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| Auteurs principaux: | , , , , , , , |
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| Format: | Preprint |
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2025
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| Accès en ligne: | https://arxiv.org/abs/2503.11364 |
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| _version_ | 1866915391504121856 |
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| author | Baillou, Renaud Garcia-Moreno, Marta Pedrosa Guigue, Quentin Meinier, Solene Darnige, Thierry Junot, Gaspard Peruani, Fernando Clément, Eric |
| author_facet | Baillou, Renaud Garcia-Moreno, Marta Pedrosa Guigue, Quentin Meinier, Solene Darnige, Thierry Junot, Gaspard Peruani, Fernando Clément, Eric |
| contents | Navigation of microorganisms is controlled by internal processes ultimately sensitive to mechanical or chemical signaling encountered along the path. In many natural environments, such as porous soils or physiological ducts, motile species alternate between bulk and surface motion displaying in each case, distinct kinematics. This inherent complexity is key to many practical biological and ecological issues involving spreading and contamination, essential for understanding the spatiotemporal structuring of populations in their environment. However grasping the interplay between geometrical confinement and kinematics driven by internal biological responses remains poorly understood from a physical and biological standpoint. Here, we address this question through experimental and theoretical analysis in the heuristic situation of two parallel confining surfaces. We track wild-type E. coli - a model peritrichous flagellated bacterium - in 3D over extended periods of time. We obtain the first experimental measurements of the emerging diffusivity and bulk/surface residence times as a function of confinement height and the specific chiral kinematics at surfaces. All experimental results are quantitatively reproduced, without parametric adjustment, by a non-Markovian stochastic (BV) model that incorporates the internal biochemical memory carried by a phosphorylated protein switching the motor rotation. By matching the results with a Markovian (memoryless) companion model, we derive an analytical expression for the diffusivity and demonstrate how confining walls influence microbial long-range dispersion. This approach also provides a general conceptual basis for understanding how microorganisms navigate complex environments, in which their movement alternates between bulk and surfaces. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_11364 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Confinement controls bacterial spreading at all scales Baillou, Renaud Garcia-Moreno, Marta Pedrosa Guigue, Quentin Meinier, Solene Darnige, Thierry Junot, Gaspard Peruani, Fernando Clément, Eric Biological Physics Navigation of microorganisms is controlled by internal processes ultimately sensitive to mechanical or chemical signaling encountered along the path. In many natural environments, such as porous soils or physiological ducts, motile species alternate between bulk and surface motion displaying in each case, distinct kinematics. This inherent complexity is key to many practical biological and ecological issues involving spreading and contamination, essential for understanding the spatiotemporal structuring of populations in their environment. However grasping the interplay between geometrical confinement and kinematics driven by internal biological responses remains poorly understood from a physical and biological standpoint. Here, we address this question through experimental and theoretical analysis in the heuristic situation of two parallel confining surfaces. We track wild-type E. coli - a model peritrichous flagellated bacterium - in 3D over extended periods of time. We obtain the first experimental measurements of the emerging diffusivity and bulk/surface residence times as a function of confinement height and the specific chiral kinematics at surfaces. All experimental results are quantitatively reproduced, without parametric adjustment, by a non-Markovian stochastic (BV) model that incorporates the internal biochemical memory carried by a phosphorylated protein switching the motor rotation. By matching the results with a Markovian (memoryless) companion model, we derive an analytical expression for the diffusivity and demonstrate how confining walls influence microbial long-range dispersion. This approach also provides a general conceptual basis for understanding how microorganisms navigate complex environments, in which their movement alternates between bulk and surfaces. |
| title | Confinement controls bacterial spreading at all scales |
| topic | Biological Physics |
| url | https://arxiv.org/abs/2503.11364 |