American Institute of Mathematical Sciences

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2008, 5(1): 75-83. doi: 10.3934/mbe.2008.5.75

Self-organizing models of bacterial aggregation states

Manuela Caratozzolo 1, , Santina Carnazza 1, , Luigi Fortuna 2, , Mattia Frasca 2, , Salvatore Guglielmino 1, , Giovanni Gurrieri 2, and  Giovanni Marletta 3,

1. 

Dipartimento di Scienze Microbiologiche Genetiche e Molecolari, Università di Messina, Salita Sperone, 31 I-98166 Villaggio S. Agata, Messina, Italy, Italy, Italy
2. 

Dipartimento di Ingegneria Elettrica Elettronica e dei Sistemi, Facoltà di Ingegneria, Università degli Studi di Catania, viale A. Doria 6, 95125 Catania, Italy
3. 

Dipartimento di Scienze Chimiche, Università degli Studi di Catania, Viale A. Doria, 6, 95125 Catania, Italy

Received  July 2007 Revised  November 2007 Published  January 2008

In this work, aggregation states of bacteria on engineered surfaces are investigated both from the experimental point of view and from the theo- retical one. The starting point of this work is a series of experiments carried out on abiotic surfaces in which bacteria adhere forming self-organized patterns. To reproduce the main characteristics of the phenomenon a model based on self-organization of a group of agents has been used. The agents represent bac- teria and are free to move on a given surface. On the basis of local rules they may adhere and then eventually form self-organized aggregates. Our numerical results demonstrate that few simple rules are able to explain the emergence of self-organized patterns. Depending on the parameters used, the model is able to reproduce the aggregation patterns observed under different experimental conditions and to predict the behavior of a culture of two bacterial species.
Keywords: self-organization, biological systems., agent-based models.
Mathematics Subject Classification: Primary: 93C10, 81T80; Secondary: 46N6.
Citation: Manuela Caratozzolo, Santina Carnazza, Luigi Fortuna, Mattia Frasca, Salvatore Guglielmino, Giovanni Gurrieri, Giovanni Marletta. Self-organizing models of bacterial aggregation states. Mathematical Biosciences & Engineering, 2008, 5 (1) : 75-83. doi: 10.3934/mbe.2008.5.75
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