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Discovery study of integrative metabolic profiles of sesame seeds cultivated in different countries

机译：不同国家培养的芝麻种子整合代谢谱的发现研究

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Nutrition-compositional evaluation is critical for quality control and value determination of agricultural products. Sesame seed is an important crop worldwide, enriched with primary nutrients and bioactive compounds. Here, we metabo-typed sesame seeds cultivated in Korea (N = 20) and imported from China (N = 11), South Asia (India and Pakistan), and Africa (Nigeria and Ethiopia) based on 243 metabolites determined by the combination of GC-MS and LC-MS. First, PLS-DA coupled to VIP analysis proposed ten-metabolite recomposite for biomarker. Receiver operating characteristic (ROC) analysis demonstrated the best predictability of the tenmetabolite recomposite according to the four areas (AUCs ranged 0.93-1.00). We further interrogated the unique metabolic features of 20 Korean domestic samples. Unbiased metabo-typing of the profiles showed the strong association according to the longitudinal coordination of the cultivated regions. The resultant 3 groups presented the regional specificity in metabolite contents based on chemical enrichment analysis. Particularly, the northwest region was featured by enriched amino acids, sugar alcohols, and pyrrolidinones. The central region presented relatively higher contents in various types of sugar alcohols, indoles, and fatty acids whereas the east province and south coast showed higher contents in dicarboxylic acids and dipeptides.
机译：营养 - 组成评价对于农产品质量控制和价值确定至关重要。芝麻是全球的重要作物，富含原发性营养和生物活性化合物。在这里，我们在韩国（n = 20）培养的摩耶德类型的芝麻种子（n = 11），基于243代谢物的组合确定了243名代谢物（N = 11） GC-MS和LC-MS。首先，PLS-DA耦合到VIP分析，提出了生物标志物的10代谢物核复合材料。接收器操作特征（ROC）分析证明了根据四个区域（AUC）的TETMETABOLITE重组的最佳可预测性（AUCS范围为0.93-1.00）。我们进一步询问了20个韩国国内样本的独特代谢特征。根据栽培区域的纵向协调，剖面的无偏见的元谱键入突出的关联。结果3组基于化学富集分析呈现了代谢产物含量的区域特异性。特别是，西北地区由富集的氨基酸，糖醇和吡咯烷酮为特征。中央区域呈现出相对较高的含量在各种类型的糖醇，吲哚和脂肪酸中，而东省和南海岸在二羧酸和二肽中显示出更高的内容物。

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