Cellular automaton for bacterial towers Export

@article{2004Indekeu, abstract = {A simulation approach to the stochastic growth of bacterial towers is presented, in which a non-uniform and finite nutrient supply essentially determines the emerging structure through elementary chemotaxis. The method is based on cellular automata and we use simple, microscopic, local rules for bacterial division in nutrient-rich surroundings. Stochastic nutrient diffusion, while not crucial to the dynamics of the total population, is influential in determining the porosity of the bacterial tower and the roughness of its surface. As the bacteria run out of food, we observe an exponentially rapid saturation to a carrying capacity distribution, similar in many respects to that found in a recently proposed phenomenological hierarchical population model, which uses heuristic parameters and macroscopic rules. Complementary to that phenomenological model, the simulation aims at giving more microscopic insight into the possible mechanisms for one of the recently much studied bacterial morphotypes, known as "towering biofilm", observed experimentally using confocal laser microscopy. A simulation suggesting a mechanism for biofilm resistance to antibiotics is also shown.}, author = {Indekeu, J. O. and Giuraniuc, C. V.}, booktitle = {Proceedings of the XVIII Max Born Symposium @'Statistical Physics outside Physics@'}, citeulike-article-id = {1215178}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.physa.2004.01.006}, citeulike-linkout-1 = {http://www.sciencedirect.com/science/article/B6TVG-4BMT8WW-8/2/a16eb5612d62715df6928d5b75ae94ce}, day = {1}, doi = {10.1016/j.physa.2004.01.006}, journal = {Physica A: Statistical and Theoretical Physics}, keywords = {automata, bacterial, biofilms, cellular, ch3, chemotaxis, refs\_ox, tower}, month = {May}, number = {1-2}, pages = {14--26}, posted-at = {2007-04-07 21:16:36}, priority = {2}, title = {Cellular automaton for bacterial towers}, url = {http://dx.doi.org/10.1016/j.physa.2004.01.006}, volume = {336}, year = {2004} }

TY - JOUR ID - 2004Indekeu L3 - citeulike-article-id:1215178 N2 - A simulation approach to the stochastic growth of bacterial towers is presented, in which a non-uniform and finite nutrient supply essentially determines the emerging structure through elementary chemotaxis. The method is based on cellular automata and we use simple, microscopic, local rules for bacterial division in nutrient-rich surroundings. Stochastic nutrient diffusion, while not crucial to the dynamics of the total population, is influential in determining the porosity of the bacterial tower and the roughness of its surface. As the bacteria run out of food, we observe an exponentially rapid saturation to a carrying capacity distribution, similar in many respects to that found in a recently proposed phenomenological hierarchical population model, which uses heuristic parameters and macroscopic rules. Complementary to that phenomenological model, the simulation aims at giving more microscopic insight into the possible mechanisms for one of the recently much studied bacterial morphotypes, known as "towering biofilm", observed experimentally using confocal laser microscopy. A simulation suggesting a mechanism for biofilm resistance to antibiotics is also shown. IS - 1-2 JF - Physica A: Statistical and Theoretical Physics EP - 26 TI - Cellular automaton for bacterial towers VL - 336 T2 - Proceedings of the XVIII Max Born Symposium @'Statistical Physics outside Physics@' SP - 14 KW - automata KW - bacterial KW - biofilms KW - cellular KW - ch3 KW - chemotaxis KW - refs_ox KW - tower AU - Indekeu, JO AU - Giuraniuc, CV PY - 2004/05/01/ UR - http://dx.doi.org/10.1016/j.physa.2004.01.006 ER -