Evidence map›Paper›PMID 29296020›Full record

ArticleNature communications2018

Linking soil biology and chemistry in biological soil crust using isolate exometabolomics.

Tami L Swenson, Ulas Karaoz, Joel M Swenson, Benjamin P Bowen, Trent R Northen

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

63 citing papers in PubMed.

  1. Article
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  5. Review
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  11. Overcoming toxicity: How nonantagonistic microbes manage to thrive in boom-and-bust environments.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Nutrient and moisture limitations reveal keystone metabolites linking rhizosphere metabolomes and microbiomes.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Biogeographic patterns and drivers of soil viromes.Nature ecology & evolution · 2024
    Article
  18. Review
  19. Article
  20. Article

3 more citing papers are in PubMed but not listed here.

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

5 authors.

Tami L SwensonEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, 94720, USA.ORCID http://orcid.org/0000-0002-9488-7970
Ulas KaraozClimate and Ecosystems Sciences Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, 94720, USA.ORCID http://orcid.org/0000-0002-8238-6757
Joel M SwensonBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, 94720, USA.
Benjamin P BowenEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, 94720, USA.
Trent R NorthenEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA, 94720, USA. TRNorthen@lbl.gov.

Funding

Pacific Biosciences PacBio RS Single Molecule Real Time SequencerS10OD018174 · OD · UNIVERSITY OF CALIFORNIA BERKELEY · PI ROKHSAR, DANIEL SOLEYMAN · 2014 to 2014
$600k
NIH HHS S10 OD018174
6 · The paper itself

Abstract

Metagenomic sequencing provides a window into microbial community structure and metabolic potential; however, linking these data to exogenous metabolites that microorganisms process and produce (the exometabolome) remains challenging. Previously, we observed strong exometabolite niche partitioning among bacterial isolates from biological soil crust (biocrust). Here we examine native biocrust to determine if these patterns are reproduced in the environment. Overall, most soil metabolites display the expected relationship (positive or negative correlation) with four dominant bacteria following a wetting event and across biocrust developmental stages. For metabolites that were previously found to be consumed by an isolate, 70% are negatively correlated with the abundance of the isolate's closest matching environmental relative in situ, whereas for released metabolites, 67% were positively correlated. Our results demonstrate that metabolite profiling, shotgun sequencing and exometabolomics may be successfully integrated to functionally link microbial community structure with environmental chemistry in biocrust.

Indexed as

EcosystemSoil MicrobiologyBacteriaBacterial ProteinsBiomassMetabolomicsMetagenomePopulation DynamicsSequence Analysis, DNASoilBacterial ProteinsSoil

Identifiers

PMID29296020
PMCPMC5750228

What OpenQuestion holds

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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.