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Partial sequence identification of grapevine-leafroll-associated virus-1 and development of a highly sensitive
K M Sefc1, W Leonhardt, H Steinkellner
1Zentrum für Angewandte Genetik, Muthgasse 18, BOKU-Wien, A-1190, Wien, Austria.
Journal of Virological Methods
|March 14, 2000
Summary
A new immunocapture reverse transcription PCR (IC-RT-PCR) method offers a highly sensitive and specific way to detect Grapevine leafroll-associated virus 1 (GLRaV-1) in vines. This advanced technique surpasses traditional ELISA in sensitivity for GLRaV-1 detection.
Area of Science:
- Plant Virology
- Molecular Diagnostics
- Horticultural Science
Background:
- Grapevine leafroll disease poses a significant threat to vineyards worldwide.
- Accurate and sensitive detection of Grapevine leafroll-associated virus 1 (GLRaV-1) is crucial for disease management.
- Existing diagnostic methods like ELISA may lack the required sensitivity for early or low-level infections.
Purpose of the Study:
- To develop a highly sensitive and specific molecular detection method for GLRaV-1.
- To design GLRaV-1 specific primers based on conserved viral gene regions.
- To compare the diagnostic sensitivity of the new method against the established ELISA technique.
Main Methods:
- Utilized immunocapture reverse transcription PCR (IC-RT-PCR) for viral RNA isolation and amplification.
- Employed degenerate primers targeting the conserved HSP70 gene region of closteroviruses.
- Designed GLRaV-1 specific primers within the identified 5'end HSP70 gene sequence (511 bp).
Main Results:
- Successfully amplified a specific 511 bp PCR product from GLRaV-1 infected vine samples.
- Developed an IC-RT-PCR detection procedure approximately 125 times more sensitive than ELISA.
- Demonstrated high specificity, with no amplification observed in samples infected with GLRaV-2, -3, or -4.
Conclusions:
- The developed IC-RT-PCR method provides a sensitive and specific alternative for GLRaV-1 detection.
- This technique is particularly valuable in situations where ELISA sensitivity is insufficient.
- Enhanced molecular diagnostics can improve grapevine disease management strategies.