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Taxonomic discrimination of cyanobacteria by metabolic fingerprinting using proton nuclear magnetic resonance spectra and multivariate statistical analysis

한국식물학회지 2006년 49권 4호 p.271 ~ 275
김석원, Ban Sung-Hee, 안치용, 오희목, Chung Hoe-Il, Cho Soo-Hwa, Park Young-Mok, Liu Jang-Ryol,
소속 상세정보
김석원 ( Kim Suk-Weon ) - Biological Resource Center
 ( Ban Sung-Hee ) - Biological Resource Center
안치용 ( Ahn Chi-Yong ) - Environmental Biology Center
오희목 ( Oh Hee-Mock ) - Biological Resource Center
 ( Chung Hoe-Il ) - Hanyang University Department of Chemistry
 ( Cho Soo-Hwa ) - Hanyang University Department of Chemistry
 ( Park Young-Mok ) - Korea Basic Science Institute Proteome Analysis Team
 ( Liu Jang-Ryol ) - Korea Research Institute of Bioscience and Biotechnology Plant Genome Research Center

Abstract


When whole-cell extracts are analyzed, proton nuclear magnetic resonance (1H NMR) spectroscopy provides biochemical profiles that contain overlapping signals of the majority of the compounds. To determine whether cyanobacteria could be taxonomically discriminated on the basis of metabolic fingerprinting, we subjected whole-cell extracts of the cyanobacteria to1H NMR. The1H NMR spectra revealed a predominance of signals in the aliphatic region. Principal component analysis (PCA) of the data then enabled discrimination of the cyanobacteria. The hierarchical dendrogram, based on PCA of the aliphatic region data, showed that six cyanobacterial taxa were discriminated from two eukaryotic microalgal species, and that the six taxa could be subsequently divided into three groups. This agrees with the current taxonomy of cyanobacteria. Therefore, our overall results indicate that metabolic fingerprinting using1H NMR spectra and multivariate statistical analysis provide a simple, rapid method for the taxonomical discrimination of cyanobacteria.

키워드

cyanobacteria; dendrogram; pattern recognition; principal component analysis; taxonomy

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