Estimating bite force in extinct dinosaurs using phylogenetically predicted physiological cross-sectional areas of jaw adductor muscles

Sakamoto, Manabu (2022) Estimating bite force in extinct dinosaurs using phylogenetically predicted physiological cross-sectional areas of jaw adductor muscles. PeerJ, 10 . e13731. ISSN 2167-8359

Full content URL: https://doi.org/10.7717/peerj.13731

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Estimating bite force in extinct dinosaurs using phylogenetically predicted physiological cross-sectional areas of jaw adductor muscles
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Abstract

I present a Bayesian phylogenetic predictive modelling (PPM) framework that allows the prediction of muscle parameters (physiological cross-sectional area, APhys) in extinct archosaurs from skull width (WSk) and phylogeny. This approach is robust to phylogenetic uncertainty and highly versatile given its ability to base predictions on simple, readily available predictor variables. The PPM presented here has high prediction accuracy (up to 95%), with downstream biomechanical modelling yielding bite force estimates that are in line with previous estimates based on muscle parameters from reconstructed muscles. This approach does not replace muscle reconstructions but one that provides a powerful means to predict APhys from skull geometry and phylogeny to the same level of accuracy as that measured from reconstructed muscles in species for which soft tissue data are unavailable or difficult to obtain.

Keywords:Bite force, Dinosaurs, Phylogenetic comparative methods, Phylogenetic predictive modelling, Physiological cross-sectional area, Biomechanics
Subjects:C Biological Sciences > C770 Biophysical Science
G Mathematical and Computer Sciences > G140 Numerical Analysis
C Biological Sciences > C182 Evolution
C Biological Sciences > C300 Zoology
F Physical Sciences > F641 Palaeontology
G Mathematical and Computer Sciences > G340 Statistical Modelling
Divisions:College of Science > School of Life and Environmental Sciences > Department of Life Sciences
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ID Code:53103
Deposited On:27 Jan 2023 15:08

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