Version 1
: Received: 10 November 2020 / Approved: 13 November 2020 / Online: 13 November 2020 (09:27:08 CET)
How to cite:
Agapito-Tenfen, S.Z.; Guerra, M.P.; Nodari, R.O.; Wikmark, O. Untargeted Proteomics-Based Approach to Investigate Unintended Changes in Genetically Modified Maize Used for Food and Feed Purposes. Preprints2020, 2020110367. https://doi.org/10.20944/preprints202011.0367.v1
Agapito-Tenfen, S.Z.; Guerra, M.P.; Nodari, R.O.; Wikmark, O. Untargeted Proteomics-Based Approach to Investigate Unintended Changes in Genetically Modified Maize Used for Food and Feed Purposes. Preprints 2020, 2020110367. https://doi.org/10.20944/preprints202011.0367.v1
Agapito-Tenfen, S.Z.; Guerra, M.P.; Nodari, R.O.; Wikmark, O. Untargeted Proteomics-Based Approach to Investigate Unintended Changes in Genetically Modified Maize Used for Food and Feed Purposes. Preprints2020, 2020110367. https://doi.org/10.20944/preprints202011.0367.v1
APA Style
Agapito-Tenfen, S.Z., Guerra, M.P., Nodari, R.O., & Wikmark, O. (2020). Untargeted Proteomics-Based Approach to Investigate Unintended Changes in Genetically Modified Maize Used for Food and Feed Purposes. Preprints. https://doi.org/10.20944/preprints202011.0367.v1
Chicago/Turabian Style
Agapito-Tenfen, S.Z., Rubens Onofre Nodari and Odd-Gunnar Wikmark. 2020 "Untargeted Proteomics-Based Approach to Investigate Unintended Changes in Genetically Modified Maize Used for Food and Feed Purposes" Preprints. https://doi.org/10.20944/preprints202011.0367.v1
Abstract
Profiling technologies, such as proteomics, allow the simultaneous measurement and comparison of thousands of plant components without prior knowledge of their identity. The combination of these non-targeted methods facilitates a more comprehensive approach than targeted methods and thus provides additional opportunities to identify genotypic changes resulting from genetic modification, including new allergens or toxins. The purpose of this study was to investigate unintended changes in GM Bt maize grown in South Africa. In the present study, we used bi-dimensional gel electrophoresis based on fluorescence staining, coupled with mass spectrometry in order to compare the proteome of the field-grown transgenic hybrid (MON810) and its near-isogenic counterpart. Proteomic data showed that energy metabolism and redox homeostasis were unequally modulated in GM Bt and non-GM maize variety samples. In addition, a potential allergenic protein – pathogenesis related protein -1 has been identified in our sample set. These finding highlight the suitability of unbiased profiling approaches to complement current GMO risk assessment practices worldwide.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.