Literature DB >> 27923589

Comparative detection of a large population of grapevine viruses by TaqMan® RT-qPCR and ELISA.

Sébastien Bruisson1, Sylvain Lebel1, Bernard Walter2, Laurent Prevotat3, Sam Seddas3, Paul Schellenbaum4.   

Abstract

Grapevine (Vitis spp.) can be infected by numerous viruses that are often widespread and of great economic importance. Reliable detection methods are necessary for sanitary selection which is the only way to partly control grapevine virus diseases. Biological indexing and ELISA are currently the standard methods for screening propagation material, and PCR-methods are becoming increasingly popular. Due to the diversity of virus isolates, it is essential to verify that the tests allow the detection of the largest possible virus populations. We developed three quadruplex TaqMan® RT-qPCR assays for detecting nine different viruses that cause considerable damage in many vineyards world-wide. Each assay is designed to detect three viruses and the grapevine Actin as an internal control. A large population of grapevines from diverse cultivars and geographic location was tested for the presence of nine viruses: Arabis mosaic virus (ArMV), Grapevine fleck virus (GFkV), Grapevine fanleaf virus (GFLV), Grapevine leafroll-associated viruses (GLRaV-1, -2, -3), Grapevine rupestris stem pitting-associated virus (GRSPaV), Grapevine virus A (GVA), and Grapevine virus B (GVB). In general, identical results were obtained with multiplex TaqMan® RT-qPCR and ELISA although, in some cases, viruses could be detected by only one of the two techniques.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Molecular detection; Multiplex; Serological detection; Vitis

Mesh:

Substances:

Year:  2016        PMID: 27923589     DOI: 10.1016/j.jviromet.2016.12.003

Source DB:  PubMed          Journal:  J Virol Methods        ISSN: 0166-0934            Impact factor:   2.014


  4 in total

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4.  Characterization of grapevine leafroll-associated virus 3 genetic variants and application towards RT-qPCR assay design.

Authors:  Alfredo Diaz-Lara; Vicki Klaassen; Kristian Stevens; Mysore R Sudarshana; Adib Rowhani; Hans J Maree; Kar Mun Chooi; Arnaud G Blouin; Nuredin Habili; Yashu Song; Kamyar Aram; Kari Arnold; Monica L Cooper; Lynn Wunderlich; Mark C Battany; Larry J Bettiga; Rhonda J Smith; Rachelle Bester; Huogen Xiao; Baozhong Meng; John E Preece; Deborah Golino; Maher Al Rwahnih
Journal:  PLoS One       Date:  2018-12-12       Impact factor: 3.240

  4 in total

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