TY - JOUR
T1 - A computational model for microbial colonisation of an antifouling surface
AU - Sinclair, Patrick
AU - Longyear, Jennifer
AU - Reynolds, Kevin
AU - Finnie, Alistair A.
AU - Brackley, Chris
AU - Carballo Pacheco, Martin
AU - Allen, Rosalind
N1 - Funding Information:
This research was conducted as a collaboration between academic researchers and AkzoNobel, supported by an Engineering and Physical Sciences Research Council National Productivity Investment Fund PhD studentship awarded to PS. However no financial contribution was made by AkzoNobel to the project. L, KR, and AF were employed by International Paint Ltd/AkzoNobel. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Funding Information:
PS was supported by an EPSRC NPIF studentship, and RA and MC-P were funded by the European Research Council under Consolidator grant 682237 EVOSTRUC. RA acknowledges additional support from the National Biofilms Innovation Centre (BBSRC BB/R012415/1). RA was also supported by the Excellence Cluster Balance of the Microverse (EXC 2051 - Project-ID 390713860) funded by the Deutsche Forschungsgemeinschaft (DFG). CB was funded by the European Research Council under Consolidator Grant 648050 THREEDCELLPHYSICS. For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission.
Publisher Copyright:
Copyright © 2022 Sinclair, Longyear, Reynolds, Finnie, Brackley, Carballo-Pacheco and Allen.
PY - 2022/9/1
Y1 - 2022/9/1
N2 - Biofouling of marine surfaces such as ship hulls is a major industrial problem. Antifouling (AF) paints delay the onset of biofouling by releasing biocidal chemicals. We present a computational model for microbial colonisation of a biocide-releasing AF surface. Our model accounts for random arrival from the ocean of microorganisms with different biocide resistance levels, biocide-dependent proliferation or killing, and a transition to a biofilm state. Our computer simulations support a picture in which biocide-resistant microorganisms initially form a loosely attached layer that eventually transitions to a growing biofilm. Once the growing biofilm is established, immigrating microorganisms are shielded from the biocide, allowing more biocide-susceptible strains to proliferate. In our model, colonisation of the AF surface is highly stochastic. The waiting time before the biofilm establishes is exponentially distributed, suggesting a Poisson process. The waiting time depends exponentially on both the concentration of biocide at the surface and the rate of arrival of resistant microorganisms from the ocean. Taken together our results suggest that biofouling of AF surfaces may be intrinsically stochastic and hence unpredictable, but immigration of more biocide-resistant species, as well as the biological transition to biofilm physiology, may be important factors controlling the time to biofilm establishment.
AB - Biofouling of marine surfaces such as ship hulls is a major industrial problem. Antifouling (AF) paints delay the onset of biofouling by releasing biocidal chemicals. We present a computational model for microbial colonisation of a biocide-releasing AF surface. Our model accounts for random arrival from the ocean of microorganisms with different biocide resistance levels, biocide-dependent proliferation or killing, and a transition to a biofilm state. Our computer simulations support a picture in which biocide-resistant microorganisms initially form a loosely attached layer that eventually transitions to a growing biofilm. Once the growing biofilm is established, immigrating microorganisms are shielded from the biocide, allowing more biocide-susceptible strains to proliferate. In our model, colonisation of the AF surface is highly stochastic. The waiting time before the biofilm establishes is exponentially distributed, suggesting a Poisson process. The waiting time depends exponentially on both the concentration of biocide at the surface and the rate of arrival of resistant microorganisms from the ocean. Taken together our results suggest that biofouling of AF surfaces may be intrinsically stochastic and hence unpredictable, but immigration of more biocide-resistant species, as well as the biological transition to biofilm physiology, may be important factors controlling the time to biofilm establishment.
U2 - 10.3389/fmicb.2022.920014
DO - 10.3389/fmicb.2022.920014
M3 - Article
JO - Frontiers in Microbiology
JF - Frontiers in Microbiology
SN - 1664-302X
ER -