Augustijn D, Roy U, van Schadewijk R, de Groot H J M, Alia A
Leiden Institute of Chemistry, POB 9502, 2300, RA, Leiden, The Netherlands.
Institute of Medical Physics and Biophysics, University of Leipzig, Härtelstr. 16-18, D-04107, Leipzig, Germany.
PLoS One. 2016 Sep 23;11(9):e0163258. doi: 10.1371/journal.pone.0163258. eCollection 2016.
Arabidopsis thaliana is the most widely used model organism for research in plant biology. While significant advances in understanding plant growth and development have been made by focusing on the molecular genetics of Arabidopsis, extracting and understanding the functional framework of metabolism is challenging, both from a technical perspective due to losses and modification during extraction of metabolites from the leaves, and from the biological perspective, due to random variation obscuring how well the function is performed. The purpose of this work is to establish the in vivo metabolic profile directly from the Arabidopsis thaliana leaves without metabolite extraction, to reduce the complexity of the results by multivariate analysis, and to unravel the mitigation of cellular complexity by predominant functional periodicity. To achieve this, we use the circadian cycle that strongly influences metabolic and physiological processes and exerts control over the photosynthetic machinery. High resolution-magic angle spinning nuclear magnetic resonance (HR-MAS NMR) was applied to obtain the metabolic profile directly from intact Arabidopsis leaves. Combining one- and two-dimensional 1H HR-MAS NMR allowed the identification of several metabolites including sugars and amino acids in intact leaves. Multivariate analysis on HR-MAS NMR spectra of leaves throughout the circadian cycle revealed modules of primary metabolites with significant and consistent variations of their molecular components at different time points of the circadian cycle. Since robust photosynthetic performance in plants relies on the functional periodicity of the circadian rhythm, our results show that HR-MAS NMR promises to be an important non-invasive method that can be used for metabolomics of the Arabidopsis thaliana mutants with altered physiology and photosynthetic efficiency.
拟南芥是植物生物学研究中使用最广泛的模式生物。虽然通过聚焦拟南芥的分子遗传学,在理解植物生长和发育方面取得了重大进展,但从代谢物从叶片中提取时的损失和修饰这一技术角度,以及从随机变异掩盖功能执行情况的生物学角度来看,提取和理解代谢的功能框架都具有挑战性。这项工作的目的是直接从拟南芥叶片建立体内代谢谱,不进行代谢物提取,通过多变量分析降低结果的复杂性,并通过主要的功能周期性来揭示细胞复杂性的缓解情况。为实现这一目标,我们利用对代谢和生理过程有强烈影响并对光合机制施加控制的昼夜节律循环。应用高分辨率魔角旋转核磁共振(HR-MAS NMR)直接从完整的拟南芥叶片中获取代谢谱。结合一维和二维1H HR-MAS NMR能够鉴定完整叶片中的几种代谢物,包括糖类和氨基酸。对整个昼夜节律循环中叶片的HR-MAS NMR谱进行多变量分析,揭示了初级代谢物模块,其分子成分在昼夜节律循环的不同时间点有显著且一致的变化。由于植物强大的光合性能依赖于昼夜节律的功能周期性,我们的结果表明,HR-MAS NMR有望成为一种重要的非侵入性方法,可用于对生理和光合效率改变的拟南芥突变体进行代谢组学研究。