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The Detection and Variation of Strawberry mottle virus
1BBA, Institut für Pflanzenschutz im Obstbau, Schwabenheimer Straße 101, D- 69221, Dossenheim, Germany.
Plant Disease
|March 6, 2019
Summary
Strawberry mottle virus (SMoV) detection is crucial for strawberry yield. This study developed a reverse transcription-polymerase chain reaction (RT-PCR) method for accurate SMoV identification in Fragaria spp.
Area of Science:
- Plant Virology
- Molecular Diagnostics
- Agricultural Science
Background:
- Strawberry mottle virus (SMoV) causes significant losses in strawberry (Fragaria spp.) fruit and runner yield.
- Commercial strawberry varieties often lack definitive SMoV symptoms, complicating detection.
- Virus detection currently relies on transmission to indicator plants, which is time-consuming.
Purpose of the Study:
- To develop and validate a molecular method for SMoV detection in strawberry.
- To characterize genetic diversity among SMoV isolates using sequence analysis.
Main Methods:
- Reverse transcription-polymerase chain reaction (RT-PCR) using primers specific to noncoding regions (NCR) of SMoV RNA1 and RNA2.
- RT-PCR amplification and sequencing of partial coat protein and polymerase genes.
- Sequence comparison and phylogenetic analysis of SMoV isolates.
Main Results:
- The developed RT-PCR method successfully detected SMoV in all 16 tested isolates from diverse geographical locations.
- Sequence analysis revealed significant nucleotide identity variations (72.8–100%) among SMoV isolates.
- Isolates showed a tendency to cluster based on their geographical origin, indicating potential regional strains.
- Four conserved regions of at least 20 bases were identified in the SMoV NCR sequences.
Conclusions:
- RT-PCR provides an effective and sensitive method for SMoV detection in strawberry.
- Molecular characterization highlights the genetic diversity of SMoV and suggests geographical influences.
- The conserved NCR regions may serve as targets for future diagnostic assay development.
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