On modeling complex collective behavior in myxobacteria

被引:1
|
作者
Jiang, Yi [1 ]
Sozinova, Olga
Alber, Mark
机构
[1] Los Alamos Natl Lab, Div Theoret, Los Alamos, NM 87545 USA
[2] Univ Notre Dame, Dept Math, Notre Dame, IN 46556 USA
[3] Univ Notre Dame, Ctr Study Biocomplex, Notre Dame, IN 46556 USA
来源
ADVANCES IN COMPLEX SYSTEMS | 2006年 / 9卷 / 04期
关键词
myxobacteria; collaborative behavior; cellular automata; pattern formation; complex systems; stochastic modeling;
D O I
10.1142/S0219525906000860
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
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 chernotaxis, 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.
引用
收藏
页码:353 / 367
页数:15
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