Journal
PLANT SCIENCE
Volume 210, Issue -, Pages 61-69Publisher
ELSEVIER IRELAND LTD
DOI: 10.1016/j.plantsci.2013.05.004
Keywords
Oryza sativa; LED lights; Metabolite profiling; GC-IT-MS; UPLC-Q-TOF-MS; Antioxidant activity
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Funding
- Next-Generation BioGreen 21 Program, Rural Development Administration, Republic of Korea [PJ]
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Metabolite profiling of rice leaves (Oryza sativa cv. Ilmi) was performed to investigate the short-term responses to different light-emitting diode (LED) lights, blue (B), green (G), red (R), white (W), shade (S), by using gas chromatography-ion trap-mass spectrometry (GC-IT-MS) and ultra-performance liquid chromatography-quadrupole-time-of-flight-mass spectrometry (UPLC-Q-TOF-MS) with multivariate analysis. Clear grouping patterns of each light-grown sample, except G and W, were shown in partial least squares-discriminant analysis (PLS-DA). Thirty-two primary metabolites and eleven secondary metabolites were selected and visualized using heatmap. Antioxidant activities of rice leaves followed the order B = W = G > R > S and isoorientin-2 ''-O-glucoside, isoorientin-2 ''-O-glucoside, isoorientin-2 ''-O-(6'''-rho-coumaroyl)-glucoside, and isoscoparin-2 ''-O-glucoside showed similar relative differences and had higher Pearson's correlation coefficients than other metabolites in correlation network. According to the orthogonal projection to latent structures-discriminant analysis (OPLS-DA) between B and R, the levels of amino acids, organic acids, fatty acids, and flavonoid glycosides were relatively high in B, whereas the glucose and fructose levels were high in R. (c) Elsevier Ireland Ltd. All rights reserved.
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