ON MODELING COMPLEX COLLECTIVE BEHAVIOR IN MYXOBACTERIA

Yi Jiang (), Olga Sozinova () and Mark Alber ()
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Yi Jiang: Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
Olga Sozinova: Department of Mathematics and Center for the Study of Biocomplexity, University of Notre Dame, Notre Dame, IN 46556, USA
Mark Alber: Department of Mathematics and Center for the Study of Biocomplexity, University of Notre Dame, Notre Dame, IN 46556, USA

Advances in Complex Systems (ACS), 2006, vol. 09, issue 04, 353-367

Abstract: This paper reviews recent progress in modeling collective behaviors in myxobacteria using lattice gas cellular automata approach (LGCA). Myxobacteria are social bacteria that swarm, glide on surfaces and feed cooperatively. When starved, tens of thousands of cells change their movement pattern from outward spreading to inward concentration; they form aggregates that become fruiting bodies. Cells inside fruiting bodies differentiate into round, nonmotile, environmentally resistant spores. Traditionally, cell aggregation has been considered to imply chemotaxis, a long-range cell interaction. However, myxobacteria aggregation is the consequence of direct cell-contact interactions, not chemotaxis. In this paper, we review biological LGCA models based on local cell–cell contact signaling that have reproduced the rippling, streaming, aggregating and sporulation stages of the fruiting body formation in myxobacteria.

Keywords: Myxobacteria; collaborative behavior; cellular automata; pattern formation; complex systems; stochastic modeling (search for similar items in EconPapers)
Date: 2006
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DOI: 10.1142/S0219525906000860

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