1. Introduction
In China, the breeding density and scale of pig herds are increasing. The pigs in some large farms are experiencing mixed infection or secondary infection with multiple pathogens, leading to high morbidity and mortality [1]. Severe pathogens, such as toxoplasma gondii, porcine respiratory and reproductive syndrome virus, classical swine fever virus, porcine parvovirus, Japanese encephalitis virus, African swine fever virus (ASFV), porcine circovirus (PCV), and pseudorabies virus (PRV), can cause sow reproductive disorders. At present, among these pathogens, the porcine respiratory and reproductive syndrome virus is the most concerning, but three DNA viruses, ASFV, PCV2, and PRV, also cannot be ignored. At the same time, because PCV2 can inhibit type I interferon induction to promote the infections caused by other DNA viruses [2,3], the problem of mixed infection with ASFV, PCV2, and PRV is more prominent [4,5,6]. African swine fever (ASF) caused by ASFV is an acute, febrile, and highly lethal infectious disease of pigs that requires notifying the World Organization for Animal Health (WOAH) [7]. Since 2018, there have been some outbreaks in mainland China within the scope of the epidemic, seriously endangering the pig-breeding industry in China and causing huge economic losses [8]. ASFV is a large-enveloped, double-stranded DNA virus, and its genome consists of a linear double-stranded DNA molecule of 170–190 kb coding for more than 50 structural proteins and several non-structural proteins. It is well known that ASFV molecular polymorphism has been investigated by partial sequencing of the gene encoding the major capsid protein p72 [9,10,11]. The term porcine circovirus-associated disease (PCVAD) refers to several swine diseases induced by porcine circovirus (PCV). Sow reproductive abnormalities form one of the typical symptoms. The identified PCVs are PCV1, PCV2, PCV3, and PCV4. In recent years, PCV3 and PCV4 have been discovered, but there is no direct evidence that they cause reproductive disorders in sows [12,13]. PCV2 continues to have the greatest clinical impact. PCV2 is a small, circular, single-stranded DNA virus belonging to the family Circoviridae, genus Circoviruse [14]. ORF1 and ORF2 are two major ORFs situated on opposite strands that respectively encode Rep and Cap proteins [15]. PRV is an enveloped, double-stranded DNA herpesvirus belonging to the Varicellovirus genus of the Alphaherpesvirinae subfamily of the Herpesviridae family [16]. PR is an acute infectious disease that can cause fatal infection of piglets and abortion of sows and can infect a variety of domestic and wild animals such as cattle, sheep, dogs, rabbits, mice, and minks [17,18,19,20]. In view of the similarity of the clinical symptoms of ASF, PR, and PCVAD in the early stages of these three diseases, resulting in a difficult diagnosis in the field, it is necessary to develop a differential diagnosis for these three viruses.
These three viruses are difficult to distinguish using clinical symptoms alone. At present, diagnosis mostly depends on molecular diagnosis. Considering the convenience, sensitivity, and rapidity of identifying clinical viral infections in pigs, several technologies, such as PCR, real-time PCR, and digital PCR, are frequently used. There are also some articles about isothermal nucleic acid amplification, such as recombinase polymerase amplification (RPA), recombinase-aided amplification (RAA), and loop-mediated isothermal amplification (LAMP) [21,22,23,24,25,26,27]. Combining CRISPR technology with flow immunochromatography to detect viruses has yielded positive results in some studies [28]. These methods exhibit excellent sensitivity and specificity, but no mature commercial applications exist. In clinical detection, qPCR is the method most frequently employed. However, repeated detection of different pathogens wastes time and makes operations cumbersome, necessitating the development of an assay that can be used to simultaneously detect and discriminate the swine pathogens. Multiplex real-time PCR (qPCR) is a method that can detect multiple pathogens in a single reaction system, which has the advantages of high sensitivity, good accuracy, and direct analysis of results without electrophoresis compared with PCR [29,30,31,32,33]. Additionally, it greatly reduces the cost of materials and time required of the testers in the detection process, especially for large-scale specimen detection and specimen-mixing infection detection. Several single real-time qPCR assays have been published that detect ASFV, PRV, or PCV2. To distinguish between genotype I and genotype II strains of ASFV in the Chinese epidemic strain, a duplex real-time qPCR test has been devised. Multiplex real-time qPCR methods to detect ASFV, classical swine fever virus (CSFV), and atypical porcine pestivirus (APPV) have been developed. To date, no assay has been described for the simultaneous detection of ASFV, PRV, and PCV2. In this investigation, a multiplex real-time qPCR assay was established to simultaneously detect and discriminate ASFV, PCV2, and PRV. More importantly, we applied the established method to detect and analyze field specimens of swine from four provinces in East China and found mixed infections, providing data support for formulating prevention and control measures in this region.
2. Materials and Methods
2.1. Special Primers and Probes Design
Special primers and probes were designed based on the conserved regions of the ASFV (MK333180.1), PCV2 (KT719404.1), and PRV (KT809429.1) for the creation of constructed plasmid standards and the establishment of a real-time qPCR assay. An internal reference, β-Actin, was amplified as a control [34]. The primers and probes manufactured by Generay Biotechnology Co., Ltd. (Shanghai, China), are listed in Table 1.
2.2. Positive DNA/cDNA and Field Specimens
Positive cDNA of JEV and CSFV were from the NJ-2008 strain (GQ918133) and the Shimen strain (AF092448). The positive DNA of PRV was from the SD-2019 strain (GenBank accession No. MW805231). Other positive DNA or cDNA of PCV1, PCV2, PCV3, PCV4, PRRSV, PPV, Chlamydia suis, and Toxoplasma gondii were from specimens previously confirmed using PCR and RT-PCR assays. ASFV-positive DNA was a gift from the Lanzhou Veterinary Research Institute (Lanzhou, China). All the positive nucleic acid above of swine pathogens was stored in the lab for specificity experiments. In all, 383 field specimens, consisting of lymphoid tissues, placentas, sera, and blood, were collected from sows with reproductive issues and aborted piglets in the pig farms of four provinces of East China from 2020 to 2022. The information of the specimens was shown in Table 2.
2.3. Construction of the Recombinant Plasmid
The conserved regions of ASFV p72, PCV2 Cap, or PRV gE were cloned into a pEasy vector and produced three recombinant plasmids, named pEasy-ASFV, pEasy-PCV2, and pEasy-PRV, and sent to Nanjing GenScript Biotechnology Co., Ltd. (Nanjing, China), for DNA sequencing. The concentration of plasmid standards was determined using a NanoDrop spectrophotometer (Thermo Fisher, Waltham, MA, USA). Finally, the copy numbers of the three recombinant plasmids were calculated [35].
2.4. Optimization of Reaction Conditions for the Multiplex Real-Time qPCR
The optimal reaction conditions were determined according to a previous report [33]. In brief, the 10-fold diluted plasmids constructed above from 3 × 107 copies/μL to 3 × 104 copies/μL were amplified as the templates. Firstly, a mixture of three diluted plasmids with a concentration of up to 1 × 104 copies/μL was prepared. Secondly, four mixed pairs of customized primers and probes were added to one reaction condition and set to determine the optimal work concentrations for the development of this assay. The final volume of 20 μL included 10 μL 2 × AceQ qPCR Probe Master Mix (Vazyme, Nanjing, China), 0.1–1.8 μL of each of the primers, 0.1–0.8 μL of each of the probes, and 2 μL of templates. Thirdly, FAM, HEX, Texas Red, and Cy5 were configured as the fluorescence channels for the real-time qPCR instrument’s four fluorescence channels. Finally, a commercialized real-time PCR instrument (IDEXX, Westbrook, ME, USA) was used to collect the fluorescence signals.
2.5. Establishment of Standard Curves of the Multiplex Real-Time qPCR
According to the report described previously [33], the amplification standard curves were generated. In brief, three constructed plasmid standards of 10-fold serial dilutions (107 to 101 copies/μL) in distilled water were employed as amplification templates for this assay. The logarithm of the copy number determined the horizontal axis of the standard curve, while the vertical axis was determined by the Ct value. The Prism software was used to draw the standard curves.
2.6. Specificity, Sensitivity, and Repeatability of the Multiplex Real-Time qPCR
The specificity of the multiplex real-time qPCR assay was determined by utilizing the positive DNA or cDNA of the above-mentioned swine pathogens PCV1, PCV3, PCV4, PRRSV, CSFV, PPV, Chlamydia suis, and Toxoplasma gondii as detection templates, the plasmid standards as positive controls, and ddH2O as a negative control. All templates and ddH2O were repeated three times under the optimal reaction conditions for specificity of the multiplex PCR.
The detection limit determines the occurence of false negatives during detection. To analyze the sensitivity of the established multiplex real-time qPCR, the linearization standard plasmids, pEasy-ASFV, pEasy-PCV2, and pEasy-PRV, prepared above were diluted 10-fold serially to a final concentration between 1 × 107 copies/μL and 1 × 101 copies/μL in nuclease-free water. The diluted standard plasmids were used as templates for multiplex qPCR amplification in the optimal reaction conditions.
To analyze the repeatability and reproducibility of the established multiplex real-time qPCR, the linearization standard plasmids, pEasy-ASFV, pEasy-PCV2, and pEasy-PRV, were diluted by a factor of 10 from 107 copies/μL to 104 copies/μL using nuclease-free water. The diluted standard plasmids were used as templates for multiplex real-time qPCR amplification. Using the optimized amplification conditions, each diluted standard plasmid was amplified three times repeatedly and tested every other week. The different concentration groups were compared, and their intra-group and inter-group coefficients of variation were determined to confirm their reproducibility.
2.7. Field Specimen Detection
A total of 383 field specimens gathered from four eastern provinces of China were detected using the established real-time qPCR. In brief, all the specimens were resuspended and homogenized in phosphate-buffered saline (PBS). Following the manufacturer’s instructions, the nucleic acid was extracted from a homogenized specimen using a PureLink Viral DNA Mini Kit (ThermoFisher, Waltham, MA, USA). The constructed plasmid and ddH2O were employed as positive and negative controls, respectively. The extracted DNA from field specimens was measured by the assay established in this study, and then the epidemiological survey data were analyzed.
3. Results
3.1. Optimization of the Multiplex Real-Time qPCR Reaction Conditions
After the repeated tests for optimization of primer and probe concentrations, the optimum reaction conditions for multiplex real-time qPCR were obtained as follows: 10 μL 2 × AceQ qPCR Probe Master Mix (Vazyme, Nanjing, China) was used; initial primer concentrations of 10 μM of ASFV-p72qF, ASFV-p72qR, PRV-gEqF, PRV-gEqR, PCV2-CapqF, PCV2-CapqR, β-Actin-qF, and β-Actin-qR were 0.6 μL each; initial probe concentrations of 10 μM of ASFV-probe, PRV-probe, PCV2-probe, and β-Actin-probe were 0.3 μL each; the volume of the DNA template and ddH2O was 4 μL; and the total volume of the reaction was 20 μL. The qPCR reaction program was as follows: 95 °C pre-denaturation for 3 min; followed by 40 cycles, which consisted of denaturation at 95 °C for 10 s, annealing at 60 °C for 10 s, and extension at 72 °C for 20 s. Fluorescence channels 1–4 were arranged to amplify the four genes ASFV p72 (FAM), β-Actin (HEX), PCV2 Cap (CY5), and PRV gE (Texas Red), respectively. Finally, all the fluorescence signals were collected by a real-time PCR instrument.
3.2. Standard Curves
Diluted to 107−101 copies/μL in a 10-fold gradient, pEasy-ASFV, pEasy-PCV2, and pEasy-PRV were amplified by multiplex real-time qPCR using the best reaction conditions and procedure. Three standard curves of gene amplification were established using the obtained Ct values and plasmid concentrations. As shown in Figure 1, the correlation coefficients were R2 = 0.9956 for ASFV, R2 = 0.9965 for PCV2, and R2 = 0.9904 for PRV, which proved an excellent correlation coefficient and amplification efficacy. This suggested that the established TaqMan probe-based multiplex real-time qPCR for each virus was reliable and valid.
3.3. Specificity of the Multiplex Real-Time qPCR
There are numerous pathogens in pig farms that might induce reproductive disorders in sows. To evaluate the specificity of the method established in this experiment, we performed specificity tests with prevalent pathogen specimens. The standard plasmids, pEasy-ASFV, pEasy-PCV2, and pEasy-PRV, were tested as positive controls. Positive nucleic acids of JEV, CSFV, PRRSV, PCV1, PCV3, PCV4, PPV, Chlamydia suis, and Toxoplasma gondii were tested as templates, and ddH2O was tested as a negative control. As shown in Figure 2, three S-shaped curves demonstrated that the target genes from the above-constructed plasmids were detected using this assay. However, this method did not detect fluorescence signals of other swine pathogens, resulting in no amplification curves. Moreover, the Ct values obtained by the machine also verified the above results (Table 3). Overall, this indicates that this established method has a high degree of specificity.
3.4. Sensitivity of the Multiplex Real-Time qPCR
Multiplex real-time qPCR was performed utilizing the most appropriate reaction conditions to amplify the target genes from seven concentrations ranging from 1 × 107 copies/μL to 1 × 101 copies/μL of three constructed plasmids of ASFV, PCV2, and PRV for the sensitivity test. As shown in Figure 3, the results demonstrated that the assay for every viral pathogen was successfully established at the limit of detection at 101 copies/μL.
3.5. Repeatability of the Multiplex Real-Time qPCR
The resulting data showed that the variation coefficients (CVs) of Ct values in the intra-group reproducibility tests and inter-group reproducibility tests ranged from 0.39% to 1.20% and from 0.06% to 1.96% (Table 4), respectively, indicating that the method established has good reproducibility.
3.6. The Detection of Field Specimens
The established assay was employed to determine the DNA of 383 field specimens collected from East China. As shown in Table 5, the detection data indicated that the single infection rates of ASFV, PCV2, and PRV were 22.45% (86/383), 28.46% (109/383), and 2.87% (11/383), respectively. The co-infection rates of ASFV + PCV2, ASFV + PRV, PCV2 + PRV were 5.22% (20/383), 0.26% (1/383), and 1.83% (7/3383), respectively, while the ASFV + PCV2 + PRV mixed infection rate was 0.26% (1/383). All field specimens were detected using the internal reference primers and probe and showed positive data, suggesting that all the specimens were sampled normally, and no false-positive results were observed.
4. Discussion
Sow reproductive disorders still have a serious impact on farms, and the widespread availability of weak strains of ASFV complicates the epidemiology of the disease [36,37]. Given that ASFV, PCV2 and PRV can cause a series of pig diseases, such as reproductive disorders in sows, it is necessary for pig farms to differentiate the three viruses [38]. In addition, missed inspections often occur due to nonstandard sampling. To this end, many established multiplex real-time qPCR methods have been reported to establish the amplification of internal reference genes to avoid false-negative results. Herein, the β-Actin gene was amplified as an internal reference to avoid false-negative results. Therefore, a TaqMan probe-based multiplex real-time qPCR assay was established for ASFV, PCV2, and PRV, which also could detect the internal reference gene β-Actin, thus allowing the simultaneous detection of three pathogens while ensuring the accuracy and reliability of the assay. The tested data confirmed this assay’s high specificity and lack of cross-reactivity with widespread porcine microorganisms. The detection limit of each pathogen can reach 1 × 101 copies/μL, and the intra-group and inter-group variation coefficients are less than 2%. Meanwhile, the assay established has good reproducibility and sensitivity, providing a sensitive and specific tool for the rapid detection of ASFV, PCV2, and PRV in clinical diagnosis.
Virus gene analysis and detection are crucial components of epidemic control and prevention. There are numerous approaches to analyzing genes [39]. PCR is the most commonly used detection and analyzing method in the antigen screening of all kinds of pathogens and is also one of the most important approaches for the early diagnosis of viral infections, including ASFV. An earlier report showed that a qPCR assay was established to detect DNA at 1.0 × 101 copies/μL using the special primers and probe for the conservative region of the ASFV p72 gene. Recently, the wild-type and gene-deleted ASFV strains were detected simultaneously using a multiplex real-time qPCR assay, which tested for ASFV with a detection limit of 32.1 copies/L for the p72 gene and 3.21 copies/L for the I177L, MGF505-2R, and CD2v genes [40]. In addition, multiple reports have shown qPCR assays being used for PRV detection. Cheng et al. [41] developed a qPCR method for detecting PRV gB in saliva specimens and nasal swabs of swine. Zhao et al. [42] established a digital PCR (ddPCR) detection method based on the ORF2 gene of PCV2, and its detection limit could reach 2.5 × 101 copies/μL. Currently, few qPCR methods can concurrently detect these three viruses. Remarkably, the approach developed in this study compensated for the shortcomings of clinical detection. Moreover, its detection limit reached 101 copies/μL for each virus.
Since August 2018, the ASF epidemic has occurred in 31 provinces nationwide, seriously harming the Chinese pig-breeding industry and causing huge economic losses [43]. The ASFV infection rate of 22.45% reflects that there was still a relatively wide spread of ASFV in China from 2020 to 2022. Additionally, 86 ASFV-positive specimens were tested using a pair of special primers for MGF360, and the results showed that there were MGF360 gene-deficient strains among these ASFV-positive specimens. This indicated that the coexistence of wild virus strains and natural variant strains of ASFV has led to a great increase in the infection pressure of pig herds. As a common pathogen in pig farms, a large number of previous studies have reported that PCV2 causes serious infections in many regions of China. Zheng et al. [44] collected 117 field specimens from Henan Province, Central China, from 2015 to 2018 and found that the positivity rate of PCV2 was 62.4%. In 2019, Xu et al. [45] reported that the PCV2-positive rate was 63.16% (84/133), and the PCV2 and PCV4 co-infection-positive rate was 21.05% (28/133) in Henan Province. In South China, Nan et al. [46] collected 573 tissue specimens from 132 pig farms in Northern Guangdong Province during 2016–2021 and investigated the recent prevalence of PCV2 by using PCR. The data showed that 51.38% (297/573) of specimens tested positive for PCV2. Therefore, the recent high positivity rates in some provinces have illustrated the prevalence of PCV2 in China. In this study, we found that the prevalence rate of PCV2 in the field specimens from East China between 2020 and 2022 reached 28.46%, implying an obvious PCV2 infection problem in East China. Because the pig density in East China is significantly lower than that in Henan and Guangdong Provinces, it is understandable that the positivity rate in East China is not as high as those in Central or South China. Interestingly, in a meta-analysis of PCV2 infection rates from 2015 to 2019, the infection rate of PCV2 in East China ranged from 13.5% to 63.5%, which is in line with our findings [47]. Due to the widespread popularity of PRV vaccination, the infection rate of PRV is relatively low. Compared to the prevalence of pathogens in domestic herds in recent years, the low prevalence of infection with PRV suggested that it was not the dominant pathogen causing abortions in sick sows at several pig farms. Therefore, prevention and control should aim to block the spread of ASFV and PCV2 in the field.
5. Conclusions
A TaqMan probe-based multiplex real-time qPCR assay was successfully established to detect ASFV, PCV2, and PRV simultaneously, providing a sensitive and specific tool for the rapid detection of swine viral diseases caused by DNA viruses in the field. The detection results also show that there is no obvious prevalence of mixed infection with ASFV and PCV2 or PRV in East China, indicating that the rate of PRV is declining and that PRV will be potentially eradicated in East China. Of course, the detection of ASFV is still the focus of this work, and we should not neglect the prevention and control of PCV2.
H.L. and J.Z. contributed to the experimental operation and manuscript drafting; J.C. and X.L. contributed to specimen investigation; R.L., L.L., and B.Z. contributed to specimen collection; B.Z., H.L., and J.Z. contributed to data analysis; H.Z., L.L., and B.Z. contributed to manuscript revision and editing. All authors have read and agreed to the published version of the manuscript.
Not applicable.
Not applicable.
Not applicable.
The authors declare no conflict of interest.
Footnotes
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Enlarge this image.Figure 1. Standard curves of the multiplex real-time qPCR. Establishment of a standard curve for TaqMan probe-based multiplex real-time qPCR. The logarithm of the number of copies is the horizontal axis. The vertical axis represents Ct values. Each point represents the mean value of three duplicates of plasmid that have been diluted. The optimal standard formula for ASFV is y = 3.242x + 36.79, with a correlation coefficient of 0.9956; the optimal standard formula for PCV2 is y = 3.365x + 38.52, with a correlation coefficient of 0.9965; and the optimal standard formula for PRV is y = 3.357x + 38.64, with a correlation coefficient of 0.9904.
Enlarge this image.Figure 2. The amplification curves of specificity tests of multiplex real-time qPCR. Only ASFV, PCV2, and PRV exhibited positive fluorescence signals, while other swine pathogens exhibited no fluorescence signals.
Enlarge this image.Figure 3. The amplification curves of the sensitivity test of the multiplex real-time qPCR. Multiple real-time qPCR sensitivity test using 10-fold serial dilutions of recombinant plasmids, with three repetitions of each dilution test. (A): ASFV sensitivity analysis; (B): PCV2 sensitivity analysis; (C): PRV sensitivity analysis.
Primers and probes that were employed for this study.
| Primers and Probes | Sequences |
Length |
Use |
|---|---|---|---|
| ASFV-p72F | CGAAGGGAATGGATACTGA | 563 | Amplification of p72 |
| ASFV-p72R | TGTACCCGGCACAAAGA | ||
| ASFV-p72qF | ACGTTCGCTGCGTATCATTT | 112 | qPCR for detection of p72 |
| ASFV-p72qR | GAGGTATCGGTGGAGGGAAC | ||
| ASFV-probe | FAM- TGCACAAGCCGCACCAAAGCA-TAMRA | ||
| PCV2-CapF | TTACACGGATATTGTATTCCTGGTCG | 295 | Amplification of Cap |
| PCV2-CapR | GTGGGCTCCAGTGCTGTTATTCTA | ||
| PCV2-CapQF | AGTCTCAGCCACAGCTGATT | 128 | qPCR for detection of Cap |
| PCV2-CapQR | TCCTCCCGCCATACCAT | ||
| PCV2-probe | Cy5-AGCCCTTCTCCTACCACTCCCGCT-BHQ2 | ||
| PRV-gEF | GCGGCTGTTTGTGCTG | 413 | Amplification of gE |
| PRV-gER | CATAGTTGGGTCCATTCGT | ||
| PRV-gEqF | GCTCCTTCGTGATGACGTG | 131 | qPCR for detection of gE |
| PRV-gEqR | GTACACCGGAGAGAGCATGT | ||
| PRV-Probe | Texas Red-CTGCGTGCTGTGCTCCCGGC-BHQ2 | ||
| β-ActinqF | CCCTGGAGAAGAGCTACGAG | 175 | qPCR for detection of β-Actin [ |
| β-ActinqR | AGGTCCTTCCTGATGTCCAC | ||
| β-Actin-probe | HEX-CGGCAACGAGCGCTTCCGGT-BHQ1 |
The information of field specimens detected in this study.
| Province | Number | Characteristic | Specimen Type |
|---|---|---|---|
| Jiangsu | 144 | Sows | Lymph nodes, sera, and/or blood |
| Aborted piglets | Lymph nodes and/or placentas | ||
| Anhui | 107 | Sows | Lymph nodes, sera, and/or blood |
| Aborted piglets | Lymph nodes and/or placentas | ||
| Zhejiang | 72 | Sows | Lymph nodes, sera, and/or blood |
| Shandong | 60 | Sows | Lymph nodes, sera, and/or blood |
The Ct values of the specificity tests of the multiplex real-time qPCR.
| Swine Pathogens | Ct Value a | |||
|---|---|---|---|---|
| FAM | HEX | Cy5 | Texas Red | |
| ASFV | 25.22 |
- | - | - |
| PCV2 | - | - | 27.25 |
- |
| PRV | - | - | - | 24.73 |
| PCV1 | - | - | - | - |
| PCV3 | - | - | - | - |
| PCV4 | - | - | - | - |
| CSFV | - | - | - | - |
| JEV | - | - | - | - |
| PPV | - | - | - | - |
| PRRSV | - | - | - | - |
| Chlamydia suis | - | - | - | - |
| Toxoplasma gondii | - | - | - | - |
a Data are shown as means ± SD from three independent experiments.
Repeatability analysis of the multiplex real-time qPCR.
| Plasmid | Concentration |
Intra-Assay | Inter-Assay | ||||
|---|---|---|---|---|---|---|---|
| Mean | S.D. | CV (%) | Mean | S.D. | CV (%) | ||
| pEasy-ASFV | 107 | 15.36 | 0.132 | 0.86 | 15.21 | 0.058 | 0.39 |
| 106 | 18.19 | 0.078 | 0.43 | 18.12 | 0.012 | 0.06 | |
| 105 | 21.44 | 0.083 | 0.39 | 21.57 | 0.073 | 0.34 | |
| 104 | 25.47 | 0.276 | 1.08 | 25.05 | 0.493 | 1.96 | |
| pEasy-PCV2 | 107 | 15.53 | 0.104 | 0.67 | 15.47 | 0.048 | 0.31 |
| 106 | 18.8 | 0.139 | 0.74 | 18.88 | 0.063 | 0.33 | |
| 105 | 20.85 | 0.237 | 1.14 | 21.47 | 0.380 | 1.73 | |
| 104 | 24.76 | 0.297 | 1.20 | 25.04 | 0.203 | 0.81 | |
| pEasy-PRV | 107 | 15.53 | 0.104 | 0.67 | 15.49 | 0.027 | 0.18 |
| 106 | 18.80 | 0.139 | 0.74 | 18.77 | 0.134 | 0.71 | |
| 105 | 20.85 | 0.237 | 1.14 | 20.81 | 0.127 | 0.61 | |
| 104 | 24.76 | 0.297 | 1.20 | 24.70 | 0.134 | 0.54 | |
Detection of field specimens by multiplex real-time qPCR.
| Virus | Positive Specimens a | Infection Rate (%) |
|---|---|---|
| ASFV | 86 | 22.45 |
| PCV2 | 109 | 28.46 |
| PRV | 11 | 2.87 |
| ASFV + PCV2 | 20 | 5.22 |
| ASFV + PRV | 1 | 0.26 |
| PRV + PCV2 | 7 | 1.83 |
| ASFV + PCV2 + PRV | 1 | 0.26 |
| β-Actin | 383 | 100 |
| Total | 383 | / |
a These data represent three independent experiments.
References
1. VanderWaal, K.; Deen, J. Global trends in infectious diseases of swine. Proc. Natl. Acad. Sci. USA; 2018; 115, pp. 11495-11500. [DOI: https://dx.doi.org/10.1073/pnas.1806068115] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30348781]
2. Li, X.; Chen, S.; Zhang, L.; Niu, G.; Zhang, X.; Yang, L.; Ji, W.; Ren, L. Coinfection of Porcine Circovirus 2 and Pseudorabies Virus Enhances Immunosuppression and Inflammation through NF-kappa B, JAK/STAT, MAPK, and NLRP3 Pathways. Int. J. Mol. Sci.; 2022; 23, 4469. [DOI: https://dx.doi.org/10.3390/ijms23084469] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/35457287]
3. Wang, Z.; Chen, J.; Wu, X.; Ma, D.; Zhang, X.; Li, R.; Han, C.; Liu, H.; Yin, X.; Du, Q. et al. PCV2 targets cGAS to inhibit type I interferon induction to promote other DNA virus infection. PLoS Pathog.; 2021; 17, e1009940. [DOI: https://dx.doi.org/10.1371/journal.ppat.1009940] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/34543359]
4. Mighell, E.; Ward, M.P. African Swine Fever spread across Asia, 2018–2019. Transbound. Emerg. Dis.; 2021; 68, pp. 2722-2732. [DOI: https://dx.doi.org/10.1111/tbed.14039]
5. Ge, X.; Wang, F.; Guo, X.; Yang, H. Porcine circovirus type 2 and its associated diseases in China. Virus Res.; 2012; 164, pp. 100-106. [DOI: https://dx.doi.org/10.1016/j.virusres.2011.10.005]
6. Liu, Q.; Kuang, Y.; Li, Y.; Guo, H.; Zhou, C.; Guo, S.; Tan, C.; Wu, B.; Chen, H.; Wang, X. The Epidemiology and Variation in Pseudorabies Virus: A Continuing Challenge to Pigs and Humans. Viruses; 2022; 14, 1463. [DOI: https://dx.doi.org/10.3390/v14071463]
7. Dixon, L.K.; Sun, H.; Roberts, H. African swine fever. Antivir. Res.; 2019; 165, pp. 34-41. [DOI: https://dx.doi.org/10.1016/j.antiviral.2019.02.018]
8. Huang, Y.; Li, J.; Zhang, J.; Jin, Z. Dynamical analysis of the spread of African swine fever with the live pig price in China. Math. Biosci. Eng. MBE; 2021; 18, pp. 8123-8148. [DOI: https://dx.doi.org/10.3934/mbe.2021403]
9. Dixon, L.K.; Chapman, D.A.; Netherton, C.L.; Upton, C. African swine fever virus replication and genomics. Virus Res.; 2013; 173, pp. 3-14. [DOI: https://dx.doi.org/10.1016/j.virusres.2012.10.020]
10. Wang, Z.; Ai, Q.; Huang, S.; Ou, Y.; Gao, Y.; Tong, T.; Fan, H. Immune Escape Mechanism and Vaccine Research Progress of African Swine Fever Virus. Vaccines; 2022; 10, 344. [DOI: https://dx.doi.org/10.3390/vaccines10030344]
11. Liu, S.; Luo, Y.; Wang, Y.; Li, S.; Zhao, Z.; Bi, Y.; Sun, J.; Peng, R.; Song, H.; Zhu, D. et al. Cryo-EM Structure of the African Swine Fever Virus. Cell Host Microbe; 2019; 26, pp. 836-843. [DOI: https://dx.doi.org/10.1016/j.chom.2019.11.004]
12. Rakibuzzaman, A.G.M.; Ramamoorthy, S. Comparative immunopathogenesis and biology of recently discovered porcine circoviruses. Transbound. Emerg. Dis.; 2021; 68, pp. 2957-2968. [DOI: https://dx.doi.org/10.1111/tbed.14244]
13. Chen, S.; Zhang, L.; Li, X.; Niu, G.; Ren, L. Recent Progress on Epidemiology and Pathobiology of Porcine Circovirus 3. Viruses; 2021; 13, 1944. [DOI: https://dx.doi.org/10.3390/v13101944]
14. Ouyang, T.; Zhang, X.; Liu, X.; Ren, L. Co-Infection of Swine with Porcine Circovirus Type 2 and Other Swine Viruses. Viruses; 2019; 11, 185. [DOI: https://dx.doi.org/10.3390/v11020185]
15. Wen, L.; He, K. Genomic Rearrangement and Recombination of Porcine Circovirus Type 2 and Porcine Circovirus-Like Virus P1 in China. Front. Vet. Sci.; 2021; 8, 736366. [DOI: https://dx.doi.org/10.3389/fvets.2021.736366]
16. Liu, Q.; Wang, X.; Xie, C.; Ding, S.; Yang, H.; Guo, S.; Li, J.; Qin, L.; Ban, F.; Wang, D. et al. A Novel Human Acute Encephalitis Caused by Pseudorabies Virus Variant Strain. Clin. Infect. Dis.; 2021; 73, pp. e3690-e3700. [DOI: https://dx.doi.org/10.1093/cid/ciaa987]
17. He, W.; Auclert, L.Z.; Zhai, X.; Wong, G.; Zhang, C.; Zhu, H.; Xing, G.; Wang, S.; He, W.; Li, K. et al. Interspecies Transmission, Genetic Diversity, and Evolutionary Dynamics of Pseudorabies Virus. J. Infect. Dis.; 2019; 219, pp. 1705-1715. [DOI: https://dx.doi.org/10.1093/infdis/jiy731]
18. Tong, W.; Liu, F.; Zheng, H.; Liang, C.; Zhou, Y.J.; Jiang, Y.F.; Shan, T.L.; Gao, F.; Li, G.X.; Tong, G.Z. Emergence of a Pseudorabies virus variant with increased virulence to piglets. Vet. Microbiol.; 2015; 181, pp. 236-240. [DOI: https://dx.doi.org/10.1016/j.vetmic.2015.09.021]
19. An, T.Q.; Peng, J.M.; Tian, Z.J.; Zhao, H.Y.; Li, N.; Liu, Y.M.; Chen, J.Z.; Leng, C.L.; Sun, Y.; Chang, D. et al. Pseudorabies virus variant in Bartha-K61-vaccinated pigs, China, 2012. Emerg. Infect. Dis.; 2013; 19, pp. 1749-1755. [DOI: https://dx.doi.org/10.3201/eid1911.130177]
20. Sun, Y.; Luo, Y.; Wang, C.H.; Yuan, J.; Li, N.; Song, K.; Qiu, H.J. Control of swine pseudorabies in China: Opportunities and limitations. Vet. Microbiol.; 2016; 183, pp. 119-124. [DOI: https://dx.doi.org/10.1016/j.vetmic.2015.12.008]
21. Zhao, K.; Shi, W.; Han, F.; Xu, Y.; Zhu, L.; Zou, Y.; Wu, X.; Zhu, H.; Tan, F.; Tao, S. et al. Specific, simple and rapid detection of porcine circovirus type 2 using the loop-mediated isothermal amplification method. Virol. J.; 2011; 8, 126. [DOI: https://dx.doi.org/10.1186/1743-422X-8-126] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/21414233]
22. Yang, Y.; Qin, X.; Sun, Y.; Cong, G.; Li, Y.; Zhang, Z. Development of Isothermal Recombinase Polymerase Amplification Assay for Rapid Detection of Porcine Circovirus Type 2. Bio. Res. Int.; 2017; 2017, 8403642. [DOI: https://dx.doi.org/10.1155/2017/8403642] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/28424790]
23. Wu, Y.; Yang, Y.; Ru, Y.; Qin, X.; Li, M.; Zhang, Z.; Zhang, R.; Li, Y.; Zhang, Z.; Li, Y. The Development of a Real-Time Recombinase-Aid Amplification Assay for Rapid Detection of African Swine Fever Virus. Front. Microbiol.; 2022; 13, 846770. [DOI: https://dx.doi.org/10.3389/fmicb.2022.846770] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/35369479]
24. Fan, X.; Li, L.; Zhao, Y.; Liu, Y.; Liu, C.; Wang, Q.; Dong, Y.; Wang, S.; Chi, T.; Song, F. et al. Clinical Validation of Two Recombinase-Based Isothermal Amplification Assays (RPA/RAA) for the Rapid Detection of African Swine Fever Virus. Front. Microbiol.; 2020; 11, 1696. [DOI: https://dx.doi.org/10.3389/fmicb.2020.01696] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/32793160]
25. Ilya, T.; Monoldorova, S.; Kang, S.; Yun, S.; Byeon, H.; Mariia, N.; Jeon, B. Development of a Real-Time Recombinase Polymerase Amplification Assay for the Rapid Detection of African Swine Fever Virus Genotype I and II. Pathogens; 2022; 11, 439. [DOI: https://dx.doi.org/10.3390/pathogens11040439]
26. Wang, D.; Yu, J.; Wang, Y.; Zhang, M.; Li, P.; Liu, M.; Liu, Y. Development of a real-time loop-mediated isothermal amplification (LAMP) assay and visual LAMP assay for detection of African swine fever virus (ASFV). J. Virol. Methods; 2020; 276, 113775. [DOI: https://dx.doi.org/10.1016/j.jviromet.2019.113775]
27. En, F.; Wei, X.; Jian, L.; Qin, C. Loop-mediated isothermal amplification establishment for detection of pseudorabies virus. J. Virol. Methods; 2008; 151, pp. 35-39. [DOI: https://dx.doi.org/10.1016/j.jviromet.2008.03.028]
28. Lei, L.; Liao, F.; Tan, L.; Duan, D.; Zhan, Y.; Wang, N.; Wang, Y.; Peng, X.; Wang, K.; Huang, X. et al. LAMP Coupled CRISPR-Cas12a Module for Rapid, Sensitive and Visual Detection of Porcine Circovirus 2. Animals; 2022; 12, 2413. [DOI: https://dx.doi.org/10.3390/ani12182413]
29. Hu, L.; Lin, X.Y.; Yang, Z.X.; Yao, X.P.; Li, G.L.; Peng, S.Z.; Wang, Y. A multiplex PCR for simultaneous detection of classical swine fever virus, African swine fever virus, highly pathogenic porcine reproductive and respiratory syndrome virus, porcine reproductive and respiratory syndrome virus and pseudorabies in swines. Pol. J. Vet. Sci.; 2015; 18, pp. 715-723. [DOI: https://dx.doi.org/10.1515/pjvs-2015-0093]
30. Zhao, J.; Shi, B.; Huang, X.; Peng, M.; Zhang, X.; He, D.; Pang, R.; Zhou, B.; Chen, P. A multiplex RT-PCR assay for rapid and differential diagnosis of four porcine diarrhea associated viruses in field specimens from pig farms in East China from 2010 to 2012. J. Virol. Methods; 2013; 194, pp. 107-112. [DOI: https://dx.doi.org/10.1016/j.jviromet.2013.08.008]
31. Chamberlain, J.S.; Gibbs, R.A.; Ranier, J.E.; Nguyen, P.N.; Caskey, C.T. Deletion screening of the Duchenne muscular dystrophy locus via multiplex DNA amplification. Nucleic Acids Res.; 1988; 16, pp. 11141-11156. [DOI: https://dx.doi.org/10.1093/nar/16.23.11141]
32. Haines, F.J.; Hofmann, M.A.; King, D.P.; Drew, T.W.; Crooke, H.R. Development and validation of a multiplex, real-time RT PCR assay for the simultaneous detection of classical and African swine fever viruses. PLoS ONE; 2013; 8, e71019. [DOI: https://dx.doi.org/10.1371/journal.pone.0071019]
33. Zou, J.; Liu, H.; Chen, J.; Zhang, J.; Li, X.; Long, Y.; Jiang, Y.; Li, W.; Zhou, B. Development of a TaqMan-Probe-Based Multiplex Real-Time PCR for the Simultaneous Detection of Porcine Circovirus 2, 3, and 4 in East China from 2020 to 2022. Vet. Sci.; 2023; 10, 29. [DOI: https://dx.doi.org/10.3390/vetsci10010029]
34. Wang, Y.; Xu, L.; Noll, L.; Stoy, C.; Porter, E.; Fu, J.; Feng, Y.; Peddireddi, L.; Liu, X.; Dodd, K.A. et al. Development of a real-time PCR assay for detection of African swine fever virus with an endogenous internal control. Transbound. Emerg. Dis.; 2020; 67, pp. 2446-2454. [DOI: https://dx.doi.org/10.1111/tbed.13582]
35. Huang, Y.L.; Pang, V.F.; Pan, C.H.; Chen, T.H.; Jong, M.H.; Huang, T.S.; Jeng, C.R. Development of a reverse transcription multiplex real-time PCR for the detection and genotyping of classical swine fever virus. J. Virol. Methods; 2009; 160, pp. 111-118. [DOI: https://dx.doi.org/10.1016/j.jviromet.2009.04.029]
36. Sun, Y.; Xu, Z.; Gao, H.; Xu, S.; Liu, J.; Xing, J.; Kuang, Q.; Chen, Y.; Wang, H.; Zhang, G. Detection of a Novel African Swine Fever Virus with Three Large-Fragment Deletions in Genome, China. Microbiol. Spectr.; 2022; 10, e215522. [DOI: https://dx.doi.org/10.1128/spectrum.02155-22]
37. Sun, E.; Huang, L.; Zhang, X.; Zhang, J.; Shen, D.; Zhang, Z.; Wang, Z.; Huo, H.; Wang, W.; Huangfu, H. et al. Genotype I African swine fever viruses emerged in domestic pigs in China and caused chronic infection. Emerg. Microbes Infect.; 2021; 10, pp. 2183-2193. [DOI: https://dx.doi.org/10.1080/22221751.2021.1999779]
38. Salogni, C.; Lazzaro, M.; Giacomini, E.; Giovannini, S.; Zanoni, M.; Giuliani, M.; Ruggeri, J.; Pozzi, P.; Pasquali, P.; Boniotti, M.B. et al. Infectious agents identified in aborted swine fetuses in a high-density breeding area: A three-year study. J. Vet. Diagn. Investig.; 2016; 28, pp. 550-554. [DOI: https://dx.doi.org/10.1177/1040638716656024]
39. Kadam, U.S.; Lossie, A.C.; Schulz, B.; Irudayaraj, J. Gene Expression Analysis Using Conventional and Imaging Methods. In DNA and RNA Nanobiotechnologies. Medicine: Diagnosis and Treatment of Diseases; Erdmann, V.A.; Barciszewski, J. Springer: Berlin/Heidelberg, Germany, 2013; pp. 141-162.
40. Zhao, K.; Shi, K.; Zhou, Q.; Xiong, C.; Mo, S.; Zhou, H.; Long, F.; Wei, H.; Hu, L.; Mo, M. The Development of a Multiplex Real-Time Quantitative PCR Assay for the Differential Detection of the Wild-Type Strain and the MGF505-2R, EP402R and I177L Gene-Deleted Strain of the African Swine Fever Virus. Animals; 2022; 12, 1754. [DOI: https://dx.doi.org/10.3390/ani12141754]
41. Cheng, T.Y.; Henao-Diaz, A.; Poonsuk, K.; Buckley, A.; van Geelen, A.; Lager, K.; Harmon, K.; Gauger, P.; Wang, C.; Ambagala, A. et al. Pseudorabies (Aujeszky’s disease) virus DNA detection in swine nasal swab and oral fluid specimens using a gB-based real-time quantitative PCR. Prev. Vet. Med.; 2021; 189, 105308. [DOI: https://dx.doi.org/10.1016/j.prevetmed.2021.105308]
42. Zhao, S.; Lin, H.; Chen, S.; Yang, M.; Yan, Q.; Wen, C.; Hao, Z.; Yan, Y.; Sun, Y.; Hu, J. et al. Sensitive detection of Porcine circovirus-2 by droplet digital polymerase chain reaction. J. Vet. Diagn. Investig.; 2015; 27, pp. 784-788. [DOI: https://dx.doi.org/10.1177/1040638715608358] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/26391713]
43. Zhou, X.; Li, N.; Luo, Y.; Liu, Y.; Miao, F.; Chen, T.; Zhang, S.; Cao, P.; Li, X.; Tian, K. et al. Emergence of African Swine Fever in China, 2018. Transbound. Emerg. Dis.; 2018; 65, pp. 1482-1484. [DOI: https://dx.doi.org/10.1111/tbed.12989] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30102848]
44. Zheng, G.; Lu, Q.; Wang, F.; Xing, G.; Feng, H.; Jin, Q.; Guo, Z.; Teng, M.; Hao, H.; Li, D. et al. Phylogenetic analysis of porcine circovirus type 2 (PCV2) between 2015 and 2018 in Henan Province, China. BMC Vet. Res.; 2020; 16, 6. [DOI: https://dx.doi.org/10.1186/s12917-019-2193-1] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/31910824]
45. Xu, T.; Hou, C.Y.; Zhang, Y.H.; Li, H.X.; Chen, X.M.; Pan, J.J.; Chen, H.Y. Simultaneous detection and genetic characterization of porcine circovirus 2 and 4 in Henan province of China. Gene; 2022; 808, 145991. [DOI: https://dx.doi.org/10.1016/j.gene.2021.145991]
46. Nan, W.; Wu, J.; Hu, H.; Peng, G.; Tan, S.; Deng, Z. Prevalence and genetic diversity of porcine circovirus type 2 in northern Guangdong Province during 2016–2021. Front. Vet. Sci.; 2022; 9, 932612. [DOI: https://dx.doi.org/10.3389/fvets.2022.932612]
47. Liu, Y.; Gong, Q.; Nie, L.; Wang, Q.; Ge, G.; Li, D.; Ma, B.; Sheng, C.; Su, N.; Zong, Y. et al. Prevalence of porcine circovirus 2 throughout China in 2015–2019: A systematic review and meta-analysis. Microb. Pathog.; 2020; 149, 104490. [DOI: https://dx.doi.org/10.1016/j.micpath.2020.104490]
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Details
; Zhou, Bin 1
1 MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
2 Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730000, China
3 College of Animal Science and Technology, College of Veterinary Medicine, Zhejiang A&F University, Hangzhou 311300, China