alexa Development of a Real-time RT-PCR Method for Rapid Detection and Quantification of Southern Rice Black-streaked Dwarf Virus in Rice
ISSN: 2157-7471

Journal of Plant Pathology & Microbiology
Open Access

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Research Article

Development of a Real-time RT-PCR Method for Rapid Detection and Quantification of Southern Rice Black-streaked Dwarf Virus in Rice

Songbai Zhang1*, Deyong Zhang1,2, Yong Liu1,2, Xiangwen Luo1, Jue Cheng1 and Jing Peng1

1Hunan Plant Protection Institute, Hunan Academy of Agricultural Science, Changsha 410125, China

2Longping Branch, Graduate College, Central South University, Changsha 410125, China

*Corresponding Author:
Yong Liu
Hunan Plant Protection Institute
Hunan Academy of Agricultural Science
Changsha 410125, China
E-mail: [email protected]

Received date: June 12, 2013; Accepted date: July 06, 2013; Published date: July 12, 2013

Citation: Zhang S, Zhang D, Liu Y, Luo X, Cheng JE, et al. (2013) Development of a Real-time RT-PCR Method for Rapid Detection and Quantification of Southern Rice Black-streaked Dwarf Virus in Rice. J Plant Pathol Microb 4:187 doi: 10.4172/2157-7471.1000187

Copyright: © 2013 Zhang S, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



Southern Rice Black-Streaked Dwarf Virus (SRBSDV) was a new pathogen species in genus Fijivirus group 2, which caused serious yield loss of many important cereal crops, such as rice and maize, in the past four years (2008-2011), which are imported in China and Southeast Asia. Notably, there are no typical symptoms in early infected rice, which can prevent serious yield loss. So, it is very important for detection of the early stage of infection of SRBSDV in rice. To this end, a real-time RT-PCR method was established and used to detect this virus in rice samples, and it was also compared with the conventional RT-PCR. The result showed that the real-time RT-PCR possessed high specificity and sensitivity for SRBSDV detecting, and the relationship between Ct values and copy number of SRBSDV was linear with a range of 4.04×102-4.04×107 copies/reaction, and the sensitivity reached 150 copies/reaction. The intra- and inter-assay variability was low. The real-time RT-PCR detected SRBSDV in 87.5%- 100% of field rice samples compared to 63.6%-100% by conventional RT-PCR. As a whole, the real-time RT-PCR is a valuably alternative method for detecting SRBSDV in rice.


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