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Identification of Rays through DNA Barcoding: An Application for Ecologists

Overview of attention for article published in PLOS ONE, June 2012
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Title
Identification of Rays through DNA Barcoding: An Application for Ecologists
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0036479
Pubmed ID
Authors

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.

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Mendeley readers

The data shown below were compiled from readership statistics for 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 2 <1%
Australia 2 <1%
United Arab Emirates 1 <1%
Malaysia 1 <1%
Colombia 1 <1%
Brazil 1 <1%
India 1 <1%
Chile 1 <1%
Iceland 1 <1%
Other 3 1%
Unknown 201 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 18%
Student > Master 36 17%
Researcher 33 15%
Student > Bachelor 33 15%
Professor 10 5%
Other 33 15%
Unknown 31 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 110 51%
Environmental Science 27 13%
Biochemistry, Genetics and Molecular Biology 25 12%
Earth and Planetary Sciences 7 3%
Medicine and Dentistry 3 1%
Other 10 5%
Unknown 33 15%