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Using Community Science to Reveal the Global Chemogeography of River Metabolomes

River corridor metabolomes reflect organic matter (OM) processing that drives aquatic biogeochemical cycles. Recent work highlights the power of ultrahigh-resolution mass spectrometry for understanding metabolome composition and river corridor metabolism. However, there have been no studies on the g...

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Autores principales: Garayburu-Caruso, Vanessa A., Danczak, Robert E., Stegen, James C., Renteria, Lupita, Mccall, Marcy, Goldman, Amy E., Chu, Rosalie K., Toyoda, Jason, Resch, Charles T., Torgeson, Joshua M., Wells, Jacqueline, Fansler, Sarah, Kumar, Swatantar, Graham, Emily B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7767024/
https://www.ncbi.nlm.nih.gov/pubmed/33419380
http://dx.doi.org/10.3390/metabo10120518
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author Garayburu-Caruso, Vanessa A.
Danczak, Robert E.
Stegen, James C.
Renteria, Lupita
Mccall, Marcy
Goldman, Amy E.
Chu, Rosalie K.
Toyoda, Jason
Resch, Charles T.
Torgeson, Joshua M.
Wells, Jacqueline
Fansler, Sarah
Kumar, Swatantar
Graham, Emily B.
author_facet Garayburu-Caruso, Vanessa A.
Danczak, Robert E.
Stegen, James C.
Renteria, Lupita
Mccall, Marcy
Goldman, Amy E.
Chu, Rosalie K.
Toyoda, Jason
Resch, Charles T.
Torgeson, Joshua M.
Wells, Jacqueline
Fansler, Sarah
Kumar, Swatantar
Graham, Emily B.
author_sort Garayburu-Caruso, Vanessa A.
collection PubMed
description River corridor metabolomes reflect organic matter (OM) processing that drives aquatic biogeochemical cycles. Recent work highlights the power of ultrahigh-resolution mass spectrometry for understanding metabolome composition and river corridor metabolism. However, there have been no studies on the global chemogeography of surface water and sediment metabolomes using ultrahigh-resolution techniques. Here, we describe a community science effort from the Worldwide Hydrobiogeochemistry Observation Network for Dynamic River Systems (WHONDRS) consortium to characterize global metabolomes in surface water and sediment that span multiple stream orders and biomes. We describe the distribution of key aspects of metabolomes including elemental groups, chemical classes, indices, and inferred biochemical transformations. We show that metabolomes significantly differ across surface water and sediment and that surface water metabolomes are more rich and variable. We also use inferred biochemical transformations to identify core metabolic processes shared among surface water and sediment. Finally, we observe significant spatial variation in sediment metabolites between rivers in the eastern and western portions of the contiguous United States. Our work not only provides a basis for understanding global patterns in river corridor biogeochemical cycles but also demonstrates that community science endeavors can enable global research projects that are unfeasible with traditional research models.
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spelling pubmed-77670242020-12-28 Using Community Science to Reveal the Global Chemogeography of River Metabolomes Garayburu-Caruso, Vanessa A. Danczak, Robert E. Stegen, James C. Renteria, Lupita Mccall, Marcy Goldman, Amy E. Chu, Rosalie K. Toyoda, Jason Resch, Charles T. Torgeson, Joshua M. Wells, Jacqueline Fansler, Sarah Kumar, Swatantar Graham, Emily B. Metabolites Article River corridor metabolomes reflect organic matter (OM) processing that drives aquatic biogeochemical cycles. Recent work highlights the power of ultrahigh-resolution mass spectrometry for understanding metabolome composition and river corridor metabolism. However, there have been no studies on the global chemogeography of surface water and sediment metabolomes using ultrahigh-resolution techniques. Here, we describe a community science effort from the Worldwide Hydrobiogeochemistry Observation Network for Dynamic River Systems (WHONDRS) consortium to characterize global metabolomes in surface water and sediment that span multiple stream orders and biomes. We describe the distribution of key aspects of metabolomes including elemental groups, chemical classes, indices, and inferred biochemical transformations. We show that metabolomes significantly differ across surface water and sediment and that surface water metabolomes are more rich and variable. We also use inferred biochemical transformations to identify core metabolic processes shared among surface water and sediment. Finally, we observe significant spatial variation in sediment metabolites between rivers in the eastern and western portions of the contiguous United States. Our work not only provides a basis for understanding global patterns in river corridor biogeochemical cycles but also demonstrates that community science endeavors can enable global research projects that are unfeasible with traditional research models. MDPI 2020-12-20 /pmc/articles/PMC7767024/ /pubmed/33419380 http://dx.doi.org/10.3390/metabo10120518 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Garayburu-Caruso, Vanessa A.
Danczak, Robert E.
Stegen, James C.
Renteria, Lupita
Mccall, Marcy
Goldman, Amy E.
Chu, Rosalie K.
Toyoda, Jason
Resch, Charles T.
Torgeson, Joshua M.
Wells, Jacqueline
Fansler, Sarah
Kumar, Swatantar
Graham, Emily B.
Using Community Science to Reveal the Global Chemogeography of River Metabolomes
title Using Community Science to Reveal the Global Chemogeography of River Metabolomes
title_full Using Community Science to Reveal the Global Chemogeography of River Metabolomes
title_fullStr Using Community Science to Reveal the Global Chemogeography of River Metabolomes
title_full_unstemmed Using Community Science to Reveal the Global Chemogeography of River Metabolomes
title_short Using Community Science to Reveal the Global Chemogeography of River Metabolomes
title_sort using community science to reveal the global chemogeography of river metabolomes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7767024/
https://www.ncbi.nlm.nih.gov/pubmed/33419380
http://dx.doi.org/10.3390/metabo10120518
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