Suppr超能文献

代谢组学方法基于气相色谱-质谱揭示了款冬根系的年度代谢变化。

Metabolomics approach reveals annual metabolic variation in roots of Kuan based on gas chromatography-mass spectrum.

作者信息

Tong Kai, Li Zhao-Ling, Sun Xu, Yan Shen, Jiang Mei-Jie, Deng Meng-Sheng, Chen Ji, Li Jing-Wei, Tian Meng-Liang

机构信息

College of Agronomy, Sichuan Agricultural University, Chengdu, 611130 People's Republic of China.

Maize Institute, Sichuan Agricultural University, Chengdu, 611130 People's Republic of China.

出版信息

Chin Med. 2017 May 3;12:12. doi: 10.1186/s13020-017-0133-1. eCollection 2017.

Abstract

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, 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

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, -carbamylglutamate, and cellobiose are the main 15 discrimination metabolites between different growth years.

CONCLUSION

Harvest time should be well considered when producing In order to boost the consistency of herbal quality, 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.

摘要

背景

草药质量受采收时间的强烈影响。因此,在优化栽培技术以获得高质量草药产品时,采收时间是草药生产商应充分重视的关键因素之一。在这项工作中,我们关注了一种常用的中草药——款冬。根据先前的研究,由于不同生长年份几种主要生物活性成分的变化,其质量可能与生长年限有关。然而,关于其整体化学成分的信息仍然匮乏,而这些化学成分可能共同决定草药质量。

方法

在播种后的1 - 4个生长年份采集样本。为全面了解草药的化学特征,我们应用了基于气相色谱 - 质谱的代谢组学方法。结合方差分析、主成分分析、偏最小二乘判别分析和层次聚类分析来探索不同生长年份的显著差异。

结果

采用气相色谱 - 质谱法鉴定出166种代谢物。根据方差分析,63种代谢物在不同生长年份表现出显著变化。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本。主成分分析表明,最早年份(1 - 2年)采收的样本与最晚年份(3 - 4年)采收的样本明显不同。此外,偏最小二乘判别分析揭示了每个生长年份的详细差异。葡萄糖酸、木糖醇、戊二酸、哌啶酸、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、柠苹酸、N - 氨甲酰谷氨酸和纤维二糖是不同生长年份之间主要的15种判别代谢物。

结论

在生产款冬时应充分考虑采收时间。为提高草药质量的一致性,建议在第4个生长年份采收。气相色谱 - 质谱结合多变量分析的方法是评估草药质量的有力工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/053c/5414129/0d442b22e8f2/13020_2017_133_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验