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Phenolic variation among Chamaecrista nictitans subspecies and varieties revealed through UPLC-ESI(-)-MS/MS chemical fingerprinting

dc.creatorQuirós Guerrero, Luis Manuel
dc.creatorAlbertazzi Castro, Federico José
dc.creatorAraya Valverde, Emanuel
dc.creatorRomero Chacón, Rosaura María
dc.creatorVillalobos Barrantes, Heidy María
dc.creatorPoveda Álvarez, Luis Jorge
dc.creatorChavarría Vargas, Max
dc.creatorTamayo Castillo, Giselle
dc.date.accessioned2022-12-06T21:13:16Z
dc.date.available2022-12-06T21:13:16Z
dc.date.issued2019-01-19
dc.description.abstractIntroduction Comparative analysis of metabolic features of plants has a high potential for determination of quality control of active ingredients, ecological or chemotaxonomic purposes. Specifically, the development of efficient and rapid analytical tools that allow the differentiation among species, subspecies and varieties of plants is a relevant issue. Here we describe a multivariate model based on LC–MS/MS fingerprinting capable of discriminating between subspecies and varieties of the medicinal plant Chamaecrista nictitans, a rare distributed species in Costa Rica. Methods Determination of the chemical fingerprint was carried out on a LC–MS (ESI-QTOF) in negative ionization mode, main detected and putatively identified compounds included proanthocyanidin oligomers, several flavonoid C- and O-glycosides, and flavonoid acetates. Principal component analysis (PCA), partial least square-discriminant analysis (PLS-DA) and cluster analysis of chemical profiles were performed. Results Our method showed a clear discrimination between the subspecies and varieties of Chamaecrista nictitans, separating the samples into four fair differentiated groups: M1 = C. nictitans ssp. patellaria; M2 = C. nictitans ssp. disadena; M3 = C. nictitans ssp. nictitans var. jaliscensis and M4 = C. nictitans ssp. disadena var. pilosa. LC–MS/MS fingerprint data was validated using both morphological characters and DNA barcoding with ITS2 region. The comparison of the morphological characters against the chemical profiles and DNA barcoding shows a 63% coincidence, evidencing the morphological similarity in C. nictitans. On the other hand, genetic data and chemical profiles grouped all samples in a similar pattern, validating the functionality of our metabolomic approach. Conclusion The metabolomic method described in this study allows a reliably differentiation between subspecies and varieties of C. nictitans using a straightforward protocol that lacks extensive purification steps.es
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Básicas::Centro de Investigaciones en Productos Naturales (CIPRONA)es
dc.description.procedenceUCR::Vicerrectoría de Docencia::Ciencias Básicas::Facultad de Ciencias::Escuela de Químicaes
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Básicas::Centro de Investigación en Biología Celular y Molecular (CIBCM)es
dc.description.procedenceUCR::Vicerrectoría de Docencia::Ciencias Básicas::Facultad de Ciencias::Escuela de Biologíaes
dc.description.sponsorshipUniversidad de Costa Rica/[809-B3-082]/UCR/Costa Ricaes
dc.identifier.codproyecto809-B3082
dc.identifier.doihttps://doi.org/10.1007/s11306-019-1475-8
dc.identifier.issn1573-3890
dc.identifier.urihttps://hdl.handle.net/10669/87883
dc.language.isoeng
dc.rightsacceso embargado
dc.sourceMetabolomics, vol.15(2), pp.1-16.es
dc.subjectChamaecrista nictitanses
dc.subjectChemotaxonomyes
dc.subjectMetabolite fingerprintinges
dc.subjectLC–MS/MSes
dc.subjectChemical fingerprintinges
dc.subjectPHYTOCHEMISTRYes
dc.titlePhenolic variation among Chamaecrista nictitans subspecies and varieties revealed through UPLC-ESI(-)-MS/MS chemical fingerprintinges
dc.typeartículo originales

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