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一种用于衡量水平基因转移的似然性框架。

A likelihood framework to measure horizontal gene transfer.

作者信息

Linz Simone, Radtke Achim, von Haeseler Arndt

机构信息

Department of Bioinformatics, Heinrich-Heine-University, Düsseldorf, Germany.

出版信息

Mol Biol Evol. 2007 Jun;24(6):1312-9. doi: 10.1093/molbev/msm052. Epub 2007 Mar 20.

Abstract

We suggest a likelihood-based approach to estimate an overall rate of horizontal gene transfer (HGT) in a simplified setting. To this end, we assume that the number of occurring HGT events within a given time interval follows a Poisson process. To obtain estimates for the rate of HGT, we simulate the distribution of tree topologies for different numbers of HGT events on a clocklike species tree. Using these simulated distributions, we estimate an HGT rate for a collection of gene trees representing a set of taxa. As an illustrative example, we use the "Clusters of Orthologous Groups of proteins" (COGs). We also perform a correction of the estimated rate taking into account the inaccuracies due to gene tree reconstructions. The results suggest a corrected HGT rate of about 0.36 per gene and unit time, in other words 11 HGT events have occurred on average among the 44 taxa of the COG species tree. A software package to estimate an HGT rate is available online (http://www.cibiv.at/software/hgt/).

摘要

我们提出一种基于似然性的方法,在简化的情况下估计水平基因转移(HGT)的总体速率。为此,我们假设在给定时间间隔内发生的HGT事件数量遵循泊松过程。为了获得HGT速率的估计值,我们在类似时钟的物种树上模拟不同数量HGT事件的树拓扑分布。利用这些模拟分布,我们估计代表一组分类单元的基因树集合的HGT速率。作为一个说明性例子,我们使用“蛋白质直系同源簇”(COG)。我们还考虑到基因树重建导致的不准确性对估计速率进行校正。结果表明,校正后的HGT速率约为每基因和单位时间0.36,换句话说,在COG物种树的44个分类单元中平均发生了11次HGT事件。一个用于估计HGT速率的软件包可在线获取(http://www.cibiv.at/software/hgt/)。

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