Error thresholds in the presence of epistatic interactions.

IF 2.4 3区 物理与天体物理 Q1 Mathematics Physical review. E Pub Date : 2024-11-01 DOI:10.1103/PhysRevE.110.054412
D A Herrera-Martí
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引用次数: 0

Abstract

Models for viral populations with high replication error rates (such as RNA viruses) rely on the quasispecies concept, in which mutational pressure beyond the so-called "error threshold" leads to a loss of essential genetic information and population collapse, an effect known as the "error catastrophe." We explain how crossing this threshold, as a result of increasing mutation rates, can be understood as a second-order phase transition, even in the presence of lethal mutations. In particular, we show that, in fitness landscapes with a single peak, this collapse is equivalent to a ferroparamagnetic transition, where the back-mutation rate plays the role of the external magnetic field. We then generalize this framework to rugged fitness landscapes, like the ones that arise from epistatic interactions, and provide numerical evidence that there is a transition from a high average fitness regime to a low average fitness one, similarly to single-peaked landscapes. The onset of the transition is heralded by a sudden change in the susceptibility to variations in the mutation rate. We use insight from replica symmetry breaking mechanisms in spin glasses, in particular by considering the fluctuations of the genotype similarity distribution as the order parameter.

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上位相互作用下的错误阈值。
具有高复制错误率的病毒种群(如RNA病毒)的模型依赖于准物种概念,在准物种概念中,超过所谓“错误阈值”的突变压力导致基本遗传信息的丢失和种群崩溃,这种效应被称为“错误灾难”。我们解释了如何越过这个阈值,作为增加突变率的结果,可以被理解为二级相变,即使在存在致命突变的情况下。特别是,我们表明,在单峰适应度景观中,这种坍塌相当于铁顺磁跃迁,其中反突变率起着外磁场的作用。然后,我们将这一框架推广到崎岖的适应性景观,就像那些由上位相互作用产生的景观一样,并提供数值证据,证明存在从高平均适应性状态到低平均适应性状态的过渡,类似于单峰景观。这种转变的开始是由突变率变异的易感性的突然变化所预示的。我们利用自旋玻璃中复制对称性破缺机制的洞察力,特别是通过考虑基因型相似分布的波动作为序参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Physical review. E
Physical review. E 物理-物理:流体与等离子体
CiteScore
4.60
自引率
16.70%
发文量
0
审稿时长
3.3 months
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
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