Phenolic variation among Chamaecrista nictitans subspecies and varieties revealed through UPLC-ESI(-)-MS/MS chemical fingerprinting
| Autor: | Federico J. Albertazzi, Luis Poveda, Heidy Villalobos, Giselle Tamayo-Castillo, Emanuel Araya-Valverde, Luis Quirós-Guerrero, Rosaura M. Romero, Max Chavarría |
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| Rok vydání: | 2018 |
| Předmět: |
Spectrometry
Mass Electrospray Ionization Endocrinology Diabetes and Metabolism Clinical Biochemistry Metabolite fingerprinting Biology Subspecies 01 natural sciences Biochemistry DNA barcoding 03 medical and health sciences Metabolomics LC–MS/MS Phenols Fingerprint Tandem Mass Spectrometry Chamaecrista nictitans Botany Cluster Analysis Chamaecrista Chromatography High Pressure Liquid 030304 developmental biology 0303 health sciences Principal Component Analysis 010401 analytical chemistry food and beverages Discriminant Analysis biology.organism_classification 0104 chemical sciences Chemotaxonomy Principal component analysis Multivariate Analysis Chemical fingerprinting PHYTOCHEMISTRY Chromatography Liquid |
| Zdroj: | Metabolomics, vol.15(2), pp.1-16. Kérwá Universidad de Costa Rica instacron:UCR |
| ISSN: | 1573-3890 |
| Popis: | Introduction 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. Universidad de Costa Rica/[809-B3-082]/UCR/Costa Rica UCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Básicas::Centro de Investigaciones en Productos Naturales (CIPRONA) UCR::Vicerrectoría de Docencia::Ciencias Básicas::Facultad de Ciencias::Escuela de Química UCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Básicas::Centro de Investigación en Biología Celular y Molecular (CIBCM) UCR::Vicerrectoría de Docencia::Ciencias Básicas::Facultad de Ciencias::Escuela de Biología |
| Databáze: | OpenAIRE |
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