Integração de dados moleculares e químicos para análise da biossíntese de metabólitos especializados em Erythrina velutina Willd

• Ano de defesa: 2024
• Autor(a) principal: Chacon, Daisy Sotero
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Rio Grande do Norte; Brasil; UFRN; PROGRAMA DE PÓS-GRADUAÇÃO EM CIÊNCIAS FARMACÊUTICAS
• Palavras-chave em Português: Erythrina (Erythrina velutina); Transcriptoma; Metaboloma; Alcaloides; Flavonoides; Caatinga; CNPQ::CIENCIAS DA SAUDE::FARMACIA
• Link de acesso: https://repositorio.ufrn.br/handle/123456789/60191

The study of plants is under increasing transformation due to the availability of molecular and bioinformatics tools to understand metabolism and point out potential sources of new bioactive chemical entities with pharmaceutical interest. In this scenario, Erythrina velutina stands out as a medicinal plant found in the northeast region of Brazil, mainly in the Caatinga biome. This plant has a remarkable ability to produce alkaloids and flavonoids, which are the main secondary metabolites of the genus and are often associated with pharmacological activities, such as modulators of the central nervous system (with antidepressant and anxiolytic effects) and anti-inflammatory action. Although some natural products (NP) have been effective as a source of new drugs, the pharmaceutical industry still faces challenges in the identification and optimized production of these compounds and this has led to a reduction in interest in NP-based drugs. In order to minimize these gaps, this study aims to integrate molecular and chemical data to investigate the biosynthesis of the main metabolites present in E. velutina under three aspects: to evaluate the metabolic production in plants collected in natural habitat (Caatinga) and in cultivated plants submitted to different elicitors (ii); identify reference genes that normalize RT-qPCR tests for the species (ii) and evaluate the expression of target genes responsible for the production of alkaloids and flavonoids with bioactive potential (iii). The study focuses on transcriptome, proteome and metabolome data obtained from samples collected in their natural habitat, in addition to seedling cultivation subjected to environmental stresses (temperature, UV, water stress, salt stress and mechanical damage) and phytohormones (methyljasmonate , salicylic acid, nitric oxide and abscisic acid). As a result, the predominant flavonoids observed were flavones, isoflavones, and flavonols, along with several isoquinoline alkaloids from both dienoids and alkenoids. Transcriptome analysis revealed the presence of enzymes involved in the flavonoid and alkaloid biosynthesis pathways, including those differentially expressed, such as EvCHI, EvIF7GT, EvCHS, EvCOR, EvNMT and EvODM. Among the treatments tested, the most significant accumulation of metabolites occurred in response to NO, MeJA, water stress and heat, while ABA caused the least pronounced effect. For normalization of RT-qPCR assays, EvCSTF64, EvRAB7, EvNLE, EvUPF and EvARP4 were identified as the most stable reference genes, while EvNADH and EvPBL27 exhibited lower stability. These genes serve as reliable reference points to ensure accurate normalization of gene expression data in subsequent analyses. The results pointed to NO as crucial in increasing the expression of CHI and the amounts of isoflavones noted. Drought stress negatively affected early precursors of the Erythrina alkaloid pathway, while MeJA had the opposite effect. Exposure to heat increased alkaloid concentrations. This study will contribute to the understanding of the secondary metabolism of plants in the semi-arid/xeric environmental conditions, characteristic of the Caatinga region. In addition, may help to improve the production of bioactive molecules in the species and to value a plant from the Caatinga of Rio Grande do Norte as a source of compounds with pharmaceutical potential. This research represents the first step towards guiding the management for optimal target metabolite production in E. velutina.