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Light-Dependent Changes in the Spatial Localization of Metabolites in Solenostemon scutellarioides (Coleus Henna) Visualized by Matrix-Free Atmospheric Pressure Electrospray Laser Desorption Ionization Mass Spectrometry Imaging

机译:依赖于无基质的大气压电喷雾激光解吸电离质谱成像可视化黄Sol中代谢产物的空间定位的光依赖性变化

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摘要

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.
机译:植物中叶子颜色的可视化提供了对叶片中存在的某些化合物的直接了解。但是,也存在许多无色化合物。它们的细胞分布在光学上不易识别。在这项研究中,我们通过电喷雾激光解吸电离(ELDI)评估质谱成像(MSI)的适用性,以揭示代谢物的空间分布。 ELDI-MSI是一种无基质的大气压电离方法,该方法利用紫外激光与电喷雾补充电离相结合。我们专门应用ELDI-MSI来确定锦紫苏无刺指甲花半叶中代谢物的空间分布,该半叶生长在完全照明或遮荫的半截面下。我们在28天的时间内每7天监测一次照明变化,以监测代谢产物空间分布的动态变化。在实验叶子的两半之间观察到一种新颖的源库关系。此外,锦紫苏指甲花叶呈现与黄酮类化合物的不同积累相关的视觉上可识别的扇区。因此,我们将差异光照和类黄酮的存在与否与碳水化合物,氨基酸和有机酸积累所揭示的代谢变化相关联。结果表明,ELDI-MSI无需样品制备即可为多种植物代谢物提供空间信息的潜力。

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