Taxonomic discrimination of higher plants by pyrolysis mass spectrometry |
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Authors: | Kim S W Ban S H Chung H J Choi D W Choi P S Yoo O J Liu J R |
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Institution: | (1) Laboratory of Plant Genomics Services and Laboratory of Plant Cell Biotechnology, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 52 Eoun-dong, Yuseong-gu, 305-333 Daejeon, Korea;(2) Laboratory of Functional Genomics for Plant Secondary Metabolism (National Research Laboratory), Eugentech Inc., 52 Eoun-dong, Yuseong-gu, 305-333 Daejeon, Korea;(3) Department of Biological Science, Korea Advanced Institute of Science and Technology, 373-1 Kusong-dong, Yuseong-gu, 305-701 Daejeon, Korea |
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Abstract: | Pyrolysis mass spectrometry (PyMS) is a rapid, simple, high-resolution analytical method based on thermal degradation of complex material in a vacuum and has been widely applied to the discrimination of closely related microbial strains. Leaf samples of six species and one variety of higher plants (Rosa multiflora, R. multiflora var. platyphylla, Sedum kamtschaticum, S. takesimense, S. sarmentosum, Hepatica insularis, and H. asiatica) were subjected to PyMS for spectral fingerprinting. Principal component analysis of PyMS data was not able to discriminate these plants in discrete clusters. However, canonical variate analysis of PyMS data separated these plants from one another. A hierarchical dendrogram based on canonical variate analysis was in agreement with the known taxonomy of the plants at the variety level. These results indicate that PyMS is able to discriminate higher plants based on taxonomic classification at the family, genus, species, and variety level.Abbreviations
ANNs
Artificial neural networks
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CVA
Canonical variate analysis
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GC/MS
Gas chromatography/mass spectrometry
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PCA
Principal component analysis
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PyMS
Pyrolysis mass spectrometry
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UPGMA
Unweighted pair group method with arithmetic mean
Communicated by I.S. Chung |
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Keywords: | Canonical variate analysis Chemotaxonomy Dendrogram Principal component analysis Taxonomy |
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