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Metabolomic profiling of matured coconut water during post-harvest storage revealed discrimination and distinct changes in metabolites

机译:收获后储存过程中成熟椰子水的代谢组学分析表明,代谢物存在歧视和明显变化

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The metabolites of coconut water stored at room temperature were analyzed using UPLC-MS/MS and multivariate statistical analysis to identify the differential biomarkers and metabolic pathways during post-harvest storage. Principal component analysis (PCA), partial least squares-discriminate analysis (PLS-DA), and orthogonal projections to latent structures discriminant analysis (OPLS-DA) were employed to analyze the UPLC-MS/MS data set of 34 matured coconut water samples collected after 0, 1, 2, 3, 4, and 5 months of storage (MOS); moreover, the p -value and fold change were chosen to identify the differential biomarkers; furthermore, a KEGG pathway was applied to analyze the metabolic pathways. All samples were discriminated well in the OPLS-DA model and were divided into two clusters: groups A (0 MOS, and so on), B, C, and D were in one cluster, and groups E and F were in another. A total of 18 biomarkers were identified among all groups and 12 biomarkers between groups A and E, from which we concluded that the post-harvest storage life of matured coconut water shall not exceed 3 months and the pathways of the TCA cycle, protein hydrolysis from coconut meat, and interconversion among amino acids were mainly enriched during the post-harvest storage.
机译:使用UPLC-MS / MS和多元统计分析法分析室温下储存的椰子水的代谢物,以鉴定收获后储存期间的差异生物标志物和代谢途径。应用主成分分析(PCA),偏最小二乘-偏析(PLS-DA)和对潜在结构判别分析的正交投影(OPLS-DA)来分析34个成熟椰子水样品的UPLC-MS / MS数据集经过0、1、2、3、4和5个月的存储(MOS)收集;此外,选择p值和倍数变化来鉴别差异生物标志物。此外,KEGG途径被用于分析代谢途径。在OPLS-DA模型中对所有样本进行了很好的区分,并分为两个簇:A组(0 MOS等),B,C和D在一个簇中,而E和F在另一个簇中。在所有组中共鉴定出18种生物标志物,在A组和E组之间鉴定出12种生物标志物,由此得出的结论是,成熟椰子水的收获后储存期不得超过3个月,TCA循环,蛋白质水解的途径椰子肉和氨基酸之间的相互转化主要在收获后的存储过程中丰富。

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