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A novel system for classifying tooth root phenotypes
Human root and canal number and morphology are highly variable, and internal root canal form and count does not necessarily co-vary directly with external morphology. While several typologies and classifications have been developed to address individual components of teeth, there is a need for a com...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570528/ https://www.ncbi.nlm.nih.gov/pubmed/34739489 http://dx.doi.org/10.1371/journal.pone.0251953 |
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author | Gellis, Jason Foley, Robert |
author_facet | Gellis, Jason Foley, Robert |
author_sort | Gellis, Jason |
collection | PubMed |
description | Human root and canal number and morphology are highly variable, and internal root canal form and count does not necessarily co-vary directly with external morphology. While several typologies and classifications have been developed to address individual components of teeth, there is a need for a comprehensive system, that captures internal and external root features across all teeth. Using CT scans, the external and internal root morphologies of a global sample of humans are analysed (n = 945). From this analysis a method of classification that captures external and internal root morphology in a way that is intuitive, reproducible, and defines the human phenotypic set is developed. Results provide a robust definition of modern human tooth root phenotypic diversity. The method is modular in nature, allowing for incorporation of past and future classification systems. Additionally, it provides a basis for analysing hominin root morphology in evolutionary, ecological, genetic, and developmental contexts. |
format | Online Article Text |
id | pubmed-8570528 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-85705282021-11-06 A novel system for classifying tooth root phenotypes Gellis, Jason Foley, Robert PLoS One Research Article Human root and canal number and morphology are highly variable, and internal root canal form and count does not necessarily co-vary directly with external morphology. While several typologies and classifications have been developed to address individual components of teeth, there is a need for a comprehensive system, that captures internal and external root features across all teeth. Using CT scans, the external and internal root morphologies of a global sample of humans are analysed (n = 945). From this analysis a method of classification that captures external and internal root morphology in a way that is intuitive, reproducible, and defines the human phenotypic set is developed. Results provide a robust definition of modern human tooth root phenotypic diversity. The method is modular in nature, allowing for incorporation of past and future classification systems. Additionally, it provides a basis for analysing hominin root morphology in evolutionary, ecological, genetic, and developmental contexts. Public Library of Science 2021-11-05 /pmc/articles/PMC8570528/ /pubmed/34739489 http://dx.doi.org/10.1371/journal.pone.0251953 Text en © 2021 Gellis, Foley https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Gellis, Jason Foley, Robert A novel system for classifying tooth root phenotypes |
title | A novel system for classifying tooth root phenotypes |
title_full | A novel system for classifying tooth root phenotypes |
title_fullStr | A novel system for classifying tooth root phenotypes |
title_full_unstemmed | A novel system for classifying tooth root phenotypes |
title_short | A novel system for classifying tooth root phenotypes |
title_sort | novel system for classifying tooth root phenotypes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570528/ https://www.ncbi.nlm.nih.gov/pubmed/34739489 http://dx.doi.org/10.1371/journal.pone.0251953 |
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