ArticlemBio2017
A Numbers Game: Ribosome Densities, Bacterial Growth, and Antibiotic-Mediated Stasis and Death.
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.
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.
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.
Who cites it
42 citing papers in PubMed, 71 citations in OpenAlex.
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- Phenyllactic Acid as a Marker of Antibiotic-Induced Metabolic Activity of Nosocomial Strains ofMicroorganisms · 2025Article
- Phenotype-Specific Semi-Mechanistic Modelling of Florfenicol Time-Kill Curves in G. Parasuis Compared to Other Respiratory Pathogens.Journal of veterinary pharmacology and therapeutics · 2025Article
- Yersinia pseudotuberculosis growth arrest during type-III secretion system expression is associated with altered ribosomal protein expression and decreased gentamicin susceptibility.PLoS pathogens · 2025Article
- The evolution of heteroresistance via small colony variants in Escherichia coli following long term exposure to bacteriostatic antibiotics.Nature communications · 2024Article
- The Evolution of Heteroresistance via Small Colony Variants inbioRxiv : the preprint server for biology · 2024Article
- Bactericidal effect of tetracycline in E. coli strain ED1a may be associated with ribosome dysfunction.Nature communications · 2024Article
- The distinct cell physiology of Bradyrhizobium at the population and cellular level.BMC microbiology · 2024Article
- Fluorescent reporters give new insights into antibiotics-induced nonsense and frameshift mistranslation.Scientific reports · 2024Article
- Tradeoffs in bacterial physiology determine the efficiency of antibiotic killing.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Ribosome-binding antibiotics increase bacterial longevity and growth efficiency.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- ResR/McdR-regulated protein translation machinery contributes to drug resilience in Mycobacterium tuberculosis.Communications biology · 2023Article
- The selection of copiotrophs may complicate biodiversity-ecosystem functioning relationships in microbial dilution-to-extinction experiments.Environmental microbiome · 2023Article
- Serine-threonine phosphoregulation by PknB and Stp contributes to quiescence and antibiotic tolerance inScience signaling · 2023Article
- Teicoplanin associated geneFrontiers in microbiology · 2023Article
- Growth rate-associated transcriptome reorganization in response to genomic, environmental, and evolutionary interruptions.Frontiers in microbiology · 2023Article
- Conjugates of Chloramphenicol Amine and Berberine as Antimicrobial Agents.Antibiotics (Basel, Switzerland) · 2022Article
- Decontamination of Two Umbilical Cord Blood Grafts Prior to Autologous Administration.Maedica · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
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.
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Registered trials
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.