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Untargeted Metabolomic Analysis of Capsicum spp. by GC-MS. | LitMetric

Untargeted Metabolomic Analysis of Capsicum spp. by GC-MS.

Phytochem Anal

Graduate Programme in Food Science and Technology, Department of Agroindustrial Science and Technology, Faculty of Agronomy Eliseu Maciel, Federal University of Pelotas, Caixa Postal 354, CEP, 96010-900, Pelotas, Brazil.

Published: September 2017

AI Article Synopsis

  • The study focused on characterizing pepper accessions from Embrapa Clima Temperado's germplasm collection using an untargeted metabolomics approach.
  • Polar and non-polar fractions of pepper samples were analyzed via gas chromatography coupled to mass spectrometry (GC-MS), revealing various compounds such as amino acids, sugars, and capsaicinoids.
  • The analysis indicated distinct metabolic profiles for specific accessions but did not clearly group species, enhancing the understanding of Capsicum species' metabolic diversity.

Article Abstract

Introduction: In order to conserve the biodiversity of Capsicum species and find genotypes with potential to be utilised commercially, Embrapa Clima Temperado maintains an active germplasm collection (AGC) that requires characterisation, enabling genotype selection and support for breeding programmes.

Objective: The objective of this study was to characterise pepper accessions from the Embrapa Clima Temperado AGC and differentiate species based on their metabolic profile using an untargeted metabolomics approach.

Material And Methods: Cold (-20°C) methanol extraction residue of freeze-dried fruit samples was partitioned into water/methanol (A) and chloroform (B) fractions. The polar fraction (A) was derivatised and both fractions (A and B) were analysed by gas chromatography coupled to mass spectrometry (GC-MS). Data from each fraction was analysed using a multivariate principal component analysis (PCA) with XCMS software.

Results: Amino acids, sugars, organic acids, capsaicinoids, and hydrocarbons were identified. Outlying accessions including P116 (C. chinense), P46, and P76 (C. annuum) were observed in a PCA plot mainly due to their high sucrose and fructose contents. PCA also indicated a separation of P221 (C. annuum) and P200 (C. chinense), because of their high dihydrocapsaicin content.

Conclusions: Although the metabolic profiling did not allow for grouping by species, it permitted the simultaneous identification and quantification of several compounds complementing and expanding the metabolic database of the studied Capsicum spp. in the AGC. Copyright © 2017 John Wiley & Sons, Ltd.

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Source
http://dx.doi.org/10.1002/pca.2692DOI Listing

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