Front structure and dynamics in dense colonies of motile bacteria: Role of active turbulence

Chatterjee, Rayan; Joshi, Abhijeet; Perlekar, Prasad

doi:10.1103/physreve.94.022406

Cited by 5 publications

(6 citation statements)

References 38 publications

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“…Theories describing the formation and evolution of such meso-scale coherent structures in active systems have been a topic of active research in the past two decades [5][6][7][8][9][10][11][12]. It is known that the core features of these diverse phenomena can be modeled by taking into account just a few dynamical effects such as self-propulsion and inter-particle interactions [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…Active systems such as a flock of birds, a swarm of bacteria or active colloids form fascinating meso-scale structures with long-range order exceeding the sizes of individual agents by an order of magnitude or more [1][2][3][4][5]. Theories describing the formation and evolution of such meso-scale coherent structures in active systems have been a topic of active research in the past two decades [5][6][7][8][9][10][11][12]. It is known that the core features of these diverse phenomena can be modeled by taking into account just a few dynamical effects such as self-propulsion and inter-particle interactions [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

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Vortex dynamics and Lagrangian statistics in a model for active turbulence

James

Wilczek

2018

Eur. Phys. J. E

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Abstract. Cellular suspensions such as dense bacterial flows exhibit a turbulence-like phase under certain conditions. We study this phenomenon of "active turbulence" statistically by using numerical tools. Following Wensink et al. (Proc. Natl. Acad. Sci. U.S.A. 109, 14308 (2012)), we model active turbulence by means of a generalized Navier-Stokes equation. Two-point velocity statistics of active turbulence, both in the Eulerian and the Lagrangian frame, is explored. We characterize the scale-dependent features of two-point statistics in this system. Furthermore, we extend this statistical study with measurements of vortex dynamics in this system. Our observations suggest that the large-scale statistics of active turbulence is close to Gaussian with sub-Gaussian tails.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Vortex dynamics and Lagrangian statistics in a model for active turbulence

James

Wilczek

2018

Eur. Phys. J. E

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“…In addition, there exist other complex-life-like behaviors, e.g. turbulences under non-inertial conditions [7], huge density fluctuations [8] and orientational arrangements like liquid crystal molecules [9].…”

Section: Introductionmentioning

confidence: 99%

“…the collective motility of bacteria from different levels and aspects, i.e. focusing on the individual behavior among the groups, regarding the motion as a whole and monitoring them in both unrestricted spaces [7] and in micro channels similar to bacteria's living environment [8]. Kearns [23] wrote a comprehensive field guide to bacterial swarming motility.…”

Section: Introductionmentioning

confidence: 99%

Collective motion of bacteria and their dynamic assembly behavior

Feng

2017

Sci. China Mater.

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In recent years, active matter systems have attracted considerable attentions due to their complex dynamic behaviors in physical and material science. In particular, microorganism systems have served as model systems for observing dynamic assembly and collective motility of active particles and significant progresses have been made on in-depth understanding of how high density bacteria colony behaves in the non-equilibrium state. In this mini-review, we mainly focus on the collective motion of bacteria and their dynamic assembly from four aspects: (1) the general phenomenon and biological mechanism of bacterial collective motion; (2) the common experimental techniques for studying bacterial motility; (3) some active systems on exploring bacterial collective behavior, which include both non-restricted free suspensions and those in relative confined geometric space; (4) the phenomenological and descriptive statistical methods and physical models on the underlying laws that lead to large-scale coordinate patterns in multicellular systems. This review aims to give a general picture of the collective motion in bacterial active matter systems experimentally and theoretically in order to reflect the interplays between individuals among populations in motion. It is expected that the general regulation rules related to the boundary effects in the complex systems and materials can be elucidated to some extent.

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“…Several studies have incorporated the effect of the nutrient concentration and bacteria motility by coupling Eq. (1.1) with an additional equation for each of these variables to obtain different morphological patterns that were discussed above [4][5][6][7][8][9][10][11][33][34][35]. Studies designed to investigate the role of demographic noise use the stochastic variants of Eq.…”

Section: Introductionmentioning

confidence: 99%

Spreading of nonmotile bacteria on a hard agar plate: Comparison between agent-based and stochastic simulations

2017

Self Cite

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We study spreading of a non-motile bacteria colony on a hard agar plate by using agent-based and continuum models. We show that the spreading dynamics depends on the initial nutrient concentration, the motility and the inherent demographic noise. Population fluctuations are inherent in an agent based model whereas, for the continuum model we model them by using a stochastic Langevin equation. We show that the intrinsic population fluctuations coupled with non-linear diffusivity lead to a transition from Diffusion Limited Aggregation (DLA) type morphology to an Eden-like morphology on decreasing the initial nutrient concentration.

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Front structure and dynamics in dense colonies of motile bacteria: Role of active turbulence

Cited by 5 publications

References 38 publications

Vortex dynamics and Lagrangian statistics in a model for active turbulence

Vortex dynamics and Lagrangian statistics in a model for active turbulence

Collective motion of bacteria and their dynamic assembly behavior

Spreading of nonmotile bacteria on a hard agar plate: Comparison between agent-based and stochastic simulations

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