Department of Molecular Genetics, Leibniz Institute for Plant Genetics and Crop Plant Research, 06466 Gatersleben, Germany.
Biomolecules. 2021 Nov 18;11(11):1717. doi: 10.3390/biom11111717.
Fingerprint analysis is a common technique in forensic and criminal investigations. Similar techniques exist in the field of infrared spectroscopy to identify biomolecules according to their characteristic spectral fingerprint features. These unique markers are located in a wavenumber range from 1800 to 600 cm in the mid infrared region. Here, a novel bioanalytical concept of correlating these spectral features with corresponding mass spectrometry datasets to unravel metabolic clusters within complex plant tissues was applied. As proof of concept, vascular bundles of oilseed rape () were investigated, one of the most important and widely cultivated temperate zone oilseed crops. The link between mass spectrometry data and spectral data identified features that co-aligned within both datasets. Regions of origin were then detected by searching for these features in hyperspectral images of plant tissues. This approach, based on co-alignment and co-localization, finally enabled the detection of eight distinct metabolic clusters, reflecting functional and structural arrangements within the vascular bundle. The proposed analytical concept may assist future synergistic research approaches and may lead to biotechnological innovations with regard to crop yield and sustainability.
指纹分析是法医学和犯罪调查中的常用技术。在红外光谱领域也存在类似的技术，根据生物分子的特征光谱指纹特征来识别它们。这些独特的标记位于中红外区域的波数范围从 1800 到 600cm 之间。在这里，我们应用了一种将这些光谱特征与相应的质谱数据集相关联的新型生物分析概念，以揭示复杂植物组织中的代谢簇。作为概念验证，我们研究了油菜（）的维管束，油菜是温带地区最重要和广泛种植的油籽作物之一。通过在植物组织的高光谱图像中搜索这些特征，可以确定质谱数据和光谱数据之间的联系。然后，通过搜索这些特征来检测起源区域。这种基于共定位和共对准的方法最终能够检测到八个不同的代谢簇，反映了维管束内的功能和结构排列。所提出的分析概念可以辅助未来的协同研究方法，并可能导致与作物产量和可持续性相关的生物技术创新。
