Squirmers with swirl -- a model for $Volvox$ swimming

TL;DR

This paper extends a classical squirmer model to include azimuthal swirl, using experimental data on Volvox colonies to predict swimming speeds and rotation rates, and compares these predictions with observed measurements.

Contribution

It introduces a modified axisymmetric squirmer model incorporating azimuthal swirl to better understand Volvox swimming behavior.

Findings

Model predicts swimming speeds and rotation rates as functions of colony radius.

Predictions qualitatively match experimental trends but underestimate actual speeds.

Larger flagellar beat amplitudes are needed for accurate quantitative predictions.

Abstract

Colonies of the green alga $Volvox$ are spheres that swim through the beating of pairs of flagella on their surface somatic cells. The somatic cells themselves are mounted rigidly in a polymeric extracellular matrix, fixing the orientation of the flagella so that they beat approximately in a meridional plane, with axis of symmetry in the swimming direction, but with a roughly 15 degree azimuthal offset which results in the eponymous rotation of the colonies about a body-fixed axis. Experiments on colonies held stationary on a micropipette show that the beating pattern takes the form of a symplectic metachronal wave (Brumley et al. (2012)). Here we extend the Lighthill/Blake axisymmetric, Stokes-flow model of a free-swimming spherical squirmer (Lighthill (1952), Blake (1971b)) to include azimuthal swirl. The measured kinematics of the metachronal wave for 60 different colonies are used to calculate the coefficients in the eigenfunction expansions and hence predict the mean swimming speeds and rotation rates, proportional to the square of the beating amplitude, as functions of colony radius. As a test of the squirmer model, the results are compared with measurements (Drescher et al. (2009)) of the mean swimming speeds and angular velocities of a different set of 220 colonies, also given as functions of colony radius. The predicted variation with radius is qualitatively correct, but the model underestimates both the mean swimming speed and the mean angular velocity unless the amplitude of the flagellar beat is taken to be larger than previously thought. The reasons for this discrepancy are discussed.