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RT-RPA Assay Combined with a Lateral Flow Strip to Detect Soybean Mosaic Virus

  • Bong Geun Oh (Department of Agricultural Biology, Jeonbuk National University) ;
  • Ju-Yeon Yoon (Department of Plant Protection and Quarantine, Jeonbuk National University) ;
  • Ho-Jong Ju (Department of Agricultural Biology, Jeonbuk National University)
  • Received : 2024.02.07
  • Accepted : 2024.06.13
  • Published : 2024.08.01

Abstract

Soybean (Glycine max L.) is one of the most widely planted and used legumes in the world, being used for food, animal feed products, and industrial production. The soybean mosaic virus (SMV) is the most prevalent virus infecting soybean plants. This study developed a diagnostic method for the rapid and sensitive detection of SMV using a reverse transcription-recombinase polymerase amplification (RT-RPA) technique combined with a lateral flow strip (LFS). The RT-RPA and RT-RPA-LFS conditions to detect the SMV were optimized using the selected primer set that amplified part of the VPg protein gene. The optimized reaction temperature for the RT-RPA primer and RT-RPA-LFS primer used in this study was 38℃ for both, and the minimum reaction time was 10 min and 5 min, respectively. The RT-RPA-LFS was as sensitive as RT-PCR to detect SMV with 10 pg/µl of total RNA. The reliability of the developed RT-RPA-LFS assay was evaluated using leaves collected from soybean fields. The RT-RPA-LFS diagnostic method developed in this study will be useful as a diagnostic method that can quickly and precisely detect SMV in the epidemiological investigation of SMV, in the selection process of SMV-resistant varieties, on local farms with limited resources.

Keywords

Acknowledgement

This study was supported by the Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry (IPET) through Plant Virus and Industrialization in Response to Pests Program, funded by the Ministry of Agriculture, Food and Rural Affairs (MAFRA) (Grant No: 120080-05). The authors would like to thank the Writing Center at Jeonbuk National University for its skilled proofreading service.

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