Journal of Plant Biotechnology

The Korean Society of Plant Biotechnology (한국식물생명공학회)
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Rapid discrimination system of Chinese cabbage (Brassica rapa) at metabolic level using Fourier transform infrared spectroscopy (FT-IR) based on multivariate analysis

배추 대사체 추출물의 FT-IR 스펙트럼 및 다변량 통계분석을 통한 계통 신속 식별 체계

  • Ahn, Myung Suk (Biological Resources Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB)) ;
  • Lim, Chan Ju (Asia Seed Co. Research Institute of Biotechnology Breeding) ;
  • Song, Seung Yeob (Research Institute of Climate Change and Agriculture, National Institute of Horticultural and Herbal Science, Rural Development Administration (RDA)) ;
  • Min, Sung Ran (Plant Systems Engineering Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB)) ;
  • Lee, In Ho (Asia Seed Co. Research Institute of Biotechnology Breeding) ;
  • Nou, Ill-Sup (Department of Horticulture, Sunchon National University) ;
  • Kim, Suk Weon (Biological Resources Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB))
  • 안명숙 (한국생명공학연구원 생물자원센터) ;
  • 임찬주 (아시아종묘(주) 생명공학육종연구소) ;
  • 송승엽 (농업진흥청국립 특작과학원 온난화대응농업연구소) ;
  • 민성란 (한국생명공학연구원 식물시스템공학연구센터) ;
  • 이인호 (아시아종묘(주) 생명공학육종연구소) ;
  • 노일섭 (순천대학교 생명산업과학대학 원예학과) ;
  • 김석원 (한국생명공학연구원 생물자원센터)
  • Received : 2016.08.09
  • Accepted : 2016.09.12
  • Published : 2016.09.30
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Abstract

To determine whether FT-IR spectral analysis based on multivariate analysis could be used to discriminate Chinese cabbage breeding line at metabolic level, whole cell extracts of nine different breeding lines (three paternal, three maternal and three $F_1$ lines) were subjected to Fourier transform infrared spectroscopy (FT-IR). FT-IR spectral data of Chinese cabbage plants were analyzed by principal component analysis (PCA), partial least square discriminant analysis (PLS-DA), and hierarchical clustering analysis (HCA). The hierarchical dendrograms based on PLS-DA from two of three cross combinations showed that paternal, maternal, and their progeny $F_1$ lines samples were perfectly separated into three branches in breeding line dependent manner. However, a cross combination failed to fully discriminate them into three branches. Thus, hierarchical dendrograms based on PLS-DA of FT-IR spectral data of Chinese cabbage breeding lines could be used to represent the most probable chemotaxonomical relationship among maternal, paternal, and $F_1$ plants. Furthermore, these metabolic discrimination systems could be applied for rapid selection and classification of useful Chinese cabbage cultivars.

본 연구에서는 국내에서 재배중인 배추 전세포 추출물의 FT-IR 스펙트럼 데이터로부터 다변량 통계분석(PCA, PLS-DA, HCA)을 이용하여 신속하고 간편한 계통 구분체계를 확립하였다. 다변량 통계분석 결과 대사체 수준에서 배추의 부계, 모계, $F_1$ 계통들이 계통에 따라 유연관계가 높음을 알 수 있었다. 아울러 본 연구에서 얻어진 대사체 정보의 유연관계분석은 $F_1$ 계통의 부계와 모계에 대한 유연관계가 교배에 따라 달라질 수 있음을 보여주었다. 따라서 FT-IR 스펙트럼 데이터의 다변량 통계분석 기술은 대사체 정보를 기반으로 한 신품종 선발방법의 간편성과 신속성을 고려할 때 배추의 계통이나 품종의 신속한 식별 수단으로 활용이 가능할 것으로 기대된다.

Keywords

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