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Analysis of the seed metabolite profiles and antioxidant activity of perilla varieties

대사체분석 기술을 이용한 들깨 종자의 품질 특성 및 항산화 효과

  • Gu, Suyeon (Division of Applied Life Sciences (BK21 plus)) ;
  • Son, Yejin (Division of Applied Life Sciences (BK21 plus)) ;
  • Park, Ji Yeong (Division of Applied Life Sciences (BK21 plus)) ;
  • Choi, Sung-Gil (Department of Food Science and Technology, and Institute of Agriculure and Life Science) ;
  • Lee, Myoung Hee (National Institute of Crop Science, Rural Development Administration) ;
  • Kim, Hyun-Jin (Division of Applied Life Sciences (BK21 plus))
  • 구수연 (경상대학교 응용생명과학부) ;
  • 손예진 (경상대학교 응용생명과학부) ;
  • 박지영 (경상대학교 응용생명과학부) ;
  • 최성길 (경상대학교 농업생명과학대학 식품공학과) ;
  • 이명희 (국립식량과학원 남부작물부) ;
  • 김현진 (경상대학교 응용생명과학부)
  • Received : 2019.03.15
  • Accepted : 2019.05.02
  • Published : 2019.06.30

Abstract

Perilla seed oil is considered to be a rich source of omega-3 fatty acids and phenolic compounds, which have various health benefits. To improve its oil content and nutritional quality, 29 varieties of perilla have been bred, but their nutritional qualities, including the fatty acid and phenolic compound contents, have not been investigated. Therefore, in this study, the seed metabolite profiles, including the fatty acids, of these 29 perilla varieties were analyzed. Palmitic acid, stearic acid, linoleic acid, linolenic acid, rosmarinyl glucoside, and rosmarinic acid were identified as the major metabolites of perilla. The fatty acid contents were higher in the Okdong, Deulsaem, Daesil, Joim, Yeupsil, Danjo, and Joongmo5103 varieties (in order). However, the total phenolic compounds and antioxidative activities of Okdong and Deulsaem were relatively low, whereas the fatty acid and total phenol contents of Joim, Yeupsil, and Danjo were relatively high. These results may be useful for comparing the nutritional quality of the 29 perilla varieties.

Keywords

perilla;perilla varieties;perilla oil;metabolite;antioxidant

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Fig. 1. 29 varieties of perilla seed.

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Fig. 2. Representative chromatogram of fatty acids (A) and metabolite profiles (B) analyzed by GC-MS and by UPLC-Q-TOF MS, respectively.

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Fig. 3. PLS-DA (Partial Least Squares Discriminant Analysis) score plots of perilla seed fatty acids analyzed using gas chromatographymass spectrometry (A) and perilla seed metabolites analyzed using UPLC-Q-TOF MS (B).

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Fig. 4 Heat maps of perilla seed fatty acids (A) and perilla seed metabolites (B) contributing to the separation among samples.

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Fig. 5 Total fatty acid relative abundance (A), total phenolic content (B), and antioxidant activity (C) of 29 varieties of perilla seed.

Table 1. Identification of major metabolites contributing to the separation on the PLS-DA scores plot of the data nalyzed by GC-MS

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Table 2. Identification of major metabolites contributing to the separation on the PLS-DA scores plot of the data analyzed by LC-MS

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Acknowledgement

Supported by : 농촌진흥청

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