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Related Experiment Video

Updated: May 22, 2026

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine
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Macroarray detection of grapevine leafroll-associated viruses.

Jeremy R Thompson1, Marc Fuchs, Kael F Fischer

  • 1Department of Plant Pathology and Plant-Microbe Biology, 334 Plant Science, Cornell University, Ithaca, NY 14850, USA. jrt36@cornell.edu

Journal of Virological Methods
|May 15, 2012
PubMed
Summary
This summary is machine-generated.

A new macroarray assay effectively detects multiple grapevine leafroll-associated viruses (GLRaVs), crucial for grapevine health. This method aids in identifying infected vines, supporting the use of certified virus-tested planting material for industry sustainability.

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Area of Science:

  • Plant Virology
  • Molecular Diagnostics
  • Agricultural Biotechnology

Background:

  • Grapevine leafroll-associated viruses (GLRaVs) pose a significant threat to global grapevine production.
  • Effective control relies on identifying and removing infected vines and using certified planting materials.
  • Development of reliable molecular diagnostic techniques is essential for managing GLRaV spread.

Purpose of the Study:

  • To develop and validate a macroarray assay for the simultaneous detection of principal GLRaVs.
  • To assess the macroarray's performance against established methods like RT-PCR and ELISA.
  • To demonstrate the utility of macroarray technology for unbiased multiplex viral detection in grapevines.

Main Methods:

  • Design and fabrication of a nylon membrane-based macroarray with 314 specific oligonucleotides for key GLRaVs and strains.
  • Testing of 34 grapevine samples using the developed macroarray, RT-PCR, and ELISA.
  • Analysis of assay performance, including detection rates and identification of mixed infections.

Main Results:

  • The macroarray detected 25 out of 30 virus-positive samples, compared to 30 by RT-PCR and 28 by ELISA.
  • Mixed GLRaV infections were identified by the macroarray and confirmed by other methods.
  • Discrepancies were noted, likely due to variations in assay sensitivity and oligonucleotide design limitations.

Conclusions:

  • The macroarray assay is a viable tool for multiplex detection of grapevine leafroll-associated viruses.
  • This methodology offers a robust platform for unbiased viral detection using grapevine total RNA extracts.
  • The study provides proof-of-principle for applying macroarray technology in grapevine virus diagnostics.