Parallelised real-time PCR for identification of maize GMO events

被引:5
作者
Gerdes, Lars [1 ]
Busch, Ulrich [1 ]
Pecoraro, Sven [1 ]
机构
[1] Bavarian Hlth & Food Safety Author LGL, D-85764 Oberschleissheim, Germany
关键词
Genetically modified organism (GMO); Real-time PCR; Parallel detection; Food control; Feed control; Seed control; GENETICALLY-MODIFIED ORGANISMS; CAPILLARY GEL-ELECTROPHORESIS; SCREENING-ASSAY; VALIDATION;
D O I
10.1007/s00217-011-1634-2
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Identification of specific material derived from genetically modified organisms (GMO) present in food, feed or seed samples screened positive for the presence of genetic modification(s) is mandatory for the official food and feed control in the European Union. Since the introduction of regulation (EC) No 1829/2003 in 2004, the number of maize GMO events either approved in the EU or with a pending application grew constantly. By the sheer multitude of events and crossed events (stacks), maize poses a special challenge on official food and feed control. We developed a modular qualitative detection system for the parallel identification of maize GMO events to cope with the increasing number of GMO potentially present in routine samples. This system is based on validated real-time PCR assays in a microtitre plate format grouped modularly by crop species. The maize module identifies in parallel, i.e. simultaneously, 15 maize events and Roundup-Ready soy in a single analytical run of approximately 2 h. Maize modules can be conveniently prepared in advance and stored at -20 degrees C until use. Ready-to-use reference DNA mixtures serve as positive controls. The modular approach is flexible as it allows easy change or addition of individual detection reactions, if necessary, e. g. when new validated methods become available. 23 food, 14 feed and 8 seed samples were successfully analysed with the maize module. The parallel detection of nine different GMO maize and soy events in single routine samples demonstrated the usefulness of the parallelised modular approach for routine GMO analysis.
引用
收藏
页码:315 / 322
页数:8
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