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基于限制性内切酶图谱和DNA序列数据推断的单倍型与表型关联的分支系统分析。III. 分支图估计。

A cladistic analysis of phenotypic associations with haplotypes inferred from restriction endonuclease mapping and DNA sequence data. III. Cladogram estimation.

作者信息

Templeton A R, Crandall K A, Sing C F

机构信息

Department of Biology, Washington University, St. Louis, Missouri 63130.

出版信息

Genetics. 1992 Oct;132(2):619-33. doi: 10.1093/genetics/132.2.619.

Abstract

We previously developed a cladistic approach to identify subsets of haplotypes defined by restriction endonuclease mapping or DNA sequencing that are associated with significant phenotypic deviations. Our approach was limited to segments of DNA in which little recombination occurs. In such cases, a cladogram can be constructed from the restriction site or sequence data that represents the evolutionary steps that interrelate the observed haplotypes. The cladogram is used to define a nested statistical design to identify mutational steps associated with significant phenotypic deviations. The central assumption behind this strategy is that any undetected mutation causing a phenotypic effect is embedded within the same evolutionary history that is represented by the cladogram. The power of this approach depends upon the confidence one has in the particular cladogram used to draw inferences. In this paper, we present a strategy for estimating the set of cladograms that are consistent with a particular sample of either restriction site or nucleotide sequence data and that includes the possibility of recombination. We first evaluate the limits of parsimony in constructing cladograms. Once these limits have been determined, we construct the set of parsimonious and nonparsimonious cladograms that is consistent with these limits. Our estimation procedure also identifies haplotypes that are candidates for being products of recombination. If recombination is extensive, our algorithm subdivides the DNA region into two or more subsections, each having little or no internal recombination. We apply this estimation procedure to three data sets to illustrate varying degrees of cladogram ambiguity and recombination.

摘要

我们先前开发了一种分支分类方法,用于识别由限制性内切酶图谱或DNA测序定义的单倍型子集,这些子集与显著的表型偏差相关。我们的方法仅限于重组很少发生的DNA片段。在这种情况下,可以根据代表观察到的单倍型相互关联的进化步骤的限制性位点或序列数据构建系统发育树。系统发育树用于定义一个嵌套统计设计,以识别与显著表型偏差相关的突变步骤。该策略背后的核心假设是,任何导致表型效应的未检测到的突变都嵌入在由系统发育树代表的相同进化历史中。这种方法的效力取决于对用于进行推断的特定系统发育树的信心。在本文中,我们提出了一种策略,用于估计与限制性位点或核苷酸序列数据的特定样本一致且包括重组可能性的系统发育树集合。我们首先评估构建系统发育树时简约性的限度。一旦确定了这些限度,我们就构建与这些限度一致的简约和非简约系统发育树集合。我们的估计程序还识别作为重组产物候选的单倍型。如果重组广泛,我们的算法会将DNA区域细分为两个或更多子部分,每个子部分内部很少或没有重组。我们将此估计程序应用于三个数据集,以说明系统发育树模糊性和重组的不同程度。

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