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...
Guardado en:
Autores principales: | , , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
American Physical Society
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/2bb5799078b74483b8ceb37634216c2a |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:2bb5799078b74483b8ceb37634216c2a |
---|---|
record_format |
dspace |
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 |
work_keys_str_mv |
AT nurisfigueroamorales 3dspatialexplorationbyecoliechoesmotortemporalvariability AT rodrigosoto 3dspatialexplorationbyecoliechoesmotortemporalvariability AT gaspardjunot 3dspatialexplorationbyecoliechoesmotortemporalvariability AT thierrydarnige 3dspatialexplorationbyecoliechoesmotortemporalvariability AT carinedouarche 3dspatialexplorationbyecoliechoesmotortemporalvariability AT vincentamartinez 3dspatialexplorationbyecoliechoesmotortemporalvariability AT ankelindner 3dspatialexplorationbyecoliechoesmotortemporalvariability AT ericclement 3dspatialexplorationbyecoliechoesmotortemporalvariability |
_version_ |
1718394619055570944 |