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* Department of Membrane and Ultrastructure Research, The Hebrew University-Hadassah Medical School, Jerusalem 91120, Israel;
Tel Aviv Academic College of Engineering, Tel Aviv 69107, Israel, and School of Mathematical Sciences, Tel Aviv University, Tel Aviv 69978, Israel; and
Institute of Mathematics, The Hebrew University of Jerusalem, Jerusalem 91904, Israel
Correspondence: Address reprint requests to Shlomo Trachtenberg, Tel.: 972-2-675-8166; Fax: 972-2-678-4010; E-mail: shlomot{at}cc.huji.ac.il.
| ABSTRACT |
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| INTRODUCTION |
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The ability of the monomers to coexist in two stable and switchable conformations and the initial helical symmetry of the straight polymer allow for filament polymorphism (for reviews, see Asakura (1970)
, Calladine (1983)
, and Kamiya et al. (1982)
; for a more recent view, see Coombs et al. (2002)
), i.e., to supercoil reversibly into a variety of helical forms with changing amplitude, wavelength, and helical sense. These dynamic helical parameters may affect the overall hydrodynamic properties of the propeller, allowing it to adapt to changing environmental conditions (e.g., viscosity, flow, and mechanical stress). The hydrodynamics of rotating propellers in the form of smooth, rigid, corkscrew-like tubes or lines is well established (see, e.g., Berg (1993)
, Bray (2001)
, Brennen and Winet (1977)
, Holwill and Burge (1963)
, Lighthill (1976)
, and Schreiner (1971)
). One would assume that, given the small dimensions (
12 x 10-4 cm) and, consequently, low Reynolds numbers of bacteria (10-410-5), the flow associated with them is completely laminar (Purcell, 1977
, 1997
).
Although being the largest and most diverse phylogenetic group, eubacteria have only two types of flagellar filaments (propellers): "plain" and "complex" (see Schmitt et al., 1974a
,b
). The "complex" filaments are structurally perturbed forms of the "plain" ones. The perturbation is a result of symmetry reduction due to flagellin dimerization. The reduction of symmetry occurs along the right-handed six-start helical lines (resulting in a helical perturbation (Trachtenberg et al., 1986
)) or along the left-handed five-start helical lines (resulting in a nonhelical perturbation (Trachtenberg et al., 1998
)). (The six-, five-, and three-start families mentioned can be viewed, at least at low resolution, as six-, five-, and three-stranded helical bundles or densities). Only two bacterial species are known to have helically perturbed filamentsRhizobium and Pseudomonas (Schmitt et al., 1974a
,b
). We have been studying the three-dimensional molecular structure (Trachtenberg et al., 1986
, 1987
, 1998
; Cohen-Krausz and Trachtenberg, 1998
; 2003a
,b
) and the physical properties (Trachtenberg and Hammel, 1992
) of the complex bacterial propellers using high-resolution electron microscopy and image reconstruction techniques. These studies resulted in detailed density maps whose surface patterns are of particular interest here.
Helically perturbed ("complex") filaments have a rather coarse surface with deep grooves and ridges along the right-handed three-start helical lines, reminiscent of an Archimedean screw or turbine. The concomitant propelling function of these organelles and their unique hydrodynamic shape is intriguing. Here, we attempt to study the hydrodynamics of bacterial motility at the level of molecular dimensions. Rather than treating the helical propeller in its entirety as a smooth, featureless tube (or helical line), we explore whether the turbine-like surface pattern of the "complex" filament might make a potential contribution to the propeller's hydrodynamics. We do so on a local scale, i.e., not on the entire superhelical filament, but on a straight segment or, rather, on a cross section of it (see below). In viscous, gel-like environments (e.g., Trachtenberg, 1986
) bacteria can bore their way through the medium. An overall screw-like shape is helpful (see Gilad et al. (2002)
and references therein). In fluid environments of low viscosity, a modified surface pattern would also help and the deviation from laminar flow might be of importance. The deviation from pure laminar flow, to any extent and even only under extreme conditions, may initiate a disturbance leading to a flagellar polymorphic switch and effect flagellar bundle formation and dispersiona key element in controlling the direction of swimming and the chemotactic response (Larsen et al., 1974
). It is sufficient to initiate a local perturbation in flow at the tip of the filament. The perturbation, or, rather, its structural effect, may, then, propagate along the filament or the flagellar bundle (see Macnab and Ornston, 1977
, for examples of polymorphic transitions propagating from and to the cell proximal end of the filament).
Here we use the boundary element method (BEM), which we extend and refine to handle complex surfaces (see below) beyond what has been previously applied to studies on smooth tubular flagella. In particular we explore whether the unique, turbine-like, coarse and convoluted surface structure of the "complex" bacterial propeller affects its microhydrodynamics, i.e., may cause deviation from pure laminar flow, and to what extent.
Due to the helical symmetry of the propeller, all its cross-sectional slices are identical (at a resolution lower than the rise-per-subunit), but rotated and shifted axially by a constant amount. At this stage, we reduce the analysis to two dimensions and apply it to the actual closed contour of single cross-sectional density maps as generated by electron microscopy and helical image reconstruction. For comparison, we apply the method to a smooth cylindrical cross section and to a reduced and simplified mechanical model (Archimedean screw) with helical and dimensional parameters of a flagellar filament. Such a comparison might single out the unique contribution of the different structural components and, in particular, the complex flagellar surface pattern.
The BEM enables to approximate solutions of differential equations, which can be represented as integrals along the boundary (Brebbia, 1984
; Powel and Wrobel, 1995
; Pozrikidis, 2002
). The advantage of such a representation is that it may be readily applied to problems with complex geometries. In our case, we attempt to model the flow using the Stokes equation. Here, the solution may be written as integrals along the boundary and, therefore, the BEM may be easily implemented. Moreover, the BEM has a definite advantage over other methods (e.g., finite difference or spectral methods) in cases where the domain has a convoluted boundary. A similar representation holds for time-dependent problems. However, the BEM becomes limited if we want to include nonlinear effects (i.e., model the flow by the Navier-Stokes equations). For these applications, the use of finite-difference, finite-volume, or finite-element methods, where nonlinear terms are handled more efficiently, is preferred (see Ben-Artzi et al. (2001)
for a detailed discussion and applications).
Although this analysis is concerned with and applied to an extreme case of potential biological importance, it might have broad implications on nanotechnological problems.
| THEORY AND DATA ANALYSIS |
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The boundary element method
Since the fluid is highly viscous and can be regarded as being in its steady state, the Stokes equation
![]() | (1) |
is the incompressibility condition, and
is the viscosity coefficient. It is known that Eq. 1 has solutions subject to appropriate boundary conditions, typically the no-slip condition
on
. In the BEM, one expresses the solution in
by its values on the boundary. A crucial ingredient of the method is the evaluation of certain combinations of the derivatives of the unknowns at the boundary. To do this, we first prove the following:
Lemma 1
If u and v are incompressible, namely
then
![]() | (2) |
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is the boundary of
,
is a surface measure on
and
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Now, let us choose three pairs of solutions
that solve, respectively,
![]() | (3) |
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Here
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is the delta function.
The three pairs
1
j
3 constitute the fundamental solution.
The construction of such solutions is provided below. They serve for the representation of any solution in terms of its boundary values as follows:
Lemma 2
Let u, p be a solution of Eq. 1. Then for any interior point
![]() | (4) |
(See proof in Appendix 2.)
We point out that this Lemma represents the essential feature of the BEM. Note that the boundary elements
depend on the derivatives of the unknown solution on
In Lemma 4 below, we show how they are evaluated in terms of the given boundary values of u.
Fundamental solutions
The next step is to construct the fundamental solution, i.e., the three pairs of solutions to Eq. 3. We will actually do that in two dimensions. The three-dimensional case may be treated similarly. We denote here
We choose, without loss of generality, j = 1 in Eq. 3 and thus seek solutions of
![]() | (5a) |
![]() | (5b) |
Taking the divergence of both sides of Eq. 5a, using Eq. 5b, we have
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Let
where we require
As is well-known (Roach, 1982
),
so that
By Eq. 5a, for
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![]() | (6a) |
![]() | (6b) |
Since
there exists a function
such that
From Eq. 6b, it follows that
which is a condition that must be satisfied by
.
Looking for
of the form
we get
Assuming that
is radially symmetric about
,
we find that
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By integration,
Integrating once again yields
Now,
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We may ignore the constant
and obtain
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To summarize, we have for j = 1, 2,
![]() | (7) |
![]() | (8) |
As a corollary we can now compute the terms
in Eq. 4.
Lemma 3
For the fundamental solution, the terms
may be written in the following form:
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Following the discussion after Lemma 2, we finally express
in terms of the given boundary values.
Lemma 4
Suppose
is smooth, then for
![]() | (9) |
| TEST PROBLEMS |
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Test problem 1: Stokes equations for flow over a cylinder with radius R = 10 and v = 1
The boundary conditions are given on
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In this case the exact solution is known. It is given by
in
By Eq. 9
![]() | (10) |
It can be shown that
therefore,
whenever
After discretizing
by a 24-node polygon, and choosing linear approximations to the functions involved, Eq. 10 reduces to a set of algebraic linear equations.
Table 1 A presents the solutions
(columns 4 and 5) at the nodal points
(column 2) on the first quarter of the boundary
Columns 6 and 7 of Table 1 contain the numerical ratios
and
These values should be compared with the exact values, both of which are 0.2.
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where
are the errors in the traction for two different grids with meshes
Since the boundary is approximated by a polygon, first order convergence is expected.
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relative to the fluid that surrounds it, whereas
as
The total force, Fi, acting on the cylinder is:
where F1, F2 are forces in the x, y directions, respectively. We denote D = F1 the total drag and L = F2 the total lift on the cylinder.
The drag for low to moderate Reynolds numbers (high to moderate viscosity) is known to behave as
where U is the norm of the velocity field at infinity, a is the cylinder's radius,
is the density,
and
is the Reynolds number (Lamb, 1932
; Batchelor, 1967
).
In Table 2 A, we show the computed drag (column 2) and lift (column 5) with 150 points on the cylinder. In column 2 we represent the expected drag as calculated by Batchelor (1967
, page 246), i.e.,
where
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Table 2 B presents the errors in the computed tractions for various values of viscosity and for various number of grid points. The computed rate of the convergence is defined by
where
are the errors in the traction for two different grids with meshes
The computed rate of convergence ranges from 1.05 to 17.5, where first order accuracy is expected.
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| THE BACTERIAL FLAGELLAR FILAMENT |
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9.7 Å for complex filaments; see Trachtenberg et al. (1986Here, we confine our analysis to the two-dimensional case. We compare single cross sections of the actual three-dimensional density maps of Rhizobium to a circular cross section of a cylinder of similar diameter (see "test problems") and to a cross section through an idealized Archimedean screw of the same helical parameters (see below).
The surface topology of the three-dimensional density map is defined by the outermost contour line. We lowered the contour level so that a closed, continuous line defines the outer surface of the cross section and represents
100% of the protein's volume. To reduce the structure to an idealized mechanical analog and simplify it, the internal densities (see Cohen-Krausz and Trachtenberg (1998)
; Trachtenberg et al. (1987)
) were reduced to a solid cylinder. The external three-start, right-handed helical windings were taken as external, continuous, smooth blades protruding from the central shaft with helical dimensions of pitch, off-axial tilt, and radial depth similar to those of Rhizobium. In three dimensions, such a reduced form becomes a three-start Archimedean screw. In cross section it is a symmetrical structure of three blades protruding from a central, solid shaft. The leading and trailing edges of the blades were shaped so as to optimize hydrodynamic performance.
A surface view of a three-dimensional reconstruction of R. lupini is shown in Fig. 1 A. Its mechanical analog is shown next to it in Fig. 1 B. The respective cross sections are shown in Fig. 2, A and B. The corresponding cylinder analyzed would be the solid body from which the Archimedean screw was carved out.
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23 helical repeats each and a typical swimming velocity of 5.24 x 10-3 cm/s (Trachtenberg et al., 1987
The length, L, of an average helical repeat is: L = [P2+(
D)2]1/2 = 2.96 x 10-4 cm. The supercoiled filament is at its maximal diameter, = 9.42 x 10-5 cm, when it is tightly coiled, i.e., when P = d. Note that Dmax increases as the filament, L, is tilted by an angle
(D = 2L sin
; see Fig. 3, right). At
= 30°, it may increase about fivefold. Such off-axial filament tilts were observed in dark-field images (S. Trachtenberg, unpublished) and in images of fluorescently labeled filaments (Scharf, 2002
; Turner et al., 2000
) of R. lupini.
Bacterial propellers have been reported to rotate at frequencies, f, up to
1700 Hz (
1 x 105 rpm (McCarter, 2001
)). Thus, the velocity, v, of a point on the propeller's surface would be: v =
Df. Under these conditions (L
10-3 cm,
= 30°) the flow over a point on the surface at the filament's end would be
5.92 cm/s. For comparison, the velocity, v, of a point on an axial filament of typical parameters (D = 6 x 10-5 cm, f = 100 Hz) would be
1.9 x 10-2 cm/s.
The fluid environment in which the propeller rotates is defined by its density,
, and viscosity,
. Here we use, for simplicity, the values for water at 37°C, which are very similar to those of the dilute broth in which bacteria are cultured:
= 0.99299 gr./cm3 and
= 6.915 x 10-3 gr./cm x s. The Reynolds number, Re, under these conditions would be: Re = (D
v)/
.
Under these conditions, the Reynolds number would be
0.051. At a tilt of
30°, Re might reach
0.26. For comparison, Re of a typical filament (see above) is
1.6 x 10-4, indicating the extremity of the case we analyze.
Laminar and turbulent flow over flagellar surfaces
We now apply the BEM method, as described and tested in previous sections, to cross sections of idealized and actual flagellar and circular boundaries. The most crucial factor (ignoring, for the moment, the convolution and complexity of the boundary) determining the transition from laminar to turbulent flow is the Reynolds number (composed of D, v,
, and
). In this regard, the parameters we can vary in our model (of fixed viscosity, density, and temperature) are the propeller's frequency of rotation, off-axial inclination, and supercoiled diameter. These parameters determine, actually, the relative velocity of the incompressible fluid over the boundary. Given the realistic combinations of dimensions, velocities, and viscosities involved, the corresponding Reynolds numbers are in the order of
0.050.25.
What we show below are a series of cross-sectional, scaled maps for each of the three structures studied (cylinder, Archimedean screw, and complex flagellar filament). Each panel corresponds to a given Reynolds number. The fluid flows over each boundary from left to right and is indicated with vectors whose direction and magnitude indicate local direction and velocity of flow. The boundary is sampled at 24 boundary points for a cylinder, 144 points for the Archimedean screw, and 410 points for the flagellar filament. The arrows are layered concentrically at radial intervals of 10 units, i.e., 2 x 10-6 cm, indicating the behavior of the flow at various distances from the boundary. For clarity, normalization of vectors was carried out for the Archimedean screw and flagellar filament.
The flow over a straight cylinder
The first case we test is a circular cross section through a straight, smooth cylinder equal in diameter to a flagellar filament. The flow regimes at Reynolds numbers, Re = 0.2, 1, 10, and 100 are shown. The flow is laminar under all conditions (Fig. 4). See also "test problems".
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Microhydrodynamic studies on flagellar propulsion
The hydrodynamics of swimming cells has been studied analytically and quantitatively by applying various methods (for review, see e.g., Kim and Karilla (1991)
. Slender body theory (SBT) (Brennen and Winet, 1977
; Hancock, 1953
) was applied to cilia and flagella. Myerscough and Swan (1989)
and Ramia (1991)
applied this method to bacteria with a spiral cell body. Resistive force theory (RFT) has been applied to spermatozoa, propagating planar sinusoidal waves (e.g., Gray and Hancock, 1955
) as well as to bacteria with rigid rotating propellers (Chwang and Wu, 1971
; Schreiner, 1971
). The boundary element method has been applied to the study of microbial swimming (Phan-Thien et al., 1987
), the results being in good agreement with both the SBT method (Higdon, 1979
) and experimental observations. The BEM proved best when dealing with bulky, nonslender bacteria, such as Spirillum (Phan-Thien et al., 1987
), whereas the SBT method failed to agree with experimental observations (Myerscough and Swan, 1989
). Ramia et al. (1993)
refined and generalized the BEM to the study of bacterial motility.
Here we report on a higher-resolution application of the boundary element method. We analyze the of actual three-dimensional reconstructions of bacterial flagellar filaments (propellers) rather than treating them as smooth, coiled cylinders or their center lines, as has been done in previous applications of the method. We confined our study to the structural and molecular surface (boundary) details and restricted the analysis to the two-dimensional cross sections taking advantage of the helical symmetry of the propeller. We assumed, in our analysis, that the structures are rigidthis is reasonable on a local scale. We also ignored in our maps the potential hydration shell on the protein surface; the thickness of an adsorbed molecular water layer would be only
3 Å.
We find that the convoluted surface of the "complex" flagellar filament is, under identical conditions, more effective in causing a transition from laminar to turbulent flow than smooth cylinders or analog Archimedean screws of similar dimensions.
The initiation of turbulence at extreme conditions of flagellar function, orientation, and structure suggests its potential involvement in bundle formation and dispersion, switching of helical sense, and polymorphic transitions.
Complex filaments are believed to be an adaptation to motility in highly viscous environments. The thick and dense mucilage layers that these bacteria have to swim across to infect cells are highly structured. Under these circumstances, a rigid filament with a screw-like surface might be helpful. The outer windings seem to provide both the extra rigidity needed for motility in structured media and better propulsion in low viscosity media.
Although this high-resolution, surface-pattern-dependent flow analysis was applied to an extremely small structure at an extreme functional state (and simulated translationally rather than rotationally), the sensitivity of the method points toward its potential in analyzing larger structures in the nanotechnology scale domain.
| APPENDIX 1: PROOF OF LEMMA 1 |
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Applying the divergence theorem to the first and second integrals, we get,
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The two last integrals vanish; the third by symmetry and the fourth since
| APPENDIX 2: PROOF OF LEMMA 2 |
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By Eqs. 1 and 3,
and by the incompressibility condition
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On the other hand, by Lemma 1 and the divergence theorem,
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| APPENDIX 3: PROOF OF LEMMA 3 |
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we have
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| APPENDIX 4: PROOF OF LEMMA 4 |
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the functions
given in Lemma 3, seem to be singular when
approaches
in 
. However, since nk are the components of the normal, it is clear that
(since
approaches the tangent at
). In particular, multiplying by
we get
and since
we see that
is continuous even as
and the integrals on the right-hand side of Eq. 9 are all well defined.
Next, take an interior point
and apply Lemma 2 with the constant function
and p
0. Take instead of
a (solid) ball K
centered at
We get, by Eq. 4,
![]() |
ij for the integral.
Now, we repeat the proof of Lemma 2 (in Appendix 2), but replace
by
\K
(i.e., we cut out from
the part of the ball K
, centered at
which is in
). Then J = 0 (since
is outside of
\K
) and hence, repeating the calculations of the right-hand side in Appendix 2,
![]() |
On the part
K
the normal is directed inside. Inspecting Eq. 8 for
we see that the contribution of this part in the second integral is O(
). As
approaches a point on the boundary, the part
K
approaches a half-sphere, and since
on
K
can be replaced by
(with O(
) error) we get for
using the above derivation
![]() |
is directed inward,
![]() |
By letting 
0 we obtain Lemma 4.
| ACKNOWLEDGEMENTS |
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This project was funded by grants from the Israel Science Foundation and the Israel-USA Binational Science Foundation (S.T.).
Submitted on December 15, 2002; accepted for publication April 10, 2003.
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