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脊椎动物线粒体蛋白质编码基因中的核苷酸替换模式。

Patterns of nucleotide substitution in mitochondrial protein coding genes of vertebrates.

作者信息

Kumar S

机构信息

Institute of Molecular Evolutionary Genetics, Pennsylvania State University, University Park 16802, USA.

出版信息

Genetics. 1996 May;143(1):537-48. doi: 10.1093/genetics/143.1.537.

Abstract

Maximum likelihood methods were used to study the differences in substitution rates among the four nucleotides and among different nucleotide sites in mitochondrial protein-coding genes of vertebrates. In the 1st + 2nd codon position data, the frequency of nucleotide G is negatively correlated with evolutionary rates of genes, substitution rates vary substantially among sites, and the transition/transversion rate bias (R) is two to five times larger than that expected at random. Generally, largest transition biases and greatest differences in substitution rates among sites are found in the highly conserved genes. The 3rd positions in placental mammal genes exhibit strong nucleotide composition biases and the transitional rates exceed transversional rates by one to two orders of magnitude. Tamura-Nei and Hasegawa-Kishino-Yano models with gamma distributed variable rates among sites (gamma parameter, alpha) adequately describe the nucleotide substitution process in 1st+2nd position data. In these data, ignoring differences in substitution rates among sites leads to largest biases while estimating substitution rates. Kimura's two-parameter model with variable-rates among sites performs satisfactorily in likelihood estimation of R, alpha, and overall amount of evolution for 1st+2nd position data. It can also be used to estimate pairwise distances with appropriate values of alpha for a majority of genes.

摘要

采用最大似然法研究脊椎动物线粒体蛋白质编码基因中四种核苷酸之间以及不同核苷酸位点之间的替换率差异。在第一和第二密码子位置的数据中,核苷酸G的频率与基因的进化速率呈负相关,位点间的替换率差异很大,转换/颠换率偏差(R)比随机预期值大两到五倍。一般来说,在高度保守的基因中发现最大的转换偏差和位点间替换率的最大差异。胎盘哺乳动物基因的第三密码子位置表现出强烈的核苷酸组成偏差,转换率比颠换率高出一到两个数量级。具有位点间伽马分布可变率(伽马参数,α)的Tamura-Nei模型和Hasegawa-Kishino-Yano模型能够充分描述第一和第二位置数据中的核苷酸替换过程。在这些数据中,忽略位点间替换率的差异会导致在估计替换率时产生最大偏差。具有位点间可变率的Kimura双参数模型在第一和第二位置数据的R、α以及总体进化量的似然估计中表现令人满意。对于大多数基因,它也可以用于用适当的α值估计成对距离。

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