Optimised padlock probe ligation and microarray detection of multiple (non-authorised) GMOs in a single reaction

被引:29
作者
Prins, Theo W. [1 ]
van Dijk, Jeroen P. [1 ]
Beenen, Henriek G. [1 ]
Van Hoef, A. M. Angeline [1 ]
Voorhuijzen, Marleen M. [1 ]
Schoen, Cor D. [2 ]
Aarts, Henk J. M. [1 ]
Kok, Esther J. [1 ]
机构
[1] RIKILT Inst Food Safety WUR, NL-6708 PD Wageningen, Netherlands
[2] Plant Res Int BV WUR, NL-6708 PB Wageningen, Netherlands
关键词
D O I
10.1186/1471-2164-9-584
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background: To maintain EU GMO regulations, pro ducers of new GM crop varieties need to supply an event-specific method for the new variety. As a result methods are nowadays available for EU-authorised genetically modified organisms (GMOs), but only to a limited extent for EU-non-authorised GMOs (NAGs). In the last decade the diversity of genetically modified (GM) ingredients in food and feed has increased significantly. As a result of this increase GMO laboratories currently need to apply many different methods to establish to potential presence of NAGs in raw materials and complex derived products. Results: In this paper we present an innovative method for detecting (approved) GMOs as well as the potential presence of NAGs in complex DNA samples containing different crop species. An optimised protocol has been developed for padlock probe ligation in combination with microarray detection (PPLMD) that can easily be scaled up. Linear padlock probes targeted against GMO-events, -elements and -species have been developed that can hybridise to their genomic target DNA and are visualised using microarray hybridisation. In a tenplex PPLMD experiment, different genomic targets in Roundup-Ready soya, MON1445 cotton and Bt176 maize were detected down to at least 1%. In single experiments, the targets were detected down to 0.1%, i.e. comparable to standard qPCR. Conclusion: Compared to currently available methods this is a significant step forward towards multiplex detection in complex raw materials and derived products. It is shown that the PPLMD approach is suitable for large-scale detection of GMOs in real-life samples and provides the possibility to detect and/or identify NAGs that would otherwise remain undetected.
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页数:12
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