Radhika Khanna, Khushaboo Bhadoriya, Gaurav Pandey, V. K. Varshney
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Various statistical techniques, including ANOVA, Principal Component Analysis (PCA), Hierarchical Cluster Analysis (HCA), violin plots, scatter plots, box-and-whisker plots, and heatmaps, were employed to illustrate the relative quantitative differences among compounds based on their peak intensities across these regions. Our investigation revealed 34 marker compounds consistently detected across all samples (locations). These compounds were screened using rigorous filtering criteria, incorporating a moderated <i>t</i>-test and multiple testing adjustments using the Benjamini–Hochberg false discovery rate (FDR) approach. Furthermore, we pioneered the identification of the phenylpropanoid and flavonoid biosynthesis pathways in <i>C. torulosa</i>, providing new insights into its metabolic profile. 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引用次数: 0
摘要
C. torulosa,被称为喜马拉雅或不丹柏树,是一种重要的常绿针叶树,通常可以达到20到45米的高度。该物种主要分布在不丹、印度北部、尼泊尔和西藏的喜马拉雅地区。在这项研究中,我们利用超高效液相色谱-四极杆飞行时间质谱(UPLC-QTOF-MS)在正离子模式下,结合化学计量学分析,研究了在北阿坎德邦和喜马偕尔邦14个地理不同地区采集的C. torulosa针的代谢组学特征。利用方差分析(ANOVA)、主成分分析(PCA)、层次聚类分析(HCA)、小提琴图、散点图、盒须图和热图等统计技术,分析了这些地区化合物峰强度的相对定量差异。我们的调查揭示了34种标记化合物在所有样品(地点)中一致检测到。这些化合物使用严格的过滤标准进行筛选,包括适度t检验和使用benjamin - hochberg错误发现率(FDR)方法的多重测试调整。此外,我们率先鉴定了C. torulosa中苯丙素和类黄酮的生物合成途径,为其代谢谱提供了新的见解。本研究为今后的物种代谢组研究奠定了基础,有助于在遗传多样性、生态适应和气候适应等方面指导研究。绘制这些途径加深了对C. torulosa代谢过程的科学认识,有助于更清楚地了解其独特的生化组成。
Geographical Influence on Metabolite Profiles of Cupressus torulosa: UPLC-QTOF-MS (Positive Mode) and Chemometric Insights
C. torulosa, known as the Himalayan or Bhutan cypress, is a significant evergreen conifer that typically reaches heights between 20 and 45 m. This species is primarily found in the Himalayan regions of Bhutan, northern India, Nepal, and Tibet. In this study, we utilized ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) in positive ion mode, along with chemometric analysis, to investigate the metabolomic profiles of C. torulosa needles collected from 14 geographically distinct areas in Uttarakhand and Himachal Pradesh. Various statistical techniques, including ANOVA, Principal Component Analysis (PCA), Hierarchical Cluster Analysis (HCA), violin plots, scatter plots, box-and-whisker plots, and heatmaps, were employed to illustrate the relative quantitative differences among compounds based on their peak intensities across these regions. Our investigation revealed 34 marker compounds consistently detected across all samples (locations). These compounds were screened using rigorous filtering criteria, incorporating a moderated t-test and multiple testing adjustments using the Benjamini–Hochberg false discovery rate (FDR) approach. Furthermore, we pioneered the identification of the phenylpropanoid and flavonoid biosynthesis pathways in C. torulosa, providing new insights into its metabolic profile. This work establishes a foundational reference for future research into the species metabolome, helping guide studies in areas like genetic diversity, ecological adaptations, and climate resilience in C. torulosa. Mapping these pathways deepens scientific knowledge of C. torulosa's metabolic processes, contributing to a clearer understanding of its unique biochemical makeup.
期刊介绍:
The Journal of Chemometrics is devoted to the rapid publication of original scientific papers, reviews and short communications on fundamental and applied aspects of chemometrics. It also provides a forum for the exchange of information on meetings and other news relevant to the growing community of scientists who are interested in chemometrics and its applications. Short, critical review papers are a particularly important feature of the journal, in view of the multidisciplinary readership at which it is aimed.