Skip to main content
Log in

Visual DNA microarray coupled with multiplex-PCR for the rapid detection of twelve genetically modified maize

  • Original Article
  • Published:
BioChip Journal Aims and scope Submit manuscript

Abstract

We herein developed a visual DNA microarray system coupled with multiplex PCR (m-PCR) to rapidly detect twelve genetically modified maize (GMM). The microarray comprised short oligonucleotide probes complimentary to the specific gene region for twelve different GMM. The m-PCR products annealed to the microarray probe were reacted with streptavidin-alkaline phosphatase conjugate and nitro blue tetrazolium/5-bromo-4-chloro-3ʹ-indolylphos-phate, p-toluidine salt (NBT/BCIP), resulting in blue spots that are easily visualized by unaided eyes for qualitative analysis. To ensure the reliability of this method, positive and negative hybridization controls were used in DNA microarray. Commercial GM materials (GMM: Bt176, Bt11, MON810, GA21, T25, MON88017, NK603, MON863, MON89034, DAS-59122-7, TC1507, MIR604; GM cotton: (MON1445, MON15985); GM soybean (Monsanto Roundup Ready soybean 40-3-2)) and non-GM materials were identified by this method and further confirmed by PCR and sequencing. The results showed that each probe consistently identified its corresponding GMM target very quickly and in a cost-effective and more time efficient way. The limit of detection is 0.5% for Bt176, Bt11, T25, MON88017, DAS59122-7, MON89034 and 1% for MON810, MIR604, GA21, MON863, NK603, TC1507. This method is advantageous because of rapid detection, cost-effectiveness and ease of use. These high specificity and sensitivity results demonstrate the feasibility of using this method in routine analysis of GMOs.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Marmiroli, N. et al. Methods for detection of GMOs in food and feed. Anal. Bioanal. Chem. 392, 369–384 (2008).

    Article  CAS  Google Scholar 

  2. Meric, S., Cakir, O., Turgut-Kara, N. & Ari, S. Detection of genetically modified maize and soybean in feed samples. Gen. Mol. Res. 13, 1160–1168 (2014).

    Article  CAS  Google Scholar 

  3. Miraglia, M. et al. Detection and traceability of genetically modified organisms in the food production chain. Food Chem. Toxicol. 42, 1157–1180 (2004).

    Article  CAS  Google Scholar 

  4. Nadal, A. et al. A new PCR-CGE (size and color) method for simultaneous detection of genetically modified maize events. Electrophoresis 27, 3879–3888 (2006).

    Article  CAS  Google Scholar 

  5. Nadal, A., Esteve, T. & Pla, M. Multiplex polymerase chain reaction-capillary gel electrophoresis: a promising tool for GMO screening—assay for simultaneous detection of five genetically modified cotton events and species. J. AOAC Int. 92, 765–772 (2009).

    CAS  Google Scholar 

  6. Armstrong, T.A. et al. Quantification of transgene-derived double-stranded RNA in plants using the QuantiGene nucleic acid detection platform. J. Agric. Food Chem. 61, 12557–12564 (2013).

    Article  CAS  Google Scholar 

  7. Huang, X. et al. Rapid visual detection of phytase gene in genetically modified maize using loop-mediated isothermal amplification method. Food Chem. 156, 184–189 (2014).

    Article  CAS  Google Scholar 

  8. Randhawa, G.J., Singh, M., Sood, P. & Bhoge, R.K. Multitarget real-time PCR-based system: monitoring for unauthorized genetically modified events in India. J. Agric. Food Chem. 62, 7118–7130 (2014).

    Article  CAS  Google Scholar 

  9. Matsuoka, T. et al. A multiplex PCR method of detecting recombinant DNAs from five lines of genetically modified maize. Shokuhin Eiseigaku Zasshi 42, 24–32 (2001).

    Article  CAS  Google Scholar 

  10. Permingeat, H.R., Reggiardo, M.I. & Vallejos, R.H. Detection and quantification of transgenes in grains by multiplex and real-time PCR. J. Agric. Food Chem. 50, 4431–4436 (2002).

    Article  CAS  Google Scholar 

  11. Leimanis, S. et al. A microarray-based detection system for genetically modified (GM) food ingredients. Plant Mol. Biol. 61, 123–139 (2006).

    Article  CAS  Google Scholar 

  12. Shao, N. et al. MACRO: a combined microchip-PCR and microarray system for high-throughput monitoring of genetically modified organisms. Anal. Chem. 86, 1269–1276 (2014).

    Article  CAS  Google Scholar 

  13. Xu, J. et al. Screening genetically modified organisms using multiplex-PCR coupled with oligonucleotide microarray. Biosensors Bioelectron. 22, 71–77 (2006).

    Article  CAS  Google Scholar 

  14. Xu, J. et al. Event-specific detection of seven genetically modified soybean and maizes using multiplex-PCR coupled with oligonucleotide microarray. J. Agric. Food Chem. 55, 5575–5579 (2007).

    Article  CAS  Google Scholar 

  15. Chang, C.I. et al. Simultaneous detection of multiple fish pathogens using a naked-eye readable DNA microarray. Sensors (Basel) 12, 2710–2728 (2012).

    Article  CAS  Google Scholar 

  16. Feng, J. et al. Establishment and preliminary application of oligonucleotide microarray assay for detection of food-borne toxigenic microorganisms. Eur. Food Res. Technol. 236, 1073–1083 (2013).

    Article  CAS  Google Scholar 

  17. Chen, S.H. et al. UPS 2.0: unique probe selector for probe design and oligonucleotide microarrays at the pangenomic/genomic level. BMC Genomics 11, S6 (2010).

    Article  CAS  Google Scholar 

  18. Chen, S.H. et al. The unique probe selector: a comprehensive web service for probe design and oligonucleotide arrays. BMC Bioinformatics 9, S8 (2008).

    Article  Google Scholar 

  19. Kim, J.-H. et al. Detection of sixteen genetically modified maize events in processed foods using four eventspecific pentaplex PCR systems. Food Control 35, 345–353 (2014).

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yongjin Li.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, Y., Xiong, T., Wu, H. et al. Visual DNA microarray coupled with multiplex-PCR for the rapid detection of twelve genetically modified maize. BioChip J 10, 42–47 (2016). https://doi.org/10.1007/s13206-016-0106-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13206-016-0106-y

Keywords

Navigation