Abstract
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.
Original language | English |
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Article number | 5810 |
Journal | Scientific Reports |
Volume | 9 |
Issue number | 1 |
DOIs | |
State | Published - Dec 1 2019 |
Funding
This research was funded by the NSF Graduate Research Fellowship Program (GRFP) Grant No. DGE-1452154 and the Next-Generation Ecosystem Experiments (NGEE-Arctic) project at Oak Ridge National Laboratory. ORNL is managed by the University of Tennessee \u2013 Battelle, L.L.C. under contract DE-AC05-00OR22725 for the U.S. Department of Energy (DOE). NGEE-Arctic is supported by the Office of Biological and Environmental Research in the DOE Office of Science. The authors would like to acknowledge Sarvesh Iyer, Ivan Villalobos-Solis, Tyler King, and Hannah Simpson for their help with processing soils and data entry.