A structured-population model of Proteus mirabilis swarm-colony development

被引:35
作者
Ayati, BP [1 ]
机构
[1] So Methodist Univ, Dept Math, Dallas, TX 75205 USA
关键词
Proteus mirabilis; swarm colony; age structure; space structure; partial differential equations;
D O I
10.1007/s00285-005-0345-3
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this paper we present continuous age- and space-structured models and numerical computations of Proteus mirabilis swarm-colony development. We base the mathematical representation of the cell-cycle dynamics of Proteus mirabilis on those developed by Esipov and Shapiro, which are the best understood aspects of the system, and we make minimum assumptions about less-understood mechanisms, such as precise forms of the spatial diffusion. The models in this paper have explicit age-structure and, when solved numerically, display both the temporal and spatial regularity seen in experiments, whereas the Esipov and Shapiro model, when solved accurately, shows only the temporal regularity. The composite hyperbolic-parabolic partial differential equations used to model Proteus mirabilis swarm-colony development are relevant to other biological systems where the spatial dynamics depend on local physiological structure. We use computational methods designed for such systems, with known convergence properties, to obtain the numerical results presented in this paper.
引用
收藏
页码:93 / 114
页数:22
相关论文
共 49 条
[1]  
[Anonymous], 2003, MATH BIOL 2 SPATIAL
[2]  
Aronson D.G., 1985, Lecture Notes in Biomathematics, V57, P2
[3]  
Ayati BP, 2005, MATH COMPUT, V74, P1053, DOI 10.1090/S0025-5718-04-01696-5
[4]   Galerkin methods in age and space for a population model with nonlinear diffusion [J].
Ayati, BP ;
Dupont, TF .
SIAM JOURNAL ON NUMERICAL ANALYSIS, 2002, 40 (03) :1064-1076
[5]   A variable time step method for an age-dependent population model with nonlinear diffusion [J].
Ayati, BP .
SIAM JOURNAL ON NUMERICAL ANALYSIS, 2000, 37 (05) :1571-1589
[6]   Modelling and mathematical problems related to tumor evolution and its interaction with the immune system [J].
Bellomo, N ;
Preziosi, L .
MATHEMATICAL AND COMPUTER MODELLING, 2000, 32 (3-4) :413-452
[7]   Cell kinetics in a tumour cord [J].
Bertuzzi, A ;
Gandolfi, A .
JOURNAL OF THEORETICAL BIOLOGY, 2000, 204 (04) :587-599
[8]   Spatial dynamics in model plant communities: What do we really know? [J].
Bolker, BM ;
Pacala, SW ;
Neuhauser, C .
AMERICAN NATURALIST, 2003, 162 (02) :135-148
[9]   A CLASS OF NON-LINEAR DIFFUSION-PROBLEMS IN AGE-DEPENDENT POPULATION-DYNAMICS [J].
BUSENBERG, S ;
IANNELLI, M .
NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS, 1983, 7 (05) :501-529
[10]  
CHIU C, 1990, DIFFERENTIAL INTEGRA, V3, P767