Comparison of generational effect on proteins and metabolites in non-transgenic and transgenic soybean seeds through the insertion of the cp4-EPSPS gene assessed by omics-based platforms

Comparison of generational effect on proteins and metabolites in non-transgenic and transgenic soybean seeds through the insertion of the cp4-EPSPS gene assessed by omics-based platforms

This work evaluates different generations of transgenic (cp4-EPSPS gene) and non-transgenic soybean plants through proteomics and metabolomics. For proteomics purpose, 24 differentially abundant protein spots were found through 2-D DIGE, being 4 belonging to transgenic plants. From this total, 19 we...

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Bibliographic Details
Published in:Ecotoxicology and environmental safety Vol. 202; p. 110918
Main Authors: de Campos, Bruna K., Galazzi, Rodrigo M., dos Santos, Bruna M., Balbuena, Tiago S., dos Santos, Fábio N., Mokochinski, João B., Eberlin, Marcos N., Arruda, Marco A.Z.
Format: Journal Article
Language:English
Published: Netherlands Elsevier Inc 01-10-2020
Subjects:
Generational effect
Glycine max - genetics
Glycine max - metabolism
Glycine max - physiology
Mass spectrometry
Metabolite
Metabolomics
Plants, Genetically Modified - metabolism
Plants, Genetically Modified - physiology
Protein
Proteomics
Seeds - metabolism
Soybean
Transgenic
Transgenic
Generational effect
Soybean
Metabolite
Mass spectrometry
Protein
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Summary:This work evaluates different generations of transgenic (cp4-EPSPS gene) and non-transgenic soybean plants through proteomics and metabolomics. For proteomics purpose, 24 differentially abundant protein spots were found through 2-D DIGE, being 4 belonging to transgenic plants. From this total, 19 were successfully identified, storage proteins as predominant class. Some identified proteins are involved in growing and cell division, and stress response, such as LEA and dehydrin. For metabolomics, 17 compounds were putatively annotated, mainly belonging to the secondary metabolism, such as flavonoids. From these analyzes, all generations and varieties of the soybean are prone to be differentiate by PLS-DA. According to our results, transgenic plants appear to be more stable than non-transgenic ones. In addition, the omics-based approaches allowed access some relations between those differential spot proteins and metabolites, mainly those storage proteins and flavonoid. [Display omitted] •Generational effects on soybean culture were evaluated.•Proteomics and metabolomics analysis were performed.•Some proteins and metabolites were differentially found.•PLS-DA differentiated generations and varieties of soybean.•Correlations between proteins and metabolites were made.
ISSN:0147-6513
1090-2414
DOI:10.1016/j.ecoenv.2020.110918