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Barcoding and Border Biosecurity: Identifying Cyprinid Fishes in the Aquarium Trade

Overview of attention for article published in PLOS ONE, January 2012
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Title
Barcoding and Border Biosecurity: Identifying Cyprinid Fishes in the Aquarium Trade
Published in
PLOS ONE, January 2012
DOI 10.1371/journal.pone.0028381
Pubmed ID
Authors

Rupert A. Collins, Karen F. Armstrong, Rudolf Meier, Youguang Yi, Samuel D. J. Brown, Robert H. Cruickshank, Suzanne Keeling, Colin Johnston

Abstract

Poorly regulated international trade in ornamental fishes poses risks to both biodiversity and economic activity via invasive alien species and exotic pathogens. Border security officials need robust tools to confirm identifications, often requiring hard-to-obtain taxonomic literature and expertise. DNA barcoding offers a potentially attractive tool for quarantine inspection, but has yet to be scrutinised for aquarium fishes. Here, we present a barcoding approach for ornamental cyprinid fishes by: (1) expanding current barcode reference libraries; (2) assessing barcode congruence with morphological identifications under numerous scenarios (e.g. inclusion of GenBank data, presence of singleton species, choice of analytical method); and (3) providing supplementary information to identify difficult species.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
India 3 1%
Spain 2 <1%
Portugal 2 <1%
Australia 1 <1%
South Africa 1 <1%
Indonesia 1 <1%
France 1 <1%
Canada 1 <1%
Other 6 3%
Unknown 202 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 22%
Researcher 40 18%
Student > Master 32 14%
Student > Bachelor 18 8%
Professor > Associate Professor 13 6%
Other 43 19%
Unknown 30 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 135 60%
Biochemistry, Genetics and Molecular Biology 21 9%
Environmental Science 12 5%
Social Sciences 5 2%
Arts and Humanities 3 1%
Other 15 7%
Unknown 34 15%