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同源重组对细菌多样性产生的影响。

The impact of homologous recombination on the generation of diversity in bacteria.

作者信息

Hanage William P, Fraser Christophe, Spratt Brian G

机构信息

Department of Infectious Disease Epidemiology, St. Mary's Hospital Campus, Imperial College London, London W2 1PG, UK.

出版信息

J Theor Biol. 2006 Mar 21;239(2):210-9. doi: 10.1016/j.jtbi.2005.08.035. Epub 2005 Oct 19.

Abstract

The imprint of demographic and selective processes on bacterial population structure needs to be evaluated as deviation from the expectations of an appropriate null neutral model. We explore the impact of varying the population mutation and recombination rates theta and rho on ideal populations, using a recently developed model of neutral drift at multiple loci. This model may be fitted to experimental data to provide estimates of these parameters, and we do so for seven bacterial species (Neisseria meningitidis, Streptococcus pneumoniae, Streptococcus pyogenes, Staphylococcus aureus, Helicobacter pylori, Burkholderia pseudomallei and Bacillus cereus), illustrating that bacterial species vary extensively in these fundamental parameters. Historically, the influence of recombination has often been estimated through its influence on the Index of Association I(A). We show that this may be relatively insensitive to changes in either mutation or recombination rates. It is known that biased sampling can lead to artificially high estimates of I(A). We therefore provide a method of precisely separating the effects of such bias and true linkage between alleles. We also demonstrate that by fitting the neutral model to experimental data, more informative and precise estimates of the relative roles of recombination and mutation may be obtained.

摘要

需要将人口统计学和选择过程对细菌种群结构的影响评估为偏离适当的零中性模型预期的情况。我们使用最近开发的多基因座中性漂变模型,探讨了改变种群突变率和重组率θ和ρ对理想种群的影响。该模型可以拟合实验数据以提供这些参数的估计值,我们对七种细菌物种(脑膜炎奈瑟菌、肺炎链球菌、化脓性链球菌、金黄色葡萄球菌、幽门螺杆菌、类鼻疽伯克霍尔德菌和蜡样芽孢杆菌)进行了这样的操作,结果表明这些细菌物种在这些基本参数上差异很大。从历史上看,重组的影响通常是通过其对关联指数I(A)的影响来估计的。我们表明,这可能对突变率或重组率的变化相对不敏感。已知有偏抽样会导致对I(A)的人为高估。因此,我们提供了一种精确分离这种偏差和等位基因之间真实连锁效应的方法。我们还证明,通过将中性模型拟合到实验数据,可以获得关于重组和突变相对作用的更丰富、更精确的估计值。

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