Evidence map›Paper›PMID 34383106›Full record

ReviewJournal of molecular evolution2021

Codon Usage Bias: An Endless Tale.

Andrés Iriarte, Guillermo Lamolle, Héctor Musto

Abstract readLetterReview
PubMed Publisher
In one paragraph

Review in Journal of molecular evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed
6.3field-weighted citation impact, top 2% 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

79 citing papers in PubMed, 110 citations in OpenAlex.

  1. Article
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  7. Review
  8. The First Complete Mitochondrial Genome ofCurrent issues in molecular biology · 2026
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  16. Patterns and drivers of genome-wide codon usage bias in the fungal order Sordariales.DNA research : an international journal for rapid publication of reports on genes and genomes · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Codon Usage Bias Analysis in the Chloroplast Genome ofCurrent issues in molecular biology · 2025
    Article

19 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

3 authors at 1 institution in 1 country.

Andrés IriarteLaboratorio de Genómica Evolutiva, Depto. de Biología Celular y Molecular, Facultad de Ciencias, Universidad de la República, 11400, Montevideo, Uruguay.
Guillermo LamolleLaboratorio de Genómica Evolutiva, Depto. de Biología Celular y Molecular, Facultad de Ciencias, Universidad de la República, 11400, Montevideo, Uruguay.
Héctor MustoLaboratorio de Genómica Evolutiva, Depto. de Biología Celular y Molecular, Facultad de Ciencias, Universidad de la República, 11400, Montevideo, Uruguay. hmusto@gmail.com.ORCID 0000-0001-9863-0841
Universidad de la República de Uruguay · UY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the genetic code is degenerate, several codons are translated to the same amino acid. Although these triplets were historically considered to be "synonymous" and therefore expected to be used at rather equal frequencies in all genomes, we now know that this is not the case. Indeed, since several coding sequences were obtained in the late '70s and early '80s in the last century, coming from either the same or different species, it was evident that (a) each genome, taken globally, displayed different codon usage patterns, which means that different genomes display a particular global codon usage table when all genes are considered together, and (b) there is a strong intragenomic diversity: in other words, within a given species the codon usage pattern can (and usually do) differ greatly among genes in the same genome. These different patterns were attributed to two main factors: first, the mutational bias characteristic of each genome, which determines that GC- poor species display a general bias towards A/T codons while the reverse is true for GC- rich species. Second, the differences in codon usage among genes from the same species are due to natural selection acting at the level of translation, in such a way that highly expressed genes tend to use codons that match with the most abundant isoacceptor tRNAs. Thus, these genes are translated at a highest rate, which in turn leads to avoid the limiting factor in translation which is the number of available ribosomes per cell. Although these explanations are still valid, new factors are almost constantly postulated to affect codon usage. In this mini review, we shall try to summarize them.

Indexed as

Codon UsageGenetic CodeCodonRNA, TransferSelection, GeneticCodonRNA, Transfer

Identifiers

PMID34383106
OpenAlexW3190542556

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.