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

2021; Elsevier BV; Volume: 34; Linguagem: Inglês

10.1016/j.jare.2021.01.017

2090-1232

Daisy Sotero Chacon, Taffarel Melo Torres, Ivanice Bezerra da Silva, Thiago Ferreira de Araújo, Alan de Araújo Roque, Francisco Ayrton Senna Domingos Pinheiro, Denise Medeiros Selegato, Alan César Pilon, Fernanda Priscila Santos Reginaldo, Cibele Tesser da Costa, Johnatan Vilasboa, Rafael Teixeira Freire, Eduardo Luiz Voigt, José Ângelo Silveira Zuanazzi, Renata Libonati, Julia A. Rodrigues, Filippe L.M. Santos, Kátia Castanho Scortecci, Norberto Peporine Lopes, Leandro De Santis Ferreira, Leandro Vieira dos Santos, Alberto José Cavalheiro, Arthur Germano Fett‐Neto, Raquel Brandt Giordani,

Plant Gene Expression Analysis

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. 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. 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. 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. Overall, these results could contribute by indicating potential biotechnological targets for modulation 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.