Evidence map›Paper›PMID 29312276›Full record

ArticleFrontiers in microbiology2017

Construction of Viable Soil Defined Media Using Quantitative Metabolomics Analysis of Soil Metabolites.

Stefan Jenkins, Tami L Swenson, Rebecca Lau, Andrea M Rocha, Alex Aaring, Terry C Hazen, Romy Chakraborty, Trent R Northen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

20 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Review
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  5. Review
  6. Article
  7. Green microalgaFrontiers in microbiology · 2024
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  17. Ecophysiological Study ofApplied and environmental microbiology · 2020
    Article
  18. Article
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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

8 authors at 4 institutions in 1 country.

Stefan JenkinsEnvironmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
Tami L SwensonEnvironmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
Rebecca LauEnvironmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
Andrea M RochaBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States.
Alex AaringEarth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
Terry C HazenBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States.
Romy ChakrabortyEarth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
Trent R NorthenEnvironmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
Lawrence Berkeley National Laboratory · USGeosyntec Consultants (United States) · USJoint Genome Institute · USOak Ridge National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exometabolomics enables analysis of metabolite utilization of low molecular weight organic substances by soil bacteria. Environmentally-based defined media are needed to examine ecologically relevant patterns of substrate utilization. Here, we describe an approach for the construction of defined media using untargeted characterization of water soluble soil microbial metabolites from a saprolite soil collected from the Oak Ridge Field Research Center (ORFRC). To broadly characterize metabolites, both liquid chromatography mass spectrometry (LC/MS) and gas chromatography mass spectrometry (GC/MS) were used. With this approach, 96 metabolites were identified, including amino acids, amino acid derivatives, sugars, sugar alcohols, mono- and di-carboxylic acids, nucleobases, and nucleosides. From this pool of metabolites, 25 were quantified. Molecular weight cut-off filtration determined the fraction of carbon accounted for by the quantified metabolites and revealed that these soil metabolites have an uneven quantitative distribution (e.g., trehalose accounted for 9.9% of the <1 kDa fraction). This quantitative information was used to formulate two soil defined media (SDM), one containing 23 metabolites (SDM1) and one containing 46 (SDM2). To evaluate the viability of the SDM, we examined the growth of 30 phylogenetically diverse soil bacterial isolates from the ORFRC field site. The simpler SDM1 supported the growth of 13 isolates while the more complex SDM2 supported 15 isolates. To investigate SDM1 substrate preferences, one isolate,

Indexed as

exometabolomicsgas chromatography/mass spectrometryliquid chromatography/mass spectrometrysoil defined mediawater extractable organic carbon

Identifiers

PMID29312276
PMCPMC5744445
OpenAlexW2777232799

What OpenQuestion holds

Textmetadata
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.