Journal
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 115, Issue 40, Pages 9905-9910Publisher
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1721248115
Keywords
insect wings; patterning; image segmentation; computational modeling; Odonata
Categories
Funding
- US Department of Energy (DOE) Computational Science Graduate Fellowship
- National Science Foundation Graduate Training Fellowships
- Applied Mathematics Program of the US DOE Office of Advanced Scientific Computing Research [DE-AC02-05CH11231]
- NSF-Simons Center for Mathematical and Statistical Analysis of Biology at Harvard University
- NSF [DMS-1764269]
- Harvard Faculty of Arts and Sciences Quantitative Biology Initiative
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Insect wings are typically supported by thickened struts called veins. These veins form diverse geometric patterns across insects. For many insect species, even the left and right wings from the same individual have veins with unique topological arrangements, and little is known about how these patterns form. We present a large-scale quantitative study of the fingerprint-like secondary veins. We compile a dataset of wings from 232 species and 17 families from the order Odonata (dragonflies and damselflies), a group with particularly elaborate vein patterns. We characterize the geometric arrangements of veins and develop a simple model of secondary vein patterning. We show that our model is capable of recapitulating the vein geometries of species from other, distantly related winged insect dades.
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