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利用假定的系统发育关系,通过独立的成对比较来估计转换/颠换比。

Estimating the transition/transversion ratio from independent pairwise comparisons with an assumed phylogeny.

作者信息

Purvis A, Bromham L

机构信息

Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, United Kingdom.

出版信息

J Mol Evol. 1997 Jan;44(1):112-9. doi: 10.1007/pl00006117.

DOI:10.1007/pl00006117
PMID:9010143
Abstract

A method is presented for estimating the transition/transversion ratio (TI/TV), based on phylogenetically independent comparisons. TI/TV is a parameter of some models used in phylogeny estimation intended to reflect the fact that nucleotide substitutions are not all equally likely. Previous attempts to estimate TI/TV have commonly faced three problems: (1) few taxa; (2) nonindependence among pairwise comparisons; and (3) multiple hits make the apparent TI/TV between two sequences decrease over time since their divergence, giving a misleading impression of relative substitution probabilities. We have made use of the time dependency, modeling how the observed TI/TV changes over time and extrapolating to estimate the "instantaneous" TI/TV-the relevant parameter for phylogenetic inference. To illustrate our method, TI/TV was estimated for two mammalian mitochondrial genes. For 26 pairs of cytochrome b sequences, the estimate of TI/TV was 5.5; 16 pairs of 12s rRNA yielded an estimate of 9.5. These estimates are higher than those given by the maximum likelihood method and than those obtained by averaging all possible pairwise comparisons (with or without a two-parameter correction for multiple substitutions). We discuss strengths, weaknesses, and further uses of our method.

摘要

本文提出了一种基于系统发育独立比较来估计转换/颠换比(TI/TV)的方法。TI/TV是系统发育估计中一些模型的一个参数,旨在反映核苷酸替换并非同等可能这一事实。先前估计TI/TV的尝试通常面临三个问题:(1)分类单元数量少;(2)成对比较之间不独立;(3)多次击中会使两个序列之间的表观TI/TV自它们分化以来随时间下降,从而给出关于相对替换概率的误导性印象。我们利用了时间依赖性,对观察到的TI/TV如何随时间变化进行建模,并外推以估计“瞬时”TI/TV——系统发育推断的相关参数。为了说明我们的方法,对两个哺乳动物线粒体基因估计了TI/TV。对于26对细胞色素b序列,TI/TV的估计值为5.5;16对12s rRNA的估计值为9.5。这些估计值高于最大似然法给出的值,也高于通过对所有可能的成对比较求平均值(无论是否对多次替换进行双参数校正)得到的值。我们讨论了我们方法的优点、缺点和进一步的用途。

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