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Title: Applying the core-satellite species concept: Characteristics of rare and common riverine dissolved organic matter

Abstract

Introduction: Dissolved organic matter (DOM) composition varies over space and time, with a multitude of factors driving the presence or absence of each compound found in the complex DOM mixture. Compounds ubiquitously present across a wide range of river systems (hereafter termed core compounds) may differ in chemical composition and reactivity from compounds present in only a few settings (hereafter termed satellite compounds). Here, we investigated the spatial patterns in DOM molecular formulae presence (occupancy) in surface water and sediments across 97 river corridors at a continental scale using the “Worldwide Hydrobiogeochemical Observation Network for Dynamic River Systems—WHONDRS” research consortium. Methods: We used a novel data-driven approach to identify core and satellite compounds and compared their molecular properties identified with Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS). Results: In this work, we found that core compounds clustered around intermediate hydrogen/carbon and oxygen/carbon ratios across both sediment and surface water samples, whereas the satellite compounds varied widely in their elemental composition. Within surface water samples, core compounds were dominated by lignin-like formulae, whereas protein-like formulae dominated the core pool in sediment samples. In contrast, satellite molecular formulae were more evenly distributed between compound classes in both sediment and water molecules.more » Core compounds found in both sediment and water exhibited lower molecular mass, lower oxidation state, and a higher degree of aromaticity, and were inferred to be more persistent than global satellite compounds. Higher putative biochemical transformations were found in core than satellite compounds, suggesting that the core pool was more processed. Discussion: The observed differences in chemical properties of core and satellite compounds point to potential differences in their sources and contribution to DOM processing in river corridors. Overall, our work points to the potential of data-driven approaches separating rare and common compounds to reduce some of the complexity inherent in studying riverine DOM.« less

Authors:
 [1];  [2];  [3];  [1];  [4];  [5];  [6];  [7];  [8];  [9];  [10];  [3]
+ Show Author Affiliations
  1. Univ. of Québec à Montréal, QC (Canada)
  2. Baylor Univ., Waco, TX (United States); ; Univ. of North Carolina, Chapel Hill, NC (United States)
  3. Univ. of Georgia, Athens, GA (United States)
  4. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  5. Univ. of Cambridge (United Kingdom)
  6. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  7. Federal Institute of Hydrology (BfG), Koblenz (Germany)
  8. Universidade Federal de São Carlos (UFSCar), SP (Brazil)
  9. Oregon State Univ., Corvallis, OR (United States)
  10. Univ. of Cambridge (United Kingdom); Trent Univ., Peterborough, ON (Canada)
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
National Science Foundation (NSF); Natural Sciences and Engineering Research Council of Canada (NSERC); European Research Council (ERC); Canada Research Chairs Program; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES); USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1973076
Report Number(s):
PNNL-SA-183274
Journal ID: ISSN 2624-9375
Grant/Contract Number:  
AC05-76RL01830; OCE-1832178; 387312-14; 804673; AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Frontiers in Water
Additional Journal Information:
Journal Volume: 5; Journal ID: ISSN 2624-9375
Publisher:
Frontiers Media S.A.
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; DOM (dissolved organic matter); FT-ICR-MS; rivers; sediment; surface water; high-resolution mass spectrometry (HRMS)

Citation Formats

Stadler, Masumi, Barnard, Malcolm A., Bice, Kadir, de Melo, Michaela L., Dwivedi, Dipankar, Freeman, Erika C., Garayburu-Caruso, Vanessa A., Linkhorst, Annika, Mateus-Barros, Erick, Shi, Cheng, Tanentzap, Andrew J., and Meile, Christof. Applying the core-satellite species concept: Characteristics of rare and common riverine dissolved organic matter. United States: N. p., 2023. Web. doi:10.3389/frwa.2023.1156042.
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Stadler, Masumi, Barnard, Malcolm A., Bice, Kadir, de Melo, Michaela L., Dwivedi, Dipankar, Freeman, Erika C., Garayburu-Caruso, Vanessa A., Linkhorst, Annika, Mateus-Barros, Erick, Shi, Cheng, Tanentzap, Andrew J., & Meile, Christof. Applying the core-satellite species concept: Characteristics of rare and common riverine dissolved organic matter. United States. https://doi.org/10.3389/frwa.2023.1156042
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Stadler, Masumi, Barnard, Malcolm A., Bice, Kadir, de Melo, Michaela L., Dwivedi, Dipankar, Freeman, Erika C., Garayburu-Caruso, Vanessa A., Linkhorst, Annika, Mateus-Barros, Erick, Shi, Cheng, Tanentzap, Andrew J., and Meile, Christof. Thu . "Applying the core-satellite species concept: Characteristics of rare and common riverine dissolved organic matter". United States. https://doi.org/10.3389/frwa.2023.1156042. https://www.osti.gov/servlets/purl/1973076.
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@article{osti_1973076,
title = {Applying the core-satellite species concept: Characteristics of rare and common riverine dissolved organic matter},
author = {Stadler, Masumi and Barnard, Malcolm A. and Bice, Kadir and de Melo, Michaela L. and Dwivedi, Dipankar and Freeman, Erika C. and Garayburu-Caruso, Vanessa A. and Linkhorst, Annika and Mateus-Barros, Erick and Shi, Cheng and Tanentzap, Andrew J. and Meile, Christof},
abstractNote = {Introduction: Dissolved organic matter (DOM) composition varies over space and time, with a multitude of factors driving the presence or absence of each compound found in the complex DOM mixture. Compounds ubiquitously present across a wide range of river systems (hereafter termed core compounds) may differ in chemical composition and reactivity from compounds present in only a few settings (hereafter termed satellite compounds). Here, we investigated the spatial patterns in DOM molecular formulae presence (occupancy) in surface water and sediments across 97 river corridors at a continental scale using the “Worldwide Hydrobiogeochemical Observation Network for Dynamic River Systems—WHONDRS” research consortium. Methods: We used a novel data-driven approach to identify core and satellite compounds and compared their molecular properties identified with Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS). Results: In this work, we found that core compounds clustered around intermediate hydrogen/carbon and oxygen/carbon ratios across both sediment and surface water samples, whereas the satellite compounds varied widely in their elemental composition. Within surface water samples, core compounds were dominated by lignin-like formulae, whereas protein-like formulae dominated the core pool in sediment samples. In contrast, satellite molecular formulae were more evenly distributed between compound classes in both sediment and water molecules. Core compounds found in both sediment and water exhibited lower molecular mass, lower oxidation state, and a higher degree of aromaticity, and were inferred to be more persistent than global satellite compounds. Higher putative biochemical transformations were found in core than satellite compounds, suggesting that the core pool was more processed. Discussion: The observed differences in chemical properties of core and satellite compounds point to potential differences in their sources and contribution to DOM processing in river corridors. Overall, our work points to the potential of data-driven approaches separating rare and common compounds to reduce some of the complexity inherent in studying riverine DOM.},
doi = {10.3389/frwa.2023.1156042},
journal = {Frontiers in Water},
number = ,
volume = 5,
place = {United States},
year = {Thu Mar 30 00:00:00 EDT 2023},
month = {Thu Mar 30 00:00:00 EDT 2023}
}
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