Your browser doesn't support javascript.
loading
Non-target molecular network and putative genes of flavonoid biosynthesis in Erythrina velutina Willd., a Brazilian semiarid native woody plant.
Chacon, Daisy Sotero; Santos, Marlon Dias Mariano; Bonilauri, Bernardo; Vilasboa, Johnatan; da Costa, Cibele Tesser; da Silva, Ivanice Bezerra; Torres, Taffarel de Melo; de Araújo, Thiago Ferreira; Roque, Alan de Araújo; Pilon, Alan Cesar; Selegatto, Denise Medeiros; Freire, Rafael Teixeira; Reginaldo, Fernanda Priscila Santos; Voigt, Eduardo Luiz; Zuanazzi, José Angelo Silveira; Scortecci, Kátia Castanho; Cavalheiro, Alberto José; Lopes, Norberto Peporine; Ferreira, Leandro De Santis; Dos Santos, Leandro Vieira; Fontes, Wagner; de Sousa, Marcelo Valle; Carvalho, Paulo Costa; Fett-Neto, Arthur Germano; Giordani, Raquel Brandt.
Afiliação
  • Chacon DS; Department of Pharmacy, Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil.
  • Santos MDM; Computational and Structural Proteomics Laboratory, Carlos Chagas Institute, Fiocruz, PR, Brazil.
  • Bonilauri B; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, United States.
  • Vilasboa J; Plant Physiology Laboratory, Center for Biotechnology and Department of Botany, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil.
  • da Costa CT; Plant Physiology Laboratory, Center for Biotechnology and Department of Botany, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil.
  • da Silva IB; Department of Pharmacy, Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil.
  • Torres TM; Bioinformatics, Biostatistics and Computer Biology Nucleus, Rural Federal University of the Semiarid, Mossoró, RN, Brazil.
  • de Araújo TF; Department of Pharmacy, Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil.
  • Roque AA; Institute for Sustainable Development and Environment, Dunas Park Herbarium, Natal, RN, Brazil.
  • Pilon AC; NPPNS, Department of Biomolecular Sciences, Faculty of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo (FCFRP-USP), Ribeirão Preto, SP, Brazil.
  • Selegatto DM; Zimmermann Group, European Molecular Biology Laboratory (EMBL), Structural and Computational Biology Unit, Heidelberg, Germany.
  • Freire RT; Signal and Information Processing for Sensing Systems, Institute for Bioengineering of Catalonia (IBEC), Barcelona Institute of Science and Technology, Barcelona, Spain.
  • Reginaldo FPS; Institute of Biology, Leiden University, Leiden, Netherlands.
  • Voigt EL; Department of Cell Biology and Genetics, Center for Biosciences, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
  • Zuanazzi JAS; Laboratory of Pharmacognosy, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil.
  • Scortecci KC; Department of Cell Biology and Genetics, Center for Biosciences, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
  • Cavalheiro AJ; Chemistry Institute, São Paulo State University (UNESP), Araraquara, SP, Brazil.
  • Lopes NP; NPPNS, Department of Biomolecular Sciences, Faculty of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo (FCFRP-USP), Ribeirão Preto, SP, Brazil.
  • Ferreira LS; Department of Pharmacy, Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil.
  • Dos Santos LV; Genetics and Molecular Biology Graduate Program, Institute of Biology, University of Campinas, Campinas, Brazil.
  • Fontes W; Laboratory of Protein Chemistry and Biochemistry, Department of Cell Biology, University of Brasilia, Brasilia, DF, Brazil.
  • de Sousa MV; Laboratory of Protein Chemistry and Biochemistry, Department of Cell Biology, University of Brasilia, Brasilia, DF, Brazil.
  • Carvalho PC; Computational and Structural Proteomics Laboratory, Carlos Chagas Institute, Fiocruz, PR, Brazil.
  • Fett-Neto AG; Plant Physiology Laboratory, Center for Biotechnology and Department of Botany, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil.
  • Giordani RB; Department of Pharmacy, Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil.
Front Plant Sci ; 13: 947558, 2022.
Article em En | MEDLINE | ID: mdl-36161018
ABSTRACT
Erythrina velutina is a Brazilian native tree of the Caatinga (a unique semiarid biome). It is widely used in traditional medicine showing anti-inflammatory and central nervous system modulating activities. The species is a rich source of specialized metabolites, mostly alkaloids and flavonoids. To date, genomic information, biosynthesis, and regulation of flavonoids remain unknown in this woody plant. As part of a larger ongoing research goal to better understand specialized metabolism in plants inhabiting the harsh conditions of the Caatinga, the present study focused on this important class of bioactive phenolics. Leaves and seeds of plants growing in their natural habitat had their metabolic and proteomic profiles analyzed and integrated with transcriptome data. As a result, 96 metabolites (including 43 flavonoids) were annotated. Transcripts of the flavonoid pathway totaled 27, of which EvCHI, EvCHR, EvCHS, EvCYP75A and EvCYP75B1 were identified as putative main targets for modulating the accumulation of these metabolites. The highest correspondence of mRNA vs. protein was observed in the differentially expressed transcripts. In addition, 394 candidate transcripts encoding for transcription factors distributed among the bHLH, ERF, and MYB families were annotated. Based on interaction network analyses, several putative genes of the flavonoid pathway and transcription factors were related, particularly TFs of the MYB family. Expression patterns of transcripts involved in flavonoid biosynthesis and those involved in responses to biotic and abiotic stresses were discussed in detail. Overall, these findings provide a base for the understanding of molecular and metabolic responses in this medicinally important species. Moreover, the identification of key regulatory targets for future studies aiming at bioactive metabolite production will be facilitated.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies País/Região como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies País/Região como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2022 Tipo de documento: Article