A novel method for the rapid enumeration of planktonic salmon lice in a mixed zooplankton assemblage using fluorescence. (26th January 2022)

• Record Type: Journal Article
• Authors: Thompson, Cameron R. S.; Bron, James; Bui, Samantha; Dalvin, Sussie; Fordyce, Mark John; á Norði, Gunnvør; Skern‐Mauritzen, Rasmus
• Is Part Of: Aquaculture research. Volume 53:Number 6(2022)
• Page Start: 2317
• Page End: 2329
• Publication Date: 2022-01-26
• Subjects: Atlantic Salmon -- Caligidae -- Fluorescence -- Lepeophtheirus salmonis -- Zooplankton; Aquaculture -- Periodicals; Fishery management -- Periodicals; 639.8
• DOI: 10.1111/are.15750
• Languages: English
• ISSNs: 1355-557X

Abstract

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.