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. 2020 Oct 2;15(10):e0239827. doi: 10.1371/journal.pone.0239827

Impact of a candidate vaccine on the dynamics of salmon lice (Lepeophtheirus salmonis) infestation and immune response in Atlantic salmon (Salmo salar L.)

Jaya Kumari Swain 1,¤,*,#, Yamila Carpio 2,*,#, Lill-Heidi Johansen 1, Janet Velazquez 2, Liz Hernandez 2, Yeny Leal 2, Ajey Kumar 3, Mario Pablo Estrada 2,*
Editor: Simon Clegg4
PMCID: PMC7531828  PMID: 33006991

Abstract

Infection with parasitic copepod salmon louse Lepeophtheirus salmonis, represents one of the most important limitations to sustainable Atlantic salmon (Salmo salar L.) farming today in the North Atlantic region. The parasite exerts negative impact on health, growth and welfare of farmed fish as well as impact on wild salmonid populations. It is therefore central to ensure continuous low level of salmon lice with the least possible handling of the salmon and drug use. To address this, vaccination is a cost-effective and environmentally friendly control approach. In this study, efficacy of a vaccine candidate, containing a peptide derived from ribosomal protein P0, was validated post infestation with L. salmonis, at the lab-scale. The sampling results showed good potential of the vaccine candidate when administered intraperitoneally in the host, in reducing the ectoparasite load, through reduction of adult female lice counts and fecundity and with greater presumptive effect in F1 lice generation. The sampling results correlated well with the differential modulation of pro-inflammatory, Th1, Th2 and T regulatory mediators at the transcript level at different lice stages. Overall, the results supports approximately 56% efficacy when administered by intraperitoneal injection. However, additional validation is necessary under large-scale laboratory trial for further application under field conditions.

Introduction

Atlantic salmon (Salmo salar L.) is the most important economical species in aquaculture with a production value of 14.7 billion US dollars in 2014 [1] with Norway, Chile and Scotland being the top three salmon producers. However, with increased production the alarm about the impact and number of diseases has also augmented, with parasitic salmon lice emerging as one of the most important in recent years in all the three major salmon-producing countries.

Two lice species represents primary concern for salmon farming: Lepeophtheirus salmonis in the Northern Hemisphere and Caligus rogercresseyi in the Southern Hemisphere [2]. In this study, we focused on, a single caligid copepod species L. salmonis, which predominates in the North Atlantic, causing year-round infestations of Atlantic salmon housed in marine cages, with concomitant ramifications for fish health in both farmed and wild salmonids as well as for aquaculture economics and sustainability [3]. However, the introduction of more and more salmon farms has significantly increased both the number and density of available susceptible hosts as well as parasite abundance in the coastal waters round the year [4].

Sea lice parasitize salmon during the marine phase of the life cycle, in both wild and farmed salmon, by attaching to their skin often close to gills and fins, feeding on the mucus, epithelial tissues and blood; reproducing on the host and releasing the eggs into the seawater. In seawater, the eggs hatch and develop into planktonic infective stages to parasitize the available host repeatedly [5], thus causing increased parasitic burden on the hosts. If left untreated, this can lead to impaired growth, osmoregulatory stress and open wounds, which can facilitate the entry of other pathogens [5, 6]. The impaired growth and secondary infections cause significant negative animal welfare and economic impact [7]. Moreover, relative to other salmonids, Atlantic salmon have limited ability to resist infection by L. salmonis and is therefore highly susceptible to the parasite [8]. The transfer of sea lice infestation from farmed to wild salmonids is of great concern [9]. Therefore, control of lice is the first basic priority for the industry, for further sustainable development. As a result, regulatory affairs departments in salmon producing countries have enforced strict limitations to the allowed sea lice levels in a farm. These regulations in turn impose treatments through different chemical, physical and biological methods at frequent intervals and thus directly increase the control-related costs.

However, pesticide use is significantly reduced now-a-days due to widespread resistance to these drugs and environmental pollution [1012]. Increased frequency of treatment methods and salmon handling by drug-free treatments in the salmon farms has led to challenges with production cost, handling stress, injury, risk of secondary infection, mortality and thus impaired fish welfare. This has increased the necessity to develop new and alternative preventive measures [13, 14], which can document effect on lice and guarantee the fish welfare [15, 16]. To address this, vaccination against salmon lice could be an important alternative, since it is well-known that fish vaccines have greatly contributed to reducing the use of drugs (especially antibiotics) against several fish diseases.

Although L. salmonis has been an area of research for several decades [2, 3, 5¸ 6, 17], understanding the mechanisms behind the protection and development of prototype vaccines has been relatively slow and is still in its infancy. Approaches so far used have met with little or no success due to challenges in identification of protective antigens and mechanisms. Most strategies for sea lice vaccines have adopted similar approaches used for vaccines against other ectoparasites in mammals, for example vaccines against ticks [18].

The present study utilized a previously obtained vaccine candidate based on ribosomal protein P0 for its validation at the laboratory scale [19]. The P0 protein, having a molecular mass between 34–38 kDa, is highly conserved among eukaryotes [20]. The P0 peptide selected as antigen is located in a region of low sequence similarity between the lice P0 protein and those of its salmon host, in order to avoid the induction of tolerance in the parasite or production of auto-antibodies in the salmon host. In addition, to increase its immunogenicity, promiscuous T-cell epitopes (TCEs) from tetanus toxin and measles virus were fused to the N-terminus of a 35 amino acids peptide from the ribosomal P0 protein of L. salmonis [19]. These TCEs are universally immunogenic in mammalian immune systems [21] and reported to improve vaccine efficacy in salmonids [22]. In our previous study, the candidate vaccine has shown to induce specific IgM response against pP0 compared to only synthetic pP0, in different teleost species including Atlantic salmon [19].

The purpose of this study was to investigate if the candidate vaccine is able to provide protection, either in terms of reduced lice count or reduced fecundity or both. Therefore, we targeted to study the impact of the candidate vaccine at different stages of parasite infestation, post immunization, under controlled laboratory conditions. Moreover, to highlight the vaccine’s further impact on F1 generation hatching efficiency, egg strings collected from the parasitized adult female lice were hatched and compared. Simultaneously, host-lice interaction studies at the gene level were performed to explore the immune modulation in response to vaccination for the first time at different life stages of lice infestation.

Materials and methods

Antigen purification

The antigen is P0 based protein, which was granted patent for vaccine antigen (Vaccine composition for controlling ectoparasite infestations PCT/CU2011/000005). P0 based antigen protein was purified as described previously by Leal et al. (2019) [19]. Briefly, inclusion bodies were obtained by harvesting induced bacteria cells and centrifugation at 10,000 x g for 10 min at 4°C. The cell pellets were resuspended in 300 mM NaCl, 10 mM Tris, pH 6 and were disrupted in French Press (Ohtake, Japan) at 1 200 kgf/cm2. The disrupted cell suspension was centrifuged at 10,000 x g for 10 min at 4°C and the cell pellet containing the protein was suspended in 1M NaCl, 1% Triton X-100 using politron Ultra-Turrax T25, IKA WERKE and centrifuge again at 10,000 x g for 10 min at 4°C. This step was repeated once again and purified inclusion bodies were suspended in PBS (16 mM Na2HPO4, 4 mM NaH2PO4, 120 mM NaCl, pH 7.4). Protein concentration was determined by bicinchoninic acid assay (BCA) assay (Pierce, USA) according to the manufacturer’s instructions and by densitometry scanning of protein gels. Protein samples were checked by SDS-PAGE on 15% polyacrylamide gels and western blotting.

Fish husbandry

The experiment was approved by the Norwegian Food Safety Authority, (Mattilsynet), application ID 14617 (https://www.mattilsynet.no/sok/?search=ID+14617). The oversight of the animal welfare and care was undertaken as a part of the approval from the Norwegian Food Safety Authority. In Norway, the National Animal Research Authority (NARA) equivalent to animal ethics committee is a part of Norwegian Food Safety Authority (Mattilsynet). The experiment was performed at the Aquaculture Research Station (Tromsø, Norway). Atlantic salmon (AquaGen standard, average weight 40 ± 6), at a density of 10 kg/m3 were kept in circular 500 L tanks supplied with filtered circulating fresh water for 2 weeks at an ambient temperature of approximately 10°C with 24 h light (summer stimuli) for acclimation. Fish were fed with a commercial pellet diet (Nutra Olympic, Skretting).

Fish immunization

Three 500 L tanks were stocked with 120 fish each, one tank assigned to each of the 3 experimental groups: procedural control (Group 1), injected vaccine (Group 2), and injected vaccine + bath immunization (Group 3). Each tank was supplied with continuous circulating water flow throughout the experimental period and oxygen level and temperature were recorded daily. For vaccine formulation, recombinant antigen protein or PBS control were adjuvanted in Montanide ISA50 V2 (Seppic, France) at a ratio of 50/50. Montanide ISA50 V2 has been successfully used in salmon as an adjuvant [23]. Our previous observation has also shown that ISA50 works better compared to fish specific adjuvant ISA763 (unpublished observation).

Immunization and challenge schedule are outlined in Fig 1. The fish were starved for one day before vaccination. Prior to vaccination, fish were anaesthetized in 0.005% benzocaine. First immunization was performed as follows: each fish in the control group (Group 1) received 0.05 mL of PBS emulsified in adjuvant by intraperitoneal (ip) injection; second group (Group 2) received ip injection at a dose of 1 μg/gram body weight (gbw) of the recombinant antigen protein emulsified in adjuvant; and third group (Group 3), received ip injection at 1 μg/gbw of the recombinant antigen protein emulsified in adjuvant plus bath immunized with recombinant antigen protein as inclusion bodies (200 μg/L) for 1 hour (120 fish in 200 L aerated static bath), immediately after ip injection.

Fig 1. Experimental outline.

Fig 1

Experimental design depicting experimental groups, immunization, challenge, post challenge schedule along with sampling time-points. Group details: Group 1 is control group; Group 2 received ip injection of adjuvant emulsified vaccine antigen TT-P0; Group 3 received ip injection of adjuvant emulsified vaccine antigen TT-P0 + bath immunization with TT-P0 inclusion bodies (IB).

Fifteen days post immunization, fish were transferred to seawater. After 37 days post first immunization, a booster dose was given to each fish (average weight 60 ± 10 g) at a similar dose per gram of body weight as first vaccination. Each experimental group was then kept in duplicate in 300L tanks with a stocking density of approximately 10 kg/m3. Throughout the experiment, the following experimental conditions were maintained: Temperature: 10°C; Light: 24 h; Oxygen level at outlet: ~80–90%; Salinity: 34–35 ppt.

In vivo lice challenge

After one month of booster dose, 90 fish (average weight 94 ± 16 g) from each group were bath challenged with infective copepodids of L. salmonis (Oslo/Gulen strain from Norwegian Institute of Marine Research, IMR). The groups were bath challenged in separate 500 L tanks for one hour with stopped water supply keeping the oxygen level stable through aeration. Each 500L tank received approximately 3150 copepodids to have an average distribution of about 35 copepodids/fish. Post challenge each group was distributed into triplicate tanks (500L) with 30 fish per tank and a flow rate of 5 L/min. The parasitized fish were kept in seawater with a salinity of 34.5‰, oxygen level: 80–90% and at a temperature of approximately 10°C, until the salmon lice reached desired developmental stage i.e at matured adult stage when females have developed egg strings.

Sampling and lice counting

To evaluate at which developmental life stage of lice the vaccine candidate was effective, counting of lice on 10 parasitized fish per tank i.e. 30 fish per group, were performed at 17 days post infestation (dpi) (chalimus), 28 dpi (pre-adult) and 50 dpi at mature adult stage with first reproductive egg strings (Fig 1). At 50 dpi i.e at the adult stage, both egg string number and egg string length per female were noted, for all the immunized groups and compared. Fish were taken out one at a time gently by hand net from the stocking tanks and transferred in a bucket containing a lethal dose of anesthetic water (0.01% benzocaine). Care was taken for the minimum loss of lice through netting. All fish were treated the same and were handled gently. The hand nets were checked for detached lice and the net mesh was fine enough to capture lice if any lice would have fell off. However, we cannot exclude the possibility that some egg strings or lice would have been detached from the fish or lost in the tank during handling (netting). One fish per bucket was anaesthetized before lice counting and sampling of tissues. To avoid counting error of detached lice due to anesthesia and handling, counting of chalimus at 17 dpi, pre-adults at 28 dpi and adults at 50 dpi on individual parasitized fish were performed under water in a white tray. After lice counting from each fish per tray the remaining water in the tray and bucket were checked for detached lice.

At pre-challenge sampling points, fish were humanely euthanized using 0.01% benzocaine prior to measurement of length and weight as well as collection of different tissues (skin, spleen and head kidney) for gene expression study. Further, spleen, head kidney and skin tissues were sampled aseptically from 18 fish per group (6 fish/tank). Tissue samples were immediately transferred to RNA later (Ambion) and kept at 4°C overnight and then stored at -20°C. Overall sampling time-points as outlined in Fig 1 were at 0 (prior to 1st vaccination), 69 (31 days post booster) days post vaccination or 0 day challenge, and 17 (chalimus), 28 (pre-adult) and 50 (adult) dpi.

Incubation of collected egg strings for F1 generation hatching

To analyze the effect of vaccine on F1 generation copepodids production, first reproductive egg strings, detached from gravid females at 50 dpi were incubated in well-aerated filtered seawater. This was to determine the effect, vaccine candidate had on hatching efficiency of the F1 generation copepodids. Fifty egg strings (sampled from the first reproductive event at 50 dpi) from each experimental group were randomly distributed and incubated in 5 parallel aerated flow-through incubators (containing 500 mL filtered seawater/incubator at ~10°C) having 10 egg strings per incubator for 8 days, to study the hatching success to F1 generation copepodids. First visual observation was done on day eight post incubation and final counting was performed at day ten. Copepodids density was estimated by taking 10 mL water samples from each replicate and counting of copepodids was performed using dissecting microscope. This observation was repeated four times for each replicate.

Vaccine efficacy

The overall efficacy (in percentage) of the candidate vaccine was calculated using the following formula:

Vaccineefficacy(%)=100x[1-(FExLExCE)]

Where FE is the effect on female survival to maturity, LE is the effect on fecundity of adult females (using egg string length as a proxy for fecundity), and CE is the effect on hatching and survival of F1 offspring to the copepodid stage.

Observation of side effects

Usually, adjuvanted vaccines may cause inflammation, granuloma and pigmentation at the site of injection. To check the side effects of the candidate vaccine having the Montanide ISA50 as an adjuvant, visual scoring and analysis of the vaccine side effects resulting in adhesion was performed using the Speilberg scoring method according to the criteria detailed by Midtlyng et al. (1996) [24]. A separate score for pigmentation for each fish was assigned according to the table in Fig 4B. Fish weight and length were registered and the condition factor (K) was calculated according to Barnham and Baxter (1998) [25] using Fulton mathematical formula:

K=(10NW)/L3

Fig 4. Side effects of TT-P0 vaccine post immunization.

Fig 4

(A) Growth (weight and length) and condition factor of the fish post immunization and challenge at different sampling points: Pre-immunization (0 d), 69d post immunization (69 d) and at different days post infestation (dpi) based on the different lice stages during infection: 17 dpi (chalimus), 28 dpi (pre-adult) and 50 dpi (adult). (B) Visual scoring and analysis of the vaccine side effects resulting in adhesion (left panel) and pigmentation (right panel) near the vaccination site. Data are shown as the mean + SD of the parameters under analysis (n = 30). Based on normal distribution test, one-way ANOVA or Kruskal Wallis test was done followed by Tukey or Dunn's Multiple Comparison. Asterisk (*) indicates statistical difference *(P < 0.05), **(P < 0.01), ***(P < 0.001) between the groups with respect to control (Group1). Group details: Group 1 is control group; Group2 received ip injection of adjuvant emulsified vaccine antigen; Group 3 received ip injection of adjuvant emulsified vaccine antigen + bath immunization.

K: is the Condition Factor or Coefficient of Condition; often referred to as the "K factor".

W: is the weight of the fish in grams (g).

L: is the length of the fish in millimeters (mm). In the case of salmonids, length is measured from the tip of the snout to the rear edge of the fork at the center of the tail fin; known as length to caudal fork (LCF). The cube of the length is used because growth in weight of salmonids is proportional to growth in volume.

N = 5; having weighed and measured thousands of salmonids from Victorian waters, the value of N used by the Department for determining K is set at this figure to bring the value of K close to unity.

Gene expression studies

All organs from the sampled fish, kept in RNA-later (Ambion, Austin, TX, USA) were subsequently processed for RNA isolation. Total RNA was extracted by MagMAX™-96 Total RNA Isolation Kit (Invitrogen), including turbo DNase treatment (Invitrogen) according to manufacturer’s instruction.

Analysis of gene expression by Real-time PCR (QPCR) was performed in duplicates with a QuantStudio 5 Real-Time PCR System (Applied Biosystems) using SYBR Green (Applied Biosystems) in 384 well plates. For each mRNA, gene expression was normalized to the geometric mean of the 3 house-keeping genes (EF-1a, 18S and β-actin) in each sample and fold change was calculated according to Pfaffl method [26] considering the primer efficiency (E). Primer sequences used for gene expression studies are listed in Table 1.

Table 1. Primer sequences used for the real-time PCR analysis.

GENE TARGET NAME ACCESSION No. FORWARD (5–3') REVERSE (5–3') AMPLI-CON
Immuno-globulin M (secretory) IgMs BT060420 CTACAAGAGGGAGACCGGAG AGGGTCACCGTATTATCACTAGTTT 90
Immuno-globulin T IgT GQ907004 CAACACTGACTGGAACAACAAGGT CGTCAGCGGTTCTGTTTTGGA 97
Tumor necrosis factor alpha1 TNFα1 AY929385 ACTGGCAACGATGCAGGACAA GCGGTAAGATTAGGATTGTATTCACCCTCT 144
Interleukin 1 beta IL-1β AY617117 GCTGGAGAGTGCTGTGGAAGAAC CGTAGACAGGTTCAAATGCACTTTGTG 220
Interferon gamma IFN-γ AY795563 GATGGGCTGGATGACTTTAGGATG CCTCCGCTCACTGTCCTCAAA 166
Interleukin-4/13A IL-4/13A EG837625 CCACCACAAAATGCAAGGAGTTCT CCTGGTTGTCTTGGCTCTTCAC 147
Cluster of Differentiation 4 CD4 EU585750 CGGAAGCGAGGGATATAAATGGTG GGCATCATCACCCGCTGTCT 215
Cluster of Differentiation 8 alpha CD8α AY693393 GACAACAACAACCACCACGACTACAC GCATCGTTTCGTTCTTATCCGGTT 211
Matrix metallo-proteinase-9 MMP-9 AGKD01108865 TGGAGAGAACTACTGGAGGCTGGA CCGACAGAAGTAGATGTGGCCCTT 142
Interleukin 8 IL-8 HM162835 TCCTGACCATTACTGAGGGGATGA AGCGCTGACATCCAGACAAATCTC 200
Interleukin 10 IL-10 EF165028 CTGTTGGACGAAGGCATTCTAC GTGGTTGTTCTGCGTTCTGTTG 129
Interleukin 22 IL-22 DW572073 GGCCCGAGTCAGCAGAGACCT CTCCTCCATCCCGGCCAACTTC 106
Beta actin* β-actin BT059604 CAGCCCTCCTTCCTCGGTAT CGTCACACTTCATGATGGAGTTG 72
Elongation factor 1-α* EF1α AF498320 CAAGGATATCCGTCGTGGCA ACAGCGAAACGACCAAGAGG 327
18 S ribosomal RNA* 18 S rRNA AJ427629 TGTGCCGCTAGAGGTGAAATT CGAACCTCCGACTTTCGTTCT 101

(*) indicates reference genes used in this study for normalization.

Statistical analysis

The results were analyzed and expressed as mean ± standard deviation (SD) unless otherwise stated. SD was calculated across all fish within a group. Statistical analysis was performed and graphs were made using the Prism 6.01 software for Windows (GraphPad software, San Diego, CA, USA). For lice counts and fecundity parameters, Mann-Whitney test was performed due to unequal variances to compare vaccinated groups (Group 2 or 3) with control (Group 1). Prior to individual gene expression data analysis, outliers were calculated and identified using the ROUT method through Prism 6.01 software for Windows and were removed from the subsequent gene expression statistical analysis. Normal distribution was assessed using D'Agostino & Pearson omnibus normality test. Multiple comparison were performed using analysis of variance (ANOVA) or Kruskal Wallis test depending on the normal distribution and equal variance of the data followed by Tukey or Dunn’s Multiple Comparison post hoc tests. P-values < 0.05 were considered statistically significant. Two-way hierarchical clustering analysis heat map and dendrogram of relative gene expression data and experimental groups were generated in R language using ComplexHeatmap package by Gu, Z et al. (2016) [27]. For Principal component analyses, "FactoMineR" package of the R statistical software (v3.6.2) was used to calculate the principal components and visualizations were constructed using "factoextra" package. Ellipses in the PCA graph are confidence ellipses with a confidence level of 0.95 and the centroids represent the center of the mass of the points per group.

Results

Impact of the vaccine candidate post lice infestation

At 17 dpi, mean number of chalimus (± SD) attached per fish was 20.00 (± 8.08), 25.17 (± 10.02) and 23.70 (± 12.41) for group 1, group 2 and group 3, respectively (Fig 2A). No significant differences among groups were detected at 17 dpi. At 28 dpi, mean PA count per fish was 12.83 (± 6.29), 12.73 (± 5.13) and 17.77 (± 7.28) for control, group 2 and 3, respectively, where group 3 showed more PA per fish as compared to groups 1 and 2 (P < 0.01). Finally, at 50 dpi, mean infestation rate of adult lice per fish was reduced to 5.13 (± 2.94), 4.06 (± 2.53) and 5.50 (± 2.63) for group 1, 2 and 3, respectively, and compared to control, group 2 showed an overall reduction tendency of 21% (Fig 2A and Table 2), although not significant. Moreover, development rates of L. salmonis throughout the experiment were nearly identical between the immunized and the control group.

Fig 2. Efficacy of TT-P0 vaccine on lice counts and fecundity of adult female lice post infestation.

Fig 2

(A) Bar graph showing average lice count / fish for different immunized groups at different lice stages post infestation (dpi): chalimus (17 dpi), pre-adult (28 dpi) and adults (50 dpi). Adult lice on the experimental fish were sampled at 50 days post infestation (dpi). The sampled lice were counted for total number of males, females and female’s fecundity parameters per fish. Data showing, (B) Female numbers, (C) Male numbers, (D) Females with eggs, (E) Egg string length, for different groups per fish at 50 dpi. Data shown as mean + SD. A Mann-Whitney test was performed due to unequal variances to compare vaccinated groups (Group 2 or 3) with control (Group 1). Asterisk indicates statistically significant differences compared to control group (*P < 0.05, ** P < 0.01). (F) Photograph of leftover egg strings (after removal of 50 egg strings for F1 generation hatching experiment) representing the visual number of total egg strings in different groups. Group details: Group 1 is control group; Group 2 received ip injection of adjuvant emulsified vaccine antigen; Group 3 received ip injection of adjuvant emulsified vaccine antigen + bath immunization. Sampling was done from 10 fish per tank, 3 replicate tanks, thus 30 fish per experimental group.

Table 2. Effect of vaccination on salmon lice infestation following adult stage of lice.

Experimental groups Number of Fish (n) Reduction of adult lice number Reduction of adult females Reduction of gravid females with eggs Reduction of egg string length (mm) Reduction in F1 copepodids
Group 2 30 21% 40% * 42.5% * 5% 23%
(P < 0.02) (P < 0.04)
Group 3 30 3% 8% 22% 6%* 4%
(P < 0.04)

*Shows significant difference with respect to control group. Group 2 is ip vaccinated group; Group 3 is ip vaccinated + bath immunization group. The percentage values were derived compared to control (group 1) from the data shown in Figs 2 and 3.

Although there were no great differences between the total lice counts per fish on the immunized and control fish regardless of louse life stages, statistically fewer adult female lice (40% reduction), and fewer number of female lice with eggs (42.5% reduction) per fish were present on group 2 immunized fish compared to control. However, no differences were observed in group 3 compared to control (Fig 2B and 2D and Table 2). During the 50 dpi sampling, all egg strings were collected from the gravid females. Most of the gravid females had two egg strings. Gravid female lice removed from the immunized fish showed shorter egg string length compared to the control group, of which group 3 had significant reduction of 6% (P < 0.04) (Fig 2E and Table 2). The results mentioned above clearly showed reduced number of eggs produced by females in group 2 (42.5% reduction, P < 0.04) and thus supports significantly reduced fecundity in terms of reduced egg string data and less gravid females in group 2 (Table 2). Overall, lice-induced damage on the parasitized fish was low and no wounds were visually observed on any of the experimental fish. Furthermore, there was no evidence of any secondary infections either on the surface or in internal organs of the infected fish.

Impact on hatching efficiency of F1 generation copepodids

Post egg string measurement, a total of 50 egg strings from each experimental group were divided into 5 replicates (10 egg strings per replicate), for the F1 incubation experiment. Fig 2F shows the leftover egg strings (from the total egg strings collected from gravid females at 50 dpi), after the removal of 50 egg strings for the hatching experiment. During incubation, hatching of the egg strings were followed in each group to check if the reduced female fecundity of group 2 in F0 generation had any consequences in the early F1 generation. Subsequently, the F1 copepodids were observed on day 8 and counted on day 10 post-incubation, and data were analyzed. At day 8, the hatching success of egg strings removed from lice on the immunized group were delayed and reduced, especially in group 2, compared to the control group (S1 Table). This correlates well with the reduced fecundity in the F0 generation of group 2 gravid females. However, the counting at day 10 showed a reduction of 23% and 4% infective copepodids in the vaccinated group 2 and 3, respectively (Fig 3 and Table 2). The percentage reduction of copepodids on day 10 was not high, as expected based on observation made on day 8 (S1 Table). This was due to some unseen or technical problem occurred during the weekend, resulting in some unexpected mortality of the copepodids before counting on day 10. The experiment was not possible to repeat due to limited time and resources available.

Fig 3. TT-P0 vaccine’s effects on F1 generation hatching and copepodids number.

Fig 3

Bar graph showing total number of copepodids 10 days post incubation of egg strings. Fifty egg strings (sampled from the first reproductive event at 50 dpi) from each experimental group were randomly distributed and incubated in 5 parallel aerated flow-through incubators (containing 500 mL filtered seawater/incubator at ~10°C) having 10 egg strings in each incubator. The bar shows the mean value + SD in 5 replicate incubators for each experimental group. Group details: Group 1 is control group; Group 2 received ip injection of adjuvant emulsified vaccine antigen; Group 3 received ip injection of adjuvant emulsified vaccine antigen + bath immunization.

Overall, the vaccine efficacy of group 2 was the best among the groups with an efficacy of 56%, whereas group 3 efficacy was 25%. The terminology “vaccine efficacy” used here should not be interpreted as protection obtained. The proposed formula aims to evaluate the impact of vaccination over female lice fecundity and the effect on hatching and survival of F1 offspring to the copepodid stage.

Side effects analysis

Fish weight, length and condition factor (K) were analyzed at all sampling points. Immunized fish had less weight and length post lice challenge as compared to the control group (Fig 4A). The reduction in weight in groups 2 and 3 compared to group 1 were 13–10%, respectively. The reduction in length were 6% in both the vaccinated groups compared to control group 1. The condition factor was acceptable (1.2) and it was the same for all the groups at different sampling times (Fig 4A). For salmonids, K values usually fall in the range 0.8 to 2.0 [25].

Moreover, side effects of the candidate vaccine having the Montanide ISA50 V2 adjuvant were analyzed using Speilberg and pigmentation scoring at 50 dpi. Speilberg scoring at 50 dpi showed that the control group had an average score of 2.0 compared to group 2 and 3, which showed an average score of 2.8, i.e below 3, which is in an acceptable range for adhesion (Fig 4B).

Pigmentation score was significantly less in the immunized groups compared to the control group, as shown in Fig 4B. Pigmentation was observed only on the epithelial lining and not in muscle or tissue within the peritoneum.

Simultaneously, individual fish checked for vaccine depots had vaccine residues, which were encapsulated by connective tissue as small pockets. The injection site was checked for redness and lesions and looked normal in all the fish.

Effect of vaccination combined with L. salmonis infestation on tissue specific gene expression

Gene expression of pro-inflammatory mediators (TNF-α, IL-1β, IL-8); Th17 and regulatory mediators (IL-22, IL-10); Th1 and Th2 mediators (IFN-γ, IL-4/13A); immunoglobulin genes and cellular markers (IgM, IgT, CD4, CD8α); and tissue remodeling gene matrix metalloprotease 9 (MMP9), were studied to evaluate the immune response of vaccinated fish to salmon lice infestation at different stages of their life-cycle, compared to control fish. Both anterior kidney and spleen, the main immune organs in teleost fish, were used to evaluate systemic responses and skin was used to evaluate the local immune response to salmon lice infestation.

Global assessment: Heat map and hierarchical clustering

To obtain an overview of the expression profiles of the different groups tested at different sampling points corresponding to different lice stages, heat maps were constructed with hierarchical clustering. Hierarchical clustering of all the genes studied, identified three clusters representing a differential clustered expression pattern with respect to spleen tissue (Fig 5A).Hierarchical clustering of the experimental groups at different sampling time points pre and post infestation (Fig 5B), also identified 3 clusters for all the tissues studied, showing differences in gene expression under different lice infestation stages and treatment groups. Gene expression cluster comparison showed that the pro-inflammatory cytokines, T-regulatory mediators, Th1 and Th2 mediators and T cell surface markers were strongly clustered. A clear pattern of different upregulated gene clusters were visible in different tissues, showing highly upregulated cluster of pro-inflammatory cytokines genes in spleen, highly upregulated regulatory cytokine genes in head kidney and mixed upregulated gene expression of Th1, Th2, T reg, IgM and IL-8 in skin. These results showed that, apart from lymphoid organs, local response played a major role during the host-parasite interaction at later stages post infestation i.e 28 dpi in the vaccinated groups (group 2 and 3). On the other hand, column-wise comparison based on different sampling time-points, within respective groups, showed strong clusters with respect to substantial gene upregulation at 28 dpi in vaccinated groups (group 2 and 3) in skin, at 17 and 50 dpi (group 3), and 28 dpi (group 2) in spleen and at 17 dpi (group 2 and 3) as well as 28 dpi (group 2) in head kidney. Consequently, evaluating the two-way hierarchical clustering analysis for all the tissues, vaccinated group 2 at 28 dpi showed the highest number of upregulated genes compared to the control group. However, vaccinated group 3 showed higher number of upregulated genes at 17 dpi in spleen and head kidney and at 28 dpi in skin. Heat map with two-way clustering of genes studied in the individual tissue is given in Figs 1 in S1.

Fig 5. Hierarchical clustering analysis heat map and dendrogram of relative gene expression data over different sampling time points pre and post infection within the vaccinated groups, and for three different tissues.

Fig 5

(A) indicates the pattern of gene expression across different groups and tissues. It also shows one-way clustering of differentially expressed genes on the right with respect to spleen whereas (B) shows two way hierarchical clustering of genes on the right and group wise sampling time-points on the top. Differential gene expression is represented for all genes as a colour gradient across all sampling points within different groups from brick red (lowest) to black (highest) for spleen, green (lowest) to dark orange (highest) for head kidney, blue (lowest) to red (highest) for skin. Group details: Group 1 is control group; Group2 received ip injection of adjuvant emulsified vaccine antigen; Group 3 received ip injection of adjuvant emulsified vaccine antigen + bath immunization.

Principal component analysis (PCA)

We performed exploratory data analyses using principal component analysis (PCA) in all the tissues studied. The PCA analysis of the expression profile of the 12 selected genes in skin samples at different time points post lice infestation (Fig 6) showed that samples taken at the early stages of infection [0 day challenge (69 d) and 17 dpi] in vaccinated and control groups were very similar and with low variability. Consecutive samples (28 and 50 dpi) displayed an increasing deviation along the principal component 1 (PC1) that contributed to most (78.5%) of the observed variation. Samples taken at 28 and 50 dpi formed clearly distinct clusters, and variability among individual sampling points within groups increased with infestation time. Moreover, 28 dpi in vaccinated group 2 contributes to maximum percentage variation (~43%) in PC1 (Fig 6A and 6C). All the 12 genes studied showed significant (P<0.05) contribution in PC1 (Fig 6C) and in addition, IgT expression showed significant contribution in PC2 where 50 dpi in group 3 had maximum contribution. For head kidney and spleen, PC1 component contributed to 67.9 and 64.3% variation, respectively at 17 and 28 dpi in both the vaccinated groups (S2 and S3 Figs). Similar to skin, in head kidney also 28 dpi in vaccinated group 2 contributes to maximum percentage variation (~37%) in PC1. On the contrary, in spleen 17 dpi vaccinated group 2 showed maximum contribution of ~34% followed by 28 dpi from vaccinated group 2 (~19%) (S2C and S3C Figs). All genes showed significant contribution in PC1 expect for IL-10 and MMP9 in head kidney and CD8α in spleen (S2D and S3D Figs). This showed that vaccination together with lice infestation has significant effect on the overall gene expression profile with more significant contribution at 28 dpi in group 2 than group 3.

Fig 6. PCA analysis of skin samples pre and post lice challenge.

Fig 6

PCA analysis for the in vivo challenge samples representing the distribution of lice infested host skin samples in vaccinated (group 2 and 3) and only adjuvant vaccinated control (group 1) groups at 0, 17, 28 and 50 dpi (A and B). Analysis was based on mean fold-changes of all genes for each individual sample at each sampling point (smaller symbols) relative to the unvaccinated control. The ellipses indicate the group dispersion/variability from the centroid (larger symbols) calculated using all individual fold-changes values/group (A). (C) shows the contribution of sampling points to different components. (D) shows the contribution of genes on different components and the significant genes contributing in principal component 1 and 2.

Detailed assessment by individual gene expression analysis

The results from the overview of gene expression profiles and the exploratory data analyses clearly showed changes related to different sampling points post lice infestation and vaccination groups. Therefore, we proceeded to study these changes in detail, to further characterize gene expression levels. The overview of the relative gene expression of all the genes analyzed in this study is graphically represented in S4 Fig. The gene expression results in spleen (S4A Fig), showed that the pro-inflammatory cytokines TNF-α, IL-1β and chemokine IL-8 were significantly up-regulated starting from pre-challenge (69 d) and this trend was maintained until 50 dpi in the immunized groups compared to the control. The same results were obtained for metalloproteinase 9 (MMP-9) except at 28 dpi in spleen (S4A Fig). For IL-1β, there was also significant expression in head kidney across all sampling time-points except 17 dpi in both vaccinated groups. On the other hand, in skin IL-8 expression was up-regulated only at 28 dpi in group 2 and at both 17 dpi and 28 dpi in group 3 (S4A Fig). However, IL-1β and TNF-α in skin was downregulated in infected salmon at 50 dpi in both the vaccinated group, respectively compared to control except at day 69 (pre-challenge), where TNF-α was significantly upregulated in group 3.

The gene expression results also showed that both IgM and IgT transcript levels were significantly upregulated in the vaccinated groups compared to control in all the tissues and sampling time-points studied (S4B Fig) with exception of IgT in head kidney at 69 day post vaccination and 17 dpi. Both genes followed almost similar pattern of expression in different groups and sampling time-points, suggesting its important role in host-parasite interaction. IgT transcription in skin was up-regulated earlier, at 69d (0 day infestation) in group 3.

On the other hand, the activation of T-cell related genes: CD4, CD8α, IL-4/13A and IFN-γ showed significantly higher expression levels in the spleen at 50 dpi (S4B Fig). This trend was also seen at 28 dpi in the head kidney showing the activation of T-cell mediated immunity and the involvement of Th1/Th2 response. Significant decreasing trends of expression levels were also found in these genes at other sampling points showing different patterns of regulation depending on sampling time or experimental groups. For example, cytotoxic T cell marker, CD8α transcript was downregulated compared to the control group in most of the sampling points other than the time-points mentioned above.

In addition, T-cell mediated Th17 and regulatory cytokines, IL-22 and IL-10 shared a common trend of gene expression (S4B Fig) without any specific significant up-regulation except group 3 at 50 dpi in spleen. They were significantly downregulated in group 2 fish at 17 dpi in spleen and in head kidney at 28 dpi, whereas in group 3 fish at 28 dpi only in spleen.

Discussion

The importance of Atlantic salmon in aquaculture and its susceptibility to infestation with L. salmonis has led researchers to investigate efficient non-medicinal, cost effective and eco-friendly measures to control the sea-lice load through the possibility of vaccine development. In the current study, we used a vaccine based on the peptide of 35 amino acids from the ribosomal P0 protein of L. salmonis fused to the C-terminal of TCE's from tetanus toxin and measles virus positioned in tandem and previously tested for better antibody response [19]. Normally, housekeeping proteins are highly conserved among species and the development of a vaccine candidate based on housekeeping proteins such as P0 ribosomal protein is very challenging due to its high degree of identity between the P0 sequence of the vertebrate host and the ectoparasite. Consequently, the peptide P0 used as a vaccine candidate in this study was selected from the less conserved region between the L. salmonis and salmon.

According to the sampling results in this study, initially an overall average of about 23 attached lice at the chalimus stage were recorded from each fish sampled at 17 dpi and by the end of the experiment, these numbers reduced to about 5 adult lice per fish. The total number of lice attached at a particular developmental stage post infestation did not vary statistically between the immunized or control groups of fish, although there was a tendency of reduction at the adult lice stage in ip vaccinated group 2. However, significant impact on gravid female lice count and its reproductive efficacy with delayed hatching and reduced trend of copepodids count in F1 generation was documented also in group 2 compared to control group. This showed that the major effect of vaccine was apparent in the adult female lice and its fecundity. A similar impact on female’s R. B. microplus population was seen after challenge when a 20 aa P0 peptide derived from Rhipicephalus ticks conjugated to KLH was used to immunize cattle [28]. They reported decrease in female’s yield and weight as well as decrease in egg mass and eggs hatched compared to only KLH injected group. Similar results have also been reported using sea lice whole extract or lice protein involved in midgut function and blood digestion, as a vaccine in Atlantic salmon, resulting in fewer oviparous female lice and lower fecundity [23, 29]. Based on our results, it is expected that a reduction in parasite fecundity due to vaccination will have an exponential reduction effect on the overall lice population and thus the lice load on the host at later generations, and consequently will warrant a reduction in chemical or drug free treatments to control lice.

Analogous to the overall efficacy calculated for the pP0 antigen against R. B. microplus ticks as well as other authors [3032], we applied a formula to our experiment for estimating vaccine efficacy in order to evaluate the impact of the vaccine candidate on the lice fecundity as well as on the hatching and survival of F1 copepodids. Based on this formula, vaccinated group 2 has obtained an overall vaccine efficacy of 56% whereas group 3 showed 25%, suggesting the utility of the vaccine candidate through ip method only. However, further in-depth work has to be done. Moreover, lice count as a proxy for resistance had been questioned, since individual lice counts vary between trials and certain immune genes are affected negatively by increasing number of lice [33]. Therefore, large number of experimental animals and experimental tanks must be used in these types of immunization and challenge trials and treatment efficacy parameters other than lice count should be considered.

In Atlantic salmon, normally IgM transcripts are most abundant followed by IgT, especially in spleen and head kidney [34]. In the present study, the increase in relative expression level of IgM and IgT in spleen, head kidney and skin in vaccinated groups, indicated their important role in systemic and mucosal immune response in the context of copepodids infestation. In agreement with these results, Tadiso et al. observed 10-fold increases in IgT expression in the skin from infested Atlantic salmon and up-regulation of IgT and IgM in spleen and skin two weeks post lice infection [34], but until now, IgM and IgT responses observed in Atlantic salmon have not been associated with protection against copepodids infestation. The role of antibodies in protection against copepodids infestation in teleost has not been fully explored and needs further understanding. For future studies, it will be of greater importance to measure antigen-specific IgM in serum and in mucus by ELISA, to understand their role in protection and crosstalk during salmon lice infestation, post vaccination.

To understand the underlying immune mechanism, we assessed transcriptomic responses at systemic and local level in immunized salmon focusing on mid and late response post infestation. The results showed substantial increase in relative expression of pro-inflammatory mediators (IL-1β, TNF-α, IL-8) at the systemic level (spleen and to some extent in head kidney). This is in line with the sustained response of systemic pro-inflammatory cytokines seen in the more resistant species such as the pink salmon throughout the infection and even after rejection in these fish [35]. Barker et al. (2019) also obtained similar results with significantly higher levels of IL-1β expression at 17 dpi with sea lice [36]. The same pattern of expression held true when investigating tissue repair enzyme MMP 9 gene expression that was used as an indicator to evaluate the wound healing response of the fish to sea lice infestation. The increase in MMP 9, had been suggested by several groups as a possible mechanism for sea lice resistance in Atlantic salmon [33, 36, 37]. In addition, induced high IL-8 transcript levels in skin and spleen post vaccination (69 d) has been implicated as an inducer of neutrophil migration and antibody secreting cells locally. Furthermore, it can also be speculated that elevated systemic expression of inflammatory and T regulatory mediators, pre and post lice challenge in the vaccinated fish compared to only adjuvant control, might have been involved in local expression of IgM and IgT transcript. Moreover, early upregulation of immunoglobulin like genes in spleen, head kidney and skin, in addition to panels of immune genes, indicates a rapid activation of the systemic as well as local anti-parasitic response to some extent, which is in accordance with the results obtained by Skugor et al. (2008) [38]. This demonstrates a facilitated cross talk between immune genes in vaccinated group pre and post infection.

On the other hand, the pro-inflammatory response in skin post infestation appeared to be at the basal level compared to adjuvant control, except for IL-8, which was significantly upregulated at 17 dpi and 28 dpi of sampling for both vaccination types. It is possible that by the time systemic inflammatory response was mounted, the cytokine expression had already returned to its basal level in skin. A microarray experiment looking at the effects of early stage L. salmonis attachment showed that the local expression in skin decreased at early time points from 5 dpi, although the systemic response in the spleen remained throughout the study period [34]. As the earliest samples for gene expression in our study was taken at 17 dpi, it is possible that early transient increase of inflammatory cytokines in the skin was missed. Another possible explanation can be the sampling of skin from the standard area of the fish (near the dorsal fin and above the lateral line), regardless of louse attachment. Therefore, if the cutaneous inflammatory response is directed exclusively at the site of attachment, it would not have been targeted by the standardized skin sampling, especially if infection intensity was not as dramatic as those reported previously [34]. Matrix metalloprotease plays a role in the reconstruction process of the extracellular matrix during wound healing. In sea lice infested salmon, the slow repair of extracellular matrix is in parallel with stable up-regulation of MMP9 and MMP13 at the damaged sites, and whose excessive activity may contribute to the development of chronic wounds [38]. Here, absence of MMP-9 stimulation in skin could suggest less damage to the host with no chronic wound and subsequently less tissue repair required. This was confirmed by no visible damages to the skin during the experiment.

Despite that, immersion bath stimulates immune response, mainly in mucosal tissues such as skin [39]. The intraperitoneal injection of the candidate vaccine plus immersion bath with inclusion bodies received by group 3 was less effective, although some immune parameters were improved. The response to other parasites has often been described in terms of Th1/Th2 dichotomy, but recent studies have shown that host-pathogen interactions are more complex. A T cell effector subset Th17, characterized by the production of IL-17 and IL-22, were identified along with signature cytokines for regulatory T cell subset (T reg), being inhibitory IL-10 and/or TGF-β. Th1, Th2 and Th17 reciprocally regulates the development and function of each other, while T reg cells suppress all three subsets [34, 38, 40]. The regulatory cytokines control inflammation and thus protect against immunopathology, but in doing so they reduce the effectiveness of immune mechanisms responsible for the expulsion of the parasites. Here, pro-inflammatory response in skin might be regulated by IL-10, IL4 and IL-22 at 28 dpi of the immunized salmon but requires further study to match with the earlier time points than 17dpi. This is somewhat in accordance with the results obtained in resistant coho salmon (Oncorhynchus kisutch), although at an earlier time-point up to 72 hours [41]. We observed down regulation of IL-22 and IL-10 in spleen of salmon at chalimus stage of infection and an increase in IL-1β, TNF-α and IL-8 at subsequent pre-adult stage in group 2. In group 3, down regulation of IL-22 and IL-10 was seen in spleen at pre-adult stage of infection (28 dpi), which in turn is related to the increase observed in pro-inflammatory cytokines at adult stage (50 dpi). These differences in the regulation of inflammation could explain the differences found in the results between different vaccination methods i.e group 2 and group 3. Further studies targeting more immunological markers could clarify the mechanisms responsible for the differences between the two groups.

Previous studies have shown that the pathological effects of sea lice become especially profound for the host fish when they reach mobile stage on the host compared to the attached chalimus stage [42]. This explores the important strategy the host should develop to avoid damage on the skin through early free-ranging pre-adult lice interaction and develop resistance against it. The use of hierarchical clustering heat map and PCA analysis in this study showed a clear overview of the gene expression in different tissues across the groups at different time-points post infection and the way the genes were regulated in the vaccinated and the non-vaccinated group. Most of the genes were highly to moderately upregulated at 28 dpi in only ip vaccinated, group 2, when the infestation was at the mobile stage (pre-adult), while they were upregulated to some extent in the ip plus bath vaccinated group 3 at both chalimus and pre-adult phase. In addition, in only ip vaccinated group 2, differential gene expression, cluster analysis and principal component analysis also showed the dynamics of T-cell response as mixed Th1/Th2/T17/Treg at the pre-adult lice stage of infestation. This reflects the importance and potential of the gene modulation strategy of only ip vaccinated group compared to ip plus bath vaccinated group, against the early mobile lice stage, for effective vaccine efficacy at the later adult stage and that correlated well with the adult female lice count and fecundity data documented in the ip injected vaccine group.

Taken together, our result provided new insight into the potential of the candidate vaccine in reducing salmon lice load and its effect on host-parasite interaction with minimal side-effects. The calculated vaccine efficacy of 56% in the ip injected vaccine group suggests a larger impact on F1 parasite generation by reduced re-infection loads via fewer females and decreased fecundity. In addition, the results revealed the priming of immune response post vaccination and pre-challenge, leading to simultaneous involvement of both systemic and local immunity during the salmon lice interaction for vaccinated fish, at the mobile lice stages. These findings provided valuable leads for the effectiveness of the P0 antigen as a vaccine candidate against salmon lice (L. salmonis). However, long-term challenge trials with higher number of fish per tank and studies of re-infection post vaccination is necessary to fully understand and explore the protection potential of a candidate vaccine and underlying molecular mechanism of protection at the gene level. Another aspect to consider is that in experimental challenge conditions, the infestation load is usually very high (i.e in this validation study: 35 copepodids per fish) and is far higher compared to the natural conditions in the field. Therefore, performing a challenge experiment considering these points will be the next step for additional evaluation of the vaccine efficacy in controlling salmon lice infestation.

Supporting information

S1 Fig. Two-way hierarchical clustering heat map for each tissue.

The rows represent gene expression and the column represents different sampling points within respective groups. Group details: Group 1 is control group; Group2 received ip injection of adjuvant emulsified vaccine antigen; Group 3 received ip injection of adjuvant emulsified vaccine antigen + bath immunization.

(PDF)

S2 Fig. PCA analysis of head kidney samples post immunization and lice infestation.

PCA analysis of head kidney samples from vaccinated (group 2 and 3) and only adjuvant vaccinated (group 1) groups at 0, 17, 28 and 50 dpi (A and B). Analysis was based on mean fold-changes of all genes for each individual sample at each sampling point (smaller symbols) relative to the unvaccinated control. The ellipses indicate the group dispersion/variability from the centroid (larger symbols) calculated using all individual fold-changes values/group (A). (C) shows the contribution of sampling points to different components. (D) shows the contribution of genes on different components and the significant genes contributing in principal component 1 and 2.

(PDF)

S3 Fig. PCA analysis of spleen samples post immunization and lice infestation.

PCA analysis of spleen samples from vaccinated (group 2 and 3) and only adjuvant vaccinated (group 1) groups at 0, 17, 28 and 50 dpi (A and B). Analysis was based on mean fold-changes of all genes for each individual sample at each sampling point (smaller symbols) relative to the unvaccinated control. The ellipses indicate the group dispersion/variability from the centroid (larger symbols) calculated using all individual fold-changes values/group (A). (C) shows the contribution of sampling points to different components. (D) shows the contribution of genes on different components and the significant genes contributing in principal component 1 and 2.

(PDF)

S4 Fig. Transcriptional analysis of immune genes post immunization and lice infection.

Transcript levels of the pro-inflammatory cytokines (A) and immune genes (B) in spleen, head kidney and skin at different sampling points: 69 days from first vaccination (69d) or zero day challenge and after challenge (dpi: days post infestation), were analysed by real-time QPCR. The QPCR data were normalized to the geometric mean of the 3 house-keeping genes (EF-1a, 18S and β-actin) and expression is relative to the pre-immunized level. Fold change was calculated using the primer efficiency. Data shown represent the mean ± SD of experiments performed in triplicate, n = 18 fish/group (6 fish/replicate). Statistical analysis was carried out using one-way ANOVA or Kruskal Wallis test followed by Tukey or Dunn's Multiple Comparison compared to control group (*P < 0.05, **P < 0.01, ***P < 0.001). Group details: Group 1 is control group; Group2 received ip injection of the adjuvant emulsified vaccine antigen; Group 3 received ip injection of adjuvant emulsified vaccine antigen + bath immunization.

(PDF)

S1 Table. Observation noted on day 8 post incubation of egg strings for assessing the hatching efficiency and visual health status of the hatched copepodids.

Fifty egg strings (sampled from the first reproductive event at 50 dpi) from each experimental group were randomly distributed and incubated in 5 parallel aerated flow-through incubators (containing 500 mL filtered seawater/incubator at ~10°C) having 10 egg strings in each incubator. Group details: Group 1 is control group; Group 2 received ip injection of adjuvant emulsified vaccine antigen; Group 3 received ip injection of adjuvant emulsified vaccine antigen + bath immunization.

(TIF)

S1 Dataset

Sheet 1: Lice count and fecundity raw data. Sheet 2: Mean data used for global gene expression analysis in different tissues: Skin, Spleen, and Head kidney.

(XLSX)

Acknowledgments

We would like to thank staffs at Aquaculture Research Station in Tromsø for assistance in fish maintenance, copepodid production, performing lice challenge and lice counting. We also thank Dr. Trilochan Swain for providing valuable suggestions during the development of project concept and manuscript preparation.

Data Availability

All relevant data are within the manuscript and its Supporting Information files.

Funding Statement

This work was funded by Fiskeri - og havbruksnæringens forskningsfond, FHF (Norwegian Seafood Research Fund) grant number 901461(PI:JKS) (https://www.fhf.no/prosjekter/prosjektbasen/901461/). In addition, UIT- The Arctic University of Norway Open Access publication Fund covered the cost for publication. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Decision Letter 0

Simon Clegg

22 Jul 2020

PONE-D-20-16484

Impact of a candidate vaccine on the dynamics of salmon lice (Lepeophtheirus salmonis) infestation and immune response in Atlantic salmon (Salmo salar L.)

PLOS ONE

Dear Dr. Swain,

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Reviewers' comments:

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Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Partly

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: No

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: No

**********

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Reviewer #2: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: PONE-D-20-16484

Impact of a candidate vaccine on the dynamics of salmon lice (Lepeophtheirus salmonis) infestation and immune response in Atlantic salmon (Salmo salar L.)

General comments:

The manuscript is well written. It describes the research performed and results interpreted of the immune response of vaccinated Atlantic salmon to two sea lice vaccine groups as compared to a control quite thoroughly. Developing an efficacious vaccine to control sea lice infestations in Atlantic salmon would greatly enhance the sustainability of the Atlantic salmon farming industry globally and describing and defining the immune response as it relates to antibody and gene regulation is critical to advances in vaccine development. However, I don’t feel concluding that the results support the effectiveness of a vaccine candidate is accurate if effectiveness is defined as ‘the degree to which something is successful in producing a desired result’. The manuscript is valuable for the information presented with the specific type of vaccine candidates and vaccination strategy but conclusions should be more reflective of actual protection against sea lice infestation.

Specific comments:

Abstract:

Lines 36 & 37: Do the overall results support effectiveness? For consideration, the following definitions are provided.

Efficacy can be defined as the performance of an intervention under ideal and controlled circumstances, whereas effectiveness refers to its performance under 'real-world' conditions.

Introduction:

Line 59: suggest replacing might with can

Line 116: correct font and delete one period

Fish immunization and lice challenge

It might flow better to change this section to 3 sections, Fish husbandry, Fish immunization, and Lice challenge. Also, a figure that outlines fish numbers groups and fish to tank movements would make things much clearer.

Days post immunization could be described using the number of degree days post immunization???

Line 129: delete period after (24)

Sampling and lice counting

Line 159: was the dose of benzocaine a lethal dose?

Line 163: maybe use ‘humanely euthanized’ in place of killed

Gene expression studies

Line 204: Should this be a larger font as it appears to be new section? Or put in with the side effects analysis

Results

Impact of vaccine candidate post lice infestation

Lines 263 through 266: I almost think the effect of lice infestation on the fish should be its own brief section

Line 286: I still feel the use of the term efficacy isn’t appropriate

Global assessment: Heat map and hierarchical clustering

Line 315: map should be maps

Line 320: change infection to infestation

Principle component analysis (PCA)

Line 344: change infection to infestation

Discussion

Line 390: change infection to infestation

Line 393: suggestion only- change ‘is still on its way’ to ‘forthcoming’

Line 394: either ‘a vaccine candidate’ or ‘vaccine candidate’

Line 394: remove comma after lead

Lines 417-418: the tense of the sentence needs to be consistent, change was to is in line 417

Lines 421 -432: I do question the interpretation again of efficacy??? I do agree larger number of experimental fish are needed for evaluating efficacy.

Line 425: need a period after only

Line 442: delete duplicate ‘in’

Line 468: should it read ‘A microarray experiment’ or “Microarray experiments’’

Line 486: what are you suggesting in this line, did the immune priming make the response worse or did it overstimulate and exhaust the response??

Line 534: suggestion only- change ‘have in mind’ to ‘consider’

Line 537: I’m not convinced the study is ready for a field study but rather repeated with larger number of fish

Reviewer #2: Mostly well done, and certainly a valuable contribution on an important topic. There are some major and minor concerns that must be addressed, but afterwards, I think this manuscript would be suitable for publication.

Most importantly, I worry that the authors have used an inappropriate formula in calculating the overall vaccine effect, which leads to a misleading finding (see comment on L186). The numbers in Table 2 are fine, but in the text, the authors report 86% overall efficacy in Group 2, yet according to Table 2 there is only a 40% reduction in the number of adult females relative to the control group, and only a 23% reduction in the reproductive success of those adult females (i.e. F1 larval counts). To me this means a 54-55% reduction overall depending on whether you consider all adult females or only those with eggs.

The writing is mostly easy to understand, but the quality could be further improved by some grammatical corrections throughout.

Abstract

Good, although I would like to see an overall effect size given in the abstract. “Good potential” could probably mean anything from 10% to 90% reduction!

Introduction

A good background, well done.

Methods

Antigen purification: I am not an expert in these methods so cannot really comment on their suitability, but I see no obvious errors.

L126-127: Give a full overview of the experimental design upfront here. I also don’t see what size the experimental tanks were – 500 L seems small for 120 fish? I suggest something like “Six XXX L tanks were stocked with 120 fish each, with XXX tanks assigned to each of the 3 experimental groups: procedural control (Group 1), injected vaccine (Group 2), and injected vaccine + bath immunization (Group 3).” This way it is easier for the reader to understand the basic design and sample size at the fish and tank level. Details about the treatments and rearing conditions can come afterwards.

L148: Were oxygen levels monitored during this time? Depending on the size of the tanks, oxygen levels could get very low during an hour without flow.

L156: Earlier it is said that experimental groups were kept in duplicate. I assumed that to mean 2 tanks per group. Here it is 10 fish per tank = 30 fish per group, which is repeated further on in the paper.

L162: It is good that counting was done this way, but how were fish sampled? My experience is that most lice are actually lost during netting and anaesthesia rather than during counting. This paragraph should say how the sampling took place. For example, were the tanks sedated before sampling (this reduces the number of lice lost during netting), were fish netted or removed some other way (again, affects how many lice are lost), were the 10 fish per tank anaesthetised together in a bucket or separately, was the anaesthetic water checked for detached lice, etc.). This shouldn’t qualitatively change the vaccine effect, but it may change our understanding of infestation density across all three groups (especially because lice levels decreased markedly over time).

L172: How were the egg strings from different groups distributed across the 5 incubators? Can you be sure that differences between groups were not caused by differences between incubators?

L186: This formula seems problematic to me: “Vaccine efficacy (%) = 100 x [1-(NCh x NPA x NF x NM x FE x NE x LE x CC)]”. Unless I misunderstand, it looks like repeated counting of the same effect. For example, there is no need to include the immature stages here – losses of lice at all stages will accumulate and be ultimately represented by the difference in the density of adult females. You can then multiply that effect by effects on reproductive output per female. The study cited (Rodríguez-Mallon et al. 2015) used a similar formula but using different parameters, so does not support the usage here. I also disagree with the use of egg string number (NE), as this is more likely to be a sampling artefact than a biological effect (see also L256). Moreover, wouldn’t F1 copepodid counts also incorporate differences in egg string length (LE) if that variable is important? Unless the authors can explain why this isn’t repeated counting of the same effects, I recommend using a much simpler and more defensible formula to calculate an overall effect, representing how many female lice survive to maturity and how many larvae they produce:

Vaccine efficacy (%) = 100 x [1-(FE x CC)]. Note, the CC parameter should be corrected for the number of egg strings collected per female (copepod count / number of egg strings).

L202: K is usually based on a simple formula, can it be included here to save the reader looking up Barnham and Baxter to find out how K was calculated?

L220: “Experimental groups were conducted in triplicates”. I’m not clear on what this means for the statistical models. I would like to see a bit more explanation of how the models were specified. I assume a different model for each stage? Were there any factors other than the experimental group? Were individual fish, or tanks, treated as the unit of replication? If fish are replicates, did you test tank identity as a factor? If tanks are replicates, how were lice densities on individual fish summarised to tank level?

L221: Outliers in which variable (lice levels?), and why? What was the criteria for identifying an outlier and is it biologically justified? How many were removed? Does leaving them in change the outcome?

Results

L234-236: Doesn’t this belong in the methods rather than results?

L236: Thank you for providing SDs (not always done in aquaculture!). Can you clarify in the text at what level they were calculated? e.g. SD across all fish within a group, or across tank means within a group? Some more details on the statistical results would also improve the quality (e.g. degrees of freedom, test statistics), or else include the model outputs in the supplementary material.

L256: I might have missed this, but what was done when lice had only one egg string vs two egg strings? Was this accounted for when comparing copepodid densities? Egg strings are very easily dislodged during sampling so I would correct for missing egg strings rather than considering it to be a result of the treatment. To me, there is no biological basis for the comparison of Panels E, F and G in Figure 2. It more likely to be comparing how roughly fish were handled than any effect of a vaccine.

L291: Give % differences in the text here – this is an important result when considering future commercial applications.

L313 onwards: Very interesting results, well done.

Discussion

L392-395: I’m not sure this sentence adds much of substance, I would consider deleting.

L407-408: Does it make more sense to talk in terms of a cumulative effect here?

L421-432: This paragraph is really difficult to follow (both the logic and the language). I suggest rewriting it in a more methodical manner. Importantly, I don’t see how a “careful analysis of formulas” affects our understanding of how well vaccines work. Ultimately, doesn’t it come down to how many lice remain attached with how well they reproduce? I guess this stems from the issues with the formula that I discuss above.

Related points:

L422: Replace “extrapolated” with “applied”.

L430: Please add a note that a large number of tanks is also important (fish within tanks are not truly independent replicates, as they often vary together).

L483 onwards: Interesting explanation. Can you also discuss how likely is that the result is spurious (due to low levels of replication at the tank level) versus the mechanisms you outline here? For example, you could point out that relative infestation densities changed over time, rather than being consistently different from day 1. Perhaps somewhere you could give the mean infestation density for every tank at the earliest possible day (I guess that would be 17 dpi?) so the reader can assess how tanks varied within groups (in more detail than SD provides).

L508: I would simplify to “…reach the mobile stage on the host…”. “Mobile” is the term used almost universally used in the literature.

Figures

Generally okay.

See comment above regarding panels E-G in Figure 2.

If you want to save space in the article, the table of observations within Figure 3 could be moved to the supplement.

Data

I don’t see a link for data sharing – apologies if I missed it.

**********

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Reviewer #1: No

Reviewer #2: No

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

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PLoS One. 2020 Oct 2;15(10):e0239827. doi: 10.1371/journal.pone.0239827.r002

Author response to Decision Letter 0


13 Aug 2020

Response to Academic Editor

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Author’s response: We have gone through the templates and revised the manuscript accordingly.

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"The authors have declared that no competing interests exist."

We note that one or more of the authors are employed by a commercial company: Nofima AS.

Author’s response: Nofima is not a commercial company. Nofima is a food research institute and is a non-profit research institution. We have added this statement in the Competing interests section.

Updated Competing Interests: “Nofima is a non-profit research institution. The authors have declared that no competing interests exist”.

2.1. Please provide an amended Funding Statement declaring this commercial affiliation, as well as a statement regarding the Role of Funders in your study. If the funding organization did not play a role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript and only provided financial support in the form of authors' salaries and/or research materials, please review your statements relating to the author contributions, and ensure you have specifically and accurately indicated the role(s) that these authors had in your study. You can update author roles in the Author Contributions section of the online submission form.

Please also include the following statement within your amended Funding Statement.

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Author’s response: The updated funding Statement includes: “Funding for this work was provided to JKS by Norwegian Seafood Research Fund (Fiskeri- og Havbruksnæringens Forskningsfond, FHF), grant number 901461. The funder had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript”.

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Please include both an updated Funding Statement and Competing Interests Statement in your cover letter. We will change the online submission form on your behalf.

Author’s response: The updated Funding Statement and Competing Interests Statement are mentioned in response 2 and 2.1 and in the cover letter.

Response to the Reviewers

Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: PONE-D-20-16484

Impact of a candidate vaccine on the dynamics of salmon lice (Lepeophtheirus salmonis) infestation and immune response in Atlantic salmon (Salmo salar L.)

General comments:

The manuscript is well written. It describes the research performed and results interpreted of the immune response of vaccinated Atlantic salmon to two sea lice vaccine groups as compared to a control quite thoroughly. Developing an efficacious vaccine to control sea lice infestations in Atlantic salmon would greatly enhance the sustainability of the Atlantic salmon farming industry globally and describing and defining the immune response as it relates to antibody and gene regulation is critical to advances in vaccine development. However, I don’t feel concluding that the results support the effectiveness of a vaccine candidate is accurate if effectiveness is defined as ‘the degree to which something is successful in producing a desired result’. The manuscript is valuable for the information presented with the specific type of vaccine candidates and vaccination strategy but conclusions should be more reflective of actual protection against sea lice infestation.

Specific comments:

Abstract:

Lines 36 & 37: Do the overall results support effectiveness? For consideration, the following definitions are provided.

Efficacy can be defined as the performance of an intervention under ideal and controlled circumstances, whereas effectiveness refers to its performance under 'real-world' conditions.

Authors’ response: The reviewer is right. We changed the word «effectiveness» for «efficacy» which is more appropriate for a lab scale experiment.

Introduction:

Line 59: suggest replacing might with can.

Line 116: correct font and delete one period.

Authors’ response: The reviewer suggestion have been considered.

Fish immunization and lice challenge

It might flow better to change this section to 3 sections, Fish husbandry, Fish immunization, and Lice challenge.

Authors’ response: It was changed according reviewer suggestion.

Also, a figure that outlines fish numbers groups and fish to tank movements would make things much clearer.Days post immunization could be described using the number of degree days post immunization???

Authors’ response: All these suggestions were taken into account to modify Fig 1.

Line 129: delete period after (24)

Authors’ response: We have modified the bracket as this was the reference number.

Sampling and lice counting

Line 159: was the dose of benzocaine a lethal dose?

Authors’ response: Yes, fish was given a lethal dose of anaesthesia (0.01% benzocaine) before counting.

Line 163: maybe use ‘humanely euthanized’ in place of killed.

Authors’ response: Modified as suggested.

Gene expression studies

Line 204: Should this be a larger font as it appears to be new section? Or put in with the side effects analysis

Authors’ response: Thanks for mentioning it. Yes, gene expression studies should be a larger font. This have been corrected.

Results

Impact of vaccine candidate post lice infestation

Lines 263 through 266: I almost think the effect of lice infestation on the fish should be its own brief section

Authors’ response: We have mentioned those lines in a separate paragraph.

Line 286: I still feel the use of the term efficacy isn’t appropriate

Authors’ response: Taking into account the definition given by the reviewer above that «Efficacy» can be defined as the performance of an intervention under ideal and controlled circumstances, I think is appropriate.

Besides, terminology “vaccine efficacy” used here should not be interpreted as protection obtained. The term used was based on the revised formula that was aimed to evaluate the impact of vaccination on female lice fecundity. The formula of the vaccine efficacy was revised and added in the revised text in Line 204.

Global assessment: Heat map and hierarchical clustering

Line 315: map should be maps: Line 320: change infection to infestation:

Authors’ response: This is fixed

Principle component analysis (PCA)

Line 344: change infection to infestation :

Authors’ response: This is changed.

Discussion

Line 390: change infection to infestation

Line 393: suggestion only- change ‘is still on its way’ to ‘forthcoming’

Authors’ response: The word ‘Infection’ is changed to ‘infestation’. Thanks for the suggestion for line 393. We have deleted this sentence as per reviewer 2 suggestion.

Line 394: either ‘a vaccine candidate’ or ‘vaccine candidate’

Line 394: remove comma after lead

Lines 417-418: the tense of the sentence needs to be consistent, change was to is in line 417: Lines 421 -432: I do question the interpretation again of efficacy??? I do agree larger number of experimental fish are needed for evaluating efficacy.

Authors’ response: Lines 394 and 417 were revised as suggested. Related to line 421-432, we agree with the reviewer. We have modified this paragraph. Following changes were made in the revised text in L460 - 466:

“Analogous to the overall efficacy calculated for the pP0 antigen against R. B. microplus ticks as well as other authors [31-33], we applied a formula to our experiment for estimating vaccine efficacy in order to evaluate the impact of the vaccine candidate on the lice fecundity. Based on this formula, vaccinated group 2 has obtained an overall vaccine efficacy of 58 % whereas group 3 showed 20 %, suggesting the utility of the vaccine candidate through ip method only “.

Regarding the number of experiment fish, we have this statement in the text: “Therefore, large number of experimental animals and experimental tanks must be used in immunization and challenge trials”

Line 425: need a period after only

Line 442: delete duplicate ‘in’

Line 468: should it read ‘A microarray experiment’ or “Microarray experiments’’

Authors’ response: Line 425 and 442 has been fixed as suggested. “A microarray experiment”- It has been fixed.

Line 486: what are you suggesting in this line, did the immune priming make the response worse or did it overstimulate and exhaust the response??

Authors’ response: The sentence “This could be the effect of exacerbated immune priming” was removed to avoid confusion.

We think that immune priming with immersion bath made the response worse and delayed.

We observed down regulation of IL-22 and IL-10 in spleen of salmon at chalimus stage of infection and an increase in IL-1β, TNF-α and IL-8 at subsequent pre-adult stage in group 2. In group 3, down regulation of IL-22 and IL-10 was seen in spleen at pre-adult stage of infection (28 dpi), which in turn is related to the increase observed in pro-inflammatory cytokines at adult stage (50 dpi). The differential cytokine regulation could explain the differences found in the results between different vaccination methods i.e group 2 and group 3. Further studies targeting more immunological markers could clarify the mechanisms responsible for the differences between the two groups.

Line 534: suggestion only- change ‘have in mind’ to ‘consider’

Line 537: I’m not convinced the study is ready for a field study but rather repeated with larger number of fish

Authors’ response: We took these into consideration and modified the sentence accordingly in L580 – 582 of the revised manuscript.

“Therefore, performing a challenge experiment considering these points will be the next step for additional evaluation of the vaccine efficacy in controlling salmon lice infestation”.

Reviewer #2: Mostly well done, and certainly a valuable contribution on an important topic. There are some major and minor concerns that must be addressed, but afterwards, I think this manuscript would be suitable for publication.

Most importantly, I worry that the authors have used an inappropriate formula in calculating the overall vaccine effect, which leads to a misleading finding (see comment on L186). The numbers in Table 2 are fine, but in the text, the authors report 86% overall efficacy in Group 2, yet according to Table 2 there is only a 40% reduction in the number of adult females relative to the control group, and only a 23% reduction in the reproductive success of those adult females (i.e. F1 larval counts). To me this means a 54-55% reduction overall depending on whether you consider all adult females or only those with eggs.

The writing is mostly easy to understand, but the quality could be further improved by some grammatical corrections throughout.

Abstract

Good, although I would like to see an overall effect size given in the abstract. “Good potential” could probably mean anything from 10% to 90% reduction!

Authors’ response: The effect size has been included in the abstract.

Introduction

A good background, well done.

Authors’ response: We appreciate the positive comment by the Reviewer.

Methods

Antigen purification: I am not an expert in these methods so cannot really comment on their suitability, but I see no obvious errors.

L126-127: Give a full overview of the experimental design upfront here. I also don’t see what size the experimental tanks were – 500 L seems small for 120 fish? I suggest something like “Six XXX L tanks were stocked with 120 fish each, with XXX tanks assigned to each of the 3 experimental groups: procedural control (Group 1), injected vaccine (Group 2), and injected vaccine + bath immunization (Group 3).” This way it is easier for the reader to understand the basic design and sample size at the fish and tank level. Details about the treatments and rearing conditions can come afterwards.

Authors’ response: The sentences was modified and added as suggested in the revised version of the manuscript. Tank sizes were also included wherever necessary.

L132-135: “Three 500 L tanks were stocked with 120 fish each, one tank assigned to each of the 3 experimental groups: procedural control (Group 1), injected vaccine (Group 2), and injected vaccine + bath immunization (Group 3). Each tank was supplied with continuous circulating water flow throughout the experimental period and oxygen level and temperature were recorded daily”.

The fish was stocked at a recommended density of 10 kg/m3 and this density was maintained throughout the experiment, irrespective of the tank size.

L148: Were oxygen levels monitored during this time? Depending on the size of the tanks, oxygen levels could get very low during an hour without flow.

Authors’ response: The oxygen level was monitored to keep the level stable during the lice challenge when the water flow was stopped for an hour. Aeration of water was done when required to maintain the oxygen level between 80 – 90 %.

L156: Earlier it is said that experimental groups were kept in duplicate. I assumed that to mean 2 tanks per group. Here it is 10 fish per tank = 30 fish per group, which is repeated further on in the paper.

Authors’ response: Tank distribution has been included in Figure 1 for better understanding. Post challenge, each experimental group was split in three replicates. Thus, this is the reason that sampling of 10 fish per group is 30 fish.

Moreover, with time, the size and weight of the fish was increasing in sea-water and post challenge experiment lasted for another 50 days. Therefore, to maintain the fish density of 10 kg/m3, we split each group in three replicate tanks of 500L capacity. Throughout the experiment, the stocking density was maintained around 10 kg/m3, irrespective of the tank size.

L162: It is good that counting was done this way, but how were fish sampled? My experience is that most lice are actually lost during netting and anaesthesia rather than during counting. This paragraph should say how the sampling took place. For example, were the tanks sedated before sampling (this reduces the number of lice lost during netting), were fish netted or removed some other way (again, affects how many lice are lost), were the 10 fish per tank anaesthetised together in a bucket or separately, was the anaesthetic water checked for detached lice, etc.). This shouldn’t qualitatively change the vaccine effect, but it may change our understanding of infestation density across all three groups (especially because lice levels decreased markedly over time).

Authors’ response: As per reviewer suggestion, the paragraph was modified accordingly in L170-178 as mentioned below:

“Fish were taken out one at a time gently by handle fishing net from the stocking tanks and transferred in a bucket containing an overdose of anaesthetic water (0.01% benzocaine). Care was taken for the minimum loss of lice through netting. The net was simultaneously checked for the detached lice. One fish per bucket was anaesthetized before lice counting. To avoid counting error of detached lice due to anaesthesia and handling, counting of chalimus at 17 dpi, pre-adults at 28 dpi and adults at 50 dpi on individual parasitized fish were performed under water in a white tray. After lice counting from each fish/tray, the remaining water in the respective tray and bucket were checked for detached lice.”

Moreover, we have experienced that after sedation of fish, lice is detached very quickly from the fish. Therefore, fish were taken out first one by one through handle net and then anaesthetised in a white bucket and simultaneously the net was checked for any detached lice on the net in anaesthetic water.

L172: How were the egg strings from different groups distributed across the 5 incubators? Can you be sure that differences between groups were not caused by differences between incubators?

Authors’ response: After counting the egg strings from each female lice, individual egg string was detached from the lice and its length was measured. Then the egg strings were collected in a petri dish for each group. The total no. of egg strings collected for each group was: Gr. 1 = 137, Gr. 2 = 80 and Gr. 3 = 115.

From the total no. of collected egg strings for each group as mentioned above, 50 egg strings per group were randomly distributed in 5 incubators at a rate of 10 egg strings per incubator for the hatching experiment. Each incubator contained aerated flow-through 500 mL filtered seawater at ~10 °C. The left over egg strings after the distribution in the incubator was shown in Fig 2I (revised Fig 2 F)

Since the same number of egg strings (10 nos.) were incubated in each incubator per group, differences in groups were representative of differences in hatching efficiency and fecundity.

The figure below shows the deployment of the egg strings from the petri dish into the incubator for the hatching experiment.

L186: This formula seems problematic to me: “Vaccine efficacy (%) = 100 x [1-(NCh x NPA x NF x NM x FE x NE x LE x CC)]”. Unless I misunderstand, it looks like repeated counting of the same effect. For example, there is no need to include the immature stages here – losses of lice at all stages will accumulate and be ultimately represented by the difference in the density of adult females. You can then multiply that effect by effects on reproductive output per female. The study cited (Rodríguez-Mallon et al. 2015) used a similar formula but using different parameters, so does not support the usage here. I also disagree with the use of egg string number (NE), as this is more likely to be a sampling artefact than a biological effect (see also L256). Moreover, wouldn’t F1 copepodid counts also incorporate differences in egg string length (LE) if that variable is important? Unless the authors can explain why this isn’t repeated counting of the same effects, I recommend using a much simpler and more defensible formula to calculate an overall effect, representing how many female lice survive to maturity and how many larvae they produce:

Vaccine efficacy (%) = 100 x [1-(FE x CC)].

Note, the CC parameter should be corrected for the number of egg strings collected per female (copepod count / number of egg strings).

Authors’ response: Taking into account the reviewer suggestion, we assumed the proposed formula of vaccine efficacy but include the parameter LE as shown below:

Vaccine efficacy (%) = 100 x [1-(FE x LE x CC)].

LE: length of egg strings in vaccinated group/length of egg strings in control group. The length of egg strings are considered representative of how many eggs were produced, because it is almost impossible to count the eggs one by one.

CC: F1 generation copepodids count from vaccinated group/F1 generation copepodids count in control group. It is an indicator of how many larvae are produced from a fixed amount of egg strings.

We think that the correction of CC is not valid since we placed the same number of egg strings per group (50 egg strings per group divided in 5 incubation chambers with 10 egg string in each one) in the incubation chambers for hatching.

With the new formula, vaccine efficacy was 58% for group 2 and 20% for group 3. This was corrected in the text.

L202: K is usually based on a simple formula, can it be included here to save the reader looking up Barnham and Baxter to find out how K was calculated?

Authors’ response: The formula below and the related information has been included in the text.

K = (10NW)/L3

L220: “Experimental groups were conducted in triplicates”. I’m not clear on what this means for the statistical models. I would like to see a bit more explanation of how the models were specified. I assume a different model for each stage? Were there any factors other than the experimental group? Were individual fish, or tanks, treated as the unit of replication? If fish are replicates, did you test tank identity as a factor? If tanks are replicates, how were lice densities on individual fish summarised to tank level?

Authors’ response: This sentence “Experimental groups were conducted in triplicates” has been removed to avoid confusion.

For statistical analysis, to compare differences in lice number per fish among groups at each sampling point, Mann-Whitney test was performed due to unequal variances to compare vaccinated groups (Group 2 or 3) with control (Group 1). For length and weight, length of egg strings and for gene expression, analysis of variance (ANOVA) or Kruskal Wallis test was performed depending on the normal distribution and equal variance of the data followed by Tukey or Dunn’s Multiple Comparison post hoc tests. P-values < 0.05 were considered statistically significant. No other factors than experimental groups was considered for the above analysis.

We sampled 10 fish per replicate tank, 3 replicate tanks, 30 fish per group. For statistical analysis, individual fish were used as unit of replication for each group, i.e for the comparison among groups, we used all data from 30 fish within the experimental group.

L221: Outliers in which variable (lice levels?), and why? What was the criteria for identifying an outlier and is it biologically justified? How many were removed? Does leaving them in change the outcome?

Authors’ response: We identified outliers only for the individual gene expression analysis (S4 Fig). “Prior to individual gene expression data analysis, outliers were calculated and identified using the ROUT method through Prism 6.01 software for Windows and were removed from the subsequent gene expression statistical analysis”. This information has been included in L252-255 of the revised manuscript.

However, data analysis related to lice count and other fecundity parameters were not identified for outliers and no data was removed.

In statistics, an outlier is a data point that differs significantly from other observations. An outlier may be due to variability in the measurement or it may indicate experimental error. An outlier can cause problems in statistical analyses and thus it is sometimes wise to remove. Nevertheless, the number of outliers identified for gene expression data in our work were low, ranging from 0 to 2 outliers in total per sampling point.

Results

L234-236: Doesn’t this belong in the methods rather than results?

Authors’ response: Thanks for mentioning this. Line 234-236 has been removed.

L236: Thank you for providing SDs (not always done in aquaculture!). Can you clarify in the text at what level they were calculated? e.g. SD across all fish within a group, or across tank means within a group? Some more details on the statistical results would also improve the quality (e.g. degrees of freedom, test statistics), or else include the model outputs in the supplementary material.

Authors’ response: “SD was calculated across all fish within a group”. This sentence has been included in L248.

L256: I might have missed this, but what was done when lice had only one egg string vs two egg strings? Was this accounted for when comparing copepodid densities?

Authors’ response: Each female with total egg string was recorded, discriminating in the counting females with two egg strings and females with one egg string. After counting the egg string, each egg string was detached from the female and its length was measured. After that egg strings were collected in a petri dish for each group as shown in Figure 2I (revised Figure no. 2F) to be used for further hatching experiment.

For copepodid counting, as mentioned above, all egg strings were collected (no matter if they came from a female with one or two egg strings). Afterward, 10 egg string per incubator, 5 incubator per experimental groups were set for hatching. Please refer to the figure shown before.

Egg strings are very easily dislodged during sampling so I would correct for missing egg strings rather than considering it to be a result of the treatment.

Authors’ response: Sampling was done carefully to avoid this.

To me, there is no biological basis for the comparison of Panels E, F and G in Figure 2. It more likely to be comparing how roughly fish were handled than any effect of a vaccine.

Authors’ response: We understood the reviewer point and removed panels E, F and G from figure 2 and related text in the results section and in the figure caption.

L291: Give % differences in the text here – this is an important result when considering future commercial applications.

Authors’ response: A Line mentioning % differences has been included in line L327-329. “The reduction in weight in groups 2 and 3 compared to group 1 were 13-10%, respectively. The reduction in length were 6% in both the vaccinated groups compared to control group 1”.

L313 onwards: Very interesting results, well done.

Authors’ response: We appreciate the positive comment by the Reviewer.

Discussion

L392-395: I’m not sure this sentence adds much of substance, I would consider deleting.

Authors’ response: It has been deleted as recommended.

L407-408: Does it make more sense to talk in terms of a cumulative effect here?

Authors’ response: The reviewer point of view was not clear to the authors.

L421-432: This paragraph is really difficult to follow (both the logic and the language). I suggest rewriting it in a more methodical manner. Importantly, I don’t see how a “careful analysis of formulas” affects our understanding of how well vaccines work. Ultimately, doesn’t it come down to how many lice remain attached with how well they reproduce? I guess this stems from the issues with the formula that I discuss above.

Authors’ response: We rewrote the paragraph

Related points:

L422: Replace “extrapolated” with “applied”.

Authors’ response: It has been replaced.

L430: Please add a note that a large number of tanks is also important (fish within tanks are not truly independent replicates, as they often vary together).

Authors’ response: That’s true. It has been included as suggested in L 468 of the revised manuscript.

L483 onwards: Interesting explanation. Can you also discuss how likely is that the result is spurious (due to low levels of replication at the tank level) versus the mechanisms you outline here? For example, you could point out that relative infestation densities changed over time, rather than being consistently different from day 1. Perhaps somewhere you could give the mean infestation density for every tank at the earliest possible day (I guess that would be 17 dpi?) so the reader can assess how tanks varied within groups (in more detail than SD provides).

Authors’ response: Gene transcription profile was determined in 6 fish representative of each tank, 18 fish in total per experimental group, which is a large number of samples for qPCR analysis. In the analysis, the results were not divided depending on the tanks. The statistical analysis to score differences among groups were done using the 18 samples per group per each analysed gene and sampling point. Thus, in this way the variability in the response that could be due to tank effect, is homogenized among groups.

L508: I would simplify to “…reach the mobile stage on the host…”. “Mobile” is the term used almost universally used in the literature.

Authors’ response: This has been fixed.

Figures

Generally okay.

See comment above regarding panels E-G in Figure 2.

If you want to save space in the article, the table of observations within Figure 3 could be moved to the supplement.

Authors’ response: As suggested, the table of observations has been removed from the Figure 3 and moved as a supplementary table S1 (S1 Table).

Data

I don’t see a link for data sharing – apologies if I missed it.

Authors’ response: We added relevant data in the supporting information as S1 dataset. Now all relevant data are within the manuscript and its Supporting Information files.

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

Simon Clegg

2 Sep 2020

PONE-D-20-16484R1

Impact of a candidate vaccine on the dynamics of salmon lice (Lepeophtheirus salmonis) infestation and immune response in Atlantic salmon (Salmo salar L.)

PLOS ONE

Dear Dr. Swain,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

==============================

Many thanks for submitting your manuscript to PLOS One

It was reviewed by the same two reviewers who reviewed the first manuscript and they have suggested some more very minor modifications be made prior to acceptance

If you could write a response to reviewers, that will help to expedite revision when you re-submit

I wish you the best of luck with your revisions

Hope you are keeping safe and well in these difficult times

Thanks

Simon

==============================

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Reviewers' comments:

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Reviewer #1: All comments have been addressed

Reviewer #2: (No Response)

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Reviewer #2: Partly

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Reviewer #1: (No Response)

Reviewer #2: The authors have generally done a good job of revising the manuscript, and I have only two substantive concerns remaining (one of which still affects the overall vaccine efficacy estimate). I’m confident that both concerns can be addressed to my satisfaction.

The writing could still benefit from some copy editing, but I’ll leave this for the authors and/or journal to manage.

Well done to the authors for the effort they’ve put into this trial.

1) Regarding lice and egg string loss during netting

Original comment:

L162: It is good that counting was done this way, but how were fish sampled? My experience is that most lice are actually lost during netting and anaesthesia rather than during counting. This paragraph should say how the sampling took place. For example, were the tanks sedated before sampling (this reduces the number of lice lost during netting), were fish netted or removed some other way (again, affects how many lice are lost), were the 10 fish per tank anaesthetised together in a bucket or separately, was the anaesthetic water checked for detached lice, etc.). This shouldn’t qualitatively change the vaccine effect, but it may change our understanding of infestation density across all three groups (especially because lice levels decreased markedly over time).

Authors’ response:

As per reviewer suggestion, the paragraph was modified accordingly in L170-178 as mentioned below: “Fish were taken out one at a time gently by handle fishing net from the stocking tanks and transferred in a bucket containing an overdose of anaesthetic water (0.01% benzocaine). Care was taken for the minimum loss of lice through netting. The net was simultaneously checked for the detached lice. One fish per bucket was anaesthetized before lice counting. To avoid counting error of detached lice due to anaesthesia and handling, counting of chalimus at 17 dpi, pre-adults at 28 dpi and adults at 50 dpi on individual parasitized fish were performed under water in a white tray. After lice counting from each fish/tray, the remaining water in the respective tray and bucket were checked for detached lice.” Moreover, we have experienced that after sedation of fish, lice is detached very quickly from the fish. Therefore, fish were taken out first one by one through handle net and then anaesthetised in a white bucket and simultaneously the net was checked for any detached lice on the net in anaesthetic water.

New comment:

This is a better description of the sampling protocol, although I’m still not convinced that the authors are able to prevent loss of any lice or egg strings during netting. As I noted in my original comment, I realise that this does not matter much for the measured vaccine efficacy because all groups received the same handling, but in a study that directly concerns infestation density and infestation persistence, likely sources of lice loss during sampling should be acknowledged. It is well known that netting salmon (and especially unsedated salmon) causes some adult lice and egg strings to be dislodged from abrasion by the mesh, and netting “gently” or “with care” doesn’t change this, especially if the fish is struggling. I would therefore like the authors to include a note either acknowledging this or explaining how they can be sure that none were lost. E.g. (i) maybe the net mesh was fine enough to capture lice and egg strings that might have been dislodged, (ii) maybe they are confident that they would see any dislodged egg strings in the tank after netting (detached lice would likely reattach to another host in the tank – something I’ve seen before), or (iii) acknowledge that some lice and egg strings could have been lost before the fish was transferred to the anaesthetic bucket.

A small point on wording: Change “handle fishing net” to your choice of “hand net”, “dip net” or “scoop net”

2) Regarding the vaccine efficacy formula

Original comment:

L186: This formula seems problematic to me: “Vaccine efficacy (%) = 100 x [1-(NCh x NPA x NF x NM x FE x NE x LE x CC)]”. Unless I misunderstand, it looks like repeated counting of the same effect. For example, there is no need to include the immature stages here – losses of lice at all stages will accumulate and be ultimately represented by the difference in the density of adult females. You can then multiply that effect by effects on reproductive output per female. The study cited (Rodríguez-Mallon et al. 2015) used a similar formula but using different parameters, so does not support the usage here. I also disagree with the use of egg string number (NE), as this is more likely to be a sampling artefact than a biological effect (see also L256). Moreover, wouldn’t F1 copepodid counts also incorporate differences in egg string length (LE) if that variable is important? Unless the authors can explain why this isn’t repeated counting of the same effects, I recommend using a much simpler and more defensible formula to calculate an overall effect, representing how many female lice survive to maturity and how many larvae they produce: Vaccine efficacy (%) = 100 x [1-(FE x CC)]. Note, the CC parameter should be corrected for the number of egg strings collected per female (copepod count / number of egg strings).

Authors’ response:

Taking into account the reviewer suggestion, we assumed the proposed formula of vaccine efficacy but include the parameter LE as shown below:

Vaccine efficacy (%) = 100 x [1-(FE x LE x CC)].

LE: length of egg strings in vaccinated group/length of egg strings in control group. The length of egg strings are considered representative of how many eggs were produced, because it is almost impossible to count the eggs one by one.

CC: F1 generation copepodids count from vaccinated group/F1 generation copepodids count in control group. It is an indicator of how many larvae are produced from a fixed amount of egg strings. We think that the correction of CC is not valid since we placed the same number of egg strings per group (50 egg strings per group divided in 5 incubation chambers with 10 egg string in each one) in the incubation chambers for hatching.

With the new formula, vaccine efficacy was 58% for group 2 and 20% for group 3. This was corrected in the text.

New comment:

I agree with the authors that CC should not be corrected for the number of egg strings (it is now clear that the same number of egg strings were used per group).

However, the inclusion of LE still seems incorrect. I agree that LE is a fair proxy for number of eggs, and is an interesting variable to measure and report in the paper, but I don’t agree with it being used in this way in the formula. This is because the CC parameter already accounts for differences in the number of eggs produced – all else being equal, fewer eggs per egg string will result in fewer F1 larvae per egg string (this contributes to the observed effect on CC). Therefore, the vaccine effect on LE is already contained within the effect on CC, and multiplying the two parameters within the same formula is double-counting the FE effect and inflating the overall effect by a few %.

So I have to push for my original recommendation for the formula:

Vaccine efficacy (%) = 100 x [1-(FE x CC)].

Alternatively, the authors could include FE and CC, but in a different form where LE is the effect on number of eggs produced, and CC/LE is the effect on copepodid production from a given number of eggs (not egg strings). This avoids double-counting and gives the same result as 100 x [1-(FE x CC)], but explicitly shows the importance of LE by partitioning the vaccine effects on reproduction into (i) number of eggs per egg string, and (ii) number of larvae per egg:

Vaccine efficacy (%) = 100 x [1-(FE x LE x (CC/LE))]

For simplicity, CC/LE could be assigned to a new parameter called, for example, CE (copepodids per egg) to simplify the formula. The formula would then be:

Vaccine efficacy (%) = 100 x [1-(FE x LE x CE)].

Where FE is the effect on female survival to maturity, LE is the effect on fecundity of adult females (using egg string length as a proxy for fecundity), and CE is the effect on hatching and survival of F1 offspring to the copepodid stage.

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Reviewer #2: No

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PLoS One. 2020 Oct 2;15(10):e0239827. doi: 10.1371/journal.pone.0239827.r004

Author response to Decision Letter 1


6 Sep 2020

Response to Reviewer

Reviewer #2: The authors have generally done a good job of revising the manuscript, and I have only two substantive concerns remaining (one of which still affects the overall vaccine efficacy estimate). I’m confident that both concerns can be addressed to my satisfaction.

The writing could still benefit from some copy editing, but I’ll leave this for the authors and/or journal to manage.

Well done to the authors for the effort they’ve put into this trial.

Authors response: Thanks a lot. We really appreciate reviewer’s effort for good self-explanatory advice and comments.

1) Regarding lice and egg string loss during netting

Original comment:

L162: It is good that counting was done this way, but how were fish sampled? My experience is that most lice are actually lost during netting and anaesthesia rather than during counting. This paragraph should say how the sampling took place. For example, were the tanks sedated before sampling (this reduces the number of lice lost during netting), were fish netted or removed some other way (again, affects how many lice are lost), were the 10 fish per tank anaesthetised together in a bucket or separately, was the anaesthetic water checked for detached lice, etc.). This shouldn’t qualitatively change the vaccine effect, but it may change our understanding of infestation density across all three groups (especially because lice levels decreased markedly over time).

Authors’ response:

As per reviewer suggestion, the paragraph was modified accordingly in L170-178 as mentioned below: “Fish were taken out one at a time gently by handle fishing net from the stocking tanks and transferred in a bucket containing an overdose of anaesthetic water (0.01% benzocaine). Care was taken for the minimum loss of lice through netting. The net was simultaneously checked for the detached lice. One fish per bucket was anaesthetized before lice counting. To avoid counting error of detached lice due to anaesthesia and handling, counting of chalimus at 17 dpi, pre-adults at 28 dpi and adults at 50 dpi on individual parasitized fish were performed under water in a white tray. After lice counting from each fish/tray, the remaining water in the respective tray and bucket were checked for detached lice.” Moreover, we have experienced that after sedation of fish, lice is detached very quickly from the fish. Therefore, fish were taken out first one by one through handle net and then anaesthetised in a white bucket and simultaneously the net was checked for any detached lice on the net in anaesthetic water.

New comment:

This is a better description of the sampling protocol, although I’m still not convinced that the authors are able to prevent loss of any lice or egg strings during netting. As I noted in my original comment, I realise that this does not matter much for the measured vaccine efficacy because all groups received the same handling, but in a study that directly concerns infestation density and infestation persistence, likely sources of lice loss during sampling should be acknowledged. It is well known that netting salmon (and especially unsedated salmon) causes some adult lice and egg strings to be dislodged from abrasion by the mesh, and netting “gently” or “with care” doesn’t change this, especially if the fish is struggling. I would therefore like the authors to include a note either acknowledging this or explaining how they can be sure that none were lost. E.g. (i) maybe the net mesh was fine enough to capture lice and egg strings that might have been dislodged, (ii) maybe they are confident that they would see any dislodged egg strings in the tank after netting (detached lice would likely reattach to another host in the tank – something I’ve seen before), or (iii) acknowledge that some lice and egg strings could have been lost before the fish was transferred to the anaesthetic bucket.

A small point on wording: Change “handle fishing net” to your choice of “hand net”, “dip net” or “scoop net”

Authors Response: As suggested by the reviewer, we have acknowledged lice loss during sampling and added text accordingly in L171-174 of the revised manuscript in.

“All fish were treated the same and were handled gently. The hand nets were checked for detached lice and the net mesh was fine enough to capture lice if any lice would have fell off. However, we cannot exclude the possibility that some egg strings or lice would have been detached from the fish or lost in the tank during handling (netting).”

As advised, we changed “handle fishing net” to “hand net”

2) Regarding the vaccine efficacy formula

Original comment:

L186: This formula seems problematic to me: “Vaccine efficacy (%) = 100 x [1-(NCh x NPA x NF x NM x FE x NE x LE x CC)]”. Unless I misunderstand, it looks like repeated counting of the same effect. For example, there is no need to include the immature stages here – losses of lice at all stages will accumulate and be ultimately represented by the difference in the density of adult females. You can then multiply that effect by effects on reproductive output per female. The study cited (Rodríguez-Mallon et al. 2015) used a similar formula but using different parameters, so does not support the usage here. I also disagree with the use of egg string number (NE), as this is more likely to be a sampling artefact than a biological effect (see also L256). Moreover, wouldn’t F1 copepodid counts also incorporate differences in egg string length (LE) if that variable is important? Unless the authors can explain why this isn’t repeated counting of the same effects, I recommend using a much simpler and more defensible formula to calculate an overall effect, representing how many female lice survive to maturity and how many larvae they produce: Vaccine efficacy (%) = 100 x [1-(FE x CC)]. Note, the CC parameter should be corrected for the number of egg strings collected per female (copepod count / number of egg strings).

Authors’ response:

Taking into account the reviewer suggestion, we assumed the proposed formula of vaccine efficacy but include the parameter LE as shown below:

Vaccine efficacy (%) = 100 x [1-(FE x LE x CC)].

LE: length of egg strings in vaccinated group/length of egg strings in control group. The length of egg strings are considered representative of how many eggs were produced, because it is almost impossible to count the eggs one by one.

CC: F1 generation copepodids count from vaccinated group/F1 generation copepodids count in control group. It is an indicator of how many larvae are produced from a fixed amount of egg strings. We think that the correction of CC is not valid since we placed the same number of egg strings per group (50 egg strings per group divided in 5 incubation chambers with 10 egg string in each one) in the incubation chambers for hatching.

With the new formula, vaccine efficacy was 58% for group 2 and 20% for group 3. This was corrected in the text.

New comment:

I agree with the authors that CC should not be corrected for the number of egg strings (it is now clear that the same number of egg strings were used per group).

However, the inclusion of LE still seems incorrect. I agree that LE is a fair proxy for number of eggs, and is an interesting variable to measure and report in the paper, but I don’t agree with it being used in this way in the formula. This is because the CC parameter already accounts for differences in the number of eggs produced – all else being equal, fewer eggs per egg string will result in fewer F1 larvae per egg string (this contributes to the observed effect on CC). Therefore, the vaccine effect on LE is already contained within the effect on CC, and multiplying the two parameters within the same formula is double-counting the FE effect and inflating the overall effect by a few %.

So I have to push for my original recommendation for the formula:

Vaccine efficacy (%) = 100 x [1-(FE x CC)].

Alternatively, the authors could include FE and CC, but in a different form where LE is the effect on number of eggs produced, and CC/LE is the effect on copepodid production from a given number of eggs (not egg strings). This avoids double-counting and gives the same result as 100 x [1-(FE x CC)], but explicitly shows the importance of LE by partitioning the vaccine effects on reproduction into (i) number of eggs per egg string, and (ii) number of larvae per egg:

Vaccine efficacy (%) = 100 x [1-(FE x LE x (CC/LE))]

For simplicity, CC/LE could be assigned to a new parameter called, for example, CE (copepodids per egg) to simplify the formula. The formula would then be:

Vaccine efficacy (%) = 100 x [1-(FE x LE x CE)].

Where FE is the effect on female survival to maturity, LE is the effect on fecundity of adult females (using egg string length as a proxy for fecundity), and CE is the effect on hatching and survival of F1 offspring to the copepodid stage.

Authors Response: First, we appreciate reviewer’s effort for good self-explanatory advices and comments.

We agree with reviewer’s original recommended formula as well as the alternative formula “Vaccine efficacy (%) = 100 x [1-(FE x LE x CE)]”. Both the original and the alternative formula as suggested by the reviewer gave exactly the same value of vaccine efficacy. i.e 56% for group 2 and 25% for group 3.

Here, we preferred to use the alternative formula as suggested by the reviewer, which accounts the effect on female fecundity as well as on hatching and survival of F1 offspring to the copepodid stage. The corrected vaccine efficacy formula and values are included in the revised manuscript.

(Just to mention, there was a minor error in calculation for Gr 3 in the efficacy and in Table 2. This has been corrected in the revised version)

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 2

Simon Clegg

15 Sep 2020

Impact of a candidate vaccine on the dynamics of salmon lice (Lepeophtheirus salmonis) infestation and immune response in Atlantic salmon (Salmo salar L.)

PONE-D-20-16484R2

Dear Dr. Swain

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Additional Editor Comments:

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Thanks

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Acceptance letter

Simon Clegg

23 Sep 2020

PONE-D-20-16484R2

Impact of a candidate vaccine on the dynamics of salmon lice (Lepeophtheirus salmonis) infestation and immune response in Atlantic salmon (Salmo salar L.)

Dear Dr. Swain:

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Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Fig. Two-way hierarchical clustering heat map for each tissue.

    The rows represent gene expression and the column represents different sampling points within respective groups. Group details: Group 1 is control group; Group2 received ip injection of adjuvant emulsified vaccine antigen; Group 3 received ip injection of adjuvant emulsified vaccine antigen + bath immunization.

    (PDF)

    S2 Fig. PCA analysis of head kidney samples post immunization and lice infestation.

    PCA analysis of head kidney samples from vaccinated (group 2 and 3) and only adjuvant vaccinated (group 1) groups at 0, 17, 28 and 50 dpi (A and B). Analysis was based on mean fold-changes of all genes for each individual sample at each sampling point (smaller symbols) relative to the unvaccinated control. The ellipses indicate the group dispersion/variability from the centroid (larger symbols) calculated using all individual fold-changes values/group (A). (C) shows the contribution of sampling points to different components. (D) shows the contribution of genes on different components and the significant genes contributing in principal component 1 and 2.

    (PDF)

    S3 Fig. PCA analysis of spleen samples post immunization and lice infestation.

    PCA analysis of spleen samples from vaccinated (group 2 and 3) and only adjuvant vaccinated (group 1) groups at 0, 17, 28 and 50 dpi (A and B). Analysis was based on mean fold-changes of all genes for each individual sample at each sampling point (smaller symbols) relative to the unvaccinated control. The ellipses indicate the group dispersion/variability from the centroid (larger symbols) calculated using all individual fold-changes values/group (A). (C) shows the contribution of sampling points to different components. (D) shows the contribution of genes on different components and the significant genes contributing in principal component 1 and 2.

    (PDF)

    S4 Fig. Transcriptional analysis of immune genes post immunization and lice infection.

    Transcript levels of the pro-inflammatory cytokines (A) and immune genes (B) in spleen, head kidney and skin at different sampling points: 69 days from first vaccination (69d) or zero day challenge and after challenge (dpi: days post infestation), were analysed by real-time QPCR. The QPCR data were normalized to the geometric mean of the 3 house-keeping genes (EF-1a, 18S and β-actin) and expression is relative to the pre-immunized level. Fold change was calculated using the primer efficiency. Data shown represent the mean ± SD of experiments performed in triplicate, n = 18 fish/group (6 fish/replicate). Statistical analysis was carried out using one-way ANOVA or Kruskal Wallis test followed by Tukey or Dunn's Multiple Comparison compared to control group (*P < 0.05, **P < 0.01, ***P < 0.001). Group details: Group 1 is control group; Group2 received ip injection of the adjuvant emulsified vaccine antigen; Group 3 received ip injection of adjuvant emulsified vaccine antigen + bath immunization.

    (PDF)

    S1 Table. Observation noted on day 8 post incubation of egg strings for assessing the hatching efficiency and visual health status of the hatched copepodids.

    Fifty egg strings (sampled from the first reproductive event at 50 dpi) from each experimental group were randomly distributed and incubated in 5 parallel aerated flow-through incubators (containing 500 mL filtered seawater/incubator at ~10°C) having 10 egg strings in each incubator. Group details: Group 1 is control group; Group 2 received ip injection of adjuvant emulsified vaccine antigen; Group 3 received ip injection of adjuvant emulsified vaccine antigen + bath immunization.

    (TIF)

    S1 Dataset

    Sheet 1: Lice count and fecundity raw data. Sheet 2: Mean data used for global gene expression analysis in different tissues: Skin, Spleen, and Head kidney.

    (XLSX)

    Attachment

    Submitted filename: Response to Reviewers.docx

    Attachment

    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    All relevant data are within the manuscript and its Supporting Information files.


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