Evidence map›Paper›PMID 22479199›Full record

ArticlePLoS genetics2012

Balanced codon usage optimizes eukaryotic translational efficiency.

Wenfeng Qian, Jian-Rong Yang, Nathaniel M Pearson, Calum Maclean, Jianzhi Zhang

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 194 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
194citing papers in PubMed, 1 pooled it
14.2field-weighted citation impact, top 1% 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

194 citing papers in PubMed, 1 synthesis or guideline pooled it, 325 citations in OpenAlex.

  1. Pooled it
  2. TRMT1-mediated tRNA mCell death & disease · 2026
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  3. Mitochondrial Genome ofAnimals : an open access journal from MDPI · 2026
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  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. A primer on tRNAs, tRNA-mFrontiers in cell and developmental biology · 2025
    Review
  17. Article
  18. Article
  19. Article
  20. mRNA-based therapeutic strategies for cancer treatment.Molecular therapy : the journal of the American Society of Gene Therapy · 2024
    Review

134 more citing papers are in PubMed but not listed here.

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

5 authors at 3 institutions in 2 countries.

Wenfeng QianDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, United States of America.
Jian-Rong Yang
Nathaniel M Pearson
Calum Maclean
Jianzhi Zhang
Michigan United · USSun Yat-sen University · CNUniversity of Michigan–Ann Arbor · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular efficiency in protein translation is an important fitness determinant in rapidly growing organisms. It is widely believed that synonymous codons are translated with unequal speeds and that translational efficiency is maximized by the exclusive use of rapidly translated codons. Here we estimate the in vivo translational speeds of all sense codons from the budding yeast Saccharomyces cerevisiae. Surprisingly, preferentially used codons are not translated faster than unpreferred ones. We hypothesize that this phenomenon is a result of codon usage in proportion to cognate tRNA concentrations, the optimal strategy in enhancing translational efficiency under tRNA shortage. Our predicted codon-tRNA balance is indeed observed from all model eukaryotes examined, and its impact on translational efficiency is further validated experimentally. Our study reveals a previously unsuspected mechanism by which unequal codon usage increases translational efficiency, demonstrates widespread natural selection for translational efficiency, and offers new strategies to improve synthetic biology.

Indexed as

CodonEvolution, MolecularProtein BiosynthesisSaccharomyces cerevisiaeAmino AcidsAnimalsArabidopsisEscherichia coliHumansModels, TheoreticalRNA, TransferSynthetic BiologyTranscriptomeAmino AcidsCodonRNA, Transfer

Identifiers

PMID22479199
PMCPMC3315465
OpenAlexW1974394989

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.