Literature DB >> 30155779

Counter-propagating wave patterns in a swarm model with memory.

Angelika Manhart1.   

Abstract

Hyperbolic transport-reaction equations are abundant in the description of movement of motile organisms. Here, we focus on a system of four coupled transport-reaction equations that arises from an age-structuring of a species of turning individuals. By modeling how the behavior depends on the time since the last reversal, we introduce a memory effect. The highlight consists of the explicit construction and characterization of counter-propagating traveling waves, patterns which have been observed in bacterial colonies. Stability analysis reveals conditions for the wave formation as well as pulsating-in-time spatially constant solutions.

Keywords:  Age-structured equations; Hyperbolic equations; Myxobacteria; Pattern formation; Traveling waves; Viscous limit; Wave formation

Year:  2018        PMID: 30155779     DOI: 10.1007/s00285-018-1287-x

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


  12 in total

1.  Pattern formation and traveling waves in myxobacteria: theory and modeling.

Authors:  O A Igoshin; A Mogilner; R D Welch; D Kaiser; G Oster
Journal:  Proc Natl Acad Sci U S A       Date:  2001-12-18       Impact factor: 11.205

2.  Complex spatial group patterns result from different animal communication mechanisms.

Authors:  R Eftimie; G de Vries; M A Lewis
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-16       Impact factor: 11.205

3.  A one-dimensional model of cell diffusion and aggregation, incorporating volume filling and cell-to-cell adhesion.

Authors:  K Anguige; C Schmeiser
Journal:  J Math Biol       Date:  2008-06-18       Impact factor: 2.259

Review 4.  Hyperbolic and kinetic models for self-organized biological aggregations and movement: a brief review.

Authors:  Raluca Eftimie
Journal:  J Math Biol       Date:  2011-07-01       Impact factor: 2.259

5.  Wavenumber selection in coupled transport equations.

Authors:  Arnd Scheel; Angela Stevens
Journal:  J Math Biol       Date:  2017-02-21       Impact factor: 2.259

6.  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

7.  Intercellular C-signaling and the traveling waves of Myxococcus.

Authors:  B Sager; D Kaiser
Journal:  Genes Dev       Date:  1994-12-01       Impact factor: 11.361

8.  Are diffusion models too simple? a comparison with telegraph models of invasion.

Authors:  E E Holmes
Journal:  Am Nat       Date:  1993-11       Impact factor: 3.926

Review 9.  Modelling complex biological systems using an agent-based approach.

Authors:  Mike Holcombe; Salem Adra; Mesude Bicak; Shawn Chin; Simon Coakley; Alison I Graham; Jeffrey Green; Chris Greenough; Duncan Jackson; Mariam Kiran; Sheila MacNeil; Afsaneh Maleki-Dizaji; Phil McMinn; Mark Pogson; Robert Poole; Eva Qwarnstrom; Francis Ratnieks; Matthew D Rolfe; Rod Smallwood; Tao Sun; David Worth
Journal:  Integr Biol (Camb)       Date:  2011-11-03       Impact factor: 2.192

10.  Agent-based modeling: case study in cleavage furrow models.

Authors:  Alex Mogilner; Angelika Manhart
Journal:  Mol Biol Cell       Date:  2016-11-07       Impact factor: 4.138

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