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人类免疫缺陷病毒在选择和弱重组作用下的进化

Evolution of human immunodeficiency virus under selection and weak recombination.

作者信息

Rouzine I M, Coffin J M

机构信息

School of Medicine, Tufts University, Boston, Massachusetts 02111, USA.

出版信息

Genetics. 2005 May;170(1):7-18. doi: 10.1534/genetics.104.029926. Epub 2005 Mar 2.

Abstract

To predict emergence of drug resistance in patients undergoing antiretroviral therapy, we study accumulation of preexisting beneficial alleles in a haploid population of N genomes. The factors included in the model are selection with the coefficient s and recombination with the small rate per genome r (r << s sqrt of k, where k is the average number of less-fit loci per genome). Mutation events are neglected. To describe evolution at a large number of linked loci, we generalize the analytic method we developed recently for an asexual population. We show that the distribution of genomes over the deleterious allele number moves in time as a "solitary wave" that is quasi-deterministic in the middle (on the average) but has stochastic edges. We arrive at a single-locus expression for the average accumulation rate, in which the effects of linkage, recombination, and random drift are all accounted for by the effective selection coefficient s lnNr/lnNs(2)k/r. At large N, the effective selection coefficient approaches the single-locus value s. Below the critical size N(c) approximately 1/r, a population eventually becomes a clone, recombination cannot produce new sequences, and virus evolution stops. Taking into account finite mutation rate predicts a small, finite rate of evolution at N < N(c). We verify the accuracy of the results analytically and by Monte Carlo simulation. On the basis of our findings, we predict that partial depletion of the HIV population by combined anti-retroviral therapy can suppress emergence of drug-resistant strains.

摘要

为预测接受抗逆转录病毒治疗患者中耐药性的出现,我们研究了N个基因组的单倍体群体中预先存在的有益等位基因的积累情况。模型中考虑的因素包括选择系数s和每个基因组以小速率r(r << s√k,其中k是每个基因组中适应性较差位点的平均数量)进行的重组。忽略突变事件。为描述大量连锁位点的进化,我们推广了最近为无性群体开发的分析方法。我们表明,基因组在有害等位基因数量上的分布随时间移动,如同一个“孤立波”,其在中间部分(平均而言)是准确定性的,但边缘具有随机性。我们得出了平均积累速率的单一位点表达式,其中连锁、重组和随机漂变的影响都由有效选择系数s lnNr/lnNs(2)k/r来体现。在N较大时,有效选择系数接近单一位点值s。在临界大小N(c)约为1/r以下时,群体最终会变成一个克隆,重组无法产生新序列,病毒进化停止。考虑有限突变率可预测在N < N(c)时存在一个小的、有限的进化速率。我们通过分析和蒙特卡罗模拟验证了结果的准确性。基于我们的研究结果,我们预测联合抗逆转录病毒疗法对HIV群体的部分清除可抑制耐药菌株的出现。

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