Evidence map›Paper›PMID 32678091›Full record

ArticleNature communications2020

A high-resolution transcriptome map identifies small RNA regulation of metabolism in the gut microbe Bacteroides thetaiotaomicron.

Daniel Ryan, Laura Jenniches, Sarah Reichardt, Lars Barquist, Alexander J Westermann

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Veterinary sciences · 2026
    Article
  9. Degradation of mucinbioRxiv : the preprint server for biology · 2026
    Article
  10. Article
  11. Article
  12. Gene regulation inMicrobiology and molecular biology reviews : MMBR · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Rfam 15: RNA families database in 2025.Nucleic acids research · 2025
    Article
  19. Article
  20. Article
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.

Daniel RyanHelmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), Würzburg, Germany.
Laura JennichesHelmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), Würzburg, Germany.
Sarah ReichardtHelmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), Würzburg, Germany.
Lars BarquistHelmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), Würzburg, Germany.ORCID http://orcid.org/0000-0003-4732-2667
Alexander J WestermannHelmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), Würzburg, Germany. alexander.westermann@uni-wuerzburg.de.ORCID http://orcid.org/0000-0003-3236-0169

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteria of the genus Bacteroides are common members of the human intestinal microbiota and important degraders of polysaccharides in the gut. Among them, the species Bacteroides thetaiotaomicron has emerged as the model organism for functional microbiota research. Here, we use differential RNA sequencing (dRNA-seq) to generate a single-nucleotide resolution transcriptome map of B. thetaiotaomicron grown under defined laboratory conditions. An online browser, called 'Theta-Base' ( www.helmholtz-hiri.de/en/datasets/bacteroides ), is launched to interrogate the obtained gene expression data and annotations of ~4500 transcription start sites, untranslated regions, operon structures, and 269 noncoding RNA elements. Among the latter is GibS, a conserved, 145 nt-long small RNA that is highly expressed in the presence of N-acetyl-D-glucosamine as sole carbon source. We use computational predictions and experimental data to determine the secondary structure of GibS and identify its target genes. Our results indicate that sensing of N-acetyl-D-glucosamine induces GibS expression, which in turn modifies the transcript levels of metabolic enzymes.

Indexed as

Gastrointestinal MicrobiomeTranscriptomeAcetylglucosamineBacterial ProteinsBacteroides thetaiotaomicronCulture MediaGene Expression Regulation, BacterialHumansNucleic Acid ConformationPromoter Regions, GeneticReproducibility of ResultsRNA, BacterialRNA, Small UntranslatedRNA, UntranslatedWeb BrowserAcetylglucosamineBacterial ProteinsCulture MediaRNA, BacterialRNA, Small UntranslatedRNA, Untranslated

Identifiers

PMID32678091
PMCPMC7366714

What OpenQuestion holds

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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.