Institute of Terrestrial Ecosystems, ETH Zurich, 8092, Zurich, Switzerland.
Ecosystem Ecology, Swiss Federal Research Institute WSL, 8903, Birmensdorf, Switzerland.
New Phytol. 2024 Oct;244(1):21-31. doi: 10.1111/nph.19973. Epub 2024 Jul 17.
Even though they share many thematical overlaps, plant metabolomics and stable isotope ecology have been rather separate fields mainly due to different mass spectrometry demands. New high-resolution bioanalytical mass spectrometers are now not only offering high-throughput metabolite identification but are also suitable for compound- and intramolecular position-specific isotope analysis in the natural isotope abundance range. In plant metabolomics, label-free metabolic pathway and metabolic flux analysis might become possible when applying this new technology. This is because changes in the commitment of substrates to particular metabolic pathways and the activation or deactivation of others alter enzyme-specific isotope effects. This leads to differences in intramolecular and compound-specific isotope compositions. In plant isotope ecology, position-specific isotope analysis in plant archives informed by metabolic pathway analysis could be used to reconstruct and separate environmental impacts on complex metabolic processes. A technology-driven linkage between the two disciplines could allow us to extract information on environment-metabolism interaction from plant archives such as tree rings but also within ecosystems. This would contribute to a holistic understanding of how plants react to environmental drivers, thus also providing helpful information on the trajectories of the vegetation under the conditions to come.
尽管植物代谢组学和稳定同位素生态学有许多主题重叠,但由于质谱需求不同,它们主要仍是两个相对独立的领域。新型高分辨率生物分析质谱仪不仅提供高通量代谢物鉴定,而且适用于天然同位素丰度范围内的化合物和分子内位置特异性同位素分析。在植物代谢组学中,当应用这项新技术时,可能会出现无标记代谢途径和代谢通量分析。这是因为底物向特定代谢途径的分配变化以及其他酶的激活或失活会改变酶特异性同位素效应,从而导致分子内和化合物特异性同位素组成的差异。在植物同位素生态学中,基于代谢途径分析的植物档案中的位置特异性同位素分析可以用于重建和分离对复杂代谢过程的环境影响。这两个学科之间以技术为驱动的联系,可以使我们从树木年轮等植物档案中提取有关环境-代谢相互作用的信息,也可以在生态系统内提取相关信息。这将有助于全面了解植物对环境驱动因素的反应,从而为未来条件下植被的发展轨迹提供有价值的信息。