Evidence map›Paper›PMID 26884158›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Conserved rates and patterns of transcription errors across bacterial growth states and lifestyles.

Charles C Traverse, Howard Ochman

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
6.3field-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

38 citing papers in PubMed, 80 citations in OpenAlex.

  1. Article
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  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Phenotypic mutations contribute to protein diversity and shape protein evolution.Protein science : a publication of the Protein Society · 2022
    Review
  13. Article
  14. Pervasive sequence-level variation in the transcriptome ofNAR genomics and bioinformatics · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Trends in Symbiont-Induced Host Cellular Differentiation.Results and problems in cell differentiation · 2020
    Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Charles C TraverseDepartment of Integrative Biology, University of Texas, Austin, TX 78712.
Howard OchmanDepartment of Integrative Biology, University of Texas, Austin, TX 78712 howard.ochman@austin.utexas.edu.
The University of Texas at Austin · US

Funding

Elucidating the Evolution of Microbial Genes, Genomes and CommunitiesR35GM118038 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI OCHMAN, HOWARD · 2016 to 2025
$4.0M
Elucidating a newly discovered selective agent operating in bacterial genomesR01GM108657 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI OCHMAN, HOWARD · 2014 to 2016
$824k
NIGMS NIH HHS R01 GM108657NIGMS NIH HHS R01GM108657NIGMS NIH HHS R35 GM118038
6 · The paper itself

Abstract

Errors that occur during transcription have received much less attention than the mutations that occur in DNA because transcription errors are not heritable and usually result in a very limited number of altered proteins. However, transcription error rates are typically several orders of magnitude higher than the mutation rate. Also, individual transcripts can be translated multiple times, so a single error can have substantial effects on the pool of proteins. Transcription errors can also contribute to cellular noise, thereby influencing cell survival under stressful conditions, such as starvation or antibiotic stress. Implementing a method that captures transcription errors genome-wide, we measured the rates and spectra of transcription errors in Escherichia coli and in endosymbionts for which mutation and/or substitution rates are greatly elevated over those of E. coli Under all tested conditions, across all species, and even for different categories of RNA sequences (mRNA and rRNAs), there were no significant differences in rates of transcription errors, which ranged from 2.3 × 10(-5) per nucleotide in mRNA of the endosymbiont Buchnera aphidicola to 5.2 × 10(-5) per nucleotide in rRNA of the endosymbiont Carsonella ruddii The similarity of transcription error rates in these bacterial endosymbionts to that in E. coli (4.63 × 10(-5) per nucleotide) is all the more surprising given that genomic erosion has resulted in the loss of transcription fidelity factors in both Buchnera and Carsonella.

Indexed as

Transcription, GeneticEscherichia coliEscherichia coli ProteinsGenes, BacterialSymbiosisEscherichia coli Proteinsbase substitutionsRNA polymerase fidelitytranscription errors

Identifiers

PMID26884158
PMCPMC4812759
OpenAlexW2284400323

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.