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Beneficial mutations in lytic viruses: Probabilities of fixation and adaptation rates.

机译:裂解病毒的有益突变:固定和适应率的概率。

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摘要

Lytic viruses are obligate parasites whose adaptation rates have attracted considerable scientific interest, as they are a key model organism in experimental evolution. Adaptation experiments using these viruses are characterized by growth, mutation, and periodic sampling (population bottlenecks) that ultimately influence the fate of a rare beneficial mutation.;We first assume that the host-cell density is constant, and compute the fixation probability for mutations that increase the attachment rate, decrease the lysis time, increase the burst size, or reduce the probability of clearance. The fixation probability of these four types of beneficial mutations can be vastly different. We also explored mutations that affect lysis time, assuming that the burst size is constrained by the lysis time. For all mechanisms of mutational action explored, we predict that the fixation probability of beneficial alleles is remarkably sensitive to the time between population bottlenecks.;We then incorporate two important features of host-cell dynamics - the possibility of clearance or death of an infected cell before lysis, and the possibility of changing host-cell density. We compute the fixation probabilities of rare alleles that confer reproductive benefit through either an increase in attachment rate or burst size, or a reduction in lysis time. We find that host-cell clearance significantly reduces the fixation probabilities of all types of beneficial mutations, having the largest impact on mutations that reduce the lysis time, but has only modest effects on the pattern of fixation probabilities previously observed. We further predict that exponential growth of the host-cell population preferentially selects for mutations that affect burst size or lysis time, and exacerbates the sensitive dependence of fixation probabilities on the time between population bottlenecks. Even when burst size and lysis time are constrained to vary together, our results suggest that lytic viruses should readily adapt to optimize these traits to the timing between population bottlenecks.;We also estimate the substitution rate, the rate at which beneficial mutations occur and fix, in populations of lytic viruses whose growth is controlled by periodic population bottlenecks. Our model predicts that substitution rates, and by extension adaptation rates, are profoundly affected by the survival of infected host cells at the bottleneck. In particular we find that environmental bottlenecks, in which some fraction of both free virus and host cells are preserved, are associated with relatively slow adaptation rates for the virus. In contrast, viruses can adapt much more quickly when only free virus is transfered to a new host population, as is typical in an epidemiological setting. Finally, when premature lysis of the host-cell population is induced at the bottleneck, we predict that adaptation rates for the virus will, in general, be faster still. These results hold irrespective of the life-history trait affected by the beneficial mutation. The substitution rates in the presence of environmental bottlenecks are predicted to be as much as an order of magnitude lower than in the other two cases.;The goal of this research has been to study the adaptation rates and fixation probabilities of beneficial mutations of lytic viruses, and the impact of the environment on these probabilities. To achieve this goal, we first develop a life-history model for lytic viruses. The model first assumes that attachment times are exponentially distributed, but that the lysis time, the time between attachment and host-cell lysis, is constant. We include the possibility that clearance may occur at a constant rate, for example through washout in a chemostat. Our model predictions are extremely sensitive to the assumptions regarding the organism's life history.;Keywords: Life-history; lytic virus; population bottlenecks; experimental evolution; host dynamics; lysis time; branching process.
机译:裂解病毒是专性寄生虫,其适应率吸引了相当大的科学兴趣,因为它们是实验进化中的关键模型生物。使用这些病毒的适应性实验的特征在于生长,突变和周期性采样(种群瓶颈),这些最终会影响罕见的有益突变的命运。我们首先假设宿主细胞密度恒定,然后计算突变的固定概率从而增加了附着率,减少了裂解时间,增加了突发量或降低了清除的可能性这四种类型的有益突变的固定概率可能相差很大。我们还探讨了影响裂解时间的突变,假设爆发大小受裂解时间限制。对于探索的所有突变作用机制,我们预测有益等位基因的固定概率对种群瓶颈之间的时间非常敏感。;然后,我们结合了宿主细胞动力学的两个重要特征-被感染细胞清除或死亡的可能性裂解前,以及改变宿主细胞密度的可能性。我们计算通过增加附着率或爆发大小或减少裂解时间而赋予生殖益处的稀有等位基因的固定概率。我们发现宿主细胞清除显着降低了所有类型有益突变的固定概率,对减少裂解时间的突变影响最大,但对先前观察到的固定概率模式仅产生适度的影响。我们进一步预测,宿主细胞群体的指数增长会优先选择影响爆发大小或裂解时间的突变,并加剧固定概率对种群瓶颈之间时间的敏感依赖性。即使限制爆发大小和裂解时间一起变化,我们的结果也表明,裂解病毒应易于适应以优化这些特征以适应种群瓶颈之间的时间。;我们还估计了替代率,有益突变发生和修复的速率,其溶解性病毒种群的增长受周期性种群瓶颈控制。我们的模型预测,受感染宿主细胞在瓶颈处的存活率会极大地影响替代率和扩展适应率。特别是,我们发现环境瓶颈(其中保留了一部分游离病毒和宿主细胞)与病毒的适应速度相对较慢有关。相反,如流行病学中的典型情况,当仅将游离病毒转移到新的宿主种群时,病毒可以更快地适应。最后,当在瓶颈处诱导宿主细胞群的过早裂解时,我们预测病毒的适应率通常仍会更快。这些结果与受有益突变影响的生活史特征无关。预测存在环境瓶颈的情况下的替代率将比其他两种情况低一个数量级。这项研究的目的是研究溶菌病毒有益突变的适应率和固定概率以及环境对这些概率的影响。为了实现这一目标,我们首先开发了裂解病毒的生命历史模型。该模型首先假定附着时间呈指数分布,但裂解时间(即附着和宿主细胞裂解之间的时间)是恒定的。我们包括清除率可能以恒定速率发生的可能性,例如通过在恒化器中冲洗掉。我们的模型预测对有关生物的生命史的假设极为敏感。溶解性病毒人口瓶颈;实验进化主机动态;裂解时间分支过程。

著录项

  • 作者单位

    The University of Western Ontario (Canada).;

  • 授予单位 The University of Western Ontario (Canada).;
  • 学科 Applied Mathematics.;Biology Virology.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 162 p.
  • 总页数 162
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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