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首页> 外文期刊>DNA research: an international journal for rapid publication of reports on genes and genomes >Universal pattern and diverse strengths of successive synonymous codon bias in three domains of life, particularly among prokaryotic genomes
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Universal pattern and diverse strengths of successive synonymous codon bias in three domains of life, particularly among prokaryotic genomes

机译:在生活的三个领域,尤其是原核基因组中,连续的同义密码子偏倚的普遍模式和不同优势

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摘要

There has been significant progress in understanding the process of protein translation in recent years. One of the best examples is the discovery of usage bias in successive synonymous codons and its role in eukaryotic translation efficiency. We observed here a similar type of bias in the other two life domains, bacteria and archaea, although the bias strength was much smaller than in eukaryotes. Among 136 prokaryotic genomes, 98 were found to have significant bias from random use of successive synonymous codons with Z scores larger than three. Furthermore, significantly different bias strengths were found between prokaryotes grouped by various genomic or biochemical characteristics. Interestingly, the bias strength measured by a general Z score could be fitted well (R = 0.83, P 10-15) by three genomic variables: genome size, G + C content, and tRNA gene number based on multiple linear regression. A different distribution of synonymous codon pairs between protein-coding genes and intergenic sequences suggests that bias is caused by translation selection. The present results indicate that protein translation is tuned by codon (pair) usage, and the intensity of the regulation is associated with genome size, tRNA gene number, and G + C content.
机译:近年来,在理解蛋白质翻译过程方面取得了重大进展。最好的例子之一是在连续的同义密码子中发现使用偏见及其在真核翻译效率中的作用。我们在其他两个生命域(细菌和古细菌)中观察到了类似的偏见类型,尽管偏见强度远小于真核生物。在136个原核基因组中,发现98个Z值大于3的连续同义密码子的随机使用具有显着偏倚。此外,在根据各种基因组或生化特征分组的原核生物之间发现了显着不同的偏倚强度。有趣的是,可以通过三个基因组变量(基于基因组大小,G + C含量和基于多元线性回归的tRNA基因数量)很好地拟合由一般Z评分测量的偏倚强度(R = 0.83,P <10-15)。蛋白质编码基因和基因间序列之间同义密码子对的不同分布表明,偏倚是由翻译选择引起的。目前的结果表明,蛋白质翻译是通过密码子(对)使用来调节的,调控的强度与基因组大小,tRNA基因数量和G + C含量有关。

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