Taxonomic Discrimination of Cyanobacteria by Metabolic Fingerprinting Using Proton Nuclear Magnetic Resonance Spectra and Multivariate Statistical Analysis

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 fingerprin...

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Bibliographic Details
Published in:Journal of plant biology = Singmul Hakhoe chi 2006-08, Vol.49 (4), p.271-275
Main Authors: Kim, S.W. (Hanyang University, Seoul, Republic of Korea), Ban, S.H. (Hanyang University, Seoul, Republic of Korea), Ahn, C.Y. (Hanyang University, Seoul, Republic of Korea), Oh, H.M. (Hanyang University, Seoul, Republic of Korea), Chung, H.I. (Hanyang University, Seoul, Republic of Korea), Cho, S.H. (Hanyang University, Seoul, Republic of Korea), Park, Y.M. (Korea Basic Science Institute, Daejeon, Republic of Korea), Liu, J.R. (Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea), E-mail: jrliu@kribb.re.kr
Format: Article
Language:English
Subjects:
Aliphatic compounds
CYANOBACTERIA
dendrogram
Fingerprinting
Multivariate analysis
Multivariate statistical analysis
NMR
Nuclear magnetic resonance
pattern recognition
principal component analysis
Principal components analysis
Protons
Spectra
Spectroscopy
Statistical analysis
Statistics
Taxa
TAXONOMIA
TAXONOMIE
TAXONOMY
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Summary: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 to ¹H NMR. The ¹H NMR spectra revealed a predominance of signals in the aliphatic region. Principal component analysis (PCA) of the data then enabled discrimination of the cyanobacteria.
ISSN:1226-9239
1867-0725
DOI:10.1007/BF03031154