Evidence map›Paper›PMID 32983014›Full record

ArticleFrontiers in microbiology2020

Development and Analysis of a Stable, Reduced Complexity Model Soil Microbiome.

Ryan McClure, Dan Naylor, Yuliya Farris, Michelle Davison, Sarah J Fansler, Kirsten S Hofmockel, Janet K Jansson

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Embedded Complexity of Evolutionary Sequences.Entropy (Basel, Switzerland) · 2024
    Article
  8. Article
  9. Review
  10. Article
  11. Microbial partner (MiPner) analysis.Frontiers in microbiomes · 2024
    Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
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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 at 2 institutions in 1 country.

Ryan McClureBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Dan NaylorBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Yuliya FarrisBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Michelle DavisonBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Sarah J FanslerBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Kirsten S HofmockelBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Janet K JanssonBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Pacific Northwest National Laboratory · USIowa State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The soil microbiome is central to the cycling of carbon and other nutrients and to the promotion of plant growth. Despite its importance, analysis of the soil microbiome is difficult due to its sheer complexity, with thousands of interacting species. Here, we reduced this complexity by developing model soil microbial consortia that are simpler and more amenable to experimental analysis but still represent important microbial functions of the native soil ecosystem. Samples were collected from an arid grassland soil and microbial communities (consisting mainly of bacterial species) were enriched on agar plates containing chitin as the main carbon source. Chitin was chosen because it is an abundant carbon and nitrogen polymer in soil that often requires the coordinated action of several microorganisms for complete metabolic degradation. Several soil consortia were derived that had tractable richness (30-50 OTUs) with diverse phyla representative of the native soil, including Actinobacteria, Bacteroidetes, Firmicutes, Proteobacteria, and Verrucomicrobia. The resulting consortia could be stored as glycerol or lyophilized stocks at -80°C and revived while retaining community composition, greatly increasing their use as tools for the research community at large. One of the consortia that was particularly stable was chosen as a model soil consortium (MSC-1) for further analysis. MSC-1 species interactions were studied using both pairwise co-cultivation in liquid media and during growth in soil under several perturbations. Co-abundance analyses highlighted interspecies interactions and helped to define keystone species, including Mycobacterium, Rhodococcus, and Rhizobiales taxa. These experiments demonstrate the success of an approach based on naturally enriching a community of interacting species that can be stored, revived, and shared. The knowledge gained from querying these communities and their interactions will enable better understanding of the soil microbiome and the roles these interactions play in this environment.

Indexed as

chitin degradationconsortiamodel microbiomenetworksoil microbiome

Identifiers

PMID32983014
PMCPMC7479069
OpenAlexW3080842815

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.