A high-throughput method for GMO multi-detection using a microfluidic dynamic array

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• 作者：Fábio Cristiano Angonesi Brod (1)
  Jeroen P. van Dijk (1)
  Marleen M. Voorhuijzen (1)
  Andréia Zilio Dinon (2)
  Luis Henrique S. Guimar?es (3)
  Ingrid M. J. Scholtens (1)
  Ana Carolina Maisonnave Arisi (2)
  Esther J. Kok (1)
  
• 关键词：High throughput ; GMO analysis ; Preamplification ; Fluidigm system
• 刊名：Analytical and Bioanalytical Chemistry
• 出版年：2014
• 出版时间：February 2014
• 年：2014
• 卷：406
• 期：5
• 页码：1397-1410
• 全文大小：508 KB
• 作者单位：Fábio Cristiano Angonesi Brod (1)
  Jeroen P. van Dijk (1)
  Marleen M. Voorhuijzen (1)
  Andréia Zilio Dinon (2)
  Luis Henrique S. Guimar?es (3)
  Ingrid M. J. Scholtens (1)
  Ana Carolina Maisonnave Arisi (2)
  Esther J. Kok (1)
  
  1. RIKILT Wageningen UR, P.O. Box 230, 6700 AE, Wageningen, The Netherlands
  2. Department of Food Science and Technology, Federal University of Santa Catarina, Rod. Admar Gonzaga, 1346, Florianópolis, SC, 880034-001, Brazil
  3. Faculty of Philosophy, Sciences and Letters of Ribeir?o Preto, S?o Paulo University, Avenida Bandeirantes 3900, Monte Alegre, Ribeir?o Preto, SP, 14040-901, Brazil
  
• ISSN：1618-2650

文摘

The ever-increasing production of genetically modified crops generates a demand for high-throughput DNA-based methods for the enforcement of genetically modified organisms (GMO) labelling requirements. The application of standard real-time PCR will become increasingly costly with the growth of the number of GMOs that is potentially present in an individual sample. The present work presents the results of an innovative approach in genetically modified crops analysis by DNA based methods, which is the use of a microfluidic dynamic array as a high throughput multi-detection system. In order to evaluate the system, six test samples with an increasing degree of complexity were prepared, preamplified and subsequently analysed in the Fluidigm system. Twenty-eight assays targeting different DNA elements, GM events and species-specific reference genes were used in the experiment. The large majority of the assays tested presented expected results. The power of low level detection was assessed and elements present at concentrations as low as 0.06?% were successfully detected. The approach proposed in this work presents the Fluidigm system as a suitable and promising platform for GMO multi-detection.