Estimation of DNA sequence context-dependent mutation rates using primate genomic sequences.
Estimation of DNA sequence context-dependent mutation rates using primate genomic sequences.
复制标题
使用灵长类基因组序列估计 DNA 序列上下文相关的突变率。
DOI:
10.1007/s00239-007-9000-5
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发表时间:
2007
影响因子:
3.9
通讯作者:
NISCComparativeSequencingProgram
中科院分区:
文献类型:
--
作者:
Zhang,Wei;Bouffard,GerardG;Wallace,SusanS;Bond,JeffreyP;NISCComparativeSequencingProgram
It is understood that DNA and amino acid substitution rates are highly sequence context-dependent, e.g., C→T substitutions in vertebrates may occur much more frequently at CpG sites and that cysteine substitution rates may depend on support of the context for participation in a disulfide bond. Furthermore, many applications rely on quantitative models of nucleotide or amino acid substitution, including phylogenetic inference and identification of amino acid sequence positions involved in functional specificity. We describe quantification of the context dependence of nucleotide substitution rates using baboon, chimpanzee, and human genomic sequence data generated by the NISC Comparative Sequencing Program. Relative mutation rates are reported for the 96 classes of mutations of the form 5′αβγ3′ → 5′αδγ3′, where α, β, γ, and δ are nucleotides and β ≠ δ, based on maximum likelihood calculations. Our results confirm that C→T substitutions are enhanced at CpG sites compared with other transitions, relatively independent of the identity of the preceding nucleotide. While, as expected, transitions generally occur more frequently than transversions, we find that the most frequent transversions involve the C at CpG sites (CpG transversions) and that their rate is comparable to the rate of transitions at non-CpG sites. A four-class model of the rates of context-dependent evolution of primate DNA sequences, CpG transitions > non-CpG transitions ≈ CpG transversions > non-CpG transversions, captures qualitative features of the mutation spectrum. We find that despite qualitative similarity of mutation rates among different genomic regions, there are statistically significant differences.