Literature DB >> 9740307

Technical note: Modeling primate occlusal topography using geographic information systems technology.

L F Zuccotti1, M D Williamson, W F Limp, P S Ungar.   

Abstract

Most functional analyses of primate tooth form have been limited to linear or area measurements. Such studies have offered but a limited glimpse at differences in occlusal relief among taxa. Such differences in dental topography may relate to tooth function and, so, have considerable implications for the inference of diet from fossil teeth. In this article, we describe a technique to model and compare primate molars in three dimensions using Geographic Resources Analysis Support System (GRASS) software. We examine unworn lower second molars of three extant hominoids with known differences in diet (Gorilla gorilla, Pan troglodytes, and Pongo pygmaeus), and two fossil forms, (Afropithecus turkanesis and Dryopithecus laietanus). First, we obtained approximately 400 landmarks on the occlusal surfaces of each tooth using an electromagnetic digitizer. Raster "terrain models" of occlusal surfaces were then created by interpolation of the coordinate data. We used GRASS terrain analysis automated techniques to quantify the volumes and slopes of individual cusps. We also used the GRASS watershed technique to identify the volume of liquid that would accumulate in each tooth's basin (a measure of basin area), and the directions and intensity of drainage over the occlusal surface. In sum, GRASS shows considerable potential for the characterization and comparison of tooth surfaces. Furthermore, techniques described here are not limited to the study of teeth, but may be broadly applicable to studies of skulls, joints, and other biological structures.

Entities:  

Mesh:

Year:  1998        PMID: 9740307     DOI: 10.1002/(SICI)1096-8644(199809)107:1<137::AID-AJPA11>3.0.CO;2-1

Source DB:  PubMed          Journal:  Am J Phys Anthropol        ISSN: 0002-9483            Impact factor:   2.868


  10 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2000-12-19       Impact factor: 11.205

Review 2.  Investigating human evolutionary history.

Authors:  B Wood
Journal:  J Anat       Date:  2000-07       Impact factor: 2.610

3.  A solution to the worn tooth conundrum in primate functional anatomy.

Authors:  Peter S Ungar; Francis M'Kirera
Journal:  Proc Natl Acad Sci U S A       Date:  2003-03-12       Impact factor: 11.205

4.  Dental senescence in a long-lived primate links infant survival to rainfall.

Authors:  Stephen J King; Summer J Arrigo-Nelson; Sharon T Pochron; Gina M Semprebon; Laurie R Godfrey; Patricia C Wright; Jukka Jernvall
Journal:  Proc Natl Acad Sci U S A       Date:  2005-10-31       Impact factor: 11.205

5.  Prospective in (Primate) dental analysis through tooth 3D topographical quantification.

Authors:  Franck Guy; Florent Gouvard; Renaud Boistel; Adelaïde Euriat; Vincent Lazzari
Journal:  PLoS One       Date:  2013-06-24       Impact factor: 3.240

6.  Geographic information system (GIS)-based image analysis for assessing growth of Physarum polycephalum on a solid medium.

Authors:  Hanh T M Tran; Steven L Stephenson; Jason A Tullis
Journal:  Fungal Biol Biotechnol       Date:  2015-11-19

7.  Ambient occlusion and PCV (portion de ciel visible): A new dental topographic metric and proxy of morphological wear resistance.

Authors:  Michael A Berthaume; Julia Winchester; Kornelius Kupczik
Journal:  PLoS One       Date:  2019-05-01       Impact factor: 3.240

Review 8.  The landscape of tooth shape: Over 20 years of dental topography in primates.

Authors:  Michael A Berthaume; Vincent Lazzari; Franck Guy
Journal:  Evol Anthropol       Date:  2020-07-20

9.  Automated 3D phenotype analysis using data mining.

Authors:  Ilya Plyusnin; Alistair R Evans; Aleksis Karme; Aristides Gionis; Jukka Jernvall
Journal:  PLoS One       Date:  2008-03-05       Impact factor: 3.240

10.  Effects of cropping, smoothing, triangle count, and mesh resolution on 6 dental topographic metrics.

Authors:  Michael A Berthaume; Julia Winchester; Kornelius Kupczik
Journal:  PLoS One       Date:  2019-05-06       Impact factor: 3.240

  10 in total

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