Autor(es):
de Campos, Bruna K. ; Galazzi, Rodrigo M. ; dos Santos, Bruna M. [UNESP] ; Balbuena, Tiago S. [UNESP] ; dos Santos, Fábio N. ; Mokochinski, João B. ; Eberlin, Marcos N. ; Arruda, Marco A.Z.
Data: 2020
Identificador Persistente: http://hdl.handle.net/11449/200712
Origem: Oasisbr
Assunto(s): Generational effect; Mass spectrometry; Metabolite; Protein; Soybean; Transgenic; Generational effect; Generational effect; Mass spectrometry; Mass spectrometry; Metabolite; Metabolite; Protein; Protein; Soybean; Soybean; Transgenic; Transgenic
Descrição
Made available in DSpace on 2020-12-12T02:14:01Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-10-01
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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.
Spectrometry Sample Preparation and Mechanization Group – GEPAM Institute of Chemistry University of Campinas – UNICAMP, P.O. Box 6154
National Institute of Science and Technology for Bioanalytics Institute of Chemistry University of Campinas – UNICAMP, P.O. Box 6154
Department of Technology School of Agricultural and Veterinary Studies State University “Júlio de Mesquita Filho”- UNESP - Jaboticabal
Department of Organic Chemistry Institute of Chemistry University of Campinas – UNICAMP, P.O. Box 6154
London Institute of Medical Sciences Faculty of Medicine Imperial College London UK Research and Innovation
Department of Technology School of Agricultural and Veterinary Studies State University “Júlio de Mesquita Filho”- UNESP - Jaboticabal
FAPESP: 2013/15646-3
FAPESP: 2013/17514-7
FAPESP: 2016/07384-7
FAPESP: 2018/25207-0
CNPq: 401170/2016-0
