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Computational analysis of size, shape and structure of insect wings

The size, shape and structure of insect wings are intimately linked to their ability to fly. However, there are few systematic studies of the variability of the natural patterns in wing morphology across insects. We have assembled a dataset of 789 insect wings with representatives from 25 families a...

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Autores principales: Salcedo, Mary K., Hoffmann, Jordan, Donoughe, Seth, Mahadevan, L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Company of Biologists Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6826288/
https://www.ncbi.nlm.nih.gov/pubmed/31628142
http://dx.doi.org/10.1242/bio.040774
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author Salcedo, Mary K.
Hoffmann, Jordan
Donoughe, Seth
Mahadevan, L.
author_facet Salcedo, Mary K.
Hoffmann, Jordan
Donoughe, Seth
Mahadevan, L.
author_sort Salcedo, Mary K.
collection PubMed
description The size, shape and structure of insect wings are intimately linked to their ability to fly. However, there are few systematic studies of the variability of the natural patterns in wing morphology across insects. We have assembled a dataset of 789 insect wings with representatives from 25 families and performed a comprehensive computational analysis of their morphology using topological and geometric notions in terms of (i) wing size and contour shape, (ii) vein topology, and (iii) shape and distribution of wing membrane domains. These morphospaces are complementary to existing methods for quantitatively characterizing wing morphology and are likely to be useful for investigating wing function and evolution. This Methods and Techniques paper is accompanied by a set of computational tools for open use. This article has an associated First Person interview with the first author of the paper.
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spelling pubmed-68262882019-11-04 Computational analysis of size, shape and structure of insect wings Salcedo, Mary K. Hoffmann, Jordan Donoughe, Seth Mahadevan, L. Biol Open Methods and Techniques The size, shape and structure of insect wings are intimately linked to their ability to fly. However, there are few systematic studies of the variability of the natural patterns in wing morphology across insects. We have assembled a dataset of 789 insect wings with representatives from 25 families and performed a comprehensive computational analysis of their morphology using topological and geometric notions in terms of (i) wing size and contour shape, (ii) vein topology, and (iii) shape and distribution of wing membrane domains. These morphospaces are complementary to existing methods for quantitatively characterizing wing morphology and are likely to be useful for investigating wing function and evolution. This Methods and Techniques paper is accompanied by a set of computational tools for open use. This article has an associated First Person interview with the first author of the paper. The Company of Biologists Ltd 2019-10-15 /pmc/articles/PMC6826288/ /pubmed/31628142 http://dx.doi.org/10.1242/bio.040774 Text en © 2019. Published by The Company of Biologists Ltd http://creativecommons.org/licenses/by/4.0This 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 that the original work is properly attributed.
spellingShingle Methods and Techniques
Salcedo, Mary K.
Hoffmann, Jordan
Donoughe, Seth
Mahadevan, L.
Computational analysis of size, shape and structure of insect wings
title Computational analysis of size, shape and structure of insect wings
title_full Computational analysis of size, shape and structure of insect wings
title_fullStr Computational analysis of size, shape and structure of insect wings
title_full_unstemmed Computational analysis of size, shape and structure of insect wings
title_short Computational analysis of size, shape and structure of insect wings
title_sort computational analysis of size, shape and structure of insect wings
topic Methods and Techniques
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6826288/
https://www.ncbi.nlm.nih.gov/pubmed/31628142
http://dx.doi.org/10.1242/bio.040774
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