All Issue

2018 Vol.31, Issue 6 Preview Page

Research Article

Discrimination of Floral Scents and Metabolites in Cut Flowers of Peony (Paeonia lactiflora Pall.) Cultivars
Myung Suk Ahn1
,
Pue Hee Park1
,
Young Nam Kwon1
,
Manjulatha Mekapogu2
,
Suk Weon Kim3
,
Eun Yee Jie4
,
Jae Ah Jeong1
,
Jong Taek Park1
,
Oh Keun Kwon5*
1Researcher, Floriculture Research Division, National Institute of Horticultural and Herbal Science, RDA
2Post-doc, Floriculture Research Division, National Institute of Horticultural and Herbal Science, RDA
3Senior Researcher, Biological Resources Center, Korea Research Institute of Bioscience and Biotechnology
4Researcher, Biological Resources Center, Korea Research Institute of Bioscience and Biotechnology
5Senior Researcher, Floriculture Research Division, National Institute of Horticultural and Herbal Science, RDA
*Corresponding Author
31 December 2018. pp. 641-651
PDF XML Citation
Abstract

Floral scents and metabolites from cut flowers of 14 peony cultivars (Paeonia lactiflora Pall.) were analyzed to discriminate different cultivars and to compare the Korean cultivar with the other cut peonies imported to Korea using electronic nose (E-nose) and Fourier transform infrared (FT-IR) spectroscopy combined with multivariate analysis, respectively. Principal component analysis (PCA) and discriminant function analysis (DFA) dendrogram of peony floral scents were not precisely same but there were 3 groups including same cultivars. PCA and partial least squares-discriminant analysis (PLS-DA) dendrograms of peony metabolites showed that different cut peony cultivars were clustered into two major groups including same cultivars. Fragrance pattern of Korean ‘Taebaek’ was classified to same group with ‘Jubilee’ on the PCA and DFA results and its metabolite pattern was clearly discriminated by the PCA and PLS-DA compared to the other cultivars. These results show that the 14 peony cut flowers could be discriminated corresponding to their chemical relationship and the metabolic profile of Korean ‘Taebaek’ has distinctive characteristics. Furthermore, we suggest that these results could be used as the preliminary data for breeding new cut peony cultivars and for improving the availability of Korean cut peony in cosmetic industry.

Keywords
Electronic nose (E-nose)
Fourier transform-infrared spectroscopy (FT-IR)
Herbaceous peony
References
1
Ali, A., Y.M. Choi, D.Y. Hyun, S. Lee, J.H. Kim, S. Oh and M.C. Lee. 2017. Development of EST-SSRs and assessment of genetic diversity in little millet (Panicum sumatrense) germplasm. Korean J. Plant Res. 30(3):287-297.
2
Abbey, M. 2015. Paeonia spp. production and future developments. The University of Minnesota Digital Conservancy 1-23. University of Minnesota, Minnesota, USA.
3
Ahn, M.S., S.R. Min, E.Y. Jie, E.J. So, S.Y. Choi, B.C. Moon, Y.M. Kang, S.Y. Park and S.W. Kim. 2015. Rapid comparison of metabolic equivalence of standard medicinal parts from medicinal plants and their in vitro-generated adventitious roots using FT-IR spectroscopy. J. Plant Biotechnol. 42:257-264 (in Korean).
10.5010/JPB.2015.42.3.257
4
Alpha, M.O.S. 1998. Intelligent electronic nose. FOX User Manual. 2nd ed. SA, France. 1:25-31.
5
Carvalho, L.C., C.L.M. Morais, K.M.G. Lima, G.W.P. Leite, G.S. Oliveira, I.P. Casagrande, J.P.S. Neto and G.H.A. Teixeira. 2017. Using intact nuts and near infrared spectroscopy to classify macadamia cultivars. Food Anal. Methods 11(7):1857-1866.
10.1007/s12161-017-1078-9
6
He, D.Y. and S.M. Dai. 2011. Anti-inflammatory and immunomodulatory effects of Paeonia Lactiflora Pall., a traditional Chinese herbal medicine. Front Pharmacol. 2(10):1-5.
10.3389/fphar.2011.00010
7
Kong, J. and Y.U. Shaoning. 2007. Fourier transform infrared spectroscopic analysis of protein secondary structures. Acta Bioch. Bioph. Sin. 39(8):549-559.
10.1111/j.1745-7270.2007.00320.x
8
Kamenetsky, R. and J. Dole. 2012. Herbaceous peony (paeonia): genetics, physiology and cut flower production. Floricultural Research Organization 6:62-77.
9
Kim, S.Y., H.R. An, P.M. Park, Y.S. Baek, O.K. Kwon, S.Y. Park and P.H. Park. 2016. Analysis of floral scent patterns in flowering stages and floral organs of Maxillaria using and electronic nose. Flower Res. J. 24(3):171-180.
10.11623/frj.2016.24.3.01
10
Kim, S.J., S.K. Lee and K.S. Kim. 2012. Current research trend of postharvest technology for chrysanthemum. Korean J. Plant Res. 25(1):156-168 (in Korean).
10.7732/kjpr.2012.25.1.156
11
Kong, W., C. Zhang, F. Liu, P. Nie and Y. He. 2013. Rice seed cultivar identification using near-infrared hyperspectral imaging and multivariate data analysis. Sensors 13:8916-8927.
10.3390/s13070891623857260PMC3758629
12
Lee, B., Y.W. Shin, E.A. Bae, S.J. Han, J.S. Kim, S.S. Kang and D.H. Kim. 2008. Antiallergic effect of the root of Paeonia lactiflora and its constituents paeoniflorin and paeonol. Arch. Pharm. Res. 31:445-450.
10.1007/s12272-001-1177-618449501
13
Ministry of Agriculture, Food and Rural Affairs (MAFRA). 2017. Production Performance of Industrial Crops. MAFRA press, Sejong, Korea. pp. 7-18 (in Korean).
14
Myung, N.Y. 2018. The improving effect of Paeoniae Radix on dextran sulfate sodium-induced colitis in mice. Korean J. Plant Res. 31(4):275-282.
15
Parker, F.S. 1983. Applications of Infrared, Raman and Resonance Raman Spectroscopy in Biochemistry. Plenum Press, New York, NY (USA). p. 527
16
Surewicz, W.K. and H.H. Mantsch. 1988. New insight into protein secondary structure from resolution-enhanced infrared spectra. Biochim. Biophys. Acta. 952:115-130.
10.1016/0167-4838(88)90107-0
17
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, NY (USA). pp. 391-420.
18
Xia, L.L., Q.J. Zhu and Y.G. Wu. 2017. Hepatoprotective effect of peony total glucosides and the underlying mechanisms in diabetic rats. Pharm. Biol. 55(1):2178-2187.
10.1080/13880209.2017.139058929078720PMC6130753
19
Zheng, Y.Q., W. Wei, L. Zhu and J.X. Liu. 2007. Effects and mechanisms of paeoniflorin, a bioactive glucoside from paeony root, on adjuvant arthritis in rats. Inflamm. Res. 56:182-188.
10.1007/s00011-006-6002-517588133
20
Zimmermann, B. and A. Kohler. 2014. Infrared spectroscopy of pollen identifies plant species and genus as well as environmental conditions. PLoS One 9(4):e95417.
10.1371/journal.pone.009541724748390PMC3991668
Information
  • Publisher :The Plant Resources Society of Korea
  • Publisher(Ko) :한국자원식물학회
  • Journal Title :Korean Journal of Plant Resources
  • Journal Title(Ko) :한국자원식물학회지
  • Volume : 31
  • No :6
  • Pages :641-651
  • Received Date : 2018-09-07
  • Revised Date : 2018-12-15
  • Accepted Date : 2018-12-17
  • DOI :https://doi.org/10.7732/kjpr.2018.31.6.641
Journal Informaiton Korean Journal of Plant Resources Korean Journal of Plant Resources
Online Submission
  • NRF
  • KOFST
  • KISTI Current Status
  • KISTI Cited-by
  • crosscheck
  • orcid
  • ccl
Journal Informaiton Journal Informaiton - close