平均场相互作用的多类型生死过程在系统动力学中的应用。

IF 1.2 4区 生物学 Q4 ECOLOGY Theoretical Population Biology Pub Date : 2024-07-15 DOI:10.1016/j.tpb.2024.07.002
William S. DeWitt , Steven N. Evans , Ella Hiesmayr , Sebastian Hummel
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引用次数: 0

摘要

从深时物种宏观进化到快速病毒进化和体细胞增殖,多种类型的出生-死亡过程是从系统发育树推断跨生物尺度进化动态的基础方法。目前的系统发育出生-死亡模型的局限性在于,它们需要限制性的线性假设,这些假设可以产生可控的信息传递可能性,但也排除了个体之间的相互作用。许多基本的进化过程--如环境承载力或频率依赖性选择--都包含相互作用,并可能对某些系统的动力学产生重大影响。在这里,我们引入了一个多类型的出生-死亡过程,该过程与焦点过程的集合复制发生均场相互作用。我们证明,在相当一般的条件下,在无限集合的极限中,集合随机演化的相互作用场会收敛到确定性轨迹。在这一极限中,复制品有效解耦,自洽的相互作用作为非线性出现在焦点过程的无限小发生器中。我们研究了一个特例,它的丰富程度足以模拟承载能力和频率依赖性选择,同时在系统发育出生-死亡模型的背景下产生可处理的信息传递似然。
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Mean-field interacting multi-type birth–death processes with a view to applications in phylodynamics

Multi-type birth–death processes underlie approaches for inferring evolutionary dynamics from phylogenetic trees across biological scales, ranging from deep-time species macroevolution to rapid viral evolution and somatic cellular proliferation. A limitation of current phylogenetic birth–death models is that they require restrictive linearity assumptions that yield tractable message-passing likelihoods, but that also preclude interactions between individuals. Many fundamental evolutionary processes – such as environmental carrying capacity or frequency-dependent selection – entail interactions, and may strongly influence the dynamics in some systems. Here, we introduce a multi-type birth–death process in mean-field interaction with an ensemble of replicas of the focal process. We prove that, under quite general conditions, the ensemble’s stochastically evolving interaction field converges to a deterministic trajectory in the limit of an infinite ensemble. In this limit, the replicas effectively decouple, and self-consistent interactions appear as nonlinearities in the infinitesimal generator of the focal process. We investigate a special case that is rich enough to model both carrying capacity and frequency-dependent selection while yielding tractable message-passing likelihoods in the context of a phylogenetic birth–death model.

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来源期刊
Theoretical Population Biology
Theoretical Population Biology 生物-进化生物学
CiteScore
2.50
自引率
14.30%
发文量
43
审稿时长
6-12 weeks
期刊介绍: An interdisciplinary journal, Theoretical Population Biology presents articles on theoretical aspects of the biology of populations, particularly in the areas of demography, ecology, epidemiology, evolution, and genetics. Emphasis is on the development of mathematical theory and models that enhance the understanding of biological phenomena. Articles highlight the motivation and significance of the work for advancing progress in biology, relying on a substantial mathematical effort to obtain biological insight. The journal also presents empirical results and computational and statistical methods directly impinging on theoretical problems in population biology.
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