- 1Vaxxinova Research & Development GmbH, Münster, Germany
- 2Norwegian College of Fishery Science, Faculty of Biosciences, Fisheries & Economics, UiT The Arctic University of Norway, Tromsø, Norway
Background: Interferon (IFN) responses are critical in the resolution of viral infections and are actively targeted by many viruses. They also play a role in inducing protective responses after vaccination and have been successfully tested as vaccine adjuvants. IFN responses are well conserved and function very similar in teleosts and mammals. Like in mammals, IFN responses in piscine cells are initiated by intracellular detection of the viral infection by different pattern recognition receptors. Upon the recognition of viral components, IFN responses are rapidly induced to combat the infection. However, many viruses may still replicate and be able to inhibit or circumvent the IFN response by different means.
Methods: By employing CRISPR Cas9 technology, we have disrupted proteins that are central for IFN signaling in the salmonid cell line CHSE-214. We successfully generated KO clones for the mitochondrial antiviral signaling protein MAVS, the transcription factors IRF3 and IRF7-1, as well as a double KO for IRF7-1/3 using an optimized protocol for delivery of CRISPR-Cas ribonucleoproteins through nucleofection.
Results: We found that MAVS and IRF3 KOs inhibited IFN and IFN-stimulated gene induction after intracellular poly I:C stimulation as determined through gene expression and promoter activation assays. In contrast, the IRF7-1 KO had no clear effect. This shows that MAVS and IRF3 are essential for initiation of intracellular RNA-induced IFN responses in CHSE-214 cells. To elucidate viral interference with IFN induction pathways, the KOs were infected with Salmon alphavirus 3 (SAV3) and infectious pancreatic necrosis virus (IPNV). SAV3 infection in control and IRF7-1 KO cells yielded similar titers and no cytopathic effect, while IRF3 and MAVS KOs presented with severe cytopathic effect and increased titers 6 days after SAV 3 infection. In contrast, IPNV yields were reduced in IRF3 and MAVS KOs, suggesting a dependency on interactions between viral proteins and pattern recognition receptor signaling components during viral replication.
Conclusion: Aside from more insight in this signaling in salmonids, our results indicate a possible method to increase viral titers in salmonid cells.
1 Introduction
The Atlantic salmon aquaculture industry in Norway has grown extensively over the last decades, but emerging and recurring diseases are still a problem. Many of these diseases are caused by viruses against which we lack effective vaccines (1). The interferon (IFN)– induced anti-viral state of host cells is a crucial component of successful protection against viral infection. For salmonid cells, antiviral responses in cell lines have shown a clear influence on viral replication (2–7). These cellular antiviral responses can be induced rapidly after activation of pathogen pattern recognition receptors (PRRs). Different PRRs recognize different pathogens or danger associated molecular patterns, and, in case of viral infection, these are often RNA molecules. Binding of their ligand leads to the activation of the PRRs, and the activation of signaling pathway(s) cumulates mainly in the production of IFNs (8). IFNs are cytokines that bind and activate extracellular IFN receptors on other cells or, as observed in rainbow trout, intracellular IFN receptors in the same cell (9). Finally, the IFN signaling pathway leads to the expression of IFN-stimulated genes (ISGs), most of which have anti-viral functions (10).
The PRRs consist of different families, such as Toll-like receptors (TLRs), nucleotide-binding oligomerization domain (NOD)-like receptors (NLRs), and Retinoic acid-inducible gene I (RIG)-I–like receptors (RLRs), whereas additional members have been described in recent years (11). The first and most extensively investigated PRRs are the TLRs. The number of TLRs identified in species varies quite a lot within vertebrates, with 13 TLRs described in mammals and 28 functional TLRs in teleosts (12, 13). TLRs are located on the cell membrane or in endosomal compartments and can recognize a wide range of molecules, such as LPS, flagellin, single- stranded RNA (ssRNA), double- stranded RNA (dsRNA), and CpG DNA (13). TLR signaling can occur through interrelated pathways, which usually include the adaptors Myeloid differentiation primary response 88 (MyD88) and/or TIR-domain-containing adapter-inducing interferon-β (TRIF), and leads to activation of one or more transcription factors, most notably, IFN regulatory factor (IRF) 3, IRF7, and NFκB, and, finally, IFN expression (13).
The RLR family consists of three cytosolic receptors: RIG-I, melanoma differentiation-associated protein 5 (MDA5), and Laboratory of Genetics and Physiology 2 (LGP2). These receptors recognize ssRNA or dsRNA. RIG-I and MDA5 ligand binding leads to activation of mitochondrial antiviral-signaling protein (MAVS) after interactions through caspase activation recruitment domains (CARDs) on the RLRs and MAVS (13), whereas LGP2 is suggested to have a function regulating the other RLRs. MAVS (also named CARDIF, IPS1, or VISA) contains a transmembrane domain that anchors it to the mitochondrial membrane, which is necessary for its function (14, 15). The signaling pathway downstream of MAVS activates similar transcriptions factors as the TLR pathway, followed by IFN transcription and induction of an anti-viral state through ISG expression (10).
Because these innate anti-viral responses are crucial for protection, it is expected that viruses have evolved ways to evade these responses (16). The naked dsRNA infectious pancreatic necrosis virus (IPNV) is a salmonid virus that potently inhibits the IFN response. IPNV infection in vitro does not induce IFN expression in certain cell types (10, 17), and several IPNV proteins have been shown to inhibit ifna1 expression (18). Salmonid alphavirus (SAV), an enveloped ssRNA virus, is another highly pathogenic salmonid virus, but it strongly induces IFN responses in infected cell lines, in contrast to IPNV (19–22). An investigation into the role of key components of the PRR signaling that leads to IFN expression can help to gain more insight in these host–pathogen interactions. A knockout (KO) of these key components in cell lines through gene editing can shed light on their roles.
In recent years, gene editing has been hugely facilitated through revolutionary advances surrounding CRISPR-Cas. Originally discovered as an innate immune system in bacteria, CRISPR-Cas was soon developed into a cost-effective and fast way to introduce specific and targeted gene edits (23, 24). Although most protocols and reagents have been developed for use in mammalian systems, CRISPR-Cas gene edits have been performed in salmonids after injection in embryos (25), transfection of plasmids or ribonuclear proteins (RNPs) in cell lines (26, 27), or lentiviral delivery (28).
We investigated the differences between SAV and IPNV infections in CHSE-214 cells on an IFN activation level. More specifically, we evaluated the effect of PRR signaling upon stimulation or viral infection on ISG expression and viral growth in CHSE-214 cells by knocking out the RLR signaling molecule MAVS and the transcription factors IRF3 and IRF7-1. To this end, we developed a protocol for efficient CRISPR-Cas editing in CHSE-214 cells using RNP nucleofection and generated four KO cell lines: MAVS, IRF3, IRF7-1, and a IRF7-1/3 double KO. Because the CHSE-214 cell line seems to have limited TLR activity (29), these KOs would mainly affect RLR signaling. We evaluated the effect of the KOs on PRR signaling and viral growth through titration of virus, expression analysis of IFNs and ISGs, and promoter reporter assays to investigate activation of IFN and ISG promoters. Our results demonstrated that MAVS and IRF3 are essential for induction of IFN type I production in CHSE-214 cells, whereas the IRF7-1 KO did not affect IFN induction. The inhibition of IFN type I responses resulted in increased SAV3 titers, whereas IPNV titers were reduced. Those KO cell lines that showed an increased SAV3 replication could be useful for virus production in the industry or for research.
2 Materials and methods
2.1 Culture of cells and pathogens
Chinook salmon embryo cells (CHSE-214) (kindly provided by Bjørn Krossøy, Vaxxinova Norway AS) were grown in growth medium [L15 (PanBiotech) with 1% L-glutamine and 8% fetal bovine serum (FBS; HyClone)] at 20°C and passaged weekly at 2.5 × 106 cells per 75- cm2 flask. CHSE-214 cells were single- cell– cloned through limited dilution by plating four cells per well in 96-well plates. Single colonies were transferred and expanded. Single- cell clone (Sc) 11 was used for transfections and included as negative control (NC) in later experiments.
IPNV (supplied by Vaxxinova Norway AS) was propagated on CHSE-214 cell culture at 18°. The cells were grown to about 80% confluence prior to infection, and IPNV was harvested at extensive cytopathic effect (CPE) after 2 days. The infected cell layer was freeze-thawed once before centrifugation at 5,000xg for 10 min to remove debris. The remaining supernatant was titrated by end-point titration, calculated by the 50% tissue culture infective dose (TCID50) method (30), and frozen in 1 ml of aliquots at −80°C until use in infection experiments.
SAV3 was provided by Øystein Evensen, Norwegian University of Life Sciences, and propagated on CHH-1 cell culture as described by 31. The supernatant was titrated on CHH-1 cells and frozen in 1 ml of aliquots at −80°C until use in infection experiments.
2.2 CRISPR-Cas editing
2.2.1 Bioinformatics
We used genomic data from Atlantic salmon (Salmo salar) and rainbow trout (Oncorhynchus mykiss) to design sequencing primers on highly conserved regions between both species to sequence parts of the mavs, irf3, and irf7-1 genes in CHSE-214 cells. These sequences were blasted [National Center for Biotechnology Information (NCBI)] against the Chinook salmon (Oncorhynchus tshawytscha) genome to verify the genes and obtain the gene IDs: mavs (112236223), irf3 (112235560), and irf7-1 (112252506).
We designed sgRNAs using either the Benching Guide RNA design tool or the Geneious CRISPR gRNA Design Software. sgRNAs were designed in batches of three with high predicted efficiency, low off-target effects, and homology with Atlantic salmon as criteria. Synthego produced the modified sgRNA (2′-O-Methyl at first three and last three bases and phosphorothioate bonds between the first three and last two bases). We investigated possible duplicate genes in chinook salmon by blasting (megaBLAST) the coding sequences of the targeted genes against the NCBI nucleotide collection for chinook salmon (assembly: Otsh_v2.0). Alignment and generation of phylogenetic trees was performed using Clustal Omega. The NCBI conserved domain search and TransMembrane prediction using Hidden Markov Models (TMHMM) tools predicted conserved and transmembrane domains respectively.
2.2.2 Nucleofection of RNPs
The CHSE-214 wild-type (Wt) Sc 11 (NC) was nucleofected with CRISPR RNPs for genome editing using the 4D Nucleofector (Lonza). NC cells were passaged 1 day before nucleofection and seeded at 4 × 106 cells per 75 -cm2 flask. RNP solution was prepared by mixing 1 μg of sgRNA and 2 μg of recombinant Cas9 (EnGen® Spy Cas9 NLS, New England Biolabs) with nucleofector solution SE (Lonza) to a final volume of 10 μl, followed by 10 min of incubation at room temperature for complexing. NC cells (4 × 105) were trypsinized, centrifuged at 300xg for 10 min, resuspended in 10 μl of nucleofector solution SE, mixed with the RNP solution, and added to a well in a 16-well Nucleocuvette strip. After nucleofection with program DS-137, the sample was incubated with 80 μl of OptiMEM (Gibco) for 10 min at room temperature and seeded in 12-well plates in growth medium. Transfection controls with pmaxGFP (Lonza) were evaluated after 2 days of incubation at 20°C.
2.2.3 Editing efficiency and KO determination
Samples from transfected cells were lysed in a QuickExtract DNA extraction solution (LGC Biosearch) according to the manufacturer’s instructions, and purified PCR products of the target region were sequenced (Microsynth Seqlab). Sequencing chromatograms with superimposed peaks were analyzed using the online tool Tracking of Indels by Decomposition (TIDE) (32) for editing efficiency and indels present. Transfected pools with highest editing efficiency per target gene were used for single -cell cloning, and the Scs were evaluated by sequencing as described above. Scs with frameshift mutations in both targeted alleles were sampled and re-sequenced twice to verify the mutations. We used Geneious prime to check whether the mutations would result in premature stop codons in the open reading frame (ORF) and evaluated whether this disruption would lead to a KO of the targeted gene.
2.3 Poly I:C transfection and qPCR
NC and KO cells were seeded in 24- well plates with 2.5 × 105 cells per well in 1 ml of growth medium with crosswise movement to spread the cells equally in the wells. One day later, cells were transfected with high– molecular weight (HMW) poly I:C by adding 100 µl of minimum essential media (MEM; Gibco), 1.2 μl of poly I:C (stock at 1 mg/ml, InvivoGen), and 3 μl of TransIT (Mirus) per well. RNA was isolated using the RNeasy kit (Qiagen) according to the manufacturer’s instructions 1 and 2 days after poly I:C transfection. Subsequently, cDNA was synthesized using the QuantiTect RT kit (Qiagen) according to the manufacturer’s instructions with 500 ng of RNA per 20 µl of reaction. cDNA was diluted 1:5 for use in qPCR reactions containing 6 µl of cDNA, 7.5 µl of 2× Fast SYBR® Green Master Mix (Applied Biosystems), and 0.8 µl of each primer (5 μM stock). Taqman PCR reactions consisted of 5 µl of cDNA, 7.5 µl of 2x TaqMan universal master mix (Applied Biosystems), 0.18 µl of each primer (100 µM), 0.05 µl of probe (100 µM, 6FAM-BHQ1), and 2.09 µl of water. Table 1 lists all primers used. The qPCR reactions were performed in 384-well plates under the following conditions: 95°C for 5 min and 45 cycles of 95°C for 5 s, 60°C for 15 s, and 72°C for 15 s (QuantStudio 6, Applied Biosystems). A melt curve stage was included to confirm the absence of nonspecific products in SYBR Green PCR reactions, primers and their references are presented in Table 1, and the efficiencies of tested primer pairs were between 90% and 110%. Relative expression was calculated using the delta Ct method with elf2a as a reference gene (37).
2.4 Luciferase assay
NC and KO cells were seeded in 96- well plates with 1.6 × 104 cells per well in 100 µl of growth medium with 8% FBS and incubated for 1 day. Then, the cells were transiently transfected by replacing medium with neat L15 and adding 10 µl of transfection mix containing 100 ng of promoter reporter (firefly luciferase) construct, 10 ng of Renilla luciferase vector (Promega- Madison WI), and 0.3 µl of TransIT in MEM per well. Atlantic salmon mx2, ifit5, and ifna1 promoter constructs (38) were investigated, whereas pGL3-basic was included as empty vector control. The promoters for mx2 (35) and interferon induced protein with tetratricopeptide repeats 5 (ifit5) (21) were synthesized as GeneArt String fragments by ThermoFisher and cloned into HindIII-linearized pGL3 Basic using the Infusion HD cloning kit (Takara). One day after transfection, medium was replaced with 100 µl of neat L15 again, and transfection medium (10 µl of MEM with 0.3 µl of TransIT and 200 ng of stimulant) for HMW poly I:C or low –molecular weight (LMW) poly I:C was added. The medium was replaced with growth medium (8% FBS) 5 h post- transfection. All samples for the luciferase assays were set up in quadruplicates, and the constitutively expressing Renilla luciferase construct provided an internal control value to which the expression of the experimental firefly luciferase was normalized. Two days after transfection with stimulants, luciferase production was measured using the Dual-Luciferase Reporter Assay System (Promega, Madsion, WI) according to the manufacturer’s instructions. The results are presented as fold change in relative light units (RLU) by dividing the RLU of the stimulated samples by the average RLU of the corresponding non-stimulated samples.
2.5 Infections and CPE
2.5.1 SAV3
NC and KO cells were seeded in 24 -well plates with 2.0 × 105 cells per well in 1 ml of growth medium 1 day before infection. For each cell line, the number of cells per well was counted to calculate the amount of virus to be added to achieve the planned multiplicity of infection (MOI), and growth medium was replaced with 1 ml of infection medium with an MOI of 1 before incubation at 15°C. Supernatant for viral RNA qPCR and titration was sampled at 2 and 6 days post- infection (dpi). At 6 dpi, pictures were taken from selected wells to compare CPE. Cells were lysed for RNA extraction and expression analysis as described in 2.3 at 2 and 6 dpi.
2.5.2 IPNV
KO cells were seeded in 24- well plates with 1.25 × 105 cells per well in 1 ml of infection medium (L15 with 1% L-glutamine and 2% FBS) 1 day before infection. For each cell line, the number of cells per well was counted to calculate the amount of virus to be added to achieve an MOI of 0.01, and IPNV was added to the wells before incubation at 18°C. At 2 dpi, supernatant for titration was sampled, pictures were taken from selected wells, and the cell layer was sampled. Cell layers were either fixed with 4% formaldehyde for crystal violet staining or lysed for RNA extraction and qPCR as described in 2.3. Expression analysis was performed at 1 and 2 days after infection on infected cells that were originally seeded at 2.5 × 105 cells per well. Formaldehyde-fixed cells were washed with phosphate- buffered saline (PBS) and stained with 1% crystal violet in PBS to quantify CPE. After 10 min of incubation at room temperature, the wells were carefully washed three times with H2O and dried. Non-specific staining was removed from well walls, and the remaining crystal violet eluted by shaking for 5 min with 200 µl of elution buffer (50% ethanol with 0.05 M sodium citrate and 0.05 M citric acid). The OD590 was determined using a Sunrise absorbance reader (Tecan).
2.6 Titrations
IPNV supernatant samples were titrated by end-point titration on CHSE-214 cells with eight wells per dilution, and CPE was scored after 14 days. SAV3 supernatant samples were titrated on MAVS KO CHSE-214 cells (described in Section 3.1) with eight wells per dilution. These cells showed clear CPE after SAV3 infection, and CPE was used to score the titration 14 dpi after we determined that this scoring method was as reliable as staining with anti-SAV antibodies according to Strandskog et al. (39) (unpublished results). TCID50/ml was calculated following the method of Reed and Muench (30).
2.7 Viral RNA: cDNA and qPCR
The viral RNA from SAV3- infected NC and KO cell supernatants was isolated using the QIAamp Viral RNA mini kit (Qiagen) according to the manufacturer’s instructions, with the exception that no carrier RNA was used. Subsequently, the QuantiTect RT kit (Qiagen) was used for cDNA synthesis according to the manufacturer’s instructions with 12 µl of isolated RNA per reaction. qPCR reactions contained 6 µl of cDNA (1:5 diluted), 7.5 µl of 2× Fast SYBR® Green Master Mix (Applied Biosystems), and 0.8 µl of each primer (5 μM stock). The following conditions were used for the amplification: 95°C for 5 min and 45 cycles of 95°C for 5 s, 60°C for 15 s, and 72°C for 15 s (7500 Fast Real-Time PCR System, Applied Biosystems). Melting curves were used to confirm the absence of nonspecific products, and the used primers have previously been tested (see Table 1 for references). A dilution series of an amplicon with known concentration was included to generate a standard curve for calculation of DNA copies per sample.
2.8 Statistics
We performed statistical tests in GraphPad Prism version 8.4.1. Outliers were removed using the ROUT test with Q = 1%. Welch’s ANOVA with Dunnett’s T3 multiple comparisons test (α = 0.05) was performed to find significant differences between the NC and the KOs. The data for IPNV titrations were not normally distributed, and an ANOVA (Kruskal–Wallis) with Dunn’s multiple comparisons test was used instead. One-sample t-tests against the theoretical mean of 1 (no change) were used to evaluate gene induction in poly I:C– stimulated NC.
3 Results
3.1 Efficient CRISPR-Cas editing in CHSE-214 cells through RNP nucleofection
Because our gene editing protocol involved isolating and infecting Scs from an edited pool, we investigated whether Wt Scs from the CHSE-214 cell line yielded different IPNV titers after infection. Supplementary Figure 1 shows that there is a significant difference in IPNV titers between individual clones and the CHSE-214 pool. To eliminate the risk of observing differences between gene-edited cell lines resulting from variation between the original cells in which the gene-edits are introduced, Sc 11 (NC), which had a significantly lower IPNV replication but propagated well, was used for all subsequent gene editing experiments and included as a NC in later experiments.
Gene editing efficiencies were quite variable between the sgRNAs tested. The final sgRNAs resulted in editing efficiencies of 76%, 23%, and 73% for mavs, irf3, and irf7-1, respectively, based on decomposition of sequencing chromatograms by the TIDE webtool. We isolated Scs from these edited NC pools and picked one clone per gene edit for further analysis. The indels in all selected Scs for IRF3 and IRF7-1 KOs led to premature stop codons within the first 50 amino acids, which is within the DNA binding domain, visualized in Supplementary Figure 2. The mutations in the alleles of the MAVS KO led to premature stop codons after 124 and 125 amino acids, respectively (Supplementary Table 1). The CARD domain would be mostly intact in these truncated proteins, but the C terminal transmembrane domain that is also essential for MAVS function in both human (14) and Atlantic salmon (15) is missing. In conclusion, the verified mutations in the presented Scs lead to KO of the genes of interest.
A megaBLAST search of the targeted coding sequence revealed no duplicate genes for irf3 and irf7-1 in the chinook salmon genome (assembly Otsh_v2.0) but identified a possible duplicate mavs gene. The work of another group has identified a duplicate gene of irf7-1, which is not yet annotated (personal communication, Dr. B. Collet). The mavs duplicate gene (Gene ID: 112237596) has a 67% homology on the RNA level with our targeted gene (47% on protein level) and is not targeted by the used sgRNAs. The putative duplicate mavs gene contains a conserved death domain, which could indicate a CARD domain, and an N-terminal transmembrane domain and could therefore have a MAVS-like function (see Supplementary Material for more details).
Off-target analysis with CCTop did not yield any possible off-target effects in other genes with less than three mismatches. Furthermore, a BLAST search of the sgRNA sequences on NCBI only returned high identity results in other species or in the targeted genes in chinook salmon. Thus, the chance of off-target effects seemed to be quite low, also considering the temporary activity of the Cas9 protein due to delivery in RNP format.
3.2 MAVS and IRF3 KOs inhibit induction of ISG expression
To investigate the effect of the KOs on PRR signaling, we evaluated the ability of KO cells to express IFNs and ISGs upon intracellular poly I:C stimulation after 24 and 48 h (Figure 1). The expression of mx and ifit5 genes, both ISGs with antiviral activity, was successfully induced at both time points after poly I:C transfection in the Wt NC (Figure 1). The IRF7-1 KO showed a similar induction as the Wt cells at 24 h, which was reduced at 48 h for the ISGs, whereas the ifna expression was increased. In stark contrast, for both the IRF3 and IRF7-1/3 KOs, this induction was completely abolished at both time points. In the MAVS KO, the induction was reduced, although not as extreme as the IRF3 and IRF7-1/3 KOs at 48 h. A similar trend was observed for ifna, where the expression was induced in NC and the IRF7-1 KO, (but) abolished in the IRF3 and IRF7-1/3 KOs, whereas the MAVS KO showed reduced ifna transcript levels. In contrast to mx and ifit5, ifna induction in IRF7-1 KO at 48 h was higher than that in the NC. We did not observe a significantinduction of ifnc at these time points, although the MAVS, IRF3, and IRF7-1/3 KOs had a slightly lower induction at 48 h (Figure 1). These results indicated a disruption of PRR signaling in MAVS and IRF3 KO cells.
Figure 1 Expression of IFNs and ISGs in MAVS, IRF3, and IRF7-1 KO CHSE-214 cells 24 and 48 h after HMW poly I:C transfection measured by quantitative PCR. The graphs show the fold change of expression compared to non– poly I:C– transfected controls and normalized against elf2a. Values of the triplicates visualized as dots, and error bars indicate 95% confidence interval. (*) Statistically significantly different from the wild-type NC.
3.3 Reduced ISG promoter activation in MAVS and IRF3 KO cells after PRR stimulation
To confirm the disruption of PRR signaling by MAVS and IRF3 KOs as evidenced by the expression results, we investigated ISG promoter activation upon intracellular poly I:C stimulation of the KO cells (Figure 2). All investigated promoters (ifit5, mx2, and ifna1) showed a clear activation in NC and the IRF7-1 KO 48 h after both HMW and LMW poly I:C transfection compared to non-stimulated controls (Figure 2). In the IRF3 and IRF7-1/3 KOs, this activation was almost completely absent, whereas the MAVS KO resulted in a reduced activation. Both the empty vector (pGL3-basic) and non-stimulated controls showed very low background activation (Supplementary Figure 3A), and a second experiment confirmed the inhibition of activation in the MAVS, IRF3, and IRF7-1/3 KOs (Supplementary Figure 3B). Together, these data confirm that the MAVS and IRF3 KOs inhibit IFN responses after intracellular poly I:C stimulation of the cells, whereas the IRF7-1 KO does not have a strong inhibitory effect on the IFN response.
Figure 2 ifit5, mx2, and ifna1 promoter activation in MAVS, IRF3, and IRF7-1 KO CHSE-214 cells 48 h after HMW or LWM poly I:C transfection. The graphs show the fold change of RLU (normalized against co-transfected Renilla plasmid) compared to non– poly I:C– transfected controls. Values of the quadruplicates visualized as dots, and error bars indicate 95% confidence interval. (*) Statistically significantly different from the wild-type NC. These data represent one of three repeated experiments which gave reproducible results.
3.4 Increased virus titers and CPE after SAV3 infection of MAVS and IRF3 KO cells
After having investigated the impact on the different KOs on antiviral response assays, we aimed to understand their effects on virus replication. We therefore tested viral growth for the enveloped ssRNA virus SAV3 and the naked dsRNA IPNV to assess the impact of the different KOs on their growth. Both viruses not only are sensitive to the antiviral effects of type I IFNs but also possess strategies to counteract/modulate IFN activity (16)). We first infected the MAVS, IRF3, and IRF7-1 KOs with SAV3 to investigate whether and how the disruption in the PRR signaling pathway would affect virus growth. Some CPE was present in NC at 6 dpi (Figure 3A), which was in line with previous observations that SAV3 infection usually results in minor CPE in CHSE-214 cells. The IRF7-1 KO cell layer similarly exhibited some CPE (Figure 3B). In contrast, SAV3 infection resulted in massive CPE in the MAVS, IRF3, and IRF7-1/3 KOs, which suggests an increased SAV3 replication (Figures 3C–E). The appearance of clear CPE on MAVS and IRF3 KOs allowed for titration on these cells without staining with antibodies as described by Strandskog et al. (39). Visual CPE scoring of titrations on MAVS KO cells compared very well with scoring based on antibody staining (data not shown). As a result, we used the MAVS KO cells to determine virus titers.
Figure 3 Salmonid alphavirus 3 (SAV3) growth on KO CHSE-214 cells. (A–E) Representative pictures of CPE on SAV3 -infected cells 6 dpi: NC (A), IRF7-1 KO (B), IRF3 KO (C), IRF7-1/3 KO (D), and MAVS KO (E). (F) SAV3 titers in supernatants of infected KO cells relative to the used inoculum at 6 dpi. (G) SAV3 titers in supernatants of infected KO cells with the same inoculum at 6 dpi. (H) SAV3 nsp1 transcript levels in supernatant of infected KO cells relative to the used inoculum at 6 dpi. Presented as # DNA copies (SAV3 nsp1) in 6 µl of cDNA from 12 µl of RNA isolate divided by the viral titer of the inoculum. Values of triplicates from three (viral titer F), one (viral titer G), or two (viral RNA H) experiments visualized as dots, and error bars indicate 95% confidence interval. (*) Statistically significantly different from the wild-type NC.
SAV3 titers in supernatant of the infected IRF7-1 KO cells were slightly (non-significantly) reduced compared to NC (Figure 3F), but this could be due to the apparent difference in confluence leading to less cells being available for production of viral particles. From three separate experiments, we found a clear increase in viral titers in the MAVS and IRF3 KOs in (Figure 3F). An additional experiment with just these KOs further confirmed this (Figure 3G). Viral RNA in the supernatant as determined by qPCR mimics the trend seen for the titration results: an increase in the MAVS and IRF3 KOs, a slight reduction in the IRF7-1 KO, and IRF7-1/3 between IRF3 and IRF7-1 results (Figure 3H).
Because the MAVS and IRF3 KOs had a clear effect on the expression of ISGs after intracellular poly I:C stimulation, we investigated whether a similar effect could be observed after SAV3 infection. To this end, we measured the expression of the same genes at 2 and 6 dpi (Figure 4). Mx, ifit5, and ifna genes were induced in NC and the IRF7-1 KO (Figure 4). In contrast, IRF3 and IRF7-1/3 KOs showed no elevated levels of these genes after infection, and, for the MAVS KO, induction was reduced compared to Wt (Figure 4). These observations were comparable to the poly I:C stimulation results (Figure 1). The later time point (6 dpi) showed a general slight increase in induction of mx, ifit5, and both measured IFNs in NC, the MAVS KO, and the IRF7-1 KO compared to 2 dpi. ifnc was not induced at the early time point, as was seen for poly I:C, but showed upregulation (albeit not significant) in NC, the MAVS KO, and the IRF7-1 KO at the later time point (6 dpi). This was in contrast to the poly I:C stimulated cells where we did not observe a clear induction (Figure 1). This increase of ifnc after SAV infection was absent in the IRF3 and IRF7-1/3 KOs, similar to the other investigated genes.
Figure 4 Expression of type I IFN and selected ISGs in MAVS, IRF3, and IRF7-1 KO CHSE-214 cells determined by quantitative PCR, 2 or 6 dpi after Salmonid alphavirus 3 (SAV3) infection. The graphs show the fold change of expression compared to non-infected controls and normalized against elf2a. Values of the triplicates visualized as dots, and error bars indicate 95% confidence interval. (*) Statistically significantly different from the wild-type NC.
3.5 Reduced IPNV titers in MAVS and IRF3 KO cells
To investigate whether the increased viral titers was a common feature on viral replication for MAVS and IRF3 KO cells, we infected the cells with another virus, IPNV. We evaluated IPNV replication on the KO clones by titrating the supernatant harvested at 2 dpi from infected KO cells. Inactivation of IRF7-1 did not lead to a significant difference, although viral titers were slightly lower (Figure 5). Interestingly and in contrast to the increase in titers seen for SAV3, IPNV titers were significantly reduced in MAVS, IRF3, and IRF7-1/3 KO cells compared to Wt controls (Figure 5). Determination of CPE through crystal violet staining showed a significantly reduced CPE for the IRF3 KO, but not for the other clones (Supplementary Figure 4). No loss of cells due to CPE was detectable in the MAVS KO cells or the corresponding NC at the time of harvest, so these results were not presented. In summary, disrupting PRR signaling by inactivation of IRF3 or MAVS reduced IPNV replication.
Figure 5 Infectious pancreatic necrosis virus (IPNV) replication in MAVS, IRF3, and IRF7-1 KO CHSE-214 cells. IPNV titers in supernatants of infected KO cells 2 dpi. Values of triplicates from three experiments visualized as dots, and error bars indicate 95% confidence interval. (*) Statistically significantly different from the wild-type NC.
We evaluated ISG and IFN transcript levels in IPNV -infected NC and KO cells to investigate the observed differences in effect on viral growth with SAV3. Induction of ifit5 and mx was very low after IPNV infection (Figure 6) when compared to the induction after SAV3 infection (Figure 4) but seems to be present, nonetheless. In particular, after 48 h, we observed an induction in the Wt NC, whereas this was reduced in the MAVS and IRF3 KOs. The induction of ifit5 and mx in IRF7-1 KO was closer to the NC, as generally observed in our other experiments. ifna was slightly, although not significantly, induced after 48 h, which was mainly noticeable due to the apparent reduced induction in the MAVS and IRF3 KOs (Figure 6). Interestingly, ifnc was slightly induced in the NC and IRF7-1 KO with a smaller induction in the MAVS KO, as seen after SAV3 infection.
Figure 6 Expression in MAVS, IRF3, and IRF7-1 KO CHSE-214 cells 1 or 2 dpi after infectious pancreatic necrosis virus (IPNV) infection. The graphs show the fold change of expression compared to non-infected controls and normalized against elf2a. Values of the triplicates visualized as dots, and error bars indicate 95% confidence interval. These data represent one of the two repeated experiments that gave reproducible results.
4 Discussion
4.1 Efficient CRISPR-Cas editing in CHSE-214 cells using nucleofection of RNPs
The type I IFN response is the immune system’s early weapon against viral infections. It can be triggered in many cell types by detection of viral nucleic acids through the activation of different PRRs (13). RLRs detect dsRNA in the cytosol, and the adapter protein MAVS is essential for their signaling. IRF3 and IRF7 are master transcription factors for the type I IFN response in mammalian species and are also known to be important regulators of IFN responses in teleosts (40). In this study, we employed a functional genomics approach to elucidate the roles of salmon MAVS, IRF3, and IRF7-1 in the antiviral responses against viruses in the CHSE-214 cell line. We successfully generated KO clones for MAVS, IRF3, and IRF7-1, as well as a double KO for IRF7-1/3. This was possible due to the use of nucleofection to deliver RNPs for CRISPR-Cas editing that enabled us to obtain high editing efficiency. Our results were comparable with the editing efficiencies that (27) obtained in salmonid cells using another optimized RNP protocol (slightly over 70%).
Initial testing on IPNV infection of IRF7-1 edited Scs generated from the original CHSE-214 cell line showed significant differences in viral titer between several obtained IRF7-1 KO clones and between a Wt clone and the original CHSE-214 cell line (results not shown). This could have been a result of off-target edits or differences between the single parent cells. However, the chance of all tested clones having off-target edits influencing IPNV replication is probably not that high. We confirmed that different Wt Scs can lead to differences in IPNV replication and used one of these clones to develop KO clones from the same parental clone to reduce any possible effect from different parental cells. This heterogenicity of Wt cell lines has been confirmed in a mammalian setting, and the use of monoclonal cells for gene editing was found to lead to less variability (41).
4.2 MAVS and IRF3 KO inhibit PRR signaling
The MAVS, IRF3, and IRF7-1 KOs led to different effects on IFN and ISG induction after intracellular poly I:C stimulation: full inhibition in the IRF3 KO clones, reduced inhibition in the MAVS KO clone, and induction that is most comparable to the Wt in the IRF7-1 KO. The results from both the expression and promoter activation experiments indicate that IRF3, and not IRF7-1, is an essential transcription factor for IFN type I induction in CHSE-214 cells. The clear difference of KO effects between IRF3 and IRF7-1 is notable, especially because both these transcription factors contribute to PRR signaling and show synergetic activity in Atlantic salmon (40). Nonetheless, IRF3 was found to be a stronger activator of the ifna1 promoter in Atlantic salmon TO cells than IRF7-1 (40). The identification of an additional copy of IRF7 in Chinook salmon, as earlier found in Atlantic salmon (personal communication, Dr. B. Collet), could explain the lack of phenotypical change in our KO. Although the role of the second IRF7 gene remains to be elucidated, our results suggest that the herein inactivated IRF7-1 has a less prominent role than the other duplicate. In mammals, high basal expression of IRF7 is largely restricted to immune cells, such as B cells and plasmacytoid dendritic cells (42). Because CHSE-214 cells are non-lymphocyte lineage cells, they would not express IRF7, and we would not expect a KO of IRF7 to have an effect on these cells. However, our results show comparable basal expression of irf3 and irf7 transcripts in the CHSE-cells (Supplementary Figure 5), which is not expected according to the mammalian paradigm. We did observe higher ifr3 mRNA levels compared to irf7 after stimulation (Supplementary Figure 6), which suggests that IRF3 has a more prominent role than IRF7. Our results fit in a model where IRF3 is essential in initiating IFN expression, whereas IRF7 enhances these responses and is more tightly regulated (43, 44).
A less pronounced difference in KO effect was found between MAVS and IRF3. The results of expression induction and promoter activation for multiple genes after intracellular poly I:C stimulation showed a complete inhibition of induction in the IRF3 KO clones, whereas the MAVS KO clone at times only led to a partial inhibition. This difference could be due to the PRR pathways that these genes have a function in. MAVS is a major component of the RLR pathway but has no major function in other PRR pathways (11). IRF3, in contrast, is involved in signaling of several PRRs (13, 45). Intracellular poly I:C stimulates not only RLRs but also certain NLRs and TLRs (13). The IRF3 KO would affect all these pathways, whereas the MAVS KO only affects the RLR pathway. A second explanation for the difference in effect between the MAVS and IRF3 KOs would be the presence of a duplicate mavs gene in salmonids. We identified a putative duplicate mavs gene with 67% homology on mRNA level (see Supplementary Material). Domain predictions and synteny in Atlantic salmon, rainbow trout, and chinook salmon indicate that this gene probably arose from mavs after a duplication event and could possess MAVS like function. The low level of homology on protein level (47%), however, generates doubts on how much of the original function is kept. If some of the original function is retained in the duplicate gene, then this could account for the observed incomplete inhibition of PRR signaling, because the used sgRNAs did not target the duplicate gene. Further investigation could elucidate whether the duplicate mavs gene has a function and how similar this function is to the original mavs gene.
Activation of the ifna1 promoter led to much lower RLU values (Supplementary Figure 3) compared to the other used promoter constructs. These values are comparable to the values of an earlier publication using the same construct (38). This suggests that the ifna1 promoter is activated at much lower levels than the ISG promoters from mx2 and ifit5 after poly I:C stimulation. IFNs are signaling cytokines whose signal is amplified in receiving cells and that need to be carefully regulated to avoid extreme immune responses (46). In contrast, Mx2 and IFIT5 have a direct anti-viral activity for which they need to be expressed at sufficient levels. It is thus logical that the strongly regulated IFN promoter is less activated as the mx2 and ifit5 promoters, which is also in line with our expression results.
The early induction of ifna, ifit5, and mx genes and the missing induction of ifnc after stimulation suggests that IFNa, and not IFNc, is responsible for initial ISG transcription in CHSE-214 cells in response to poly I:C stimulation. Because chinook salmon, like other salmonids, possesses multiple IFN genes and our primers amplify mRNA of several genes based on our bioinformatic analyses (unpublished results), additional IFN genes could be involved in the IFN responses initiated by poly I:C transfection. A complete IFN gene expression analysis would be an entire investigation on its own. Still, the late induction of ifnc by SAV3 at 6 dpi and the minor induction after IPNV infection indicates a differential expression pattern of these IFN genes.
4.3 PRR signaling disruption increases SAV3 replication in CHSE-214 cells while decreasing IPNV replication
Our results clearly show that disrupting PRR signaling positively affects SAV3 replication in CHSE-214 cells, as illustrated by the increased CPE, viral titers, and viral RNA. In addition, inactivation of MAVS and IRF3 abolished the activation of antiviral genes such as ifn, mx, and ifit5 that we observed in SAV3- infected Wt cells. Still, the effect of MAVS and IRF3 KOs on viral replication seems to be dependent on the combination of virus and cell type. Our results show a different effect of MAVS and IRF3 KOs on the replication of two different viruses, SAV3 and IPNV, on the same cell line. The mammalian literature contains more examples of diverging effects of MAVS KO on viral replication where different viruses or different cell types/tissues have been investigated (47, 48).
One unexpected finding is that SAV3 replicated equally well in the MAVS and IRF3 KO clones, whereas the disruptive effect of the IRF3 KO on PRR signaling was more pronounced. It is possible that, after IFN responses have been reduced below a critical level, the viral replication is not affected by any further reduction. This would mean that SAV3 already replicates at peak efficiency after partial inhibition of IFN responses and that complete inhibition is not necessary for elevated SAV3 replication. Finally, a difference in replication kinetics between the KOs could result in an over- or underestimation of the titers during a comparison at one time point. We showed a difference in dynamics, but there might still be a comparable final titer if later time points would be analyzed.
The fact that inactivation of PRR signaling did not increase IPNV titers fits well with a model wherein IPNV can inhibit PRR signaling in vitro. This model is based on several observations. Although IFN responses were found to be induced by IPNV in tissues of infected Atlantic salmon (49), primary macrophages (17), and RTG-2 cells (50), it is usually not induced after IPNV infection in the cell lines CHSE-214, TO, and SHK-1 (10, 18, 19, 51). It is interesting that we observed a very minor induction of ifna, mx, and ifit5 expression after in vitro IPNV infection, in contrast to these earlier findings. This induction was mainly visible due to comparison with the non-induced MAVS and IRF3 KO clones, which could be why it has not been registered earlier. In addition, it has been demonstrated that several IPNV proteins interact with and inhibit multiple components taking part in IFN and ISG induction with a profound effect on MAVS-mediated activation of the ifna1 promoter (16, 18). Overall, the rapid and extensive CPE that IPNV causes on CHSE-214 cells suggests that antiviral responses do not strongly inhibit the viral infection in these cells or that the viral replication is fast enough to overwhelm the responses. Our findings that KO in PRR signaling does not increase IPNV replication in CHSE-214 cells further strengthen this model. The interaction of IPNV proteins with PRR signaling components could offer an explanation why IPNV replication decreased in the MAVS and IRF3 KOs. During the evolution of IPNV to combat the antiviral responses, the virus could have become partially dependent on these interactions, in addition to just inhibiting the antiviral responses. This dependency on interactions with host components would not be unexpected considering virus–host co-evolution and can explain the reduced viral replication after our KOs of host PRR signaling.
Our results clearly indicate that MAVS and IRF3 are interesting targets to improve SAV3 growth on the CHSE-214 cells. Using the Wt NC for gene editing, we managed to increase the production some two to three times. Although this is a modest increase, the optimal timing of harvest could be different for the differently edited clones. Finding the ideal time point of harvest could increase the obtained SAV3 titers, but higher titers should also be achievable by selecting other Sc from CHSE-214 for gene editing, possibly leading to a new efficient production substrate for SAV3. The clear CPE on MAVS and IRF3 KO CHSE-214 clones also made it possible to use visual scoring to read-out titrations on these cells. Previously, titrations of SAV3 on CHSE-214 cells would be read out after staining with anti-SAV antibodies (39), which takes more time and requires expensive antibodies. The use of MAVS or IRF3 KO clones for titration of SAV3 samples thus reduces costs for experiments that would otherwise titrate on the CHSE-214 cell line.
We have successfully shown that viral replication in CHSE-214 cells is affected by disrupting PRR signaling with CRISPR-Cas –induced MAVS or IRF3 KOs. KO of IRF7-1 showed no or minor effects on PRR signaling after internal poly I:C stimulation or viral infections. In contrast, KOs of IRF3 completely blocked the induction of type I IFNs and IFN-induced ISGs, demonstrating the vital importance of IRF3 for IFN induction in non-lymphoid salmonid cells. These responses were also reduced in MAVS KO clones, suggesting that RIG-I signaling is essential in CHSE-214 cells. However, because IFN-induction was not totally abolished in the MAVS KO, other PRR signaling pathways are likely involved in dsRNA- mediated signaling in these cells. The effect of PRR signaling disruption was pathogen dependent, with SAV3 replicating better in MAVS and IRF3 KO clones, but IPNV titers being reduced. Future research could focus on the effect of KO of MAVS and IRF3 on the replication of additional viruses, infectious salmon anemia virus, for example, and in other cell lines. This research could lead to enhanced substrates to produce salmonid viruses and thus lower costs for research and vaccine production. In addition, the edited cell lines might even support replication of viruses that cannot be cultivated on currently available cell lines. Finally, deeper insight in the PRR pathways affecting different viruses could be used to generate leads for new adjuvants in the form of PRR ligands for viral vaccines.
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Author contributions
YW, JK, and JJ conceived and designed research. YW, AA, HN, and LG-T performed research and analyzed data. AA helped design experiments. YW and JJ wrote the paper. All authors reviewed and approved the manuscript.
Funding
The publication charges for this article have been funded by a grant from the publication fund of UiT, The Artic University of Norway.
Acknowledgments
We would like to acknowledge Guro Strandskog for preparing the initial SAV inoculum and Professor Ole Morten Seternes and Dr. Maryam Imam for their contribution to establishing the Atlantic salmon mx2 and ifit5 promoter constructs. Furthermore, we would like to thank the Vaxxinova Münster team for their support and assistance with cell culture during absence. Finally, we greatly appreciate the graphical support of Rod Wolstenholme from the UiT graphical services.
Conflict of interest
YvW, AA, and JK are employees of the company Vaxxinova Research & Development GmbH that, among others, develops and commercializes vaccines for aquaculture.
The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Most of the research was funded by Vaxxinova Research & Development GmbH. Vaxxinova had an advisory role in the study design and final report.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2023.1214912/full#supplementary-material
Abbreviations
CARD, caspase activation recruitment domain; CPE, cytopathic effect; Dpi, days post- infection; FBS, fetal bovine serum; HMW, high molecular weight; IFN, interferon; IPNV, infectious necrotic pancreas virus; IRF, interferon regulatory factor; ISG, interferon-stimulated gene; KO, knockout; LMW, low molecular weight; MAVS, mitochondrial antiviral-signaling protein; MEM, minimum essential media; MOI, mode of infection; NC, negative control cells: single -cell clone 11; NCBI, National Center for Biotechnology Information; NLR, NOD-like receptors; PRR, pattern recognition receptor; RLR, RIG-I–like receptors; RLU, relative light units; RNP, ribonucleoprotein; SAV, Salmon alphavirus; Sc, single-cell clone; TCID, tissue culture infectious dose; TLR, Toll-like receptor; Wt, wild type.
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Keywords: Salmon alphavirus, CHSE-214, CRISPR-Cas, IFN responses, PRR signaling, MAVS, IRF, IPVN
Citation: van der Wal YA, Nordli H, Akandwanaho A, Greiner-Tollersrud L, Kool J and Jørgensen JB (2023) CRISPR-Cas– induced IRF3 and MAVS knockouts in a salmonid cell line disrupt PRR signaling and affect viral replication. Front. Immunol. 14:1214912. doi: 10.3389/fimmu.2023.1214912
Received: 30 April 2023; Accepted: 26 June 2023;
Published: 17 July 2023.
Edited by:
Patricia Pereiro, Spanish National Research Council (CSIC), SpainReviewed by:
Jingguang Wei, South China Agricultural University, ChinaMikolaj Adamek, University of Veterinary Medicine Hannover, Germany
Copyright © 2023 van der Wal, Nordli, Akandwanaho, Greiner-Tollersrud, Kool and Jørgensen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Jorunn B. Jørgensen, jorunn.jorgensen@uit.no