Evidence map›Paper›PMID 23974023›Full record

ArticleJournal of bacteriology2013

Probing bacterial metabolism during infection using high-resolution transcriptomics.

Peter Jorth, Urvish Trivedi, Kendra Rumbaugh, Marvin Whiteley

Abstract read
In one paragraph

Article in Journal of bacteriology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Large-scale identification of pathogen essential genes during coinfection with sympatric and allopatric microbes.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  8. Small RNA repertoires and their intraspecies variation in Aggregatibacter actinomycetemcomitans.DNA research : an international journal for rapid publication of reports on genes and genomes · 2018
    Article
  9. Oral microbiome and health.AIMS microbiology · 2018
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
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  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Peter JorthSection of Molecular Genetics and Microbiology, Institute of Cell and Molecular Biology, The University of Texas at Austin, Austin, Texas, USA.
Urvish Trivedi
Kendra Rumbaugh
Marvin Whiteley

Funding

Probing Polymicrobial Synergy Using hihg Throughout GenomicsR01DE023193 · NIDCR · UNIVERSITY OF TEXAS AT AUSTIN · PI LAMONT, RICHARD J, WHITELEY, MARVIN · 2013 to 2023
$4.7M
Metabolite sensing in a polymicrobial infectionR01DE020100 · NIDCR · UNIVERSITY OF TEXAS AT AUSTIN · PI WHITELEY, MARVIN · 2011 to 2022
$3.3M
Characterizing regulatory RNAs in oral polymicrobial communityF31DE021633 · NIDCR · UNIVERSITY OF TEXAS AT AUSTIN · PI JORTH, PETER ALLAN · 2011 to 2013
$98k
NIDCR NIH HHS 1R01DE020100NIDCR NIH HHS 5F31DE021633-02NIDCR NIH HHS F31 DE021633NIDCR NIH HHS R01 DE020100NIDCR NIH HHS R01 DE023193
6 · The paper itself

Abstract

A fundamental aspect of most infectious diseases is the need for the invading microbe to proliferate in the host. However, little is known about the metabolic pathways required for pathogenic microbes to colonize and persist in their hosts. In this study, we used RNA sequencing (RNA-seq) to generate a high-resolution transcriptome of the opportunistic pathogen Aggregatibacter actinomycetemcomitans in vivo. We identified 691 A. actinomycetemcomitans transcriptional start sites and 210 noncoding RNAs during growth in vivo and as a biofilm in vitro. Compared to in vitro biofilm growth on a defined medium, ∼14% of the A. actinomycetemcomitans genes were differentially regulated in vivo. A disproportionate number of genes coding for proteins involved in metabolic pathways were differentially regulated in vivo, suggesting that A. actinomycetemcomitans in vivo metabolism is distinct from in vitro growth. Mutational analyses of differentially regulated genes revealed that formate dehydrogenase H and fumarate reductase are important A. actinomycetemcomitans fitness determinants in vivo. These results not only provide a high-resolution genomic analysis of a bacterial pathogen during in vivo growth but also provide new insight into metabolic pathways required for A. actinomycetemcomitans in vivo fitness.

Indexed as

TranscriptomeAbscessAnimalsDisease Models, AnimalGene Expression ProfilingMetabolic Networks and PathwaysMicePasteurellaceaePasteurellaceae InfectionsRNA, UntranslatedSequence Analysis, RNATranscription Initiation SiteRNA, Untranslated

Identifiers

PMID23974023
PMCPMC3811578

What OpenQuestion holds

Textmetadata
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.