ACTA VETERINARIA ET ZOOTECHNICA SINICA ›› 2018, Vol. 49 ›› Issue (4): 852-858.doi: 10.11843/j.issn.0366-6964.2018.04.025

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Establishment and Application of the Real-time Reverse Transcription Quantitative PCR Assay for Porcine Epidemic Diarrhea Virus and Porcine Deltacoronavirus

LUO Shang-xing1, FAN Jing-hui1*, LIU Bao-jing1, SHI Qian-kai1, HOU Lin-shan1, ZUO Yu-zhu1,2*   

  1. 1. College of Veterinary Medicine, Hebei Agricultural University, Baoding 071001, China;
    2. College of Animal Science and Technology, Hebei Agricultural University, Baoding 071001, China
  • Received:2017-08-30 Online:2018-04-23 Published:2018-04-19

Abstract:

Porcine deltacoronavirus (PDCoV) and porcine epidemic diarrhea virus (PEDV) are enterpathogenic coronavirus which cause acute diarrhea, vomiting,dehydration and mortality in neonatal piglets. In order to establish a real-time reverse transcription quantitative PCR (RT-qPCR) assay to detect PDCoV and PEDV, two pairs of specific primers were designed according to the conservative sequence of N gene (PDCoV) and M gene (PEDV) registered in GenBank. The genes of the conservative region were amplified and cloned into pMD19-T vector. Taking Mix 10 times the gradient dilution of recombinant plasmid as a standard template, a RT-qPCR to PDCoV and PEDV was established. The sensitivity, specificity and repeatability were tested. Results showed that the sensitivity of this RT-qPCR assay was 51 and 32 copies·μL-1 for PDCoV and PEDV, respectively. No cross-reaction was detected to PBoV, TGEV, PRV and PCV2. The RT-qPCR assay was applied to the detection of 130 clinical samples collected from Hebei province during 2016-2017. PDCoV positive rate was 16.9%, PEDV positive rate was 66.2%, and co-infection was 2.3%. The sensitivity of fluorescence quantitative PCR was significantly higher than that of ordinary RT-PCR. These results indicated that the detection assay could be applied for rapid and high through-put diagnosis of PDCoV and PEDV.

Key words: porcine deltacoronavirus, porcine epidemic diarrhea virus, real-time quantitative PCR, clinical detection

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