Metabolomics analysis of unresolved molecular variability in stoichiometry dynamics of a stream dissolved organic matter

Bahareh Hassanpour, Neal Blair, Ludmilla Aristilde*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Broad molecular classification based on stoichiometric ratio relationships has been used extensively to characterize the chemical diversity of aquatic dissolved organic matter (DOM). However, variability in the molecular composition within this classification has remained elusive, thus limiting the interpretation of DOM dynamics, especially with respect to transport versus transformation patterns in response to hydrologic or landscape changes. Here, leveraging high-frequency spatiotemporal sampling during rainfall events at a Critical Zone Observatory project site in Clear Creek, Iowa, we apply a metabolomics-based analysis validated with fragmentation using tandem mass spectrometry to uncover patterns in the molecular features of the DOM composition that were not resolved by classification based on stoichiometric ratios in the chemical formulae. From upstream to downstream sites, beyond the increased aromaticity implied by changes in the stoichiometric ratios, we identified an increased abundance of flavonoids and other phenylpropanoids, two important subgroups of aromatic compounds. The stoichiometric analysis also proposed a localized decline in the abundance of lipid-like compounds, which we attributed specifically to medium-chain and short-chain fatty acids; other lipids such as long-chain fatty acids and sterol lipids remained unchanged. We further determined in-stream molecular transitions and specific compound degradation by capturing changes in the molecular masses of terpenoids, phenylpropanoids, fatty acids, and amino acids. In sum, the metabolomics analysis of the chemical formulae resolved molecular variability imprinted on the stoichiometric DOM composition to implicate key molecular subgroups underlying carbon transport and cycling dynamics in the stream.

Original languageEnglish (US)
Article number118923
JournalWater Research
Volume223
DOIs
StatePublished - Sep 1 2022

Funding

Metabolomics LC-HRMS data will be available in MetaboLights repository (www.ebi.ac.uk/metabolights/ MTBLS4164) upon publication under the accession MTBLS4164. Data will also be made available upon request. Funding for this research and postdoctoral funding for B.H. was provided by NSF CAREER Grant (CBET-1653092) awarded to L.A. Support for N.B was provided by the NSF Grant EAR 2012850, for the project Network Cluster CINet: Critical Interface Network in Intensively Managed Landscapes, a multidisciplinary and multi-institution collaborative effort. Samples were provided by the Intensively Managed Landscape – Critical Zone Observatory project that was supported by the multi-institutional NSF Grant EAR-1331906. The authors would like to thank Dr. Jean-François Gaillard (Northwestern University) and Yingqian (Chan) Xiong (Northwestern University) for their assistance with the measurements of DOC concentration. Funding for this research and postdoctoral funding for B.H. was provided by NSF CAREER Grant ( CBET-1653092 ) awarded to L.A. Support for N.B was provided by the NSF Grant EAR 2012850 , for the project Network Cluster CINet: Critical Interface Network in Intensively Managed Landscapes, a multidisciplinary and multi-institution collaborative effort. Samples were provided by the Intensively Managed Landscape – Critical Zone Observatory project that was supported by the multi-institutional NSF Grant EAR-1331906 . The authors would like to thank Dr. Jean-François Gaillard (Northwestern University) and Yingqian (Chan) Xiong (Northwestern University) for their assistance with the measurements of DOC concentration.

Keywords

  • Carbon transport
  • Dissolved organic matter
  • Fatty acids
  • Mass spectrometry
  • Phenylpropanoids
  • Phytochemicals

ASJC Scopus subject areas

  • Water Science and Technology
  • Ecological Modeling
  • Pollution
  • Waste Management and Disposal
  • Environmental Engineering
  • Civil and Structural Engineering

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