Self-organizing models of bacterial aggregation states
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1.
Dipartimento di Scienze Microbiologiche Genetiche e Molecolari, Università di Messina, Salita Sperone, 31 I-98166 Villaggio S. Agata, Messina
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2.
Dipartimento di Ingegneria Elettrica Elettronica e dei Sistemi, Facoltà di Ingegneria, Università degli Studi di Catania, viale A. Doria 6, 95125 Catania
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3.
Dipartimento di Scienze Chimiche, Università degli Studi di Catania, Viale A. Doria, 6, 95125 Catania
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Received:
01 July 2007
Accepted:
29 June 2018
Published:
01 January 2008
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MSC :
Primary: 93C10, 81T80; Secondary: 46N60.
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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.
Citation: Manuela Caratozzolo, Santina Carnazza, Luigi Fortuna, Mattia Frasca, Salvatore Guglielmino, Giovanni Gurrieri, Giovanni Marletta. Self-organizing models of bacterial aggregation states[J]. Mathematical Biosciences and Engineering, 2008, 5(1): 75-83. doi: 10.3934/mbe.2008.5.75
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Abstract
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.
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