Academy of National Food and Strategic Reserves Administration, Beijing 100037, PR China.
Academy of National Food and Strategic Reserves Administration, Beijing 100037, PR China.
Food Res Int. 2021 Apr;142:110214. doi: 10.1016/j.foodres.2021.110214. Epub 2021 Feb 13.
Rice is one of major staple food worldwide; however, lipid profile of rice and changes during storage remain unclear. Herein, an UPLC-Q-Exactive Orbitrap/MS method was applied for comprehensive lipidomics analysis of rice during storage. A total of 21 subclasses of 277 lipids including fatty acid (36 species), (O-acyl)-1-hydroxy fatty acid (6 species), diglyceride (16 species), triglyceride (89 species), lysophosphatidylcholine (4 species), phosphatidylcholine (14 species), phosphatidylethanolamine (28 species), phosphatidylglycerol (6 species), phosphatidylinositol (11species), cardiolipin (4 species), ceramide (8 species), hexosylceramide (20 species), dihexosylceramide (2 species), trihexosylceramide (1 species), sitosterol ester (1species), acyl hexosyl campesterol ester (5 species), acyl hexosyl sitosterol ester (6 species), digalactosyldiacylglycerol (6 species), monogalactosyldiacylglycerol (9 species), monogalactosylmonoacylglycerol (2 species), and sulfoquinovosyldiacylglycerol (3 species), were first identified in rice during storage. In addition, ceramide, fatty acid, (O-acyl)-1-hydroxy fatty acid, phosphatidylcholine, phosphatidylethanolamine, phosphatidylglycerol, lysophosphatidylcholine, and diglyceride were quantified. Furthermore, statistical analysis of all lipids was performed based on MetaboAnalyst software. The results showed that 22 lipids were significantly different between fresh and stored (360 and 540 days storage) rice demonstrating that lipid composition changed during storage. These different lipids involved 11 metabolic pathways, of which linoleic acid metabolism, glycerophospholipid metabolism, and cutin, suberine and wax biosynthesis were the most relevant. Our study provides useful information for lipidomics profile of rice during storage.
大米是世界上主要的主食之一;然而,大米的脂质谱及其在储存过程中的变化仍不清楚。在此,应用 UPLC-Q-Exactive Orbitrap/MS 方法对储存过程中的大米进行全面的脂质组学分析。共鉴定出 277 种脂质中的 21 个亚类,包括脂肪酸(36 种)、(O-酰基)-1-羟基脂肪酸(6 种)、二酰基甘油(16 种)、三酰基甘油(89 种)、溶血磷脂酰胆碱(4 种)、磷脂酰胆碱(14 种)、磷脂酰乙醇胺(28 种)、磷脂酰甘油(6 种)、磷脂酰肌醇(11 种)、心磷脂(4 种)、神经酰胺(8 种)、己糖神经酰胺(20 种)、二己糖神经酰胺(2 种)、三己糖神经酰胺(1 种)、豆甾醇酯(1 种)、酰基己糖胆固醇酯(5 种)、酰基己糖豆甾醇酯(6 种)、双半乳糖二酰基甘油(6 种)、单半乳糖二酰基甘油(9 种)、单半乳糖单酰基甘油(2 种)和磺基奎诺二酰基甘油(3 种)。此外,还定量了神经酰胺、脂肪酸、(O-酰基)-1-羟基脂肪酸、磷脂酰胆碱、磷脂酰乙醇胺、磷脂酰甘油、溶血磷脂酰胆碱和二酰基甘油。此外,基于 MetaboAnalyst 软件对所有脂质进行了统计分析。结果表明,新鲜大米和储存(360 和 540 天储存)大米之间有 22 种脂质存在显著差异,表明脂质组成在储存过程中发生了变化。这些不同的脂质涉及 11 条代谢途径,其中亚麻酸代谢、甘油磷脂代谢以及角鲨烯、法呢醇和蜡质生物合成最为相关。本研究为大米在储存过程中的脂质组学图谱提供了有用的信息。