Practicable Group Testing Method to Evaluate Weight/Weight GMO Content in Maize Grains

Because of the increasing use of maize hybrids with genetically modified (GM) stacked events, the established and commonly used bulk sample methods for PCR quantification of GM maize in non-GM maize are prone to overestimate the GM organism (GMO) content, compared to the actual weight/weight percent...

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Bibliographic Details
Published in:Journal of agricultural and food chemistry 2011-07, Vol.59 (13), p.6856-6863
Main Authors: Mano, Junichi, Yanaka, Yuka, Ikezu, Yoko, Onishi, Mari, Futo, Satoshi, Minegishi, Yasutaka, Ninomiya, Kenji, Yotsuyanagi, Yuichi, Spiegelhalter, Frank, Akiyama, Hiroshi, Teshima, Reiko, Hino, Akihiro, Naito, Shigehiro, Koiwa, Tomohiro, Takabatake, Reona, Furui, Satoshi, Kitta, Kazumi
Format: Article
Language:English
Subjects:
Analytical Methods
Biological and medical sciences
Cereal and baking product industries
corn
DNA
DNA, Plant - analysis
Food industries
Fundamental and applied biological sciences. Psychology
General aspects
genetically modified organisms
hybrids
Methods of analysis, processing and quality control, regulation, standards
Plants, Genetically Modified - genetics
polymerase chain reaction
Polymerase Chain Reaction - methods
qualitative analysis
Reproducibility of Results
seeds
Seeds - genetics
Zea mays - classification
Zea mays - genetics
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Summary:Because of the increasing use of maize hybrids with genetically modified (GM) stacked events, the established and commonly used bulk sample methods for PCR quantification of GM maize in non-GM maize are prone to overestimate the GM organism (GMO) content, compared to the actual weight/weight percentage of GM maize in the grain sample. As an alternative method, we designed and assessed a group testing strategy in which the GMO content is statistically evaluated based on qualitative analyses of multiple small pools, consisting of 20 maize kernels each. This approach enables the GMO content evaluation on a weight/weight basis, irrespective of the presence of stacked-event kernels. To enhance the method’s user-friendliness in routine application, we devised an easy-to-use PCR-based qualitative analytical method comprising a sample preparation step in which 20 maize kernels are ground in a lysis buffer and a subsequent PCR assay in which the lysate is directly used as a DNA template. This method was validated in a multilaboratory collaborative trial.
ISSN:0021-8561
1520-5118
DOI:10.1021/jf200212v