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HIV-1 O组的分子群体遗传学

The molecular population genetics of HIV-1 group O.

作者信息

Lemey Philippe, Pybus Oliver G, Rambaut Andrew, Drummond Alexei J, Robertson David L, Roques Pierre, Worobey Michael, Vandamme Anne-Mieke

机构信息

Rega Institute for Medical Research, KULeuven, B-3000 Leuven, Belgium.

出版信息

Genetics. 2004 Jul;167(3):1059-68. doi: 10.1534/genetics.104.026666.

Abstract

HIV-1 group O originated through cross-species transmission of SIV from chimpanzees to humans and has established a relatively low prevalence in Central Africa. Here, we infer the population genetics and epidemic history of HIV-1 group O from viral gene sequence data and evaluate the effect of variable evolutionary rates and recombination on our estimates. First, model selection tools were used to specify suitable evolutionary and coalescent models for HIV group O. Second, divergence times and population genetic parameters were estimated in a Bayesian framework using Markov chain Monte Carlo sampling, under both strict and relaxed molecular clock methods. Our results date the origin of the group O radiation to around 1920 (1890-1940), a time frame similar to that estimated for HIV-1 group M. However, group O infections, which remain almost wholly restricted to Cameroon, show a slower rate of exponential growth during the twentieth century, explaining their lower current prevalence. To explore the effect of recombination, the Bayesian framework is extended to incorporate multiple unlinked loci. Although recombination can bias estimates of the time to the most recent common ancestor, this effect does not appear to be important for HIV-1 group O. In addition, we show that evolutionary rate estimates for different HIV genes accurately reflect differential selective constraints along the HIV genome.

摘要

HIV-1 O组起源于猿猴免疫缺陷病毒从黑猩猩到人类的跨物种传播,在中非地区的流行率相对较低。在此,我们从病毒基因序列数据推断HIV-1 O组的群体遗传学和流行病史,并评估可变进化速率和重组对我们估计值的影响。首先,使用模型选择工具为HIV O组指定合适的进化和合并模型。其次,在严格和宽松分子钟方法下,使用马尔可夫链蒙特卡罗采样在贝叶斯框架中估计分歧时间和群体遗传参数。我们的结果将O组辐射的起源追溯到1920年左右(1890 - 1940年),这一时间框架与HIV-1 M组的估计时间相似。然而,几乎完全局限于喀麦隆的O组感染在20世纪显示出较慢的指数增长速度,这解释了其目前较低的流行率。为了探究重组的影响,将贝叶斯框架扩展以纳入多个不连锁的基因座。虽然重组可能会使对最近共同祖先时间的估计产生偏差,但这种影响对HIV-1 O组似乎并不重要。此外,我们表明不同HIV基因的进化速率估计准确反映了HIV基因组上不同的选择限制。

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