TWO COMPETENG MECHANISMS IN AGGREGATION OF DICTYOSTELIUM DISCOIDEUM
Abstract and keywords
Abstract (English):
In the present work, the hybrid cellular automaton model of the initial stages of aggregation of the cellular slime mold Dictyostelium discoideum, proposed by the authors earlier, is modified by taking into account the dependence of myxamoebae movement on the intracellular Ca2+ concentration. The cellular automaton is a three-dimensional grid the cells of which are either empty or contain one amoeba, the state of the automaton being determined by the distribution of amoebae over the grid. At each time step, the state of the automaton changes according to fixed rules which are determined by solutions to systems of equations that describe the distribution of aggregation factors in the medium and their concentrations inside cells. Movements of amoebae can be either directed along the concentration gradient of cyclic adenosine monophosphate, or random walk. The calculation results show that when the aggregate reaches a certain size its growth stops and the number of cells in it fluctuates around the average value. Such behavior suggests that aggregation is determined by two competing mechanisms: one promotes the growth of the aggregate while the other promotes detachment of cells or small clusters from it.

Keywords:
Dictyostelium, aggregation model, Ca2+–regulation, cellular automaton
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References

1. Devreotes P. Dictyostelium discoideum: a model system for cell-cell interactions in development. Science, 1989, vol. 245, no. 4922, pp. 1054-1058, doi:https://doi.org/10.1126/science.2672337.

2. Pears C.J., Gross J.D. Microbe Profile: Dictyostelium discoideum: model system for development, chemotaxis and biomedical research. Microbiology, 2021, vol. 167, no. 3, doi:https://doi.org/10.1099/mic.0.001040.

3. Schaap P. Evolutionary crossroads in developmental biology: Dictyostelium discoideum. Development, 2011, vol. 138, pp. 387-396, doi:https://doi.org/10.1242/dev.048934.

4. Dallon J.C. Numerical Aspects of Discrete and Continuum Hybrid Models in Cell Biology. Applied Numerical Mathematics, 2000, vol. 32, pp. 137-159, doi:https://doi.org/10.1016/S0168-9274(99)00021-5.

5. Loomis W.F. Cell signaling during development of Dictyostelium. Developmental Biology, 2014, vol. 391, pp. 1-16, doi:https://doi.org/10.1016/j.ydbio.2014.04.001.

6. Palsson E., Othmer H.G. A model for individual and collective cell movement in Dictyostelium discoideum. PNAS, 2000, vol. 97, no. 19, pp. 10448-10453, doi:https://doi.org/10.1073/pnas.97.19.10448.

7. Fates N. Solving the decentralised gathering problem with a reaction-diffusion-chemotaxis scheme. Swarm Intell., 2010, vol. 4, pp. 91-115, doi:https://doi.org/10.1007/s11721-010-0038-4.

8. Vasieva O.O., Vasiev B.N., Karpov V.A., Zaikin, A. A model of Dictyostelium discoideum aggregation. Journal of Theoretical Biology, 1994, vol. 171, no. 4, pp. 361-367, doi:https://doi.org/10.1006/jtbi.1994.1240.

9. Noorbakhsh J., Schwab D.J., Sgro A.E., Gregor T., Mehta P. Modeling oscillations and spiral waves in Dictyostelium populations. Phys. Rev. E Stat. Nonlin. Soft Matter Phys., 2015, vol. 91, no. 6, 062711, doi:https://doi.org/10.1103/PhysRevE.91.062711.

10. Kruchinin I.V., Yakovenko L.V. Computer model of the initial stages of aggregation of mixamoebae Dictyostelium discoideum. Uchyonyye Zapiski Fizicheskogo Fakulteta Moskovskogo Universiteta, 2021, no. 6, 2160701 (In Russ.)

11. Martiel J.L., Goldbeter A. A model based on receptor desensitization for cyclic AMP signaling in Dictyostelium cells. Biophys. J., 1987, vol. 52, no. 5, pp. 807-828, doi:https://doi.org/10.1016/S0006-3495(87)83275-7.

12. Malchow D., Lusche D.F., Schlatterer C. A link of Ca2+ to cAMP oscillations in Dictyostelium: the calmodulin antagonist W-7 potentiates cAMP relay and transiently inhibits the acidic Ca2+-store. BMC Developmental Biology, 2004, vol. 4, no.7, doi:https://doi.org/10.1186/1471-213X-4-7.


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