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Title 

Rapid metabolic discrimination between Zoysia japonica and Zoysia sinica based on multivariate analysis of FT-IR spectroscopy

 

FT-IR스펙트럼 데이터의 다변량통계분석 기반 들잔디와 갯잔디의 대사체 수준 신속 식별 체계

Authors 

D H YangMyung-Suk AhnO C JeongIn Ja SongS M KoYe In JeonH G KangH J SunY I KwonSuk Weon KimH Y Lee

Publisher 

Korea Society of Plant Biotechnology

Issue Date 

2016

Citation 

Journal of Plant Biotechnology, vol. 43, no. 2, pp. 213-222

Keywords 

Fourier transform-infrared spectroscopy (FT-IR)Partial least square discriminant analysis (PLS-DA)Principal component analysis (PCA)Turf grassesZoysia japonicaZoysia sinica

Abstract 

This study aims to establish a system for the rapid discrimination of Zoysia species using metabolite fingerprinting of FT-IR spectroscopy combined with multivariate analysis. Whole cell extracts from leaves of 19 identified Zoysia japonica, 6 identified Zoysia sinica, and 38 different unidentified Zoysia species were subjected to Fourier transform infrared spectroscopy (FT-IR). PCA (principle component analysis) and PLS-DA (partial least square discriminant analysis) from FT-IR spectral data successfully divided the 25 identified turf grasses into two groups, representing good agreement with species identification using molecular markers. PC (principal component) loading values show that the 1,100 ~ 950 cm-1 region of the FT-IR spectra are important for the discrimination of Zoysia species. A dendrogram based on hierarchical clustering analysis (HCA) from the PCA and PLS-DA data of turf grasses showed that turf grass samples were divided into Zoysia japonica and Zoysia sinica in a species-dependent manner. PCA and PLS-DA from FT-IR spectral data of Zoysia species identified and unidentified by molecular markers successfully divided the 49 turf grasses into Z. japonica and Z. sinica. In particular, PLS-DA and the HCA dendrogram could mostly discriminate the 47 Z. japonica grasses into two groups depending on their origins (mountainous areas and island area). Considering these results, we suggest that FT-IR fingerprinting combined with multivariate analysis could be applied to discriminate between Zoysia species as well as their geographical origins of various Zoysia species.

ISSN 

1229-2818

Link 

http://dx.doi.org/10.5010/JPB.2016.43.2.213

Appears in Collections

1. Journal Articles > Journal Articles

Registered Date

2019-05-02


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