English, Article edition: ON MODELING COMPLEX COLLECTIVE BEHAVIOR IN MYXOBACTERIA YI JIANG; OLGA SOZINOVA; MARK ALBER

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Bookmark: http://trove.nla.gov.au/version/143993
Physical Description
  • article
Language
  • English

Edition details

Title
  • ON MODELING COMPLEX COLLECTIVE BEHAVIOR IN MYXOBACTERIA
Author
  • YI JIANG
  • OLGA SOZINOVA
  • MARK ALBER
Physical Description
  • article
Notes
  • 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 cellâcell contact signaling that have reproduced the rippling, streaming, aggregating and sporulation stages of the fruiting body formation in myxobacteria.
  • Myxobacteria, collaborative behavior, cellular automata, pattern formation, complex systems, stochastic modeling
  • RePEc:wsi:acsxxx:v:09:y:2006:i:04:p:353-367
Language
  • English
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