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Enregistrement W7048974081

Modeling and simulation of uni- and multi-flagellar bacterial locomotion in a viscous fluid

2020· dissertation· en· W7048974081 sur OpenAlexfundno aff

Notice bibliographique

RevueUWSpace (University of Waterloo) · 2020
Typedissertation
Langueen
DomainePhysics and Astronomy
ThématiqueMagnetic confinement fusion research
Établissements canadiensnon disponible
Organismes subventionnairesNatural Sciences and Engineering Research Council of CanadaUniversity of WaterlooCompute Canada
Mots-clésFlagellumBacteriaRotation (mathematics)BiofilmBacterial cell structureTorque
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Flagellated bacteria categorized as microorganisms, play vital roles in human life such that their beneficial and detrimental effects on different aspects of the ecosystem are indisputable. Flagellated bacteria propel themselves in fluids by rotating one or more flexible filaments, known as flagella, driven by independent flagellar motors. Depending on \nthe rotation direction of the motors and handedness of the helical filaments, the flagella either pull or push the cell body. Entrapment of swimming bacteria near surfaces, observed in some species, may lead to biological processes such as biofilm formation and wound infection. Previous experimental and numerical studies of bacterial locomotion have illustrated that several behaviors exhibited by the bacteria have roots in hydrodynamic interactions between the bacteria components and the surrounding fluid. \n \nIn this thesis, we numerically study flagellated bacterial locomotion in bounded and unbounded spaces. The physical properties of the model bacteria in this study are described based on experimental data available for various species of uni-, bi-, and multiflagellated bacteria. Specifically, we choose Vibrio alginolyticus, Magnetococcus marinus and Escherichia coli to focus on their motility to shed light on some of the unique behavior observed in each one. Depending on the species, the model bacteria have either a spherical or a spherocylindrical cell body and the flexible flagellar filaments are connected to the cell body membrane directly or via very flexible straight hooks. The flagella are independently driven by either constant or variable torque motors. Despite a similar flagellar structure, uni- and multiflagellated bacteria employ different mechanisms to swim on straight trajectories or reorient. \n \nHere, we use the boundary element method (BEM) and the Kirchhoff rod model to develop a comprehensive elastohydrodynamic framework in order to model the motility of uni- and multiflagellated bacteria in a Newtonian viscous fluid. For this purpose, the boundary integral equations (BIE) are numerically evaluated over the cell body surface and along the flagella which are described by distributions of regularized Stokeslets and Rotlets. By assuming that the flagella are inextensible and unshearable, the linear theory of elasticity is used to estimate the internal moments along the flagella. Adding the hydrodynamics and elasticity equations to the total force/torque balance and kinematic equations leads to a system of linear equations which are solved to find the velocities and update the swimmer configuration accordingly. \n \nMotivated by experimental observations of Vibrio alginolyticus locomotion in which it is shown that there is an interesting correlation between the near-surface entrapment of bacteria and the concentration of certain ions in the swimming medium, we numerically investigate its motility in different concentrations of NaCl. Our simulations demonstrate that changing the concentration of NaCl in the swimming fluid affects the tendency of pusher-mode bacteria to remain near the surfaces by altering the averaged swimming speed and inducing the different degrees of deformations along the flagellum. In addition to the ion concentration, our results indicate the flagellum/hook stiffness, the flagellar motor torque, and the cell body aspect ratio may affect whether the uniflagellated model bacterium escapes from the surface or becomes trapped in circular orbits. \n \nBy simulating the locomotion of a bi-flagellated model bacterium with a spherical cell body, one puller, and one pusher flagellum, we show that the bacteria with such configuration mainly swim along double helical trajectories. Comparing the properties of the obtained trajectories with the Magnetococcus marinus's trajectories measured experimentally, indicate that this species has likely puller-pusher configuration. Varying the stiffness, orientations, or positions of the flagella significantly changes the swimming characteristics. Notably, when either the applied torque to the pusher flagellum is higher than a critical value and/or its stiffness is lower than a critical stiffness, the pusher flagellum exhibits overwhirling motion, resulting in a more complicated swimming style and a lower swimming speed. For a moderate flagellum stiffness, the swimming speed is insensitive to the rest orientation of the flagella over a wide range of orientation angles because the flagella deform to maintain alignment with the swimming direction. \n \nNumerical investigation of multiflagellated bacteria locomotion in unbounded fluid indicates that the arrangement of the flagella on the cell body provides no advantages in the average swimming speeds of bacteria. However, the trajectory of the bacteria could be either relatively straight or double helical trajectory depending on the degree of asymmetry that exists in the distribution of the flagella. Our results indicate that the multiflagellated bacteria in the ``run'' state may have several stable swimming modes in which the swimming properties such as speeds and trajectories could be different. The tumbling event, stopping of the flagellar motor, and interaction with other bacteria are likely some reasons which cause the bacteria to switch between the different modes. High viscous torque due to the presence of a no-slip boundary slightly changes the swimming properties of the multiflagellated bacteria such as bundling time, the translational and angular speeds. Remarkably, the flagella arrangement is one of the key factors determining how the swimming properties vary in response to the presence of a surface.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,017
Score d'incertitude au seuil0,034

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0020,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,013
Tête enseignante GPT0,227
Écart entre enseignants0,215 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

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