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Geometric morphometrics of nested symmetries unravels hierarchical inter- and intra-individual variation in biological shapes

Symmetry is a pervasive feature of organismal shape and the focus of a large body of research in Biology. Here, we consider complex patterns of symmetry where a phenotype exhibits a hierarchically structured combination of symmetries. We extend the Procrustes ANOVA for the analysis of nested symmetr...

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Autores principales: Savriama, Yoland, Gerber, Sylvain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303334/
https://www.ncbi.nlm.nih.gov/pubmed/30575747
http://dx.doi.org/10.1038/s41598-018-36147-z
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author Savriama, Yoland
Gerber, Sylvain
author_facet Savriama, Yoland
Gerber, Sylvain
author_sort Savriama, Yoland
collection PubMed
description Symmetry is a pervasive feature of organismal shape and the focus of a large body of research in Biology. Here, we consider complex patterns of symmetry where a phenotype exhibits a hierarchically structured combination of symmetries. We extend the Procrustes ANOVA for the analysis of nested symmetries and the decomposition of the overall morphological variation into components of symmetry (among-individual variation) and asymmetry (directional and fluctuating asymmetry). We illustrate its use with the Aristotle’s lantern, the masticatory apparatus of ‘regular’ sea urchins, a complex organ displaying bilateral symmetry nested within five-fold rotational symmetry. Our results highlight the importance of characterising the full symmetry of a structure with nested symmetries. Higher order rotational symmetry appears strongly constrained and developmentally stable compared to lower level bilateral symmetry. This contrast between higher and lower levels of asymmetry is discussed in relation to the spatial pattern of the lantern morphogenesis. This extended framework is applicable to any biological object exhibiting nested symmetries, regardless of their type (e.g., bilateral, rotational, translational). Such cases are extremely widespread in animals and plants, from arthropod segmentation to angiosperm inflorescence and corolla shape. The method therefore widens the research scope on developmental instability, canalization, developmental modularity and morphological integration.
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spelling pubmed-63033342018-12-28 Geometric morphometrics of nested symmetries unravels hierarchical inter- and intra-individual variation in biological shapes Savriama, Yoland Gerber, Sylvain Sci Rep Article Symmetry is a pervasive feature of organismal shape and the focus of a large body of research in Biology. Here, we consider complex patterns of symmetry where a phenotype exhibits a hierarchically structured combination of symmetries. We extend the Procrustes ANOVA for the analysis of nested symmetries and the decomposition of the overall morphological variation into components of symmetry (among-individual variation) and asymmetry (directional and fluctuating asymmetry). We illustrate its use with the Aristotle’s lantern, the masticatory apparatus of ‘regular’ sea urchins, a complex organ displaying bilateral symmetry nested within five-fold rotational symmetry. Our results highlight the importance of characterising the full symmetry of a structure with nested symmetries. Higher order rotational symmetry appears strongly constrained and developmentally stable compared to lower level bilateral symmetry. This contrast between higher and lower levels of asymmetry is discussed in relation to the spatial pattern of the lantern morphogenesis. This extended framework is applicable to any biological object exhibiting nested symmetries, regardless of their type (e.g., bilateral, rotational, translational). Such cases are extremely widespread in animals and plants, from arthropod segmentation to angiosperm inflorescence and corolla shape. The method therefore widens the research scope on developmental instability, canalization, developmental modularity and morphological integration. Nature Publishing Group UK 2018-12-21 /pmc/articles/PMC6303334/ /pubmed/30575747 http://dx.doi.org/10.1038/s41598-018-36147-z Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Savriama, Yoland
Gerber, Sylvain
Geometric morphometrics of nested symmetries unravels hierarchical inter- and intra-individual variation in biological shapes
title Geometric morphometrics of nested symmetries unravels hierarchical inter- and intra-individual variation in biological shapes
title_full Geometric morphometrics of nested symmetries unravels hierarchical inter- and intra-individual variation in biological shapes
title_fullStr Geometric morphometrics of nested symmetries unravels hierarchical inter- and intra-individual variation in biological shapes
title_full_unstemmed Geometric morphometrics of nested symmetries unravels hierarchical inter- and intra-individual variation in biological shapes
title_short Geometric morphometrics of nested symmetries unravels hierarchical inter- and intra-individual variation in biological shapes
title_sort geometric morphometrics of nested symmetries unravels hierarchical inter- and intra-individual variation in biological shapes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303334/
https://www.ncbi.nlm.nih.gov/pubmed/30575747
http://dx.doi.org/10.1038/s41598-018-36147-z
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