2011
DOI: 10.1142/s0218202511005386
|View full text |Cite
|
Sign up to set email alerts
|

Waves for a Hyperbolic Keller–segel Model and Branching Instabilities

Abstract: Recent experiments for swarming of the bacteria Bacillus subtilis on nutrient-rich media show that these cells are able to proliferate and spread out in colonies exhibiting complex patterns as dendritic ramifications. Is it possible to explain this process with a model that does not use local nutrient depletion? We present a new class of models which is compatible with the experimental observations and which predict branching instabilities and does not use nutrient limitation. These conclusions are based on n… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
9
0

Year Published

2011
2011
2017
2017

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 16 publications
(9 citation statements)
references
References 22 publications
0
9
0
Order By: Relevance
“…37,38,45,81,83,95 However, in the previous phenomenological model (2.4) one of the most important features in the last years is related to the blow-up of solutions whose connection with real process behaviors needs to be explained, while following Refs. 33 and 43, one should design models where the propagation of cell populations is made by fronts and singularities.…”
Section: Phenomenological Macroscopic Models and Their Possible Connementioning
confidence: 99%
“…37,38,45,81,83,95 However, in the previous phenomenological model (2.4) one of the most important features in the last years is related to the blow-up of solutions whose connection with real process behaviors needs to be explained, while following Refs. 33 and 43, one should design models where the propagation of cell populations is made by fronts and singularities.…”
Section: Phenomenological Macroscopic Models and Their Possible Connementioning
confidence: 99%
“…Instabilities here rely on the introduction of a nonlinear diffusion coefficient (Kawasaki et al 1997;Mimura et al 2000) or to a limitation in the rate of transition from the bacteria active (i.e., motile and proliferative) state to the passive one (Matsushita et al 1998). Such models may also include a chemotactic term (Cerretti et al 2011;Marrocco et al 2010), combining signals from a chemorepellent and a chemoattractant (to prevent overcrowding, while keeping the cells together).…”
Section: Introductionmentioning
confidence: 99%
“…The logistic sensitivity µ c (1 − n/n max ) takes into account a volume filling (or quorum sensing) effect, i.e., a reduction of the cell response to the chemo-attractant (whose concentration is denoted by c), which prevents overcrowding [10,19,20]. The special form at hand has been proposed in [5] as a reduced model for a more detailed system to study complex patterns as the dendritic ramification of Bacillus subtilis, recently obtained with high nutrient experiments in [11,12,14], whereas pattern formation based on local nutrient depletion is also possible [16,8,17]. It includes a chemo-repellent of concentration S (that can be interpreted as the effect of surfactin) with a constant sensitivity µ S .…”
Section: Introductionmentioning
confidence: 99%
“…The repellent force ∇S can generate surprising dynamics of the plateaus and branching instabilities may occur. This was shown in [5], and the instability could be analyzed for D S small, because the limiting system with D S = 0 can be recast as an hyperbolic system according to a method introduced in [13]. Then, stability/instability of discontinuities can be seen as a transition from shock to rarefaction waves.…”
Section: Introductionmentioning
confidence: 99%