FT-IR 스펙트럼 데이터의 다변량 통계분석 기법을 이용한 바위솔속 식물의 분류학적 유연관계 예측 및 판별

• 영문명: Prediction and discrimination of taxonomic relationship within Orostachys species using FT-IR spectroscopy combined by multivariate analysis
• 발행기관: (사)한국식물생명공학회
• 저자명: 권용국(Yong Kook Kwon) 김석원(Suk Weon Kim) 서정민(Jung Min Seo) 우태하(Tae Ha Woo) 유장렬(Jang Ryol Liu)
• 간행물 정보: 『Journal of Plant Biotechnology』38권 1호, 9~14쪽, 전체 6쪽
• 주제분류: 농수해양 > 기타농수해양
• 파일형태: PDF
• 발행일자: 2011.03.31

영문 초록

To determine whether pattern recognition based on metabolite fingerprinting for whole cell extracts can be used to discriminate cultivars metabolically, leaves of nine commercial Orostachys plants were subjected to Fourier transform infrared spectroscopy (FT-IR). FT-IR spectral data from leaves were analyzed by principal component analysis (PCA) and Partial least square discriminant analysis (PLS-DA). The dendrogram based on hierarchical clustering analysis of these PLS-DA data separated the nine Orostachys species into five major groups. The first group consisted of O. iwarenge ``Yimge``, ``Jeju``, ``Jeongsun`` and O. margaritifolius ``Jinju`` whereas in the second group, ``Sacheon`` was clustered with ``Busan,`` both of which belong to O. malacophylla species. However, ``Samchuk``, belong to O. malacophylla was not clustered with the other O. malacophylla species. In addition, O. minuta and O. japonica were separated to the other Orostachys plants. Thus we suggested that the hierarchical dendrogram based on PLS-DA of FT-IR spectral data from leaves represented the most probable chemotaxonomical relationship between commercial Orostachys plants. Furthermore these metabolic discrimination systems could be applied for reestablishment of precise taxonomic classification of commercial Orostachys plants.

키워드

Fourier transformation-infrared spectroscopy Orostachys plants Partial Least square discriminant analysis PLS-DA Principal component analysis