DOI QR코드

DOI QR Code

Prediction and discrimination of taxonomic relationship within Orostachys species using FT-IR spectroscopy combined by multivariate analysis

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

  • Kwon, Yong-Kook (Plant Systems Engineering Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB)) ;
  • Kim, Suk-Weon (Biological Resources Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB)) ;
  • Seo, Jung-Min (Omicisis Co.) ;
  • Woo, Tae-Ha (Omicisis Co.) ;
  • Liu, Jang-Ryol (Plant Systems Engineering Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB))
  • 권용국 (한국생명공학연구원 식물시스템공학연구센터) ;
  • 김석원 (한국생명공학연구원 식물시스템공학연구센터) ;
  • 서정민 ((주)오믹시스) ;
  • 우태하 ((주)오믹시스) ;
  • 유장렬 (한국생명공학연구원 식물시스템공학연구센터)
  • Received : 2011.03.04
  • Accepted : 2011.03.14
  • Published : 2011.03.31

Abstract

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.

Keywords

References

  1. Chen L, Carpita NC, Reiter WD, Wilson RH, Jeffries C, McCann MC (1998) A rapid method to screen for cell-wall mutants using discriminant analysis of fourier transformation infrared spectra. Plant J 16:385-392 https://doi.org/10.1046/j.1365-313x.1998.00301.x
  2. Goodacre R, Timmins M, Burton R, Kaderbhai N, Woodward AM, Kell DB, Rooney PJ (1998) Rapid identification of urinary tract infection bacteria using hyperspectral whole-organism fingerprinting and artificial neural networks. Microbiology 144:1157-1170 https://doi.org/10.1099/00221287-144-5-1157
  3. Jang SH, Kang DM, Kang JH, Park JC, Lee SG, Shin SC (2005) Changes in flavonol glycoside contents of Orostachys japonicas A. Berger. according to cultivation conditions. Kor J Medicinal Crop Sci 13:250-254
  4. Kim CH, Park JH, Lim JK, Lee KJ, Chung GY, Jeong HJ (2003) The activity of antioxidants and suppression of cancer cell proliferation in extracts of Orostachys japonicas A.Berger. Kor J Medicinal Crop Sci 11:31-39
  5. Kim HD, Park KR (2005) Genetic variation in five species of Korean Orostachys (Crassulaceae). Kor J Plant Taxon 35: 295-311
  6. Kim IS (1996a) Chromosome studies of Korean Orostachys species (Crassulaceae). Kor J Plant Tax 26:183-190
  7. Kim SW, Ban SH, Chung H, Cho SH, Chung HJ, Choi PS, Yoo OJ, Liu JR (2004) Taxonomic discrimination of higher plants by multivariate analysis of Fourier transform infrared spectroscopy data. Plant Cell Rep 23:246-250 https://doi.org/10.1007/s00299-004-0811-1
  8. Kim SW, Cho SH, Chung H, Liu JR (2007) Genetic discrimination between Catharanthus roseus cultivars by multivariate analysis of fourier transform infrared spectroscopy data. J Plant Biotechnol 34:201-205 https://doi.org/10.5010/JPB.2007.34.3.201
  9. Kim SW, Min SR, Kim JH, Park SK, Kim TI, Liu JR (2009) Rapid discrimination of commercial strawberry cultivars using fourier transform infrared spectroscopy data combined by multivariate analysis. Plant Biotechnol Rep 3:87-93 https://doi.org/10.1007/s11816-008-0078-z
  10. Kim TJ (1996b) Korean resources of plants. Seoul National University Publishing Department, Seoul. pp. 67-68
  11. Krishnan P, Kruger NJ, Ratcliffe RG (2005) Metabolite fingerprinting and profiling in plants using NMR. J Exp Bot 56:255-265
  12. Lee BA, Kim HH, Cho YG, Lee CH (2001) Analysis of genetic relationship among Korean native Orostachys species using RAPD. Kor J Hort Sci Technol 19:159-162
  13. Lee KW, Kim HD, Park KR (2003) Numerical taxonomy of Korean Orostachys (Crassulaceae). Kor J Plant Taxon 33: 359-371
  14. Ohba H (2003) Illustrated handbook of succulent plants: Crassulaceae. Eggli U (ed.), Springer-Verlag, Berlin, Heidelberg, pp.186-190
  15. Stewart D, Yahiaoui N, McDougall GJ, Myton K, Marque C, Boudet AM, Haigh J (1997) Fourier-transform infrared and Raman spectroscopic evidence for the incorporation of cinnamaldehydes into the lignin of transgenic tobacco (Nicotiana tabacum L.) plants with reduced expression of cinnamyl alcohol dehydrogenase. Planta 201:311-318 https://doi.org/10.1007/s004250050072
  16. Timmins EM, Howell SA, Alsberg BK, Noble WC, Goodacre R (1998) Rapid differentiation of closely related Candida species and strains by pyrolysis-mass spectrometry and Fourier transform-infrared spectroscopy. J Clin Microbiol 36:367-374
  17. Wenning M, Seiler H, Scherer S (2002) Fourier-transform infrared microspectroscopy, a novel and rapid tool for identification of yeasts. Appl Environ Microbiol 68:4717-4721 https://doi.org/10.1128/AEM.68.10.4717-4721.2002
  18. Wold H (1966) Estimation of principal components and related models by iterative least squares. In: Krishnaiah, K. R. (Ed.), Multivariate Analysis, Academic Press, New York, pp. 391-420

Cited by

  1. Establishment of rapid discrimination system of leguminous plants at metabolic level using FT-IR spectroscopy with multivariate analysis vol.39, pp.3, 2012, https://doi.org/10.5010/JPB.2012.39.3.121
  2. Rapid metabolic discrimination betweenZoysia japonicaandZoysia sinicabased on multivariate analysis of FT-IR spectroscopy vol.43, pp.2, 2016, https://doi.org/10.5010/JPB.2016.43.2.213
  3. Rapid comparison of metabolic equivalence of standard medicinal parts from medicinal plants and their in vitro-generated adventitious roots using FT-IR spectroscopy vol.42, pp.3, 2015, https://doi.org/10.5010/JPB.2015.42.3.257