Plant lipidomics based on hydrophilic interaction chromatography coupled to ion trap time-of-flight mass spectrometry

被引:89
|
作者
Okazaki, Yozo [1 ]
Kamide, Yukiko [1 ]
Hirai, Masami Yokota [1 ,2 ]
Saito, Kazuki [1 ,3 ]
机构
[1] RIKEN Plant Sci Ctr, Tsurumi Ku, Yokohama, Kanagawa 2300045, Japan
[2] Japan Sci & Technol Agcy, CREST, Tokyo, Japan
[3] Chiba Univ, Grad Sch Pharmaceut Sci, Inage Ku, Chiba 2638522, Japan
关键词
Hydrophilic interaction chromatography; Ion trap time-of-flight mass spectrometry; Lipidome; Lipidomics; PERFORMANCE LIQUID-CHROMATOGRAPHY; EVAPORATIVE LIGHT-SCATTERING; ARABIDOPSIS-THALIANA; GLYCEROL-3-PHOSPHATE ACYLTRANSFERASE; FUNCTIONAL-CHARACTERIZATION; COLD-ACCLIMATION; PLASMA-MEMBRANE; BINDING PROTEIN; BIOSYNTHESIS; ACID;
D O I
10.1007/s11306-011-0318-z
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Plants synthesize a wide range of hydrophobic compounds, generally known as lipids. Here, we report an application of liquid chromatography ion trap time-of-flight mass spectrometry (LC-IT-TOF-MS) for plant lipidomics. Using hydrophilic interaction chromatography (HILIC) for class separation, typical membrane lipids including glycerolipids, steryl glucosides and glucosyl-ceramides, and hydrophobic plant secondary metabolites such as saponins were analyzed simultaneously. By this method, we annotated approximately 100 molecules from Arabidopsis thaliana. To demonstrate the application of this method to biological study, we analyzed Arabidopsis mutant trigalactosyldiacylglycerol3 (tgd3), which has a complex metabolic phenotype including the accumulation of unusual forms of galactolipids. Lipid profiling by LC-MS revealed that tgd3 accumulated an unusual form of digalactosyldiacylglycerol, annotated as Gal(beta 1 -> 6)beta GalDG. The compositional difference between normal and unusual forms of digalactosyldiacylglycerol was detected by this method. In addition, we analyzed well-known Arabidopsis mutants ats1-1, fad6-1, and fad7-2, which are also disrupted in lipid metabolic genes. Untargeted lipidome analysis coupled with multivariate analysis clearly discriminated the mutants and their distinctive metabolites. These results indicated that HILIC-MS is an efficient method for plant lipidomics.
引用
收藏
页码:S121 / S131
页数:11
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