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Metabolic Pathway Reconstruction Indicates the Presence of Important Medicinal Compounds in Coffea Such as L-DOPA.
Cherubino Ribeiro, Thales Henrique; de Oliveira, Raphael Ricon; das Neves, Taís Teixeira; Santiago, Wilder Douglas; Mansur, Bethania Leite; Saczk, Adelir Aparecida; Vilela de Resende, Mario Lucio; Chalfun-Junior, Antonio.
Afiliação
  • Cherubino Ribeiro TH; Laboratory of Plant Molecular Physiology, Plant Physiology Sector, Department of Biology, Federal University of Lavras (UFLA), Lavras 37200-000, Brazil.
  • de Oliveira RR; Laboratory of Plant Molecular Physiology, Plant Physiology Sector, Department of Biology, Federal University of Lavras (UFLA), Lavras 37200-000, Brazil.
  • das Neves TT; Plant Physiology Sector, Department of Biology, Federal University of Lavras (UFLA), Lavras 37200-000, Brazil.
  • Santiago WD; National Institute of Coffee Science and Technology (INCT-CAFÉ), Federal University of Lavras (UFLA), Lavras 37200-000, Brazil.
  • Mansur BL; Multiuser Instrumental Analysis Laboratory (LabMAI), Federal University of Lavras (UFLA), Lavras 37200-000, Brazil.
  • Saczk AA; Analytical and Electroanalytical Laboratory (LAE), Federal University of Lavras (UFLA), Lavras 37200-000, Brazil.
  • Vilela de Resende ML; Plant Pathology Department, Federal University of Lavras (UFLA), Lavras 37200-000, Brazil.
  • Chalfun-Junior A; Laboratory of Plant Molecular Physiology, Plant Physiology Sector, Department of Biology, Federal University of Lavras (UFLA), Lavras 37200-000, Brazil.
Int J Mol Sci ; 24(15)2023 Aug 05.
Article em En | MEDLINE | ID: mdl-37569839
The use of transcriptomic data to make inferences about plant metabolomes is a useful tool to help the discovery of important compounds in the available biodiversity. To unveil previously undiscovered metabolites of Coffea, of phytotherapeutic and economic value, we employed 24 RNAseq libraries. These libraries were sequenced from leaves exposed to a diverse range of environmental conditions. Subsequently, the data were meticulously processed to create models of putative metabolic networks, which shed light on the production of potential natural compounds of significant interest. Then, we selected one of the predicted compounds, the L-3,4-dihydroxyphenylalanine (L-DOPA), to be analyzed by LC-MS/MS using three biological replicates of flowers, leaves, and fruits from Coffea arabica and Coffea canephora. We were able to identify metabolic pathways responsible for producing several compounds of economic importance. One of the identified pathways involved in isoquinoline alkaloid biosynthesis was found to be active and producing L-DOPA, which is a common product of POLYPHENOL OXIDASES (PPOs, EC 1.14.18.1 and EC 1.10.3.1). We show that coffee plants are a natural source of L-DOPA, a widely used medicine for treatment of the human neurodegenerative condition called Parkinson's disease. In addition, dozens of other compounds with medicinal significance were predicted as potential natural coffee products. By further refining analytical chemistry techniques, it will be possible to enhance the characterization of coffee metabolites, enabling a deeper understanding of their properties and potential applications in medicine.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Int J Mol Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Int J Mol Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça