Evidence map›Paper›PMID 12495519›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2002

No accident: genetic codes freeze in error-correcting patterns of the standard genetic code.

David H Ardell, Guy Sella

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. CMCpy: Genetic Code-Message Coevolution Models in Python.Evolutionary bioinformatics online · 2013
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  6. Article
  7. Review
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  11. Article
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  13. Review
  14. Collective evolution and the genetic code.Proceedings of the National Academy of Sciences of the United States of America · 2006
    Article
  15. Article
  16. Article
  17. A new classification scheme of the genetic code.Journal of molecular evolution · 2004
    Article
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

2 authors.

David H ArdellDepartment of Biological Sciences, Stanford University, Stanford, CA 94305-5020, USA. dave.ardell@ebc.uu.se
Guy Sella

Funding

POPULATION GENETICS THEORYR01GM028016 · NIGMS · STANFORD UNIVERSITY · PI FELDMAN, MARCUS W · 1985 to 2010
$2.5M
NIGMS NIH HHS GM28016NIGMS NIH HHS GM 28438
6 · The paper itself

Abstract

The standard genetic code poses a challenge in understanding the evolution of information processing at a fundamental level of biological organization. Genetic codes are generally coadapted with, or 'frozen' by, the protein-coding genes that they translate, and so cannot easily change by natural selection. Yet the standard code has a significantly non-random pattern that corrects common errors in the transmission of information in protein-coding genes. Because of the freezing effect and for other reasons, this pattern has been proposed not to be due to selection but rather to be incidental to other evolutionary forces or even entirely accidental. We present results from a deterministic population genetic model of code-message coevolution. We explicitly represent the freezing effect of genes on genetic codes and the perturbative effect of changes in genetic codes on genes. We incorporate characteristic patterns of mutation and translational error, namely, transition bias and positional asymmetry, respectively. Repeated selection over small successive changes produces genetic codes that are substantially, but not optimally, error correcting. In particular, our model reproduces the error-correcting patterns of the standard genetic code. Aspects of our model and results may be applicable to the general problem of adaptation to error in other natural information-processing systems.

Indexed as

Evolution, MolecularModels, GeneticProtein BiosynthesisAnimalsCodonGenetic CodeMutagenesisSelection, GeneticCodon

Identifiers

PMID12495519
PMCPMC1693064

What OpenQuestion holds

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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.