Literature DB >> 11767156

Validation of PCR methods for quantitation of genetically modified plants in food.

P Hübner1, H U Waiblinger, K Pietsch, P Brodmann.   

Abstract

For enforcement of the recently introduced labeling threshold for genetically modified organisms (GMOs) in food ingredients, quantitative detection methods such as quantitative competitive (QC-PCR) and real-time PCR are applied by official food control laboratories. The experiences of 3 European food control laboratories in validating such methods were compared to describe realistic performance characteristics of quantitative PCR detection methods. The limit of quantitation (LOQ) of GMO-specific, real-time PCR was experimentally determined to reach 30-50 target molecules, which is close to theoretical prediction. Starting PCR with 200 ng genomic plant DNA, the LOQ depends primarily on the genome size of the target plant and ranges from 0.02% for rice to 0.7% for wheat. The precision of quantitative PCR detection methods, expressed as relative standard deviation (RSD), varied from 10 to 30%. Using Bt176 corn containing test samples and applying Bt176 specific QC-PCR, mean values deviated from true values by -7to 18%, with an average of 2+/-10%. Ruggedness of real-time PCR detection methods was assessed in an interlaboratory study analyzing commercial, homogeneous food samples. Roundup Ready soybean DNA contents were determined in the range of 0.3 to 36%, relative to soybean DNA, with RSDs of about 25%. Taking the precision of quantitative PCR detection methods into account, suitable sample plans and sample sizes for GMO analysis are suggested. Because quantitative GMO detection methods measure GMO contents of samples in relation to reference material (calibrants), high priority must be given to international agreements and standardization on certified reference materials.

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Mesh:

Year:  2001        PMID: 11767156

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


  10 in total

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2.  Sources of uncertainty in the quantification of genetically modified oilseed rape contamination in seed lots.

Authors:  Graham S Begg; Danny W Cullen; Pietro P M Iannetta; Geoff R Squire
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4.  Standardisation of data from real-time quantitative PCR methods - evaluation of outliers and comparison of calibration curves.

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Journal:  BMC Biotechnol       Date:  2005-12-07       Impact factor: 2.563

5.  Routes to improving the reliability of low level DNA analysis using real-time PCR.

Authors:  Stephen L R Ellison; Claire A English; Malcolm J Burns; Jacquie T Keer
Journal:  BMC Biotechnol       Date:  2006-07-06       Impact factor: 2.563

6.  Critical points of DNA quantification by real-time PCR--effects of DNA extraction method and sample matrix on quantification of genetically modified organisms.

Authors:  Katarina Cankar; Dejan Stebih; Tanja Dreo; Jana Zel; Kristina Gruden
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Authors:  Adam C Faller; Dhivya Shanmughanandhan; Subramanyam Ragupathy; Yanjun Zhang; Zhengfei Lu; Peter Chang; Gary Swanson; Steven G Newmaster
Journal:  Front Plant Sci       Date:  2021-05-24       Impact factor: 5.753

9.  PCR-free detection of genetically modified organisms using magnetic capture technology and fluorescence cross-correlation spectroscopy.

Authors:  Xiaoming Zhou; Da Xing; Yonghong Tang; Wei R Chen
Journal:  PLoS One       Date:  2009-11-26       Impact factor: 3.240

10.  Comparison of different real-time PCR chemistries and their suitability for detection and quantification of genetically modified organisms.

Authors:  Meti Buh Gasparic; Katarina Cankar; Jana Zel; Kristina Gruden
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  10 in total

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