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首页> 外文期刊>Genetics: A Periodical Record of Investigations Bearing on Heredity and Variation >Intragenic Spatial Patterns of Codon Usage Bias in Prokaryotic and Eukaryotic Genomes
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Intragenic Spatial Patterns of Codon Usage Bias in Prokaryotic and Eukaryotic Genomes

机译:原核和真核基因组密码子使用偏好的基因内空间格局。

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To study the roles of translational accuracy, translational efficiency, and the Hill-Robertson effect in codon usage bias, we studied the intragenic spatial distribution of synonymous codon usage bias in four prokaryotic ( Escherichia coli , Bacillus subtilis , Sulfolobus tokodaii , and Thermotoga maritima ) and two eukaryotic ( Saccharomyces cerevisiae and Drosophila melanogaster ) genomes. We generated supersequences at each codon position across genes in a genome and computed the overall bias at each codon position. By quantitatively evaluating the trend of spatial patterns using isotonic regression, we show that in yeast and prokaryotic genomes, codon usage bias increases along translational direction, which is consistent with purifying selection against nonsense errors. Fruit fly genes show a nearly symmetric M-shaped spatial pattern of codon usage bias, with less bias in the middle and both ends. The low codon usage bias in the middle region is best explained by interference (the Hill-Robertson effect) between selections at different codon positions. In both yeast and fruit fly, spatial patterns of codon usage bias are characteristically different from patterns of GC-content variations. Effect of expression level on the strength of codon usage bias is more conspicuous than its effect on the shape of the spatial distribution.
机译:为了研究翻译准确性,翻译效率和Hill-Robertson效应在密码子使用偏向中的作用,我们研究了同义密码子使用偏向在四个原核生物(大肠杆菌,枯草芽孢杆菌,Sulfolobus tokodaii和Thermotoga maritima)中的空间分布。和两个真核生物(酿酒酵母和果蝇果蝇)基因组。我们在基因组中跨基因的每个密码子位置生成了超序列,并计算了每个密码子位置的总体偏向。通过使用等渗回归定量评估空间格局的趋势,我们表明,在酵母和原核基因组中,密码子使用偏倚沿翻译方向增加,这与针对无意义错误的纯化选择相一致。果蝇基因显示出密码子使用偏向几乎对称的M形空间格局,中间和两端偏向较少。中间区域的低密码子使用偏倚可以用不同密码子位置的选择之间的干扰(希尔-罗伯逊效应)来最好地解释。在酵母和果蝇中,密码子使用偏倚的空间模式与GC含量变化的模式特征不同。表达水平对密码子使用偏倚强度的影响比对空间分布形状的影响更为明显。

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