Genetic discrimination between Catharanthus roseus cultibars by metabolic fingerprinting using 1H NMR spectra of aromatic compounds

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dc.contributor.authorSuk Weon Kim-
dc.contributor.authorS H Ban-
dc.contributor.authorSoon Chun Jeong-
dc.contributor.authorH J Chung-
dc.contributor.authorS M Ko-
dc.contributor.authorO J Yoo-
dc.contributor.authorJang Ryol Liu-
dc.description.abstractWhen whole cell extracts are subjected to proton nuclear magnetic resonance spectroscopy (1H NMR), metabolite profiles are generated that contain overlapping signals of the majority of compounds within the extract. In order to determine whether pattern recognition based on the metabolite profiles of higher plants is able to genetically discriminate between plants, we analyzed leaf samples of eight cultivars of Catharanthus roseus by 1H NMR. Hierarchical dendrograms, based on the principal component analysis of the 1H NMR total, aliphatic, carbohydrate, and aromatic region data, revealed possible relationships between the cultivars. The dendrogram based on the aromatic region data was in general agreement with the genetic relationships determined by conventional DNA fingerprinting methods. Secologanin and polyphenols were assigned to the signals of the 1H NMR spectra, and contributed most profoundly to the discrimination between cultivars. The overall results indicate that the genetic relationships between C. roseus cultivars are reflected in the differences of the aromatic compounds in the leaves.-
dc.titleGenetic discrimination between Catharanthus roseus cultibars by metabolic fingerprinting using 1H NMR spectra of aromatic compounds-
dc.title.alternativeGenetic discrimination between Catharanthus roseus cultibars by metabolic fingerprinting using 1H NMR spectra of aromatic compounds-
dc.citation.titleBiotechnology and Bioprocess Engineering-
dc.contributor.affiliatedAuthorSuk Weon Kim-
dc.contributor.affiliatedAuthorSoon Chun Jeong-
dc.contributor.affiliatedAuthorJang Ryol Liu-
dc.identifier.bibliographicCitationBiotechnology and Bioprocess Engineering, vol. 12, no. 6, pp. 646-652-
dc.subject.keywordAmplified fragment length polymorphism-
dc.subject.keywordMadagascar periwinkle-
dc.subject.keywordPattern recognition-
dc.subject.keywordPrincipal component analysis-
dc.subject.keywordProton nuclear magnetic resonance spectroscopy (H NMR)-
dc.subject.keywordRandom amplified polymorphic DNA markers-
dc.subject.localAmplified fragment length polymorphism-
dc.subject.localmadagascar periwinkle-
dc.subject.localMadagascar periwinkle-
dc.subject.localPattern recognition-
dc.subject.localpattern recognition-
dc.subject.localprincipal component analysis (PCA)-
dc.subject.localPrincipal Component Analysis-
dc.subject.localPrincipal component analysis (PCA)-
dc.subject.localprincipal component analysis-
dc.subject.localprincipal components analysis-
dc.subject.localPrincipal component analysis-
dc.subject.localProton nuclear magnetic resonance spectroscopy (H NMR)-
dc.subject.localRandom amplified polymorphic DNA markers-
Appears in Collections:
Jeonbuk Branch Institute > Biological Resource Center > 1. Journal Articles
Ochang Branch Institute > 1. Journal Articles
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