Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/76113
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Type: Journal article
Title: Identification of rays through DNA barcoding: an application for ecologists
Author: Cerutti-Pereyra, F.
Meekan, M.
Wei, N.
O'Shea, O.
Bradshaw, C.
Austin, C.
Citation: PLoS One, 2012; 7(6):1-10
Publisher: Public Library of Science
Issue Date: 2012
ISSN: 1932-6203
1932-6203
Statement of
Responsibility: 
Florencia Cerutti-Pereyra, Mark G. Meekan, Nu-Wei V. Wei, Owen O'Shea, Corey J.A. Bradshaw, Chris M. Austin
Abstract: DNA barcoding potentially offers scientists who are not expert taxonomists a powerful tool to support the accuracy of field studies involving taxa that are diverse and difficult to identify. The taxonomy of rays has received reasonable attention in Australia, although the fauna in remote locations such as Ningaloo Reef, Western Australia is poorly studied and the identification of some species in the field is problematic. Here, we report an application of DNA-barcoding to the identification of 16 species (from 10 genera) of tropical rays as part of an ecological study. Analysis of the dataset combined across all samples grouped sequences into clearly defined operational taxonomic units, with two conspicuous exceptions: the Neotrygon kuhlii species complex and the Aetobatus species complex. In the field, the group that presented the most difficulties for identification was the spotted whiptail rays, referred to as the ‘uarnak’ complex. Two sets of problems limited the successful application of DNA barcoding: (1) the presence of cryptic species, species complexes with unresolved taxonomic status and intra-specific geographical variation, and (2) insufficient numbers of entries in online databases that have been verified taxonomically, and the presence of lodged sequences in databases with inconsistent names. Nevertheless, we demonstrate the potential of the DNA barcoding approach to confirm field identifications and to highlight species complexes where taxonomic uncertainty might confound ecological data.
Keywords: Animals; Skates (Fish); DNA Primers; Cluster Analysis; Bayes Theorem; Sequence Analysis, DNA; Evolution, Molecular; Phylogeny; Species Specificity; Base Sequence; Models, Genetic; Molecular Sequence Data; Western Australia; DNA Barcoding, Taxonomic
Rights: Copyright: © 2012 Cerutti-Pereyra et al. 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.
RMID: 0020120233
DOI: 10.1371/journal.pone.0036479
Appears in Collections:Environment Institute Leaders publications

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