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Genotyping Citrus tristeza virus Isolates by Sequential Multiplex RT-PCR and Microarray Hybridization in a
Giuseppe Scuderi1, Antonino F Catara2,3, Grazia Licciardello4
1Agrobiotech Soc. Coop., Catania, Italy. gscuderi@agrobiotech.it.
Methods in Molecular Biology (Clifton, N.J.)
|June 22, 2019
Summary
This study introduces a novel lab-on-chip protocol for Citrus tristeza virus (CTV) strain identification. The method uses multiplex RT-PCR and microarray hybridization for rapid and accurate CTV genotype analysis.
Area of Science:
- Plant Virology
- Molecular Diagnostics
- Bioengineering
Background:
- Citrus tristeza virus (CTV) is a significant plant RNA virus with diverse genotypic groups.
- Accurate genomic information is crucial for effective CTV disease management strategies.
- Current RT-PCR methods for CTV detection can be improved for greater accuracy.
Purpose of the Study:
- To develop and pilot a miniaturized lab-on-chip (LoC) protocol for Citrus tristeza virus (CTV) strain identification.
- To enable rapid analysis of CTV genotype diversity in field isolates.
- To differentiate endemic from non-endemic CTV isolates.
Main Methods:
- A sequential multiplex RT-PCR reaction combined with microarray hybridization on a silicon LoC device.
- Design of 12 primers and 44 probes targeting variable genomic regions of 6 CTV genes (5'UTR, ORF1a, ORF1b, p33, p20, p23).
- Analysis based on the pattern of probe hybridizations to identify CTV genotypes.
Main Results:
- The LoC system successfully analyzed genotype diversity in CTV isolates.
- The protocol demonstrated the capability to distinguish between different CTV genotypic groups.
- The method allows for rapid identification of CTV strains based on probe hybridization profiles.
Conclusions:
- The developed LoC-based multiplex RT-PCR and microarray hybridization protocol offers a rapid and accurate method for CTV strain identification.
- This approach enhances genomic information availability for CTV disease management.
- The system has the potential to improve the surveillance and control of CTV outbreaks.
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