scholarly journals Validation of PCR Methods for Quantitation of Genetically Modified Plants in Food

2001 ◽  
Vol 84 (6) ◽  
pp. 1855-1864 ◽  
Author(s):  
Philipp Hübner ◽  
Hans-Ullrich Waiblinger ◽  
Klaus Pietsch ◽  
Peter 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 −7 to 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.

2013 ◽  
Vol 141 (3) ◽  
pp. 2618-2624 ◽  
Author(s):  
Kosuke Nakamura ◽  
Hiroshi Akiyama ◽  
Noriaki Kawano ◽  
Tomoko Kobayashi ◽  
Kayo Yoshimatsu ◽  
...  

2004 ◽  
Vol 70 (1) ◽  
pp. 167-173 ◽  
Author(s):  
Takahiro Matsuki ◽  
Koichi Watanabe ◽  
Junji Fujimoto ◽  
Yukiko Kado ◽  
Toshihiko Takada ◽  
...  

ABSTRACT A highly sensitive quantitative PCR detection method has been developed and applied to the distribution analysis of human intestinal bifidobacteria by combining real-time PCR with Bifidobacterium genus- and species-specific primers. Real-time PCR detection of serially diluted DNA extracted from cultured bifidobacteria was linear for cell counts ranging from 106 to 10 cells per PCR assay. It was also found that the method was applicable to the detection of Bifidobacterium in feces when it was present at concentrations of >106 cells per g of feces. Concerning the distribution of Bifidobacterium species in intestinal flora, the Bifidobacterium adolescentis group, the Bifidobacterium catenulatum group, and Bifidobacterium longum were found to be the three predominant species by examination of DNA extracted from the feces of 46 healthy adults. We also examined changes in the population and composition of Bifidobacterium species in human intestinal flora of six healthy adults over an 8-month period. The results showed that the composition of bifidobacterial flora was basically stable throughout the test period.


2003 ◽  
Vol 45 (4) ◽  
pp. 269-271 ◽  
Author(s):  
Susanne Buchbinder ◽  
Rosemarie Blatz ◽  
Arne Christian Rodloff

2019 ◽  
Vol 67 (19) ◽  
pp. 5680-5686 ◽  
Author(s):  
Akiko Miyazaki ◽  
Satoshi Watanabe ◽  
Kyoko Ogata ◽  
Yasuaki Nagatomi ◽  
Ryota Kokutani ◽  
...  

Plant Disease ◽  
2021 ◽  
Author(s):  
Yannan Du ◽  
Meng Wang ◽  
Mingteng Long ◽  
Ye Yang ◽  
Xiaoyu Liang ◽  
...  

Colletotrichum siamense is one of the most important pathogens of rubber trees in Asia. The proper detection and quantification of C. siamense populations in rubber trees are of importance for monitoring the epidemics of the disease. In this study, we developed an ITS-based real-time PCR method to efficiently detect C. siamense infecting rubber tree, which reliably detected as little as 100 fg genomic DNA, 100 copies of target DNA and 20 conidia. The real-time PCR protocol recognized all C. siamense isolates collected from three provinces in China, while no amplification was observed with rubber tree and its other pathogens. Detection and quantification of C. siamense were performed in artificially and naturally infected rubber leaves. We could still detect C. siamense in plant mixes of which only 0.0001% of the tissue infected. An accumulation of C. siamense DNA was observed during the whole infection process at all three leaf phenological stages, suggesting the real-time PCR method can be used to monitor C. siamense development in rubber trees. Finally, the method allowed the detection of C. siamense in naturally infected and symptomless leaves of rubber trees in the fields. Compared with earlier detection methods, the real-time PCR method is more specific and more sensitive, and will be of great use for studies aiming to gain a better understanding of the epidemiology of Colletotrichum leaf disease, as well as the prediction of disease risk and the control proposal.


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