Statolith morphometrics can discriminate among taxa of cubozoan jellyfishes

Mooney, Christopher J., and Kingsford, Michael J. (2016) Statolith morphometrics can discriminate among taxa of cubozoan jellyfishes. PLoS ONE, 11. e0155719. pp. 1-16.

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Identification of potentially harmful cubomedusae is difficult due to their gelatinous nature. The only hard structure of medusae, the statolith, has the potential to provide robust measurements for morphometric analysis. Traditional morphometric length to width ratios (L: W) and modern morphometric Elliptical Fourier Analysis (EFA) were applied to proximal, oral and lateral statolith faces of 12 cubozoan species. EFA outperformed L: W as L: W did not account for the curvature of the statolith. Best discrimination was achieved with Canonical Discriminant Analysis (CDA) when analysing proximal + oral + lateral statolith faces in combination. Normalised Elliptical Fourier (NEF) coefficients classified 98% of samples to their correct species and 94% to family group. Statolith shape agreed with currently accepted cubozoan taxonomy. This has potential to assist in identifying levels of risk and stock structure of populations in areas where box jellyfish envenomations are a concern as the severity of envenomation is family dependent. We have only studied 12 (27%) of the 45 currently accepted cubomedusae, but analyses demonstrated that statolith shape is an effective taxonomic discriminator within the Class.

Item ID: 48451
Item Type: Article (Research - C1)
ISSN: 1932-6203
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© 2016 Mooney, Kingsford. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Funders: Australian Lions Foundation, Marine and Tropical Sciences Research Facility
Date Deposited: 17 May 2017 03:46
FoR Codes: 31 BIOLOGICAL SCIENCES > 3109 Zoology > 310913 Invertebrate biology @ 100%
SEO Codes: 96 ENVIRONMENT > 9608 Flora, Fauna and Biodiversity > 960808 Marine Flora, Fauna and Biodiversity @ 100%
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