2021
DOI: 10.1080/1539445x.2021.1887220
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In-silico modeling of early-stage biofilm formation

Abstract: Several bacteria and bacteria strands form biofilms in different environmental conditions, e.g. pH, temperature, nutrients, etc. Biofilm growth, therefore, is an extremely robust process. Because of this, while biofilm growth is a complex process affected by several variables, insights into biofilm formation could be obtained studying simple schematic models. In this manuscript, we describe a hybrid molecular dynamics and Monte Carlo model for the simulation of the early stage formation of a biofilm, to explic… Show more

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Cited by 7 publications
(6 citation statements)
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“…The sparseness value is larger for colonies with higher cell motility forces. The underlying reason of compact to sparse colony organization with increasing values of motility can be understood by considering two velocities [36]: (i) a growth-induced velocity ( v g ) and (ii) the self-propeling velocity ( v mot ) and their competition. For larger values of motility force, self-propulsion velocity v mot dominates over v g , developing more sparse colony with less order compared to the smaller values of motility force where v g dominate over v mot .…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The sparseness value is larger for colonies with higher cell motility forces. The underlying reason of compact to sparse colony organization with increasing values of motility can be understood by considering two velocities [36]: (i) a growth-induced velocity ( v g ) and (ii) the self-propeling velocity ( v mot ) and their competition. For larger values of motility force, self-propulsion velocity v mot dominates over v g , developing more sparse colony with less order compared to the smaller values of motility force where v g dominate over v mot .…”
Section: Resultsmentioning
confidence: 99%
“…On the other hand, in a dense bacterial colony, where mechanical interactions among the bacterial cells and the surroundings appear to be a crucial factor in driving the colony expansion and morphogenesis, alternative approaches have been employed to gain insights at the mesoscopic level interactions among the components. In this context, several studies have utilized agent-based/particle-based models or a hybrid type model which can capture the individual-level interactions among the bacterial cells inside a colony [18, 19, 30, 36, 37]. Although these pre-existing studies illuminate several aspects of the occurence of collective phases, a considerable effort is needed to understand the influence of the two significant aspects of a growing bacterial colony: cell motility and physicochemical properties of self-produced EPS.…”
Section: Introductionmentioning
confidence: 99%
“…In this context, several studies have utilized agent-based/particlebased models or a hybrid type model which can capture the individual-level interactions among the bacterial cells inside a colony. 22,23,34,42,43 Although these pre-existing studies illuminate several aspects of the occurrence of collective phases, considerable effort is needed to understand the influence of the two significant aspects of a growing bacterial colony: cell motility and physicochemical properties of self-produced EPS. In particular, how and to what extent these two aspects in conjugation with each other regulate the microcolony morphogenesis is yet to be explored.…”
Section: Introductionmentioning
confidence: 99%
“…Bacteria are a well-known example of living active matter that exhibit a variety of complex morphodynamics in their lifestyles. They can show a broad spectrum of nonequilibrium collective phenomena, such as patterned colonies, [1][2][3][4][5][6][7] biofilm formation, [8][9][10][11][12][13][14][15][16] swarming, and turbulent motions, [17][18][19][20][21] depending on the species and environmental conditions. The interplay of growth, division, motions, and local interactions of individual components plays a crucial role in controlling such phenomena.…”
Section: Introductionmentioning
confidence: 99%