Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-26T04:43:45.553Z Has data issue: false hasContentIssue false

Repeated exposure affects susceptibility and responses of Atlantic salmon (Salmo salar) towards the ectoparasitic salmon lice (Lepeophtheirus salmonis)

Published online by Cambridge University Press:  14 September 2023

Mathias Stølen Ugelvik*
Affiliation:
Institute of Marine Research, Bergen, Norway Department of Biological Sciences, University of Bergen, Bergen, Norway
Adele Mennerat
Affiliation:
Department of Biological Sciences, University of Bergen, Bergen, Norway
Stig Mæhle
Affiliation:
Institute of Marine Research, Bergen, Norway
Sussie Dalvin
Affiliation:
Institute of Marine Research, Bergen, Norway
*
Corresponding author: Mathias Stølen Ugelvik; Email: mathias.s.ugelvik@uib.no

Abstract

Atlantic salmon (Salmo salar) is repeatedly exposed to and infected with ectoparasitic salmon lice (Lepeophtheirus salmonis) both in farms and in nature. However, this is not reflected in laboratory experiments where fish typically are infected only once. To investigate if a previous lice infection affects host response to subsequent infections, fish received 4 different experimental treatments; including 2 groups of fish that had previously been infected either with adult or infective salmon lice larvae (copepodids). Thereafter, fish in all treatment groups were infected with either a double or a single dose of copepodids originating from the same cohort. Fish were sampled when lice had developed into the chalimus, the pre-adult and the adult stage, respectively. Both the specific growth rate and cortisol levels (i.e. a proxy for stress) of the fish differed between treatments. Lice success (i.e. ability to infect and survive on the host) was higher in naïve than in previously infected fish (pre-adult stage). The expression of immune and wound healing transcripts in the skin also differed between treatments, and most noticeable was a higher upregulation early in the infection in the group previously infected with copepodids. However, later in the infection, the least upregulation was observed in this group, suggesting that previous exposure to salmon lice affects the response of Atlantic salmon towards subsequent lice infections.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

Introduction

Parasites are ubiquitous in nature (Shaw et al., Reference Shaw, Grenfell and Dobson1998) and a widespread feature of most populations is parasite aggregation, where few hosts carry high parasite loads while most hosts harbour few or none (Anderson and May, Reference Anderson and May1978; Anderson and Gordon, Reference Anderson and Gordon1982; Shaw and Dobson, Reference Shaw and Dobson1995; Shaw et al., Reference Shaw, Grenfell and Dobson1998; Poulin, Reference Poulin2007). Although a significant part of this heterogeneity may be constrained by average infection levels and sampling effort (Poulin, Reference Poulin2013), explaining the remaining variation can be of considerable interest, especially for those host–parasite associations with high medical or economic importance. The most frequently invoked causes of heterogeneity in parasite loads are spatial and temporal variation in the distribution of infective stages (Bandilla et al., Reference Bandilla, Hakalahti, Hudson and Valtonen2005; Poulin, Reference Poulin2013), including seasonal and climatic variation (Altizer et al., Reference Altizer, Dobson, Hosseini, Hudson, Pascual and Rohani2006; Lass and Ebert, Reference Lass and Ebert2006; Mennerat et al., Reference Mennerat, Charmantier, Perret, Hurtrez-Boussès and Lambrechts2021), but also variation in behaviour, condition or immunity of individual hosts (Lysne and Skorping, Reference Lysne and Skorping2002; Wilson et al., Reference Wilson, Bjørnstad, Dobson, Merler, Poglayen, R, Read, Skorping, Hudson, Rizzoli, Grenfell, Heesterbeek and Dobson2002; Beldomenico and Begon, Reference Beldomenico and Begon2010; Sarabian et al., Reference Sarabian, Curtis and McMullan2018).

Another factor contributing to parasite aggregation is the modulation of host immune responses by parasites once established on their hosts. Immune suppression by parasites resulting in higher parasite intensities, or immune stimulation reducing the levels of new infections can both affect the degree of parasite aggregation (Cox, Reference Cox2001). The adaptive benefits of immune modulation for parasites likely depend on the characteristics of each host–parasite association. For sexual parasites typically found at low intensities, the facilitating effects of immune suppression may improve mating opportunities (Cox, Reference Cox2001; Ugelvik et al., Reference Ugelvik, Mo, Mennerat and Skorping2017a). Conversely, stimulation of immune responses against younger stages by established parasites may help limit the reproductive cost incurred by on-host competition (Selvan et al., Reference Selvan, Campbell and Gaugler1993; Churcher et al., Reference Churcher, Filipe and Basanez2006; Hoffmann et al., Reference Hoffmann, Horak, Bennett and Lutermann2016; Ugelvik et al., Reference Ugelvik, Skorping and Mennerat2017b).

One way of investigating whether parasites stimulate or dampen host responses is to infect the same hosts repeatedly in laboratory conditions, where exposure is more homogenous than under natural conditions. An upregulation of immune responses should be reflected in a decrease in parasite loads across consecutive infections, while an increase in the success of repeated infections leading to parasite build-up would be expected if parasite suppress the immune responses of the host.

Here we address this question using the salmon louse (Lepeophtheirus salmonis), an ectoparasite of salmonid fishes. Infection with the parasite causes a well-described immune response in the skin also in susceptible species such as Atlantic salmon (Salmo salar) and rainbow trout (Oncorhynchus mykiss) (Braden et al., Reference Braden, Koop and Jones2015; Dalvin et al., Reference Dalvin, Jørgensen, Kania, Grotmol, Buchmann and Øvergård2020; Ugelvik et al., Reference Ugelvik, Mæhle and Dalvin2022; Ugelvik and Dalvin, Reference Ugelvik and Dalvin2022; Øvergård et al., Reference Øvergård, Eichner, Nuñez-Ortiz, Kongshaug, Borchel and Dalvin2023). Salmon lice display aggregation on wild Atlantic salmon hosts in the northern Atlantic Ocean (Jacobsen and Gaard, Reference Jacobsen and Gaard1997; Torrissen et al., Reference Torrissen, Jones, Asche, Guttormsen, Skilbrei, Nilsen, Horsberg and Jackson2013). The presence of several developmental stages on hosts caught at sea and the correlation between lice intensities and host age indicate that repeated infections occur naturally in this host–parasite system (Jacobsen and Gaard, Reference Jacobsen and Gaard1997). According to an earlier study, hosts carrying adult lice from a previous infection acquire higher parasite loads, than naïve hosts, although the common garden nature of the experiment did not allow to exclude preferential settlement of parasites as a possible explanation. Intriguingly, the number of new lice was correlated with the number of adult lice already present on the fish, and this relationship vanished when the adult were removed from the fish prior to the second infection (Ugelvik et al., Reference Ugelvik, Mo, Mennerat and Skorping2017a). One suggested explanation is that secretions produced by adult salmon lice may have immune regulatory effects (Fast et al., Reference Fast, Johnson, Eddy, Pinto and Ross2007; Øvergård et al., Reference Øvergård, Midtbø, Hamre, Dondrup, Bjerga, Larsen, Chettri, Buchmann, Nilsen and Grotmol2022), but the underlying changes in gene expression have not been established.

To test how previous exposure affects host responses to subsequent infection, Atlantic salmon with various infection histories were here experimentally exposed to infective salmon lice larvae (copepodids) and transcriptional changes, host weight, cortisol levels and parasite loads were assessed until the parasites reached the adult stage. In line with earlier findings, we expected fish carrying adult lice to acquire more lice than naïve fish. Also, salmon lice infection should cause a marked alteration in the expression of genes involved in the immune response and wound healing in the host skin, compared to non-infected control fish. Immune regulation should also be more pronounced in fish with a longer lasting infection (i.e. longer time for the parasite to modulate the hosts’ immune response) than in fish more recently infected. Finally, immune regulation by the louse should be more pronounced in fish that carried many (i.e. more lice modulating the hosts’ immune response), than in those that carried few lice.

Materials and methods

Study species

Salmon lice have a direct life cycle, consisting of 8 successively larger developmental stages (Hamre et al., Reference Hamre, Eichner, Caipang, Dalvin, Bron, Nilsen, Boxshall and Skern-Mauritzen2013). The infection starts when copepodids attach to a host and develop through 2 sedentary stages (chalimi), then moulting into mobile pre-adults, before becoming sexually mature adult male or female lice (Hamre et al., Reference Hamre, Eichner, Caipang, Dalvin, Bron, Nilsen, Boxshall and Skern-Mauritzen2013). The salmon louse feeds on host blood, skin and mucus and thereby causes damage to the skin (Grimnes and Jakobsen, Reference Grimnes and Jakobsen1996). This results in disturbances to the osmotic balance (Fjelldal et al., Reference Fjelldal, Hansen and Karlsen2020), increases the likelihood of secondary infections (Nylund et al., Reference Nylund, Hovland, Hodneland and Nilsen1994; Mustafa et al., Reference Mustafa, Speare, Daley, Conboy and Burka2000; Barker et al., Reference Barker, Bricknell, Covello, Purcell, Fast, Wolters and Bouchard2019), reduces host body growth (Mennerat et al., Reference Mennerat, Hamre, Ebert, Nilsen, Davidova and Skorping2012; Ugelvik et al., Reference Ugelvik, Skorping, Moberg and Mennerat2017c) and enhances host mortality at high lice intensities (Grimnes and Jakobsen, Reference Grimnes and Jakobsen1996; Fjelldal et al., Reference Fjelldal, Hansen and Karlsen2020). Pathogenicity (i.e. the extent to which lice cause disease in the host) increases with parasite load but also depends on the developmental stage of the louse, with negative impacts becoming more evident as the lice develop into mobile pre-adults (Grimnes and Jakobsen, Reference Grimnes and Jakobsen1996; Fjelldal et al., Reference Fjelldal, Hansen and Karlsen2020). This seems in part related to changes in gene expression (Eichner et al., Reference Eichner, Dondrup and Nilsen2018), exocrine gland development (Øvergård et al., Reference Øvergård, Hamre, Harasimczuk, Dalvin, Nilsen and Grotmol2016) and to the fact that bigger lice and especially adult females divert significant resources into egg production (Mennerat et al., Reference Mennerat, Hamre, Ebert, Nilsen, Davidova and Skorping2012).

Salmon lice are generalists, i.e. they are found on multiple Atlantic (genera Salmo and Salvelinus) and Pacific Ocean (genus Oncorhynchus) salmonid species that differ considerably in their level of resistance against the parasite. These patterns are mostly attributed to interspecific variation in immunity amongst host species (Mackinnon, Reference Mackinnon1998; Jones et al., Reference Jones, Fast, Johnson and Groman2007; Braden et al., Reference Braden, Barker, Koop and Jones2012, Reference Braden, Koop and Jones2015), although they might also reflect genetic differentiation of the parasites between the Pacific and Atlantic Oceans (Skern-Mauritzen et al., Reference Skern-Mauritzen, Torrissen and Glover2014). The mechanisms conveying resistance to salmon lice also differ among host species. For instance, rapid rejection of the parasite in young pink salmon (Oncorhynchus gorbuscha) is mediated by proinflammatory responses (Jones et al., Reference Jones, Fast, Johnson and Groman2007), while resistance in Coho salmon (Oncorhynchus kisutch) is associated with epithelial hyperplasia (Johnson and Albright, Reference Johnson and Albright1992). Amongst salmonid host species, Atlantic salmon is the highly susceptible to salmon lice (Braden et al., Reference Braden, Koop and Jones2015). Within this host species, differences in resistance among families indicate genetic variation for this trait (Glover et al., Reference Glover, Aasmundstad, Nilsen, Storset and Skaala2005; Kolstad, Reference Kolstad2005; Gjerde et al., Reference Gjerde, Ødegård and Thorland2011). Immune suppression in the host was previously suggested (Fast et al., Reference Fast, Johnson, Eddy, Pinto and Ross2007; Øvergård et al., Reference Øvergård, Hamre, Harasimczuk, Dalvin, Nilsen and Grotmol2016; Braden et al., Reference Braden, Monaghan and Fast2020), but the underlying mechanisms remain unknown (Eichner et al., Reference Eichner, Øvergård, Nilsen and Dalvin2015; Hamilton et al., Reference Hamilton, McLean, Monaghan, McNair, Inglis, McDonald, Adams, Richards, Roy, Smith, Bron, Nisbet and Knox2018; Dalvin et al., Reference Dalvin, Eichner, Dondrup and Øvergård2021).

Experimental set-up

General principle

At the start of the experiment, 320 Atlantic salmon from the same cohort (Aquagen strain) were sedated and tagged with a passive integrated transponder tag (PIT tag). Their weight was recorded [217 g (±1.5 s.e.)] before the fish were randomly divided into 16 600 L tanks (4 replicate tanks per treatment). Tanks were arbitrarily assigned to either of the 4 treatment groups differing in their infection history (naïve or previously infected hosts; see details below). These 4 treatment groups were then exposed to infective salmon lice larvae (copepodids) from a common pool and the development of parasites monitored. Throughout the experiment, fish were maintained in 12°C sea water, 35 ppt salinity. Fish were sedated by carefully netting them into a bucket containing 15 mg L−1 Finquel (tricaine mesylate) in 10 L of sea water. Parasite load was recorded on the sampled fish at the chalimus, pre-adult and adult stage (sampling I, II and III at 11, 20 and 30 days post-exposure, respectively). At each sampling, the fish were weighed, and blood and skin samples were taken to measure plasma cortisol levels (as a measure of stress levels) and immune and wound healing gene transcription, respectively.

Treatment groups

The purpose of the study was specifically to describe how previous exposure affects host responses to subsequent infection. Hence, groups of fish (80 individuals) were infected in 3 different ways and compared to fish infected only once with a single dose of infective copepodids (60 copepodids per fish), thereafter referred to as the ‘Cop’ group. Fish in the second group (thereafter ‘Copx2’) were infected once with a double dose of infective copepodids (120 copepodids per fish). In the third group (thereafter ‘Copcop’), fish were infected twice with a single dose (60 copepodids per fish), with a 30-day interval between the 2 exposures. Lastly, the fourth group (thereafter ‘Aducop’ group) adult lice were first placed on the fish (4 females and 3 males per fish), and 7 days later, these fish were exposed to a single infective dose (60 copepodids per fish).

Infection procedure

The copepodids and adult lice used in the experiment were collected from naturally infected Atlantic salmon held at a commercial fish farm in Masfjorden (Norway) and kept in the laboratory in seawater at 12°C at 35 ppt salinity for 1 generation prior to the infection. All infections with copepodids were done by lowering the water level to one-third of its volume and adding infective salmon lice copepodids to the tanks. The inflow of water was maintained (12 L min1), but the outlet was blocked until normal water level was restored. Only fish in the Copcop group were infected with copepodids in the first infection, while the other 3 treatment groups were sham infected (i.e. treated similarly to the Copcop group, but no copepodids were poured into the water).

Seven days prior to the second infection, all fish were individually sedated, identified by the PIT tag and their weights recorded. In the Copcop group, the parasite loads resulting from the first infection were also recorded. In the Aducop groups, adult lice reared on another batch of Atlantic salmon were carefully placed directly onto the fish. All fish were returned to their respective tanks. Finally, 30 days after the first infection of fish in the Copcop group, fish belonging to all treatment groups were infected either with a double (Copx2) or a single dose (Cop, Copcop and Aducop groups) of copepodids from the same cohort.

Sampling procedure

For each sampling, 5 fish from each tank (in total 20 fish per treatment group) were carefully netted and sedated, the PIT tag was read, number of lice enumerated and fish weight was recorded. The fish was subsequently humanely euthanized with a sharp blow to the head and a blood sample was taken. Blood samples were kept on ice until centrifugation and plasma collection. Plasma was stored at −80°C until analysis. Plasma cortisol concentration was determined using an ELISA assay kit (IBL International GmbH) with a Sunrise microplate reader (Tecan, Switzerland). Furthermore, 2 skin samples from the flank of each fish were taken immediately after euthanization: one from directly underneath the louse (lice-positive sample), and the other from a similar location without louse (lice-negative sample). Skin samples were frozen at −80°C in 1.5 mL PreMax™-plate tubes containing 2 stainless-steel beads (Nerliens Meszansky) for later RNA extraction.

RNA purification

A volume of 500 μL Tri reagent (Sigma Aldrich) was added to the 1.5 mL PreMax™-plate tubes containing skin samples and homogenized for 2 min at 1400 rpm (FastPrep 96, MP Biomedicals). Thereafter, samples were kept at room temperature for 5 min before adding 100 μL chloroform (Sigma Aldrich), then vortexed for 1 min at 1400 rpm (FastPrep 96, MP Biomedicals) and centrifuged at 16 000 rcf at 4°C for 15 min. A volume of 200 μL supernatant was withdrawn and 400 μL RLT (Qiagen) and 600 μL 70% ethanol was added. RNA was further extracted following the RNeasy-Micro protocol (Qiagen). Quality and quantity of RNA were assessed with a NanoDrop™-1000 spectrophotometer (NanoDrop Technologies, ThermoFisher Scientific) and purified RNA was stored at –80°C until further use.

cDNA

Reverse transcription was carried out using SuperScript® VILO™ complementary DNA (cDNA) synthesis kit (ThermoFisher Scientific) according to manufacturer recommendations in a total volume of 10 μL along with the negative control (RTneg) and no template control (NTC). The samples were diluted with nuclease-free, sterile water (VWR) to get an RNA concentration of 300 ng μL−1, and 4 μL RNA was transferred and mixed with 6 μL Vilo™ cDNA synthesis mix (containing 3 μL nuclease-free, sterile water, 2 μL 5XVilo™ reaction mix and 1 μL 10× superscript® enzyme mix) in a total of 1200 ng μL−1. The RTneg was prepared by replacing the 10× superscript® enzyme mix with nuclease-free, sterile water, while only nuclease-free, sterile water was pipetted into the NTC wells.

Samples were incubated following the manufacturer's instruction first at 25°C for 10 min, thereafter at 42°C for 60 min, before the reaction was terminated at 85°C for 5 min. Samples were frozen at −20°C and cDNA was later diluted (1:20) by mixing 95 μL nuclease-free, sterile water and 5 μL of cDNA prior to the real-time qPCR assay.

RT-qPCR

Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was performed in QuantStudio™5 system (ThermoFisher Scientific). Assays were run in 7 μL reactions, including 3.5 μL master mix (BrilliantIII ultra-fast SYBR®green qPCR master mix, Agilent), 0.28 μL of forward primer, 0.28 μL of reverse primer, 0.10 μL reference dye (1:500), 0.84 μL nuclease-free, sterile water and 2 μL template in a total quantity of 12 ng cDNA. qPCR cycling conditions were 95°C for 3 min, then 40 cycles of 95°C for 5 s and 60°C for 20 s. The melt curve stage had a denaturation step at 95°C, annealing step at 60°C and a dissociation step at 95°C.

All assays were tested using both negative control (RTneg) and no template control (NTC). Analyses of messenger RNA (mRNA) levels were conducted using the simplified 2−ΔΔCt method as used by Dalvin et al. (Reference Dalvin, Jørgensen, Kania, Grotmol, Buchmann and Øvergård2020). The proposed function, the role of the selected transcripts on host responses towards parasite and primers used are found in Tables 1 and 2. Elongation factor 1-α (EF1-α) and receptor-like protein 1 were used as reference genes. Results are presented as fold change in the different treatment groups at each lice stage (both negative and positive samples) compared to lice-negative samples in the Cop group at the same development stage. Changes in threshold cycle (ΔCt) value were calculated as differences between RNA levels of the gene of interest and the arithmetic mean of the reference genes. ΔΔCt was quantified as the difference between ΔCt in the Cop (positive), Copx2, Copcop and Aducop (lice-negative and -positive) compared to the average ΔCt of lice-negative samples from the Cop group. Only expressional differences between groups with a minimum of 2-fold differences in mRNA and P < 0.05 were considered significant.

Table 1. Investigated transcripts, main function and previously reported expression in salmon lice-infected fish

*Denotes genes involved in wound healing.

Table 2. Forward (F) and reverse (R) primers for the investigated immune and wound healing genes (denoted*) used in RT-qPCR setup

Statistical analyses

All analyses were performed using the statistical program environment R 4.3.1 (R core team, 2022). For all models, normality and heteroscedasticity of residuals were performed by visual inspection.

Parasite success

The effect of treatment (Cop, Copx2, Copcop and Aducop) on lice infection success and subsequent survival was investigated with a generalized linear model (glm) fitted with quasibinomial distribution. The model included the proportion of lice that settled and survived on the fish (thereafter ‘parasite success’) as a binomial response variable and treatment as a predictor variable. The binominal predictor variable combined (using the cbind function) the number of lice that successfully infected and survived on the host and those that did not. Two models were fitted to investigate how the treatment affected parasite success up until the chalimus and pre-adult stage, respectively. Post hoc comparisons between treatments were done using the emmeans function in R.

Host stress response

The effect of treatment on host stress level for each stage (chalimus, pre-adult and adult) was tested by fitting a linear mixed-effect model (lme) with cortisol concentration as response variable, and treatment and parasite load (total number of lice on the fish) as predictor variables. Tank was defined as a random-effect factor. Post hoc comparisons between treatment groups were done using analysis of variance (ANOVA) and a Tukey's post hoc test.

Fish-specific growth rate

To test whether the initial weight of the hosts differed across treatments, a linear mixed-effect (lme) model was fitted with start weight as response variable, treatment as predictor variable and tank as a random effect. The effects of treatment and parasite load on host growth were investigated with a linear mixed-effect model (lme) at each parasite stage (chalimus, pre-adult and adult stage, respectively). The response variable was the specific growth rate of the host as in Fjelldal et al. (Reference Fjelldal, Hansen and Karlsen2020), and treatment and parasite load were included as predictor variables. Tank was defined as a random-effect factor. Post hoc comparisons between treatment groups were done using ANOVA and a Tukey's post hoc test.

Results

Parasite success

At the first sampling (i.e. lice had become chalimus), lice success (i.e. the ability to infecte and survive on the host until sampling) did not differ between the treatment groups (Fig. 1a, Tables 3 and 4, Supplementary Table 2). At the second sampling (i.e. lice had devloped into pre-adults), lice were more sucessful on fish in the Cop group than in the fish with prior exposure to adult salmon lice [P = 0.001 (glm)] (Fig. 1b, Tables 3 and 4, Supplementary Table 2). There were no differences between the other treatments. Total number of lice (i.e. lice from previous and new infection) was highest in fish exposed to a double dose of copepodids (Copx2 and Copcop groups) (Fig. 2, Supplementary Table 2).

Figure 1. Parasite success (the number of lice infecting and surviving on the host until sampling) for the treatment groups infected with a single dose of copepodids (60 lice per fish) at the chalimus (a) and pre-adult stages (b), respectively. Fish in the Aducop group were previously infected with adult lice (4 females and 3 males per fish), while fish in the Copcop group was previously infected with copepodids (60 lice per fish × 2). Fish in the Cop group was unexposed to salmon lice prior to the copepodid infection.

Table 3. Output from glm models exploring the effect of treatment on lice success (i.e. infection success and survival) and at the chalimus and pre-adult stages

* Indicates significant differences between the treatments.

Table 4. To investigate if lice success differed between treatments, multiple comparisons were performed using the emmeans function in R at both the chalimus and pre-adult stages

*Indicates significant differences between the treatments.

Figure 2. Total number of lice (i.e. lice from both infections for fish in the Aducop and Copcop groups) (±s.e.) for the different treatments (Aducop, Copcop, Cop and Copx2 groups) depending on sampling [1 (chalimus), 2 (pre-adult) and 3 (adult)].

Host stress response

At the chalimus stage, cortisol levels (a proxy for stress) were higher in fish from the Copcop group than in the Aducop and Copx2 groups (Tukey's post hoc test, P = 0.007 and 0.003, respectively). At the pre-adult stage, cortisol levels were not affected by either treatment or number of lice (Tables 5 and 6). At the adult stage, mean cortisol levels were lower in the Copcop group than in the Cop and Copx2 groups (Tukey's post hoc test, P = 0.03 and P < 0.001). Additionally, it was higher in the Copx2 than in the Aducop group (Tukey's post hoc test, P = 0.003) (Tables 5 and 6, Fig. 3).

Table 5. Output from linear mixed-effect model exploring the effect of the total number of lice and treatment on plasma cortisol levels depending on stage

Table 6. Output from ANOVA test exploring the effect of the total number of lice and treatment on plasma cortisol levels depending on stage

* Indicates significant differences between the treatments.

Figure 3. Mean plasma cortisol levels (ng mL−1) (±s.e.) in fish depending on sampling (1–3) for the different experimental treatments. Fish belonging to the Aducop group was previously infected with adult lice (4 females and 3 males per fish), while fish in the Copcop group was previously infected with (60 copepodids per fish). Fish in the Cop and Copx2 group were unexposed to salmon lice prior to the copepodid infection. During the infection, fish in the Cop, Aducop and Copcop groups were infected with a single dose of copepodids (60 copepodids per fish), while fish in the Copx2 group was infected with a double dose of copepodids (120 copepodids per fish).

Fish-specific growth rate

There was no significant difference in start weight between the treatments (ANOVA, P = 0.92, Tables 7 and 8), and overall, the effect of treatment and number of lice on fish weight was small. However, at the chalimus stage, the specific growth rate was affected by the total number of lice (lme, P = 0.002) and was higher in the Copx2 group than in the Copcop and Aducop groups (Tukey's post hoc test, P = 0.001 and P = 0.0065) (Fig. 4, Tables 9 and 10). At the pre-adult stage, the growth rate was not affected by either the number of lice or treatment, but at the adult stage, the growth rate was higher in the Copcop group than in the Aducop and Copx2 groups (Tukey's post hoc test, P = 0.009 and P < 0.001, respectively). The growth rate was also higher in the Cop group than in the Copx2 group (Tukey's post hoc test, P = 0.0003) (Fig. 4, Tables 9 and 10).

Table 7. Output from the linear mixed-effect model to explore if start weight differed between the treatments

Table 8. Output from the ANOVA test to explore if start weight differed between the treatments

Figure 4. Mean specific growth rate (±s.e.) at sampling 1–3. Start weight for all groups was recorded at 24 days past the first exposure for the Copcop group (lice from the previous infection had become pre-adults). At this date, fish belonging to the Aducop group were also infected with adult lice (4 females and 3 males per fish). Seven days later (30 dpi), all groups were infected with either a single (Aducop, Copcop and Cop) or a double dose (Copx2) of infectious copepodids (60 and 120 lice per fish, respectively). Weight was recorded when louse from infection had developed into the chalimus (sampling 1, 42 dpi), pre-adult (sampling 2, 51 dpi) and adult stage (sampling 3, 60 dpi).

Table 9. Output from the linear mixed-effect model exploring the effect of treatment and total number of lice on specific weight gain depending on stage

* Indicates significant differences.

Table 10. Output from the ANOVA test exploring if the specific growth rate was affected by treatment and the total number of lice

* Indicates significant differences.

Transcriptional responses in the skin of the host

At the chalimus stage, there was an upregulation of cytokines in the skin at the site of lice attachment in all treatment groups; this included interleukin 1-β (Fig. 5a), interleukin 4 (Fig. 5k) and interleukin 8 (Fig. 5l). For both interleukin 1-β and interleukin 8, the highest upregulation was seen in the Copcop group. Interleukin 2 was upregulated in non-lice sites in the Aducop group only (Fig. 5j). Higher transcription at the site of lice attachment was evident in the acute-phase protein serum amyloid A (Fig. 5n) and the antimicrobial peptide cathelicidin 2 (Fig. 5e). The expression of these transcripts was highest in previously infected fish (Copcop and Aducop groups). Whereas complement component 3 (Fig. 5g) and matrix metalloproteinase 9 (Fig. 5d) were upregulated at the site of lice attachment in the Copx2 group only. Two of the investigated genes had lower transcription at the site of lice attachment, namely collagen 10-α in the Cop, Copcop and Aducop groups (Fig. 5b) and inducible nitric oxide synthase in the Cop and Copcop groups (Fig. 5m). Collagen 10-α had also lower transcription at non-lice sites in the Copcop group, which also was the group with highest reduction at the site of lice attachment. Transcription of fibronectin precursor, cluster of differentiation 8, cluster of differentiation 4, immunoglobulin M, immunoglobulin T, interleukin 10, tumour necrosis factor-α and transforming growth factor-β did not differ between any treatment (Supplementary Table 1).

Figure 5 (a–p). Relative mRNA levels (±s.e.) in skin samples for selected immune and wound healing gene transcripts depending on treatment and lice development stage in infected fish (Cop, infected once with a single dose of copepodids; Copx2, infected once with a double dose of copepodids; Copcop, infected twice with a single dose of copepodids; Aducop, infected with adult lice and later infected with a single dose of copepodids). Skin samples were taken either directly under the lice (black columns) or away from the site of infection (white columns). The expression level is expressed as 2−ΔΔCTs.e.) in sites under and away from site of infection compared to sites without lice in the Cop group (*denotes significant difference in expression). The horizontal line is set at y = 1.

At the pre-adult stage, an upregulation in transcription of interleukin 8 (Fig. 5l), serum amyloid A (Fig. 5n), complement component 3 (Fig. 5g), tumour necrosis factor-α (Fig. 5o) and cathelicidin 2 (Fig. 5e) was evident at the site of lice attachment in all treatment groups with the smallest upregulation in the Copcop group. Tumour necrosis factor-α was also upregulated at non-lice sites in the skin in the Copcop group, while transcription of cathelicidin 2 was higher in lice-negative samples in the Copx2 group only. Interleukin 1-β (Fig. 5a), interleukin 2 (Fig. 5j), fibronectin precursor (Fig. 5c) and matrix metalloproteinase 9 (Fig. 5d) were significantly higher at the site of lice attachment in the Cop, Copx2 and Aducop groups. Whereas transcription of interleukin 10 was higher at the non-lice site in the Copx2 and Aducop groups (Fig. 5i). There was a downregulation of collagen 10-α (Fig. 5b) and cluster of differentiation 8 (Fig. 5f) at the site of lice attachment for all treatments. Immunoglobulin T was also downregulated at the site of lice attachment, but only in naïve fish (Cop and Copx2 groups) (Fig. 5h), while it was upregulated at the non-lice sites in the Copcop group. Aberrant expression of inducible nitric oxide synthase was observed in previously lice-infected fish, with a downregulation at the site of lice attachment in the Copcop group and an upregulation in non-lice sites in the Aducop group (Fig. 5m). Transcription of cluster of differentiation 4, immunoglobulin M, interleukin 4 and transforming growth factor-β did not differ between any treatment (Supplementary Table 1).

At the adult stage, transcription of several genes increased at the site of lice attachment in all treatment groups; this included interleukin 1-β (Fig. 5a), interleukin 8 (Fig. 5l), matrix metalloproteinase 9 (Fig. 5d), serum amyloid A (Fig. 5n) and tumour necrosis factor-α (Fig. 5o). Transcription of cathelicidin 2 (Fig. 5e) and complement component 3 (Fig. 5g) was also higher at the site of lice attachment for all treatment groups. Additionally, transcription was higher in lice-negative samples at the Copx2 group for cathelicidin 2 and in the Copx2 and Copcop groups for complement component 3. Interestingly, the lowest transcription levels for all these transcripts were observed in the Copcop group, while the expression of serum amyloid A, matrix metalloproteinase 9, cathelicidin 2 and complement component 3 was highest in the Copx2 group; it was highest in the Aducop group for interleukin 1-β and tumour necrosis factor-α. Fibronectin precursor (Fig. 5c) and transforming growth factor-β (Fig. 5p) had significantly higher transcription at the site of lice attachment both in the Copx2 and Aducop groups, while interleukin 4 (Fig. 5k) was only significantly increased in the Aducop group. Two transcripts were downregulated in the skin at the site of lice attachment in all treatments; this included cluster of differentiation 8 (Fig. 5f) and collagen 10-α (Fig. 5b). Collagen 10-α additionally showed increased transcription at non-lice sites in the Copcop group and reduced transcription in Copx2 group. Whereas interleukin 10 (Fig. 5i) and inducible nitric oxide synthase (Fig. 5m) were downregulated only at the site of lice attachment in the Copcop group. Lastly, the expression of immunoglobulin T was reduced at the site of lice attachment in both the Cop and Aducop groups (Fig. 5h). Transcription of cluster of differentiation 4, immunoglobulin M and interleukin 2 did not differ between any treatment (Supplementary Table 1).

Discussion

The present study comparing salmon louse infection in fish with different infection history demonstrates that lice success on the host was lower in previously infected than in naïve fish. In nature, both wild and farmed salmonids are repeatedly exposed to and infected with salmon lice copepodids, resembling the treatment given to the Copcop group in this study. The specific growth rate of the host was negatively affected at high lice intensities and was lowest in fish previously infected with copepodids early in the infection. Contrarily, growth later in the infection was higher in fish previously infected with copepodids than in fish previously infected with adult lice and in naïve fish infected with a double dose of copepodids indicating compensatory growth. Similarly, stress (i.e. plasma cortisol levels) was higher early, but lower late in the infection in fish previously infected with copepodids. Parallel monitoring of transcriptional changes showed a stronger response early and an attenuated response later at the site of lice attachment in fish previously infected with copepodids.

Parasite success

Results reported here suggest that already infected Atlantic salmon are less susceptible to infections. This is not in agreement with findings by Ugelvik et al. (Reference Ugelvik, Mo, Mennerat and Skorping2017a), who reported that already infected fish were more susceptible to new infections. Differences in experimental design could possibly explain the discrepancy. In the present study, fish were infected with conspecifics exposed to the same experimental treatment, while an earlier study used a common garden setup during the infection. Ugelvik et al. (Reference Ugelvik, Mo, Mennerat and Skorping2017a) reported significantly more lice from the second infection in the group carrying adult lice than in naïve controls. However, there was no difference in lice load between the control group and the group in which the louse from the previous infection was removed prior to the second infection (Ugelvik et al., Reference Ugelvik, Mo, Mennerat and Skorping2017a). This could be caused by continuous immunosuppression by the louse in the fish maintaining adult lice from earlier exposures or it could be caused by preferential settlement of copepodids on hosts carrying adult lice when given the choice. Such an adaptive response at low lice intensities would increase the probability of the copepodid infecting a fish already carrying lice of the opposite sex. Previous studies have suggested that lice are able to detect and respond to cues from conspecifics (Morefield and Hamlin, Reference Morefield and Hamlin2022), for instance copepodids are more likely to settle on naïve than Atlantic salmon carrying lice at the chalimus II stage (O'Shea, Reference O'Shea2005). However, this could not explain why fish carrying adult lice have higher lice loads than naïve fish when infected in the same infection tank (Ugelvik et al., Reference Ugelvik, Mo, Mennerat and Skorping2017a). Possibly, copepodids respond differently to the presence of chalimus II than to adult lice. If the main driver of the number of lice acquired during the second infection is parasite-induced immunosuppression by the parasite, the same pattern should be observed when infection of naïve and already infected fish is performed in separate tanks. This was not the case here; contrarily, naïve fish had higher lice load than those carrying lice from earlier infections. Hence, the discrepancy is most readily explained by copepodids preferring to settle on already infected fish. However, it should be noted that both these studies were performed in tanks where copepodids were exposed to multiple hosts possibly creating a highly artificial infection environment, including multiple pressure waves and chemical cues demonstrated to affect copepodids (Mordue Luntz and Birkett, Reference Mordue Luntz and Birkett2009).

Moreover, host immunosuppression by adult lice is not in agreement with the immune response reported here. We predicted that if the louse were immunosuppressing host responses, suppression should increase with the number of lice and the duration of the infection. Contrarily, an increased response in already infected fish was observed early in the infection and the largest response was observed in fish previously infected with adult lice. Additionally, the response was stronger in naïve fish infected with a double compared to a single dose of copepodids. A stronger immunological response in previously infected fish compared to naïve fish is in consonance with higher lice success in the latter group. Hence, if salmon lice are modulating host immune responses, it does not result in increased susceptibility to new lice infections.

Lice effect on host weight and stress response

Cortisol levels were affected by treatment with different responses as the infection developed. At the chalimus stage, cortisol levels appeared to be dependent on time with the highest cortisol levels found in fish with the longest ongoing infection (Copcop group). However, later at the adult stage, an opposite pattern was observed with the lowest cortisol levels in the Copcop group and the highest levels in fish infected once with a double dose of copepodids. This is surprising since fish in these 2 groups carried similar lice loads and in the former the infection had lasted twice as long. This could indicate that the stress response in infected fish is attenuated after long-term exposure to the parasite and imply that fish over time are able to compensate for the negative effects of the lice infection, at least at the lice intensities studied here. Increased stress levels and pathogenicity are associated with development to the pre-adult stage (Grimnes and Jakobsen, Reference Grimnes and Jakobsen1996), suggesting that virulence depends on the development stage of the parasite or the duration of infection. The effect of cortisol on immune responses is difficult to predict since acute stress in fish is immunostimulatory, while chronic stress is considered immunosuppressive (Tort, Reference Tort2011). Higher levels of cortisol in fish with high lice loads could increase susceptibility to new salmon lice infections and other pathogens due to the role of cortisol as an immunosuppressant (Pickering and Pottinger, Reference Pickering and Pottinger1989; Johnson and Albright, Reference Johnson and Albright1992)

At the chalimus stage, the growth rate of the salmon was reduced with an increasing number of lice and it was lower in fish previously infected with copepodids compared to fish infected once with a double dose of copepodids. Hence, salmon lice negatively affected the growth rate of Atlantic salmon early in the infection and unsurprisingly the effect was more pronounced in the group with the longest ongoing infection. Reduced specific growth rate with increasing lice loads has also previously been reported from other studies on Atlantic salmon in the laboratory (Fjelldal et al., Reference Fjelldal, Hansen and Karlsen2020) and a negative correlation between body condition and lice density is also found in Atlantic salmon in the wild (Susdorf et al., Reference Susdorf, Salama, Todd, Hillman, Elsmere and Lusseau2018). A negative effect of lice on the growth rate at the adult stage is also supported by lower weight gain in naïve fish infected with a double compared to a single dose. Interestingly, the growth rate measured when lice had reached the adult stage was higher in fish infected twice with copepodids than in the groups previously infected with adult lice and naïve fish infected with a double dose of copepodids. The mean total number of lice per fish in the Copcop and Copx2 groups was similar and could indicate an ability of the fish to later compensate for the reduction in growth rate observed earlier in the infection. That fish are able to compensate for earlier suboptimal conditions is in agreement with studies showing that fish earlier exposed to restricted feeding compensate the weight loss by having higher growth rate than conspecifics that have been continuously fed, when conditions become favourable (Ali et al., Reference Ali, Nicieza and Wootton2003; Hvas et al., Reference Hvas, Nilsson, Vågseth, Nola, Fjelldal, Hansen, Oppedal, Stien and Folkedal2022).

Transcriptional responses in the skin of lice infected salmon

The transcription of selected immune and would healing genes used here is previously associated with host responses towards salmon lice (Table 1). Most differential gene expression was observed in the skin at the site of lice attachment, while much fewer transcriptional changes were observed at non-lice sites. Hence, lice infection tended to result in more local than systemic immune responses in the skin of salmonids, confirming earlier findings (Øvergård et al., Reference Øvergård, Hamre, Grotmol and Nilsen2018; Dalvin et al., Reference Dalvin, Jørgensen, Kania, Grotmol, Buchmann and Øvergård2020; Ugelvik et al., Reference Ugelvik, Mæhle and Dalvin2022). Considering that salmon lice are ectoparasites in contact with the host only at the attachment site is unsurprising. Stronger local proinflammatory responses towards ectoparasites are also reported in 3 striped trumpeter (Latris lineata) and in carp (Cyprinius carpio) (Gonzalez et al., Reference Gonzalez, Buchmann and Nielsen2007; Covello et al., Reference Covello, Bird, Morrison, Battaglene, Secombes and Nowak2009). In our study, skin samples were consistently taken from the flank of the fish, since a previous study has reported variation in the expression of immune genes in different parts of the skin in Atlantic salmon (Holm et al., Reference Holm, Skugor, Bjelland, Radunovic, Wadsworth, Koppang and Evensen2017). Hence, the transcriptional changes in the skin reported here might not reflect responses in scaleless and fin skin in the fish. Lice at the pre-adult and adult stages are mobile on the host, with especially males moving around there is a possibility that some samples were misidentified as either lice attachment or non-lice sites. However, that we observed differential expression between lice attachment and non-lice sites suggests that most samples were correctly identified. Transcription in the different lice treatments also varied during the infection, which may be caused by the progression of the different developmental stage of the louse or simply be a factor of time. Most noticeable was an early local increased expression of transcripts in fish that had previously been infected with copepodids, including transcripts involved in proinflammatory responses. This pattern was however not evident later at the pre-adult stage, where contrarily transcription levels of several transcripts were higher at the site of lice attachment in the other groups, but not in the group previously infected with copepodids. This was corroborated by lower transcriptional changes in fish infected with copepodids twice. Similarly, at the adult stage, several transcripts were upregulated for all treatments, but levels were lower in the group previously infected with copepodids. Overall, the expression of the investigated transcripts was lower in naïve fish infected with a single dose than those infected with either a double dose of copepodids or that previously was infected with adult lice, implying an effect of both parasite intensity and previous exposure on host responses towards the louse. This suggests that in fish already infected with copepodids, the response towards new lice infections is faster and stronger early but reduced later in the infection. This is congruent with the observed higher lice loss from the chalimus to the pre-adult stage in previously infected fish and could also explain why lice success is higher in the group infected with a single dose of copepodids than in previously infected fish.

Proinflammatory cytokines enhance inflammation at the site of infection, which can be an important part of host responses towards pathogens and parasites. Transcription of tumour necrosis factor-α in the skin observed in this study was increased at the site of lice attachment in all treatments, indicating a role in host responses towards the louse independent of previous exposure to the parasite. In addition, at the pre-adult stage, the mRNA level of tumour necrosis factor-α was higher at non-lice sites in the previously infected group, which was one of very few could imply a more systemic response in the skin. The presence of proinflammatory activity locally at the site of lice attachment was also supported by enhanced levels of interleukin 1-β. Interestingly, while mRNA levels of interleukin 1-β were highest at the chalimus stage sampling in the group previously infected with copepodids, it was lowest in this group at the adult stage, which implies a reduction in proinflammatory responses late in the infection in this group. Such a reduction is supported by transcription of interleukin 8. Interleukin 8 was induced at the site of lice attachment in all treatments, but again the lowest mRNA levels were observed in the group previously infected with copepodids.

Acute-phase proteins are also an important part of the early response to infections and increased transcription of serum amyloid A was evident in all treatments. However, late in the infection (pre-adult and adult stage) and congruent with the expression of proinflammatory cytokines, the lowest upregulation was seen in fish previously infected with copepodids. High levels of serum amyloid mRNA at the site of lice attachment corroborate the role of this gene in responses towards salmon lice (Braden et al., Reference Braden, Koop and Jones2015) and the lower levels in group infected twice with copepodids could imply that the response is attenuated when the infection is long lasting. The antimicrobial peptide cathelicidin 2 was upregulated underneath the louse at all stages for all treatments, and in the single-dose group, it was also induced at non-lice sites at both the pre-adult and adult stages, which could imply systemic activation in the skin in this group. Interestingly, and in agreement with other investigated proinflammatory genes, the relative transcription of cathelicidin 2 at the site of lice attachment was highest at the chalimus and lowest at the pre-adult and adult stages in fish previously infected with copepodids. Demonstrating earlier induction of proinflammatory responses in this group, the response is diminished compared to the other treatments later in the infection. The concurrent upregulation of both cathelicidin 2 and interleukin 8 corroborates the presence of proinflammatory responses at the site of lice attachment.

Excessive inflammatory responses could lead to unnecessary damage to host tissues; hence, efficient responses towards parasites also depend on regulatory and anti-inflammatory responses. The regulatory cytokine interleukin 2 was upregulated at the site of lice attachment in all treatments. Transforming growth factor-β could increase inflammatory responses early in an infection and later suppress inflammation and it is also important in regulating extracellular matrix (Ignotz and Massagué, Reference Ignotz and Massagué1986; Qi et al., Reference Qi, Xie, Guo and Wu2016). Upregulation of transforming growth factor-β in lice-infected fish is in agreement with previous findings in lice-damaged skin in both Atlantic (Skugor et al., Reference Skugor, Glover, Nilsen and Krasnov2008), Coho and Sockeye salmon (Braden et al., Reference Braden, Koop and Jones2015) and a role in pathogen resistance in fish is also reported for both striped bass and trout (Rebl and Goldammer, Reference Rebl and Goldammer2018). Interestingly, there was a significant upregulation at the site of lice attachment only in groups with the highest proinflammatory responses late in the infection (Copx2 and Aducop), which could also induce stronger regulatory and anti-inflammatory responses. This is supported by higher upregulation of the regulatory cytokine interleukin 10 at non-lice sites.

The mRNA levels of cluster of differentiation 8 were reduced at the site of lice attachment at the pre-adult and adult stages, but no effect of treatment was evident in transcription of this gene. The reduced transcription of cluster of differentiation 8 could indicate fewer cytotoxic cells at the site of lice attachment, which could increase susceptibility to viral infections (Braden et al., Reference Braden, Koop and Jones2015). Additionally, lice-infected fish are also more prone to secondary infections due to damages inflicted on the skin by the grazing activity of the parasite, and together with the reduction in cytotoxic cells, this could explain the higher susceptibility to infectious salmon anaemia virus observed in infected fish (Barker et al., Reference Barker, Bricknell, Covello, Purcell, Fast, Wolters and Bouchard2019).

Wound healing

By feeding on skin, mucus and blood of its host, salmon lice, especially at the mobile stages, cause skin damage. To reduce susceptibility to secondary infection, it is important for the host to rapidly repair the damaged skin. Matrix metalloproteinase 9 was upregulated at the site of lice attachment at the adult stage for all treatments. Contrastingly, at the chalimus stage, mRNA levels of collagen 10-α were reduced at the site of lice attachment. Additionally, aberrant expression of collagen 10-α at non-lice sites between the Copcop and Copx2 at the adult stage could indicate systemic responses at high lice intensities, and moreover suggests that the response depends on the duration of the lice infection. Aberrant expression of wound healing transcripts at the site of lice attachment could affect the ability of the host to repair lice-inflicted damage, which could affect the pathology induced by the ectoparasite.

Conclusion

The salmon louse is a major pest in Atlantic salmon aquaculture and a threat to wild salmonids. Knowledge on how previous exposure affects host responses towards the parasite and the ability of the louse to infect and survive on the host presented herein is therefore of importance to both the industry and regulatory authorities. Transcriptional responses in the skin towards the louse varied with previous exposure to the parasite, but most changes were observed locally at the site of lice attachment. To be able to breed more lice-resistant salmon in the future, it would be beneficial to have stronger adaptive immune responses in the whole skin or in systemic immune organs.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S0031182023000847

Data availability

Data are available as supplementary material.

Acknowledgement

We are grateful to Lise Dyrhovden, Bjørnar Skjold, Sebastian Samsonsen, Tone Vågseth and Karen Anita Kvestad for assistance in the laboratory and to Lars Are Hamre for feedback on previous versions of the manuscript.

Author contributions

S. D. and M. S. U. designed the study, performed experimental procedures in the fish facility and performed the experimental procedures in the laboratory. M. S. U analysed the data and wrote the first draft. S. D., A. M. and S. M. provided critical revisions and comments on the manuscript.

Financial support

This research was funded by the Norwegian Seafood Research Fund (grant no. 901565).

Competing interests

None.

Ethical standards

All applicable institutional and national guidelines for the care and use of animals were followed and the experiment was approved by the Norwegian Food Safety Authority (approval number 20808).

References

Ali, M, Nicieza, A and Wootton, RJ (2003) Compensatory growth in fishes: a response to growth depression. Fish and Fisheries 4, 147190.CrossRefGoogle Scholar
Altizer, S, Dobson, A, Hosseini, P, Hudson, P, Pascual, M and Rohani, P (2006) Seasonality and the dynamics of infectious diseases. Ecology Letters 9, 467484.CrossRefGoogle ScholarPubMed
Anderson, R and Gordon, D (1982) Processes influencing the distribution of parasite numbers within host populations with special emphasis on parasite-induced host mortalities. Parasitology 85, 373398.CrossRefGoogle ScholarPubMed
Anderson, R and May, R (1978) Regulation and stability of host-parasite population interactions: I. Regulatory processes. Journal of Animal Ecology 47, 219247.CrossRefGoogle Scholar
Bandilla, M, Hakalahti, T, Hudson, PJ and Valtonen, ET (2005) Aggregation of Argulus coregoni (Crustacea: Branchiura) on rainbow trout (Oncorhynchus mykiss): a consequence of host susceptibility or exposure? Parasitology 130, 169176.CrossRefGoogle ScholarPubMed
Barker, SE, Bricknell, IR, Covello, J, Purcell, S, Fast, MD, Wolters, W and Bouchard, DA (2019) Sea lice, Lepeophtheirus salmonis (Krøyer 1837), infected Atlantic salmon (Salmo salar L.) are more susceptible to infectious salmon anemia virus. PLoS ONE 14, e0209178.CrossRefGoogle ScholarPubMed
Beldomenico, PM and Begon, M (2010) Disease spread, susceptibility and infection intensity: vicious circles? Trends in Ecology & Evolution 25, 2127.CrossRefGoogle ScholarPubMed
Braden, LM, Barker, DE, Koop, BF and Jones, SR (2012) Comparative defense-associated responses in salmon skin elicited by the ectoparasite Lepeophtheirus salmonis. Comparative Biochemistry and Physiology Part D: Genomics and Proteomics 7, 100109.Google ScholarPubMed
Braden, LM, Koop, BF and Jones, SR (2015) Signatures of resistance to Lepeophtheirus salmonis include a TH2-type response at the louse-salmon interface. Development and Comparative Immunology 48, 178191.CrossRefGoogle ScholarPubMed
Braden, LM, Monaghan, SJ and Fast, MD (2020) Salmon immunological defence and interplay with the modulatory capabilities of its ectoparasite Lepeophtheirus salmonis. Parasite Immunology 42, e12731.CrossRefGoogle ScholarPubMed
Brunner, SR, Varga, JFA and Dixon, B (2020) Antimicrobial peptides of salmonid fish: from form to function. Biology 9, 233.CrossRefGoogle ScholarPubMed
Castillo-Briceño, P, Bihan, D, Nilges, M, Hamaia, S, Meseguer, J, García-Ayala, A, Farndale, RW and Mulero, V (2011) A role for specific collagen motifs during wound healing and inflammatory response of fibroblasts in the teleost fish gilthead seabream. Molecular Immunology 48, 826834.CrossRefGoogle ScholarPubMed
Chaplin, DD (2010) Overview of the immune response. Journal of Allergy and Clinical Immunology 125, S323.CrossRefGoogle ScholarPubMed
Chaudhry, A, Samstein, RM, Treuting, P, Liang, Y, Pils, MC, Heinrich, JM, Jack, RS, Wunderlich, FT, Brüning, JC, Müller, W and Rudensky, AY (2011) Interleukin-10 signaling in regulatory T cells is required for suppression of Th17 cell-mediated inflammation. Immunity 34, 566578.CrossRefGoogle ScholarPubMed
Churcher, TS, Filipe, JAN and Basanez, MG (2006) Density dependence and the control of helminth parasites. Journal of Animal Ecology 75, 13131320.CrossRefGoogle ScholarPubMed
Covello, JM, Bird, S, Morrison, RN, Battaglene, SC, Secombes, CJ and Nowak, BF (2009) Cloning and expression analysis of three striped trumpeter (Latris lineata) pro-inflammatory cytokines, TNF-alpha, IL-1beta and IL-8, in response to infection by the ectoparasitic, Chondracanthus goldsmidi. Fish & Shellfish Immunology 26, 773786.CrossRefGoogle ScholarPubMed
Cox, FEG (2001) Concomitant infections, parasites and immune responses. Parasitology 122, S23S38.CrossRefGoogle ScholarPubMed
Dalvin, S, Jørgensen, LG, Kania, PW, Grotmol, S, Buchmann, K and Øvergård, AC (2020) Rainbow trout Oncorhynchus mykiss skin responses to salmon louse Lepeophtheirus salmonis: from copepodid to adult stage. Fish & Shellfish Immunology 103, 200210.CrossRefGoogle ScholarPubMed
Dalvin, S, Eichner, C, Dondrup, M and Øvergård, AC (2021) Roles of three putative salmon louse (Lepeophtheirus salmonis) prostaglandin E2 synthases in physiology and host–parasite interactions. Parasites & Vectors 14, 206.CrossRefGoogle ScholarPubMed
Eichner, C, Øvergård, AC, Nilsen, F and Dalvin, S (2015) Molecular characterization and knock-down of salmon louse (Lepeophtheirus salmonis) prostaglandin E synthase. Experimental Parasitology 159, 7993.CrossRefGoogle ScholarPubMed
Eichner, C, Dondrup, M and Nilsen, F (2018) RNA sequencing reveals distinct gene expression patterns during the development of parasitic larval stages of the salmon louse (Lepeophtheirus salmonis). Journal of Fish Diseases 41, 10051029.CrossRefGoogle ScholarPubMed
Fast, MD, Johnson, SC, Eddy, TD, Pinto, D and Ross, NW (2007) Lepeophtheirus salmonis secretory/excretory products and their effects on Atlantic salmon immune gene regulation. Parasite Immunology 29, 179189.CrossRefGoogle ScholarPubMed
Fjelldal, PG, Hansen, TJ and Karlsen, Ø (2020) Effects of laboratory salmon louse infection on osmoregulation, growth and survival in Atlantic salmon. Conservation Physiology 8, coaa023coaa023.CrossRefGoogle ScholarPubMed
Gjerde, B, Ødegård, J and Thorland, I (2011) Estimates of genetic variation in the susceptibility of Atlantic salmon (Salmo salar) to the salmon louse Lepeophtheirus salmonis. Aquaculture 314, 6672.CrossRefGoogle Scholar
Glover, KA, Aasmundstad, T, Nilsen, F, Storset, A and Skaala, Ø (2005) Variation of Atlantic salmon families (Salmo salar L.) in susceptibility to the sea lice Lepeophtheirus salmonis and Caligus elongatus. Aquaculture 245, 1930.CrossRefGoogle Scholar
Gonzalez, SF, Buchmann, K and Nielsen, ME (2007) Real-time gene expression analysis in carp (Cyprinus carpio L.) skin: inflammatory responses caused by the ectoparasite Ichthyophthirius multifiliis. Fish & Shellfish Immunology 22, 641650.CrossRefGoogle ScholarPubMed
Grayfer, L, Kerimoglu, B, Yaparla, A, Hodgkinson, JW, Xie, J and Belosevic, M (2018) Mechanisms of fish macrophage antimicrobial immunity. Frontiers in Immunology 9, 122.CrossRefGoogle ScholarPubMed
Grimnes, A and Jakobsen, PJ (1996) The physiological effects of salmon lice infection on post-smolt of Atlantic salmon. Journal of Fish Biology 48, 11791194.Google Scholar
Hamilton, S, McLean, K, Monaghan, SJ, McNair, C, Inglis, NF, McDonald, H, Adams, S, Richards, R, Roy, W, Smith, P, Bron, J, Nisbet, AJ and Knox, D (2018) Characterisation of proteins in excretory/secretory products collected from salmon lice, Lepeophtheirus salmonis. Parasites & Vectors 11, 294.CrossRefGoogle ScholarPubMed
Hamre, L, Eichner, C, Caipang, CMA, Dalvin, ST, Bron, JE, Nilsen, F, Boxshall, G and Skern-Mauritzen, R (2013) The salmon louse Lepeophtheirus salmonis (Copepoda: Caligidae) life cycle has only two chalimus stages. PLoS ONE 8, e73539.CrossRefGoogle ScholarPubMed
Hoffmann, S, Horak, IG, Bennett, NC and Lutermann, H (2016) Evidence for interspecific interactions in the ectoparasite infracommunity of a wild mammal. Parasites & Vectors 9, 58.CrossRefGoogle ScholarPubMed
Holland, MCH and Lambris, JD (2002) The complement system in teleosts. Fish & Shellfish Immunology 12, 399420. https://doi.org/10.1006/fsim.2001.0408CrossRefGoogle ScholarPubMed
Holm, H, Santi, N, Kjøglum, S, Perisic, N, Skugor, S and Evensen, Ø (2015) Difference in skin immune responses to infection with salmon louse (Lepeophtheirus salmonis) in Atlantic salmon (Salmo salar L.) of families selected for resistance and susceptibility. Fish & Shellfish Immunology 42, 384394.CrossRefGoogle ScholarPubMed
Holm, H, Skugor, S, Bjelland, A, Radunovic, S, Wadsworth, S, Koppang, E and Evensen, Ø (2017) Contrasting expression of immune genes in scaled and scaleless skin of Atlantic salmon infected with young stages of Lepeophtheirus salmonis. Developmental & Comparative Immunology 67, 153165.CrossRefGoogle ScholarPubMed
Hong, S, Li, R, Xu, Q, Secombes, CJ and Wang, T (2013) Two types of TNF-α exist in teleost fish: phylogeny, expression, and bioactivity analysis of type-II TNF-α3 in rainbow trout Oncorhynchus mykiss. The Journal of Immunology 191, 59595972.CrossRefGoogle ScholarPubMed
Hordvik, I (2015) Immunoglobulin isotypes in Atlantic salmon, Salmo salar. Biomolecules 5, 166177.CrossRefGoogle ScholarPubMed
Hvas, M, Nilsson, J, Vågseth, T, Nola, V, Fjelldal, PG, Hansen, TJ, Oppedal, F, Stien, LH and Folkedal, O (2022) Full compensatory growth before harvest and no impact on fish welfare in Atlantic salmon after an 8-week fasting period. Aquaculture 546, 737415.CrossRefGoogle Scholar
Ignotz, RA and Massagué, J (1986) Transforming growth factor-beta stimulates the expression of fibronectin and collagen and their incorporation into the extracellular matrix. Journal of Biological Chemistry 261, 43374345.CrossRefGoogle ScholarPubMed
Jacobsen, JA and Gaard, E (1997) Open-ocean infestation by salmon lice (Lepeophtheirus salmonis): comparison of wild and escaped farmed Atlantic salmon (Salmo salar L.). ICES Journal of Marine Science 54, 11131119.CrossRefGoogle Scholar
Johnson, S and Albright, L (1992) Effects of cortisol implants on the susceptibility and the histopathology of the responses of naive coho salmon Oncorhynchus kisulch to experimental infection with Lepeophtheirus salmonis (Copepoda: Caligidae). Diseases of Aquatic Organisms 14, 195205.CrossRefGoogle Scholar
Jones, SR, Fast, MD, Johnson, SC and Groman, DB (2007) Differential rejection of salmon lice by pink and chum salmon: disease consequences and expression of proinflammatory genes. Diseases of Aquatic Organisms 75, 229238.CrossRefGoogle ScholarPubMed
Kania, PW, Chettri, JK and Buchmann, K (2014) Characterization of serum amyloid A (SAA) in rainbow trout using a new monoclonal antibody. Fish & Shellfish Immunology 40, 648658.CrossRefGoogle ScholarPubMed
Kolstad, K (2005) Genetic variation in resistance of Atlantic salmon (Salmo salar) to the salmon louse Lepeophtheirus salmonis. Aquaculture 247, 145151, 2005 v.2247 no.2001-2004.CrossRefGoogle Scholar
Lass, S and Ebert, D (2006) Apparent seasonality of parasite dynamics: analysis of cyclic prevalence patterns. Proceedings of the Royal Society B: Biological Sciences 273, 199206.CrossRefGoogle ScholarPubMed
Luckheeram, RV, Zhou, R, Verma, AD and Xia, B (2012) CD4 + T cells: differentiation and functions. Clinical and Developmental Immunology 2012, 925135.CrossRefGoogle ScholarPubMed
Lysne, DA and Skorping, A (2002) The parasite Lernaeocera branchialis on caged cod: infection pattern is caused by differences in host susceptibility. Parasitology 124, 6976.CrossRefGoogle ScholarPubMed
Mackinnon, BM (1998) Host factors important in sea lice infestations. ICES Journal of Marine Science 55, 188192.CrossRefGoogle Scholar
Mashoof, S and Criscitiello, MF (2016) Fish immunoglobulins. Biology, 123.Google ScholarPubMed
Mennerat, A, Hamre, L, Ebert, D, Nilsen, F, Davidova, M and Skorping, A (2012) Life history and virulence are linked in the ectoparasitic salmon louse Lepeophtheirus salmonis. Journal of Evolutionary Biology 25, 856861.CrossRefGoogle ScholarPubMed
Mennerat, A, Charmantier, A, Perret, P, Hurtrez-Boussès, S and Lambrechts, MM (2021) Parasite intensity is driven by temperature in a wild bird. Peer Community Journal 1, 1-15. doi: 10.24072/pcjournal.65CrossRefGoogle Scholar
Mordue Luntz, AJ and Birkett, MA (2009) A review of host finding behaviour in the parasitic sea louse, Lepeophtheirus salmonis (Caligidae: Copepoda). Journal of Fish Diseases 32, 313.CrossRefGoogle ScholarPubMed
Morefield, RD and Hamlin, HJ (2022) Larval salmon lice Lepeophtheirus salmonis exhibit behavioral responses to conspecific pre-adult and adult cues. Diseases of Aquatic Organisms 149, 121132.CrossRefGoogle ScholarPubMed
Mustafa, A, Speare, D, Daley, J, Conboy, G and Burka, J (2000) Enhanced susceptibility of seawater cultured rainbow trout, Oncorhynchus mykiss (Walbaum), to the microsporidian Loma salmonae during a primary infection with the sea louse, Lepeophtheirus salmonis. Journal of Fish Diseases 23, 337341.CrossRefGoogle Scholar
Nylund, A, Hovland, T, Hodneland, K and Nilsen, PL (1994) Mechanisms of transmission of infectious salmon anemia (ISA). Diseases of Aquatic Organisms 19, 95100.CrossRefGoogle Scholar
O'Shea, BA (2005) Host identification and settlement of the infective copepodid stage of the salmon louse, Lepeophtheirus salmonis (Kroyer, 1837). Vol. Ph.D. pp. 246. University of Aberdeen.Google Scholar
Øvergård, AC, Hamre, LA, Harasimczuk, E, Dalvin, S, Nilsen, F and Grotmol, S (2016) Exocrine glands of Lepeophtheirus salmonis (Copepoda: Caligidae): distribution, developmental appearance, and site of secretion. Journal of Morphology 277, 16161630.CrossRefGoogle ScholarPubMed
Øvergård, AC, Hamre, LA, Grotmol, S and Nilsen, F (2018) Salmon louse rhabdoviruses: impact on louse development and transcription of selected Atlantic salmon immune genes. Developmental & Comparative Immunology 86, 8695.CrossRefGoogle ScholarPubMed
Øvergård, AC, Midtbø, HMD, Hamre, LA, Dondrup, M, Bjerga, GEK, Larsen, Ø, Chettri, JK, Buchmann, K, Nilsen, F and Grotmol, S (2022) Small, charged proteins in salmon louse (Lepeophtheirus salmonis) secretions modulate Atlantic salmon (Salmo salar) immune responses and coagulation. Scientific Reports 12, 7995.CrossRefGoogle ScholarPubMed
Øvergård, A-C, Eichner, C, Nuñez-Ortiz, N, Kongshaug, H, Borchel, A and Dalvin, S (2023) Transcriptomic and targeted immune transcript analyses confirm localized skin immune responses in Atlantic salmon towards the salmon louse. Fish & Shellfish Immunology 138, 108835.CrossRefGoogle ScholarPubMed
Pickering, AD and Pottinger, TG (1989) Stress responses and disease resistance in salmonid fish: effects of chronic elevation of plasma cortisol. Fish Physiology and Biochemistry 7, 253258.CrossRefGoogle ScholarPubMed
Poulin, R (2007) Are there general laws in parasite ecology? Parasitology 134, 763776.CrossRefGoogle ScholarPubMed
Poulin, R (2013) Explaining variability in parasite aggregation levels among host samples. Parasitology 140, 541546.CrossRefGoogle ScholarPubMed
Qi, P, Xie, C, Guo, B and Wu, C (2016) Dissecting the role of transforming growth factor-β1 in topmouth culter immunobiological activity: a fundamental functional analysis. Scientific Reports 6, 27179.CrossRefGoogle ScholarPubMed
Rebl, A and Goldammer, T (2018) Under control: the innate immunity of fish from the inhibitors’ perspective. Fish & Shellfish Immunology 77, 328349.CrossRefGoogle ScholarPubMed
Sarabian, C, Curtis, V and McMullan, R (2018) Evolution of pathogen and parasite avoidance behaviours. Philosophical Transactions of the Royal Society of London. Series B, Biological sciences 373, 20170256.CrossRefGoogle ScholarPubMed
Secombes, CJ, Wang, T, Hong, S, Peddie, S, Crampe, M, Laing, KJ, Cunningham, C and Zou, J (2001) Cytokines and innate immunity of fish. Developmental & Comparative Immunology 25, 713723.CrossRefGoogle ScholarPubMed
Selvan, S, Campbell, JF and Gaugler, R (1993) Density-dependent effects on entomopathogenic nematodes (Heterorhabditidae and Steinernematidae) within an insect host. Journal of Invertebrate Pathology 62, 278284.CrossRefGoogle Scholar
Shaw, DJ and Dobson, AP (1995) Patterns of macroparasite abundance and aggregation in wildlife populations: a quantitative review. Parasitology 111, S111S133.CrossRefGoogle ScholarPubMed
Shaw, DJ, Grenfell, BT and Dobson, AP (1998) Patterns of macroparasite aggregation in wildlife host populations. Parasitology 117, 597610.CrossRefGoogle ScholarPubMed
Skern-Mauritzen, R, Torrissen, O and Glover, KA (2014) Pacific and Atlantic Lepeophtheirus salmonis (Krøyer, 1838) are allopatric subspecies: Lepeophtheirus salmonis salmonis and L. salmonis oncorhynchi subspecies novo. BMC Genetics 15, 32.CrossRefGoogle ScholarPubMed
Skugor, S, Glover, KA, Nilsen, F and Krasnov, A (2008) Local and systemic gene expression responses of Atlantic salmon (Salmo salar L.) to infection with the salmon louse (Lepeophtheirus salmonis). BMC Genomics 9, 498.CrossRefGoogle ScholarPubMed
Somamoto, T, Koppang, EO and Fischer, U (2014) Antiviral functions of CD8(+) cytotoxic T cells in teleost fish. Development & Comparative Immunology 43, 197204.CrossRefGoogle ScholarPubMed
Susdorf, R, Salama, NKG, Todd, CD, Hillman, RJ, Elsmere, P and Lusseau, D (2018) Context-dependent reduction in somatic condition of wild Atlantic salmon infested with sea lice. Marine Ecology Progress Series 606, 91104.CrossRefGoogle Scholar
Tadiso, TM, Krasnov, A, Skugor, S, Afanasyev, S, Hordvik, I and Nilsen, F (2011) Gene expression analyses of immune responses in Atlantic salmon during early stages of infection by salmon louse (Lepeophtheirus salmonis) revealed bi-phasic responses coinciding with the copepod-chalimus transition. BMC Genomics 12, 141.CrossRefGoogle ScholarPubMed
Torrissen, O, Jones, S, Asche, F, Guttormsen, A, Skilbrei, OT, Nilsen, F, Horsberg, TE and Jackson, D (2013) Salmon lice-impact on wild salmonids and salmon aquaculture. Journal of Fish Diseases 36, 171194.CrossRefGoogle ScholarPubMed
Tort, L (2011) Stress and immune modulation in fish. Developmental & Comparative Immunology 35, 13661375.CrossRefGoogle ScholarPubMed
Ugelvik, MS and Dalvin, S (2022) The effect of different intensities of the ectoparasitic salmon lice (Lepeophtheirus salmonis) on Atlantic salmon (Salmo salar). Journal of Fish Diseases 45, 11331147.CrossRefGoogle ScholarPubMed
Ugelvik, MS, Mo, T, Mennerat, A and Skorping, A (2017a) Atlantic salmon infected with salmon lice are more susceptible to new lice infections. Journal of Fish Diseases 40, 311317.CrossRefGoogle ScholarPubMed
Ugelvik, MS, Skorping, A and Mennerat, A (2017b) Parasite fecundity decreases with increasing parasite load in the salmon louse Lepeophtheirus salmonis infecting Atlantic salmon Salmo salar. Journal of Fish Diseases 40, 671678.CrossRefGoogle ScholarPubMed
Ugelvik, MS, Skorping, A, Moberg, O and Mennerat, A (2017c) Evolution of virulence under intensive farming: salmon lice increase skin lesions and reduce host growth in salmon farms. Journal of Evolutionary Biology 30, 11361142.CrossRefGoogle ScholarPubMed
Ugelvik, MS, Mæhle, S and Dalvin, S (2022) Temperature affects settlement success of ectoparasitic salmon lice (Lepeophtheirus salmonis) and impacts the immune and stress response of Atlantic salmon (Salmo salar). Journal of Fish Diseases 45, 975990.CrossRefGoogle ScholarPubMed
Valenick, LV, Hsia, HC and Schwarzbauer, JE (2005) Fibronectin fragmentation promotes α4β1 integrin-mediated contraction of a fibrin–fibronectin provisional matrix. Experimental Cell Research 309, 4855.CrossRefGoogle ScholarPubMed
Wang, T, Hu, Y, Wangkahart, E, Liu, F, Wang, A, Zahran, E, Maisey, KR, Liu, F, Xu, Q, Imarai, M and Secombes, CJ (2018) Interleukin (IL)-2 is a key regulator of T helper 1 and T helper 2 cytokine expression in fish: functional characterization of two divergent IL2 paralogs in salmonids. Frontiers in Immunology 9, 122.Google Scholar
Wilson, K, Bjørnstad, ON, Dobson, AP, Merler, S, Poglayen, G, R, SE, Read, AF and Skorping, A (2002) Heterogeneities in macroparasite infections: patterns and processes. In Hudson, J, Rizzoli, A, Grenfell, BT, Heesterbeek, H and Dobson, AP (eds), The Ecology of Wildlife Diseases. Oxford: Oxford University Press, pp. 644.CrossRefGoogle Scholar
Zou, J and Secombes, CJ (2016) The function of fish cytokines. Biology 5, 23.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Investigated transcripts, main function and previously reported expression in salmon lice-infected fish

Figure 1

Table 2. Forward (F) and reverse (R) primers for the investigated immune and wound healing genes (denoted*) used in RT-qPCR setup

Figure 2

Figure 1. Parasite success (the number of lice infecting and surviving on the host until sampling) for the treatment groups infected with a single dose of copepodids (60 lice per fish) at the chalimus (a) and pre-adult stages (b), respectively. Fish in the Aducop group were previously infected with adult lice (4 females and 3 males per fish), while fish in the Copcop group was previously infected with copepodids (60 lice per fish × 2). Fish in the Cop group was unexposed to salmon lice prior to the copepodid infection.

Figure 3

Table 3. Output from glm models exploring the effect of treatment on lice success (i.e. infection success and survival) and at the chalimus and pre-adult stages

Figure 4

Table 4. To investigate if lice success differed between treatments, multiple comparisons were performed using the emmeans function in R at both the chalimus and pre-adult stages

Figure 5

Figure 2. Total number of lice (i.e. lice from both infections for fish in the Aducop and Copcop groups) (±s.e.) for the different treatments (Aducop, Copcop, Cop and Copx2 groups) depending on sampling [1 (chalimus), 2 (pre-adult) and 3 (adult)].

Figure 6

Table 5. Output from linear mixed-effect model exploring the effect of the total number of lice and treatment on plasma cortisol levels depending on stage

Figure 7

Table 6. Output from ANOVA test exploring the effect of the total number of lice and treatment on plasma cortisol levels depending on stage

Figure 8

Figure 3. Mean plasma cortisol levels (ng mL−1) (±s.e.) in fish depending on sampling (1–3) for the different experimental treatments. Fish belonging to the Aducop group was previously infected with adult lice (4 females and 3 males per fish), while fish in the Copcop group was previously infected with (60 copepodids per fish). Fish in the Cop and Copx2 group were unexposed to salmon lice prior to the copepodid infection. During the infection, fish in the Cop, Aducop and Copcop groups were infected with a single dose of copepodids (60 copepodids per fish), while fish in the Copx2 group was infected with a double dose of copepodids (120 copepodids per fish).

Figure 9

Table 7. Output from the linear mixed-effect model to explore if start weight differed between the treatments

Figure 10

Table 8. Output from the ANOVA test to explore if start weight differed between the treatments

Figure 11

Figure 4. Mean specific growth rate (±s.e.) at sampling 1–3. Start weight for all groups was recorded at 24 days past the first exposure for the Copcop group (lice from the previous infection had become pre-adults). At this date, fish belonging to the Aducop group were also infected with adult lice (4 females and 3 males per fish). Seven days later (30 dpi), all groups were infected with either a single (Aducop, Copcop and Cop) or a double dose (Copx2) of infectious copepodids (60 and 120 lice per fish, respectively). Weight was recorded when louse from infection had developed into the chalimus (sampling 1, 42 dpi), pre-adult (sampling 2, 51 dpi) and adult stage (sampling 3, 60 dpi).

Figure 12

Table 9. Output from the linear mixed-effect model exploring the effect of treatment and total number of lice on specific weight gain depending on stage

Figure 13

Table 10. Output from the ANOVA test exploring if the specific growth rate was affected by treatment and the total number of lice

Figure 14

Figure 5 (a–p). Relative mRNA levels (±s.e.) in skin samples for selected immune and wound healing gene transcripts depending on treatment and lice development stage in infected fish (Cop, infected once with a single dose of copepodids; Copx2, infected once with a double dose of copepodids; Copcop, infected twice with a single dose of copepodids; Aducop, infected with adult lice and later infected with a single dose of copepodids). Skin samples were taken either directly under the lice (black columns) or away from the site of infection (white columns). The expression level is expressed as 2−ΔΔCTs.e.) in sites under and away from site of infection compared to sites without lice in the Cop group (*denotes significant difference in expression). The horizontal line is set at y = 1.

Supplementary material: File

Stølen Ugelvik et al. supplementary material
Download undefined(File)
File 60.3 KB