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Mohammad Hajizadeh

Mohammad Hajizadeh

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 57192920449
Faculty: Faculty of Agriculture
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Research

Title
Development and validation of a multiplex RT-PCR method for the simultaneous detection of five grapevine viroids
Type
JournalPaper
Keywords
HSVd GYSVd-1 GYSVd-2 AGVd CEVd Vitis vinifera RT-PCR Detection
Year
2012
Journal Journal of Virological Methods
DOI
Researchers Mohammad Hajizadeh ، Beatriz Navarro ، Nemat Sokhandan Bashir ، Enza Maria Torchetti ، Francesco Di Serio

Abstract

Grapevine yellow speckle viroid 1 (GYSVd-1), Grapevine yellow speckle viroid 2 (GYSVd-2), Australian grapevine viroid (AGVd), Hop stunt viroid (HSVd) and Citrus exocortis viroid (CEVd) are the five viroids known to infect naturally grapevines. We developed a multiplex RT-PCR (mRT-PCR) method for the simultaneous detection of these five viroids and the amplification of the cDNA fragment of a host-derived mRNA (actin mRNA) as an internal positive control. Specific primers for each targeted viroid were designed by taking into account the sequence variability within and between the viroid species and tested in silico. The method was validated by testing 57 grapevine samples from Iran and showed reliability and high sensitivity. The RT-PCR-negative samples were further assayed by Northern-blot hybridization. For this, a method was developed for the simultaneous detection of three different grapevine viroids on a single hybridization membrane. In this survey, HSVd, GYSVd-1, AGVd, and GYSVd-2 were detected in 100, 95, 93, and 65% of the samples tested, respectively, confirming the wide distribution of these viroids in Iran. CEVd was not detected in any of the samples collected. Based on these results, HSVd is proposed as a positive internal control for mRT-PCR in the areas where this viroid is widespread, so as to reduce the time and costs of DNase treatment, which is required when a host-derived internal control is used. The mRT-PCR method has the potential to be used routinely for large-scale surveys and certification programs.