Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/33949
Appears in Collections:Aquaculture Journal Articles
Peer Review Status: Refereed
Title: A novel method for the rapid enumeration of planktonic salmon lice in a mixed zooplankton assemblage using fluorescence
Author(s): Thompson, Cameron R S
Bron, James
Bui, Samantha
Dalvin, Sussie
Fordyce, Mark John
á Norði, Gunnvor
Skern-Mauritzen, Rasmus
Keywords: Atlantic Salmon
Caligidae
Fluorescence
Lepeophtheirus salmonis
Zooplankton
Issue Date: Apr-2022
Date Deposited: 11-Feb-2022
Citation: Thompson CRS, Bron J, Bui S, Dalvin S, Fordyce MJ, á Norði G & Skern-Mauritzen R (2022) A novel method for the rapid enumeration of planktonic salmon lice in a mixed zooplankton assemblage using fluorescence. Aquaculture Research, 53 (6), pp. 2317-2329. https://doi.org/10.1111/are.15750
Abstract: The relative rarity of the planktonic larval stages of salmon lice in comparison to other animals captured in a zooplankton assemblage is an obstacle to estimating their abundance and distribution. Due to the labour intensiveness of standard plankton sorting approaches, the planktonic stages of salmon lice remain understudied and unmonitored despite their importance to the spread of the parasite between salmon farms and to wild salmonids. Alternative methods of identification have been investigated and in a previous study a fluorescence signal was identified. Using filters to target that signal with fluorescence microscopy (excitation/emission wavelengths of 470/525 nm), the salmon louse has a fluorescence intensity 2.4 times greater than non-target animals, which distinguishes it from the zooplankton assemblage and enables rapid enumeration. Here, we present a novel method for the enumeration of planktonic salmon lice larvae, nauplius and copepodid stages, in a mixed zooplankton sample using fluorescence-aided microscopy. Performance of the method was evaluated with a blind trial which found a median accuracy of 81.8% and a mean sample processing time of 31 min. Compared with previously published findings, the novel method provides satisfactory accuracy and enumeration that is more than 20 times faster than traditional light microscopy approaches. Factors influencing the performance of the method are identified and recommendations are made for targeted sampling and automated enumeration.
DOI Link: 10.1111/are.15750
Rights: © 2022 The Authors. Aquaculture Research published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
Licence URL(s): http://creativecommons.org/licenses/by-nc-nd/4.0/

Files in This Item:
File Description SizeFormat 
Thompson-etal-AquaRes-2022.pdfFulltext - Published Version796.43 kBAdobe PDFView/Open



This item is protected by original copyright



A file in this item is licensed under a Creative Commons License Creative Commons

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.