V Powell
Primate modularity and evolution: first anatomical network analysis of primate head and neck musculoskeletal system
Powell, V; Esteve-Altava, B; Molnar, J; Villmoare, B; Pettit, A; Diogo, R
Authors
B Esteve-Altava
J Molnar
B Villmoare
A Pettit
R Diogo
Abstract
Network theory is increasingly being used to study morphological modularity and integration. Anatomical network analysis (AnNA) is a framework for quantitatively characterizing the topological organization of anatomical structures and providing an operational way to compare structural integration and modularity. Here we apply AnNA for the first time to study the macroevolution of the musculoskeletal system of the head and neck in primates and their closest living relatives, paying special attention to the evolution of structures associated with facial and vocal communication. We show that well-defined left and right facial modules are plesiomorphic for primates, while anthropoids consistently have asymmetrical facial modules that include structures of both sides, a change likely related to the ability to display more complex, asymmetrical facial expressions. However, no clear trends in network organization were found regarding the evolution of structures related to speech. Remarkably, the increase in the number of head and neck muscles – and thus of musculoskeletal structures – in human evolution led to a decrease in network density and complexity in humans.
Citation
Powell, V., Esteve-Altava, B., Molnar, J., Villmoare, B., Pettit, A., & Diogo, R. (2018). Primate modularity and evolution: first anatomical network analysis of primate head and neck musculoskeletal system. https://doi.org/10.1038/s41598-018-20063-3
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 10, 2018 |
Publication Date | Feb 5, 2018 |
Deposit Date | Feb 27, 2018 |
Publicly Available Date | Feb 27, 2018 |
Journal | Scientific Reports (Nature) |
Peer Reviewed | Peer Reviewed |
Volume | 8 |
Pages | 2341 |
DOI | https://doi.org/10.1038/s41598-018-20063-3 |
Public URL | https://rvc-repository.worktribe.com/output/1388845 |
Files
11218.pdf
(6.8 Mb)
PDF
Downloadable Citations
About RVC Repository
Administrator e-mail: publicationsrepos@rvc.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search