Literature DB >> 3441003

Codon distribution in vertebrate genes may be used to predict gene length.

W Bains1.   

Abstract

I have analysed the coding regions of 96 eukaryotic genes for their use of iso-coding codons. Specific codons occur more frequently in specific positions in all members of some gene families than would be expected if codon choice was determined solely by the frequency of codon usage. In the absence of evidence a priori for selection for particular codons at particular positions, I term such co-occurring codons "coincident codons". Coincident codons are not confined to particular regions of genes, and their occurrence is not detectably linked with the location of introns in the genomic sequence. Their presence is partly but not completely explained by the exchange of sequence between similar functional genes within a species: homologous genes from different organisms also possess the same codons at some sites with greater than expected frequencies. The relative excess of coincident codons correlates well with the overall length of the genes analysed, but not with the length of mRNA or coding regions, or with qualitative features of gene structure or expression. This, and the unusual sequence environment of coincident codons, suggests that they are a feature of the overall secondary structure of the heterogeneous nuclear RNA. Such considerations suggest approaches for optimizing the expression of exogenous genes in eukaryotic systems, and for predicting the structure of genes for which only partial sequence data is available.

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Year:  1987        PMID: 3441003     DOI: 10.1016/0022-2836(87)90551-1

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  8 in total

1.  Significant abundance of cis configurations of coding variants in diploid human genomes.

Authors:  Margret R Hoehe; Ralf Herwig; Qing Mao; Brock A Peters; Radoje Drmanac; George M Church; Thomas Huebsch
Journal:  Nucleic Acids Res       Date:  2019-04-08       Impact factor: 16.971

2.  A simple model based on mutation and selection explains trends in codon and amino-acid usage and GC composition within and across genomes.

Authors:  R D Knight; S J Freeland; L F Landweber
Journal:  Genome Biol       Date:  2001-03-22       Impact factor: 13.583

3.  Analysis of synonymous codon usage patterns in sixty-four different bivalve species.

Authors:  Marco Gerdol; Gianluca De Moro; Paola Venier; Alberto Pallavicini
Journal:  PeerJ       Date:  2015-12-14       Impact factor: 2.984

4.  Does codon bias have an evolutionary origin?

Authors:  Jan C Biro
Journal:  Theor Biol Med Model       Date:  2008-07-30       Impact factor: 2.432

5.  CodonO: codon usage bias analysis within and across genomes.

Authors:  Michael C Angellotti; Shafquat B Bhuiyan; Guorong Chen; Xiu-Feng Wan
Journal:  Nucleic Acids Res       Date:  2007-05-30       Impact factor: 16.971

6.  Quantitative relationship between synonymous codon usage bias and GC composition across unicellular genomes.

Authors:  Xiu-Feng Wan; Dong Xu; Andris Kleinhofs; Jizhong Zhou
Journal:  BMC Evol Biol       Date:  2004-06-28       Impact factor: 3.260

7.  Analysis of codon usage patterns and influencing factors in Nipah virus.

Authors:  Supriyo Chakraborty; Bornali Deb; Parvin A Barbhuiya; Arif Uddin
Journal:  Virus Res       Date:  2019-01-18       Impact factor: 3.303

8.  Genome-wide analysis of codon usage in sesame (Sesamum indicum L.).

Authors:  Mebeaselassie Andargie; Zhu Congyi
Journal:  Heliyon       Date:  2021-12-29
  8 in total

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