UMR C53-Peuplements Végétaux et Bioagresseurs en Milieu Tropical, Faculté des Sciences et Technologies, Université de La Réunion, La Réunion, France.
Phytochemistry. 2010 Apr;71(5-6):567-73. doi: 10.1016/j.phytochem.2009.12.011. Epub 2010 Jan 13.
The metabolomic analysis of Vanilla planifolia leaves collected at different developmental stages was carried out using (1)H-nuclear magnetic resonance (NMR) spectroscopy and multivariate data analysis in order to evaluate their variation. Ontogenic changes of the metabolome were considered since leaves of different ages were collected at two different times of the day and in two different seasons. Principal component analysis (PCA) and partial least square modeling discriminate analysis (PLS-DA) of (1)H NMR data provided a clear separation according to leaf age, time of the day and season of collection. Young leaves were found to have higher levels of glucose, bis[4-(beta-D-glucopyranosyloxy)-benzyl]-2-isopropyltartrate (glucoside A) and bis[4-(beta-D-glucopyranosyloxy)-benzyl]-2-(2-butyl)-tartrate (glucoside B), whereas older leaves had more sucrose, acetic acid, homocitric acid and malic acid. Results obtained from PLS-DA analysis showed that leaves collected in March 2008 had higher levels of glucosides A and B as compared to those collected in August 2007. However, the relative standard deviation (RSD) exhibited by the individual values of glucosides A and B showed that those compounds vary more according to their developmental stage (50%) than to the time of day or the season in which they were collected (19%). Although morphological variations of the V. planifolia accessions were observed, no clear separation of the accessions was determined from the analysis of the NMR spectra. The results obtained in this study, show that this method based on the use of (1)H NMR spectroscopy in combination with multivariate analysis has a great potential for further applications in the study of vanilla leaf metabolome.
采用 1H 核磁共振（NMR）光谱和多元数据分析方法，对不同发育阶段收集的香荚兰叶片进行代谢组学分析，以评估其变化。考虑到不同年龄的叶片是在一天中的不同时间和两个不同的季节收集的，因此研究了代谢组的个体发育变化。主成分分析（PCA）和偏最小二乘建模判别分析（PLS-DA）对 1H NMR 数据的分析，根据叶片年龄、一天中的时间和采集季节，提供了清晰的分离。结果表明，年轻叶片的葡萄糖、双[4-（β-D-吡喃葡萄糖基氧基）-苄基]-2-异丙基酒石酸酯（糖苷 A）和双[4-（β-D-吡喃葡萄糖基氧基）-苄基]-2-（2-丁基）-酒石酸酯（糖苷 B）含量较高，而老叶片的蔗糖、乙酸、同型柠檬酸和苹果酸含量较高。PLS-DA 分析结果表明，与 2007 年 8 月采集的叶片相比，2008 年 3 月采集的叶片中糖苷 A 和 B 的含量较高。然而，糖苷 A 和 B 的个体值的相对标准偏差（RSD）表明，与一天中的时间或采集季节相比，这些化合物根据其发育阶段的变化更大（50%），而不是 19%。尽管观察到香荚兰属植物的形态变异，但从 NMR 光谱分析中并没有确定这些植物的明确分离。本研究结果表明，这种基于 1H NMR 光谱结合多元分析的方法在香草叶代谢组学的进一步研究中具有很大的应用潜力。
