Evidence map›Paper›PMID 31484996›Full record

ArticleThe ISME journal2020

The functional repertoire contained within the native microbiota of the model nematode Caenorhabditis elegans.

Johannes Zimmermann, Nancy Obeng, Wentao Yang, Barbara Pees, Carola Petersen, Silvio Waschina, Kohar A Kissoyan, Jack Aidley, Marc P Hoeppner, Boyke Bunk and 5 more

Abstract read
In one paragraph

Article in The ISME journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

64 citing papers in PubMed.

  1. Article
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  11. Article
  12. mSystems · 2025
    Article
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  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. International journal of molecular sciences · 2024
    Review

4 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

15 authors.

Johannes Zimmermann *Research Group Medical Systems Biology, Institute of Experimental Medicine, Christian-Albrechts University, Kiel, Germany.ORCID http://orcid.org/0000-0002-5041-1954
Nancy Obeng *Research Group of Evolutionary Ecology and Genetics, Zoological Institute, Christian-Albrechts University, Kiel, Germany.
Wentao YangResearch Group of Evolutionary Ecology and Genetics, Zoological Institute, Christian-Albrechts University, Kiel, Germany.
Barbara PeesResearch Group of Comparative Immunobiology, Zoological Institute, Christian-Albrechts University, Kiel, Germany.
Carola PetersenResearch Group of Evolutionary Ecology and Genetics, Zoological Institute, Christian-Albrechts University, Kiel, Germany.
Silvio WaschinaResearch Group Medical Systems Biology, Institute of Experimental Medicine, Christian-Albrechts University, Kiel, Germany.
Kohar A KissoyanResearch Group of Evolutionary Ecology and Genetics, Zoological Institute, Christian-Albrechts University, Kiel, Germany.
Jack AidleyResearch Group of Evolutionary Ecology and Genetics, Zoological Institute, Christian-Albrechts University, Kiel, Germany.ORCID http://orcid.org/0000-0003-4168-1503
Marc P HoeppnerInstitute of Clinical Molecular Biology, Christian-Albrechts University, Kiel, Germany.
Boyke BunkLeibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany.
Cathrin SpröerLeibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany.
Matthias LeippeResearch Group of Comparative Immunobiology, Zoological Institute, Christian-Albrechts University, Kiel, Germany.
Katja DierkingResearch Group of Evolutionary Ecology and Genetics, Zoological Institute, Christian-Albrechts University, Kiel, Germany.
Christoph Kaleta *Research Group Medical Systems Biology, Institute of Experimental Medicine, Christian-Albrechts University, Kiel, Germany. c.kaleta@iem.uni-kiel.de.ORCID http://orcid.org/0000-0001-8004-9514
Hinrich Schulenburg *Research Group of Evolutionary Ecology and Genetics, Zoological Institute, Christian-Albrechts University, Kiel, Germany. hschulenburg@zoologie.uni-kiel.de.ORCID http://orcid.org/0000-0002-1413-913X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The microbiota is generally assumed to have a substantial influence on the biology of multicellular organisms. The exact functional contributions of the microbes are often unclear and cannot be inferred easily from 16S rRNA genotyping, which is commonly used for taxonomic characterization of bacterial associates. In order to bridge this knowledge gap, we here analyzed the metabolic competences of the native microbiota of the model nematode Caenorhabditis elegans. We integrated whole-genome sequences of 77 bacterial microbiota members with metabolic modeling and experimental characterization of bacterial physiology. We found that, as a community, the microbiota can synthesize all essential nutrients for C. elegans. Both metabolic models and experimental analyses revealed that nutrient context can influence how bacteria interact within the microbiota. We identified key bacterial traits that are likely to influence the microbe's ability to colonize C. elegans (i.e., the ability of bacteria for pyruvate fermentation to acetoin) and affect nematode fitness (i.e., bacterial competence for hydroxyproline degradation). Considering that the microbiota is usually neglected in C. elegans research, the resource presented here will help our understanding of this nematode's biology in a more natural context. Our integrative approach moreover provides a novel, general framework to characterize microbiota-mediated functions.

Indexed as

MicrobiotaAnimalsBacteriaCaenorhabditis elegansMetabolic Networks and Pathways

Identifiers

PMID31484996
PMCPMC6908608

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.