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首页> 外文期刊>Chinese Medicine >Metabolomics approach reveals annual metabolic variation in roots of Cyathula officinalis Kuan based on gas chromatography–mass spectrum
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Metabolomics approach reveals annual metabolic variation in roots of Cyathula officinalis Kuan based on gas chromatography–mass spectrum

机译:代谢组学方法揭示了基于气相色谱-质谱法分析的小叶茅根的年度代谢变化

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Background Herbal quality is strongly influenced by harvest time. It is therefore one of crucial factors that should be well respected by herbal producers when optimizing cultivation techniques, so that to obtain herbal products of high quality. In this work, we paid attention on one of common used Chinese herbals, Cyathula officinalis Kuan. According to previous studies, its quality may be related with growth years because of the variation of several main bioactive components in different growth years. However, information about the whole chemical composition is still scarce, which may jointly determine the herbal quality. Methods Cyathula officinalis samples were collected in 1–4 growth years after sowing. To obtain a global insight on chemical profile of herbs, we applied a metabolomics approach based on gas chromatography–mass spectrum. Analysis of variance, principal component analysis, partial least squares discriminant analysis and hierarchical cluster analysis were combined to explore the significant difference in different growth years. Results 166 metabolites were identified by using gas chromatography–mass spectrum method. 63 metabolites showed significant change in different growth years in terms of analysis of variance. Those metabolites then were grouped into 4 classes by hierarchical cluster analysis, characterizing the samples of different growth ages. Samples harvested in the earliest years (1–2) were obviously differ with the latest years (3–4) as reported by principal component analysis. Further, partial least squares discriminant analysis revealed the detail difference in each growth year. Gluconic acid, xylitol, glutaric acid, pipecolinic acid, ribonic acid, mannose, oxalic acid, digalacturonic acid, lactic acid, 2-deoxyerythritol, acetol, 3-hydroxybutyric acid, citramalic acid, N -carbamylglutamate, and cellobiose are the main 15 discrimination metabolites between different growth years. Conclusion Harvest time should be well considered when producing C. officinalis. In order to boost the consistency of herbal quality, C. officinalis is recommended to harvest in 4th growth year. The method of GC–MS combined with multivariate analysis was a powerful tool to evaluate the herbal quality.
机译:背景草药质量受收获时间的影响很大。因此,这是草药生产者在优化栽培技术时应充分尊重的关键因素之一,以便获得高质量的草药产品。在这项工作中,我们关注了一种常用的中草药Cyathula officinalis Kuan。根据以前的研究,由于几种主要生物活性成分在不同生长年中的变化,其质量可能与生长年有关。但是,有关整个化学成分的信息仍然很少,这可能共同决定草药的质量。方法播种后1–4个生长年收集鼠尾草样品。为了获得有关草药化学特性的全球见解,我们应用了基于气相色谱-质谱的代谢组学方法。方差分析,主成分分析,偏最小二乘判别分析和层次聚类分析相结合,探讨了不同增长年份的显着差异。结果采用气相色谱-质谱法鉴定出166种代谢物。从方差分析的角度来看,63种代谢物在不同的生长年份显示出显着变化。然后,通过层次聚类分析将这些代谢物分为4类,以表征不同生长年龄的样品。主成分分析表明,最早的年份(1-2)中采集的样品与最近的年份(3-4)中的样品明显不同。此外,偏最小二乘判别分析揭示了每个增长年份的细节差异。葡萄糖酸,木糖醇,戊二酸,胡椒碱酸,核糖酸,甘露糖,草酸,二半乳糖醛酸,乳酸,2-脱氧赤藓糖醇,丙酮醇,3-羟基丁酸,柠檬酸,N-氨基甲酰基谷氨酸和纤维二糖是主要的15生长年之间的代谢产物。结论在生产C.officinalis时应充分考虑收获时间。为了提高草药质量的一致性,建议在第4个生长年收获C. officinalis。 GC-MS方法与多变量分析相结合是评估草药质量的有力工具。

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