- Research article
- Open Access
Simple modeling of FtsZ polymers on flat and curved surfaces: correlation with experimental in vitro observations
© Paez et al 2009
- Received: 4 June 2009
- Accepted: 22 October 2009
- Published: 22 October 2009
FtsZ is a GTPase that assembles at midcell into a dynamic ring that constricts the membrane to induce cell division in the majority of bacteria, in many archea and several organelles. In vitro, FtsZ polymerizes in a GTP-dependent manner forming a variety of filamentous flexible structures. Based on data derived from the measurement of the in vitro polymerization of Escherichia coli FtsZ cell division protein we have formulated a model in which the fine balance between curvature, flexibility and lateral interactions accounts for structural and dynamic properties of the FtsZ polymers observed with AFM. The experimental results have been used by the model to calibrate the interaction energies and the values obtained indicate that the filaments are very plastic. The extension of the model to explore filament behavior on a cylindrical surface has shown that the FtsZ condensates promoted by lateral interactions can easily form ring structures through minor modulations of either filament curvature or longitudinal bond energies. The condensation of short, monomer exchanging filaments into rings is shown to produce enough force to induce membrane deformations.
PACS codes: 87.15.ak, 87.16.ka, 87.17.Ee
- Monte Carlo
- Cylindrical Surface
- Lateral Interaction
- Spontaneous Curvature
- Contractile Ring
Cell and organelle division involve a force generation step to produce the final mechanical division into two independent structures. Eukaryotic cells rely on the formation of a contractile ring based on actin and myosin  whereas bacteria, archea and chloroplasts depend on the ring formed by FtsZ [2–4]. Actin and myosin contractile and force generation mechanism has been associated to an ATP dependent sliding mechanism [5, 6], but the force generation mechanism of the FtsZ ring remains unknown. Contractile molecular motors have not been described in bacteria and recent in vitro experiments indicate that FtsZ alone can form rings that deform tubular liposomes in a GTP-dependent manner , indicating that the capacity to form a contractile ring on a cylindrical surface is embedded in the FtsZ monomers undergoing dynamic polymerization in the presence of GTP.
Different models derived from available in vitro polymerization data have attempted to provide an explanation for the mechanism underlying the force generation, but no consensus has yet been reached. Some force generating mechanisms are based on filament condensation induced by lateral interactions [8–11] while others are based on curvature induced effects associated with GTP binding and hydrolysis [12–17]. Unfortunately, comparison of the simulations with data available from in vitro polymerization assays in bulk solution does not provide detailed enough information to unambiguously identify the prevailing mechanism.
AFM images of FtsZ formed under GTP hydrolyzing conditions show individual filaments exchanging monomers and dynamically reorganizing into different shaped condensed aggregates . In this work, that high resolution structural and dynamic information has been used to develop a comprehensive theoretical model. We present a fine triangular lattice model inspired by the experiments that accounts for and simulates the complex polymorphic filament aggregates observed experimentally. Four parameters are included as basic traits of the FtsZ filaments: the polymeric (GTP-mediated) monomer-monomer bonding energy, the flexibility and preferential angle of the bond between monomers, and the lateral attraction between neighboring filaments.
We have used these monomer-monomer interactions to explore aggregate formation on a cylindrical surface. We found that a subtle modulation of filament curvature or longitudinal bond energy, together with the presence of condensing lateral interactions, easily gives rise to ring like dynamic filament aggregates capable of generating a constriction force.
2.1 Experiments: Atomic Force Microscopy images
Atomic force microscope images of E. coli FtsZ polymerized in the presence of GTP adsorbed on mica were taken with a microscope from Nanotec Electrónica (Madrid, Spain) operated in the jump mode . Silicon nitride tips (DI Instruments) with a force constant of 0.05 N/m were used. A drop of the solution with the E. coli FtsZ polymers (formed upon addition of 10 mM GTP to FtsZ protein solutions in Tris 50 mM, pH7, 0.5 M KCl, and 5 mM MgCl2 buffer) was incubated over freshly cleaved mica. After incubating for a few minutes, samples were washed extensively with working buffer and imaged under buffer solution containing 1 mM GTP. E. coli FtsZ was purified by the calcium-induced precipitation method following the procedure described previously 
2.2 Theory: Model building from experimental data
Kinetic and lattice models of FtsZ polymers proposed until now [8, 9] have been built based on data obtained from bulk solution polymerization experiments or electron microscopy images of fixed filaments. Some of the kinetic models [12, 13] aimed mainly at understanding the cooperative polymerization behavior observed in dilute solution [21–24]. Others have also proposed force generating mechanisms [8, 9, 14–16], but model refinement has been limited by the lack of a detailed combined description of the structure and dynamic rearrangement of individual filaments. The model presented here springs from new experimental data describing the self-organization of individual filaments on a two dimensional surface under buffer conditions in which GTP hydrolysis takes place. Filaments exchange monomers and aggregate into interconnecting structures of different shapes depending on the amount of protein on the surface . The description of the shapes, dimensions and densities of the aggregates provides enough information to model filaments from the essential monomer-monomer interactions. This different level of representation is both simple in its parametric space and very detailed because all the polymerization, cyclation, and aggregation processes come out directly from the monomer-monomer interactions established under the constrains of a crowded and confined two-dimensional system.
Three parameters tune the properties of the longitudinal bond between the monomers forming the filaments. The bond energy -U b can be modulated by the additional energetic cost of deviating contacting monomers from linearity either clockwise (U+) or anticlockwise (U-). No penalization for curving on either direction, U+ = U- = 0, would represent very flexible filaments with no preferential curvature, whereas large symmetric values would produce very stiff and straight filaments. An additional fourth energy parameter in the model describes the lateral attractive interactions -U a , between the monomers .
Monte Carlo (MC) simulations run at different protein densities explore the shapes and rearrangements adopted by the filaments. A full description of the model and the extrapolation to a cylindrical surface is presented in  and in Additional file 1.
2.3 Comparison with experiments
Two dimensional flat surface
The interaction parameters in the fine-grained lattice model can be tuned to reproduce the experimental AFM results (see  and Additional file 1). Comparison of the shape and length of the filaments at low protein coverage with the structures obtained from the model allows calibrating the different energy values. The set of values that provide a good description of the observed structures are: a bond energy U b = 12(± 2)kT ≈ 7.2 kcal/mol, a small left-bent penalization U- = 0.5(± 0.5)kT, U+ = U b to cancel the right-bent and a lateral attraction U a = 0.5(± 0.1)kT ≈ 0.3 kcal/mol. This longitudinal bond energy is comparable to available experimental estimates . The lateral interaction is 20 times weaker than the polymeric bond, explaining the hierarchical structure observed: monomers forming filaments that bundle to form aggregates. A more complete description of the energy calibration procedure is presented in  and in Additional file 1. Fig. 2 shows that the same set of parameters used at different protein coverage gives a good match between theory and experiments over the whole range of observed structures, from isolated spiral clusters at low protein coverage to complex percolating (interconnecting) networks at high protein coverage.
Fig. 3(b-d), with the same longitudinal bond energy and preferential angle between monomers, shows that the excluded area effects and lateral attractions act cooperatively to stabilize longer filaments. Some reaction rate models represent the cooperative polymerization in terms of effective "bundling coefficients" . However those coefficients would depend on protein coverage since the packing constraints shift the energy/entropy balance between the different structures. Our model includes all the "bundling effects" through the value of a unique parameter U a = 0.5 kT, the lateral interaction, that accurately accounts for the bundling and observed cooperative lengthening effect independently of protein density, as shown in Fig. 3
The effective bundling coefficients is included here through the unique parameter U a = 0.5 kT, the lateral interaction, and accurately accounts for the bundling and observed cooperative lengthening effect at any protein density. Below ρ T ≈ 0.4 picomol/cm2 the model follows an ideal (isodesmic) behavior. The extrapolation (broken line) leads to the upper bound of unpolymerized protein concentration of ρ o ≈ 0.0106 picomol/cm2, at which the polymerized fraction would fill the system. The cooperativity induced by the lateral attractions, balanced by packing constraints and filament curvature, produces the saturation of ρ o at 0.0091 picomol/cm2 (86% of its ideal limit). The snapshots in the insets are typical configurations of our model in the regions I (ideal polymers), II (non-ideal polymers), and III (condensed aggregates). Notice that from the rough information given by ρ o (ρ T ) we could not see any difference between the regimes II and III, although they clearly differ in the degree of condensation. In region II the interaction between filaments leads to the formation of longer filaments stabilized by lateral interactions, whereas in region III higher order roll-shaped aggregates with a well defined typical size are present. The AFM experimental information, equivalent to that given in the insets, provides more structural detail than any global measurement of the FtsZ polymerized fraction. It is able to clearly distinguish the condensation of clusters from the mere cooperative polymerization, thus providing experimental support to the predictions of this simple but accurate model of FtsZ polymerization. To illustrate the contribution of this model to previously existing ones, the square-lattice described in a very recent work  is used to simulate filaments formed on a planar surface of similar size and protein coverage than the ones observed experimentally (Fig. 3(e)). The square-lattice model includes a very strong longitudinal bond (17 kT) and a weaker lateral attraction (0.2 kT) between parallel filaments and neglects any flexibility or curvature of the filaments. Furthermore, the lateral attraction is only considered between filaments with the same orientation. These assumptions lead to the formation of isolated elongated drop condensates of different orientation interacting only through excluded area effects very different from the percolating and open polymorphic structures observed experimentally.
The inclusion of curvature and flexibility, together with the lateral interactions, is therefore crucial for the assembly of aggregates with the global structures and filament sharing observed experimentally.
2.4 Extrapolation to a cylindrical surface
We first deal with modulations affecting filament curvature while the longitudinal and lateral interactions are directly extrapolated from the planar to the cylindrical geometry. Again, in this case we assume that the polymer does not feel the curvature of the cylinder. Eliminating the on-plane preferential curvature of the filaments by setting equal values for both bent bond penalizations allows the spontaneous formation of rings, as shown in Fig. 5(c). The results are quite robust with respect to the particular value of U±, which may be tuned to produce very flexible filaments (like in this figure with U± = kT) or much rigid ones (setting larger bending penalizations).
Alternatively, in Fig. 5(d) ring formation is also induced when adding an off-plane preferential curvature while keeping the on-plane curvature. Although we have no experimental data to quantify this off-plane energy, we can give an orientational dependence to the bond energy, and explore its effect using our lattice model. The result shown in the figure corresponds to a small bond modulation of ΔU b = 0.2 kT, over the planar bond estimate U b = 12 kT. This weak energetic bias in the alignment of the bonds is enough to overcome the tendency of the filaments to form rolls, and drives them to form ring condensates (see  and Additional file 1).
Additional file 2: First movie out of 5 that correspond to figure S3 in supplementary material. MC simulation on a cylinder using the conditions described in Fig. 5a of the main text. (MPG 12 MB)
Additional file 3: Second movie out of 5 that correspond to figure S3 in supplementary material. MC simulation on a cylinder using the conditions described in Fig. 5b of the main text. (MPG 10 MB)
Additional file 4: Third movie out of 5 that correspond to figure S3 in supplementary material. MC simulation on a cylinder using the conditions described in Fig. 5c of the main text. (MPG 13 MB)
Additional file 5: Fourth movie out of 5 that correspond to figure S3 in supplementary material. MC simulation on a cylinder using the conditions described in Fig. 5d of the main text. (MPG 13 MB)
The condensed aggregates formed under the effect of lateral attractions are driven towards a ring shape by any of the weak effects presented above. The rings obtained through the three alternative minor modifications (Fig. 5(c-e)) are formed as collections of parallel short filaments that actively exchange monomers and span only a fraction of the circumference. The parameters governing the FtsZ polymers on mica directly transferred to a cylindrical surface show that fine tuning the energetic balance confers the filament aggregates the high plasticity needed to form dynamic rings.
Extrapolating the model to explain the formation of filament aggregates on a cylindrical surface also allows exploring possible force generating mechanism and quantitatively estimating the generated forces. The two interactions identified above as important in determining the ring forming capacity, lateral attraction between filaments and filament flexibility supporting a spontaneous curvature, have also been proposed as alternative force generating mechanism [9, 16]. Our model indicates that in fact both could be relevant and there is no need to consider them as being mutually exclusive (see Additional file 1).
The radial force produced by single FtsZ filament ring kept around a cylinder by lateral attractions was previously evaluated within Langevin dynamics simulations with an off-lattice model . We are now interested in exploring differences between the force generated by a long stabilized filament, and that of the Z-rings described here formed under GTP hydrolyzing conditions. These living polymers now retain their monomer exchanging capacity and form rings constituted by a collections of condensed disordered short filaments. We have used a mixed-approach in which the typical filament length distribution obtained with the triangular lattice model is transferred to the off-lattice model in ref. , for Langevin simulations of the equilibrated rings (see Additional file 1). The global structure of the ring is maintained by the attractive lateral interactions, and the distribution of the instantaneous radial force gives F R = 90(± 45)pN, i.e. slightly larger and more spread than in the single filament case (see Figure S4 and text in Additional file 1)). The force mechanism based on the lateral attractions, proposed and analyzed in ref.  for a single filament, is therefore not essentially modified by the multi-filamentary composition of the Z-ring. Within the calibration of that lateral interaction obtained from the experimental AFM data, the estimated radial forces fall within the correct order of magnitude to explain the observed deformation of the cylindrical liposomes under the action of FtsZ. Fig. 5(f) shows a central deformation of a cylinder similar to the one described in . The figure was obtained from estimating the deformation of a multilamellar tubular vesicle subjected to the radial force of a ring formed when the bonding energy U b decreases by 2.5% away from the central cylindrical segment (see Additional file 1 for details).
The lattice model presented here identifies the main interactions governing filament aggregate formation: a longitudinal interaction between monomers with preferential curvature and high flexibility and a lateral attraction between adjacent filaments. An interesting picture emerges from the quantitative estimate of their relative energetic values: the rich dynamic polymorphism including straight and curved condensates of various radius and densities observed experimentally can all be simulated from monomers diffusing on a two dimensional surface with a reduced set of parameters describing the basic interactions between FtsZ monomers. The comparison with the high resolution experimental results provided by the AFM images gives strong support to this minimal model that includes all the relevant interactions governing filament formation and condensation over a wide range of surface protein density.
A major conclusion of our analysis is that the interactions between the monomers are tuned to produce complex interconnecting structures formed by curved and straight filament bundles. Monte Carlo simulations of the lattice model with arbitrary values for the interaction parameters U a , U b and U±, show that in most cases the system would condense from a low density phase made of short polymers into a compact 2D nematic phase with parallel filaments, or into a compact meta-crystal made of very rigid spiral rolls(see Additional file 1). The polymorphic structures shown in Fig. 2 are obtained only under conditions where monomers exchange and a close balance between the spontaneous curvature and the lateral attraction of the filaments exists . Coarser lattice model description of FtsZ [8, 9] miss that balance and describe the FtsZ bundles as very rigid objects.
The fine balance between the energies governing monomer-monomer interactions produces very malleable polymers. An important consequence of this ductility is that, when formed on a cylindrical surface, as compared to a flat mica surface, small modulations can induce the spontaneous formation of rings. We have shown that at least three different conditions produce the same outcome: the reduction of the on-plane curvature, the existence of an off-plane spontaneous curvature, or a spatially localized weakening of the longitudinal bond are all enough to induce the formation of rings. Previous models predicted more stringent conditions for ring formation  and required the localized presence of MinC to originate rings. Our comprehensive model indicates, in agreement with available experimental evidence that indicates that MinC is not required to form rings (), that alternative small perturbations in the interactions governing filament polymerization can also induce the formation of typical structures frequently observed in vivo: rings, under the conditions explained above, but also open helices when the lateral attractions are weakened, as is further described in . Within the interaction parameters explored here, long filament bundles with helical orientation on the cylindrical membrane are observed as metastable structures. The movie S3-5c Fig.S3 presented in Additional file 4 shows their formation and their final adsorption by the stable ring structures.
The model perceives that reducing the spontaneous curvature observed on the mica surface or facilitating a small off-plane curvature would shift filament aggregates toward the formation of rings on a cylindrical surface. The on-plane spontaneous curvature observed can be easily canceled through different mechanisms: the formation of bundles of filaments with mixed plus-minus orientations (and Additional file 1)or under any bundling promoting conditions [29–32]. An off-plane curvature could be associated to the presence of a long disordered segment in the membrane protein ZipA considered to be relevant in anchoring and bundling FtsZ filaments: the combination of reducing the on-plane curvature by bundling and providing a looser anchoring of the FtsZ protein to the surface facilitates the formation of rings on a cylindrical surface.
The rings observed in the MC simulations of our model are formed by short dynamic filaments and are essentially independent of the mechanism chosen to stabilize them Fig. 5(c-e). These predicted structures are similar to the incomplete filaments constituting the ring observed recently in Caulobacter crescentus  and their formation under monomer-monomer exchange conditions also agree with the observation that the rings formed in bacterial cells are capable of sustaining a dynamic monomer exchange [34, 35].
It is remarkable that the simple model presented can account qualitatively for the most extensively described signature traits of FtsZ polymers: large polymorphism [29, 36–42] formation of dynamic rings and helices on the bacterial cylindrical surface [33–35, 43, 44] and generation of a constriction force . Furthermore, the plasticity described provides a rational explanation for the observed sensitivity of the polymer structure to precise experimental biochemical conditions: small modulations of monomer interactions can have a strong effect on the shape of the aggregates formed. The model also indicates that dynamic monomer exchange is required for the formation of condensed aggregates. This suggests that the essential role played by the GTPase activity in vivo could be related to maintaining the monomer dynamic exchange required to adopt the functional polymer aggregate conformation.
Recent experiments  showing the deformation of a tubular multilamelar liposome under the action of a modified form of the FtsZ protein provide the possibility of estimating from the observed deformation the minimal force required to produce such effect. Our estimate using the Helfrich hamiltonian model indicates the deformation requires a radial force of approximately 50pN (see Additional file 1). The F R = 90(± 45)pN generated by a dynamic condensed rings indicate that a contractile mechanism based on lateral attractions is robust and powerful enough to support the observed membrane contraction of a multilamelar liposome.
The debate between different alternatives for the formation of the Z-rings and the mechanism for the production of the constraining force has not been solved using coarse-grained models, which only incorporate a partial description of the FtsZ filaments. The model presented here is a minimal, but qualitatively complete, representation of this complex system and shows that the existing close balance between the curvature, flexibility and lateral attractions determine the plasticity of the FtsZ filament aggregates that can reconcile apparent contradictory models. We may speculate that such tuning of the E. coli FtsZ interactions, under active monomer exchange conditions for GTP-controlled polymerization, is related to the biological role of the protein: to form the septal ring at the correct time of the bacterial cycle and at the correct position on the bacterial membrane, driven by subtle bio-chemical signals.
In summary, this manuscript presents a model for FtsZ filaments formation extracted from the observation of the structure and the dynamic behaviour of individual FtsZ filaments imaged with atomic force microscopy. We observe that lateral interactions and curvature effects, both considered alternatively in previous models, are important to explain filament behaviour and, additionally, that their energetic balance is relevant to explain the rich polymorphism observed experimentally. The picture that emerges is that the FtsZ living polymers are malleable and very easily modulated to condense into contractile rings on a cylindrical surface.
The identification of the relevant monomer monomer interactions within the FtsZ filaments, their relative energetic contributions and the rich polymorphic behaviour supported by their finely tuned interactions constitutes a realistic and experimentally grounded account of the basic principles governing Z-ring contractile ring formation and represents a good starting point for future model refinements incorporating the effects of modulating agents that determine the positions, formation and contraction of the FtsZ ring in vivo.
We thank the support of the Dirección General de Investigación, Ministerio de Ciencia y Tecnología of Spain, under grants FIS2007-65869-C03-01 (P.T.), BIO2008-04478-C03-00 (M.Vélez, G.R. and M.V.) and CSD00C-07-25200 2008-2011 (M.Vélez) and the Comunidad Autónoma de Madrid under grants S-0505/Esp-0299 (P.T.), S-0505/MAT-0283 (M.Vélez), S-BIO-0260/2006-Combact (M.V., G.R. an J.M.). J.M. was recipient of a Ramón y Cajal fellowship financed by the European Social Fund and the Ministerio de Educación y Ciencia. We want to thank Mercedes Jiménez for purifying FtsZ and the referees for contributing through their suggestions to clarify the content of this paper.
- Guertin DA, Trautmann S, McCollum D: Microbiology and Molecular Biology Reviews. 2002, 66: 155-178. 10.1128/MMBR.66.2.155-178.2002.View ArticleGoogle Scholar
- Margolin W: Nature Reviews Molecular Cell Biology. 2005, 6: 862-871. 10.1038/nrm1745.View ArticleGoogle Scholar
- Vicente M, Rico A, Martínez-Arteaga R, Mingorance J: J of Bacteriology. 2006, 188: 1927-View ArticleGoogle Scholar
- Osteryoung KW, Nunnari J: Science. 2003, 302: 1698-1704. 10.1126/science.1082192.View ArticleGoogle Scholar
- Vavylonis D, Wu J, Hao S, OShaughnessy B, Pollard TD: Science. 2008, 319: 97-100. 10.1126/science.1151086.View ArticleGoogle Scholar
- Shlomovitz R, Gov NS: Biophysical Journal. 2008, 94: 1155-1168. 10.1529/biophysj.107.111351.View ArticleGoogle Scholar
- Osawa M, Anderson D, Erickson H: Science. 2008, 320: 792-10.1126/science.1154520.View ArticleGoogle Scholar
- Lan G, Dajkovic A, Wirtz D, Sun SX: Biophys J. 2008, 95: 4045-4056. 10.1529/biophysj.108.132837.View ArticleGoogle Scholar
- Lan G, Daniels BR, Dobrowsky TM, Wirtz D, Sun SX: Proc Natl Acad Sci USA. 2009, 106: 121-126. 10.1073/pnas.0807963106.View ArticleGoogle Scholar
- Hörger I, Velasco E, Mingorance J, Rivas G, Tarazona P, Vélez M: Physical Review E. 2008, 77: 011902-10.1103/PhysRevE.77.011902.View ArticleGoogle Scholar
- Hörger I, Velasco E, Rivas G, Vélez M, Tarazona P: Biophys J. 2008, 94: L81-L83. 10.1529/biophysj.107.128363.View ArticleGoogle Scholar
- Huecas S, Llorca O, Boskovic J, Martín Benito J, Valpuesta JM, Andreu JM: Biophys J. 2008, 94: 1796-1806. 10.1529/biophysj.107.115493.View ArticleGoogle Scholar
- Miraldi E, Thomas PJ, Romberg L: Biophys J. 2008, 95: 2470-2486. 10.1529/biophysj.107.126219.View ArticleGoogle Scholar
- Surovtsev IV, Morgan JJ, Lindahl PA: PLoS Comput Biol. 2008, 4: e1000102-10.1371/journal.pcbi.1000102.View ArticleMathSciNetGoogle Scholar
- Ghosh B, Sain A: PRL. 2008, 101: 178101-10.1103/PhysRevLett.101.178101.View ArticleGoogle Scholar
- Allard J, Cytrynbaum EN: Proc Natl Acad Sci USA. 2009, 106: 145-150. 10.1073/pnas.0808657106.View ArticleGoogle Scholar
- Erickson H: Proc Natl Acad Sci USA. 2009, 106: 9238-9243. 10.1073/pnas.0902258106.View ArticleGoogle Scholar
- Mingorance J, Tadros M, Vicente M, González JM, Rivas G, Vélez M: J Biol Chem. 2005, 280: 20909-20914. 10.1074/jbc.M503059200.View ArticleGoogle Scholar
- Moreno-Herrero F, de Pablo PJ, Fernández-Sánchez R, Colchero J, Gómez-Herrero J, Baró AM: Appl Phys Lett. 2002, 81: 2620-2622. 10.1063/1.1509856.View ArticleGoogle Scholar
- Rivas G, López A, Mingorance J, Ferrándiz MJ, Zorrilla S, Minton AP, Vicente M, Andreu JM: J Biol Chem. 2000, 275: 11740-11749. 10.1074/jbc.275.16.11740.View ArticleGoogle Scholar
- González JM, Vélez M, Jiménez M, Alfonso C, Schuck P, Mingorance J, Vicente M, Minton AP, Rivas G: Proc Natl Acad Sci USA. 2005, 102: 1895-1900. 10.1073/pnas.0409517102.View ArticleGoogle Scholar
- Caplan MR, Erickson HP: J Bio Chem. 2003, 278: 13784-13788. 10.1074/jbc.M300860200.View ArticleGoogle Scholar
- Chen Y, Bjornson K, Redick SD, Erickson HP: Biophys J. 2005, 88: 505-514. 10.1529/biophysj.104.044149.View ArticleGoogle Scholar
- Chen Y, Erickson HP: J Biol Chem. 2005, 280: 22549-22554. 10.1074/jbc.M500895200.View ArticleGoogle Scholar
- Paez A, Mateos-Gil P, Vélez M, Tarazona P: Soft Matter. 2009, 5: 2625-2637.Google Scholar
- Huecas S, Andreu JM: J Biol Chem. 2003, 278: 46146-10.1074/jbc.M307128200.View ArticleGoogle Scholar
- Dajkovic A, Lan G, Sun S, Wirtz D, Lutkenhaus J: Current Biology. 2008, 18: 235-244. 10.1016/j.cub.2008.01.042.View ArticleGoogle Scholar
- Yu X, Margolin W: Mol Microbiol. 1999, 32: 315-26. 10.1046/j.1365-2958.1999.01351.x.View ArticleGoogle Scholar
- González JM, Jiménez M, Vélez M, Mingorance J, Vicente M, Andreu JM, Rivas G: J Biol Chem. 2003, 278: 37664-37671. 10.1074/jbc.M305230200.View ArticleGoogle Scholar
- Hale C, Rhee A, De Boer PAJ: J of Bacteriology. 2000, 182: 5153-5166. 10.1128/JB.182.18.5153-5166.2000.View ArticleGoogle Scholar
- Low HH, Moncrieffe MC, Löwe J: J Mol Biol. 2004, 341: 839-852. 10.1016/j.jmb.2004.05.031.View ArticleGoogle Scholar
- López Navajas P, Rivas G, Mingorance J, Mateos-Gil P, Hõrger I, Velasco E, Tarazona P, Vélez M: J Biol Phys. 2008, 34: 237-247. 10.1007/s10867-008-9118-8.View ArticleGoogle Scholar
- Li Z, Trimble M, Brun YV, Jensen GJ: EMBO J. 2007, 26: 4694-4708. 10.1038/sj.emboj.7601895.View ArticleGoogle Scholar
- Stricker J, Maddox P, Salmon ED, Erickson HP: Proc Natl Acad Sci USA. 2002, 99: 3171-3175. 10.1073/pnas.052595099.View ArticleGoogle Scholar
- Niu L, Yu J: Biophys J. 2008, 95: 2009-2016. 10.1529/biophysj.108.128751.View ArticleGoogle Scholar
- Lu C, Reedy M, Erickson H: J Bacteriol. 2000, 182: 164-170. 10.1128/JB.182.1.164-170.2000.View ArticleGoogle Scholar
- Oliva M, Trambaiolo D, Löwe J: J Mol Biol. 2007, 373: 1229-1242. 10.1016/j.jmb.2007.08.056.View ArticleGoogle Scholar
- Erickson H, Taylor DW, Taylor KA, Bramhill D: Proc Natl Acad Sci USA. 1996, 93: 519-523. 10.1073/pnas.93.1.519.View ArticleGoogle Scholar
- Bramhill D, Thompson CM: Proc Natl Acad Sci USA. 1994, 91: 581317-10.1073/pnas.91.13.5813.View ArticleGoogle Scholar
- Yu X, Margolin W: EMBO J. 1997, 16: 5455-5463. 10.1093/emboj/16.17.5455.View ArticleGoogle Scholar
- Mukherjee A, Lutkenhaus J: J Bacteriol. 1999, 181: 823-32.Google Scholar
- Löwe J, Amos LA: EMBO J. 1999, 18: 2364-71. 10.1093/emboj/18.9.2364.View ArticleGoogle Scholar
- Michie KA, Monahan LG, Beech PL, Harry EJ: J of Bacteriology. 2006, 188: 16810690-View ArticleGoogle Scholar
- Andrews SS, Arkin AP: Biophys J. 2007, 93: 1872-1884. 10.1529/biophysj.106.102343.View ArticleGoogle Scholar
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