• Title of article

    Development of a multiplex PCR method for testing six GM soybean events

  • Author/Authors

    Kim، نويسنده , , Jae-Hwan and Jeong، نويسنده , , Dawoon and Kim، نويسنده , , Young Rok and Kwon، نويسنده , , Yong-Kwan and Rhee، نويسنده , , Gyu-Seek and Zhang، نويسنده , , Dabing and Kim، نويسنده , , Hae-Yeong، نويسنده ,

  • Issue Information
    ماهنامه با شماره پیاپی سال 2013
  • Pages
    6
  • From page
    366
  • To page
    371
  • Abstract
    Genetically modified (GM) soybean and derived products make up a large part of the biotech-derived food and feed market. As more GM soybean varieties have been approved for commercialization, labeling requirement by South Korea and other countries needs the technical testing methods. This paper reports the development of a multiplex PCR method for identifying six commercialized GM soybean events using the event-specific fragment. Event specific primers targeting Roundup Ready Soybean (RRS, GTS40-3-2), A2704-12, DP356043-5, MON89788, A5547-127, and DP305423-1 were designed, and a multiplex PCR assay consisting of six event-specific fragments and one endogenous lectin fragment was developed. The specificity of the event-specific PCR method was confirmed using 20 GM events of maize, soybean, cotton, and canola. The limit of detection (LOD) for each event in the multiplex PCR is approximately 0.05%. Intra-lab validation by two different operators confirmed the specificity and LOD of this multiplex PCR method. The method was used to test 30 soybean-derived foods from South Korean and US markets, and results revealed three varieties of GM soybean (RRS, A2704-12, and MON89788) in 19 of the 30 food samples tested. This work provides an efficient and cost-effective approach for event-specific analysis of six commercialized GM soybean varieties and related processed foods in Korea.
  • Keywords
    Monitoring , MULTIPLEX PCR , Genetically modified soybean , detection
  • Journal title
    Food Control
  • Serial Year
    2013
  • Journal title
    Food Control
  • Record number

    1947993