Evidence map›Paper›PMID 32636252›Full record

ArticlemBio2020

Deconstructing the Soil Microbiome into Reduced-Complexity Functional Modules.

Dan Naylor, Sarah Fansler, Colin Brislawn, William C Nelson, Kirsten S Hofmockel, Janet K Jansson, Ryan McClure

Abstract read
In one paragraph

Article in mBio, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 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

7 authors.

Dan NaylorEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA.ORCID 0000-0002-6873-8349
Sarah FanslerEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA.
Colin BrislawnEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA.
William C NelsonEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA.ORCID 0000-0002-1873-3929
Kirsten S HofmockelEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA.
Janet K JanssonEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA.ORCID 0000-0002-5487-4315
Ryan McClureEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA Ryan.Mcclure@pnnl.gov.ORCID 0000-0003-0573-6917

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The soil microbiome represents one of the most complex microbial communities on the planet, encompassing thousands of taxa and metabolic pathways, rendering holistic analyses computationally intensive and difficult. Here, we developed an alternative approach in which the complex soil microbiome was broken into components ("functional modules"), based on metabolic capacities, for individual characterization. We hypothesized that reproducible, low-complexity communities that represent functional modules could be obtained through targeted enrichments and that, in combination, they would encompass a large extent of the soil microbiome diversity. Enrichments were performed on a starting soil inoculum with defined media based on specific carbon substrates, antibiotics, alternative electron acceptors under anaerobic conditions, or alternative growing conditions reflective of common field stresses. The resultant communities were evaluated through 16S rRNA amplicon sequencing. Less permissive modules (anaerobic conditions, complex polysaccharides, and certain stresses) resulted in more distinct community profiles with higher richness and more variability between replicates, whereas modules with simple substrates were dominated by fewer species and were more reproducible. Collectively, approximately 27% of unique taxa present in the liquid soil extract control were found across functional modules. Taxa that were underrepresented or undetected in the source soil were also enriched across the modules. Metatranscriptomic analyses were carried out on a subset of the modules to investigate differences in functional gene expression. These results demonstrate that by dissecting the soil microbiome into discrete components it is possible to obtain a more comprehensive view of the soil microbiome and its biochemical potential than would be possible using more holistic analyses.

Indexed as

Metabolic Networks and PathwaysMetagenomeMicrobiotaSoil MicrobiologyBacteriaGene Expression ProfilingGenetic VariationPhylogenyRNA, Ribosomal, 16SRNA, Ribosomal, 16Sfunctional modulesmicrobiomereduced complexitysoil metatranscriptomesoil microbiome

Identifiers

PMID32636252
PMCPMC7343995

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.