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Application of ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS) metabolomic fingerprinting to characterise GM and conventional maize varieties

Author

Listed:
  • Lukáš VÁCLAVÍK

    (Department of Food Analysis and Nutrition, Faculty of Food and Biochemical Technology, Institute of Chemical Technology Prague, Prague, Czech Republic,)

  • Jaroslava OVESNÁ

    (Department of Molecular Biology, Division of Plant Genetics, Breeding and Product Quality, Crop Research Institute, Prague, Czech Republic,)

  • Ladislav KUČERA

    (Department of Molecular Biology, Division of Plant Genetics, Breeding and Product Quality, Crop Research Institute, Prague, Czech Republic,)

  • Jan HODEK

    (Department of Molecular Biology, Division of Plant Genetics, Breeding and Product Quality, Crop Research Institute, Prague, Czech Republic,)

  • Kateřina DEMNEROVÁ
  • Jana HAJŠLOVÁ

    (Department of Food Analysis and Nutrition, Faculty of Food and Biochemical Technology, Institute of Chemical Technology Prague, Prague, Czech Republic,)

Abstract

The feasibility of metabolomic fingerprinting approach based on ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry (UHPLC-QTOFMS) was studied to assess its ability to discriminate between maize varieties, and to show the associations between them on the metabolomic level. The non-targeted metabolomic analysis was applied to assess the variability within two varieties grown under different environmental conditions and to characterise the association within a sample set comprising both conventional and transgenic (MON-ØØ81Ø-6) maize varieties cultivated under the same environmental conditions (locality). Typical metabolomic fingerprints were established for individual plants. The plants representing two varieties formed well separated clusters. Metabolomic fingerprints of the second sample set enabled their unambiguous discrimination. The differences in metabolomic fingerprints between maize varieties were identified and documented by grouping in PCA and/or CA. The results indicate a similar genetic basis of transgenic maize varieties as they descend from a MON 810 event. The results explicitly showed that the variability of the metabolites in MON 810 did not exceed the ranges measured within the conventional varieties, thus supporting the concept of substantial equivalence.

Suggested Citation

  • Lukáš VÁCLAVÍK & Jaroslava OVESNÁ & Ladislav KUČERA & Jan HODEK & Kateřina DEMNEROVÁ & Jana HAJŠLOVÁ, 2013. "Application of ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS) metabolomic fingerprinting to characterise GM and conventional maize varieties," Czech Journal of Food Sciences, Czech Academy of Agricultural Sciences, vol. 31(4), pages 368-375.
    • Handle: RePEc:caa:jnlcjf:v:31:y:2013:i:4:id:177-2013-cjfs
    DOI: 10.17221/177/2013-CJFS
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    References listed on IDEAS

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    1. Jaroslava Ovesná & Ladislav Kučera & Jan Hodek & Kateřina Demnerová, 2010. "Reliability of PCR based screening for identification and quantification of GMOs," Czech Journal of Food Sciences, Czech Academy of Agricultural Sciences, vol. 28(2), pages 133-138.
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