Literature DB >> 11734896

Correlations between mRNA expression levels and GC contents of coding and untranslated regions of genes in rodents.

Ozlen Konu1, Ming D Li.   

Abstract

Gene expression is regulated by a highly coordinated network of events whose efficiency may constrain the level of expression. Among other factors, natural selection for increased translational efficiency and/or fidelity may shape nucleotide composition and, hence, codon usage during evolution. Previous studies have shown that highly expressed genes in Saccharomyces cerevisiae, Caenorhabditis elegans, and Drosophila melanogaster have relatively higher codon usage biases. However, in the case of mammals, results have been equivocal. In this study, we assessed the correlation between nucleotide composition and mRNA expression levels of rodent genes measured by cDNA microarray and serial analysis of gene expression (SAGE) techniques. We found that mRNA expression levels were correlated with the third nucleotide position GC (GC3) content for both Rattus norvegicus (r = 0.246, p = 0.01; N = 110) and Mus musculus (r = 0.21, p = 0.0026; N = 203) genes. However, no significant correlation was evident between mRNA expression level and GC contents of 5'- and 3'-untranslated regions (UTRs) for either species. This suggests that, in rodents, nucleotide composition of coding sequences and UTRs might evolve differentially when considered along an expression gradient. Accordingly, it is possible that higher GC levels may present the rodent genes with a selective advantage for translational efficiency. However, the increase in GC3 content seems to level off above an expressional threshold (e.g., >or=threefold the median expression for R. norvegicus), suggesting that conflicting demands posed by different aspects of transcriptional and translational machineries (e.g., efficiency versus fidelity) may set an upper limit for GC3.

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Year:  2002        PMID: 11734896     DOI: 10.1007/s00239-001-0015-z

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  18 in total

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2.  DNA helix: the importance of being GC-rich.

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3.  Relationships among stop codon usage bias, its context, isochores, and gene expression level in various eukaryotes.

Authors:  Jingchun Sun; Ming Chen; Jinlin Xu; Jianhua Luo
Journal:  J Mol Evol       Date:  2005-09-13       Impact factor: 2.395

4.  Isochores and tissue-specificity.

Authors:  Alexander E Vinogradov
Journal:  Nucleic Acids Res       Date:  2003-09-01       Impact factor: 16.971

5.  Mammalian mutation pressure, synonymous codon choice, and mRNA degradation.

Authors:  Jubao Duan; Marcos A Antezana
Journal:  J Mol Evol       Date:  2003-12       Impact factor: 2.395

6.  Unexpected correlations between gene expression and codon usage bias from microarray data for the whole Escherichia coli K-12 genome.

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Journal:  Nucleic Acids Res       Date:  2003-12-01       Impact factor: 16.971

7.  Comparative analysis of orthologous eukaryotic mRNAs: potential hidden functional signals.

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8.  Translational selection on SHH genes.

Authors:  Mohammadreza Hajjari; Behnaz Saffar; Atefeh Khoshnevisan
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9.  Intensity dependent estimation of noise in microarrays improves detection of differentially expressed genes.

Authors:  Amit Zeisel; Amnon Amir; Wolfgang J Köstler; Eytan Domany
Journal:  BMC Bioinformatics       Date:  2010-07-27       Impact factor: 3.169

10.  Transcriptome map of mouse isochores.

Authors:  Stilianos Arhondakis; Kimon Frousios; Costas S Iliopoulos; Solon P Pissis; German Tischler; Sophia Kossida
Journal:  BMC Genomics       Date:  2011-10-17       Impact factor: 3.969

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