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

Bruna K de Campos; Rodrigo M Galazzi; Bruna M Dos Santos; Tiago S Balbuena; Fábio N Dos Santos; João B Mokochinski; Marcos N Eberlin; Marco A Z Arruda

doi:10.1016/j.ecoenv.2020.110918

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

Ecotoxicol Environ Saf. 2020 Oct 1:202:110918. doi: 10.1016/j.ecoenv.2020.110918. Epub 2020 Jul 4.

Authors

Bruna K de Campos¹, Rodrigo M Galazzi¹, Bruna M Dos Santos², Tiago S Balbuena², Fábio N Dos Santos³, João B Mokochinski⁴, Marcos N Eberlin³, Marco A Z Arruda⁵

Affiliations

¹ Spectrometry, Sample Preparation and Mechanization Group - GEPAM, Institute of Chemistry, University of Campinas - UNICAMP, P.O. Box 6154, Campinas, SP, 13083-970, Brazil; National Institute of Science and Technology for Bioanalytics, Institute of Chemistry, University of Campinas - UNICAMP, P.O. Box 6154, Campinas, SP, 13083-970, Brazil.
² Department of Technology, School of Agricultural and Veterinary Studies, State University "Júlio de Mesquita Filho"- UNESP - Jaboticabal, SP, 14884- 900, Brazil.
³ Department of Organic Chemistry, Institute of Chemistry, University of Campinas - UNICAMP, P.O. Box 6154, Campinas, SP, 13083-970, Brazil.
⁴ London Institute of Medical Sciences, Faculty of Medicine Imperial College London, UK Research and Innovation, London, W12 0NN, United Kingdom.
⁵ Spectrometry, Sample Preparation and Mechanization Group - GEPAM, Institute of Chemistry, University of Campinas - UNICAMP, P.O. Box 6154, Campinas, SP, 13083-970, Brazil; National Institute of Science and Technology for Bioanalytics, Institute of Chemistry, University of Campinas - UNICAMP, P.O. Box 6154, Campinas, SP, 13083-970, Brazil. Electronic address: zezzi@unicamp.br.

PMID: 32800253
DOI: 10.1016/j.ecoenv.2020.110918

Abstract

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.

Keywords: Generational effect; Mass spectrometry; Metabolite; Protein; Soybean; Transgenic.

MeSH terms

Glycine max / genetics
Glycine max / metabolism
Glycine max / physiology*
Metabolomics
Plants, Genetically Modified / metabolism
Plants, Genetically Modified / physiology*
Proteomics
Seeds / metabolism