1. Introduction
Senecavirus A (SVA), once called Seneca Valley virus (SVV), is classified into the genus
Senecavirus within the family
Picornaviridae [
1]. The virus has a linear, single-stranded, positive-sense RNA genome, which consists of a 5′ untranslated region (UTR), a large open reading frame (ORF), a 3′ UTR and a poly (A) tail [
1]. The large ORF is first translated into a polyprotein precursor which is subsequently cleaved into a leader protein (L), four structural proteins (VP4, VP2, VP3 and VP1) and seven functional proteins (2A, 2B, 2C, 3A, 3B, 3C and 3D) [
1]. Historically, SVA was serendipitously discovered during cultivating PER.C6 cells in the United States in 2002 [
1]. Although SVA was detected out in Canadian pigs with vesicular diseases as early as 2007 [
2], and a few SVA isolates were occasionally isolated from the U.S. pig populations almost at the same time [
3], it was not until 2014 that the definite association of SVA infection with swine vesicular diseases was confirmed in the Brazilian swine herds [
4]. Since then, the outbreak of SVA-caused swine vesicular diseases has also been reported in many other countries, such as China, Thailand, Colombia, and Vietnam. Clinically, SVA infection mainly causes vesicular lesions around the mouth and hooves of pigs of different ages and acute death of neonatal piglets [
5,
6]. The spread and prevalence of SVA in pig herds has caused considerable economic losses to the global swine industry [
7].
As a newly emerging swine pathogen, the pathogenic mechanisms of SVA and the mechanisms of SVA–host interactions are still not fully clarified and warrant further exploration. Existing studies have demonstrated that SVA has a wide range of tissue tropism for multiple organs in naturally and experimentally infected piglets, which include tonsils, spleen, lungs, liver, and kidneys [
8,
9]. Moreover, it was also demonstrated that SVA has a strikingly broad cell tropism and is able to replicate in various cell lines, including human-derived PER.C6 and human embryonic kidney 293T (HEK293T) cells, porcine-derived swine testicle (ST) and porcine kidney epithelial (PK-15, SK-RST, SK-6 and IBRS-2) cells, as well as baby hamster kidney-21 (BHK-21) cells [
10,
11]. Although all these cell lines are permissive for SVA infection and replication, as an important pathogenic agent for pigs, the porcine-derived cell lines are more suitable for the research of SVA. Currently, the PK-15 cell line derived from swine renal epithelial cells has been widely using in the studies of SVA–host cell interactions involved in viral pathogenesis [
10,
12,
13,
14].
In recent years, mass spectrometry-based multiplexed proteomics in combination with various bioinformatics analyses have become a powerful tool for the large-scale and high-throughput identification, quantitation, and characterization of low-abundance proteins across a variety of biological samples [
15]. Therefore, proteomics plays an important role in profiling proteome dynamic changes, host–pathogen interactions and signaling pathways during diverse pathogen infections [
16,
17], which will provide important clues for a better understanding of their pathogenesis. In the present study, a high-throughput quantitative proteomic approach of tandem mass tags (TMT) labeling coupled with liquid chromatography–tandem mass spectrometry (LC-MS/MS) was used to quantitatively analyze the dynamic changes of differentially expressed proteins (DEPs) in PK-15 cells in response to SVA infection. The identified DEPs were then subjected to comprehensive bioinformatics analyses, whereby we found that many interferon (IFN)-stimulated gene (ISG)-encoded proteins, in particular Mx1 and ISG15, were significantly upregulated in the early and middle stages rather than the late stage of SVA infection. Therefore, we investigated the antiviral activity of Mx1 and ISG15 proteins against SVA.
2. Materials and Methods
2.1. Cells, Virus and Antibodies
PK-15 cells were cultured with Dulbecco’s modified Eagle’s medium (DMEM; Gibco, Carlsbad, CA, USA) supplemented with 10% fetal bovine serum (FBS; Gibco), 100 U/mL penicillin, 100 μg/mL streptomycin, 5 µg/mL transferrin and 5 ng/mL selenium at 37 °C in a humidified incubator (Thermo Fisher Scientific, Waltham, MA, USA) with 5% CO
2. HEK293T cells were cultured in a manner similar to PK-15 cells but without addition of transferrin and selenium. The SVA SDta/2018 strain (GenBank accession No. MN433300.1) was isolated from the vesicular fluids of a diseased piglet by our laboratory [
18]. The monoclonal antibody (mAb) 2F5 (isotype IgG2a/κ) raised against the VP2 protein of SVA was prepared in our laboratory. Mouse anti-β-actin mAb was purchased from Proteintech Group, Inc. (Wuhan, China). Horseradish peroxidase (HRP)-conjugated goat anti-mouse or anti-rabbit IgG secondary antibodies were purchased from Zhongshan Golden Bridge Biotechnology Co., Ltd. (Beijing, China). Mouse anti-Myc and rabbit anti-HA mAbs were purchased from Sigma-Aldrich (St. Louis, MO, USA). Mouse anti-HA mAb was purchased from Medical & Biological Laboratories Co., Ltd. (Nagoya, Japan). Rabbit mAbs against Mx1, ISG15, eukaryotic initiation factor 4E (eIF4E), glucose 6 phosphate dehydrogenase (G6PD), topoisomerase I (TOP1) and phosphoglycerate mutase 1 (PGAM1) proteins were purchased from Abcam (Cambridge, UK). Alexa Fluor 488-conjugated goat anti-rabbit/mouse IgG and Alexa Fluor 594-conjugated goat anti-mouse IgG were purchased from Thermo Fisher Scientific.
2.2. 50% Tissue Culture Infectious Dose (TCID50) Assay
PK-15 cells grown to ~90% confluence in 96-well cell culture plates (Corning, NY, USA) were inoculated with 100 μL/well of 10-fold serial dilutions of SVA. Four repeat wells were inoculated with each diluent. The inocula were removed after a 1-h adsorption at 37 °C, and 200 μL/well of DMEM containing 2% FBS was added to each well. Following an additional 24 h culture, the presence of a visible cytopathic effect (CPE) in the corresponding wells was recorded, and viral titers were calculated using the Reed–Muench method [
19].
2.3. Indirect Immunofluorescence Assay (IFA)
PK-15 cells grown to ~90% confluence in 96-well plates were mock infected or infected with SVA at a multiplicity of infection (MOI) of 5 TCID50 per cell. At 6, 12, 24 and 36 h post-infection (hpi), the cells were fixed with 4% paraformaldehyde for 10 min and then permeabilized with 0.1% Triton X-100 for 15 min at room temperature. After washing thrice with phosphate buffered saline (PBS; pH 7.4), the cells were blocked with 5% bovine serum albumin for 20 min at room temperature and then incubated with the SVA VP2-specific mAb 2F5 (1:1000 dilution) for 12 h at 4 °C. Upon washing with PBS, the cells were incubated with Alexa Fluor 488-conjugated goat anti-mouse IgG (1:1000 dilution) for 1 h at 37 °C. After another washing step, the cells were counterstained with 4′, 6-diamidino-2-phenylindole (DAPI) for 10 min at room temperature. The cells were observed with an Eclipse Ti-U microscope (Nikon Corp., Tokyo, Japan).
2.4. Protein Sample Preparation, Trypsin Digestion and TMT Labeling
PK-15 cells grown to ~90% confluence in 6-well cell culture plates were mock infected or infected with SVA at an MOI of 5 TCID50 per cell. At 12, 24 and 36 hpi, both mock- and SVA-infected cells were collected for protein sample preparation. Specifically, the cells in the six wells of the same plate were harvested and mixed together as a biological replicate. Three independent biological replicates were set for both mock- and SVA-infected cells at the three time points post infection. As a consequence, a total of 18 cell samples (Mock/12h/1, Mock/12h/2, Mock/12h/3, SVA/12h/1, SVA/12h/2, SVA/12h/3, Mock/24h/1, Mock/24h/2, Mock/24h/3, SVA/24h/1, SVA/24h/2, SVA/24h/3, Mock/36h/1, Mock/36h/2, Mock/36h/3, SVA/36h/1, SVA/36h/2, and SVA/36h/3) were obtained. Before cell collection, the cells were rinsed with prechilled PBS to remove the residual serum proteins of FBS, which were then harvested with disposable cell scrapers. After centrifugation (300× g, 10 min), the cell pellets were lysed with 800 µL of lysis buffer consisting of 8 M urea, 1% SDS and protease inhibitor cocktail (Thermo Fisher Scientific, Rockford, IL, USA). The cell lysates were then sonicated for 2 min and further incubated on ice for 30 min. After a 30-min centrifugation (12,000× g, 4 °C), the protein concentration of the resulting supernatants (i.e., protein samples) was determined using a Thermo Fisher Scientific Pierce™ BCA Protein Assay Kit (Rockford, IL, USA). For reduction and alkylation of the protein samples, a final concentration of 100 mM triethylammonium bicarbonate (TEAB) was added to 100 μg of proteins from each sample, followed by adding a final concentration of 10 mM tris (2-carboxyethyl) phosphine and maintaining reaction for 1 h at 37 °C. Afterwards, iodoacetamide was added to the protein solutions at a 40 mM final concentration. Following a 40 min incubation at room temperature under light-free conditions, precooled acetone was added to the protein solutions in a ratio of 6:1 (v/v), which were placed at −20 °C for 4 h to precipitate the proteins. After centrifugation for 20 min at 10,000× g and 4 °C, the precipitates from each protein sample were dissolved with 100 μL of 100 mM TEAB, and then digested with Promega modified trypsin (Madison, WI, USA) in a ratio of 50:1 (m/m) overnight at 37 °C to generate peptides. The tryptic peptides were then labeled using a TMT 10plex Isobaric Label Reagent Set (Thermo Fisher Scientific, Rockford, IL, USA) according to the manufacturer’s protocol. Briefly, the tryptic peptides of the 18 protein samples were divided to two groups. Group 1 included the peptides of SVA/12h/1, Mock/12h/1, SVA/24h/1, Mock/24h/1, Mock/36h/1, SVA/36h/1, SVA/12h/3, SVA/24h/3 and SVA/36h/3, which were labeled with TMT10-126, TMT10-127N, TMT10-127C, TMT10-128N, TMT10-128C, TMT10-129N, TMT10-129C, TMT10-130N, and TMT10-130C, respectively. Group 2 included the peptides of SVA/12h/2, Mock/12h/2, SVA/24h/2, Mock/24h/2, Mock/36h/2, SVA/36h/2, Mock/12h/3, Mock/24h/3 and Mock/36h/3, which were labeled with TMT10-126, TMT10-127N, TMT10-127C, TMT10-128N, TMT10-128C, TMT10-129N, TMT10-129C, TMT10-130N, and TMT10-130C, respectively. Equal amounts of labeled peptides of each sample in the same group were combined into a new microcentrifuge tube, and dried by vacuum centrifugation.
2.5. High-pH Reversed-Phase Liquid Chromatography Fractionation
The labeled peptides were fractionated by a Thermo Fisher Scientific Vanquish Duo UHPLC system coupled with an ACQUITY UPLC BEH C18 Column (300 Å, 1.7 μm, 2.1 mm × 150 mm; Waters Corp., Milford, MA, USA). Briefly, the mixed peptides from each group were reconstituted with mobile phase A (2% acetonitrile; adjusted to pH 10 with 0.05% ammonia), and then loaded onto the column. Peptide fractionation was performed using a linear gradient of mobile phase B (80% acetonitrile; adjusted to pH 10 with 0.05% ammonia): 0−1.9 min, 0% B; 1.9−2 min, 0−5% B; 2−17 min, 5% B; 17−18 min, 5−10% B; 18−35.5 min, 10−30% B; 35.5−38 min, 30−36% B; 38−39 min, 36−42% B; 39−40 min, 42−100% B; 40−44 min, 100% B; 44−45 min, 100−0% B; 45−48 min, 0% B. The column flow was maintained at a flow rate of 200 μL/min and monitored by measuring absorbance at 214 nm. Finally, a total of 10 fractions were obtained by pooling two of the 20 fractions and vacuum dried for subsequent LC-MS/MS analysis.
2.6. LC-MS/MS Analysis
Two micrograms of the labeled peptides from each fraction were dissolved with mobile phase A (2% acetonitrile, 0.1% formic acid), and then loaded onto a C18 Reversed Phase HPLC Column (75 μm × 25 cm; Thermo Fisher Scientific). Chromatographic separation of the peptides was performed on an EASY-nLC 1200 Ultra-performance liquid chromatography (UPLC) system (Thermo Fisher Scientific) at a flow rate of 300 nL/min over a gradient of 5−23% mobile phase B (80% acetonitrile, 0.1% formic acid) for 64 min, 23−29% B for 16 min, 29−38% B for 10 min, 38−48% B for 2 min, 48−100% B for 1 min, and then holding at 100% B for the last 27 min. The separated peptides were then subjected to nanoelectrospray ionization source followed by tandem mass spectrometry in a Q Exactive HF-X Mass Spectrometer (Thermo Fisher Scientific) coupled online to the HPLC. MS was operated in the data-dependent acquisition mode by which the MS1 scans were acquired at a resolution of 60,000, an automatic gain control (AGC) of 3E6, a maximum injection time of 20 ms, and a scan range of 350–1300 mass/charge ratio (m/z). The top 20 most intense parent ions were selected for secondary fragmentation using the higher-energy collisional dissociation method. The MS2 scans were acquired using the following parameters: resolution 45,000; AGC 2E5; maximum injection time 96 ms; fixed first mass 100 m/z; minimum AGC target 8E3; intensity threshold 8.3E4; and dynamic exclusion time 20 s.
2.7. Data Availability
The obtained mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (
http://www.proteomexchange.org, accessed on 26 January 2022) via the Proteomics Identifications (PRIDE) [
20] partner repository with the dataset identifier PXD031260.
2.8. Database Search
The obtained MS/MS raw data were searched against the UniProt Sus scrofa and Senecavirus A database for protein identification and quantification using the Proteome Discoverer Software version 2.4 (Thermo Fisher Scientific, San Jose, CA, USA). The main search parameters were as follows: cysteine alkylation, iodoacetamide; dynamic modification, oxidation (M), acetyl (protein N-terminus), Met-loss (protein N-terminus), Met-loss+Acetyl (protein N-terminus); static modification, carbamidomethyl (C), TMT 6plex (K), TMT 6plex (N-terminus); enzyme name, trypsin (full); maximal missed cleavage sites, 2; precursor mass tolerance, 20 ppm; fragment mass tolerance, 0.02 Da; validation based on, Q-value. The false discovery rate for peptide and protein identifications was set as ≤1%. Protein quantification data with a fold change (FC) > 1.20 or < 0.83 and a p value < 0.05 between two comparable samples were set as the significance threshold for DEPs.
2.9. Bioinformatics Analysis
The identified DEPs were subjected to a series of bioinformatics analyses as previously described [
21]. First, gene ontology (GO) analysis was performed to divide the DEPs into three categories of biological process (BP), cellular component (CC) and molecular function (MF). To further investigate which DEPs were significantly enriched in the GO terms, GO enrichment analysis was conducted using the online Goatools (
https://github.com/tanghaibao/Goatools, accessed on 27 October 2020). Second, for a more comprehensive functional annotation, the DEPs were searched against the Clusters of Orthologous Groups of proteins (COG) database (
http://www.ncbi.nlm.nih.gov/COG/, accessed on 27 October 2020) [
22]. Third, to predict the potential signal pathways related to the DEPs, the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis was carried out using DIAMOND BLASTP against the KEGG database (
http://www.genome.jp/kegg/, accessed on 27 October 2020) with a cutoff E-value ≤ 1 × 10
−5. Moreover, KEGG pathway enrichment analysis was also performed on the DEPs using the KOBAS software (
http://kobas.cbi.pku.edu.cn/home.do/, accessed on 27 October 2020). For both GO and KEGG enrichment analyses, a Fisher’s exact test was used to identify the enriched terms, with
p values < 0.05 considered statistically significant. Finally, the protein–protein interaction (PPI) networks between the screened DEPs were created using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database (
http://string-db.org/, accessed on 27 October 2020) [
23].
2.10. Quantitative Real-Time PCR (qPCR)
Total cellular RNAs of both mock- and SVA-infected PK-15 cells were extracted using MagZol Reagent (Guangzhou Magen Biotechnology Co., Ltd., Guangzhou, China) according to the manufacturer’s instructions. Two micrograms of cellular RNA from each sample were used to prepare the first-strand cDNA using a FastQuant RT Kit (Tiangen Biotech Co. Ltd., Beijing, China) as per the manufacturer’s protocol. The prepared cDNA was then used as a template in the subsequent qPCR assays to evaluate the mRNA expression levels of five randomly selected representative DEPs, including two upregulated DEPs, Mx1 and TOP1, and three downregulated DEPs, eIF4E, G6PD and PGAM1. The qPCR assays were operated on an ABI 7500 Real-Time PCR System (Applied Biosystems, Foster City, CA, USA) following the protocol of the SYBR Select Master Mix (Thermo Fisher Scientific). Porcine β-actin was used as a housekeeping gene to normalize the target gene transcript levels [
21]. The relative mRNA expression levels of the selected DEPs were calculated using the 2
−ΔΔCt method [
24]. The primers used for the qPCR assays are listed in
Table 1.
2.11. Plasmid Construction
The coding sequences of porcine Mx1, Mx2, ISG15, OASL and IFIT1 genes were amplified by PCR using the prepared cDNA from PK-15 cells as the template and with the corresponding primer pairs listed in
Table 1. The amplicons were cloned into the EcoR I/Xho I-linearized pCMV-Myc-N vector (Clontech Laboratories Inc., Palo Alto, CA, USA) by means of a homologous recombination technique using a ClonExpress II One Step Cloning Kit (Vazyme Biotech Co., Ltd., Nanjing, China) according to the manufacturer’s instructions. The resulting plasmids were designated pCMV-Myc-Mx1, pCMV-Myc-Mx2, pCMV-Myc-ISG15, pCMV-Myc-OASL and pCMV-Myc-IFIT1, respectively. Furthermore, three mutant plasmids, pCMV-Myc-Mx1(K83A), pCMV-Myc-Mx1(R409D) and pCMV-Myc-Mx1(ΔL4), were constructed using pCMV-Myc-Mx1 as the backbone plasmid and with the respective mutagenic primer pairs listed in
Table 1. The three Mx1 mutants (K83A, R409D and ΔL4) contained a single-site mutation at positions 83 (K→A) and 409 (R→D), and a 40-amino acid deletion at positions 534–573, respectively. In addition, the coding sequences of L-VP4, VP1, VP2, VP3, 2A-2B, 2C, 3A-3B, 3C and 3D genes were amplified by RT-PCR using the SVA SDta/2018 RNA as the template and with the primer pairs listed in
Table 1. The amplicons were cloned into the EcoR I/Xho I-linearized pCMV-HA vector (Clontech) in the same way as pCMV-Myc-N. The resulting plasmids were designated pCMV-HA-L-VP4, pCMV-HA-VP1, pCMV-HA-VP2, pCMV-HA-VP3, pCMV-HA-2A-2B, pCMV-HA-2C, pCMV-HA-3A-3B, pCMV-HA-3C, and pCMV-HA-3D, respectively. The PCR and RT-PCR amplifications were performed using the Invitrogen Platinum SuperFi II Green PCR Master Mix and SuperScript IV One-Step RT-PCR System, respectively, following the manufacturer’s protocol. All the constructed plasmids were confirmed by DNA sequencing to ensure their accuracy.
2.12. Western Blot (WB)
Cells grown in 6-well cell plates were harvested at the specific time points post-infection or post-transfection indicated in the figures or figure legends. After washing twice with PBS, the cells were lysed with 200 μL/well of NP-40 lysis buffer (Beyotime, Shanghai, China) containing a protease inhibitor cocktail (Thermo Fisher Scientific) for 30 min on ice. The cell lysates were centrifugated for 30 min at 12,000× g and 4 °C, and protein concentration in the supernatant was determined using a Pierce BCA Protein Assay Kit (Thermo Fisher Scientific). Approximately, 20 µg/lane of each protein sample was separated on 12% sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS-PAGE) gels under reducing conditions. The separated proteins in the gel were then electrically transferred onto 0.22 μm polyvinylidene fluoride membranes (Millipore, Bedford, MA, USA). After blocking with 5% nonfat dry milk for 2 h at room temperature, the membranes were probed with appropriate primary antibodies for 1 h at 37 °C. After thorough washing with PBST (PBS containing 0.05% Tween-20, pH 7.4), the membranes were incubated with the corresponding HRP-conjugated secondary antibodies for 1 h at 37 °C. Following another wash step, the immunoreactive protein bands on the membranes were developed with the Enlight™ Western Blotting Substrate (Engreen Biosystem Co. Ltd., Beijing, China), and images were taken using the ChemiDoc™ MP Imaging System (Bio-Rad Laboratories Inc., Hercules, CA, USA).
2.13. RNA Interference
Three pairs of small interfering RNAs (siRNAs) targeting different regions of porcine Mx1 gene were designed to specifically knock down Mx1 expression in PK-15 cells (
Table 2). Moreover, a set of siRNA duplexes previously designed for the specific knockdown of ISG15 gene expression were synthesized as well [
25]. These specific siRNAs along with the scrambled siRNAs (siNC) were synthesized by Suzhou GenePharma Co., Ltd. (Suzhou, China). PK-15 cells grown to ∼50% confluence in 6-well cell plates were transfected with a pool of three siRNAs specific for Mx1 gene (40 pmol for each siRNA), 80 pmol of siISG15 or 80 pmol of siNC using Lipofectamine
® 3000 reagent (Invitrogen; Carlsbad, CA, USA) as per the manufacturer’s protocol. At 36 h post-transfection (hpt), the transfected cells were mock infected or infected with SVA at an MOI of 0.1 or 1. At 24 hpi, the cells and progeny viruses were harvested for WB analysis and viral yield titration, respectively.
2.14. Co-Immunoprecipitation (Co-IP) and Confocal Immunofluorescence Microscopy
HEK293T cells grown to ∼50% confluence in 6-well cell plates were co-transfected with 1.25 μg of pCMV-HA-L-VP4, pCMV-HA-VP1, pCMV-HA-VP2, pCMV-HA-VP3, pCMV-HA-2A-2B, pCMV-HA-2C, pCMV-HA-3A-3B, pCMV-HA-3C, pCMV-HA-3D or pCMV-HA, and 1.25 μg of pCMV-Myc-Mx1, pCMV-Myc-Mx1(K83A), pCMV-Myc-Mx1(R409D), pCMV-Myc-Mx1(ΔL4), pCMV-Myc-ISG15 or pCMV-Myc-N using Lipofectamine® LTX reagent (Invitrogen) according to the manufacturer’s instruction. At 36 hpt, the cells were processed for Co-IP and confocal microscopy, respectively. For Co-IP analysis, the cells were lysed with 200 μL/well of NP-40 lysis buffer supplemented with a protease inhibitor cocktail (Thermo Fisher Scientific). After centrifuging the cell lysates for 10 min at 10,000× g and 4 °C, the supernatants were collected and subjected to Co-IP analyses. Briefly, 300 μL of supernatant were incubated with 2 μg of anti-Myc mAb (Sigma-Aldrich) or anti-HA mAb (Medical & Biological Laboratories Co., Ltd.) for 12 h at 4 °C with shaking. After pre-washing with Tris-buffered saline containing 0.05% Tween-20 (TBST) with a magnetic stand, 25 µL of Pierce™ Protein A/G Magnetic Beads (Thermo Fisher Scientific) were added to each of the antigen–antibody mixtures, and then mixed by rocking for 1 h at room temperature. After three successive washes with TBST and a final wash with ultrapure water, the immune complexes were separated on 12% SDS-PAGE gels and then analyzed by WB analysis. For confocal microscopy analysis, the cells were fixed, permeabilized and then subjected to immunofluorescent double staining using mouse anti-Myc and rabbit anti-HA mAbs (Sigma-Aldrich) as the primary antibodies, along with Alexa Fluor 488-conjugated goat anti-rabbit IgG and Alexa Fluor 594-conjugated goat anti-mouse IgG as the secondary antibodies. After counterstaining with DAPI, cell images were taken using a Nikon A1 confocal laser scanning microscope.
2.15. GTPase Activity Assay
The GTPase activity of wild-type (WT) Mx1 protein and its mutants Mx1(K83A), Mx1(R409D) and Mx1(ΔL4) expressed in HEK293T cells was measured as previously described [
25], with slight modifications. Briefly, HEK293T cells grown to ∼50% confluence in 6-well plates were transfected with 2.5 μg/well of pCMV-Myc-Mx1, pCMV-Myc-Mx1(K83A), pCMV-Myc-Mx1(R409D), pCMV-Myc-Mx1(ΔL4), pCMV-Myc-ISG15, or pCMV-Myc-N using Lipofectamine
® LTX reagent. At 36 hpt, the cells were rinsed once with ddH
2O, scraped off, and pelleted by centrifugation at 300×
g for 6 min. After three washes with ddH
2O, the cells were suspended in 500 μL ddH
2O and lysed by sonication on ice for 2 min at 1 s pulses and 9 s intervals. The cell lysates were centrifuged for 30 min at 10,000×
g and 4 °C, and the supernatants were subjected to GTPase activity assay with a QuantiChrom
™ ATPase/GTPase Assay Kit (BioAssay Systems, Hayward, CA, USA) following the manufacturer’s protocol. The optical density at 620 nm (OD
620) was measured using a Tecan Spark Multimode Microplate Reader (Männedorf, Switzerland). The relative enzyme activities of the Mx1 mutants were calculated with the OD
620 values and were expressed as relative to the activity of the Mx1 (WT) protein that was defined as 100%.
2.16. Statistical Analysis
Experimental data were presented as means ± standard deviation (SD) and were analyzed using GraphPad Prism software (Version 8.0; La Jolla, CA, USA). Except GO and KEGG enrichment which were analyzed by Fisher’s exact test, the other data were analyzed by Student’s t test. Differences were considered statistically significant at p values of <0.05 (*), <0.01 (**), <0.001 (***), and <0.0001 (****).
4. Discussion
Although SVA was discovered more than two decades ago [
1], it was not until recent years that the harm of SVA infection to the pig industry has gradually appeared across the world [
5,
6,
31]. What caused a delayed identification of SVA as a causative agent for vesicular disease in pigs is that the majority of the historical SVA isolates failed to reproduce the disease under experimental conditions [
32,
33]. In contrast, the contemporary SVA isolates can easily cause vesicular diseases in naturally or experimentally infected pigs [
32], indicating that SVA is evolving towards a more virulent phenotype over time. As a newly emerging causative agent for pigs, exploring the pathogenic and immune escape mechanisms of SVA from diverse aspects will be conducive to finding potential antiviral targets or strategies. To date, a number of studies have demonstrated that there exist extremely complex interactions between SVA and autophagy/apoptosis in host cells [
34,
35]. For example, Sun and colleagues showed that SVA infection can induce autophagy in the early stage of SVA infection, which functions to inhibit SVA replication by degrading the SVA 3C protein; however, in the late stage of infection, SVA utilizes 2AB protein to inhibit autophagy via interaction with MARCHF8/MARCH8 and LC3 to facilitate viral replication [
34]. Wen et al. (2021) found that, although selective autophagy receptor SQSTM1/p62 functions to inhibit SVA replication by targeting viral VP1 and VP3 to phagophores for an autophagic degradation, SVA has evolved an antagonistic mechanism against the function of selective autophagic degradation via cleavage of SQSTM1/p62 at glutamic acid 355, glutamine 392, and glutamine 395 by the SVA 3C protease (3C
pro) [
35]. Furthermore, it was demonstrated that both 2C and 3C
pro proteins of SVA are able to induce apoptosis, among which 2C protein induces apoptosis via the mitochondrion-mediated intrinsic pathway, while 3C
pro induces apoptosis through both the mitochondrial pathway and the extrinsic death receptor pathway [
36]. Despite sustained efforts as mentioned above, the key factors that affect the replication, pathogenicity and virulence of SVA are far from being fully deciphered and thus warrant further investigation.
It is well known that quantitative proteomics is a powerful tool widely used for the systematic, large-scale and highly efficient analysis of the global protein profiles, protein function predictions, protein–protein interactions and signaling pathway analyses from a specific cell, tissue or organism [
17,
37]. In addition to TMT labeling, although other labeling approaches, such as an isobaric tag for relative and absolute quantitation (iTRAQ) and stable isotope labeling by amino acids in cell culture (SILAC), are also currently available for proteomic analysis, TMT is still the most commonly used method because it has several advantages over its counterparts, such as an increased sample multiplexing for relative quantitation, an enhanced sample throughput and fewer missing quantitative channels among samples. In the present study, in order to find more potential clues and targets for the investigation of SVA pathogenesis and immune escape mechanism, a quantitative proteomics approach based on TMT labeling coupled to LC-MS/MS was used for the comparative analysis of the dynamic changes of proteome in PK-15 cells in response to SVA infection. Although a variety of porcine-derived and non-porcine-derived cell lines have been demonstrated to be highly permissive to SVA infection, given that swine kidney is one of the natural target organs for SVA infection in vivo and SVA replicates well in swine kidneys [
8,
38], we, therefore, chose to use PK-15 for the quantitative proteomic analysis with the goal of obtaining experimental closer to the physiological state of pigs and the true state of SVA infection in vivo. Meanwhile, to depict a global picture of changes in host and viral proteins throughout the course of SVA infection, we specially set up three time points post-infection (12, 24 and 36 hpi) for sampling for a temporal proteomic analysis, by which a total of 8512 proteins were finally identified in both mock- and SVA-infected PK-15 cells, including 6979 quantified proteins and 1533 qualitative proteins (
Supplementary File S1). After a stringent filtering and quality check of the MS data, although six proteins (UniProt accession Nos. A0A2K9YSP5, A0A218L147, A0A5C2GZI4, A0A649YC94, A0A240FRZ3, A0A649YCR0, A0A649YCR7 and A0A6B9QIJ0) were annotated to belong to SVA, only two of them were identified to be VP0 and VP1 proteins due to the incomplete annotation for SVA proteins in the UniProt database (
Supplementary File S2). What needs to be pointed out is that VP0 is an important component of the immature capsid precursor protein. Upon proteolytic processing, VP0 will eventually be cleaved into two mature capsid proteins VP2 and VP4.
To ensure the reliability of the quantitative proteomic data, we randomly selected five proteins Mx1, eIF4E, G6PD, TOP1 and PGAM1 out of the screened DEPs for validation by qPCR and WB at the mRNA and protein level, respectively. In order to make the randomly selected DEPs more representative, one upregulated protein and one downregulated protein were, respectively, selected from each time point post-infection for the verification. Specifically, Mx1, Mx1 and TOP1 represent the upregulated proteins, while eIF4E, G6PD and PGAM1 represent the downregulated proteins at 12, 24 and 36 hpi, respectively. Mx1 is an IFN-induced dynamin-like GTPase that participates in cellular antiviral responses against a wide range of RNA viruses and some DNA viruses [
27]. eIF4E is an important regulatory factor responsible for initiating protein synthesis via recognizing and binding to the 7-methylguanosine-containing mRNA cap [
39]. G6PD is a cytosolic enzyme encoded by a housekeeping gene whose main physiologic role is to produce nicotinamide adenine dinucleotide phosphate (NADPH) [
40]. TOP1 is a ubiquitous enzyme that modulates the topologic states of DNA during replication, transcription and chromosomal recombination [
41]. PGAM1 is an important mutase that catalyzes the conversion of 3-phosphoglycerate to 2-phosphoglycerate in the glycolytic pathway [
42]. On the basis of the qPCR and WB validation results for the five DEPs, we confirmed that our proteomics data are reliable enough for the subsequent multiple bioinformatics analyses.
To annotate the DEPs identified in PK-15 cells in response to SVA infection, GO, COG, KEGG and STRING analyses were successively performed on the DEPs. Although the functions of each bioinformatics analysis method we used are different, the results of which all reveal that the significantly enriched DEPs were mainly involved in a variety of host defense mechanisms, including the innate immune response (response to type I interferon), defense response to virus, negative regulation of viral life cycle, and antigen processing and presentation of endogenous antigen, etc. in the early and middle stages of SVA infection, but they turned to mainly participate in various metabolic processes, such as the carbohydrate metabolic process, carboxylic acid metabolic process, small molecule metabolic process, oxoacid metabolic process, hormone metabolic process, organic acid metabolic process, monocarboxylic acid metabolic process, in the late stage of SVA infection. By means of KEGG enrichment analysis, we further discovered that the significantly enriched DEPs at 12 and 24 hpi were mainly involved in the following innate immune response-related pathways: the NOD-like receptor signaling pathway, RIG-I-like receptor signaling pathway, complement and coagulation cascades, and the TNF signaling pathway. Our findings are consistent with a recent iTRAQ-based proteomics study which demonstrated that most DEPs were enriched in the innate immune response-related pathways, including the RIG-I-like receptor signaling pathway, NOD-like receptor signaling pathway and cytosolic DNA-sensing pathway, in SVA-infected PK-15 cells rather than IBRS-2 cells [
10]. It should be noted that, although a relatively lower MOI of 0.5 than ours (MOI = 5) was used in this study, the cell samples used for the proteomic analysis were also collected at an early stage of SVA infection (6 hpi); however, this study did not analyze cell samples at other time points post-infection [
10]. Similarly, Li and colleagues also showed that many innate immune-related proteins, such as Mx1, Mx2, ISG15, IFIT1, OAS1 and DDX58, were significantly upregulated in SVA-infected ST cells at 12 and 24 hpi by iTRAQ-coupled LC-MS/MS analysis, even though a different cell type and a lower MOI of 0.1 were used [
43]. Furthermore, a transcriptome analysis also discovered that the innate immune-related genes and pathways were significantly activated in SVA-infected porcine renal proximal tubule epithelial cells (LLC-PK1) at 6 and 12 hpi, which were also in the early stage of SVA infection [
44]. Interestingly, another proteomic analysis of SVA-infected kidney cells of golden hamsters (BSR-T7/5) using TMT-labeled nano-LC-MS/MS analysis found that the DEPs were mainly enriched in 11 cellular metabolism-related signaling pathways at 12 hpi, but no DEPs were enriched in the innate immune-related signaling pathways [
45]. The possible reason for this inconsistency might be related to different species-derived cells being used for the proteomic analysis. Nonetheless, on the basis of these previous findings along with our experimental results, we conclude that, although the innate immune response can be successfully activated in the early stage after SVA invading the host cells, the virus has evolved multiple mechanisms to escape the host innate immune response in the late stage of viral infection. Thus far, a couple of studies have demonstrated that the 3C
pro protein of SVA is able to suppress type I IFN production via the cleavage of MAVS, TRIF, TANK or the degradation of IRF3 and IRF7, and that the protease activity of 3C
pro is required for its cleavage and degradation functions [
13,
46]. Xue et al. (2018) showed that the SVA 3C
pro protein can inhibit the ubiquitination of RIG-I, TBK1 and TRAF3 dependent on its deubiquitinating activity, thereby suppressing the type I interferon pathway [
47].
Although it was shown that SVA has evolved diverse mechanisms to evade the innate immune response of the host in the late stage of infection, our proteomic data showed that a variety of ISG family proteins such as Mx1, Mx2, IFIT1, ISG15 and OASL were significantly upregulated in the early and middle stages of SVA infection. This indicates that the innate immunity still works during the course of SVA infection. To elucidate what role these ISG family proteins play during SVA infection of host cells, we assessed the effect of their gain- and loss-of-function on the replication of SVA in host cells, and discovered that all the five ISG family proteins can exert antiviral activities against SVA. As existing studies have shown that Mx1 and ISG15 usually exert antiviral activities by interacting with viral proteins [
25,
27,
28], we took a step further by performing Co-IP and confocal microscopy on the co-transfected 293T cells, and found that Mx1 protein interacts with the VP1, VP2 and VP3 proteins of SVA, while ISG15 does not interact with any SVA proteins. Moreover, it was demonstrated that Mx1 protein possesses three important activities, including GTPase activity, oligomerization activity and interaction activity, each of which plays a crucial but not identical role in combating with different viruses [
25,
29,
30]. Therefore, we constructed three Mx1 mutants GTPase-deficient Mx1 (K83A), oligomerization-disrupting Mx1 (R409D) and interaction-interfering Mx1 (ΔL4), and evaluated their ability to interact with VP1, VP2 and VP3 proteins. We finally proved that the three activities of Mx1 are indispensable for its interaction with VP1 and VP2 proteins, while the interaction of Mx1 with VP3 protein only depend on the oligomerization activity.