Evidence map›Paper›PMID 15553093›Full record

ArticleJournal of molecular evolution2004

Selection on codon usage for error minimization at the protein level.

Marco Archetti

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of molecular evolution, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

22 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
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  7. Decoding mechanisms by which silent codon changes influence protein biogenesis and function.The international journal of biochemistry & cell biology · 2015
    Review
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  15. Review
  16. Differential selective constraints shaping codon usage pattern of housekeeping and tissue-specific homologous genes of rice and arabidopsis.DNA research : an international journal for rapid publication of reports on genes and genomes · 2008
    Article
  17. The tri-frame model.Journal of theoretical biology · 2008
    Article
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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

1 author at 1 institution in 1 country.

Marco ArchettiDépartement de Biologie, Section Ecologie et Evolution, Université de Fribourg, Chemin du Musée 10, 1700, Fribourg, Switzerland. marco.archetti@unifr.ch
University of Fribourg · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the structure of the genetic code, synonymous codons differ in their capacity to minimize the effects of errors due to mutation or mistranslation. I suggest that this may lead, in protein-coding genes, to a preference for codons that minimize the impact of errors at the protein level. I develop a theoretical measure of error minimization for each codon, based on amino acid similarity. This measure is used to calculate the degree of error minimization for 82 genes of Drosophila melanogaster and 432 rodent genes and to study its relationship with CG content, the degree of codon usage bias, and the rate of nucleotide substitution. I show that (i) Drosophila and rodent genes tend to prefer codons that minimize errors; (ii) this cannot be merely the effect of mutation bias; (iii) the degree of error minimization is correlated with the degree of codon usage bias; (iv) the amino acids that contribute more to codon usage bias are the ones for which synonymous codons differ more in the capacity to minimize errors; and (v) the degree of error minimization is correlated with the rate of nonsynonymous substitution. These results suggest that natural selection for error minimization at the protein level plays a role in the evolution of coding sequences in Drosophila and rodents.

Indexed as

Models, GeneticSelection, GeneticAmino AcidsAnimalsBase CompositionCodonDrosophila melanogasterEvolution, MolecularGenetic CodeMutationProteinsRodentiaAmino AcidsCodonProteins

Identifiers

PMID15553093
OpenAlexW2059075567

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.