Evidence map›Paper›PMID 28174311›Full record

ArticlemBio2017

A Numbers Game: Ribosome Densities, Bacterial Growth, and Antibiotic-Mediated Stasis and Death.

Bruce R Levin, Ingrid C McCall, Véronique Perrot, Howard Weiss, Armen Ovesepian, Fernando Baquero

Open access · goldAbstract read
In one paragraph

Article in mBio, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 71 citations in OpenAlex.

  1. Article
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  3. Review
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  8. The Evolution of Heteroresistance via Small Colony Variants inbioRxiv : the preprint server for biology · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Tradeoffs in bacterial physiology determine the efficiency of antibiotic killing.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  13. Ribosome-binding antibiotics increase bacterial longevity and growth efficiency.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Teicoplanin associated geneFrontiers in microbiology · 2023
    Article
  18. 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

6 authors at 4 institutions in 3 countries.

Bruce R LevinDepartment of Biology, Emory University, Atlanta, Georgia, USA blevin@emory.edu.
Ingrid C McCallDepartment of Biology, Emory University, Atlanta, Georgia, USA.
Véronique PerrotDepartment of Biology, Emory University, Atlanta, Georgia, USA.
Howard WeissDepartment of Mathematics, Georgia Institute of Technology, Atlanta, Georgia, USA.
Armen OvesepianDepartment of Veterinary Disease Biology, University of Copenhagen, Copenhagen, Denmark.
Fernando BaqueroRamón y Cajal Institute for Health Research (IRYCIS), Ramón y Cajal University Hospital, CIBERESP, Madrid, Spain.
Emory University · USGeorgia Institute of Technology · USInstituto Cajal · ESUniversity of Copenhagen · DK

Funding

Theoretical and experimental strudy of the population and evolutionary dynamics oR01GM091875 · NIGMS · EMORY UNIVERSITY · PI LEVIN, BRUCE RICHARD · 2009 to 2017
$2.5M
NIGMS NIH HHS R01 GM091875
6 · The paper itself

Abstract

We postulate that the inhibition of growth and low rates of mortality of bacteria exposed to ribosome-binding antibiotics deemed bacteriostatic can be attributed almost uniquely to these drugs reducing the number of ribosomes contributing to protein synthesis, i.e., the number of effective ribosomes. We tested this hypothesis with Escherichia coli K-12 MG1655 and constructs that had been deleted for 1 to 6 of the 7 rRNA (rrn) operons. In the absence of antibiotics, constructs with fewer rrn operons have lower maximum growth rates and longer lag phases than those with more ribosomal operons. In the presence of the ribosome-binding "bacteriostatic" antibiotics tetracycline, chloramphenicol, and azithromycin, E. coli strains with 1 and 2 rrn operons are killed at a substantially higher rate than those with more rrn operons. This increase in the susceptibility of E. coli with fewer rrn operons to killing by ribosome-targeting bacteriostatic antibiotics is not reflected in their greater sensitivity to killing by the bactericidal antibiotic ciprofloxacin, which does not target ribosomes, but also to killing by gentamicin, which does. Finally, when such strains are exposed to these ribosome-targeting bacteriostatic antibiotics, the time before these bacteria start to grow again when the drugs are removed, referred to as the post-antibiotic effect (PAE), is markedly greater for constructs with fewer rrn operons than for those with more rrn operons. We interpret the results of these other experiments reported here as support for the hypothesis that the reduction in the effective number of ribosomes due to binding to these structures provides a sufficient explanation for the action of bacteriostatic antibiotics that target these structures. IMPORTANCE: Chemotherapeutic agents, including antibiotics, have been used for more than a century; nevertheless, there are still major gaps in our understanding of how these drugs operate which limit future advances in antibacterial chemotherapy. Although the molecular mechanisms by which antibiotics bind to their target structures are largely known, fundamental questions about how these drugs actually kill and/or inhibit the replication of bacteria remain unanswered and subjects of controversy. We postulate that for the broad class of ribosome-binding bacteriostatic antibiotics, their reducing the number of active (functional) ribosomes per cell provides a sufficient explanation for the abatement of replication and the low rate of decline in densities of viable cells of bacteria exposed to these drugs. Using E. coli K-12 constructs with deletions of from one to six of the seven ribosome-RNA operons and the ribosome-binding bacteriostatic antibiotics tetracycline, chloramphenicol, and azithromycin, we tested this hypothesis. The results of our experiments are consistent with this "numbers game" hypothesis.

Indexed as

Anti-Bacterial AgentsEscherichia coli K12Microbial ViabilityProtein BiosynthesisRibosomesAnti-Bacterial Agents

Identifiers

PMID28174311
PMCPMC5296603
OpenAlexW2587727933

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.