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

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Title
Taxonomic discrimination of cyanobacteria by metabolic fingerprinting using proton nuclear magnetic resonance spectra and multivariate statistical analysis
Author(s)
Suk Weon Kim; S H Ban; Chi-Yong AhnHee-Mock Oh; H Chung; S H Cho; Y M Park; Jang Ryol Liu
Bibliographic Citation
Journal of Plant Biology, vol. 49, no. 4, pp. 271-275
Publication Year
2006
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 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. 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 using 1H NMR spectra and multivariate statistical analysis provide a simple, rapid method for the taxonomical discrimination of cyanobacteria.
Keyword
cyanobacteriadendrogrampattern recognitionprincipal component analysistaxonomy
ISSN
I000-0094
Publisher
Springer
DOI
http://dx.doi.org/10.1007/BF03031154
Type
Article
Appears in Collections:
Jeonbuk Branch Institute > Biological Resource Center > 1. Journal Articles
Synthetic Biology and Bioengineering Research Institute > Cell Factory Research Center > 1. Journal Articles
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