Evaluating bony predictors of bite force across the order Carnivora.


Journal

Journal of morphology
ISSN: 1097-4687
Titre abrégé: J Morphol
Pays: United States
ID NLM: 0406125

Informations de publication

Date de publication:
10 2021
Historique:
revised: 30 06 2021
received: 19 05 2021
accepted: 18 07 2021
pubmed: 28 7 2021
medline: 26 11 2021
entrez: 27 7 2021
Statut: ppublish

Résumé

In carnivorans, bite force is a critical and ecologically informative variable that has been correlated with multiple morphological, behavioral, and environmental attributes. Whereas in vivo measures of biting performance are difficult to obtain in many taxa-and impossible in extinct species-numerous osteological proxies exist for estimating masticatory muscle size and force. These proxies include both volumetric approximations of muscle dimensions and direct measurements of muscular attachment sites. In this study, we compare three cranial osteological techniques for estimating muscle size (including 2D-photographic and 3D-surface data approaches) against dissection-derived muscle weights and physiological cross-sectional area (PCSA) within the jaw adductor musculature of 40 carnivoran taxa spanning eight families, four orders of magnitude in body size, and the full dietary spectrum of the order. Our results indicate that 3D-approaches provide more accurate estimates of muscle size than do surfaces measured from 2D-lateral photographs. However, estimates of a muscle's maximum cross-sectional area are more closely correlated with muscle mass and PCSA than any estimates derived from muscle attachment areas. These findings highlight the importance of accounting for muscle thickness in osteological estimations of the masticatory musculature; as muscles become volumetrically larger, their larger cross-sectional area does not appear to be associated with a proportional increase in the attachment site area. Though volumetric approaches approximate muscle dimensions well across the order as a whole, caution should be exercised when applying any single method as a predictor across diverse phylogenies.

Identifiants

pubmed: 34313337
doi: 10.1002/jmor.21400
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1499-1513

Informations de copyright

© 2021 Wiley Periodicals LLC.

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Auteurs

Edwin Dickinson (E)

Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA.

Jillian S Davis (JS)

Pathology, Anatomy, and Laboratory Medicine Department, West Virginia University School of Medicine, Morgantown, West Virginia, USA.

Ashley R Deutsch (AR)

Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA.

Dhuru Patel (D)

Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA.

Akash Nijhawan (A)

Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA.

Meet Patel (M)

Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA.

Abby Blume (A)

Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA.

Jordan L Gannon (JL)

Biology Department, High Point University, High Point, North Carolina, USA.

Cassandra M Turcotte (CM)

Department of Anthropology, New York University, New York, New York, USA.
New York Consortium in Evolutionary Primatology, New York, New York, USA.

Christopher S Walker (CS)

Department of Molecular Biomedical Sciences, North Carolina State University, Raleigh, North Carolina, USA.

Adam Hartstone-Rose (A)

Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA.

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