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Assessment of performance ability of three diagnostic methods for detection of Potato Leafroll virus (PLRV) using different visualizing systems.
Almasi, Mohammad Amin; Moradi, Aboubakr; Nasiri, Jaber; Karami, Soraya; Nasiri, Mojtaba.
Afiliação
  • Almasi MA; Department of Plant Biotechnology, College of Agriculture, University of Zanjan, Zanjan P.O. Box 313, Islamic Republic of Iran. aminalmasi66@gmail.com
Appl Biochem Biotechnol ; 168(4): 770-84, 2012 Oct.
Article em En | MEDLINE | ID: mdl-22907514
ABSTRACT
To diminish the time required for some diagnostic assays including reverse transcription PCR (RT-PCR), reverse transcription loop-mediated isothermal amplification (RT-LAMP; due to mainly RNA extraction step) and also DAS-ELISA into a minimum level, an innovative immunocapture RT-LAMP (IC-RT-LAMP) and immunocapture reverse transcription (IC/RT-PCR) protocol on the basis of Potato Leafroll virus (PLRV) genome were used and optimized. In this regard, all six IC-RT-LAMP primers (i.e. F3, B3, FIP, BIP, LF and LB) together with IC/RT-PCR primers were designed on the basis of the highly conserved sequence (ORF3) of coat protein gene (GenBank accession number U73777) of PLRV genome. Even though DAS-ELISA, IC/RT-PCR and IC-RT-LAMP assays could successfully detect positive infected plant samples, considering the time, safety, sensitivity, cost and simplicity, the last one was overall superior. Meanwhile, among five different visual dyes to accurately detect IC-RT-LAMP products, both hydroxynaphthol blue and GeneFinder™ could produce long stable colour change and brightness in a close tube-based approach to prevent cross-contamination risk, concluded eventually as the best ones. Altogether, as IC-RT-LAMP is sensitive, cost-effective, fairly user friendly and also can generate more accurate results than previous diagnostic procedures, we accordingly propose this colorimetric assay as a highly reliable alternative viral recognition system regarding PLRV recognition and probably other viral-based diseases.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Luteoviridae / Imagem Molecular Idioma: En Ano de publicação: 2012 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Luteoviridae / Imagem Molecular Idioma: En Ano de publicação: 2012 Tipo de documento: Article