过度拥挤
稳健性(进化)
背景(考古学)
群体感应
生物系统
有限体积法
计算机科学
统计物理学
趋化性
机械
物理
生物
古生物学
生物化学
遗传学
受体
生物膜
基因
细菌
经济
经济增长
作者
Kevin J. Painter,Thomas Hillen
摘要
Chemotaxis is one of many mechanisms used by cells and organisms to navigate through the environment, and has been found on scales varying from the microscopic to the macroscopic. Chemotactic movement has also attracted a great deal of computational and modelling attention. Some of the continuum models are unstable in the sense that they can lead to finite time blow-up, or “overcrowding” scenarios. Cell overcrowding is unrealistic from a biological context, as it ignores the finite size of individual cells and the behaviour of cells at higher densities. We have previously presented a mathematical model of chemotaxis incorporating density dependence that precludes blow-up from occurring, [19]. In this paper, we consider a number of approaches by which such equations can arise based on biologically realistic mechanisms, including the finite size of individual cells “volume filling” and the employment of cell density sensing mechanisms “quorum-sensing”. We show the existence of nontrivial steady states and we study the traveling wave problem for these models. A comprehensive numerical exploration of the model reveals a wide variety of interesting pattern forming properties. Finally we turn our attention to the robustness of patterning under domain growth, and discuss some potential applications of the model.
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