Evidence map›Paper›PMID 36014071›Full record

ArticleMicroorganisms2022

Soil Metabolomics Predict Microbial Taxa as Biomarkers of Moisture Status in Soils from a Tidal Wetland.

Taniya RoyChowdhury, Lisa M Bramer, Joseph Brown, Young-Mo Kim, Erika Zink, Thomas O Metz, Lee Ann McCue, Heida L Diefenderfer, Vanessa Bailey

Abstract read
In one paragraph

Article in Microorganisms, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Antarctic Soil Metabolomics: A Pilot Study.International journal of molecular sciences · 2023
    Article
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.

Taniya RoyChowdhuryEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA 99352, USA.ORCID 0000-0002-4028-7996
Lisa M BramerEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA 99352, USA.ORCID 0000-0002-8384-1926
Joseph BrownEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
Young-Mo KimEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA 99352, USA.ORCID 0000-0002-8972-7593
Erika ZinkEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
Thomas O MetzEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA 99352, USA.ORCID 0000-0001-6049-3968
Lee Ann McCueEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA 99352, USA.ORCID 0000-0003-4456-517X
Heida L DiefenderferEnergy and Environment Directorate, Pacific Northwest National Laboratory, Sequim, WA 98382, USA.
Vanessa BaileyEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA 99352, USA.

Funding

United States Department of Energy DE-AC05-76RL01830
6 · The paper itself

Abstract

We present observations from a laboratory-controlled study on the impacts of extreme wetting and drying on a wetland soil microbiome. Our approach was to experimentally challenge the soil microbiome to understand impacts on anaerobic carbon cycling processes as the system transitions from dryness to saturation and vice-versa. Specifically, we tested for impacts on stress responses related to shifts from wet to drought conditions. We used a combination of high-resolution data for small organic chemical compounds (metabolites) and biological (community structure based on 16S rRNA gene sequencing) features. Using a robust correlation-independent data approach, we further tested the predictive power of soil metabolites for the presence or absence of taxa. Here, we demonstrate that taking an untargeted, multidimensional data approach to the interpretation of metabolomics has the potential to indicate the causative pathways selecting for the observed bacterial community structure in soils.

Indexed as

16S rRNA generandom forest classificationsoil metabolomicswetland microbiome

Identifiers

PMID36014071
PMCPMC9416152

What OpenQuestion holds

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Registered trials

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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.