Erythrina velutina Willd. alkaloids : piecing biosynthesis together from transcriptome analysis and metabolite profiling of seeds and leaves

• Autor(a) principal: Chacon, Daisy Sotero
• Data de Publicação: 2021
• Outros Autores: Torres, Taffarel Melo, Silva, Ivanice Bezerra da, Roque, Alan de Araújo, Reginaldo, Fernanda Priscila Santos, Costa, Cibele Tesser da, Vilasboa, Johnatan, Freire, Rafael Teixeira, Voigt, Eduardo Luiz, Zuanazzi, Jose Angelo Silveira, Santos, Renata Libonati dos, Rodrigues, Julia Abrantes, Santos, Filippe Lemos Maia, Scortecci, Katia Castanho, Lopes, Norberto Peporine, Ferreira, Leandro de Santis, Santos, Leandro Vieira dos, Cavalheiro, Alberto J., Fett Neto, Arthur Germano, Giordani, Raquel Brandt
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UFRGS
• Texto Completo: http://hdl.handle.net/10183/249582
• topic: Transcriptoma; Erythrina velutina; Transcriptome; Targeted metabolite profile; Benzylisoquinoline Alkaloids; Caatinga

Introduction: Natural products of pharmaceutical interest often do not reach the drug market due to the associated low yields and difficult extraction. Knowledge of biosynthetic pathways is a key element in the development of biotechnological strategies for plant specialized metabolite production. Erythrina species are mainly used as central nervous system depressants in folk medicine and are important sources of bioactive tetracyclic benzylisoquinoline alkaloids (BIAs), which can act on several pathology-related biological targets. Objectives: In this sense, in an unprecedented approach used with a non-model Fabaceae species grown in its unique arid natural habitat, a combined transcriptome and metabolome analyses (seeds and leaves) is presented. Methods: The Next Generation Sequencing-based transcriptome (de novo RNA sequencing) was carried out in a NextSeq 500 platform. Regarding metabolite profiling, the High-resolution Liquid Chromatography was coupled to DAD and a micrOTOF-QII mass spectrometer by using electrospray ionization (ESI) and Time of Flight (TOF) analyzer. The tandem MS/MS data were processed and analyzed through Molecular Networking approach. Results: This detailed macro and micromolecular approach applied to seeds and leaves of E. velutina revealed 42 alkaloids, several of them unique. Based on the combined evidence, 24 gene candidates were put together in a putative pathway leading to the singular alkaloid diversity of this species. Conclusion: Overall, these results could contribute by indicating potential biotechnological targets formodulation of erythrina alkaloids biosynthesis as well as improve molecular databases with omic data from a non-model medicinal plant, and reveal an interesting chemical diversity of Erythrina BIA harvested in Caatinga.