The development of a sensitive droplet digital PCR for quantitative detection of porcine reproductive and respiratory syndrome virus

The Development of a Sensitive Droplet Digital Polymerase Chain Reaction Test for Quantitative Detection of Goose Astrovirus

(1) Goose astrovirus (GAstV) is a novel emerging pathogen that causes significant economic losses in waterfowl farming. A convenient, sensitive, and specific detection method for GAstV in field samples is important in order to effectively control GAstV. Droplet digital polymerase chain reaction (ddPCR) is a novel, sensitive, good-precision, and absolute quantitation PCR technology which does not require calibration curves. (2) In this study, we developed a ddPCR system for the sensitive and accurate quantification of GAstV using the conserved region of the ORF2 gene. (3) The detection limit of ddPCR was 10 copies/µL, ~28 times greater sensitivity than quantitative real-time PCR (qPCR). The specificity of the test was determined by the failure of amplification of other avian viruses. Both ddPCR and qPCR tests showed good repeatability and linearity, and the established ddPCR method had high sensitivity and good specificity to GAstV. Clinical sample test results showed that the positive rate of ddPCR (88.89%) was higher than that of qPCR (58.33%). (4) As a result, our results suggest that the newly developed ddPCR method might offer improved analytical sensitivity and specificity in its GAstV measurements. The ddPCR could be widely applied in clinical tests for GAstV infections.

Designing and Validation of a Droplet Digital PCR Procedure for Diagnosis and Accurate Quantification of Nervous Necrosis Virus in the Mediterranean Area

The viral nervous necrosis virus (VNNV) is the causative agent of an important disease affecting fish species cultured worldwide. Early and accurate diagnosis is, at present, the most effective control and prevention tool, and molecular techniques have been strongly introduced and accepted by official organizations. Among those, real-time quantitative polymerase chain reaction (rt-qPCR) is nowadays displacing other molecular techniques. However, another PCR-based technology, droplet digital PCR (ddPCR), is on the increase. It has many advantages over qPCR, such as higher sensitivity and more reliability of the quantification. Therefore, we decided to design and validate a protocol for the diagnosis and quantification of SJ and RG type VNNV using reverse transcription-ddPCR (RT-ddPCR). We obtained an extremely low limit of detection, 10- to 100-fold lower than with RT-qPCR. Quantification by RT-ddPCR, with a dynamic range of 6.8-6.8 × 104 (SJ type) or 1.04 × 101-1.04 × 105 (RG type) cps/rctn, was more reliable than with RT-qPCR. The procedure was tested and validated in field samples, providing high clinical sensitivity and negative predictive values. In conclusion, we propose this method to substitute RT-qPCR protocols because it exceeds the expectations of qPCR in the diagnosis and quantification of VNNV.

Research Progress on the detection methods of porcine reproductive and respiratory syndrome virus

Porcine reproductive and respiratory syndrome virus (PRRSV) causes clinical syndromes typified as reproductive disorders in sows and respiratory diseases in piglets. PRRSV remains one of the most prevalent pathogens affecting the pig industry, because of its complex infection profile and highly heterogeneous genetic and recombination characteristics. Therefore, a rapid and effective PRRSV detection method is important for the prevention and control of PRRS. With extensive in-depth research on PRRSV detection methods, many detection methods have been improved and promoted. Laboratory methods include techniques based on virus isolation (VI), enzyme-linked immunosorbent assays (ELISA), indirect immunofluorescence assays (IFA), immunoperoxidase monolayer assays (IPMA), polymerase chain reaction (PCR), quantitative real-time PCR (qPCR), digital PCR (dPCR), loop-mediated isothermal amplification (LAMP), recombinase polymerase amplification (RPA), clustered regularly interspaced short palindromic repeats (CRISPR), metagenomic next-generation sequencing (mNGS), and other methods. This study reviews the latest research on improving the main PRRSV detection methods and discusses their advantages and disadvantages.

Development of a Multiplex Crystal Digital RT-PCR for Differential Detection of Classical, Highly Pathogenic, and NADC30-like Porcine Reproductive and Respiratory Syndrome Virus

Porcine reproductive and respiratory syndrome virus (PRRSV) type 1 (European genotype) and PRRSV type 2 (North American genotype) are prevalent all over the world. Nowadays, the North American genotype PRRSV (NA-PRRSV) has been widely circulating in China and has caused huge economic losses to the pig industry. In recent years, classical PRRSV (C-PRRSV), highly pathogenic PRRSV (HP-PRRSV), and NADC30-like PRRSV (NL-PRRSV) have been the most common circulating strains in China. In order to accurately differentiate the circulating strains of NA-PRRSV, three pairs of specific primers and corresponding probes were designed for the Nsp2 region of C-PRRSV, HP-PRRSV, and NL-PRRSV. After optimizing the annealing temperature, primer concentration, and probe concentration, a multiplex real-time quantitative RT-PCR (qRT-PCR) and a multiplex Crystal digital RT-PCR (cdRT-PCR) for the differential detection of C-PRRSV, HP-PRRSV, and NL-PRRSV were developed. The results showed that the two assays illustrated high sensitivity, with a limit of detection (LOD) of 3.20 × 10⁰ copies/μL for the multiplex qRT-PCR and 3.20 × 10^-1 copies/μL for the multiplex cdRT-PCR. Both assays specifically detected the targeted viruses, without cross-reaction with other swine viruses, and indicated excellent repeatability, with coefficients of variation (CVs) of less than 1.26% for the multiplex qRT-PCR and 2.68% for the multiplex cdRT-PCR. Then, a total of 320 clinical samples were used to evaluate the application of these assays, and the positive rates of C-PRRSV, HP-PRRSV, and NL-PRRSV by the multiplex qRT-PCR were 1.88%, 21.56%, and 9.69%, respectively, while the positive rates by the multiplex cdRT-PCR were 2.19%, 25.31%, and 11.56%, respectively. The high sensitivity, strong specificity, excellent repeatability, and reliability of these assays indicate that they could provide useful tools for the simultaneous and differential detection of the circulating strains of C-PRRSV, HP-PRRSV, and NL-PRRSV in the field.

A Multiplex Crystal Digital PCR for Detection of African Swine Fever Virus, Classical Swine Fever Virus, and Porcine Reproductive and Respiratory Syndrome Virus

African swine fever (ASF), classical swine fever (CSF), and porcine reproductive and respiratory syndrome (PRRS) are highly infectious diseases of domestic pigs and wild boars. The co-infections of ASF virus (ASFV), CSF virus (CSFV), and PRRS virus (PRRSV) have been reported in different pig farms. Early differential detection and diagnosis of ASFV, CSFV, and PRRSV in the clinical samples is very important for the effective prevention and control of these diseases. A multiplex crystal digital PCR (dPCR) was developed for differential detection of ASFV, CSFV, and PRRSV in this study, targeting p72, 5' untranslated region (UTR), and ORF7 genes, respectively. The different reaction conditions were optimized, and the specificity, sensitivity, and repeatability of the assay were evaluated. The results showed that the multiplex crystal dPCR was able to accurately and differentially detect ASFV, CSFV, and PRRSV with a limit of detection of 4.69 × 10⁻¹ copies/μl, respectively, and could not detect other porcine viruses, i.e., foot-and-mouth disease virus (FMDV), Senecavirus A (SVA), atypical porcine pestivirus (APPV), pseudorabies virus (PRV), porcine circovirus type 2 (PCV2), and porcine parvovirus (PPV). The assay showed excellent repeatability and reproducibility, with coefficients of variation (CV) of the intra- and inter-assay from 0.09 to 1.40%, and from 0.64 to 2.26%, respectively. The 289 clinical samples from different pig herds in Guangxi province, China, were tested by the multiplex crystal dPCR and a reference multiplex real-time quantitative RT-PCR (qRT-PCR) established previously in our laboratory. The positive rates of ASFV, CSFV, and PRRSV were 30.10, 13.49, and 22.49% by the multiplex crystal dPCR, and 24.57, 8.65, and 18.34% by the multiplex qRT-PCR, with coincidence rates of 94.66, 95.16, and 95.84%, respectively. The results indicated that the established multiplex crystal dPCR was a specific, sensitive, and accurate method for the detection and quantification of ASFV, CSFV, and PRRSV. This is the first report on the multiplex dPCR for detecting ASFV, CSFV, and PRRSV.

Highly Sensitive CRISPR/Cas12a-Based Fluorescence Detection of Porcine Reproductive and Respiratory Syndrome Virus

Porcine reproductive and respiratory syndrome (PRRS) is an economically important disease of swine that is caused by PRRS virus (PRRSV). In this study, we established a fluorescence assay for highly sensitive detection of PRRSV through integration of the reverse transcription-recombinase polymerase amplification (RT-RPA)-coupled Cas12a system with an optical property of single stranded DNA-fluorescently quenched (ssDNA-FQ) reporter. This technique can achieve isothermal and visual detection of PRRSV in 25 min. In particular, the assay reaction can be completed in a single tube. The limit of sensitivity for PRRSV detection was single copy without cross-reactivity of other porcine viruses. Correlation between 11 PRRSV clinical samples measured by the quantitative reverse transcription polymerase chain reaction (RT-qPCR) and CRISPR/Cas12a assay was determined; the result showed that our results were highly accurate. To sum up, this study developed a visual, sensitive, and specific method of nucleic acid detection based on a CRISPR-Cas12a technique for the on-site detection of PRRSV.

Competitiveness of Quantitative Polymerase Chain Reaction (qPCR) and Droplet Digital Polymerase Chain Reaction (ddPCR) Technologies, with a Particular Focus on Detection of Antibiotic Resistance Genes (ARGs)

With fast-growing polymerase chain reaction (PCR) technologies and various application methods, the technique has benefited science and medical fields. While having strengths and limitations on each technology, there are not many studies comparing the efficiency and specificity of PCR technologies. The objective of this review is to summarize a large amount of scattered information on PCR technologies focused on the two majorly used technologies: qPCR (quantitative polymerase chain reaction) and ddPCR (droplet-digital polymerase chain reaction). Here we analyze and compare the two methods for (1) efficiency, (2) range of detection and limitations under different disciplines and gene targets, (3) optimization, and (4) status on antibiotic resistance genes (ARGs) analysis. It has been identified that the range of detection and quantification limit varies depending on the PCR method and the type of sample. Careful optimization of target gene analysis is essential for building robust analysis for both qPCR and ddPCR. In our era where mutation of genes may lead to a pandemic of viral infectious disease or antibiotic resistance-induced health threats, this study hopes to set guidelines for meticulous detection, quantification, and analysis to help future prevention and protection of global health, the economy, and ecosystems.

Quantification of rhizomania virus by automated RNA isolation and PCR based methods in sugar beet

Rhizomania is a grave disease affecting sugar beet (Beta vulgaris L.). It is caused by the Beet Necrotic Yellow Vein Virus (BNYVV), an RNA virus transmitted by the plasmodiophorid vector Polymyxa betae. Genetic resistance to the virus has been accomplished mostly using phenotype-genotype association studies. As yet, the most convenient method to ascertain plant resistance has been the quantification of viral titer in roots through the ELISA test. This method is particularly time-consuming and clashes with the necessities of modern plant breeding. Here, we propose an alternative and successful phenotyping method based on the automatic extraction of the viral RNA from sugar beet roots and its relative and absolute quantification by quantitative real-time PCR (qRT-PCR) and digital PCR (dPCR), respectively. Such a method enables an improved standardization of the study, as well as an accurate quantification of the virus also in those samples presenting low virus titer, with respect to the ELISA test.

Simultaneous Detection and Viral DNA Load Quantification of Different Human Papillomavirus Types in Clinical Specimens by the High Analytical Droplet Digital PCR Method

Human papillomaviruses (HPVs) are small DNA tumor viruses that mainly infect mucosal epithelia of anogenital and upper respiratory tracts. There has been progressive demand for more analytical assays for HPV DNA quantification. A novel droplet digital PCR (ddPCR) method was developed to simultaneously detect and quantify HPV DNA from different HPV types. DdPCR was initially tested for assay sensitivity, accuracy, specificity as well as intra- and inter-run assay variation employing four recombinant plasmids containing HPV16, HPV18, HPV11, and HPV45 DNAs. The assay was extended to investigate/quantify HPV DNA in Cervical Intraepithelial Neoplasia (CIN, n = 45) specimens and human cell lines (n = 4). DdPCR and qPCR data from clinical samples were compared. The assay showed high accuracy, sensitivity and specificity, with low intra-/inter- run variations, in detecting/quantifying HPV16/18/11/45 DNAs. HPV DNA was detected in 51.1% (23/45) CIN DNA samples by ddPCR, whereas 40% (18/45) CIN tested HPV-positive by qPCR. Five CIN, tested positive by ddPCR, were found to be negative by qPCR. In CIN specimens, the mean HPV DNA loads determined by ddPCR were 3.81 copy/cell (range 0.002-51.02 copy/cell), whereas 8.04 copy/cell (range 0.003-78.73 copy/cell) by qPCR. DdPCR and qPCR concordantly detected HPV DNA in SiHa, CaSki and Hela cells, whereas HaCaT tested HPV-negative. The correlation between HPV DNA loads simultaneously detected by ddPCR/qPCR in CINs/cell lines was good (R 2 = 0.9706, p < 0.0001). Our data indicate that ddPCR is a valuable technique in quantifying HPV DNA load in CIN specimens and human cell lines, thereby improving clinical applications, such as patient management after primary diagnosis of HPV-related lesions with HPV-type specific assays.

Development of a bead-based assay for detection and differentiation of field strains and four vaccine strains of type 2 porcine reproductive and respiratory syndrome virus (PRRSV-2) in the USA

Porcine reproductive and respiratory syndrome (PRRS) remains one of the most economically devastating diseases in swine population in the United States of America. Due to high mutation rate of the PRRS virus (PRRSV) genome, it is difficult to develop an accurate diagnostic assay with high strain coverage. Differentiation of field strains from the four vaccines that have been used in the USA, namely Ingelvac PRRS MLV, Ingelvac ATP, Fostera PRRS and Prime Pac PRRS, adds an additional challenge. It is difficult to use current real-time PCR systems to detect and differentiate the field strains from the vaccine strains. Luminex xTAG technology allows us to detect more molecular targets in a single reaction with a cost similar to a single real-time PCR reaction. By analysing all available 678 type 2 PRRSV (PRRSV-2) complete genome sequences, including the 4 vaccine strains, two pairs of detection primers were designed targeting the conserved regions of ORF4-ORF7, with strain coverage of 98.8% (670/678) based on in silico analysis. The virus strains sharing ≥98% identity of the complete genomes with the vaccine strains were considered vaccine or vaccine-like strains. One pair of primers for each vaccine strain were designed targeting the nsp2 region. In silico analysis showed the assay matched 94.7% (54/57) of Ingelvac PRRS^® MLV (MLV) strain and the MLV-like strains, and 100% of the other three vaccine strains. Analytical sensitivity of the Luminex assay was one to two logs lower than that of the reverse transcription real-time PCR assay. Evaluated with 417 PRRSV-2 positive clinical samples, 95% were detected by the Luminex assay. Compared to ORF5 sequencing results, the Luminex assay detected 92.4% (73/79) of MLV strains, 78.3% (18/23) of Fostera strains and 50% (2/4) of ATP strains. None of the 472 samples were the Prime Pac strain tested by either ORF5 sequencing or the Luminex assay.

Simultaneous detection of porcine reproductive and respiratory syndrome virus and porcine circovirus 3 by SYBR Green І-based duplex real-time PCR

The SYBR Green І-based duplex real-time PCR assay was developed for simultaneous detection of porcine reproductive and respiratory syndrome virus (PRRSV) and porcine circovirus 3 (PCV-3) genomes. PRRSV and PCV-3 were distinguished in the same sample by their distinctive melting temperature (Tm) which was 84 °C for PRRSV and 81.5 °C for PCV-3, and other non-targeted swine viruses showed no specific melting peaks. The detection limits of this assay were 46.1copies/μL for PRRSV and 49.3copies/μL for PCV-3, respectively. Thirty-three lung samples of porcine with respiratory and reproductive failure symptoms were collected and confirmed by the SYBR Green І-based real-time PCR assay and conventional PCR assay. The real-time PCR detection results showed that the PRRSV positive rate was 45.45%, the PCV-3 positive rate was 63.63%, the PRRSV and PCV-3 co-infection positive rate was 36.36%, which were more sensitive than conventional PCR detection. This duplex real-time PCR assay could be a rapid, sensitive and reliable method for the detection of PRRSV and PCV-3 co-infection.

Visual detection of porcine reproductive and respiratory syndrome virus using CRISPR-Cas13a

Porcine reproductive and respiratory syndrome virus (PRRSV) has varied constantly and circulated in the pig industry worldwide. The prevention and control of porcine reproductive and respiratory syndrome (PRRS) is complicated. A visual, sensitive and specific diagnostic method is advantageous to the control of PRRS. The collateral cleavage activity of LwCas13a is activated to degrade non-targeted RNA, when crRNA of LwCas13a bond to target RNA. The enhanced Cas13a detection is the combination of collateral cleavage activity of LwCas13a and recombinase polymerase amplification (RPA). In this study, the enhanced Cas13a detection for PRRSV was established. The novel method was an isothermal detection at 37°C, and the detection can be used for real-time analysis or visual readout. The detection limit of the enhanced Cas13a detection was 172 copies/μl, and there were no cross-reactions with porcine circovirus 2, porcine parvovirus, classical swine fever virus and pseudorabies virus. The enhanced Cas13a detection can work well in clinical samples. In summary, a visual, sensitive and specific nucleic acid detection method based on CRISPR-Cas13a was developed for PRRSV.

Droplet-digital PCR assay to detect Merkel cell polyomavirus sequences in chorionic villi from spontaneous abortion affected females

Droplet-digital polymerase chain reaction (ddPCR) technique was set up to detect/quantify Merkel cell polyomavirus (MCPyV) DNA in clinical specimens, including chorionic villi and peripheral blood mononuclear cells (PBMCs) from spontaneous abortion (SA)-affected females. This ddPCR assay showed high accuracy, sensitivity, and specificity in detecting MCPyV DNA cloned in a recombinant plasmid vector, the control. ddPCR was extended to MCPyV DNA to investigate/quantify its sequences in clinical samples. Overall, 400 samples were analyzed, that is, 100 chorionic villi and 100 PBMCs, from SA females (n = 100), the cases, and 100 chorionic villi and 100 PBMCs from females who underwent voluntary pregnancy interruption (VI, n = 100), the control. MCPyV DNA was detected in 4/100 (4%) and 5/100 (5%) of SA and VI chorionic villi, respectively. The mean viral DNA load was 1.99 ( ± 0.94 standard mean deviation [SD]) copy/10⁴ cells in SA and 3.02 ( ± 1.86 [SD]) copy/10⁴ cells in VI. In PBMCs, MCPyV DNA was revealed in 9/100 (9%) and 14/100 (14%) of SA and VI, with a mean of 2.09 ( ± 1.17 [SD]) copy/10⁴ cells and 4.09 ( ± 4.26 [SD]) copy/10⁴ cells in SA and VI, respectively. MCPyV gene expression analysis by quantitative PCR for the large T antigen (LT) and viral capsid protein 1 (VP1) showed their mRNAs in 2/4 (50%) SA- and 2/5 (40%) VI-MCPyV-positive samples. MCPyV DNA was detected/quantified using the ddPCR technique, in chorionic villi and PBMCs from SA and VI. In our experimental conditions, ddPCR provided a powerful tool to detect/quantify MCPyV DNA sequences in clinical samples.

Reverse transcriptase droplet digital PCR to identify the emerging vesicular virus Senecavirus A in biological samples

Senecavirus A (SVA) belonging to the family Picornaviridae, genus Senecavirus was incidentally isolated in 2002 from the PER.C6 (transformed foetal retinoblast) cell line. However, currently, this virus is associated with vesicular disease in swine and it has been reported in countries such as the United States of America, Canada, China, Thailand and Colombia. In Brazil, the SVA was firstly reported in 2015 in outbreaks of vesicular disease in swine, clinically indistinguishable of Foot-and-mouth disease, a contagious viral disease that generates substantial economic losses. In the present work, it was standardized a diagnostic tool for SVA based on RNA reverse transcriptase droplet digital PCR (RT-ddPCR) using one-step and two-step approaches. Analytical sensitivity and specificity were done in parallel with real-time PCR, RT-qPCR (one-step and two-step) for comparison of sensitivity and specificity of both methods. In the standardization of RT-ddPCR, the double-quenched probe and the temperature gradient were crucial to reduce background and improve amplitude between positive and negative droplets. The limit of detection and analytical specificity of techniques of one-step techniques showed superior performance than two-step methods described here. Additionally, the results showed 94.2% concordance (p < 0.001) for RT-ddPCR and RT-qPCR using the one-step assay approach and biological samples from Brazilian outbreaks of Senecavirus A. However, ddRT-PCR had a better performance than RT-PCR when swine serum pools were tested. According to the results, the one-step RT-ddPCR and RT-qPCR is highlighted to be used as an auxiliary diagnostic tool for Senecavirus A and for viral RNA absolute quantification in biological samples (RT-ddPCR), being a useful tool for vesicular diseases control programs.

Methodologies for Assessing Disease Tolerance in Pigs

Features of intensive farming can seriously threaten pig homeostasis, well-being and productivity. Disease tolerance of an organism is the adaptive ability in preserving homeostasis and at the same time limiting the detrimental impact that infection can inflict on its health and performance without affecting pathogen burden per se. While disease resistance (DRs) can be assessed measuring appropriately the pathogen burden within the host, the tolerance cannot be quantified easily. Indeed, it requires the assessment of the changes in performance as well as the changes in pathogen burden. In this paper, special attention is given to criteria required to standardize methodologies for assessing disease tolerance (DT) in respect of infectious diseases in pigs. The concept is applied to different areas of expertise and specific examples are given. The basic physiological mechanisms of DT are reviewed. Disease tolerance pathways, genetics of the tolerance-related traits, stress and disease tolerance, and role of metabolic stress in DT are described. In addition, methodologies based on monitoring of growth and reproductive performance, welfare, emotional affective states, sickness behavior for assessment of disease tolerance, and methodologies based on the relationship between environmental challenges and disease tolerance are considered. Automated Precision Livestock Farming technologies available for monitoring performance, health and welfare-related measures in pig farms, and their limitations regarding DT in pigs are also presented. Since defining standardized methodologies for assessing DT is a serious challenge for biologists, animal scientists and veterinarians, this work should contribute to improvement of health, welfare and production in pigs.

Development of a novel reverse transcription droplet digital PCR assay for the sensitive detection of Senecavirus A

In pigs, Senecavirus A (SVA) causes a vesicular disease that is clinically indistinguishable from foot-and-mouth disease, vesicular stomatitis and swine vesicular disease. Sensitive and specific detection of SVA is critical for controlling this emerging disease. In this study, a novel reverse transcription droplet digital PCR (RT-ddPCR) assay, targeting the conserved viral polymerase 3D gene, was established for the detection of SVA. This assay exhibited good linearity, repeatability and reproducibility, and maintained linearity at extremely low concentrations of SVA nucleic acid templates. The detection limit of RT-ddPCR was 1.53 ± 0.22 copies of SVA RNA per reaction (n = 8), and the assay showed approximately 10-fold greater sensitivity than a reverse transcription real-time PCR (RT-rPCR) assay. Moreover, specificity analysis showed that the RT-ddPCR for SVA had no cross-reactivity with other important swine pathogens. In clinical diagnosis of 134 pig serum and tissue samples, 26 and 21 samples were identified as positive by RT-ddPCR and RT-rPCR, respectively. The overall agreement between the two assays was 96.27% (129/134). Further linear regression analysis showed a significant correlation between the RT-ddPCR and RT-rPCR assays with an R² value of 0.9761. Our results indicate that the RT-ddPCR assay is a robust diagnostic tool for the sensitive detection of SVA, even in samples with a low viral load.