McVey Patrick A, Alexander Liza E, Fu Xinyu, Xie Bo, Galayda Katherine-Jo, Nikolau Basil J, Houk Robert S
Department of Chemistry, Iowa State University, Ames, IA, United States.
Ames Laboratory-US DOE, Ames, IA, United States.
Front Plant Sci. 2018 Sep 19;9:1348. doi: 10.3389/fpls.2018.01348. eCollection 2018.
The visualization of foliage color in plants provides immediate insight into some of the compounds that exist in the leaf. However, many non-colored compounds are also present; their cellular distributions are not readily identifiable optically. In this study we evaluate the applicability of mass spectrometry imaging (MSI) via electrospray laser desorption ionization (ELDI) to reveal the spatial distribution of metabolites. ELDI-MSI is a matrix free, atmospheric pressure ionization method that utilizes a UV laser coupled with supplemental ionization by electrospray. We specifically applied ELDI-MSI to determine the spatial distribution of metabolites in Coleus Henna half leaves that were grown with half-sections either fully illuminated or shaded. We monitored dynamic changes in the spatial distribution of metabolites in response to the change of illumination every 7 days for a 28 day period. A novel source-sink relationship was observed between the 2 halves of the experimental leaf. Furthermore, Coleus Henna leaves present visually recognizable sectors associated with the differential accumulation of flavonoids. Thus, we correlated the effect of differential illumination and presence or absence of flavonoids with metabolic changes revealed by the accumulation of carbohydrates, amino acids, and organic acids. The results show the potential of ELDI-MSI to provide spatial information for a variety of plant metabolites with little sample preparation.
植物叶片颜色的可视化能让人直接了解叶片中存在的一些化合物。然而,叶片中也存在许多无色化合物,其细胞分布难以通过光学方法轻易识别。在本研究中,我们评估了通过电喷雾激光解吸电离(ELDI)进行质谱成像(MSI)以揭示代谢物空间分布的适用性。ELDI-MSI是一种无基质的大气压电离方法,它利用紫外激光并辅以电喷雾进行电离。我们特别应用ELDI-MSI来确定彩叶草(Coleus Henna)半叶中代谢物的空间分布,该半叶的两半部分分别在全光照或遮光条件下生长。在28天的时间里,我们每隔7天监测一次代谢物空间分布随光照变化的动态变化。在实验叶片的两半之间观察到一种新的源 - 库关系。此外,彩叶草叶片呈现出与黄酮类化合物差异积累相关的肉眼可识别区域。因此,我们将光照差异以及黄酮类化合物的有无所产生的影响与碳水化合物、氨基酸和有机酸积累所揭示的代谢变化联系起来。结果表明,ELDI-MSI在几乎无需样品制备的情况下,有潜力为多种植物代谢物提供空间信息。