title: Hierarchical population model with a carrying capacity distribution for bacterial biofilms.
abstract: In order to describe biological colonies with a conspicuous hierarchical structure, a time- and space-discrete model for the growth of a rapidly saturating local biological population N(x,t) is derived from a hierarchical random deposition process previously studied in statistical physics. Two biologically relevant parameters, the probabilities of birth, B, and of death, D, determine the carrying capacity K. Due to the randomness the population depends strongly on position x and there is a distribution of carrying capacities, Pi(K). This distribution has self-similar character owing to the exponential slowing down of the growth, assumed in this hierarchical model. The most probable carrying capacity and its probability are studied as a function of B and D. The effective growth rate decreases with time, roughly as in a Verhulst process. The model is possibly applicable, for example, to bacteria forming a "towering pillar" biofilm, a structure poorly described by standard Eden or diffusion-limited-aggregation models. The bacteria divide on randomly distributed nutrient-rich regions and are exposed to a random local bactericidal agent (antibiotic spray). A gradual overall temperature or chemical change away from optimal growth conditions reduces bacterial reproduction, while biofilm development degrades antimicrobial susceptibility, causing stagnation into a stationary state.
authors.affiliation: Laboratory for Solid-State Physics and Magnetism, Katholieke Universiteit Leuven, Leuven, Belgium.
authors.forename: J O
authors.initials: JO
authors.lastname: Indekeu
authors.forename: K
authors.initials: K
authors.lastname: Sznajd-Weron
mesh_terms: D018407:Bacterial Physiological Phenomena; D018441:Biofilms; D055592:Biophysical Phenomena; D001703:Biophysics; D002455:Cell Division; D003247:Conservation of Natural Resources; D017709:Fractals; D008962:Models, Theoretical; D011157:Population Dynamics; D011336:Probability; D013696:Temperature; D013997:Time Factors