Literature DB >> 8893856

What drives codon choices in human genes?

S Karlin1, J Mrázek.   

Abstract

Synonymous codon usage is based and the bias seems to be different in different organisms. Factors with proposed roles in causing codon bias include degree and timing of gene expression, codon-anticodon interactions, transcription and translation rate and fidelity, codon context, and global and local G + C content. We offer a new perspective and new methods for elucidating codon choices applied especially to the human genome. We present data supporting the thesis that codon choices for human genes are largely a consequence of two factors: (1) amino acid constraints, (2) maintaining DNA structures dependent on base-step conformational tendencies consistent with the organism's genome signature that is determined by genome-wide processes of DNA modification, replication and repair. The related codon signature defined as the dinucleotide relative abundances at the distinct codon positions (1,2), (2,3), and (3,4) (4 = 1 of the next codon) accommodates both the global genome signature and amino acid constraints. In human genes, codon positions (2,3) and (3,4) containing the silent site have similar codon signatures reflecting DNA symmetry. Strong CG and TA dinucleotide underrepresentation is observed at all codon positions as well as in non-coding regions. Estimates of synonymous codon usage based on codon signatures are in excellent agreement with the actual codon usage in human and general vertebrate genes. These properties are largely independent of the isochore compartment (G + C content), gene size, and transcriptional and translational constraints. We hypothesize that major influences on codon usage in human genes result from residue preferences and diresidue associations in proteins coupled to biases on the DNA level, related to replication and repair processes and/or DNA structural requirements.

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Year:  1996        PMID: 8893856     DOI: 10.1006/jmbi.1996.0528

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


  96 in total

1.  Comparison of intron-containing and intron-lacking human genes elucidates putative exonic splicing enhancers.

Authors:  A Fedorov; S Saxonov; L Fedorova; I Daizadeh
Journal:  Nucleic Acids Res       Date:  2001-04-01       Impact factor: 16.971

2.  Genome signature comparisons among prokaryote, plasmid, and mitochondrial DNA.

Authors:  A Campbell; J Mrázek; S Karlin
Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-03       Impact factor: 11.205

3.  Regularities of context-dependent codon bias in eukaryotic genes.

Authors:  Alexei Fedorov; Serge Saxonov; Walter Gilbert
Journal:  Nucleic Acids Res       Date:  2002-03-01       Impact factor: 16.971

4.  Predicted highly expressed genes of diverse prokaryotic genomes.

Authors:  S Karlin; J Mrázek
Journal:  J Bacteriol       Date:  2000-09       Impact factor: 3.490

5.  Codon usage patterns in cytochrome oxidase I across multiple insect orders.

Authors:  Joshua T Herbeck; John Novembre
Journal:  J Mol Evol       Date:  2003-06       Impact factor: 2.395

6.  Evolutionary patterns of codon usage in the chloroplast gene rbcL.

Authors:  Dennis P Wall; Joshua T Herbeck
Journal:  J Mol Evol       Date:  2003-06       Impact factor: 2.395

7.  Natural selection affects frequencies of AG and GT dinucleotides at the 5' and 3' ends of exons.

Authors:  S T Eskesen; F N Eskesen; A Ruvinsky
Journal:  Genetics       Date:  2004-05       Impact factor: 4.562

8.  Codon usage bias from tRNA's point of view: redundancy, specialization, and efficient decoding for translation optimization.

Authors:  Eduardo P C Rocha
Journal:  Genome Res       Date:  2004-10-12       Impact factor: 9.043

9.  The signature of selection mediated by expression on human genes.

Authors:  Araxi O Urrutia; Laurence D Hurst
Journal:  Genome Res       Date:  2003-09-15       Impact factor: 9.043

10.  Analysis of synonymous codon usage in the UL24 gene of duck enteritis virus.

Authors:  Renyong Jia; Anchun Cheng; Mingshu Wang; Hongyi Xin; Yufei Guo; Dekang Zhu; Xuefeng Qi; Lichan Zhao; Han Ge; Xiaoyue Chen
Journal:  Virus Genes       Date:  2008-10-29       Impact factor: 2.332

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