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

dc.contributor.authorSantos Reginaldo, Fernanda P.
dc.contributor.authorFreire, Rafael
dc.contributor.authorCosta, Isabelly C.M.
dc.contributor.authorda Silva, Ivanice Bezerra
dc.contributor.authorde Araújo Roque, Alan
dc.contributor.authorHallwass, Fernando
dc.contributor.authorCastro-Gamboa, Ian [UNESP]
dc.contributor.authorFett-Neto, Arthur Germano
dc.contributor.authorCavalheiro, Alberto J. [UNESP]
dc.contributor.authorGiordani, Raquel B.
dc.contributor.institutionFederal University of Rio Grande do Norte (UFRN)
dc.contributor.institutionUniversity of Greenwich (UoG)
dc.contributor.institutionInstitute for Sustainable Development and Environment
dc.contributor.institutionUniversidade Federal de Pernambuco (UFPE)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionFederal University of Rio Grande do Sul (UFRGS)
dc.date.accessioned2021-06-25T11:15:17Z
dc.date.available2021-06-25T11:15:17Z
dc.date.issued2021-06-01
dc.description.abstractSelaginella 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.en
dc.description.affiliationPharmacognosy Laboratory Department of Pharmacy Federal University of Rio Grande do Norte (UFRN)
dc.description.affiliationMedway Metabonomics Research Group University of Greenwich (UoG)
dc.description.affiliationInstitute for Sustainable Development and Environment, Dunas Park Herbarium
dc.description.affiliationDepartment of Fundamental Chemistry Federal University of Pernambuco (UFPE)
dc.description.affiliationChemistry Institute São Paulo State University (UNESP)
dc.description.affiliationPlant Physiology Laboratory Center for Biotechnology and Dept. of Botany Federal University of Rio Grande do Sul (UFRGS)
dc.description.affiliationUnespChemistry Institute São Paulo State University (UNESP)
dc.format.extent75-79
dc.identifierhttp://dx.doi.org/10.1016/j.phytol.2021.03.016
dc.identifier.citationPhytochemistry Letters, v. 43, p. 75-79.
dc.identifier.doi10.1016/j.phytol.2021.03.016
dc.identifier.issn1876-7486
dc.identifier.issn1874-3900
dc.identifier.scopus2-s2.0-85104974142
dc.identifier.urihttp://hdl.handle.net/11449/208627
dc.language.isoeng
dc.relation.ispartofPhytochemistry Letters
dc.sourceScopus
dc.subjectAnabasine
dc.subjectCaatinga
dc.subjectNMR-based metabolite profiling
dc.subjectSelaginella convoluta (Arn.) Spring
dc.subjectSelaginellaceae
dc.titleNMR-based metabolite profiling of Selaginella convoluta in different hydration states and the unprecedented occurrence of anabasine in lycophytesen
dc.typeArtigopt
dspace.entity.typePublication
relation.isOrgUnitOfPublicationbc74a1ce-4c4c-4dad-8378-83962d76c4fd
relation.isOrgUnitOfPublication.latestForDiscoverybc74a1ce-4c4c-4dad-8378-83962d76c4fd
unesp.author.orcid0000-0003-1575-5310[4]
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Química, Araraquarapt
unesp.departmentQuímica Orgânica - IQARpt

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