ArticleJournal of molecular evolution2007
The effect of local nucleotides on synonymous codon usage in the honeybee (Apis mellifera L.) genome.
Article in Journal of molecular evolution, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed, 3 citations in OpenAlex.
- Synonymous codon usage bias dependent on local nucleotide context in the class Deinococci.Journal of molecular evolution · 2008Article
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Using all currently predicted coding regions in the honeybee genome, a novel form of synonymous codon bias is presented that affects the usage of particular codons dependent on the surrounding nucleotides in the coding region. Nucleotides at the third codon site are correlated, dependent on their weak (adenine [A] or thyamine [T]) versus strong (guanine [G] or cytosine [C]) status, to nucleotides on the first codon site which are dependent on their purine (A/G) versus pyrimidine (C/T) status. In particular, for adjacent third and first site nucleotides, weak-pyrimidine and strong-purine nucleotide combinations occur much more frequently than the underabundant weak-purine and strong-pyrimidine nucleotide combinations. Since a similar effect is also found in the noncoding regions, but is present for all adjacent nucleotides, this coding effect is most likely due to a genome-wide context-dependent mutation error correcting mechanism in combination with selective constraints on adjacent first and second nucleotide pairs within codons. The position-dependent relationship of synonymous codon usage is evidence for a novel form of codon position bias which utilizes the redundancy in the genetic code to minimize the effect of nucleotide mutations within coding regions.
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