Dynamical strategies for obstacle avoidance during Dictyostelium discoideum aggregation: a Multi-agent system model

Dynamical strategies for obstacle avoidance during Dictyostelium discoideum aggregation: a Multi-agent system model
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盘基网柄菌聚集过程中避障的动态策略:多智能体系统模型

DOI:
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发表时间:
2019
期刊:
影响因子:
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通讯作者:
M. Maggiora
M. Maggiora
中科院分区:
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文献类型:
--
作者:
Daniele Proverbio;M. Maggiora

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趋化性,即生物体在化学刺激下的运动,是许多微生物系统的典型特征。特别是社会性变形虫\textit{盘状Disctyostelium disideum}被广泛用作模式生物,但它在异质环境中的行为尚不清楚。一些专注于机械特性的模型已经解决了这个问题;然而,我们认为关注种群动态的现象学模型可能提供新的有意义的数据。因此,通过一个特定的多智能体系统模型,我们研究了属于阿米巴群体的个体之间复杂的社会互动所产生的动态特征。\\ 在定义了一个适当的度量来定量估计聚集过程后,我们发现:a)障碍物起局部拓扑摄动的作用,因为它们改变了化学信号的通量;B)物理障碍(阻碍细胞运动和化学流动)和纯化学障碍(只干扰化学流动)引起相似的动力学行为;C)稳健收集模拟细胞的最小程序不涉及障碍物感知和回避机制;D)动力学的波动同时阻止了多个稳定的群集。将这些发现与先前的结果进行比较,我们推测趋化细胞可以通过简单地遵循改变的化学梯度来避开障碍物。社会互动足以保证整个蚁群的聚集越过无数障碍。
Chemotaxis, the movement of an organism in response to chemical stimuli, is a typical feature of many microbiological systems. In particular, the social amoeba \textit{Disctyostelium discoideum} is widely used as a model organism, but it is not still clear how it behaves in heterogeneous environments. A few models focusing on mechanical features have already addressed the question; however, we suggest that phenomenological models focusing on the population dynamics may provide new meaningful data. Consequently, by means of a specific Multi-agent system model, we study the dynamical features emerging from complex social interactions among individuals belonging to amoeba colonies.\\ After defining an appropriate metric to quantitatively estimate the gathering process, we find that: a) obstacles play the role of local topological perturbation, as they alter the flux of chemical signals; b) physical obstacles (blocking the cellular motion and the chemical flux) and purely chemical obstacles (only interfering with chemical flux) elicit similar dynamical behaviors; c) a minimal program for robustly gathering simulated cells does not involve mechanisms for obstacle sensing and avoidance; d) fluctuations of the dynamics concur in preventing multiple stable clusters. Comparing those findings with previous results, we speculate about the fact that chemotactic cells can avoid obstacles by simply following the altered chemical gradient. Social interactions are sufficient to guarantee the aggregation of the whole colony past numerous obstacles.
对盘基网柄菌聚集体中的细胞运动、细胞分化、细胞分选和比例调节进行建模。
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