UPLC-QTOF analysis reveals metabolomic changes in the flag leaf of wheat (Triticum aestivum L.) under low-nitrogen stress

Copyright © 2016 Elsevier Masson SAS. All rights reserved.

Bibliographische Detailangaben
Veröffentlicht in:Plant physiology and biochemistry : PPB. - 1991. - 111(2017) vom: 05. Feb., Seite 30-38
1. Verfasser: Zhang, Yang (VerfasserIn)
Weitere Verfasser: Ma, Xin-Ming, Wang, Xiao-Chun, Liu, Ji-Hong, Huang, Bing-Yan, Guo, Xiao-Yang, Xiong, Shu-Ping, La, Gui-Xiao
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2017
Zugriff auf das übergeordnete Werk:Plant physiology and biochemistry : PPB
Schlagworte:Journal Article Low nitrogen stress Metabolomics OPLS-DA PCA UPLC-QTOF Wheat Biomarkers Flavonoids Nitrogen N762921K75
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245 1 0 |a UPLC-QTOF analysis reveals metabolomic changes in the flag leaf of wheat (Triticum aestivum L.) under low-nitrogen stress 
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520 |a Copyright © 2016 Elsevier Masson SAS. All rights reserved. 
520 |a Wheat is one of the most important grain crop plants worldwide. Nitrogen (N) is an essential macronutrient for the growth and development of wheat and exerts a marked influence on its metabolites. To investigate the influence of low nitrogen stress on various metabolites of the flag leaf of wheat (Triticum aestivum L.), a metabolomic analysis of two wheat cultivars under different induced nitrogen levels was conducted during two important growth periods based on large-scale untargeted metabolomic analysis using ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF). Multivariate analyses-such as principle components analysis (PCA) and orthogonal partial least square discriminant analysis (OPLS-DA)-were used for data analysis. PCA yielded distinctive clustering information among the samples, classifying the wheat flag samples into two categories: those under normal N treatment and low N treatment. By processing OPLS-DA, eleven secondary metabolites were shown to be responsible for classifying the two groups. The secondary metabolites may be considered potential biomarkers of low nitrogen stress. Chemical analyses showed that most of the identified secondary metabolites were flavonoids and their related derivatives, such as iso-vitexin, iso-orientin and methylisoorientin-2″-O-rhamnoside, etc. This study confirmed the effect of low nitrogen stress on the metabolism of wheat, and revealed that the accumulation of secondary metabolites is a response to abiotic stresses. Meanwhile, we aimed to identify markers which could be used to monitor the nitrogen status of wheat crops, presumably to guide appropriate fertilization regimens. Furthermore, the UPLC-QTOF metabolic platform technology can be used to study metabolomic variations of wheat under abiotic stresses 
650 4 |a Journal Article 
650 4 |a Low nitrogen stress 
650 4 |a Metabolomics 
650 4 |a OPLS-DA 
650 4 |a PCA 
650 4 |a UPLC-QTOF 
650 4 |a Wheat 
650 7 |a Biomarkers  |2 NLM 
650 7 |a Flavonoids  |2 NLM 
650 7 |a Nitrogen  |2 NLM 
650 7 |a N762921K75  |2 NLM 
700 1 |a Ma, Xin-Ming  |e verfasserin  |4 aut 
700 1 |a Wang, Xiao-Chun  |e verfasserin  |4 aut 
700 1 |a Liu, Ji-Hong  |e verfasserin  |4 aut 
700 1 |a Huang, Bing-Yan  |e verfasserin  |4 aut 
700 1 |a Guo, Xiao-Yang  |e verfasserin  |4 aut 
700 1 |a Xiong, Shu-Ping  |e verfasserin  |4 aut 
700 1 |a La, Gui-Xiao  |e verfasserin  |4 aut 
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773 1 8 |g volume:111  |g year:2017  |g day:05  |g month:02  |g pages:30-38 
856 4 0 |u http://dx.doi.org/10.1016/j.plaphy.2016.11.009  |3 Volltext 
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