IntroductionSouthern rice black-streaked dwarf virus (SRBSDV), a latest member of the genus Fijivirus within the family Reoviridae, was simultaneously isolated and identified from the rice in southern of China in 2008 [1,2]. In the following three years (2009)(2010), SRBSDV caused the most important rice disease in South of China, there were over ten millions hectare of rice infected, and resulted in massive devastation of rice yield [3].SRBSDV was most closely related to rice black-streaked dwarf virus (RBSDV); symptoms of infected rice by SRBSDV were similar to RBSDV, such as stunting, dark leaf and small enations on stem and leaf back. Its genome consisted of 10 linear segments of double-stranded RNAs (dsRNA) called S1-S10 in an increasing order of electrophoretic mobility in polyacrylamide gels [1]. The homology of nucleotide sequence of genome segments of SRBSDV was 70.6%-80.0% similar to the genome segments of RBSDV. Nevertheless, the SRBSDV was transmitted to rice by white-backed planthoppers, but not by small brown planthopper (RBSDV transmitted vector), and whole genome comparisons and phylogenetic analyses also supported suggestions that SRBSDV represented a new species within the genus Fijivirus, family Reoviridae [4]. So it is exceeding to develop an accurate detecting method for identifying SRBSDV from RBSDV.Currently, the identification of SRBSDV and its infection is mainly by typical symptoms and RT-PCR [5]. For typical symptoms, it is time consuming, false positive in early diagnosis and severe yield loss by the time it is identified in the infected rice [6]. For RT-PCR, thought it is specific to SRBSDV, false positive still constantly occur, especially in early infected stage in rice because of low quantity of virion in the host [7]. The serological methods are more fast and economical than other methods [8] including in rice and transmitted vector, nevertheless, they are under development. These methods are difficult to precisely quantify SRBSDV, and difficult to rapidly detect the disease for early warning [9]. So it is very important to develop a detecting method for SRBSDV with simple operation, strong specificity, high sensitivity, good reproducibility and quick speed. The real-time RT-PCR is suitable and gradually become an important technique for virus detecting [10][11][12].This study aimed to design specific primers and develop an absolute quantification real-time RT-PCR method for detecting SRBSDV, and this method was also applied to detect SRBSDV infection in field samples of rice. For demonstrating the excellent performance of developed real-time RT-PCR, the detection efficiency was also compared with conventional RT-PCR.
Materials and Methods
Leaf samples of riceLeaf samples of rice were collected from heading stage of rice in different districts of Hunan province, China. The leaf samples were gathered in period from 2009 to 2011, there into, some of samples had typical or suspected symptoms of SRBSDV infected, such as stunting, dark leaf and/or small enations on stem and leaf back....