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Local Superimpositions Facilitate Morphometric Analysis of Complex Articulating Structures
Articulating structures, such as the vertebrate skeleton or the segmented arthropod exoskeleton, comprise a majority of the morphological diversity across the eukaryotic tree of life. Quantifying the form of articulating structures is therefore imperative for a fuller understanding of the factors in...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8699094/ https://www.ncbi.nlm.nih.gov/pubmed/33905523 http://dx.doi.org/10.1093/icb/icab031 |
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author | Rhoda, Daniel Segall, Marion Larouche, Olivier Evans, Kory Angielczyk, Kenneth D |
author_facet | Rhoda, Daniel Segall, Marion Larouche, Olivier Evans, Kory Angielczyk, Kenneth D |
author_sort | Rhoda, Daniel |
collection | PubMed |
description | Articulating structures, such as the vertebrate skeleton or the segmented arthropod exoskeleton, comprise a majority of the morphological diversity across the eukaryotic tree of life. Quantifying the form of articulating structures is therefore imperative for a fuller understanding of the factors influencing biological form. A wealth of freely available 3D data capturing this morphological diversity is stored in online repositories such as Morphosource, but the geometric morphometric analysis of an articulating structure is impeded by arbitrary differences in the resting positions of its individual articulating elements. In complex articulating structures, where the angles between articulating elements cannot be standardized, landmarks on articulating elements must be Procrustes superimposed independently (locally) and then recombined to quantify variation in the entire articulating structure simultaneously. Here, we discuss recent advances in local superimposition techniques, namely the “matched local superimpositions” approach, which incorporates anatomically accurate relative sizes, positions, and orientations of locally-superimposed landmarks, enabling clearer biological interpretation. We also use simulations to evaluate the consequences of choice of superimposition approach. Our results show that local superimpositions will isolate shape variation within locally-superimposed landmark subsets by sacrificing size and positional variation. They may also create morphometric “modules” when there are none by increasing integration within the locally-superimposed subsets; however, this effect is no greater than the spurious between-module integration created when superimposing landmark subsets (i.e., articulating elements) together. Taken together, our results show that local superimposition techniques differ from conventional Procrustes superimpositions in predictable ways. Finally, we use empirical datasets of the skulls of wrasses and colubriform snakes to highlight the promise of local superimpositions and their utility. Complex articulating structures must be studied, and the only current solution to do so is local superimpositions. |
format | Online Article Text |
id | pubmed-8699094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-86990942022-01-04 Local Superimpositions Facilitate Morphometric Analysis of Complex Articulating Structures Rhoda, Daniel Segall, Marion Larouche, Olivier Evans, Kory Angielczyk, Kenneth D Integr Comp Biol Invited Paper Articulating structures, such as the vertebrate skeleton or the segmented arthropod exoskeleton, comprise a majority of the morphological diversity across the eukaryotic tree of life. Quantifying the form of articulating structures is therefore imperative for a fuller understanding of the factors influencing biological form. A wealth of freely available 3D data capturing this morphological diversity is stored in online repositories such as Morphosource, but the geometric morphometric analysis of an articulating structure is impeded by arbitrary differences in the resting positions of its individual articulating elements. In complex articulating structures, where the angles between articulating elements cannot be standardized, landmarks on articulating elements must be Procrustes superimposed independently (locally) and then recombined to quantify variation in the entire articulating structure simultaneously. Here, we discuss recent advances in local superimposition techniques, namely the “matched local superimpositions” approach, which incorporates anatomically accurate relative sizes, positions, and orientations of locally-superimposed landmarks, enabling clearer biological interpretation. We also use simulations to evaluate the consequences of choice of superimposition approach. Our results show that local superimpositions will isolate shape variation within locally-superimposed landmark subsets by sacrificing size and positional variation. They may also create morphometric “modules” when there are none by increasing integration within the locally-superimposed subsets; however, this effect is no greater than the spurious between-module integration created when superimposing landmark subsets (i.e., articulating elements) together. Taken together, our results show that local superimposition techniques differ from conventional Procrustes superimpositions in predictable ways. Finally, we use empirical datasets of the skulls of wrasses and colubriform snakes to highlight the promise of local superimpositions and their utility. Complex articulating structures must be studied, and the only current solution to do so is local superimpositions. Oxford University Press 2021-04-27 /pmc/articles/PMC8699094/ /pubmed/33905523 http://dx.doi.org/10.1093/icb/icab031 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Invited Paper Rhoda, Daniel Segall, Marion Larouche, Olivier Evans, Kory Angielczyk, Kenneth D Local Superimpositions Facilitate Morphometric Analysis of Complex Articulating Structures |
title | Local Superimpositions Facilitate Morphometric Analysis of Complex Articulating Structures |
title_full | Local Superimpositions Facilitate Morphometric Analysis of Complex Articulating Structures |
title_fullStr | Local Superimpositions Facilitate Morphometric Analysis of Complex Articulating Structures |
title_full_unstemmed | Local Superimpositions Facilitate Morphometric Analysis of Complex Articulating Structures |
title_short | Local Superimpositions Facilitate Morphometric Analysis of Complex Articulating Structures |
title_sort | local superimpositions facilitate morphometric analysis of complex articulating structures |
topic | Invited Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8699094/ https://www.ncbi.nlm.nih.gov/pubmed/33905523 http://dx.doi.org/10.1093/icb/icab031 |
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