Literature DB >> 20037760

Traveling wave solutions from microscopic to macroscopic chemotaxis models.

Roger Lui1, Zhi An Wang.   

Abstract

In this paper, we study the existence and nonexistence of traveling wave solutions for the one-dimensional microscopic and macroscopic chemotaxis models. The microscopic model is based on the velocity jump process of Othmer et al. (SIAM J Appl Math 57:1044-1081, 1997). The macroscopic model, which can be shown to be the parabolic limit of the microscopic model, is the classical Keller-Segel model, (Keller and Segel in J Theor Biol 30:225-234; 377-380, 1971). In both models, the chemosensitivity function is given by the derivative of a potential function, Phi(v), which must be unbounded below at some point for the existence of traveling wave solutions. Thus, we consider two examples: Phi(v) = ln V and Phi(v) = ln[v/(1 - v)]. The mathematical problem reduces to proving the existence or nonexistence of solutions to a nonlinear boundary value problem with variable coefficient on R. The main purpose of this paper is to identify the relationships between the two models through their traveling waves, from which we can observe how information are lost, retained, or created during the transition from the microscopic model to the macroscopic model. Moreover, the underlying biological implications of our results are discussed.

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Year:  2010        PMID: 20037760     DOI: 10.1007/s00285-009-0317-0

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  12 in total

Review 1.  Overview of mathematical approaches used to model bacterial chemotaxis II: bacterial populations.

Authors:  M J Tindall; P K Maini; S L Porter; J P Armitage
Journal:  Bull Math Biol       Date:  2008-07-19       Impact factor: 1.758

Review 2.  A user's guide to PDE models for chemotaxis.

Authors:  T Hillen; K J Painter
Journal:  J Math Biol       Date:  2008-07-15       Impact factor: 2.259

3.  Existence and nature of band solutions to generic chemotactic transport equations.

Authors:  G Rosen
Journal:  J Theor Biol       Date:  1976-06       Impact factor: 2.691

4.  Model for the chemotactic response of a bacterial population.

Authors:  I R Lapidus; R Schiller
Journal:  Biophys J       Date:  1976-07       Impact factor: 4.033

5.  Models of dispersal in biological systems.

Authors:  H G Othmer; S R Dunbar; W Alt
Journal:  J Math Biol       Date:  1988       Impact factor: 2.259

6.  Model for chemotaxis.

Authors:  E F Keller; L A Segel
Journal:  J Theor Biol       Date:  1971-02       Impact factor: 2.691

7.  Traveling bands of chemotactic bacteria: a theoretical analysis.

Authors:  E F Keller; L A Segel
Journal:  J Theor Biol       Date:  1971-02       Impact factor: 2.691

8.  Initiation of slime mold aggregation viewed as an instability.

Authors:  E F Keller; L A Segel
Journal:  J Theor Biol       Date:  1970-03       Impact factor: 2.691

9.  Biased random walk models for chemotaxis and related diffusion approximations.

Authors:  W Alt
Journal:  J Math Biol       Date:  1980-04       Impact factor: 2.259

Review 10.  Making all the right moves: chemotaxis in neutrophils and Dictyostelium.

Authors:  Carole A Parent
Journal:  Curr Opin Cell Biol       Date:  2004-02       Impact factor: 8.382

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  2 in total

1.  Bacterial chemotaxis without gradient-sensing.

Authors:  Changwook Yoon; Yong-Jung Kim
Journal:  J Math Biol       Date:  2014-05-28       Impact factor: 2.259

2.  Travelling wave analysis in chemotaxis: case of starvation.

Authors:  P M Tchepmo Djomegni
Journal:  Springerplus       Date:  2016-06-29
  2 in total

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