TY - JOUR
T1 - Sea lice (Lepeophtherius salmonis) detection and quantification around aquaculture installations using environmental DNA
AU - Krolicka, Adriana
AU - Mæland Nilsen, Mari
AU - Klitgaard Hansen, Brian
AU - Wulf Jacobsen, Magnus
AU - Provan, Fiona
AU - Baussant, Thierry
PY - 2022
Y1 - 2022
N2 - The naturally occurring ectoparasite salmon lice (Lepeophtherirus salmonis)
poses a great challenge for the salmon farming industry, as well as for
wild salmonids in the Northern hemisphere. To better control the
infestation pressure and protect the production, there is a need to
provide fish farmers with sensitive and efficient tools for rapid early
detection and monitoring of the parasitic load. This can be achieved by
targeting L. salmonis DNA in environmental samples. Here, we developed and tested a new L. salmonis
specific DNA-based assay (qPCR assay) for detection and quantification
from seawater samples using an analytical pipeline compatible with the
Environmental Sample Processor (ESP) for autonomous water sample
analysis of gene targets. Specificity of the L. salmonis qPCR assay was
demonstrated through in-silico DNA analyses covering sequences of
different L. salmonis isolates. Seawater was spiked with known numbers of nauplii and copepodite free-swimming (planktonic) stages of L. salmonis
to investigate the relationship with the number of marker gene copies
(MGC). Finally, field samples collected at different times of the year
in the vicinity of a salmon production farm in Western Norway were
analyzed for L. salmonis detection and quantification. The assay specificity was high and a high correlation between MGC and planktonic stages of L. salmonis was established in the laboratory conditions. In the field, L. salmonis DNA was consequently detected, but with MGC number below that expected for one copepodite or nauplii. We concluded that only L. salmonis
tissue or eDNA residues were detected. This novel study opens for a
fully automatized L. salmonis DNA quantification using ESP robotic to
monitor the parasitic load, but challenges remain to exactly transfer
information about eDNA quantities to decisions by the farmers and
possible interventions.
AB - The naturally occurring ectoparasite salmon lice (Lepeophtherirus salmonis)
poses a great challenge for the salmon farming industry, as well as for
wild salmonids in the Northern hemisphere. To better control the
infestation pressure and protect the production, there is a need to
provide fish farmers with sensitive and efficient tools for rapid early
detection and monitoring of the parasitic load. This can be achieved by
targeting L. salmonis DNA in environmental samples. Here, we developed and tested a new L. salmonis
specific DNA-based assay (qPCR assay) for detection and quantification
from seawater samples using an analytical pipeline compatible with the
Environmental Sample Processor (ESP) for autonomous water sample
analysis of gene targets. Specificity of the L. salmonis qPCR assay was
demonstrated through in-silico DNA analyses covering sequences of
different L. salmonis isolates. Seawater was spiked with known numbers of nauplii and copepodite free-swimming (planktonic) stages of L. salmonis
to investigate the relationship with the number of marker gene copies
(MGC). Finally, field samples collected at different times of the year
in the vicinity of a salmon production farm in Western Norway were
analyzed for L. salmonis detection and quantification. The assay specificity was high and a high correlation between MGC and planktonic stages of L. salmonis was established in the laboratory conditions. In the field, L. salmonis DNA was consequently detected, but with MGC number below that expected for one copepodite or nauplii. We concluded that only L. salmonis
tissue or eDNA residues were detected. This novel study opens for a
fully automatized L. salmonis DNA quantification using ESP robotic to
monitor the parasitic load, but challenges remain to exactly transfer
information about eDNA quantities to decisions by the farmers and
possible interventions.
U2 - 10.1371/journal.pone.0274736
DO - 10.1371/journal.pone.0274736
M3 - Journal article
C2 - 36129924
SN - 1932-6203
VL - 17
JO - PLOS ONE
JF - PLOS ONE
IS - 9
M1 - e0274736
ER -