Floros Dimitrios J, Petras Daniel, Kapono Clifford A, Melnik Alexey V, Ling Tie-Jun, Knight Rob, Dorrestein Pieter C
Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San DiegoCA, USA; Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San DiegoCA, USA.
Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San DiegoCA, USA; Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San DiegoCA, USA; State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural UniversityHefei, China.
Front Plant Sci. 2017 Mar 29;8:429. doi: 10.3389/fpls.2017.00429. eCollection 2017.
Plants play an essential part in global carbon fixing through photosynthesis and are the primary food and energy source for humans. Understanding them thoroughly is therefore of highest interest for humanity. Advances in DNA and RNA sequencing and in protein and metabolite analysis allow the systematic description of plant composition at the molecular level. With imaging mass spectrometry, we can now add a spatial level, typically in the micrometer-to-centimeter range, to their compositions, essential for a detailed molecular understanding. Here we present an LC-MS based approach for 3D plant imaging, which is scalable and allows the analysis of entire plants. We applied this approach in a case study to pepper and tomato plants. Together with MS/MS spectra library matching and spectral networking, this non-targeted workflow provides the highest sensitivity and selectivity for the molecular annotations and imaging of plants, laying the foundation for studies of plant metabolism and plant-environment interactions.
植物通过光合作用在全球碳固定中发挥着至关重要的作用，并且是人类主要的食物和能源来源。因此，全面了解植物对人类来说具有极大的重要性。DNA和RNA测序以及蛋白质和代谢物分析的进展使得在分子水平上对植物组成进行系统描述成为可能。借助成像质谱技术，我们现在能够在其组成中增加一个空间维度，通常在微米到厘米范围内，这对于详细的分子理解至关重要。在此，我们展示了一种基于液相色谱 - 质谱联用的3D植物成像方法，该方法具有可扩展性，能够对整株植物进行分析。我们在一个案例研究中将此方法应用于辣椒和番茄植株。结合串联质谱（MS/MS）谱库匹配和光谱网络分析，这种非靶向工作流程为植物的分子注释和成像提供了最高的灵敏度和选择性，为植物代谢和植物 - 环境相互作用的研究奠定了基础。
