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Detection of plant viruses in mixed infection by a macroarray-assisted method
Hanako Shimura1, Kazuyoshi Furuta, Chikara Masuta
1Horticultural Science, Research Faculty of Agriculture, Hokkaido University, Kita 9 Nishi 9, Kita-ku, Sapporo, Hokkaido, 060-8589, Japan, hana@res.agr.hokudai.ac.jp.
Methods in Molecular Biology (Clifton, N.J.)
|October 8, 2014
Summary
A new cDNA macroarray method offers simple, sensitive detection of multiple plant viruses. This reliable routine diagnosis for mixed viral infections can be performed at crop production sites.
Area of Science:
- Plant Pathology
- Molecular Biology
- Virology
Background:
- Accurate diagnosis of mixed plant viral infections is crucial for crop production.
- Existing methods may lack the sensitivity or specificity required for routine on-site diagnosis.
- Development of a reliable, field-deployable detection protocol is needed.
Purpose of the Study:
- To provide a simple, sensitive, and specific method for detecting multiple plant viruses.
- To enable reliable routine diagnosis of mixed viral infections directly at crop production sites.
- To demonstrate the utility of the method for detecting specific asparagus viruses.
Main Methods:
- RNA extraction from infected plant tissues.
- Duplex reverse transcription polymerase chain reaction (RT-PCR) to generate biotinylated cDNA probes.
- Microtube hybridization (MTH) of cDNA probes to a nylon membrane containing target viral cDNAs, followed by colorimetric visualization.
Main Results:
- The developed cDNA macroarray method demonstrated high sensitivity and specificity.
- The protocol successfully detected latent infections of Asparagus virus 1 and Asparagus virus 2 in asparagus plants.
- Visual detection of positive signals by colorimetric reaction was effective.
Conclusions:
- The described cDNA macroarray protocol is a viable tool for the sensitive and specific detection of multiple plant viruses.
- This method facilitates reliable routine diagnosis of mixed viral infections, suitable for on-site application in crop production.
- The protocol's effectiveness in detecting asparagus viruses highlights its potential for broader application in plant virus diagnostics.

