Metabolomic Strategies Based on High-Resolution Mass Spectrometry as a Tool for Recognition of GMO (MON 89788 Variety) and Non-GMO Soybean: a Critical Assessment of Two Complementary Methods

  • Vojtech Hrbek
  • Veronika Krtkova
  • Josep Rubert
  • Hana Chmelarova
  • Katerina Demnerova
  • Jaroslava Ovesna
  • Jana Hajslova
Article

Abstract

This study was focused on distinguishing of genetically modified organism (Monsanto 89788 variety) and conventional soybeans by employing high-resolution mass spectrometry (HRMS) techniques for non-target screening of sample extracts. Two hyphenated instrumental platforms represented by (i) ultrahigh-performance liquid chromatography (U-HPLC) coupled to quadrupole/time of flight and (ii) ambient mass spectrometry with direct analysis in real time (DART) ion source-coupled OrbitrapMS were used. The statistical processing of generated data (metabolomic fingerprints) was performed by multivariate data analysis; principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) showed that both employed techniques enabled correct classification of genetically modified and conventional soybeans. In addition, some phosphatidylcholines and sugars were identified as the most significant markers.

Keywords

Soybean Genetically modified organism Metabolomics High-resolution mass spectrometry Fingerprinting 

Supplementary material

12161_2017_929_MOESM1_ESM.tif (332 kb)
Figure S1Examples of U-HPLC-ESI (+)-QTOFMS chromatographic records for free and bound forms of phytoestrogens present in soybean samples - 80% aqueous methanolic extract of conventional soybean sample. (TIFF 331 kb)
12161_2017_929_Fig6_ESM.gif (196 kb)

High Resolution Image (GIF 195 kb)

12161_2017_929_MOESM2_ESM.tif (714 kb)
Figure S2Permutation plots for the data obtained by U-HPLC-HRMS analysis of GMO and non-GMO soybean samples in both ionization modes. (TIFF 713 kb)
12161_2017_929_Fig7_ESM.gif (283 kb)

High Resolution Image (GIF 283 kb)

12161_2017_929_MOESM3_ESM.tif (790 kb)
Figure S3Permutation plots for the data obtained by DART-HRMS analysis of GMO and non-GMO soybean samples in both ionization modes. (TIFF 790 kb)
12161_2017_929_Fig8_ESM.gif (278 kb)

High Resolution Image (GIF 277 kb)

12161_2017_929_MOESM4_ESM.tif (993 kb)
Figure S4Chemometric analysis of data generated by LC-MS and DART-MS for conventional (grey), GMO (black) soybean samples and quality control (QC) samples (red triangles), PCA in positive and negative mode. (TIFF 992 kb)
12161_2017_929_Fig9_ESM.gif (351 kb)

High Resolution Image (GIF 350 kb)

12161_2017_929_MOESM5_ESM.tif (268 kb)
Figure S5S-plot of features (LC-ESI-HRMS analysis in positive mode) - ´markers´ with the highest importance for classification are highlighted in the black ovals. (TIFF 267 kb)
12161_2017_929_Fig10_ESM.gif (156 kb)

High Resolution Image (GIF 155 kb)

12161_2017_929_MOESM6_ESM.tif (357 kb)
Figure S6VIP plots for data obtained by both techniques in both ionization modes. (TIFF 356 kb)
12161_2017_929_Fig11_ESM.gif (122 kb)

High Resolution Image (GIF 121 kb)

12161_2017_929_MOESM7_ESM.tif (1.3 mb)
Figure S7Trend plots for data obtained by both techniques (LC-MS and DART-MS) in both ionization modes for conventional (grey) and GMO (black) soybean samples. (TIFF 1289 kb)
12161_2017_929_Fig12_ESM.gif (382 kb)

High Resolution Image (GIF 381 kb)

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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  • Vojtech Hrbek
    • 1
  • Veronika Krtkova
    • 1
  • Josep Rubert
    • 1
  • Hana Chmelarova
    • 1
  • Katerina Demnerova
    • 2
  • Jaroslava Ovesna
    • 3
  • Jana Hajslova
    • 1
  1. 1.Faculty of Food and Biochemical Technology, Department of Food Analysis and NutritionUniversity of Chemistry and Technology, PraguePrague 6Czech Republic
  2. 2.Faculty of Food and Biochemical Technology, Department of Biochemistry and MicrobiologyUniversity of Chemistry and Technology, PraguePrague 6Czech Republic
  3. 3.Crop Research Institute, PraguePrague 6Czech Republic

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