3D Spatial Exploration by E. coli Echoes Motor Temporal Variability

Unraveling bacterial strategies for spatial exploration is crucial for understanding the complexity in the organization of life. Bacterial motility determines the spatiotemporal structure of microbial and controls infection spreading and the microbiota organization in guts or in soils. Most theoreti...

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Autores principales: Nuris Figueroa-Morales, Rodrigo Soto, Gaspard Junot, Thierry Darnige, Carine Douarche, Vincent A. Martinez, Anke Lindner, Éric Clément
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Publicado: American Physical Society 2020
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spelling oai:doaj.org-article:2bb5799078b74483b8ceb37634216c2a2021-12-02T12:11:43Z3D Spatial Exploration by E. coli Echoes Motor Temporal Variability10.1103/PhysRevX.10.0210042160-3308https://doaj.org/article/2bb5799078b74483b8ceb37634216c2a2020-04-01T00:00:00Zhttp://doi.org/10.1103/PhysRevX.10.021004http://doi.org/10.1103/PhysRevX.10.021004https://doaj.org/toc/2160-3308Unraveling bacterial strategies for spatial exploration is crucial for understanding the complexity in the organization of life. Bacterial motility determines the spatiotemporal structure of microbial and controls infection spreading and the microbiota organization in guts or in soils. Most theoretical approaches for modeling bacterial transport rely on their run-and-tumble motion. For Escherichia coli, the run-time distribution is reported to follow a Poisson process with a single characteristic time related to the rotational switching of the flagellar motors. However, direct measurements on flagellar motors show heavy-tailed distributions of rotation times stemming from the intrinsic noise in the chemotactic mechanism. Currently, there is no direct experimental evidence that the stochasticity in the chemotactic machinery affects the macroscopic motility of bacteria. In stark contrast with the accepted vision of run and tumble, here we report a large behavioral variability of wild-type E. coli, revealed in their three-dimensional trajectories. At short observation times, a large distribution of run times is measured on a population and attributed to the slow fluctuations of a signaling protein triggering the flagellar motor reversal. Over long times, individual bacteria undergo significant changes in motility. We demonstrate that such a large distribution of run times introduces measurement biases in most practical situations. Our results reconcile the notorious conundrum between run-time observations and motor-switching statistics. We finally propose that statistical modeling of transport properties, currently undertaken in the emerging framework of active matter studies, should be reconsidered under the scope of this large variability of motility features.Nuris Figueroa-MoralesRodrigo SotoGaspard JunotThierry DarnigeCarine DouarcheVincent A. MartinezAnke LindnerÉric ClémentAmerican Physical SocietyarticlePhysicsQC1-999ENPhysical Review X, Vol 10, Iss 2, p 021004 (2020)
institution DOAJ
collection DOAJ
language EN
topic Physics
QC1-999
spellingShingle Physics
QC1-999
Nuris Figueroa-Morales
Rodrigo Soto
Gaspard Junot
Thierry Darnige
Carine Douarche
Vincent A. Martinez
Anke Lindner
Éric Clément
3D Spatial Exploration by E. coli Echoes Motor Temporal Variability
description Unraveling bacterial strategies for spatial exploration is crucial for understanding the complexity in the organization of life. Bacterial motility determines the spatiotemporal structure of microbial and controls infection spreading and the microbiota organization in guts or in soils. Most theoretical approaches for modeling bacterial transport rely on their run-and-tumble motion. For Escherichia coli, the run-time distribution is reported to follow a Poisson process with a single characteristic time related to the rotational switching of the flagellar motors. However, direct measurements on flagellar motors show heavy-tailed distributions of rotation times stemming from the intrinsic noise in the chemotactic mechanism. Currently, there is no direct experimental evidence that the stochasticity in the chemotactic machinery affects the macroscopic motility of bacteria. In stark contrast with the accepted vision of run and tumble, here we report a large behavioral variability of wild-type E. coli, revealed in their three-dimensional trajectories. At short observation times, a large distribution of run times is measured on a population and attributed to the slow fluctuations of a signaling protein triggering the flagellar motor reversal. Over long times, individual bacteria undergo significant changes in motility. We demonstrate that such a large distribution of run times introduces measurement biases in most practical situations. Our results reconcile the notorious conundrum between run-time observations and motor-switching statistics. We finally propose that statistical modeling of transport properties, currently undertaken in the emerging framework of active matter studies, should be reconsidered under the scope of this large variability of motility features.
format article
author Nuris Figueroa-Morales
Rodrigo Soto
Gaspard Junot
Thierry Darnige
Carine Douarche
Vincent A. Martinez
Anke Lindner
Éric Clément
author_facet Nuris Figueroa-Morales
Rodrigo Soto
Gaspard Junot
Thierry Darnige
Carine Douarche
Vincent A. Martinez
Anke Lindner
Éric Clément
author_sort Nuris Figueroa-Morales
title 3D Spatial Exploration by E. coli Echoes Motor Temporal Variability
title_short 3D Spatial Exploration by E. coli Echoes Motor Temporal Variability
title_full 3D Spatial Exploration by E. coli Echoes Motor Temporal Variability
title_fullStr 3D Spatial Exploration by E. coli Echoes Motor Temporal Variability
title_full_unstemmed 3D Spatial Exploration by E. coli Echoes Motor Temporal Variability
title_sort 3d spatial exploration by e. coli echoes motor temporal variability
publisher American Physical Society
publishDate 2020
url https://doaj.org/article/2bb5799078b74483b8ceb37634216c2a
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