Cited by 392RNA and protein synthesis mechanismsOrigins and Evolution of LifeEvolution and Genetic Dynamics

Origin and evolution of the genetic code: The universal enigma

Open access
Koonin, Eugene V., Novozhilov, Artem S.·2009·IUBMB Life

Abstract

The genetic code is nearly universal, and the arrangement of the codons in the standard codon table is highly nonrandom. The three main concepts on the origin and evolution of the code are the stereochemical theory, according to which codon assignments are dictated by physicochemical affinity between amino acids and the cognate codons (anticodons); the coevolution theory, which posits that the code structure coevolved with amino acid biosynthesis pathways; and the error minimization theory under which selection to minimize the adverse effect of point mutations and translation errors was the principal factor of the code's evolution. These theories are not mutually exclusive and are also compatible with the frozen accident hypothesis, that is, the notion that the standard code might have no special properties but was fixed simply because all extant life forms share a common ancestor, with subsequent changes to the code, mostly, precluded by the deleterious effect of codon reassignment. Mathematical analysis of the structure and possible evolutionary trajectories of the code shows that it is highly robust to translational misreading but there are numerous more robust codes, so the standard code potentially could evolve from a random code via a short sequence of codon series reassignments. Thus, much of the evolution that led to the standard code could be a combination of frozen accident with selection for error minimization although contributions from coevolution of the code with metabolic pathways and weak affinities between amino acids and nucleotide triplets cannot be ruled out. However, such scenarios for the code evolution are based on formal schemes whose relevance to the actual primordial evolution is uncertain. A real understanding of the code origin and evolution is likely to be attainable only in conjunction with a credible scenario for the evolution of the coding principle itself and the translation system. © 2008 IUBMB IUBMB Life, 61(2): 99–111, 2009

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/iub.146

Cites

142 of 142 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The principal debate revolves around four competing perspectives on the code's origin and evolution.

    “The principal debate revolves around four competing perspectives on the code's origin and evolution (18, 39, 44).”

    From Origin and Evolution of the Universal Genetic Code (2017) · cites this paper as [44]

    The Introduction, under “The basic theories of the code nature, origin and evolution,” identifies three main theories and says they are not necessarily mutually exclusive. The paper also discusses the frozen-accident view as a default explanation, but does not present four competing perspectives as the principal debate. Page numbers were not available in our copy. (LLM, conf=0.88)

    Checked by a reasoning model — may be wrong.

    Experimental — accuracy not yet measured
  • We currently have no formal models for genetic code evolution.

    “We currently have no such formal models for genetic code evolution [11,12,25,27].”

    From On universal common ancestry, sequence similarity, and phylogenetic structure: the sins of P-values and the virtues of Bayesian evidence (2011) · cites this paper as [12]

    The section “The adaptive theory: evidence of evolutionary optimization of the code” describes the Ardell–Sella model of code evolution. In “Instead of conclusions,” the authors say that studies of code evolution use formalized settings; their concern is whether those models reflect primordial evolution, not that formal models do not exist. Page numbers are unavailable in our copy. (LLM, conf=0.90)

    Checked by a reasoning model — may be wrong.

    Experimental — accuracy not yet measured
  • Given genes and proteins, the origin of molecular machines such as the ATPase is an impressive but not conceptually challenging evolutionary step, far less problematic than the hurdles at the origin of the ribosome and the code.

    “Given genes and proteins, the origin of molecular machines such as the ATPase is an admittedly impressive, but not conceptually challenging, evolutionary step; it is a far less problematic increment than the hurdles that had to be surmounted at the origin of the ribosome and the code [110,117].”

    From Early bioenergetic evolution (2013) · cites this paper as [110]

    In “Instead of conclusions: How did the code evolve (and will we ever know)?” (page not available), the paper calls the origin of coding and the translation system a formidable problem and describes a circular difficulty: functional proteins require translation, while the evolution of translation needs a selective force. It does not discuss ATPase or say that, once genes and proteins exist, molecular machines are conceptually easier to evolve than the ribosome and code. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • The scenarios of code evolution do not have to be mutually exclusive.

    “Clearly, these scenarios of code evolution do not have to be mutually exclusive, further complicating the problem (44).”

    From Origin and Evolution of the Universal Genetic Code (2017) · cites this paper as [44]

  • The structure of the SGC is manifestly regular with respect to multiple criteria.

    “The structure of the SGC-that is, the mapping of 64 codons to 20 amino acids and the stop signal-is manifestly regular with respect to multiple criteria (44, 84).”

    From Origin and Evolution of the Universal Genetic Code (2017) · cites this paper as [44]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

1 of the 143 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Koonin, E. V., & Novozhilov, A. S.
Affiliations
National Institutes of Health (US)
Corresponding author
Koonin, Eugene V.
Venue
IUBMB Life
Publisher
Wiley
Published
2008-12-31
Volume
61
Issue
2
Pages
99-111
ISSN
  • 1521-6543 (ISSN-L)
  • 1521-6551
OpenAlex
W1963573192
Cited by
392
References
143
Citations by year
2026: 36 · 2025: 22 · 2024: 28 · 2023: 33 · 2022: 21 · 2021: 21 · 2020: 28 · 2019: 22 · 2018: 25 · 2017: 32 · 2016: 18 · 2015: 19 · 2014: 14 · 2013: 20 · 2012: 16
FWCI
0.95
Type
journal article
Language
en
Open access
Locations
  • IUBMB Life (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Aspen Center for Physics
  • National Institutes of Health
  • U.S. National Library of Medicine (ZIALM000061)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
  • Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Origins and Evolution of Life
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
Keywords
origin of the genetic code, genetic code evolution, codon assignment, error reduction, codon reassignment, code robustness
MeSH terms
Amino Acids, Codon, Genetic Code, Protein Biosynthesis, Evolution, Molecular

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review