Development and Validation of a SYBR Green I Real-time RT-PCR Assay for Detecting Duck Reovirus

Author:

Hu Xueying1,Jin Hui1,Yang Xu1,Li Meixia1,Yu Aihua1,Lu Xidong1,Gu Changqin1,Zhang Wanpo1,Cheng Guofu12

Affiliation:

1. College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, P.R. China

2. MOA Key Laboratory of Food Safety Evaluation, Huazhong Agricultural University, Wuhan, Hubei 430070, P.R. China

Abstract

SYBR Green I based real-time RT-PCR assay was developed for the detection and quantification of duck reovirus (DRV) using ABI PRISM 7500 sequence detection system. The assay was carried out using a set of primer designed to amplify highly conserved sequences of S2 gene of DRV. A 10-fold dilution series assay using a plasmid containing the cDNA of DRV S2 gene demonstrated the high sensitivity of the assay with a lowest detection limit of ≤1.48 copies/μL Standard deviation and coefficient of variation were low for both intra-assay and inter-assay variability. The assay performance was evaluated on 80 samples obtained from artificially infected Cherry Valley ducklings and 10 field specimens compared with the conventional RT-PCR assay. It was shown that 10 artificially infected samples tested negative in gel-based assay were positive for the real-time RT-PCR. DRV could be detected in all eight different tissues collected from the ducklings infected artificially. In contrast, the higher detection rate was obtained in the bursa of fabricius (90%), lung (90%), spleen (80%), and thymus (70%) than that in the liver (30%) as well as in the pancreas (10%). This method was rapid, specific, and sensitive for the detection of DRV and will be useful in veterinary diagnostic applications.

Publisher

SAGE Publications

Subject

Animal Science and Zoology,Ecology, Evolution, Behavior and Systematics

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3