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Scan, extract, wrap, compute—a 3D method to analyse morphological shape differences

Quantitative analysis of shape and form is critical in many biological disciplines, as context-dependent morphotypes reflect changes in gene expression and physiology, e.g., in comparisons of environment-dependent phenotypes, forward/reverse genetic assays or shape development during ontogenesis. 3D...

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Detalles Bibliográficos
Autores principales: Horstmann, Martin, Topham, Alexander T., Stamm, Petra, Kruppert, Sebastian, Colbourne, John K., Tollrian, Ralph, Weiss, Linda C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5995102/
https://www.ncbi.nlm.nih.gov/pubmed/29900069
http://dx.doi.org/10.7717/peerj.4861
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author Horstmann, Martin
Topham, Alexander T.
Stamm, Petra
Kruppert, Sebastian
Colbourne, John K.
Tollrian, Ralph
Weiss, Linda C.
author_facet Horstmann, Martin
Topham, Alexander T.
Stamm, Petra
Kruppert, Sebastian
Colbourne, John K.
Tollrian, Ralph
Weiss, Linda C.
author_sort Horstmann, Martin
collection PubMed
description Quantitative analysis of shape and form is critical in many biological disciplines, as context-dependent morphotypes reflect changes in gene expression and physiology, e.g., in comparisons of environment-dependent phenotypes, forward/reverse genetic assays or shape development during ontogenesis. 3D-shape rendering methods produce models with arbitrarily numbered, and therefore non-comparable, mesh points. However, this prevents direct comparisons. We introduce a workflow that allows the generation of comparable 3D models based on several specimens. Translocations between points of modelled morphotypes are plotted as heat maps and statistically tested. With this workflow, we are able to detect, model and investigate the significance of shape and form alterations in all spatial dimensions, demonstrated with different morphotypes of the pond-dwelling microcrustacean Daphnia. Furthermore, it allows the detection even of inconspicuous morphological features that can be exported to programs for subsequent analysis, e.g., streamline- or finite-element analysis.
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spelling pubmed-59951022018-06-13 Scan, extract, wrap, compute—a 3D method to analyse morphological shape differences Horstmann, Martin Topham, Alexander T. Stamm, Petra Kruppert, Sebastian Colbourne, John K. Tollrian, Ralph Weiss, Linda C. PeerJ Computational Biology Quantitative analysis of shape and form is critical in many biological disciplines, as context-dependent morphotypes reflect changes in gene expression and physiology, e.g., in comparisons of environment-dependent phenotypes, forward/reverse genetic assays or shape development during ontogenesis. 3D-shape rendering methods produce models with arbitrarily numbered, and therefore non-comparable, mesh points. However, this prevents direct comparisons. We introduce a workflow that allows the generation of comparable 3D models based on several specimens. Translocations between points of modelled morphotypes are plotted as heat maps and statistically tested. With this workflow, we are able to detect, model and investigate the significance of shape and form alterations in all spatial dimensions, demonstrated with different morphotypes of the pond-dwelling microcrustacean Daphnia. Furthermore, it allows the detection even of inconspicuous morphological features that can be exported to programs for subsequent analysis, e.g., streamline- or finite-element analysis. PeerJ Inc. 2018-06-08 /pmc/articles/PMC5995102/ /pubmed/29900069 http://dx.doi.org/10.7717/peerj.4861 Text en ©2018 Horstmann et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Computational Biology
Horstmann, Martin
Topham, Alexander T.
Stamm, Petra
Kruppert, Sebastian
Colbourne, John K.
Tollrian, Ralph
Weiss, Linda C.
Scan, extract, wrap, compute—a 3D method to analyse morphological shape differences
title Scan, extract, wrap, compute—a 3D method to analyse morphological shape differences
title_full Scan, extract, wrap, compute—a 3D method to analyse morphological shape differences
title_fullStr Scan, extract, wrap, compute—a 3D method to analyse morphological shape differences
title_full_unstemmed Scan, extract, wrap, compute—a 3D method to analyse morphological shape differences
title_short Scan, extract, wrap, compute—a 3D method to analyse morphological shape differences
title_sort scan, extract, wrap, compute—a 3d method to analyse morphological shape differences
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5995102/
https://www.ncbi.nlm.nih.gov/pubmed/29900069
http://dx.doi.org/10.7717/peerj.4861
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