NMR-based metabolite profiling of Selaginella convoluta in different hydration states and the unprecedented occurrence of anabasine in lycophytes

Autor(es)

Reginaldo, Fernanda P. Santos ^[1] ; Freire, Rafael ^[2] ; Costa, Isabelly C. M. ^[1] ; da Silva, Ivanice Bezerra ^[1] ; Roque, Alan de Araujo ^[3] ; Hallwass, Fernando ^[4] ; Castro-Gamboa, Ian ^[5] ; Fett-Neto, Arthur Germano ^{[6, 7]} ; Cavalheiro, Alberto J. ^[5] ; Giordani, Raquel B. ^[1]

Afiliação do(s) autor(es)

^[1] Fed Univ Rio Grande Norte UFRN, Dept Pharm, Pharmacognosy Lab, BR-59012570 Natal, RN - Brazil

^[2] Univ Greenwich UoG, Medway Metabon Res Grp, Chatham ME4 4TB, Kent - England

^[3] Dunas Pk Herbarium, Inst Sustainable Dev & Environm, Natal, RN - Brazil

^[4] Fed Univ Pernambuco UFPE, Dept Fundamental Chem, BR-50670901 Recife, PE - Brazil

^[5] Sao Paulo State Univ UNESP, Inst Chem, BR-14800060 Araraquara, SP - Brazil

^[6] Fed Univ Rio Grande Sul UFRGS, Ctr Biotechnol, Plant Physiol Lab, BR-91501970 Porto Alegre, RS - Brazil

^[7] Fed Univ Rio Grande Sul UFRGS, Dept Bot, BR-91501970 Porto Alegre, RS - Brazil

• Tipo de documento: Artigo Científico
• Fonte: PHYTOCHEMISTRY LETTERS; v. 43, p. 75-79, JUN 2021.
• Citações Web of Science: 0

Resumo

Selaginella convoluta is a Brazilian endemic, desiccation tolerant plant with an effective drought-resistance mechanism. Herein, nuclear magnetic resonance (NMR)-based metabolite profiling was used to investigate this species in different hydration states: dried (harvested in the natural semiarid environment) and after rehydration. NMR is a suitable tool for this analysis because it allows the simultaneous detection of secondary and primary metabolites. To support NMR-based metabolite annotation, an in-house database was built by including all the experimental 1H NMR spectral data reported for the natural products previously identified in Selaginella spp. The analysis criteria were related to spectral similarity values based on the algorithm of pattern recognition between the in-house database and the total correlated spectroscopy (1H-1H TOCSY-NMR) experimental data. The in silico strategy with a similarity threshold of 50 %-100 % between the experimental and virtual spectra enabled the annotation of 86 metabolites. Among these, 49 metabolites showed a spectral similarity of 100 %. Notably, the isolation of the pyridine alkaloid anabasine from S. convoluta shoots and its structural assignment provided new chemical information for lycophytes. The multi-edaphoclimatic features of the Caatinga, an exclusively Brazilian semiarid biome, may contribute to an altered metabolite profile associated with desiccation. (AU)

• Processo FAPESP: 14/50926-0 - INCT 2014: biodiversidade e produtos naturais
• Beneficiário: Vanderlan da Silva Bolzani
• Modalidade de apoio: Auxílio à Pesquisa - Programa BIOTA - Temático