| Improvement in Motion Efficiency of the Spirochete Brachyspira pilosicoli in Viscous Environments Biophysical Journal, Volume 90, Issue 8, 15 April 2006, Pages 3019-3026 S. Nakamura, Y. Adachi, T. Goto and Y. Magariyama Abstract Spirochetes are unique among swimming bacteria in terms of their lack of external flagella. They actively move in viscous environments, and, surprisingly, the swimming speed of the spirochete has been reported to increase with viscosity in methylcellulose solutions. Many researchers consider that the presence of a loose, quasi-rigid network formed by linear polymer molecules is related to this strange phenomenon. One of the authors has proposed a theory that expresses this idea mathematically and successfully explains the speed properties of an externally flagellated bacterium in viscous environments. This theory predicts that the ratio of swimming speed to wave frequency (/ ratio, motion efficiency in a sense) increases with viscosity. In this study, we demonstrated a new method of measuring the swimming speed and wave frequency of spirochetes and the motion characteristics of a swine intestinal spirochete, strain NK1f, measured in viscous environments. Several sets of swimming speed and wave frequency data were simultaneously derived from an animation obtained by our method. The / ratio of NK1f displayed a tendency to increase with increasing viscosity, suggesting the validity of the above-mentioned theory. Improvement of motion efficiency is at least one of the factors that maintain spirochete motility in viscous environments. Abstract | Full Text | PDF (263 kb) |
| A Mathematical Explanation of an Increase in Bacterial Swimming Speed with Viscosity in Linear-Polymer Solutions Biophysical Journal, Volume 83, Issue 2, 1 August 2002, Pages 733-739 Yukio Magariyama and Seishi Kudo Abstract Bacterial swimming speed is sometimes known to increase with viscosity. This phenomenon is peculiar to bacterial motion. Berg and Turner (. 278:349–351, 1979) indicated that the phenomenon was caused by a loose, quasi-rigid network formed by polymer molecules that were added to increase viscosity. We mathematically developed their concept by introducing two apparent viscosities and obtained results similar to the experimental data reported before. Addition of polymer improved the propulsion efficiency, which surpasses the decline in flagellar rotation rate, and the swimming speed increased with viscosity. Abstract | Full Text | PDF (245 kb) |
| A Fluid-Dynamic Interpretation of the Asymmetric Motion of Singly Flagellated Bacteria Swimming Close to a Boundary Biophysical Journal, Volume 89, Issue 6, 1 December 2005, Pages 3771-3779 Tomonobu Goto, Kousou Nakata, Kensaku Baba, Masaharu Nishimura and Yukio Magariyama Abstract The singly flagellated bacterium, , moves forward and backward by alternating the rotational direction of its flagellum. The bacterium has been observed retracing a previous path almost exactly and swimming in a zigzag pattern. In the presence of a boundary, however, the motion changes significantly, to something closer to a circular trajectory. Additionally, when the cell swims close to a wall, the forward and backward speeds differ noticeably. This study details a boundary element model for the motion of a bacterium swimming near a rigid boundary and the results of numerical analyses conducted using this model. The results reveal that bacterium motion is apparently influenced by pitch angle, i.e., the angle between the boundary and the swimming direction, and that forward motion is more stable than backward motion with respect to pitching of the bacterium. From these results, a set of diagrammatic representations have been created that explain the observed asymmetry in trajectory and speed between the forward and backward motions. For forward motion, a cell moving parallel to the boundary will maintain this trajectory. However, for backward motion, the resulting trajectory depends upon whether the bacterium is approaching or departing the boundary. Fluid-dynamic interactions between the flagellum and the boundary vary with cell orientation and cause peculiarities in the resulting trajectories. Abstract | Full Text | PDF (277 kb) |
Copyright © 2007 The Biophysical Society. All rights reserved.
Biophysical Journal, Volume 93, Issue 1, 54-61, 1 July 2007
doi:10.1529/biophysj.106.103143
Biophysical Theory and Modeling
Wanxi Kan and Charles W. Wolgemuth
, 
University of Connecticut Health Center, Department of Cell Biology, Farmington, Connecticut
Address reprint requests to C. W. Wolgemuth, Tel.: 860-679-1655.Bacterial swimming is often driven by long helical filaments that are rotated at one end by a molecular motor. In most flagellated bacteria, the flagella protrude into the fluid environment. Rotation of the flagellar filament or filaments exerts force on the fluid, producing thrust. This mechanism of motility works well if the bacterium lives in a bulk fluid, but for those bacteria that prefer to invade a host there are at least two disadvantages to this mechanism. First, the extracellular environment of mammals is not a pure fluid, but is typically gel-like, which slows down or halts many swimming bacteria 1,2. Second, the immune system of mammals naturally identifies the protein, flagellin, that composes the flagellar filament and this interaction can lead to the innate immune response 3,4.
Modifications of the same apparatus, though, can overcome these difficulties. The spirochetes, a unique group of bacteria, with some members being highly virulent in humans, embed their flagella inside their periplasmic space (the space between the inner membrane-cell wall complex—i.e., cell cylinder—and outer membrane sheath; Figure 1c). In this article, we focus on the Leptospiraceae, such as Leptonema illini, Leptospira interrogans, and Leptospira biflexa. These bacteria have a short, single periplasmic flagellum (PF) attached subterminally that extends toward the center of the cell, which is not long enough to overlap at the center with the flagellum from the other end 5. The flagella are structurally similar to those of rod-shaped bacteria, but when observed by negative-stain electron microscopy, they form a tight coil rather than being wavelike as are most bacterial flagella 5,6,7,8,9,10. When the cells are at rest, fixed, or dead, the ends of the cell are hook-shaped (Figure 1ac) 7,11,12. Mutants that form uncoiled PFs or lack PFs are still helically shaped but have ends that are straight (i.e., they do not form hook-shaped ends) 5,13. In addition, cells with their outer membrane sheath removed are still helically shaped 14.
Rotation of the PF by a flagellar motor is believed to induce deformations in and counter-rotation of the CC. The combination of these deformations and rotations of the CC produce the thrust that drives motility. Swimming Leptospiraceae exhibit a number of different cell shapes. In cells that are translating, the anterior end is spiral-shaped and the posterior end is hook-shaped (Figure 1a) 7,12,15. Cells readily reverse directions, with the spiral end becoming hook-shaped and the hook-shaped end becoming spiral-shaped. Nontranslating forms are also seen where both ends of the cell are either hook-shaped or spiral-shaped (Figure 1a) 7,12,15. Several lines of evidence indicate that the spiral-shaped end is associated with counter-clockwise rotation (the frame of reference is viewing the flagella along its length from its distal end to the insertion point on the cell cylinder) of its associated PF, and the hook-shaped end is associated with clockwise rotation. Thus, translating cells are associated with cells that rotate their PFs in opposite direction. Taken together, the results indicate that the direction of rotation of the PF and its interaction with the cell cylinder determines the morphology of the end 7,11,12,16,17.
In this article, we explore the role of the elasticity of the cell cylinder (CC) and its interaction with the PF in determining the morphology of the Leptospiraceae. Since these bacteria are thin, right-handed helical bacteria with a length of 6–20μm and a diameter of 0.1–0.2μm 11,12,18,19, we consider the CC to be an elastic filamentary object that prefers to be helical with curvature,
and torsion,
19. The position of the CC can be defined by the position of its centerline, rcc(s), where s is the arclength (Figure 1c). We also consider the bacterial flagellum to be a tightly-coiled elastic filament with preferred curvature,
5. The outer membrane sheath is proposed to hold the PF at the radius of the CC. Since this radius is smaller than the other length scales (the lengths of the PF and CC, and the radius of curvature and the pitch for the CC), we ignore the displacement of the flagellum from the centerline of the CC and set rpf=rcc.
It is convenient to define a material, orthonormal triad, (e1, e2, e3), with respect to the CC and a separate triad for the PF. Here, e3 is the tangent vector, e1 points to an imaginary painted line on the surface of the bacterium, and e2=e3×e1. The curvature and twist of the CC can be defined by a strain vector, Ωcc(s), where Ω1,cc and Ω2,cc are the curvatures about e2 and e1, respectively, and Ω3,cc is the twist per length about the tangent vector. We assume that the PF is free to rotate with respect to the cell body and define the angle, α, between the PF orthonormal triad and that of the CC. Therefore, the strain vector for the PF can be written as
![]() | (1) |
Assuming linear elasticity, the energy required to deform an elastic filament is proportional to the square of the deviation of the curvatures and twist from the preferred values,
![]() | (2) |
![]() | (3) |
This moment satisfies the dynamic Kirchoff rod equations
![]() | (4) |
where F is the force on the filament, ζris the drag coefficient for rotation about the tangent vector, ζα is the drag coefficient for rotation of the PF with respect to the CC, ζ⊥ is the drag coefficient for translational motion perpendicular to the tangent vector, and ζ∥ is the drag coefficient for motion parallel to the tangent vector (see the Appendices for the full derivation of this result). In addition, the dynamics for the rotation of the PF around the CC is given by
![]() | (5) |
We begin by examining the behavior of the model equations in the absence of applied forces and torques. We expect that this scenario should reproduce the hook-shaped end morphology that arises when the flagella are not rotating, i.e., the bacterium is at rest, fixed, or dead (Figure 2a) 7,8,12. Setting the elastic moment equations (Eq. (3)) equal to zero, we find the dependence of the strain vector on α,
![]() | (6) |
Minimizing the energy equation, Eq. (2) with respect to α and using Eq. (6) leads to
![]() | (7) |
For most materials, the ratio of the twist modulus to the bending modulus is between 2/3 and 1 20. Since the material properties for the CC and PF have not been measured, we use that Ccc/Acc=Cpf/Apf=1. There remains one free parameter, the ratio of the PF bending modulus to the CC bending modulus, Apf/Acc.
Solving Eq. (7) over a total length of 3μm (the approximate length of the PF determined by the length of the hook region) and using Apf/Acc=0.15 leads to the hook-shaped morphology shown in Figure 2b. To compare the calculated morphology with the shape of the hook-shaped region of a L. illini cell, we measured the radius of curvature of the hook region, Rh, and the pitch, P, of the cell cylinder (See Figure 2a). For the calculated shape shown in Figure 2b, the radius of curvature of the hook region is 0.65μm and the pitch of the CC is 0.64μm. We measured Rh and P from an electron micrograph of the hook-region of L. illini shown in 7 (Figure 2a) and found Rh=0.70μm and P=0.60μm.
As the ratio, Apf/Acc, has not been measured, we explore the behavior of the end morphology for the Leptospiraceae as a function of this ratio. For Apf/Acc=0, the flagellum has no effect on the morphology and the cell cylinder remains helical (Figure 2c). As Apf/Acc increases, the flagellum becomes stiffer and therefore has more effect on the shape, causing the cell cylinder to bend into a hook shape. To quantify this effect, we plot Rh as a function of Apf/Acc. Larger values of Apf/Acc produce a smaller radius of curvature for the hook shape (Figure 2c). As mentioned above, we find the best agreement between the model predictions and the end morphology of L. illini for values of Apf/Acc of ∼0.15.
To swim, the bacterium rotates the flagellum that is located at either end of the cell using a rotary flagellar motor. Evidence suggests that clockwise rotation of the flagellum maintains the hook-shaped end morphology (Figure 1b), whereas counter-clockwise rotation results in a spiral-shaped end (Figure 3a). To test whether our model can account for these morphologies, we idealize the effect of the flagellar motor as a pure torque, with magnitude T1, applied to the flagellum along the tangent direction of the flagellum. We assume that the flagellum protrudes out of the inner cell membrane in a direction tangent to the long axis of the cell at the cell end (Figure 3b). Torque balance requires that the CC must feel an equal but opposite torque to that applied on the PF. In addition, since the PF resides in the periplasmic space, the PF must bend back 180° (Figure 3b). In rod-shaped bacteria, a flexible hook connects the flagellar filament to the flagellar motor. This hook acts like a universal joint 21 and redirects the torque on the flagellum. In the real system, the motor is a short distance from the tip and comes out of the side of the CC. This offset may induce an additional wobble of the tip that will not be accounted for in this model.
We explored the dynamic behavior of the model under an applied torque from the flagellar motor using two methods—steady-state analysis and the full dynamic model. We began by solving the steady-state form of Eqs. (4) with a torque, T1, applied to the hook portion of the flagellum (which corresponds to a torque −T1 acting on the flagellar filament and the cell cylinder; see Figure 3b and Appendices for details). For all simulations, we used that Apf=0.15 Acc, since this value gave the closest agreement for the end morphology in the absence of external forces or torques. We solved the equations in the region of the PF (a 3-μm length) and assumed that the remainder of the cell is rigidly fixed in space (Figure 4a). By treating the rest of the cell as being fixed, we do not expect the model to provide quantitative agreement with measurable quantities for translating Leptospiraceae. However, since L. illini cells tethered to the coverslip via antibody-coated microspheres still dynamically transition between hook- and spiral-shaped ends 17, we expect the model to provide qualitative or semiquantitative results for the morphology of the ends of the cell during flagellar rotation. Because we are assuming that the region of the cell away from the end of the cell is stationary, this treatment does not allow us to calculate the translational or rotational velocities for the cell. However, it is possible to calculate the total force and moment that are required to prevent the motion of the cell. This total force and moment can be used to estimate the propulsive thrust and rotational velocity that would occur if the fixed position constraint were removed.
For negative applied torques, which corresponds to clockwise rotation of the flagellum, the model predicts that the cell end maintains a hook-shaped morphology. However, as the torque increases, the hook distorts by bending out of the original hook plane (see the insets to Figure 4d for T1L/Acc=−0.1 and T1L/Acc=−0.3). For positive values of T1, we found two solutions for the end morphology. The first solution is hooklike and is similar to the morphologies that are observed for clockwise rotation. The second solution resembles a left-handed superhelical structure (Figure 4cd) and is qualitatively similar to the spiral-shaped ends of translating or tethered cells (Figure 4bc).
To resolve which end shape would be observed for clockwise rotation, we solved the full dynamical problem over the entire cell length using a finite-difference, variable-order algorithm. We chose boundary conditions such that the total applied force at the ends was zero and the applied moments were T1Re3 and T1Le3 at the right and left ends, respectively. This method confirmed the steady-state calculation in that for counter-clockwise rotation of the flagella, the end was hook-shaped. Furthermore, for clockwise rotation of the flagellum, the end was spiral-shaped. One reason that the spiral shape may be favored is that it allows a greater percentage of the cell cylinder to lie closer to the rotational axis (the z-direction in Figure 4c), which produces less dissipation due to drag and would therefore be energetically favorable. This argument is similar in context to that posed by Levinthal and Crane 22 in the context of DNA transcription and by Goldstein et al. 23 for polymorphic transformations of bacterial flagella.
In Figure 4b, we show a dark field image of a translating L. illini cell with one hook-shaped end and one spiral-shaped end. Comparison to the shapes computed by the model for clockwise torque at the right end (T1L/Acc=−0.2) and counter-clockwise torque at the left end (T1L/Acc=0.2, Figure 4c) is qualitatively similar. The model predicts that the spiral-shape during counter-clockwise rotation has the opposite handedness of the cell body, which is in agreement with the observation that L. illini has a right-handed cell cylinder and the spiral-shape is left-handed.
To hold the remainder of the cell stationary requires a moment to be applied at the juncture between the cell end and the remainder of the cell (Figure 4a). The rotation rate of the end about the swimming direction, which we will define as the z-direction (Figure 4c), should be roughly proportional to the z-component of this moment, Mz. The magnitude of the moment increases with increasing torque (Figure 4d). Interestingly, the model predicts that the hook shape requires a smaller moment than the spiral shape, which suggests that the rotational velocity of hook-shaped ends will be smaller than that for the spiral-shaped ends for tethered cells.
Here we have presented a model for the end morphology and dynamics of the Leptospiraceae. This model assumes that competition between the preferred shapes of the cell cylinder and the periplasmic flagellum determines the morphology of the ends of the bacterium. Since the PF is constrained to reside at the radius of the cell cylinder, both the PF and the CC must deform elastically. The minimum energy configuration in the absence of applied forces or torques is a hook shape. The model predicts that the bending modulus of the PF is ∼7 times smaller than that of the CC.
The Young’s modulus of the cell wall of the Leptospiraceae has not been measured; however, the modulus of other bacteria has been. For example, optical trapping experiments estimated the Young’s modulus of Bacillus subtilis to be 5.0MPa 24 and atomic force microscopy has found the modulus for the cell wall of Myxococcus xanthus to be 1.3MPa 25, 25.0MPa for Escherichia coli26, and 0.085–0.15MPa for Magnetospirillum gryphiswaldense27. The bending modulus of the cell can be estimated using the radius of the cell, a, and the thickness, t, of the cell wall as Acc=πEa3t. If we use a moderate value of the Young’s modulus for the cell wall of 1.0MPa and a thickness of 10nm, we estimate Acc to be ∼2×10−23 N m2. Therefore, our model predicts the bending modulus of the PF to be ∼3×10−24 N m2. Estimates based on experiments using Salmonella flagellar filaments reported values ranging from 10−24 N m228 to 10−22 N m229. Kim and Powers reanalyzed the data from 29 using slenderbody theory and estimated a value of 3.2×10−24 N m2 for the flagellar bending modulus 30.
We showed that clockwise rotation of the PF driven by a torque applied by a rotary motor located at the end of the cell can maintain a hook shape. As well, rotation of the flagellum in a counter-clockwise direction can produce left-handed, spiral-shaped end morphology. These morphologies are a result of linear elastic deformation induced by the applied torque from the flagellar motor and the internalization of the PF inside the periplasmic space. Our model produces realistic cell shapes when the torque of the bacterial flagellar motor of the Leptospiraceae is between 0.1 and 0.3 Accμm−1. Using the estimate for the bending modulus of the CC given above, we calculate a torque of 2000–6000 pN nm. Berry and Berg measured the stall torque of the flagellar motor of Escherichia coli to be ∼4500 pN nm 31. Therefore, our model predicts realistic cell shapes for reasonable values of the applied torque.
To test this model, the bending moduli of the PF and CC should be measured. One possible method would be to use an optical trap to apply forces to these structures. By measuring the end-to-end displacement as a function of forcing, the bending moduli can be estimated.
The authors thank N. W. Charon, R. E. Goldstein, and S. F. Goldstein for comments and useful discussions and T. R. Powers for discussions pertaining to the relationship between functional derivatives and the moment.
This work was supported by the National Institutes of Health (grant No. R01 GM072004).
For composite filament problems like the ones presented in this article, it is useful to develop a generalized framework for handling the equilibrium and dynamic behavior of these complex filamentary systems.
The configuration of the centerline of a filamentary object can be described by its position, r(s), and the twist (angular rotation per length) about the centerline, Ω3. Equivalently, the configuration of the filament can be defined by a strain vector Ω. The rotation of an orthonormal material triad, (e1, e2, e3), is described by this strain vector as
![]() | (A1) |
For a linearly elastic rod, the restoring moment, M, is related to the strain vector,
![]() | (A2) |
functions that define the equilibrium configuration of the rod, A and B the bending moduli, and C the twist modulus. In equilibrium, moment and force balance along the length of the filament lead to the Kirchoff rod equations 20,![]() | (A3) |
An equivalent representation of the physics defines a quadratic deformation energy of the filament,
![]() | (A4) |
The equilibrium configuration of the filament is given by the minimum of this energy functional, which is the same as the force per length,
![]() | (A5) |
Note that for this energy, the moment in Eq. (A2) is equal to
![]() | (A6) |
For a composite filament, the configuration of the centerline can still be described using the vector, rcc, or the strain vector, Ω. However, depending on the constraints in the system, the form for the moment in terms of the Ω values is not obvious. It is often easier to write the energy for these systems. Typically, this energy will depend on Ω and its derivatives, in which case the functional derivative in Eq. (A5) can be quite tedious to compute and difficult to solve for the equilibrium configuration. If a relation for the moment, such as Eq. (A6), exists that satisfies Eq. (A3), it can be much easier to solve for the equilibrium configurations of the system. In this section, we compute the generalized moment and show that this moment satisfies Eq. (A3).
To begin we assume an energy that depends on Ω and its derivatives with respect to the arclength, s,
![]() | (A7) |
To outline the calculation, we will assume that the energy does not depend on derivatives higher than first-order, as this exemplifies the approach and does not change the end result. Therefore,
A variation in the energy is
![]() | (A8) |
Using that
32, we can integrate by parts to get
![]() | (A9) |
In this equation, the first term is a surface term that, in the absence of applied forces and moments, should be zero. The second term describes how variations in the strain vector affect the energy.
We note that the bracketed piece of the second term is equal to the functional derivative of the energy with respect to Ωi and make the definition
![]() | (A10) |
Therefore,
![]() | (A11) |
The variations in Ωi were worked out in Goldstein et al. 32 and are
![]() | (A12) |
Substituting Eq. (A12) into Eq. (A11) and integrating the second derivative pieces by parts once, we get
![]() | (A13) |
Since the force per length is the functional derivative of the energy, we define the force, F, as the components of the integrand that multiply the derivative of δr with respect to arclength. Therefore,
![]() | (A14) |
![]() | (A15) |
Equation (A15) can be rewritten using Eq. (A1) and that the functional derivative of E with respect to χ and r is zero to recover Eq. (A3). Therefore, the components of the moment along a filament with a general energy functional is given by Eq. (A10).
For low Reynolds number motions, as occur with swimming bacteria, the restoring moments and forces are balanced by viscous drag from the fluid. For long, thin objects, slenderbody hydrodynamic theory 33 suggests that local drag coefficients can be defined for motion parallel to the long axis of the filament,
motion perpendicular to the long axis,
and rotation about the centerline,
where a is the radius, L is the length of the filament, and η is the viscosity of the fluid. If the flagellum rotates at velocity ωα, we assume that the drag force on the cell cylinder is −ζαωα. Balancing the drag moments and forces with the restorative moments and forces leads to the dynamic equations
![]() | (B1) |
![]() | (B2) |
The rotational velocity of the centerline, ω, is related to the rotation rate of the material orthonormal triad as
![]() | (B3) |
At steady state, we expect that the bacterium is deformed and rotating, but with a fixed cell shape. Therefore, we expect that
![]() | (B4) |
for all i. Using Eq. (B3), it is possible to show that Eq. (B4) is equivalent to
![]() | (B5) |
By differentiating the second equation of Eq. (B1) and using Eq. (B3), we find that
![]() | (B6) |
Eqs. (B1) form a closed system of first-order equations that can be solved for the steady-state dynamics of the morphology of the Leptospiraceae. We used MatLab function bvp4c to solve these equations with the following boundary conditions
At s=0, we assume that the velocity and angular velocity are zero and that the moments on the flagellum and CC are zero:
![]() | (B7) |
At s=L, we assume that the force is equal to zero and that the moments on the PF and CC are equal to T1:
![]() | (B8) |
For the static calculations, Eq. (7) was solved using the MatLab boundary value problem solver (bvp4c) with no external moment acting on the PF, which leads to the boundary condition,
For the dynamic calculations, we solved Eqs. (4) by turning the dynamic problem into a steady-state, boundary value problem. MatLab bvp4c was used to integrate the steady-state equations.
To measure the hook radius of curvature, we used a compass to draw the best fit-by-eye curve through the image shown in Figure 2a. To determine the hook radius of curvature from our simulations, we solved Eq. (7) and used that solution in Eq. (6). These Ω values were used to integrate the material frame to get the position of the centerline of the CC. The discrete points for the centerline were then fit to a circle of radius Rh using a least-squares minimization routine.
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