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

摘要: Chemotaxis, the movement of an organism in response to chemical stimuli, is a typical feature many microbiological systems. In particular, social amoeba \textit{Disctyostelium discoideum} widely used as model organism, but it not still clear how behaves heterogeneous environments. A few models focusing on mechanical features have already addressed question; however, we suggest that phenomenological population dynamics may provide new meaningful data. Consequently, by means specific Multi-agent system model, study dynamical emerging from complex interactions among individuals belonging colonies.\\ After defining appropriate metric quantitatively estimate gathering process, find that: a) obstacles play role local topological perturbation, they alter flux signals; b) physical (blocking cellular motion and flux) purely (only interfering with elicit similar behaviors; c) minimal program for robustly simulated cells does involve mechanisms obstacle sensing avoidance; d) fluctuations concur preventing multiple stable clusters. Comparing those findings previous results, speculate about fact chemotactic can avoid simply following altered gradient. Social are sufficient guarantee aggregation whole colony past numerous obstacles.