Swarming bacteria migrate by Lévy Walk
TLDR
By tracking trajectories of fluorescently labelled individuals within such dense swarms, it is found that the bacteria are performing super-diffusion, consistent with Lévy walks.Abstract:
Levy walks have been found in the motion of large animals such as birds and fish in search of sparsely and randomly distributed food. Here, Ariel et al. observe, by tracking long-duration trajectories of fluorescently labelled bacteria, similar walks in bacterial swarms for the first time.read more
Citations
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Collective motion and density fluctuations in bacterial colonies
TL;DR: In this paper, the authors report simultaneous measurements of the positions, velocities, and orientations of up to a thousand wild-type Bacillus subtilis bacteria in a colony.
Journal ArticleDOI
A statistical physics view of swarming bacteria.
Avraham Be'er,Gil Ariel +1 more
TL;DR: This review presents a physical point of view of swarming bacteria, with an emphasis on the statistical properties of the swarm dynamics as observed in experiments, and suggests a paradigm according to which bacteria have optimized some of their physical properties as a strategy for rapid surface translocation.
Journal ArticleDOI
Neuronal messenger ribonucleoprotein transport follows an aging Lévy walk.
TL;DR: Experimental and theoretical evidence is reported that the active transport dynamics of neuronal mRNPs, which is distinct from the previously reported motor-driven transport, follows an aging Lévy walk, and a predictive theoretical model for neuronal mRNP transport is provided.
Journal ArticleDOI
Current status and future directions of Lévy walk research.
TL;DR: Movement patterns resembling Lévy walks are found in a wide variety of organisms, from cells to humans, and in the latest research into their origins and biological significance is discussed.
Journal ArticleDOI
Learning the space-time phase diagram of bacterial swarm expansion.
Hannah Jeckel,Hannah Jeckel,Hannah Jeckel,Eric Jelli,Eric Jelli,Raimo Hartmann,Praveen K. Singh,Rachel Mok,Jan Frederik Totz,Lucia Vidakovic,Bruno Eckhardt,Joern Dunkel,Knut Drescher,Knut Drescher +13 more
TL;DR: This work combines a high-throughput adaptive microscopy approach with machine learning, to identify key biological and physical mechanisms that determine distinct microscopic and macroscopic collective behavior phases which develop as Bacillus subtilis swarms expand over five orders of magnitude in space.
References
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