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基于气相色谱/质谱的伪靶向方法研究不同种植区和气候因素对烟叶代谢特征的影响。

Investigation of the relationship between the metabolic profile of tobacco leaves in different planting regions and climate factors using a pseudotargeted method based on gas chromatography/mass spectrometry.

机构信息

CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences , 457 Zhongshan Road, 116023 Dalian, China.

出版信息

J Proteome Res. 2013 Nov 1;12(11):5072-83. doi: 10.1021/pr400799a. Epub 2013 Oct 14.

Abstract

An improved pseudotargeted method using gas chromatography/mass spectrometry (GC/MS) was developed to investigate the metabolic profile of tobacco leaves from three planting regions (Yunnan, Guizhou, and Henan provinces). The analytical characteristics of the method with regard to reproducibility, precision, linearity, and stability were satisfactory for metabolic profiling study. Partial least-squares-discriminant analysis and hierarchical cluster analysis demonstrated that the metabolic profiles of tobacco from the Yunnan and Guizhou regions were different from that from the Henan province. The amino acid (e.g., phenylalanine, leucine, and tyrosine) and carbohydrate (e.g., fructose, trehalose, and sucrose) contents were the highest in Henan tobacco. The highest contents of organic acids (e.g., isocitrate, citrate, and fumarate) of the TCA cycle and antioxidants (e.g., quinate, chlorogenic acid, and ascorbate) were found in Guizhou tobacco. The correlation coefficients between metabolite content and climate factors (rainfall, sunshine, and temperature) demonstrated that drought facilitated the accumulation of sugars and amino acids. The content of TCA cycle intermediates could be influenced by multiple climate factors. This study demonstrates that the pseudotargeted method with GC/MS is suitable for the investigation of the metabolic profiling of tobacco leaves and the assessment of differential metabolite levels related to the growing regions.

摘要

建立了一种改良的基于气相色谱/质谱联用技术(GC/MS)的伪靶向方法,用于研究来自三个种植区(云南、贵州和河南省)的烟叶的代谢轮廓。该方法在重现性、精密度、线性和稳定性方面具有良好的分析特性,适用于代谢组学研究。偏最小二乘判别分析和层次聚类分析表明,云南和贵州烟叶的代谢轮廓与河南烟叶不同。河南烟叶的氨基酸(如苯丙氨酸、亮氨酸和酪氨酸)和碳水化合物(如果糖、海藻糖和蔗糖)含量最高。贵州烟叶的 TCA 循环有机酸(如异柠檬酸、柠檬酸和富马酸)和抗氧化剂(如奎尼酸、绿原酸和抗坏血酸)含量最高。代谢物含量与气候因素(降雨量、日照和温度)之间的相关系数表明,干旱有利于糖和氨基酸的积累。TCA 循环中间产物的含量可能受到多种气候因素的影响。本研究表明,GC/MS 伪靶向方法适用于烟叶代谢组学的研究和与生长区域相关的差异代谢物水平的评估。

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