Evidence map›Paper›PMID 16838217›Full record

ReviewJournal of molecular evolution2006

The coevolution of genes and genetic codes: Crick's frozen accident revisited.

Guy Sella, David H Ardell

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of molecular evolution, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

28 citing papers in PubMed, 79 citations in OpenAlex.

  1. Article
  2. Order of amino acid recruitment into the genetic code resolved by last universal common ancestor's protein domains.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  3. Article
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  5. Self-similarity and the maximum entropy principle in the genetic code.Theory in biosciences = Theorie in den Biowissenschaften · 2023
    Article
  6. Article
  7. Article
  8. Fitting the standard genetic code into its triplet table.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The genetic code. Rewritten, revised, repurposed.Artificial DNA, PNA & XNA · 2014
    Article
  14. Revisiting the physico-chemical hypothesis of code origin: an analysis based on code-sequence coevolution in a finite population.Origins of life and evolution of the biosphere : the journal of the International Society for the Study of the Origin of Life · 2013
    Article
  15. Article
  16. Article
  17. CMCpy: Genetic Code-Message Coevolution Models in Python.Evolutionary bioinformatics online · 2013
    Article
  18. Article
  19. Article
  20. 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 at 2 institutions in 2 countries.

Guy SellaCenter for the Study of Rationality, The Hebrew University, Givat Ram, 91904, Jerusalem, Israel. gsella@math.huji.ac.il
David H Ardell
Hebrew University of Jerusalem · ILUppsala University · SE

Funding

VARIATIONS OF HUMAN DNA SEQUENCESP01GM028428 · NIGMS · STANFORD UNIVERSITY · PI CAVALLI-SFORZA, LUIGI L · 1985 to 2004
$6.8M
POPULATION GENETICS THEORYR01GM028016 · NIGMS · STANFORD UNIVERSITY · PI FELDMAN, MARCUS W · 1985 to 2010
$2.5M
NIGMS NIH HHS GM28016NIGMS NIH HHS GM28428
6 · The paper itself

Abstract

The standard genetic code is the nearly universal system for the translation of genes into proteins. The code exhibits two salient structural characteristics: it possesses a distinct organization that makes it extremely robust to errors in replication and translation, and it is highly redundant. The origin of these properties has intrigued researchers since the code was first discovered. One suggestion, which is the subject of this review, is that the code's organization is the outcome of the coevolution of genes and genetic codes. In 1968, Francis Crick explored the possible implications of coevolution at different stages of code evolution. Although he argues that coevolution was likely to influence the evolution of the code, he concludes that it falls short of explaining the organization of the code we see today. The recent application of mathematical modeling to study the effects of errors on the course of coevolution, suggests a different conclusion. It shows that coevolution readily generates genetic codes that are highly redundant and similar in their error-correcting organization to the standard code. We review this recent work and suggest that further affirmation of the role of coevolution can be attained by investigating the extent to which the outcome of coevolution is robust to other influences that were present during the evolution of the code.

Indexed as

Evolution, MolecularGenetic CodeAnimalsGenesHumansModels, BiologicalModels, Genetic

Identifiers

PMID16838217
OpenAlexW2068095283

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.