Evidence map›Paper›PMID 42406629›Full record

ArticleNucleic acids research2026

Translation accuracy in E. coli.

Ryan Stikeleather, Farhan Ali, Wei-Chin Ho, Tim Licknack, Michael Lynch

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Ryan StikeleatherBiodesign Center for Mechanisms of Evolution, Arizona State University, S McAllister Ave., Tempe, AZ 85281, United States.ORCID 0000-0002-5471-862X
Farhan AliBiodesign Center for Mechanisms of Evolution, Arizona State University, S McAllister Ave., Tempe, AZ 85281, United States.ORCID 0000-0002-4945-2978
Wei-Chin HoBiodesign Center for Mechanisms of Evolution, Arizona State University, S McAllister Ave., Tempe, AZ 85281, United States.
Tim LicknackBiodesign Center for Mechanisms of Evolution, Arizona State University, S McAllister Ave., Tempe, AZ 85281, United States.
Michael LynchBiodesign Center for Mechanisms of Evolution, Arizona State University, S McAllister Ave., Tempe, AZ 85281, United States.

Funding

National Science Foundation DBI-2119963NIH HHS 2R35GM122566
6 · The paper itself

Abstract

Translation is a fundamental process of life, yet methods to systematically investigate its fidelity have been limited. Most previous estimates of translation-error rates have relied on reporter assays that evaluate only a single codon and fail to capture the full spectrum of translation errors. Here, we present a proteome-wide analysis of mass spectrometry data that directly estimates nearly all pairwise amino-acid substitution rates, revealing mistranslation rates and spectra per amino acid and per codon. Applying this method to ribosomal variants of Escherichia coli reported to differ in translation fidelity, we found no significant differences among their overall error rates, estimated here at 2 per 1000 amino acids. Instead, each variant exhibited unique mistranslation profiles; the putative error-prone variant preferentially misread near-cognate codons at the third position, with a bias that likely led to prior overestimates of its error rate. We also tested the translational-accuracy hypothesis of codon usage, which predicts that codons enriched in highly expressed genes are selected for translational accuracy. Contrary to that prediction, codons favored in highly expressed genes are not translated more accurately. These results underscore the necessity of proteome-wide measures of translation accuracy and highlight the limitations of single-codon approaches for characterizing translation fidelity.

Indexed as

Escherichia coliProtein BiosynthesisAmino Acid SubstitutionCodonCodon UsageEscherichia coli ProteinsMass SpectrometryProteomeRibosomesCodonEscherichia coli ProteinsProteome

Identifiers

PMID42406629
PMCPMC13335486

What Socratic 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 Socratic graph.