Literature DB >> 16687416

Cytosine usage modulates the correlation between CDS length and CG content in prokaryotic genomes.

Xuhua Xia1, Huaichun Wang, Zheng Xie, Malisa Carullo, Huang Huang, Donal Hickey.   

Abstract

Previous studies have argued that, given the AT-rich nature of stop codons, the length and CG% of coding sequences (CDSs) should be positively correlated. This prediction is generally supported empirically by prokaryotic genomes. However, the correlation is weak for a number of species, with 4 species showing a negative correlation. Here we formulate a more general hypothesis incorporating selection against cytosine (C) usage to explain the lack of strong positive correlation between the length and GC% of CDSs. Two factors contribute to the selection against C usage in long CDSs. First, C is the least abundant nucleotide in the cell, and a long CDS should have fewer Cs to increase transcription efficiency. Second, C is prone to mutation to U/T and selection for increased reliability should reduce C usage in long CDSs. Empirical data from prokaryotic genomes lend strong support for this new hypothesis.

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Year:  2006        PMID: 16687416     DOI: 10.1093/molbev/msl012

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  6 in total

1.  DNA replication and strand asymmetry in prokaryotic and mitochondrial genomes.

Authors:  Xuhua Xia
Journal:  Curr Genomics       Date:  2012-03       Impact factor: 2.236

2.  Lengths of Orthologous Prokaryotic Proteins Are Affected by Evolutionary Factors.

Authors:  Tatiana Tatarinova; Bilal Salih; Jennifer Dien Bard; Irit Cohen; Alexander Bolshoy
Journal:  Biomed Res Int       Date:  2015-05-31       Impact factor: 3.411

3.  DAMBE5: a comprehensive software package for data analysis in molecular biology and evolution.

Authors:  Xuhua Xia
Journal:  Mol Biol Evol       Date:  2013-04-05       Impact factor: 16.240

4.  Rapid divergence of codon usage patterns within the rice genome.

Authors:  Huai-Chun Wang; Donal A Hickey
Journal:  BMC Evol Biol       Date:  2007-02-08       Impact factor: 3.260

5.  The cost of wobble translation in fungal mitochondrial genomes: integration of two traditional hypotheses.

Authors:  Xuhua Xia
Journal:  BMC Evol Biol       Date:  2008-07-19       Impact factor: 3.260

6.  Randomness in Sequence Evolution Increases over Time.

Authors:  Guangyu Wang; Shixiang Sun; Zhang Zhang
Journal:  PLoS One       Date:  2016-05-25       Impact factor: 3.240

  6 in total

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