that provided them.
jmor21780-sup-0002-tables2_landmark_info.xlsx (10 kB)
Table S2. Landmarks used in the geometric morphometric analysis.
jmor21780-sup-0003-tables3_fea_validation_data.xlsx (14 kB)
Table S3. Finite element model validation data.
jmor21780-sup-0004-tables4_pc_fea_linear_regression.xlsx (10 kB)
Table S4. Linear regression model fits for principal component axes and FEA outputs.
jmor21780-sup-0005-tables5_fea_index_data_by_species_final.xlsx (27 kB)
Table S5. Biomechanical performance indices by species.
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Comments
The data that support the findings of this study are openly available in Dryad at https://doi.org/10.5061/dryad.t76hdr870.