Bredesen Center for Interdisciplinary Research & Graduate Education, University of Tennessee, Knoxville, TN, 37996, USA.
Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA.
Sci Rep. 2019 Apr 9;9(1):5810. doi: 10.1038/s41598-019-42118-9.
Characterizing low molecular weight (LMW) dissolved organic matter (DOM) in soils and evaluating the availability of this labile pool is critical to understanding the underlying mechanisms that control carbon storage or release across terrestrial systems. However, due to wide-ranging physicochemical diversity, characterizing this complex mixture of small molecules and how it varies across space remains an analytical challenge. Here, we evaluate an untargeted approach to detect qualitative and relative-quantitative variations in LMW DOM with depth using water extracts from a soil core from the Alaskan Arctic, a unique system that contains nearly half the Earth's terrestrial carbon and is rapidly warming due to climate change. We combined reversed-phase and hydrophilic interaction liquid chromatography, and nano-electrospray ionization coupled with high-resolution tandem mass spectrometry in positive- and negative-ionization mode. The optimized conditions were sensitive, robust, highly complementary, and enabled detection and putative annotations of a wide range of compounds (e.g. amino acids, plant/microbial metabolites, sugars, lipids, peptides). Furthermore, multivariate statistical analyses revealed subtle but consistent and significant variations with depth. Thus, this platform is useful not only for characterizing LMW DOM, but also for quantifying relative variations in LMW DOM availability across space, revealing hotspots of biogeochemical activity for further evaluation.
表征土壤中低相对分子质量(LMW)溶解性有机质(DOM)并评估其生物可利用性对于理解控制陆地系统中碳存储或释放的潜在机制至关重要。然而,由于其广泛的物理化学多样性,对该小分子复杂混合物的特征及其在空间上的变化仍然是一个分析挑战。在这里,我们评估了一种非靶向方法,用于检测阿拉斯加北极地区土壤芯水提物中 LMW DOM 的定性和相对定量变化,该地区是一个独特的系统,包含了近一半的地球陆地碳,并且由于气候变化而迅速变暖。我们结合反相和亲水相互作用液相色谱,以及正、负离子化模式下的纳流电喷雾电离与高分辨率串联质谱联用,对其进行了优化。优化后的条件具有较高的灵敏度、稳健性和互补性,能够检测和推测出广泛的化合物(例如氨基酸、植物/微生物代谢物、糖、脂质、肽)。此外,多元统计分析显示出与深度相关的细微但一致且显著的变化。因此,该平台不仅可用于表征 LMW DOM,还可用于量化空间上 LMW DOM 生物可利用性的相对变化,揭示生物地球化学活性的热点,以供进一步评估。