Gene expression studies of host response to Salmonid alphavirus subtype 3 experimental infections in Atlantic salmon

  • Cheng Xu1,

    Affiliated with

    • Tz-Chun Guo1,

      Affiliated with

      • Stephen Mutoloki1Email author,

        Affiliated with

        • Øyvind Haugland1 and

          Affiliated with

          • Øystein Evensen1

            Affiliated with

            Contributed equally
            Veterinary Research201243:78

            DOI: 10.1186/1297-9716-43-78

            Received: 27 July 2012

            Accepted: 17 October 2012

            Published: 1 November 2012

            Abstract

            Salmonid alphavirus subtype-3 (SAV-3) infection in Atlantic salmon is exclusively found in Norway. The salmonid alphaviruses have been well characterized at the genome level but there is limited information about the host-pathogen interaction phenomena. This study was undertaken to characterize the replication and spread of SAV-3 in internal organs of experimentally infected Atlantic salmon and the subsequent innate and adaptive immune responses. In addition, suitability of a cohabitation challenge model for this virus was also examined. Groups of fish were infected by intramuscular injection (IM), cohabited (CO) or kept uninfected in a separate tank. Samples of pancreas, kidney, spleen, heart and skeletal muscles were collected at 2, 4 and 8 weeks post infection (wpi). Pathological changes were assessed by histology concurrently with viral loads and mRNA expression of immune genes by real time RT-PCR. Pathological changes were only observed in the pancreas and heart (target organs) of both IM and CO groups, with changes appearing first in the pancreas (2 wpi) in the former. Lesions with increasing severity over time coincided with high viral loads despite significant induction of IFN-α, Mx and ISG15. IFN-γ and MHC-I were expressed in all tissues examined and their induction appeared in parallel with that of IL-10. Inflammatory genes TNF-α, IL-12 and IL-8 were only induced in the heart during pathology while T cell-related genes CD3ε, CD4, CD8, TCR-α and MHC-II were expressed in target organs at 8 wpi. These findings suggest that the onset of innate responses came too late to limit virus replication. Furthermore, SAV-3 infections in Atlantic salmon induce Th1/cytotoxic responses in common with other alphaviruses infecting higher vertebrates. Our findings demonstrate that SAV-3 can be transmitted via the water making it suitable for a cohabitation challenge model.

            Introduction

            Salmonid alphaviruses (SAV) are pathogens of salmonid fish causing pancreas disease (PD) and sleeping disease (SD) in Atlantic salmon (Salmo salar L.) and rainbow trout (Oncorhynchus mykiss), respectively. They represent species of single stranded, positive polarity RNA viruses belonging to the genus Alphavirus in the family Togaviridae where they are the only ones infecting fish [1, 2]. At present, they have only been isolated in Europe [3] and are responsible for great economic losses in the farmed aquaculture industry [4]. SAV are grouped into 6 subtypes (SAV-1 to SAV-6) [5], with SAV-3 being the only subtype restricted to Norway [6].

            Clinical signs and histopathology associated with SAV infections are detailed elsewhere [3, 7] and include degeneration of the exocrine pancreas and myopathy of heart and skeletal muscles. Mortalities can range from 1% to about 48% [3, 8]. Commercial vaccines in the form of injectable preparations are available despite that the protection offered is equivocal [3]. Indeed the number of PD epizootics has remained high over the years [9].

            The development of efficacious vaccines depends on a good understanding of protective immune mechanisms. For SAV infections, this has not been achieved in detail and although several studies have been undertaken to examine host responses, very few have addressed in-vivo immune responses besides Desvinges and co-workers [10] who showed that phagocytic activity of head kidney leucocytes, levels of lysozymes and complement were significantly elevated following experimental infections, indicating an active immune reaction. These authors, however, failed to detect the interferon response probably due to the poor sensitivity of the method used. Interferons are the hallmark of antiviral responses in most living organisms [11] and have been shown to be important for the host response against alphaviruses in higher vertebrates [12]. They comprise three classes of cytokines (types I to III). Amongst the three types, types I (IFN α, β, ω, ε, κ) and III (λ) are directly induced by viruses [11, 1315]. For the remaining of this article, we will not differentiate between IFN subtypes.

            Following entry into the host, virus nucleic acids are sensed by host pattern recognition receptors (PRR) including Toll-like receptors (TLR 3/7/8/9) in endosomes and retinoic acid inducible gene I (RIG-I), melanoma differentiation factor-5 (MDA5) and DNA-dependent activator of IFN regulatory factors (DAI) in the cytosol [16]. Once activated, the receptors signal via MyD88/TRIF adaptors (TLR) or through the mitochondrion-associated adaptor IPS-1 (RIG-I and MDA5), all culminating in the phosphorylation and translocation of interferon regulatory factors (IRF) into the nucleus where they induce transcription of IFNα and IFNβ genes resulting in the production of IFN [1719]. Interferons exert their effects by binding to IFN receptors (IFNAR) on target cells thereby triggering signal transduction via the Janus kinase Signal transducer activator of transcription pathway [20]. This leads to the transcription of an array of antiviral genes such as Mx, ISG-15, double stranded protein kinase R (PKR) and 2’-5’oligoadenylate synthetase (OASs) [2123]. It is also noteworthy that a positive feed-back loop exists whereby IFNα and IFNβ act through IFNAR to up-regulate virus sensing and enhance antiviral responses [16].

            Through in-vitro studies, it has been shown that IFNα induces protection against SAV-3 induced-CPE in Atlantic salmon head kidney (TO) cells [24]. This is, however, dependent on the time of exposure to interferon prior to infection. Furthermore, a positive correlation between IFNα-stimulated gene Mx expression and protection of cells against SAV-induced CPE has also been demonstrated [25, 26]. The situation in-vivo, however, remains poorly understood. The in-vivo environment represents a complex milieu that differs from that of in-vitro settings. For interferons, it has been shown that these environments can yield different effects on viruses [27, 28]. While a recent study has shown that IFNα and its stimulated genes are up-regulated at early time (1–5 days) in the kidneys following SAV-1 infection of Atlantic salmon [29], antiviral responses in target organs remain unknown. The purpose of the present study therefore was to examine in-vivo host responses, especially IFNα and ISG, following experimental infection of Atlantic salmon with SAV-3 in target organs. Real-time PCR was used to assess gene expression changes. Although interferon expression is known to be important at early times following infection, sampling times of 2, 4 and 8 weeks following virus injection were chosen in the present study since this is when pathological changes are known to occur. Besides, interferon responses are known to play a role in the clearance of viruses even after the onset of adaptive immune responses [27]. Cohabitants were included in order to determine the suitability of such a model for fish challenges against SAV-3. Our findings demonstrate that the virus yield and pathology progress despite the expression of interferon and related genes, in conformity with earlier reports [24].

            Materials and methods

            Virus isolation and cell culture

            Chinook salmon embryonic cells (CHSE-214; ATCC CRL-1681) were used for virus propagation. The cells were maintained at 20°C with L-15 media (Invitrogen, Paisley, UK) supplemented with 5% FBS, L-glutamin and gentamycin. The virus used in the present study has previously been described [24], is fully sequenced and shown to be a typical SAV-3 subtype [GenBank: JQ799139].

            Experimental challenge

            Approximately 70 Atlantic salmon (Salmo salar L.) pre-smolts purchased from Sørsmolts AS in Sannidal, Norway and weighing 35 ± 10 g were used. The fish were healthy and the hatchery from which they were purchased had had no previous records of PD outbreaks. The fish were transported to the Norwegian School of Veterinary Science/Veterinary Institute shared wetlab by road in oxygenated bags. After 1 week acclimatization, the fish were treated with formalin (diluted 1:4000 in water) against ectoparasites for 30 min. The fish were then kept for a further week prior to the start of the experiment.

            Challenging of the fish was done by first anaesthetizing them with 0.5 mL chlorobutanol per 1L of water. Thirty fish were injected intramuscularly (IM) with 0.2 mL of the virus (2 × 106 TCID50/mL). One group of 15 uninfected fish were fin-clipped and cohabitated with the virus-injected group to document virus replication to a level that will result in virus shedding and spread through water. The control group consisted of 15 fish that were injected with L-15 medium and were kept in a separate tank from the SAV-infected fish.

            Sample collection

            At 2, 4 and 8 weeks post-infection (wpi), 10 SAV-3 injected fish, 5 cohabitants and 5 control fish were sacrificed. Parallel tissues including head kidney, spleen, heart, pancreas and muscle were collected in 10% phosphate buffered formalin for histopathology and RNAlater (Sigma, St. Louis, USA) for gene expression analysis. Tissue samples preserved in formalin were fixed for a minimum of 4 days while those kept in RNAlater were stored at −80°C until required.

            Histopathology

            Paraffin-embedding, sectioning and staining with hematoxylin and eosin (H&E) were done according to standard histological procedures.

            RNA isolation and cDNA synthesis

            Total RNA was isolated using the RNeasy mini Kit (Qiagen, Hilden, Germany) with on-column DNase treatment according to the manufacturer’s instructions. The concentration of RNA was determined by spectrophotometry using the Nanodrop ND1000 (Nanodrop Technologies, Wilmington, USA). For each sample, 1 μg of total RNA was subjected to cDNA synthesis using the SuperScript III reverse transcriptase system (Invitrogen, Paisley, UK) and oligo(dT)20 primers in a total volume of 20 μL. The synthesized cDNA was diluted 5 times by adding 80 μL distilled water and stored at −20°C until further use.

            Quantitative real-time PCR

            Quantitative real-time PCR was performed using the LightCycler® 480 (Roche, Mannheim, Germany) instrument. For each gene, 2 μL of cDNA was used as template in a mixture of specific primers (10 μM) and the LightCycler 480 SYBR Green I Master mix (Roche) in a final volume of 20 μL. The mixtures were first incubated at 95°C for 10 min, followed by 40 amplification cycles (10 s at 95°C, 20 s at 60°C and 8 s at 72°C). The sequences of all primers used in this study are provided in Table 1.
            Table 1

            Primers and probe sequences used for quantitative real-time PCR

            Genes

            Primer sequence

            GenBank accession no.

            β-actin

            Fwd

            CCAGTCCTGCTCACTGAGGC

            AF012125

             

            Rev

            GGTCTCAAACATGATCTGGGTCA

             

            SasaIFN-α

            Fwd

            TGGGAGGAGATATCACAAAGC

            AY216594

             

            Rev

            TCCCAGGTGACAGATTTCAT

             

            Mx

            Fwd

            TGCAACCACAGAGGCTTTGAA

            U66475

             

            Rev

            GGCTTGGTCAGGATGCCTAAT

             

            ISG15

            Fwd

            AAGTGATGGTGCTGATTACGG

            AY926456

             

            Rev

            TTGGCTTTGAACTGGGTTACA

             

            IFN-γ

            Fwd

            CTAAAGAAGGACAACCGCAG

            AY795563

             

            Rev

            CACCGTTAGAGGGAGAAATG

             

            TNF-α (1&2)

            Fwd

            AGGTTGGCTATGGAGGCTGT

            NM_001123589

             

            Rev

            TCTGCTTCAATGTATGGTGGG

            NM_001123590

            IL12-β

            Fwd

            CTGAATGAGGTGGACTGGTATG

            BT049114

             

            Rev

            ATCGTCCTGTTCCTCCG

             

            IL-10

            Fwd

            CGCTATGGACAGCATCCT

            EF165029

             

            Rev

            AAGTGGTTGTTCTGCGTT

             

            IL-8

            Fwd

            GGCCCTCCTGACCATTACT

            NM_001140710

             

            Rev

            ATGAGTCTACCAATTCGTCTGC

             

            CD3-ε

            Fwd

            TCAGGGCTCGGAAGAAGTCT

            NM_001123622

             

            Rev

            GCCACGGCCTGCTGA

             

            CD4

            Fwd

            GAGTACACCTGCGCTGTGGAAT

            NM_001124539

             

            Rev

            GGTTGACCTCCTGACCTACAAAGG

             

            CD8-α

            Fwd

            CACTGAGAGAGACGGAAGACG

            NM_001123583

             

            Rev

            TTCAAAAACCTGCCATAAAGC

             

            TCR-α

            Fwd

            GCCTGGCTACAGATTTCAGC

            BT050114

             

            Rev

            GGCAACCTGGCTGTAGTAGC

             

            MHC I

            Fwd

            CTGCATTGAGTGGCTGAAGA

            AF508864

             

            Rev

            GGTGATCTTGTCCGTCTTTC

             

            MHC II

            Fwd

            TCTCCAGTCTGCCCTTCACC

            BT049430

             

            Rev

            GAACACAGCAGGACCCACAC

             

            NSAV-E2*

            Fwd

            CAGTGAAATTCGATAAGAAGTGCAA

            EF675594

             

            Rev

            TGGGAGTCGCTGGTAAAGGT

             

            E2 Probe*

             

            FAM-5’- AGCGCTGCCCAAGCGACCG- 3’-MGB

             

            *From Hodneland & Endresen [30].

            For the viral E2 gene, the reaction mix containing 10 μL of Probe Master, 1 μL of primer-probe mix (final concentration of each primer (0.9 μM, probe 0.25 μM), 2 μL of cDNA template and 7 μL water was incubated for 10 min at 95°C, followed by 45 amplification cycles (10 s at 95°C, 30 s at 60°C and 1 s at 72°C). To calculate the absolute quantity of the virus, recombinant pGEM-T easy (Promega, Madison, USA) plasmid containing the E2 gene of SAV-3 was used to make a standard curve in nine orders of magnitude from 100 to 108, thus the copy number or viral cDNA was determined. The specificity of the PCR products from each primer pair was confirmed by the melting curve analysis and subsequent agarose gel electrophoresis.

            The relative expression of the following genes was examined: IFN-α, Mx, ISG-15, IFN-γ, TNF-α, IL-12, IL-10, IL-8, CD3ε, CD4, CD8, TCR-α, MHC-I, and MHC-II. To calculate the gene products, the 2-CT method was used as described elsewhere [31]. All quantifications were normalized to β-actin.

            Statistical analysis

            One-way ANOVA with the Bonferroni post test was performed using GraphPad Prism version 5.00 for Windows (GraphPad Software, San Diego, CA, USA). The significant level for rejection of Ho was set at p < 0.05.

            Results

            Pathological changes, viral load and innate immune responses

            Salmonids challenged with SAV do not develop clinical signs and mortalities are absent [3, 32, 33] but intramuscular or intraperitoneal injection of virus has been shown to result in an infection with high replication levels in target organs [32] with reproducible pathology. These infections are typically observed from 3 weeks post challenge and onwards, but with some differences between subtypes [34]. In order to understand the dynamics of infection we studied the interaction between viral proliferation of SAV-3 and host responses. This included, firstly, the description of pathology in primary target organs (pancreas and heart) and concomitantly, an assessment of virus replication levels in these organs; secondly, an assessment of the innate host responses following infection by examination of certain cellular markers and cytokines at transcription level before attempting to characterize the ensuing adaptive immune response. Tissues tested included primary target organs of SAV-3 and also the secondary replication site (skeletal muscle). In addition we also examined virus replication and also innate and adaptive immune genes in the head kidney and spleen. The expression of genes in the group injected intramuscularly (IM) as well as cohabitants (CO) were reported as mean fold changes relative to the control group.

            Fish intramuscularly injected with SAV-3

            In the IM group, pathological changes were first observed at 2 weeks post infection (wpi) in the pancreas characterized by acinar cell necrosis (Figure 1a), concomitant with high virus replication (Figure 2a). This was found despite high up-regulation of IFNα expression at 2 wpi (Figure 3a), increased expression of interferon-stimulated genes (ISGs) Mx (Figure 3b) and ISG-15 (Figure 3c). At 4 wpi, advanced degeneration and necrosis of acinar cells as well as inflammatory cell infiltration was observed in this group (Figure 1b), and correspondingly higher virus replication at this time point, increasing slightly from 2 to 4 wpi, albeit non-significantly (Figure 2a). Despite a higher inflammatory index in the pancreas at 4 wpi, there was no additional increase in expression of IFN-α; the expression was not different at 2 wpi compared to 4 wpi (Figure 3a). The same was observed with Mx and ISG-15 (Figure 3b and c). By 8 wpi, these pathological changes progressed to the extent that most of the exocrine pancreatic tissue had been lost (Figure 1c). This resulted in a further decline in the amount of virus (Figure 2a; p < 0.001), as would be expected when the tissue supporting virus replication is lost. IFN-α expression at 8 wpi (Figure 3a) had been reduced to background levels (p < 0.01), also in conformity with the loss/destruction of most of the exocrine pancreatic tissue at this time point. Mx and ISG-15 also fell to background levels (Figure 3b and c).
            http://static-content.springer.com/image/art%3A10.1186%2F1297-9716-43-78/MediaObjects/13567_2012_Article_193_Fig1_HTML.jpg
            Figure 1

            Pathological changes in different tissues of Atlantic salmon following infection with salmonid alphavirus subtype 3. (A) Pancreas, 2 wpi. Arrows = Multifocal necrosis in exocrine pancreatic cells.); (B) Pancreas, 4 wpi. Star = necrotic areas; (C) Pancreas, 8 wpi. Note depleted exocrine tissue; (D) Heart (ventricle), 2 wpi, normal; (E) Heart (ventricle), 4 wpi. Arrow = necrotic myocardial cell; (F) Heart (ventricle), 8 wpi, extensive cardiomyocytic necrosis and infiltration of inflammatory cells in the compact and spongious layers.

            http://static-content.springer.com/image/art%3A10.1186%2F1297-9716-43-78/MediaObjects/13567_2012_Article_193_Fig2_HTML.jpg
            Figure 2

            Salmonid alphavirus subtype 3 replication in different tissues of Atlantic salmon. A) Viral replication in different organs in intramuscularly-injected fish (average +SEM; n = 6 except for muscle where n = 3) (*p < 0.001). B) Viral replication in different organs of cohabitant fish at indicated time points. (average +SEM; n = 2 to 5) (*p < 0.001). wpi = weeks post infection. The virus was measured by the detection of copies of the E2 gene by real-time RT-PCR, expressed as log10 of total RNA.

            http://static-content.springer.com/image/art%3A10.1186%2F1297-9716-43-78/MediaObjects/13567_2012_Article_193_Fig3_HTML.jpg
            Figure 3

            Expression of interferon alpha and ISG in different tissues of Atlantic salmon following injection and cohabitation challenge. IFN-α (A), Mx (B) and ISG-15 (C) gene expression measured at different times post challenge in injected fish. Mean values ± SEM relative to the mean of the control group (n = 9–10, except for muscle n = 3). Similar responses are presented in cohabitant fish, IFN-α (D), Mx (E) and ISG-15 (F) in the pancreas, heart and muscle tissues. Mean values ± SEM relative to the mean of the control group (n = 3–5). *p < 0.01, **p < 0.001.

            In the heart, no histopathological changes were observed at 2 wpi (Figure 1d) and the first lesions were observed at 4 wpi, seen as necrotic myocardial cells in the spongy layers (Figure 1e). IFN-α was markedly upregulated by 2 wpi but unlike the pancreas, the expression in the heart remained fairly constant (p = 0.05) from 2 to 4 wpi (Figure 3a). Similarly, Mx and ISG-15 was markedly upregulated by 2 wpi, 50-fold and 640-fold, respectively. Despite this, there was a sharp increase in viral load during this period (Figure 2a, p < 0.001). By 8 wpi, the severity of lesions in terms of necrotic cardiomyocytes increased and there was a marked infiltration of inflammatory cells not seen at 4 wpi, firstly in the ventricular spongy layer, then extending to the compact layers (Figure 1f). Occasionally, necrotic cells were also found in the atrium. The viral load remained unchanged from 4 to 8 wpi (Figure 2a). At 8 wpi there was a moderate increase of IFN-α expression (non-significant) consistent with the increase in inflammatory response at this time point (Figure 1f). The expression of Mx was lower (non-significant) and markedly down for ISG-15 (p < 0.001) in this organ (Figure 3b and c).

            While no histopathological changes were found in the skeletal muscle over the course of the experiment, there was a steady increase in viral load from 2 to 8 wpi (Figure 2a, p < 0.001; 2w versus 8w and 4w versus 8 wpi). In the skeletal muscles, IFN-α was not differentially expressed at 2 and 4 wpi although both Mx and ISG-15 were significantly up-regulated at these time points (Figure 3b and c). At 8 wpi however, IFN-α expression was significantly up-regulated (p < 0.001), coinciding with high expression levels of Mx and ISG-15 (Figure 3b and c; p < 0.001).

            While there was a relatively high replication of virus (1 log10 less than the target organs) in head kidney and spleen (Figure 2a), no lesions were observed in these organs throughout the study period.

            Cohabitant fish

            In these fish, the virus was detected in all organs at all sampling times except at 2 wpi in the skeletal muscle (Figure 2b). At 2 and 4 wpi, low viral loads (about 102 to 103 copy numbers/μg of total RNA) were detected in tissues (Figure 2b). This translated to 2–3 log10 times lower than the virus detected in the IM group and these viral loads were associated with no pathology. At 8 wpi however, the virus load had increased to above 106 copy numbers/μg of total RNA in the pancreas and heart, coinciding with histopathological changes. The lesions in these organs were similar to those observed in the IM group at an earlier sampling time point (Figure 1).

            The expression of IFNα in all organs sampled followed a similar trend i.e. induced at 2 wpi followed by a slight drop at 4 wpi and an increase again at 8 wpi (Figure 3d). This pattern was the same as that of IFN-induced genes Mx and ISG-15 in the heart. In the pancreas and skeletal muscles however, the expression of IFN-induced genes increased with time from 2 to 8 wpi (Figure 3e and 3f). It is noteworthy that the expression of IFNα, Mx and ISG-15 increased in the presence of pathology, consistent with the observations in the IM group.

            Control fish

            No mortalities were observed in any of the groups of fish in this study. No viruses were detected from the control fish, nor were any lesions observed.

            Expression of immune-related genes of adaptive immunity

            The mRNA expression of IFN-γ, TNF-α, IL-12, IL-10, IL-8, CD3ε, CD4, CD8, TCR-α, MHC-I, and MHC-II were examined in the spleen, head kidney, pancreas and heart in addition to IFN-α and ISG described in the previous section.

            The earliest immune response to the infection was observed in the head kidney, with IFN-γ, IL-10 and MHC-I being significantly up-regulated at 2 wpi indicating a pro-inflammatory response (Table 2). At the same time point, MHC-I was also up-regulated in the pancreas.
            Table 2

            Relative expression of immune related genes in different tissues of Atlantic salmon after SAV-3 infection

            Tissues

            Spleen

            Head kidney

            Pancreas

            Heart

            Genes

            Weeks

             

            2

            4

            8

            2

            4

            8

            2

            4

            8

            2

            4

            8

            IFN-γ

            0.7 ± 0.2

            2.4 ± 0.5*

            0.8 ± 0.1

            3.0 ± 0.7*

            4.1 ± 1.1*

            0.8 ± 0.1

            3.4 ± 0.7

            7.2 ± 0.9*

            1.5 ± 0.4

            1.1 ± 0.2

            6.3 ± 3.0*

            89.3 ± 23.2*

            TNF-α

            0.5 ± 0.1

            0.7 ± 0.1

            1.4 ± 0.4

            1.2 ± 0.3

            1.0 ± 0.3

            0.6 ± 0.2

            1.3 ± 0.3

            1.4 ± 0.2

            1.2 ± 0.1

            2.2 ± 0.9

            2.5 ± 0.3*

            8.1 ± 1.5*

            IL-12

            0.7 ± 0.1

            1.6 ± 0.2

            0.8 ± 0.2

            0.8 ± 0.1

            1.0 ± 0.1

            1.0 ± 0.1

            2.2 ± 0.3

            0.6 ± 0.1**

            1.7 ± 0.4

            1.0 ± 0.3

            0.9 ± 0.2

            3.3 ± 0.7*

            IL-10

            0.9 ± 0.1

            7.5 ± 1.4*

            2.8 ± 0.5*

            10.0 ± 1.6*

            21.2 ± 4.1*

            4.7 ± 1.1*

            3.1 ± 0.6

            23.9 ± 6.5*

            3.2 ± 0.8*

            1.1 ± 0.3

            4.1 ± 1.5

            37.3 ± 7.6*

            IL-8

            1.5 ± 0.3

            1.5 ± 0.6

            3.0 ± 0.6*

            1.0 ± 0.4

            2.3 ± 0.8

            1.9 ± 0.5

            1.3 ± 0.2

            1.7 ± 0.2

            1.4 ± 0.2

            1.0 ± 0.1

            1.7 ± 0.3

            5.7 ± 1.2*

            CD3-ε

            0.9 ± 0.1

            0.9 ± 0.1

            0.7 ± 0.1

            0.6 ± 0.1

            1.6 ± 0.2

            1.7 ± 0.4

            1.5 ± 0.3

            1.4 ± 0.1

            1.7 ± 0.2*

            1.0 ± 0.2

            1.3 ± 0.2

            10.4 ± 1.9*

            CD4

            0.7 ± 0.1

            1.3 ± 0.1

            1.1 ± 0.2

            0.7 ± 0.1

            0.9 ± 0.1

            1.1 ± 0.1

            1.2 ± 0.2

            1.1 ± 0.2

            1.9 ± 0.3*

            1.1 ± 0.5

            2.5 ± 0.7

            11.1 ± 1.8*

            CD8

            1.2 ± 0.2

            1.3 ± 0.3

            1.2 ± 0.3

            1.0 ± 0.3

            0.5 ± 0.1**

            0.7 ± 0.1

            0.4 ± 0.0**

            0.7 ± 0.1

            2.1 ± 0.2*

            1.0 ± 0.2

            0.8 ± 0.3

            51.6 ± 9.7*

            TCR-α

            1.5 ± 0.2

            1.0 ± 0.1

            1.0 ± 0.2

            0.8 ± 0.2

            0.6 ± 0.1**

            0.7 ± 0.1

            1.4 ± 0.1

            1.4 ± 0.2

            2.0 ± 0.3*

            0.5 ± 0.1

            0.8 ± 0.2

            16.4 ± 2.5*

            MHC I

            1.7 ± 0.2

            3.1 ± 0.2*

            1.5 ± 0.2

            1.7 ± 0.2*

            2.4 ± 0.2*

            1.5 ± 0.1*

            3.7 ± 0.7*

            1.4 ± 0.2

            2.1 ± 0.2*

            1.5 ± 0.3

            4.4 ± 0.5*

            8.2 ± 0.8*

            MHC II

            1.1 ± 0.1

            1.6 ± 0.2

            1.2 ± 0.2

            0.9 ± 0.1

            1.7 ± 0.2*

            1.4 ± 0.2

            1.8 ± 0.3

            1.4 ± 0.2

            1.6 ± 0.3

            0.5 ± 0.1**

            1.5 ± 0.3

            5.1 ± 0.8*

            The results are shown as mean fold change ± standard error of virus infected group relative to the mean of the control group. Key: *Significantly up-regulated; **Significantly down regulated, otherwise not differentially induced (P > 0.05).

            By 4 weeks, the head kidney and spleen showed a similar pattern with IFN-γ, IL-10 and MHC-I being up-regulated (Table 2). For the head kidney, MHC-II was also found to be up-regulated, although moderately while there was a down-regulation of CD8 and TCR-α (Table 2), possibly as an indication of export of these cells to the site of infection (pancreas and heart). Several pro-inflammatory genes were up-regulated in the pancreas and heart at this time point including IFN-γ (in both organs), TNF-α (heart), and MHC-I in the heart. In addition IL-10 was markedly up-regulated in the pancreas (Table 2).

            At 8 wpi, fewer genes were differentially regulated in the spleen and head kidney. In the former, the expression of IL-10 continued to be induced probably to dampen the immune response while IL-8, a chemo-attractant was up-regulated at this time point (Table 2). In the head kidney, only MHC-I and IL-10 were induced at 8 wpi. In contrast, more immune-related genes were induced in the primary target organs (pancreas and heart) at 8 wpi compared to earlier time points. In the pancreas, there was a marked up-regulation of T cell markers/T cell responses (CD3, CD4, CD8, TCR, MHC-I) plus IL-10 while in the heart, all these genes as well as pro-inflammatory markers (IFN-γ, TCR-α, IL-12, IL-8 and MHC-II) were induced (Table 2).

            Discussion

            In this study we show that SAV-3 infection of Atlantic salmon cause pathology in target organs alongside high viral replication despite high expression levels of IFNα mRNA and interferon-stimulated genes, ISG-15 and Mx, at early time points post challenge. Type 1 interferons are well known for the establishment of an antiviral state in neighboring uninfected cells following viral invasion in vertebrates [11, 13]. This is most important during the early stages of an infection, prior to the onset of the adaptive immune response. The increase in viral loads over time in target organs (pancreas, heart and skeletal muscles) and the progression of pathology in the pancreas and heart despite the up-regulation of IFN-α, Mx and ISG-15 (Figure 3) suggest that the onset of the innate response comes too late to limit virus replication. This fits well with a previous report where treatment of cells with IFN-α at the same time as SAV-3 infection failed to protect the cells against CPE in an in-vitro model [24].

            All tissues examined in the present study contained SAV-3 and the kinetics of viral loads were in general consistent with the trends of expression of IFN-α, in common with reports of previous studies done in Atlantic salmon-derived cells [24] and also with other viruses [35]. The anticipation is that SAV-3 was sensed by host cells via pattern recognition receptors such as MDA-5 and LGP2 [36] leading to the expression and induction of IFN-α and consequently ISG [28]. The trends of induction of Mx and ISG-15 by IFN-α were, on average, consistent with previous reports [24, 25] while the relationship between the expression profiles was not always proportional and for ISG-15, a somewhat different expression pattern was observed in some tissues of the IM group. In one study using an in-vitro model to assess the induction of ISG by IFN-α, similar inconsistencies were observed [37]. These findings probably reflect the complexity of the interferon signaling pathways or the diversity in fish since most fish ISG are often duplicated [13], as well as the effect of IFN-α independent stimulation of ISG [38, 39].

            In higher vertebrates, down-stream effects of IFN-α/β induction include the increased expression of MHC I molecules [40] and activation of NK cells [41, 42]. From the genes examined in the present study (Table 2), MHC I was one of the earliest genes to be induced in each organ following increased virus expression and up-regulation of IFN-α. This was consistent with previous reports where a strong association was found between IFN induction and the transcription of MHC I gene [43]. MHC I is expressed in all nucleated cells and its transcription is elevated during viral infections as a result of IFN-α/β induction and more especially, IFN-γ [44]. It is noteworthy that in the present study, MHC I was also induced in almost all tissues where IFN-γ was up-regulated (Table 2), suggesting an association between the two genes in SAV infections in Atlantic salmon as also reported by others [37].

            IFN-γ is a powerful pro-inflammatory cytokine produced by cells of the lymphocyte lineage and is required for the control of intracellular pathogens [45]. Its target cells are mainly those of the monocytic origin but CD4+ Th1 cells are also activated [46, 47]. In the present study, the expression of IFN-γ at 2 and/or 4 wpi in all organs analyzed suggests the involvement/activation of NK-like cells as part of the innate response since at these time points, there was no accompanying expression of T cell-related genes (CD4+, CD8+, TCR, CD3ε) (Table 2). This was consistent with the report that NK cells are the primary source of IFN-γ during the innate immune response [11, 48]. However at 8 wpi, the expression of different genes (MHC I, CD8, TCR, MHC II, IL-12, CD4, TCR and CD3ε genes as well as the augmentation of IFN-γ) in the heart suggests a combined cytotoxic and Th1 mediated response. The pathological changes observed and the infiltration of inflammatory cells (Figure 1) fit very well with the expression of TNF-α and IL-8. It is noteworthy that the up-regulation of genes suggestive of a Th1/cytotoxic response was associated with inflammation/pathology at 8 weeks, with the reaction in the pancreas being greatly down-scaled suggesting a contraction phase. Even though IFN-γ has been shown to have a mild direct effect on SAV-3 [24], it appears to play an important role in shaping the cell mediated response or possibly contributes to the pathology seen in the target organs.

            In conformity with the latter notion, it has been shown from studies of higher vertebrates that the expression of IFN-γ requires tight control since it can lead to immunopathology [49]. Furthermore, it has also been demonstrated that IFN-γ producing cells are suppressed by IL-10. IL-10 on the other hand, is itself produced by a large number of immune cells including regulatory and IFN-γ producing T cells [45, 50, 51]. In the present study IL-10 was consistently induced alongside IFN-γ, with the two genes showing similar trends (Table 2) that also rhymed with viral loads in individual tissues. These findings suggest the conservation of the regulation of these genes in vertebrates.

            In the present study, no samples were collected prior to day 14 in the IM group, therefore, data showing the initial distribution of virus before this time is lacking. However, the viral loads of cohabitants at 2 wpi represent infection at an earlier time point compared to 2 wpi in the IM group. These results suggest that the pancreas, heart, kidney and spleen are probably all infected about the same time although the virus ultimately replicates to different levels in the different organs, with the highest load being reached in the pancreas and heart in the cohabitant group (Figure 2b). In the IM group, the virus was administered via skeletal muscle injection and it is not unlikely that an initial replication of virus occurred at the injection site, probably followed by the “draining” of the virus to other organs. The association between high viral loads and pathology in the pancreas and heart (Figures 1 and 2) suggest that the virus threshold for pathology in these organs is just above 106 virus RNA copy numbers/μg of total RNA. The presence of SAV-3 in all tissues examined was consistent with previous reports that the virus has a wide range of tissue tropism in Atlantic salmon [32]. The finding of the highest viral load and pathology in the pancreas at 2 wpi in the IM group compared to other tissues is interesting especially since the viral loads culminated in all organs except the skeletal muscle at 4 weeks. This suggests that the pancreas is the most preferred site of SAV-3 replication. Several other reports allude to the pancreas as the first organ in which pathology is observed following SAV infection [3, 33] and this fits with the definition of virus tropism, that being the ability of a virus to infect or cause damage to cells or tissues. On the contrary the slow and protracted increase in viral load in the skeletal muscles suggests that the organ is a site for viral persistence, in agreement with previous studies that have reported virus in this organ long after infection [32].

            No lesions were observed in the skeletal muscles in the present study, in contrast with previous reports [3, 7]. The viral load during the final sampling of the study was on the increase suggesting that termination at 8 weeks was probably too early, which would explain the lack of lesions. For mice infected with Sindbis virus fatalities occur when the virus invades the neurons [12]. For SAV-3 infections in Atlantic salmon, it is not clear which organs or the degree of pathology correlate with mortalities and should be a subject for further studies.

            As already stated, a relationship exists between the viral load and tissue pathology, i.e. a viral load threshold has to be reached before pathology is caused. The delay in this threshold and also in the appearance of pathological changes in cohabitants in the present study compared to the IM group is consistent with a previous report where pathological changes in the former were not observed until 3 weeks following challenge [34]. These findings demonstrate that SAV-3 can spread via water, making the cohabitation challenge a possibility. The IM route of infection for SAV-3 is not natural since it is expected that fish get infected either through vectors or the water itself. Challenge studies using the cohabitation model have previously been described although they have not performed according to expectations firstly because of the difficulty to induce mortalities experimentally for SAV in general [32, 34, 52] and secondly because the strength of virus challenge seems to be somewhat attenuated compared to IM challenge [53]. In the present study, the presence of virus at low titers in cohabitants (Figure 2b, 2 and 4 wpi) probably allowed the fish to mount a protective immune response resulting in the delay/down regulation of pathology. Cohabitation challenge models for this virus should therefore aim to produce high quantities of infectious virus by shedders in order to enhance pathology in cohabitants or increase the number of shedders and thereby raise the infection pressure.

            Finally, the rational development of vaccines offering protective immunity against pathogens relies on knowledge of basic immune responses to particular infections. This is not known in detail for SAV-3 infections in Atlantic salmon although a recent study performed by our group points to antibody responses playing a role [54]. In the present study, we demonstrate that SAV-3 infections induce mRNA transcripts of genes including IFN-α and its stimulated genes (ISG) at early time, followed by IFN-γ, TNF-α, IL-12, IL-10, IL-8, CD3ε, CD4, CD8, TCR-α, MHC-I, and MHC-II as the infection progresses. This is similar to what has been observed in other alphavirus infections in higher vertebrates [12, 55], and suggests that the protection of fish against SAV-3 should be aimed at protocols that include eliciting both Th1 polarized and/or cytotoxic responses.

            Declarations

            Acknowledgements

            This work was supported by a grant from the Research Council of Norway “Immunisation strategies against viral pathogens of Atlantic salmon,” project no. 182035.

            Authors’ Affiliations

            (1)
            Norwegian School of Veterinary Science, Department of Basic science and Aquatic Medicine

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            This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://​creativecommons.​org/​licenses/​by/​2.​0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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