Morphological effects on bacterial Brownian motion: Validation of a chiral two-body model

IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Baopi Liu , Bowen Jin , Lu Chen , Ning Liu
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引用次数: 0

Abstract

We systematically investigate how flagellar morphology governs the stability of bacterial Brownian motion, evaluating the effectiveness of a simplified chiral two-body model. This model, which effectively captures the specific bacterial morphology and significantly reduces computational cost, is used for simulating bacterial Brownian motion. Our results demonstrate that the model accurately reproduces the Brownian motion of bacteria for contour lengths Λ5.0 μm, helix radii 0.2R0.5 μm, and pitch angles π/6θ2π/9. We find that the translational and rotational velocities of bacteria depend linearly on the motor rotation rate, independent of dynamic viscosity. Increasing helix radius and contour length leads to more elongated trajectories and enhances their linearity. Furthermore, longer contour lengths improve the stability of the bacterial forward motion. Collectively, these findings demonstrate the essential role of flagella in stabilizing bacterial Brownian motion and confirm the effectiveness of the chiral two-body model for simulating this phenomenon.

Abstract Image

细菌布朗运动的形态学影响:手性两体模型的验证
我们系统地研究鞭毛形态如何控制细菌布朗运动的稳定性,评估简化手性两体模型的有效性。该模型有效地捕获了细菌的特定形态,大大降低了计算成本,用于模拟细菌的布朗运动。结果表明,该模型准确地再现了细菌在轮廓长度Λ≥5.0 μm、螺旋半径0.2≤R≤0.5 μm、俯仰角π/6≤θ≤2π/9时的布朗运动。我们发现细菌的平移速度和旋转速度与马达转速成线性关系,与动态粘度无关。增加螺旋半径和轮廓长度可以使轨迹更加拉长,并增强其线性度。此外,较长的轮廓长度提高了细菌向前运动的稳定性。总的来说,这些发现证明了鞭毛在稳定细菌布朗运动中的重要作用,并证实了模拟这一现象的手性二体模型的有效性。
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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