Literature DB >> 28847345

Highly Sensitive GMO Detection Using Real-Time PCR with a Large Amount of DNA Template: Single-Laboratory Validation.

Junichi Mano1, Shuko Hatano1, Yasuaki Nagatomi1, Satoshi Futo1, Reona Takabatake1, Kazumi Kitta1.   

Abstract

Current genetically modified organism (GMO) detection methods allow for sensitive detection. However, a further increase in sensitivity will enable more efficient testing for large grain samples and reliable testing for processed foods. In this study, we investigated real-time PCR-based GMO detection methods using a large amount of DNA template. We selected target sequences that are commonly introduced into many kinds of GM crops, i.e., 35S promoter and nopaline synthase (NOS) terminator. This makes the newly developed method applicable to a wide range of GMOs, including some unauthorized ones. The estimated LOD of the new method was 0.005% of GM maize events; to the best of our knowledge, this method is the most sensitive among the GM maize detection methods for which the LOD was evaluated in terms of GMO content. A 10-fold increase in the DNA amount as compared with the amount used under common testing conditions gave an approximately 10-fold reduction in the LOD without PCR inhibition. Our method is applicable to various analytical samples, including processed foods. The use of other primers and fluorescence probes would permit highly sensitive detection of various recombinant DNA sequences besides the 35S promoter and NOS terminator.

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Year:  2017        PMID: 28847345     DOI: 10.5740/jaoacint.17-0197

Source DB:  PubMed          Journal:  J AOAC Int        ISSN: 1060-3271            Impact factor:   1.913


  3 in total

Review 1.  Selected Instrumental Techniques Applied in Food and Feed: Quality, Safety and Adulteration Analysis.

Authors:  Graciela Artavia; Carolina Cortés-Herrera; Fabio Granados-Chinchilla
Journal:  Foods       Date:  2021-05-13

2.  Increasing the Efficiency of Canola and Soybean GMO Detection and Quantification Using Multiplex Droplet Digital PCR.

Authors:  Tigst Demeke; Sung-Jong Lee; Monika Eng
Journal:  Biology (Basel)       Date:  2022-01-27

3.  A Label-Free Immunosensor Based on Gold Nanoparticles/Thionine for Sensitive Detection of PAT Protein in Genetically Modified Crops.

Authors:  Qianwen Yang; Yu Wang; Xiaofeng Liu; Hua Liu; Huifang Bao; Jinbin Wang; Haijuan Zeng
Journal:  Front Chem       Date:  2021-12-07       Impact factor: 5.221

  3 in total

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