畜牧兽医学报 ›› 2019, Vol. 50 ›› Issue (4): 893-900.doi: 10.11843/j.issn.0366-6964.2019.04.023

• 研究简报 • 上一篇    

检测纽布病毒的Real-time RT-PCR方法的建立与应用

郭紫晶1, 何琪富1, 汤承1,2, 张斌1,2, 岳华1,2*   

  1. 1. 西南民族大学生命科学与技术学院, 成都 610041;
    2. 国家民委青藏高原动物疫病防控创新团队, 成都 610041
  • 收稿日期:2018-12-05 出版日期:2019-04-23 发布日期:2019-04-23
  • 通讯作者: 岳华,主要从事动物病原生物学研究,Tel:028-85528276,E-mail:yhua900@163.com
  • 作者简介:郭紫晶(1992-),女,贵州安顺人,硕士生,主要从事动物病原生物学研究,E-mail:657694728@qq.com
  • 基金资助:

    “十三五”国家重点研发计划课题(2016YFD0500907);国家民委“青藏高原动物疫病防控创新团队”(13TD0057)

Establishment and Application of a Real-time RT-PCR Assay for Detecting Bovine Nebovirus

GUO Zijing1, HE Qifu1, TANG Cheng1,2, ZHANG Bin1,2, YUE Hua1,2*   

  1. 1. College of Life Science and Technology, Southwest Minzu University, Chengdu 610041, China;
    2. Innovation Team for Animal Epidemic Diseases Prevention and Control on Qinghai-Tibet Plateau, State Ethnic Affairs Commission, Chengdu 610041, China
  • Received:2018-12-05 Online:2019-04-23 Published:2019-04-23

摘要:

纽布病毒(nebovirus,NeV)是国内新发的犊牛腹泻病原,本试验目的是建立检测NeV的real-time RT-PCR方法。根据国内NeV流行株的聚合酶基因(RdRp)序列设计引物,通过反应条件和体系优化,成功建立基于TB Green检测NeV的real-time RT-PCR方法。结果显示:该方法在2.9×101~2.9×109copies·μL-1之间呈现良好的线性关系,线性相关系数R2=0.999 4,扩增效率为98%;该方法只特异性检出NeV,不检出常见无关病原;最低检测下限为29 copies·μL-1;批内和批间的变异系数分别为0.89%~1.89%和0.83%~1.15%;该方法对临床样本的检出率高于文献报道的三种检测方法(P<0.05)。对2018年8-11月采自新疆和辽宁的135份奶犊牛腹泻样本中NeV的检出率为67.41%,场阳性率为100%(15/15)。所建方法的特异性和稳定性好、灵敏度高,为NeV的检测和流行病学调查提供了有力的手段。

Abstract:

Nebovirus (NeV) is an emerging causative agent of calf diarrhea in China, the aim of the study was to establish a real-time RT-PCR assay for detecting NeV. The TB Green real-time RT-PCR assay was successfully established through designing primers targeted to RdRp fragment of NeV strains in China and optimizing the reaction conditions and system. The Real-time RT-PCR assay showed a good linear relationship between 2.9×101 and 2.9×109 copies·μL-1, linear correlation coefficient R2=0.999 4, and amplification efficiency was 98%. This method only specifically detected NeV, and did not detect other unrelated pathogens; the minimum detection limit was 29 copies·μL-1; the intra-and inter-coefficients of variation were 0.89%-1.89% and 0.83%-1.15%, respectively; comparing to other three reported RT-PCR assays, the assay in this study has a significant high detection rate for NeV in clinical samples (P<0.05). In 135 diarrhea samples of dairy cows from Xinjiang and Liaoing regions from August to November 2018, the NeV detection rate was 67.41%, and the farms positive rate was 100% (15/15). The assay for detecting NeV established in this study has a good specificity and stability, which provide an effective means for detection and epidemiological investigation of NeV.

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