首页 | 本学科首页   官方微博 | 高级检索  
     


Comparison and Evaluation of Three Diagnostic Methods for Detection of Beet Curly Top Virus in Sugar Beet Using Different Visualizing Systems
Authors:Mohammad Amin Almasi  Seyed Mohammad Hosseyni-Dehabadi  Mehdi Aghapour-ojaghkandi
Affiliation:1. Department of Biotechnology, Research Institute of Physiology and Biotechnology, University of Zanjan, PO Box 45195-313, Zanjan, Iran
2. Young Researchers and Elite Club, Meybod Branch, Islamic Azad University, Meybod, Iran
3. Young Researchers and Elite Club, North Tehran Branch, Islamic Azad University, Tehran, Iran
Abstract:To diminish the time required for some diagnostic assays including polymerase chain reaction (PCR), loop-mediated isothermal amplification (LAMP; due to mainly DNA extraction step) and also triple antibody sandwich enzyme-linked immunosorbent assay (TAS-ELISA) into a minimum level, an innovative immunocapture LAMP (IC-LAMP) and immunocapture PCR (IC-PCR) protocol on the basis of beet curly top virus (BCTV) genome was used and optimized. TAS-ELISA was employed first to validate the existence of the virus. All six IC-LAMP primers (i.e. forward outer primer (F3), backward outer primer (B3), forward inner primer (FIP), backward inner primer (BIP), loop forward (LF) and loop backward (LB)) together with IC-PCR primers were designed on the basis of the replication-associated protein (rep) gene (GenBank accession AF379637.1) of BCTV genome. Also, a novel colorimetric IC-LAMP assay for rapid and easy detection of BCTV was developed here, its potential compared with TAS-ELISA and IC-PCR assays. The method, on the whole, had the following advantages over the two mentioned procedures: (i) fascinatingly, no need of DNA extraction; (ii) no requirement of expensive and sophisticated tools for amplification and detection; (iii) no post-amplification treatment of the amplicons and (iv) a flexible and easy detection approach, which is visually detected by naked eyes using diverse visual dyes.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号