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Title 

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

Authors 

Suk Weon KimS H BanChi-Yong AhnHee-Mock OhH ChungS H ChoY M ParkJang Ryol Liu

Publisher 

The Botanical Society of Korea

Issue Date 

2006

Citation 

Journal of Plant Biology, vol. 49, no. 4, pp. 271-275

Keywords 

cyanobacteriadendrogrampattern recognitionprincipal component analysistaxonomy

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.

ISSN 

1226-9239

Link 

http://dx.doi.org/10.1007/BF03031154

Appears in Collections

1. Journal Articles > Journal Articles

Registered Date

2019-05-02


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