School of Mathematics and Statistics, University of St Andrews, St Andrews, Scotland.
Department of Mathematical Sciences "G. L. Lagrange", Politecnico di Torino, Turin, Italy.
Bull Math Biol. 2022 Nov 1;84(12):143. doi: 10.1007/s11538-022-01099-z.
The capacity to aggregate through chemosensitive movement forms a paradigm of self-organisation, with examples spanning cellular and animal systems. A basic mechanism assumes a phenotypically homogeneous population that secretes its own attractant, with the well known system introduced more than five decades ago by Keller and Segel proving resolutely popular in modelling studies. The typical assumption of population phenotypic homogeneity, however, often lies at odds with the heterogeneity of natural systems, where populations may comprise distinct phenotypes that vary according to their chemotactic ability, attractant secretion, etc. To initiate an understanding into how this diversity can impact on autoaggregation, we propose a simple extension to the classical Keller and Segel model, in which the population is divided into two distinct phenotypes: those performing chemotaxis and those producing attractant. Using a combination of linear stability analysis and numerical simulations, we demonstrate that switching between these phenotypic states alters the capacity of a population to self-aggregate. Further, we show that switching based on the local environment (population density or chemoattractant level) leads to diverse patterning and provides a route through which a population can effectively curb the size and density of an aggregate. We discuss the results in the context of real world examples of chemotactic aggregation, as well as theoretical aspects of the model such as global existence and blow-up of solutions.
通过化学敏感运动进行聚集的能力形成了自我组织的范例,其例子涵盖了细胞和动物系统。一个基本的机制假设是表型同质的群体分泌自己的趋化剂,Keller 和 Segel 在五十多年前引入的著名系统在模型研究中被证明非常受欢迎。然而,群体表型同质性的典型假设通常与自然系统的异质性不一致,在自然系统中,群体可能包含不同的表型,这些表型根据其趋化能力、趋化剂分泌等而变化。为了开始了解这种多样性如何影响自动聚集,我们对经典的 Keller 和 Segel 模型提出了一个简单的扩展,其中将群体分为两种不同的表型:进行趋化运动的表型和产生趋化剂的表型。我们使用线性稳定性分析和数值模拟的组合,证明了在这些表型状态之间切换会改变群体自我聚集的能力。此外,我们还表明,基于局部环境(种群密度或趋化剂水平)的切换会导致多样化的模式,并提供了一种途径,使种群能够有效地控制聚集的大小和密度。我们在趋化聚集的真实世界例子以及模型的理论方面(例如全局存在和解的爆炸)讨论了结果。