Genetic discrimination betweenCatharanthus roseus cultivars by metabolic fingerprinting using1H NMR spectra of aromatic compounds

Min

et al. 2008

Plant Biotechnol Rep

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To determine whether pattern recognition based on metabolite fingerprinting for whole cell extracts can be used to discriminate cultivars metabolically, leaves and fruits of five commercial strawberry cultivars were subjected to Fourier transform infrared (FT-IR) spectroscopy. FT-IR spectral data from leaves were analyzed by principal component analysis (PCA) and Fisher's linear discriminant function analysis. The dendrogram based on hierarchical clustering analysis of these spectral data separated the five commercial cultivars into two major groups with originality. The first group consisted of Korean cultivars including 'Maehyang', 'Seolhyang', and 'Gumhyang', whereas in the second group, 'Ryukbo' clustered with 'Janghee', both Japanese cultivars. The results from analysis of fruits were the same as of leaves. We therefore conclude that the hierarchical dendrogram based on PCA of FT-IR data from leaves represents the most probable chemotaxonomical relationship between cultivars, enabling discrimination of cultivars in a rapid and simple manner.

Section: Resultssupporting

confidence: 54%

Rapid discrimination of commercial strawberry cultivars using Fourier transform infrared spectroscopy data combined by multivariate analysis

Min

et al. 2008

Plant Biotechnol Rep

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“…We had also previously discriminated those same cultivars through Fourier transform infrared spectroscopy (FTIR; Kim et al 2007c) and 1 H NMR spectral fingerprints (Kim et al 2007a). None of these DNA-or Fig.…”

Section: Resultsmentioning

confidence: 99%

“…In an earlier study (Kim et al 2007a), we applied the two most popular DNA-fingerprinting methods-RAPD and AFLP-to evaluate genetic relationships among these eight cultivars and found slight differences between the two approaches. We had also previously discriminated those same cultivars through Fourier transform infrared spectroscopy (FTIR; Kim et al 2007c) and 1 H NMR spectral fingerprints (Kim et al 2007a).…”

Section: Resultsmentioning

confidence: 99%

Genetic Discrimination of Catharanthus roseus Cultivars by Pyrolysis Mass Spectrometry

Liu

2009

J. Plant Biol.

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“…In order to extract useful biological information from a complex spectral data set, metabolite fingerprinting techniques are combined with multivariate statistical methods such as principal component analysis (PCA) and discriminant function analysis (DA). The identities of metabolites responsible for the classification of individual samples can be interpreted from score loadings generated by PCA and related techniques [24][25][26]. Fatty acids can be readily separated by gas chromatography following modification to form their methyl esters.…”

Section: Introductionmentioning

confidence: 99%

Rapid selection of mutants of Chlamydomonas reinhardtii for carbohydrate and fatty acid metabolism by fourier transform infrared spectroscopy and gas chromatography combined with multivariate analysis

Yin

Lee

et al. 2008

Biotechnol Bioproc E

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Transgene-tagged mutants of Chlamydomonas reinhardtii were generated by random insertional mutagenesis for screening of mutants of carbohydrate and fatty acid metabolism. Approximately 2,500 insertion mutants tagged with the aph7" gene were produced from one mutagenesis in three weeks. To establish a rapid screening system for numerous insertional lines, whole cell extracts of 100 insertional lines were subjected to Fourier transform infrared spectroscopy (FT-IR) and gas chromatography (GC) analysis combined with multivariate analysis. Mutant lines 28, 67, and 90 showed dramatic differences in the carbohydrate (1,000~1,200 cm −1 ) and amide (1,500~1,700 cm −1 ) regions of the FT-IR spectrum compared to wild type strain CC-124. Separate GC analysis also showed that 16:0 iso, palmitic acid (16:0), and oleic acid (18:1) were the major fatty acids in the wild type strain. In mutant 80, the relative content ratio of 16:0 iso in total fatty acids was significantly lower than in wild type, whereas the ratios of palmitic acid and oleic acid to 16:0 iso were higher. In mutant 95, the ratio of 16:0 iso to total fatty acids was increased, whereas ratios of palmitic acid and oleic acid to 16:0 iso were decreased. In particular, mutant 57 showed remarkably different fatty acid patterns with novel peaks of long-chain fatty acids having more than 20 carbon atoms. The results of this study show that FT-IR and GC combined with multivariate analysis enable rapid selection of mutants of carbohydrate and fatty acid metabolism in C. reinhardtii. © KSBB