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      Development of a TaqMan-based real-time RT-PCR assay for the detection of SADS-CoV associated with severe diarrhea disease in pigs

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          Highlights

          • We established a TaqMan-based real-time RT-PCR assay for the detection of a novel swine diarrhea virus SADS-CoV.

          • The assay in this study was of high sensitivity, specificity and reproducibility.

          • We compared the accuracy between conventional PCR and TaqMan-based RT-PCR assay with adequate clinical samples.

          • This approach will help to provide knowledge on epidemiology and pathogenesis studies of SADS-CoV.

          Abstract

          Swine acute diarrhea syndrome coronavirus (SADS-CoV) is a novel coronavirus which was first reported in southern China in 2017. It can cause severe diarrhea disease in pigs. In order to detect this new emerging virus rapidly and reliably, a TaqMan-based real-time RT-PCR assay was established in this study. Specific primers and probe were designed and synthesized based on the conserved region within the N gene of the viral genome. Results showed that the lowest limit of detection was 3.0 × 10 1 copies/μL. This approach was specific for SADS-CoV, and there were no cross-reaction observed against other 15 swine viruses. It was 10 times more sensitive than the conventional PCR and gave higher SADS-CoV positive detection rate (70.69%, 123/174) than the conventional PCR (51.15%, 89/174) from clinical samples. These data indicated that the TaqMan-based real-time RT-PCR assay established here was an effective method with high sensitivity, specificity and reproducibility for faster and more accurate detection and quantification of SADS-CoV.

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          Most cited references11

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          Discovery of seven novel Mammalian and avian coronaviruses in the genus deltacoronavirus supports bat coronaviruses as the gene source of alphacoronavirus and betacoronavirus and avian coronaviruses as the gene source of gammacoronavirus and deltacoronavirus.

          Recently, we reported the discovery of three novel coronaviruses, bulbul coronavirus HKU11, thrush coronavirus HKU12, and munia coronavirus HKU13, which were identified as representatives of a novel genus, Deltacoronavirus, in the subfamily Coronavirinae. In this territory-wide molecular epidemiology study involving 3,137 mammals and 3,298 birds, we discovered seven additional novel deltacoronaviruses in pigs and birds, which we named porcine coronavirus HKU15, white-eye coronavirus HKU16, sparrow coronavirus HKU17, magpie robin coronavirus HKU18, night heron coronavirus HKU19, wigeon coronavirus HKU20, and common moorhen coronavirus HKU21. Complete genome sequencing and comparative genome analysis showed that the avian and mammalian deltacoronaviruses have similar genome characteristics and structures. They all have relatively small genomes (25.421 to 26.674 kb), the smallest among all coronaviruses. They all have a single papain-like protease domain in the nsp3 gene; an accessory gene, NS6 open reading frame (ORF), located between the M and N genes; and a variable number of accessory genes (up to four) downstream of the N gene. Moreover, they all have the same putative transcription regulatory sequence of ACACCA. Molecular clock analysis showed that the most recent common ancestor of all coronaviruses was estimated at approximately 8100 BC, and those of Alphacoronavirus, Betacoronavirus, Gammacoronavirus, and Deltacoronavirus were at approximately 2400 BC, 3300 BC, 2800 BC, and 3000 BC, respectively. From our studies, it appears that bats and birds, the warm blooded flying vertebrates, are ideal hosts for the coronavirus gene source, bats for Alphacoronavirus and Betacoronavirus and birds for Gammacoronavirus and Deltacoronavirus, to fuel coronavirus evolution and dissemination.
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            Real-time PCR in virology.

            The use of the polymerase chain reaction (PCR) in molecular diagnostics has increased to the point where it is now accepted as the gold standard for detecting nucleic acids from a number of origins and it has become an essential tool in the research laboratory. Real-time PCR has engendered wider acceptance of the PCR due to its improved rapidity, sensitivity, reproducibility and the reduced risk of carry-over contamination. There are currently five main chemistries used for the detection of PCR product during real-time PCR. These are the DNA binding fluorophores, the 5' endonuclease, adjacent linear and hairpin oligoprobes and the self-fluorescing amplicons, which are described in detail. We also discuss factors that have restricted the development of multiplex real-time PCR as well as the role of real-time PCR in quantitating nucleic acids. Both amplification hardware and the fluorogenic detection chemistries have evolved rapidly as the understanding of real-time PCR has developed and this review aims to update the scientist on the current state of the art. We describe the background, advantages and limitations of real-time PCR and we review the literature as it applies to virus detection in the routine and research laboratory in order to focus on one of the many areas in which the application of real-time PCR has provided significant methodological benefits and improved patient outcomes. However, the technology discussed has been applied to other areas of microbiology as well as studies of gene expression and genetic disease.
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              Is Open Access

              Porcine Deltacoronavirus in Mainland China

              To the Editor: Porcine deltacoronavirus (PDCoV) was discovered in 2012, during a study to identify new coronaviruses in mammals and birds in Hong Kong ( 1 ). In February 2014, this novel porcine coronavirus was detected in pigs in Ohio, United States ( 2 ), and has since been reported in at least 17 US states ( 3 – 5 ). Concern regarding the epidemiology, evolution, and pathogenicity of this emerging virus is increasing. Recently, PDCoV was identified in South Korea ( 6 ). We report PDCoV in mainland China. Since December 2010, a large-scale outbreak of diarrhea in suckling piglets has occurred on swine farms in mainland China ( 7 ). The causative agent was considered to be a variant of porcine epidemic diarrhea virus (PEDV) ( 8 ), and the role of PDCoV in the outbreak was not investigated at that time. Using 2 pairs of specific primers to detect PDCoV, as described by Wang et al. ( 2 ), we tested 215 intestinal or fecal samples collected at various times during 2004–2014 from piglets with clinical diarrhea in Anhui, Guangxi, Hubei, and Jiangsu provinces, mainland China (Technical Appendix Table 1). All samples were submitted from commercial pig farms to our laboratory for enteropathogen detection. Of these samples, 165 (124 from Hubei, 41 from Jiangsu) had been collected in 2014, and 50 (40 from Jiangsu, 6 from Anhui, 4 from Guangxi) had been collected during 2004–2013 and preserved in our laboratory. The 215 samples were simultaneously tested for PEDV and transmissible gastroenteritis virus (TGEV) by using the primers listed in Technical Appendix Table 2. Of the samples tested, 14 (6.51%) were positive for PDCoV, 110 (51.2%) were positive for PEDV, and 5 (2.3%) were positive for TGEV. Of the 14 PDCoV-positive samples, 7 (50%) were also positive for PEDV; 2 of the 215 samples were co-infected with PEDV, TGEV, and PDCoV (Technical Appendix Table 1). Previous studies have shown that prevalence of PDCoV in the midwestern United States in 2014 was high (30%) and that PDCoV co-infections with other pathogens (such as PEDV and rotavirus) are more common (78% of PDCoV infections) ( 4 ). At the same time in mainland China, the rate of PDCoV positivity was lower (7.27%), whereas that of PEDV was higher (52.73%), suggesting that PEDV remains the main causative agent of piglet diarrhea diseases in mainland China. Similarly, in South Korea in 2014, only 2 PDCoV-positive samples were detected in 113 samples of diarrhea from pigs ( 6 ). We also examined the collection dates and geographic locations of the PDCoV-positive samples and found that PDCoV was detected in pigs in Hubei (8/124), Jiangsu (4/81), and Anhui (2/6) Provinces. However, all samples from pigs in Guangxi Province were negative for PDCoV. All PDCoV-positive samples from Hubei and Jiangsu Provinces had been collected in 2014, whereas the 2 PDCoV-positive samples from Anhui Province had been collected in 2004. Among the PDCoV-positive samples, we selected 3 for complete genome sequencing with 16 pairs of overlapping primers, as described previously ( 2 ): one (CHN-AH-2004) collected from Anhui Province in 2004, one (CHN-HB-2014) from Hubei Province in 2014, and one (CHN-JS-2014) from Jiangsu Province in 2014. These complete genome sequences have been deposited in GenBank under accession nos. KP757890 (CHN-AH-2004), KP757891 (CHN-HB-2014), and KP757892 (CHN-JS-2014). The complete genome sequences of 3 PDCoV strains from pigs in mainland China shared high nucleotide identities (>98.9%) with all previously reported PDCoV strains. Previous studies found that Hong Kong strain HKU 15–44 and all PDCoV strains from the United States and South Korea have a 3-nt insertion in the spike gene, which is not present in Hong Kong strain HKU 15-155 ( 2 – 6 ). This insertion is also present in CHN-AH-2004, whereas CHN-HB-2014 and CHN-JS-2014, like HKU 15-155, lack this insertion (online Technical Appendix Figure). Although all reported PDCoV strains from China shared high similarity with each other, a phylogenetic tree based on all available complete PDCoV genome sequences showed that these PDCoV strains clearly cluster in different clades (Figure). Strain CHN-JS-2014 shares an ancestor with the strains from the United States and South Korea. CHN-AH-2004 and HKU15-44 share a common ancestor, and CHN-HB-2014 shares a common ancestor with CHN-AH-2004 and HKU15-44. Figure Phylogenetic tree of all complete porcine deltacoronavirus genome sequences available in February 2015. The phylogenetic tree was constructed by using the distance-based neighbor-joining method in MEGA 6.06 software (http://www.megasoftware.net/). Bootstrap values were calculated with 1,000 replicates. The number on each branch indicates bootstrap values. The reference sequences obtained from GenBank are indicated by strain abbreviations and GenBank accession numbers. Triangles indicate the 3 strains from mainland China. Scale bar indicates nucleotide substitutions per site. As an emerging virus, PDCoV has been poorly understood. Our data suggest that PDCoV has existed in mainland China for at least 11 years. Although the rate of PDCoV infection detected in mainland China in this study was relatively low, the results may not accurately reflect the prevalence of PDCoV in mainland China because the tested samples were collected from only 4 provinces. Extensive surveillance is required to define the epidemiology and evolution of PDCoV in mainland China. Recent confirmation that PDCoV is enteropathogenic in gnotobiotic pigs ( 9 ) highlights the need for effective vaccines against this emerging virus. Technical Appendix Additional methods used to detect porcine deltacoronavirus in pigs from mainland China and virus sequencing results.
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                Author and article information

                Contributors
                Journal
                J Virol Methods
                J. Virol. Methods
                Journal of Virological Methods
                Elsevier B.V.
                0166-0934
                1879-0984
                7 February 2018
                May 2018
                7 February 2018
                : 255
                : 66-70
                Affiliations
                [a ]College of Animal Science, South China Agricultural University, Guangzhou, China
                [b ]Key Laboratory of Animal Health Aquaculture and Environmental Control, Guangzhou, Guangdong, China
                [c ]Hog Production Division, Guangdong Wen’s Foodstuffs Group Co., Ltd., Xinxing, 527439, China
                [d ]Guangdong Wen’s Foodstuff Group Co., Ltd., Yanjiang Street, Xinxing, 527400, Guangdong, China
                Author notes
                [* ]Corresponding authors at: College of Animal Science, South China Agricultural University, Tianhe District, Wushan Road 483, Guangzhou 510642, China. Zhangxb@ 123456scau.edu.cn majy2400@ 123456scau.edu.cn
                Article
                S0166-0934(17)30719-X
                10.1016/j.jviromet.2018.02.002
                7113665
                29427670
                18947d3e-d026-42cc-9108-7acff0c60c8f
                © 2018 Elsevier B.V. All rights reserved.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 12 November 2017
                : 21 January 2018
                : 2 February 2018
                Categories
                Article

                Microbiology & Virology
                sads-cov,taqman-based real-time rt-pcr,diagnosis,quantification
                Microbiology & Virology
                sads-cov, taqman-based real-time rt-pcr, diagnosis, quantification

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