scholarly journals Generating constrained run-and-tumble trajectories

2021 ◽  
Author(s):  
Benjamin De Bruyne ◽  
Satya N Majumdar ◽  
Gregory Schehr
Keyword(s):  
Run And Tumble

scholarly journals Modelling and analysis of bacterial tracks suggest an active reorientation mechanism in Rhodobacter sphaeroides

2014 ◽  
Vol 11 (97) ◽  
pp. 20140320 ◽  
Author(s):  
Gabriel Rosser ◽  
Ruth E. Baker ◽  
Judith P. Armitage ◽  
Alexander G. Fletcher
Keyword(s):  
Rhodobacter Sphaeroides ◽  
Computational Algorithm ◽  
Rotational Diffusion ◽  
Particle Model ◽  
Cell Geometry ◽  
Brownian Rotation ◽  
Swimming Bacteria ◽  
Run And Tumble ◽  
Open Question ◽  
Straight Lines

Most free-swimming bacteria move in approximately straight lines, interspersed with random reorientation phases. A key open question concerns varying mechanisms by which reorientation occurs. We combine mathematical modelling with analysis of a large tracking dataset to study the poorly understood reorientation mechanism in the monoflagellate species Rhodobacter sphaeroides . The flagellum on this species rotates counterclockwise to propel the bacterium, periodically ceasing rotation to enable reorientation. When rotation restarts the cell body usually points in a new direction. It has been assumed that the new direction is simply the result of Brownian rotation. We consider three variants of a self-propelled particle model of bacterial motility. The first considers rotational diffusion only, corresponding to a non-chemotactic mutant strain. Two further models incorporate stochastic reorientations, describing ‘run-and-tumble’ motility. We derive expressions for key summary statistics and simulate each model using a stochastic computational algorithm. We also discuss the effect of cell geometry on rotational diffusion. Working with a previously published tracking dataset, we compare predictions of the models with data on individual stopping events in R. sphaeroides . This provides strong evidence that this species undergoes some form of active reorientation rather than simple reorientation by Brownian rotation.

scholarly journals Run-and-tumble bacteria slowly approaching the diffusive regime

2020 ◽  
Vol 101 (6) ◽  
Author(s):  
Andrea Villa-Torrealba ◽  
Cristóbal Chávez-Raby ◽  
Pablo de Castro ◽  
Rodrigo Soto
Keyword(s):  
Diffusive Regime ◽  
Run And Tumble

scholarly journals A computational model for bacterial run-and-tumble motion

2019 ◽  
Vol 150 (17) ◽  
pp. 174111 ◽  
Author(s):  
Miru Lee ◽  
Kai Szuttor ◽  
Christian Holm
Keyword(s):  
Computational Model ◽  
Run And Tumble

scholarly journals Correction: Guided run-and-tumble active particles: wall accumulation and preferential deposition

Soft Matter ◽  
2022 ◽  
Author(s):  
Chamkor Singh
Keyword(s):  
Soft Matter ◽  
Active Particles ◽  
Run And Tumble

Correction for ‘Guided run-and-tumble active particles: wall accumulation and preferential deposition’ by Chamkor Singh, Soft Matter, 2021, 17, 8858–8866, DOI: 10.1039/D1SM00775K.

scholarly journals Cooperation of two opposite flagella allows high-speed swimming and active turning in zoospores

2021 ◽  
Author(s):  
Quang D. Tran ◽  
Eric Galiana ◽  
Philippe Thomen ◽  
Céline Cohen ◽  
François Orange ◽  
...  
Keyword(s):  
Host Plant ◽  
High Speed ◽  
Plant Pathogens ◽  
Plant Diseases ◽  
Active Process ◽  
Motility Pattern ◽  
Anterior Flagellum ◽  
Active Turning ◽  
Posterior Flagellum ◽  
Run And Tumble

Phytophthora species cause diseases in a large variety of plants and represent a serious agricultural threat, leading, every year, to multibillion dollar losses. Infection occurs when these biflagellated zoospores move across the soil at their characteristic high speed and reach the roots of a host plant. Despite the relevance of zoospore spreading in the epidemics of plant diseases, it is not known how these zoospores swim and steer with two opposite beating flagella. Here, combining experiments and modeling, we show how these two flagella contribute to generate thrust when beating together, and identify the mastigonemes-attached anterior flagellum as the main source of thrust. Furthermore, we find that steering involves a complex active process, in which the posterior flagellum is stopped, while the anterior flagellum keeps on beating, as the zoospore reorients its body. Our study is a fundamental step towards a better understanding of the spreading of plant pathogens’ motile forms, and shows that the motility pattern of these biflagellated zoospores represents a distinct eukaryotic version of the celebrated “run-and-tumble” motility class exhibited by peritrichous bacteria.

scholarly journals Spatial modulation of individual behaviors enables collective decision-making during bacterial group migration

2021 ◽  
Author(s):  
Yang Bai ◽  
Caiyun He ◽  
Junjiajia Long ◽  
Xuefei Li ◽  
Xiongfei Fu
Keyword(s):  
Group Performance ◽  
Spatial Modulation ◽  
Microbial Populations ◽  
Collective Behaviors ◽  
Dynamic Stimuli ◽  
Consistent Group ◽  
Run And Tumble ◽  
Migratory Patterns ◽  
The Individual ◽  
Group Migration

AbstractCoordination of individuals with diversity often requires sophisticated communications and high-order computational abilities. Microbial populations can exhibit diverse individualistic behaviors and yet can engage in collective migratory patterns with a spatially sorted arrangement of phenotypes following a self-generated attractant gradient. However, it’s unclear how individual bacteria without complex computational abilities can achieve the consistent group performance and determine their positions in the group while facing spatiotemporally dynamic stimuli. Here, we investigate the statistics of bacterial run-and-tumble trajectories during group migration. We discover that, despite of the constant migrating speed as a group, the individual drift velocity exhibits a spatially dependent structure that decreases from the back to the front of the group. The spatial modulation of individual stochastic behaviors constrains cells in the group, ensuring the coherent population movement with ordered patterns of phenotypes. These results reveal a simple computational principle for emergent collective behaviors from heterogeneous individuals.

scholarly journals The convex hull of the run-and-tumble particle in a plane

2020 ◽  
Vol 2020 (5) ◽  
pp. 053401
Author(s):  
Alexander K Hartmann ◽  
Satya N Majumdar ◽  
Hendrik Schawe ◽  
Grégory Schehr
Keyword(s):  
Convex Hull ◽  
Run And Tumble

scholarly journals Langevin equations for the run-and-tumble of swimming bacteria

Soft Matter ◽  
2018 ◽  
Vol 14 (19) ◽  
pp. 3945-3954 ◽  
Author(s):  
G. Fier ◽  
D. Hansmann ◽  
R. C. Buceta
Keyword(s):  
Langevin Equations ◽  
Turning Angle ◽  
Change Of Direction ◽  
Swimming Bacteria ◽  
Run And Tumble

The run and tumble motions of a swimming bacterium are well characterized by two stochastic variables: the speed v(t) and the change of direction or deflection x(t) = cos φ(t), where φ(t) is the turning angle at time t.

scholarly journals Optimized Diffusion of Run-and-Tumble Particles in Crowded Environments

2018 ◽  
Vol 120 (19) ◽  
Author(s):  
Thibault Bertrand ◽  
Yongfeng Zhao ◽  
Olivier Bénichou ◽  
Julien Tailleur ◽  
Raphaël Voituriez
Keyword(s):  
Run And Tumble ◽  
Crowded Environments
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