Evidence map›Paper›PMID 33419380›Full record

ArticleMetabolites2020

Using Community Science to Reveal the Global Chemogeography of River Metabolomes.

Vanessa A Garayburu-Caruso, Robert E Danczak, James C Stegen, Lupita Renteria, Marcy Mccall, Amy E Goldman, Rosalie K Chu, Jason Toyoda, Charles T Resch, Joshua M Torgeson and 4 more

Abstract read
In one paragraph

Article in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Vanessa A Garayburu-CarusoPacific Northwest National Laboratory, Richland, WA 99352, USA.ORCID 0000-0003-3383-6237
Robert E DanczakPacific Northwest National Laboratory, Richland, WA 99352, USA.
James C StegenPacific Northwest National Laboratory, Richland, WA 99352, USA.ORCID 0000-0001-9135-7424
Lupita RenteriaPacific Northwest National Laboratory, Richland, WA 99352, USA.ORCID 0000-0001-5035-5924
Marcy MccallPacific Northwest National Laboratory, Richland, WA 99352, USA.
Amy E GoldmanPacific Northwest National Laboratory, Richland, WA 99352, USA.ORCID 0000-0003-0490-6451
Rosalie K ChuEnvironmental Molecular Sciences Laboratory, Richland, WA 99352, USA.
Jason ToyodaEnvironmental Molecular Sciences Laboratory, Richland, WA 99352, USA.
Charles T ReschPacific Northwest National Laboratory, Richland, WA 99352, USA.
Joshua M TorgesonPacific Northwest National Laboratory, Richland, WA 99352, USA.
Jacqueline WellsSchool of Chemical, Biological, and Environmental Engineering, Oregon State University, Corvallis, OR 97331, USA.ORCID 0000-0001-7043-278X
Sarah FanslerPacific Northwest National Laboratory, Richland, WA 99352, USA.ORCID 0000-0003-4190-907X
Swatantar KumarPacific Northwest National Laboratory, Richland, WA 99352, USA.
Emily B GrahamPacific Northwest National Laboratory, Richland, WA 99352, USA.ORCID 0000-0002-4623-7076

Funding

U.S. Department of Energy (DOE), Office of Biological and Environmental Research (BER) Subsurface Biogeochemical Research Program's Scientific Focus Area (SFA) at the Pacific Northwest National Laboratory (PNNL).
6 · The paper itself

Abstract

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.

Indexed as

carbon characterCONUSdissolved organic matterenvironmental metabolomicsriver corridorsediment organic matterWHONDRS

Identifiers

PMID33419380
PMCPMC7767024

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.