scholarly journals Development of a Real Time RT-PCR Assay for Detecting Genetically Different Pepino Mosaic Virus Isolates

Author(s):  
Beata Hasiów ◽  
Natasza Borodynko ◽  
Henryk Pospieszny
2014 ◽  
Vol 58 (01) ◽  
pp. 81-85 ◽  
Author(s):  
A. ZARZYŃSKA ◽  
M. JEŻEWSKA ◽  
K. TRZMIEL ◽  
B. HASIÓW-JAROSZEWSKA

2008 ◽  
Vol 149 (2) ◽  
pp. 326-329 ◽  
Author(s):  
Chen Hongyun ◽  
Zhao Wenjun ◽  
Gu Qinsheng ◽  
Chen Qing ◽  
Lin Shiming ◽  
...  
Keyword(s):  
Rt Pcr ◽  

2013 ◽  
Vol 10 (1) ◽  
pp. 173 ◽  
Author(s):  
Wenwen Liu ◽  
Xiaojuan Zhao ◽  
Peng Zhang ◽  
Thi Mar ◽  
Yan Liu ◽  
...  

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Wei-Lin Fu ◽  
Sheng-Ren Sun ◽  
Hua-Ying Fu ◽  
Ru-Kai Chen ◽  
Jin-Wei Su ◽  
...  

Sugarcane mosaic disease is caused by theSugarcane streak mosaic virus(SCSMV; genusPoacevirus, familyPotyviridae) which is common in some Asian countries. Here, we established a protocol of a one-step real-time quantitative reverse transcription PCR (real-time qRT-PCR) using the TaqMan probe for the detection of SCSMV in sugarcane. Primers and probes were designed within the conserved region of the SCSMV coat protein (CP) gene sequences. Standard single-stranded RNA (ssRNA) generated by PCR-based gene transcripts of recombinant pGEM-CP plasmidin vitroand total RNA extracted from SCSMV-infected sugarcane were used as templates of qRT-PCR. We further performed a sensitivity assay to show that the detection limit of the assay was 100 copies of ssRNA and 2 pg of total RNA with good reproducibility. The values obtained were approximately 100-fold more sensitive than those of the conventional RT-PCR. A higher incidence (68.6%) of SCSMV infection was detected by qRT-PCR than that (48.6%) with conventional RT-PCR in samples showing mosaic symptoms. SCSMV-free samples were verified by infection withSugarcane mosaic virus(SCMV) orSorghum mosaic virus(SrMV) or a combination of both. The developed qRT-PCR assay may become an alternative molecular tool for an economical, rapid, and efficient detection and quantification of SCSMV.


Sensors ◽  
2012 ◽  
Vol 12 (12) ◽  
pp. 16685-16694 ◽  
Author(s):  
Jin-Guang Yang ◽  
Feng-Long Wang ◽  
De-Xin Chen ◽  
Li-Li Shen ◽  
Yu-Mei Qian ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document