Evidence map›Paper›PMID 22039174›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2011

Mutation bias is the driving force of codon usage in the Gallus gallus genome.

Yousheng Rao, Guozuo Wu, Zhangfeng Wang, Xuewen Chai, Qinghua Nie, Xiquan Zhang

Open access · goldAbstract read
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

59 citing papers in PubMed, 122 citations in OpenAlex.

  1. Article
  2. Article
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  4. Codon usage bias and molecular evolution ofFrontiers in genetics · 2026
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  5. Characterization of the Complete Mitochondrial Genome ofAnimals : an open access journal from MDPI · 2025
    Article
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  12. Comparative analysis of codon usage patterns in the chloroplast genomes of nine forage legumes.Physiology and molecular biology of plants : an international journal of functional plant biology · 2024
    Article
  13. Article
  14. Comparative analysis ofEcology and evolution · 2023
    Article
  15. Analysis of Codon Usage Bias in Xyloglucan Endotransglycosylase (XET) Genes.International journal of molecular sciences · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Comprehensive analysis of codon bias in 13Frontiers in microbiology · 2023
    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

6 authors at 1 institution in 1 country.

Yousheng RaoDepartment of Biological Technology, Jiangxi Educational Institute, Nanchang, China. rys8323571@yahoo.com.cn
Guozuo Wu
Zhangfeng Wang
Xuewen Chai
Qinghua Nie
Xiquan Zhang
South China Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synonymous codons are used with different frequencies both among species and among genes within the same genome and are controlled by neutral processes (such as mutation and drift) as well as by selection. Up to now, a systematic examination of the codon usage for the chicken genome has not been performed. Here, we carried out a whole genome analysis of the chicken genome by the use of the relative synonymous codon usage (RSCU) method and identified 11 putative optimal codons, all of them ending with uracil (U), which is significantly departing from the pattern observed in other eukaryotes. Optimal codons in the chicken genome are most likely the ones corresponding to highly expressed transfer RNA (tRNAs) or tRNA gene copy numbers in the cell. Codon bias, measured as the frequency of optimal codons (Fop), is negatively correlated with the G + C content, recombination rate, but positively correlated with gene expression, protein length, gene length and intron length. The positive correlation between codon bias and protein, gene and intron length is quite different from other multi-cellular organism, as this trend has been only found in unicellular organisms. Our data displayed that regional G + C content explains a large proportion of the variance of codon bias in chicken. Stepwise selection model analyses indicate that G + C content of coding sequence is the most important factor for codon bias. It appears that variation in the G + C content of CDSs accounts for over 60% of the variation of codon bias. This study suggests that both mutation bias and selection contribute to codon bias. However, mutation bias is the driving force of the codon usage in the Gallus gallus genome. Our data also provide evidence that the negative correlation between codon bias and recombination rates in G. gallus is determined mostly by recombination-dependent mutational patterns.

Indexed as

CodonGenomeMutationAnimalsBase CompositionChickensEvolution, MolecularGene Expression RegulationRecombination, GeneticRNA, TransferCodonRNA, Transfer

Identifiers

PMID22039174
PMCPMC3223081
OpenAlexW2113191934

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.