Larsson, J., Westram, A.M., Bengmark, S. et al. (2 more authors) (2020) A developmentally descriptive method for quantifying shape in gastropod shells. Journal of the Royal Society Interface, 17 (163). ISSN 1742-5689
Abstract
The growth of snail shells can be described by simple mathematical rules. Variation in a few parameters can explain much of the diversity of shell shapes seen in nature. However, empirical studies of gastropod shell shape variation typically use geometric morphometric approaches, which do not capture this growth pattern. We have developed a way to infer a set of developmentally descriptive shape parameters based on three-dimensional logarithmic helicospiral growth and using landmarks from two-dimensional shell images as input. We demonstrate the utility of this approach, and compare it to the geometric morphometric approach, using a large set of Littorina saxatilis shells in which locally adapted populations differ in shape. Our method can be modified easily to make it applicable to a wide range of shell forms, which would allow for investigations of the similarities and differences between and within many different species of gastropods.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2020 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
Keywords: | growth; morphometrics; snail shells; shape variation |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > School of Biosciences (Sheffield) > Department of Animal and Plant Sciences (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 02 Apr 2020 11:33 |
Last Modified: | 02 Apr 2020 11:33 |
Status: | Published |
Publisher: | Royal Society, The |
Refereed: | Yes |
Identification Number: | 10.1098/rsif.2019.0721 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:158980 |