Literature DB >> 10490320

IUPAC collaborative trial study of a method to detect genetically modified soy beans and maize in dried powder.

M Lipp1, P Brodmann, K Pietsch, J Pauwels, E Anklam, T Börchers, G Braunschweiger, U Busch, E Eklund, F D Eriksen, J Fagan, A Fellinger, H Gaugitsch, D Hayes, C Hertel, H Hörtner, P Joudrier, L Kruse, R Meyer, M Miraglia, W Müller, P Phillipp, B Pöpping, R Rentsch, A Wurtz.   

Abstract

This paper presents results of a collaborative trial study (IUPAC project No. 650/93/97) involving 29 laboratories in 13 countries applying a method for detecting genetically modified organisms (GMOs) in food. The method is based on using the polymerase chain reaction to determine the 35S promotor and the NOS terminator for detection of GMOs. reference materials were produced that were derived from genetically modified soy beans and maize. Correct identification of samples containing 2% GMOs is achievable for both soy beans and maize. For samples containing 0.5% genetically modified soy beans, analysis of the 35S promotor resulted also in a 100% correct classification. However, 3 false-negative results (out of 105 samples analyzed) were reported for analysis of the NOS terminator, which is due to the lower sensitivity of this method. Because of the bigger genomic DNA of maize, the probability of encountering false-negative results for samples containing 0.5% GMOs is greater for maize than for soy beans. For blank samples (0% GMO), only 2 false-positive results for soy beans and one for maize were reported. These results appeared as very weak signals and were most probably due to contamination of laboratory equipment.

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Year:  1999        PMID: 10490320

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


  22 in total

1.  Detection of genetically modified organisms in food: comparison among three different DNA extraction methods.

Authors:  B Vodret; M Milia; M G Orani; G Serratrice; M R Mancuso
Journal:  Vet Res Commun       Date:  2007-08       Impact factor: 2.459

2.  A specific endogenous reference for genetically modified common bean (Phaseolus vulgaris L.) DNA quantification by real-time PCR targeting lectin gene.

Authors:  Gustavo L Venturelli; Fábio C A Brod; Gabriela B Rossi; Naíra F Zimmermann; Jaison P Oliveira; Josias C Faria; Ana C M Arisi
Journal:  Mol Biotechnol       Date:  2014-11       Impact factor: 2.695

3.  Mapping quantitative trait loci for seed size traits in soybean (Glycine max L. Merr.).

Authors:  Yu Xu; He-Nan Li; Guang-Jun Li; Xia Wang; Li-Guo Cheng; Yuan-Ming Zhang
Journal:  Theor Appl Genet       Date:  2010-10-28       Impact factor: 5.699

4.  Development of a general method for detection and quantification of the P35S promoter based on assessment of existing methods.

Authors:  Yuhua Wu; Yulei Wang; Jun Li; Wei Li; Li Zhang; Yunjing Li; Xiaofei Li; Jun Li; Li Zhu; Gang Wu
Journal:  Sci Rep       Date:  2014-12-08       Impact factor: 4.379

5.  PCR-free quantitative detection of genetically modified organism from raw materials. An electrochemiluminescence-based bio bar code method.

Authors:  Debin Zhu; Yabing Tang; Da Xing; Wei R Chen
Journal:  Anal Chem       Date:  2008-04-03       Impact factor: 6.986

6.  Event-specific qualitative and quantitative PCR methods for the detection of genetically modified rapeseed Oxy-235.

Authors:  Gang Wu; Yuhua Wu; Ling Xiao; Changming Lu
Journal:  Transgenic Res       Date:  2008-02-19       Impact factor: 2.788

7.  Impact of aggressiveness of Fusarium graminearum and F. culmorum isolates on yield parameters and mycotoxin production in wheat.

Authors:  Ulrike Korn; Thomas Müller; Andreas Ulrich; Marina Elsa Herta Müller
Journal:  Mycotoxin Res       Date:  2011-05-11       Impact factor: 3.833

8.  Epistatic association mapping in homozygous crop cultivars.

Authors:  Hai-Yan Lü; Xiao-Fen Liu; Shi-Ping Wei; Yuan-Ming Zhang
Journal:  PLoS One       Date:  2011-03-15       Impact factor: 3.240

9.  An efficient hierarchical generalized linear mixed model for mapping QTL of ordinal traits in crop cultivars.

Authors:  Jian-Ying Feng; Jin Zhang; Wen-Jie Zhang; Shi-Bo Wang; Shi-Feng Han; Yuan-Ming Zhang
Journal:  PLoS One       Date:  2013-04-02       Impact factor: 3.240

10.  Transgenes in Mexican maize: molecular evidence and methodological considerations for GMO detection in landrace populations.

Authors:  A Piñeyro-Nelson; J Van Heerwaarden; H R Perales; J A Serratos-Hernández; A Rangel; M B Hufford; P Gepts; A Garay-Arroyo; R Rivera-Bustamante; E R Alvarez-Buylla
Journal:  Mol Ecol       Date:  2008-12-18       Impact factor: 6.185

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