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Mapping the Variation of the Carrot Metabolome Using 1H NMR Spectroscopy and Consensus PCA

机译:使用1H NMR光谱和共识PCA绘制胡萝卜代谢组的变化图

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Genetic variation is the most influential factor for carrot (Daucus carota L.) composition. However, difference in metabolite content between carrot varieties has not been described by NMR, although primary metabolites are important for human health and sensory properties. The aim of the present study was to investigate the effect of genotype on carrot metabolite composition using a ~1H NMR-based metabolomics approach. After extraction using aqueous and organic solvents, 25 hydrophilic metabolites, β-carotene, sterols, triacylglycerols, and phospholipids were detected. Multiblock PCA showed that three principal components could be identified for classification of the five carrot varieties using different spectroscopic regions and the results of the two solvent extraction methods as blocks. The varieties were characterized by differences in carbohydrate, amino acid, nucleotide, fatty acid, sterol, and β-carotene contents. ~1H NMR spectroscopy coupled with multiblock data analysis was an efficient and useful tool to map the carrot metabolome and identify genetic differences between varieties.
机译:遗传变异是影响胡萝卜(Daucus carota L.)组成的最重要因素。然而,尽管主要代谢产物对人类健康和感官特性很重要,但胡萝卜品种之间代谢产物含量的差异尚未通过NMR进行描述。本研究的目的是使用基于1H NMR的代谢组学方法研究基因型对胡萝卜代谢产物组成的影响。使用水性和有机溶剂萃取后,检测到25种亲水性代谢物,β-胡萝卜素,固醇,三酰基甘油和磷脂。 Multiblock PCA表明,可以使用不同的光谱区域和两种溶剂萃取方法的结果,确定三个主要成分来对五个胡萝卜品种进行分类。该品种的特征是碳水化合物,氨基酸,核苷酸,脂肪酸,固醇和β-胡萝卜素含量不同。 〜1H NMR光谱结合多嵌段数据分析是绘制胡萝卜代谢组并鉴定品种间遗传差异的有效工具。

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