Quantification of genetically modified soybeans [Glycine max] using a combination of a capillary-type real-time PCR system and a plasmid reference standard

Because the labeling of grains and feed- and foodstuffs is mandatory if the genetically modified organism (GMO) content exceeds a certain level of approved genetically modified varieties in many countries, there is a need for a rapid and useful method of GMO quantification in food samples. In this s...

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Published inBioscience, biotechnology, and biochemistry Vol. 70; no. 4; pp. 821 - 827
Main Authors Toyota, A.(Hiroshima-ken. Inst. of Public Health and Environmental Sciences, Hiroshima (Japan)), Akiyama, H, Sugimura, M, Watanabe, T, Kikuchi, H, Kanamori, H, Hino, A, Esaka, M, Maitani, T
Format Journal Article
LanguageEnglish
Published Tokyo Japan Society for Bioscience, Biotechnology, and Agrochemistry 2006
Japan Society for Bioscience Biotechnology and Agrochemistry
Oxford University Press
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Summary:Because the labeling of grains and feed- and foodstuffs is mandatory if the genetically modified organism (GMO) content exceeds a certain level of approved genetically modified varieties in many countries, there is a need for a rapid and useful method of GMO quantification in food samples. In this study, a rapid detection system was developed for Roundup Readysup(R) Soybean (RRS) quantification using a combination of a capillary-type real-time PCR system, a LightCyclersup(R) real-time PCR system, and plasmid DNA as the reference standard. In addition, we showed for the first time that the plasmid and genomic DNA should be similar in the established detection system because the PCR efficiencies of using plasmid DNA and using genomic DNA were not significantly different. The conversion factor (Csub(f)) to calculate RRS content (%) was further determined from the average value analyzed in three laboratories. The accuracy and reproducibility of this system for RRS quantification at a level of 5.0% were within a range from 4.46 to 5.07% for RRS content and within a range from 2.0% to 7.0% for the relative standard deviation (RSD) value, respectively. This system rapidly monitored the labeling system and had allowable levels of accuracy and precision.
Bibliography:U40
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2007003545
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ISSN:0916-8451
1347-6947
DOI:10.1271/bbb.70.821