Evidence map›Paper›PMID 35126334›Full record

ArticleFrontiers in microbiology2021

Microbial Communities Influence Soil Dissolved Organic Carbon Concentration by Altering Metabolite Composition.

Tayte P Campbell, Danielle E M Ulrich, Jason Toyoda, Jaron Thompson, Brian Munsky, Michaeline B N Albright, Vanessa L Bailey, Malak M Tfaily, John Dunbar

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
8.3field-weighted citation impact, top 2% of its field
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

9 citing papers in PubMed, 57 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Tayte P CampbellBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Danielle E M UlrichBioscience Division, Los Alamos National Laboratory, Los Alamos, NM, United States.
Jason ToyodaEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, United States.
Jaron ThompsonDepartment of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO, United States.
Brian MunskyDepartment of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO, United States.
Michaeline B N AlbrightBioscience Division, Los Alamos National Laboratory, Los Alamos, NM, United States.
Vanessa L BaileyBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Malak M TfailyDepartment of Environmental Science, The University of Arizona, Tucson, AZ, United States.
John DunbarBioscience Division, Los Alamos National Laboratory, Los Alamos, NM, United States.
Los Alamos National Laboratory · USPacific Northwest National Laboratory · USColorado State University · USUniversity of Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid microbial growth in the early phase of plant litter decomposition is viewed as an important component of soil organic matter (SOM) formation. However, the microbial taxa and chemical substrates that correlate with carbon storage are not well resolved. The complexity of microbial communities and diverse substrate chemistries that occur in natural soils make it difficult to identify links between community membership and decomposition processes in the soil environment. To identify potential relationships between microbes, soil organic matter, and their impact on carbon storage, we used sand microcosms to control for external environmental factors such as changes in temperature and moisture as well as the variability in available carbon that exist in soil cores. Using Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) on microcosm samples from early phase litter decomposition, we found that protein- and tannin-like compounds exhibited the strongest correlation to dissolved organic carbon (DOC) concentration. Proteins correlated positively with DOC concentration, while tannins correlated negatively with DOC. Through random forest, neural network, and indicator species analyses, we identified 42 bacterial and 9 fungal taxa associated with DOC concentration. The majority of bacterial taxa (26 out of 42 taxa) belonged to the phylum Proteobacteria while all fungal taxa belonged to the phylum Ascomycota. Additionally, we identified significant connections between microorganisms and protein-like compounds and found that most taxa (12/14) correlated negatively with proteins indicating that microbial consumption of proteins is likely a significant driver of DOC concentration. This research links DOC concentration with microbial production and/or decomposition of specific metabolites to improve our understanding of microbial metabolism and carbon persistence.

Indexed as

bacteriaDOCFTICR mass spectrometryfungimetabolitesmicrobial communities

Identifiers

PMID35126334
PMCPMC8811196
OpenAlexW4206808079

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.