Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/10199
Appears in Collections:Aquaculture Journal Articles
Peer Review Status: Refereed
Title: Multi-centre testing and validation of current protocols for the identification of Gyrodactylus salaris (Monogenea)
Authors: Shinn, Andrew
Collins, Catherine
Garcia-Vasquez, Adriana
Snow, Mike
Matejusova, Iveta
Paladini, Giuseppe
Longshaw, Matthew
Lindenstrom, Thomas
Stone, David M
Turnbull, James
Picon-Camacho, Sara M
Vazquez-Rivera, Carlos
Duguid, Robert
Mo, Tor Atle
Hansen, Haakon
Olstad, Kjetil
Cable, Joanne
Harris, Philip D
Kerr, Rose
Graham, David A
Monaghan, Sean
Yoon, Gil Ha
Buchmann, Kurt
Taylor, Nicholas G H
Bakke, Torr A
Raynard, Robert
Irving, Stephen
Bron, James
Contact Email: aps1@stir.ac.uk
Issue Date: Oct-2010
Publisher: Elsevier
Citation: Shinn A, Collins C, Garcia-Vasquez A, Snow M, Matejusova I, Paladini G, Longshaw M, Lindenstrom T, Stone DM, Turnbull J, Picon-Camacho SM, Vazquez-Rivera C, Duguid R, Mo TA, Hansen H, Olstad K, Cable J, Harris PD, Kerr R, Graham DA, Monaghan S, Yoon GH, Buchmann K, Taylor NGH, Bakke TA, Raynard R, Irving S & Bron J (2010) Multi-centre testing and validation of current protocols for the identification of Gyrodactylus salaris (Monogenea), International Journal for Parasitology, 40 (12), pp. 1455-1467.
Abstract: Despite routine screening requirements for the notifiable fish pathogen Gyrodactylus salaris, no standard operating procedure exists for its rapid identification and discrimination from other species of Gyrodactylus. This study assessed screening and identification efficiencies under real-world conditions for the most commonly employed identification methodologies: visual, morphometric and molecular analyses. Obtained data were used to design a best-practice processing and decision-making protocol allowing rapid specimen throughput and maximal classification accuracy. True specimen identities were established using a consensus from all three identification methods, coupled with the use of host and location information. The most experienced salmonid gyrodactylid expert correctly identified 95.1% of G. salaris specimens. Statistical methods of classification identified 66.7% of the G. salaris, demonstrating the need for much wider training. Molecular techniques (internal transcribed spacer region-restriction fragment length polymorphism (ITS-RFLP)/cytochrome c oxidase I (COI) sequencing) conducted in the diagnostic laboratory most experienced in the analysis of gyrodactylid material, identified 100% of the true G. salaris specimens. Taking into account causes of potential specimen loss, the probabilities of a specimen being accurately identified were 95%, 87% and 92% for visual, morphometric and molecular techniques, respectively, and the probabilities of correctly identifying a specimen of G. salaris by each method were 81%, 58% and 92%. Inter-analyst agreement for 189 gyrodactylids assessed by all three methods using Fleiss' Kappa suggested substantial agreement in identification between the methods. During routine surveillance periods when low numbers of specimens are analysed, we recommend that specimens be analysed using the ITS-RFLP approach followed by sequencing of specimens with a "G. salaris-like" (i.e. G. salaris, Gyrodactylus thymalli) banding pattern. During periods of suspected outbreaks, where a high volume of specimens is expected, we recommended that specimens be identified using visual identification, as the fastest processing method, to select "G. salaris-like" specimens, which are subsequently identified by molecular-based techniques.
Type: Journal Article
URI: http://hdl.handle.net/1893/10199
DOI Link: http://dx.doi.org/10.1016/j.ijpara.2010.04.016
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Affiliation: Aquaculture
FRS Marine Laboratory
University of Stirling
FRS Marine Laboratory
FRS Marine Laboratory
Aquaculture
Centre for Environment, Fisheries and Aquaculture Science (CEFAS)
Statens Serum Institute
Centre for Environment, Fisheries and Aquaculture Science (CEFAS)
Aquaculture
University of Stirling
University of Stirling
Aquaculture
National Veterinary Institute, Oslo
National Veterinary Institute, Oslo
University of Oslo
Cardiff University
University of Oslo
Centre for Environment, Fisheries and Aquaculture Science (CEFAS)
Agri-food & Biosciences Institute
Aquaculture
Aquaculture
University of Copenhagen
Centre for Environment, Fisheries and Aquaculture Science (CEFAS)
University of Oslo
FRS Marine Laboratory
Centre for Environment, Fisheries and Aquaculture Science (CEFAS)
Aquaculture

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