基于uplc - qtof - ms的地理多样性金针叶代谢组学和化学计量学研究。

IF 2.6 3区 化学 Q2 CHEMISTRY, ANALYTICAL
Radhika Khanna, Khushaboo Bhadoriya, Gaurav Pandey and V. K. Varshney
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引用次数: 0

摘要

torulosa柏树是一种常青树,通常被称为喜马拉雅或不丹柏树,是一种重要的针叶树,原产于不丹、印度北部、尼泊尔和西藏的喜马拉雅地区。本研究采用超高效液相色谱-四极杆飞行时间质谱(UPLC-QTOF-MS)结合化学计量学方法,对采自14个不同地理区域的金针叶的代谢物谱进行了分析。先进的统计工具,包括主成分分析(PCA)和层次聚类分析(HCA),被用来识别这些地点化学成分的显著变化。我们的分析确定了所有样品中一致存在的24种标记化合物,使用严格的过滤标准进行筛选,包括单向方差分析、缓和t检验和本杰明-霍赫伯格FDR方法的多重检验校正。此外,我们还首次建立了黄酮类化合物的生物合成途径,增强了对黄酮代谢指纹图谱的认识。这些发现为深入了解牛皮草的植物化学多样性提供了重要依据,为质量控制和鉴定提供了有价值的工具,并推动了UPLC-QTOF-MS在天然产物研究中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

UPLC-QTOF-MS-based metabolomics and chemometrics studies of geographically diverse C. torulosa needles†

UPLC-QTOF-MS-based metabolomics and chemometrics studies of geographically diverse C. torulosa needles†

Cupressus torulosa, an evergreen tree commonly known as the Himalayan or Bhutan cypress, is a significant coniferous species native to the Himalayan regions of Bhutan, northern India, Nepal, and Tibet. In this study, we employed ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) integrated with chemometrics to analyze the metabolite profiles of C. torulosa needles collected from 14 distinct geographical regions. Advanced statistical tools, including Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA), were utilized to identify significant variations in the chemical composition across these locations. Our analysis identified 24 marker compounds consistently present in all samples, screened using stringent filtering criteria including One-way ANOVA, moderated T-test, and multiple testing correction with the Benjamini–Hochberg FDR method. Additionally, for the first time, we established the flavonoid biosynthesis pathway in C. torulosa, enhancing the understanding of its metabolic fingerprint. These findings provide critical insights into the phytochemical diversity of C. torulosa and offer valuable tools for quality control, authentication and advancing the application of UPLC-QTOF-MS in natural product research.

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来源期刊
Analytical Methods
Analytical Methods CHEMISTRY, ANALYTICAL-FOOD SCIENCE & TECHNOLOGY
CiteScore
5.10
自引率
3.20%
发文量
569
审稿时长
1.8 months
期刊介绍: Early applied demonstrations of new analytical methods with clear societal impact
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