Department of Mathematics, University of Glasgow, Glasgow, UK.
Bull Math Biol. 2012 Jan;74(1):232-55. doi: 10.1007/s11538-011-9673-1. Epub 2011 Jul 9.
Biflagellated algae swim in mean directions that are governed by their environments. For example, many algae can swim upward on average (gravitaxis) and toward downwelling fluid (gyrotaxis) via a variety of mechanisms. Accumulations of cells within the fluid can induce hydrodynamic instabilities leading to patterns and flow, termed bioconvection, which may be of particular relevance to algal bioreactors and plankton dynamics. Furthermore, knowledge of the behavior of an individual swimming cell subject to imposed flow is prerequisite to a full understanding of the scaled-up bulk behavior and population dynamics of cells in oceans and lakes; swimming behavior and patchiness will impact opportunities for interactions, which are at the heart of population models. Hence, better estimates of population level parameters necessitate a detailed understanding of cell swimming bias. Using the method of regularized Stokeslets, numerical computations are developed to investigate the swimming behavior of and fluid flow around gyrotactic prolate spheroidal biflagellates with five distinct flagellar beats. In particular, we explore cell reorientation mechanisms associated with bottom-heaviness and sedimentation and find that they are commensurate and complementary. Furthermore, using an experimentally measured flagellar beat for Chlamydomonas reinhardtii, we reveal that the effective cell eccentricity of the swimming cell is much smaller than for the inanimate body alone, suggesting that the cells may be modeled satisfactorily as self-propelled spheres. Finally, we propose a method to estimate the effective cell eccentricity of any biflagellate when flagellar beat images are obtained haphazardly.
双鞭毛藻类在其所处的环境中朝着平均方向游动。例如,许多藻类可以通过多种机制向上游动(趋地性)和向下降流液体游动(趋旋性)。细胞在液体中的聚集会引起流动不稳定性,导致模式和流动,称为生物对流,这可能对藻类生物反应器和浮游生物动力学特别重要。此外,了解在强制流动下游泳细胞的行为是充分理解海洋和湖泊中细胞的规模化整体行为和种群动态的前提;游泳行为和斑块性将影响相互作用的机会,而相互作用是种群模型的核心。因此,更好地估计种群水平参数需要详细了解细胞游泳偏好。使用正则化 Stokeslets 方法,开发数值计算来研究具有五个不同鞭毛节拍的趋旋性长形双鞭毛藻类的游动行为和周围流体流动。特别是,我们探索了与底部沉重和沉降相关的细胞重新定向机制,发现它们是相称和互补的。此外,使用实验测量的莱茵衣藻的鞭毛节拍,我们发现游动细胞的有效细胞偏心度远小于单独的无生命物体,这表明可以将细胞模型很好地模拟为自推进球体。最后,当获得随机的鞭毛节拍图像时,我们提出了一种估计任何双鞭毛藻类有效细胞偏心度的方法。