Literature DB >> 14990797

Codon usage between genomes is constrained by genome-wide mutational processes.

Swaine L Chen1, William Lee, Alison K Hottes, Lucy Shapiro, Harley H McAdams.   

Abstract

Analysis of genome-wide codon bias shows that only two parameters effectively differentiate the genome-wide codon bias of 100 eubacterial and archaeal organisms. The first parameter correlates with genome GC content, and the second parameter correlates with context-dependent nucleotide bias. Both of these parameters may be calculated from intergenic sequences. Therefore, genome-wide codon bias in eubacteria and archaea may be predicted from intergenic sequences that are not translated. When these two parameters are calculated for genes from nonmammalian eukaryotic organisms, genes from the same organism again have similar values, and genome-wide codon bias may also be predicted from intergenic sequences. In mammals, genes from the same organism are similar only in the second parameter, because GC content varies widely among isochores. Our results suggest that, in general, genome-wide codon bias is determined primarily by mutational processes that act throughout the genome, and only secondarily by selective forces acting on translated sequences.

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Year:  2004        PMID: 14990797      PMCID: PMC373487          DOI: 10.1073/pnas.0307827100

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  41 in total

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  144 in total

1.  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

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Authors:  Mario dos Reis; Renos Savva; Lorenz Wernisch
Journal:  Nucleic Acids Res       Date:  2004-09-24       Impact factor: 16.971

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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-04-27       Impact factor: 6.237

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Authors:  Fran Supek
Journal:  J Mol Evol       Date:  2015-11-04       Impact factor: 2.395

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Journal:  Proc Natl Acad Sci U S A       Date:  2006-09-13       Impact factor: 11.205

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Journal:  J Mol Evol       Date:  2005-12-06       Impact factor: 2.395

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Authors:  Les Dethlefsen; Thomas M Schmidt
Journal:  J Bacteriol       Date:  2007-02-02       Impact factor: 3.490

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Journal:  J Mol Evol       Date:  2006-09-04       Impact factor: 2.395

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Authors:  Nacho Molina; Erik van Nimwegen
Journal:  Genome Res       Date:  2007-11-21       Impact factor: 9.043

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Authors:  Cara C Burns; Ray Campagnoli; Jing Shaw; Annelet Vincent; Jaume Jorba; Olen Kew
Journal:  J Virol       Date:  2009-07-15       Impact factor: 5.103

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