A modeling and simulation study of siderophore mediated antagonism in dual-species biofilms.
BACKGROUND
Several bacterial species possess chelation mechanisms that allow them to scavenge iron from the environment under conditions of limitation. To this end they produce siderophores that bind the iron and make it available to the cells later on, while rendering it unavailable to other organisms. The phenomenon of siderophore mediated antagonism has been studied to some extent for suspended populations where it was found that the chelation ability provides a growth advantage over species that do not have this possibility. However, most bacteria live in biofilm communities. In particular Pseudomonas fluorescens and Pseudomonas putida, the species that have been used in most experimental studies of the phenomenon, are known to be prolific biofilm formers, but only very few experimental studies of iron chelation have been published to date for the biofilm setting. We address this question in the present study.


METHODS
Based on a previously introduced model of iron chelation and an existing model of biofilm growth we formulate a model for iron chelation and competition in dual species biofilms. This leads to a highly nonlinear system of partial differential equations which is studied in computer simulation experiments.


CONCLUSIONS
(i) Siderophore production can give a growth advantage also in the biofilm setting, (ii) diffusion facilitates and emphasizes this growth advantage, (iii) the magnitude of the growth advantage can also depend on the initial inoculation of the substratum, (iv) a new mass transfer boundary condition was derived that allows to a priori control the expect the expected average thickness of the biofilm in terms of the model parameters.
Eberl
Hermann J
HJ
Department of Mathematics and Statistics, University of Guelph, Guelph, On, Canada. heberl@uoguelph.ca
Collinson
Shannon
S
D001422:Bacterial Adhesion / Q000187:drug effects; D018441:Biofilms / Q000187:drug effects / Q000254:growth & development*; D018533:Biomass; D002614:Chelating Agents / Q000494:pharmacology; D015169:Colony Count, Microbial; D003198:Computer Simulation; D004058:Diffusion / Q000187:drug effects; D008954:Models, Biological; D011549:Pseudomonas / Q000166:cytology / Q000187:drug effects / Q000502:physiology*; D017262:Siderophores / Q000378:metabolism*; D013045:Species Specificity
D002614:Chelating Agents; D017262:Siderophores