Literature DB >> 3411255

Models of dispersal in biological systems.

H G Othmer1, S R Dunbar, W Alt.   

Abstract

In order to provide a general framework within which the dispersal of cells or organisms can be studied, we introduce two stochastic processes that model the major modes of dispersal that are observed in nature. In the first type of movement, which we call the position jump or kangaroo process, the process comprises a sequence of alternating pauses and jumps. The duration of a pause is governed by a waiting time distribution, and the direction and distance traveled during a jump is fixed by the kernel of an integral operator that governs the spatial redistribution. Under certain assumptions concerning the existence of limits as the mean step size goes to zero and the frequency of stepping goes to infinity the process is governed by a diffusion equation, but other partial differential equations may result under different assumptions. The second major type of movement leads to what we call a velocity jump process. In this case the motion consists of a sequence of "runs" separated by reorientations, during which a new velocity is chosen. We show that under certain assumptions this process leads to a damped wave equation called the telegrapher's equation. We derive explicit expressions for the mean squared displacement and other experimentally observable quantities. Several generalizations, including the incorporation of a resting time between movements, are also studied. The available data on the motion of cells and other organisms is reviewed, and it is shown how the analysis of such data within the framework provided here can be carried out.

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Year:  1988        PMID: 3411255     DOI: 10.1007/bf00277392

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


  16 in total

1.  Statistical measures of bacterial motility and chemotaxis.

Authors:  P S Lovely; F W Dahlquist
Journal:  J Theor Biol       Date:  1975-04       Impact factor: 2.691

2.  The helical filaments of the thin flagella that propel bacteria do not wave or beat but instead rotate rigidly like propellers! And they are driven by a reversible rotary motor at their base.

Authors:  H C Berg
Journal:  Sci Am       Date:  1975-08       Impact factor: 2.142

3.  Local movement in herbivorous insects: applying a passive diffusion model to mark-recapture field experiments.

Authors:  P M Kareiva
Journal:  Oecologia       Date:  1983-03       Impact factor: 3.225

4.  Trajectories of human granulocytes.

Authors:  R L Hall; S C Peterson
Journal:  Biophys J       Date:  1979-02       Impact factor: 4.033

5.  A descriptive theory of cell migration on surfaces.

Authors:  R Nossal; G H Weiss
Journal:  J Theor Biol       Date:  1974-09       Impact factor: 2.691

6.  The locomotion of mouse fibroblasts in tissue culture.

Authors:  M H Gail; C W Boone
Journal:  Biophys J       Date:  1970-10       Impact factor: 4.033

7.  Amoeboid movement as a correlated walk.

Authors:  R L Hall
Journal:  J Math Biol       Date:  1977-10-20       Impact factor: 2.259

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

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

9.  Characterising a kinesis response: time averaged measures of cell speed and directional persistence.

Authors:  G A Dunn
Journal:  Agents Actions Suppl       Date:  1983

10.  Chemotaxis in Spirochaeta aurantia.

Authors:  E P Greenberg; E Canale-Parola
Journal:  J Bacteriol       Date:  1977-04       Impact factor: 3.490

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  117 in total

1.  Regulation of the actin cycle in vivo by actin filament severing.

Authors:  J L McGrath; E A Osborn; Y S Tardy; C F Dewey; J H Hartwig
Journal:  Proc Natl Acad Sci U S A       Date:  2000-06-06       Impact factor: 11.205

2.  A jump persistent turning walker to model zebrafish locomotion.

Authors:  Violet Mwaffo; Ross P Anderson; Sachit Butail; Maurizio Porfiri
Journal:  J R Soc Interface       Date:  2015-01-06       Impact factor: 4.118

3.  Modeling the role of myosin 1c in neuronal growth cone turning.

Authors:  Feng-Song Wang; Can-Wen Liu; Thomas J Diefenbach; Daniel G Jay
Journal:  Biophys J       Date:  2003-11       Impact factor: 4.033

4.  Cell balance equation for chemotactic bacteria with a biphasic tumbling frequency.

Authors:  Kevin C Chen; Roseanne M Ford; Peter T Cummings
Journal:  J Math Biol       Date:  2003-06-12       Impact factor: 2.259

5.  The evolution of dispersal.

Authors:  V Hutson; S Martinez; K Mischaikow; G T Vickers
Journal:  J Math Biol       Date:  2003-05-15       Impact factor: 2.259

6.  Models of collective cell behaviour with crowding effects: comparing lattice-based and lattice-free approaches.

Authors:  Michael J Plank; Matthew J Simpson
Journal:  J R Soc Interface       Date:  2012-06-13       Impact factor: 4.118

7.  A multiscale maximum entropy moment closure for locally regulated space-time point process models of population dynamics.

Authors:  Michael Raghib; Nicholas A Hill; Ulf Dieckmann
Journal:  J Math Biol       Date:  2010-05-06       Impact factor: 2.259

8.  Navigating the flow: individual and continuum models for homing in flowing environments.

Authors:  Kevin J Painter; Thomas Hillen
Journal:  J R Soc Interface       Date:  2015-11-06       Impact factor: 4.118

9.  How animals move along? Exactly solvable model of superdiffusive spread resulting from animal's decision making.

Authors:  Paulo F C Tilles; Sergei V Petrovskii
Journal:  J Math Biol       Date:  2015-12-09       Impact factor: 2.259

10.  Derivation of a bacterial nutrient-taxis system with doubly degenerate cross-diffusion as the parabolic limit of a velocity-jump process.

Authors:  Ramón G Plaza
Journal:  J Math Biol       Date:  2019-01-02       Impact factor: 2.259

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