Abstract
In Myxococcus xanthus, cell polarity and motility are regulated by the small GTPase MglA and its associated
regulators, MglB, a potential GTPase Activating Protein and the RomRX complex, a potential Guanine
nucleotide Exchange Factor. However, recent results have questioned the exact function of these regulators.
Using a new type of fluorescent nucleotides for fluorescence-based anisotropy, we first demonstrate that
RomRX does not function as a GEF but as an effector that binds strictly to MglA GTP. Secondly, based on an
enzymology model, we found that MglB functions as a weak catalyst, unlike typical GAPs, and requires
additional factors to dissociate from MglA. We demonstrate that RomRX, and specifically RomR, effectively
competes with MglA by sequestering MglB. This low affinity interaction is still permissive for GAP activity
but sufficient to partition these proteins in vivo as indicated by a biomimetic assay in oil emulsion droplets
reconstituting these interactions in a cell-sized environment. These results suggest a new model for cell
polarity where RomRX exerts a dual function, targeting MglA GTP to the pole via its effector function and
preventing its accumulation at the lagging pole by destabilizing the MglA-MglB complex.
Keywords
Cell polarity/ GTPase/ MglA/ Myxococxxus xanthus /Roadblock proteins
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3
Introduction
Cell polarity, the asymmetric organization of cellular components, is a fundamental characteristic of many
living organisms. It is essential for effective cell motility and a myriad of other directional functions, such as
epithelial transport, neuronal signaling, and body axis specification in embryos (Allam et al, 2018; Mayor &
Etienne-Manneville, 2016) . A polarized cell establishes a distinct axis with a specific front, known as the
polarity site, enabling it to maintain functionally distinct domains. This ability relies on intricate interactions
between various protein complexes, including small GTPases, polarity proteins, and cytoskeletal components,
that regulate multiple signaling pathways. In most eukaryotic cells, small GTPases of the Ras superfamily act
as molecular switches in many signaling pathways and play a central role in cell polarization processes. For
example, the Rho-family GTPases, including Cdc42 (one of the most highly conserved GTPases) and its
relatives (Rac in animals, Rop in plants), are crucial for controlling polarization. Polarization signals act
through Cdc42 regulators to accumulate Cdc42-GTP at the future cell front. Cdc42-GTP then organizes the
cytoskeleton via various effectors, shaping the polarized morphology of the cell (Chiou et al, 2017; Iden &
Collard, 2008). Understanding the molecular details of polarity is essential for understanding various diseases,
as disruptions in polarity mechanisms are often linked to cancer, neurodegenerative disorders, and immune
system deficiencies (Piroli et al, 2019; Houston, 2017).
The discovery that bacterial cells are also polarized dates back to the first electron micrograph showing
flagella at the cell poles of bacteria. Since then, efforts to study polarity-based mechanisms on model
organisms including B. subtilis, C. crescentus, and E. coli have offered fundamental insights into the
mechanisms underlying the spatiotemporal organization of bacterial cells (Kirkpatrick & Viollier, 2011;
Laloux & Jacobs-Wagner, 2014; Rowlett & Margolin, 2013; Wettmann & Kruse, 2018; MacCready et al ,
2018; Mauriello, 2019; Schumacher & Søgaard-Andersen, 2017) . Similar to eukaryotes, bacterial polarity can
be stably maintained over time, dictating the assembly and activity of specific cellular organelles such as
flagella, pili and stalks. Alternatively, polarity can be a dynamic process involving the active diffusion and
accumulation of polarized protein to precise locations as seen in the front-rear polarity of moving Myxococcus
xanthus or Pseudomonas aeruginosa cells (Herrou & Mignot, 2020; Carreira et al, 2020; Kühn et al, 2023).
M. xanthus, a Gram-negative delta proteobacterium, glides on solid surfaces along their long axes with well-
defined front-rear polarity. Directed cell motility is critical for its complex life cycle, which includes
multicellular development and cooperative predation (Dinet & Mignot, 2023; Herrou & Mignot, 2020;
Mercier & Mignot, 2016). M. xanthus cells move using two genetically distinct motility systems. The gliding
(A, adventurous) motility system enables single-cell movement at the colony edges. At the molecular level,
A-motility is powered by the Agl-Glt motor, which propels individual cells by adhering to specific points
along the cell surface known as bacterial focal adhesions (Mignot et al, 2007; Faure et al, 2016). M. xanthus
cells can also move in groups using a twitching-like (S, social) motility that involves type IV pili, which
extend and retract to pull groups of cells together, facilitating collective movement across surfaces (Mercier et
al, 2020). Remarkably, M. xanthus cells control their movement by reversing direction, achieved through the
redirection of their motility apparatus to the opposite cell pole (Herrou & Mignot, 2020; Zhang et al, 2012a).
These events termed “reversals” correspond at the cellular level, to a switching of the leading and lagging cell
poles.
The establishment and maintenance of polarity reversals in M. xanthus involves a finely tuned interplay
between signaling proteins and regulatory complexes, with the small Ras-like GTPase MglA playing a central
role. Similar to other well-characterized eukaryotic small Ras-like GTPases, MglA binds to GTP (MglA GTP)
and localizes at the leading pole where it interacts with effector proteins to activate each of the motility
systems spatially, SgmX for the S-motility system (Mercier et al, 2020; Bautista et al, 2023), GltJ, AglZ and
MreB for the A-motility system (Attia et al, 2024; Treuner-Lange et al, 2015). Inactivation of MglA occurs
upon GTP hydrolysis because the GDP-bound state (MglA GDP) cannot interact with effector proteins (Dinet &
Mignot, 2023; Zhang et al , 2010 ). In the cell, the MglA GTP/GDP cycle is tightly regulated by MglA
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interacting partners, notably the MglB protein and the complex formed by the RomR and RomX proteins
(RomRX). Together, these four proteins form the core regulatory components of the polarity control network
(Leonardy et al, 2010; Zhang et al, 2010, 2012b; Keilberg et al, 2012). The exact design of the regulatory
interactions by which these proteins establish the polarity axis remains a topic of debate and is the subject of
this article.
The current model suggests that the functions of MglB and RomRX are spatially separated, with MglB acting
at the lagging cell pole and the RomRX complex at the leading cell pole (Herrou & Mignot, 2020;
Szadkowski et al, 2019; Carreira et al, 2022). This is believed to generate a polarity axis via the following
mechanism:
(i) At the lagging cell pole, MglB, a so-called roadblock domain protein is recruited by another roadblock
domain protein MglC (Carreira et al, 2023). MglB interacts with MglA and activates GTP hydrolysis activity
allosterically (see below, MglB is hence defined as a GTPase-Activating Protein (GAP) for MglA). In vitro,
MglB is sufficient to activate hydrolysis, but in the cell this process is further assisted by a cognate activator,
RomY (Szadkowski et al, 2022). In vivo, the action of MglB precludes accumulation of MglA at the lagging
pole.
(ii) Conversely at the leading pole, RomRX is proposed to exert a dual function: first, promoting the insertion
of GTP over GDP in MglA and thus acting as a guanine nucleotide exchange factor (GEF), and second, acting
as a primary determinant for the polar targeting of MglAGTP (Szadkowski et al,
2019).
This model is attractive and inspired by other polarity regulations, for example in yeast (Chiou et al, 2017).
There are however a number of reported inconsistencies that question its validity:
- First, the mechanism of MglA polar localization is not well understood. While it is clear that an interaction
between RomRX and MglA GTP is required for localization at the leading cell pole, these proteins only
colocalize during a short window of time after a reversal. Once the cell starts moving in the new direction, the
RomRX complex relocalizes gradually at the lagging cell pole but MglA GTP remains bound to the leading pole
(Guzzo et al, 2018; Szadkowski et al, 2019; Herrou & Mignot, 2020) . This clearly suggests that other factors
maintain MglA at the leading cell pole once its localization is established. There is also the conundrum that
antagonistic GAP and GEF systems co-localize at the lagging pole once polarity is established, which could
only be explained by additional layers of regulations.
- Second, the GEF activity of RomRX remains questionable because conventional GEFs generally operate by
first forming a complex with the GDP-bound GTPase, leading to nucleotide dissociation, and then allowing
GTP-binding to displace the GEF (Bos et al, 2007; Cherfils & Zeghouf, 2013) . In the RomRX system, RomR
binds to RomX, which in turn interacts with MglAGTP. This ternary complex has a higher affinity for GTP, but
as it cannot form in the presence of MglA GDP (Szadkowski et al, 2019) . However, GEFs generally bind to
both the GTP and GDP-bound states of their substrates with equal affinity, favoring the detachment of
nucleotides irrespective of their specificity, the directionality of the exchange being dependent on the relative
concentrations of the nucleotides (Bos et al, 2007; Hennig et al, 2015; Cherfils & Zeghouf, 2013) . Therefore,
the strict interaction between RomX interacts and MglA GTP is inconsistent with a GEF activity and requires a
re-examination of the function of RomX and RomR in vitro.
- Third, although all studies converge to show that MglB activates GTP hydrolysis, its function as a canonical
GAP is also questionable. First, MglB binds to MglA in a 2:1 stoichiometry, a unique configuration for
GTPase/GAP complexes. This binding positions a critical arginine of MglA (Arg53) into the GTP binding
site, remodeling it into a catalytic site (Baranwal et al, 2019; Miertzschke et al, 2011). While this explains
how MglB promotes GTP hydrolysis, there are also a number of unexpected additional regulations that arise
from the asymmetry of the MglB dimer : i) the binding of additional regulators on one of the MglB
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monomers, i.e. the GltJ ZnR domain (Attia et al, 2024), and perhaps RomY, which activates the GAP activity
(Szadkowski et al , 2022) ; and ii), the association of MglA with a C-terminal helix of one of the MglB
monomers (Baranwal et al, 2019; Chakraborty et al, 2024). This feature is especially intriguing because the
Ct-helix prevents the dissociation of MglA GDP following hydrolysis (Baranwal et al, 2019). This property is
not canonical for GAPs, which are known to dissociate from the cognate GDP-bound GTPase (Cherfils &
Zeghouf, 2013). In fact this interaction is very specific of the interaction with MglA, because MglB can also
act as a GAP for SofG, another small GTPase in M. xanthus , but in this case it dissociates from SofG GTP
(Kanade et al, 2021). In vivo, the MglB Ct-helix is critical for the unipolar localization of MglB because in its
absence, MglA, RomR and MglB all co-localize at both cell poles (Baranwal et al , 2019) . The molecular
mechanism for this localization pattern is not clear but it shows that regulating the interaction between MglA
and MglB is essential. In summary, the Ct helix prevents the MglA-MglB complex from dissociating, which
is the main basis of the current polarity model.
The observations described above call for in-depth quantitative analyses of the interactions between MglA
and its regulators MglB and RomRX. In this study, we have developed a new fluorescence anisotropy assay
to study these interactions. By combining these tools with an enzymatic assay that measures GTP hydrolysis,
we elaborated a new enzymatic model of the MglB-dependent MglA GTP hydrolysis pathway. The model
revealed the need of an additional partitioning system, which we identified as the RomRX complex. Rather
than functioning as a GEF, it either interacts with MglA-GTP, acting as an effector, or prevents the formation
of an MglA-MglB complex through a competitive interaction with MglB. The results suggest a model in
which RomRX functions as a partitioning factor, promoting the localization of MglA at the leading cell pole
immediately after reversals while preventing its localization at the lagging cell poles by interacting with
MglB.
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6
Results
Analysis of MglA nucleotide-binding specificities by fluorescence anisotropy
Previous work analyzed MglA nucleotide exchange in vitro using non-hydrolysable mant-GTP analogues (m-
GMPPNP or m -GppNHp) or radioactive nucleotides (Baranwal et al, 2019; Chakraborty & Gayathri, 2024;
Chakraborty et al, 2024; Zhang et al, 2010) of low sensitivity. The affinity of GTP for MglA could not be
measured because no signal could be detected, and the affinity for GDP was not accurate because of weak and
unstable signals in nucleotide exchange assays. Their binding to MglA was detected in the presence of
MglA’s interacting partners; however, their binding was unstable, as the fluorescence curve showed a
decrease at steady state, hindering accurate measurement of nucleotide exchange dynamics (Baranwal et al,
2019; Chakraborty & Gayathri, 2024; Chakraborty et al , 2024) . We hypothesized that more sensitive
fluorescent GTP/GDP derivatives, structurally compatible with MglA, could be used as alternative tools to
study the dynamics of MglA nucleotide exchange both in the absence and presence of regulator proteins.
Nucleotide analogues conjugated to bright dyes come in various chemistries, with fluorophores covalently
bound to the base, ribose, or phosphate group of the nucleotide (Bagshaw, 2001) . Because the structure of
MglA bound to GTP suggests that modification of the GTP ribose should not interfere with its interaction
with MglA, we selected the 2’/3' -O-(2-Aminoethyl-carbamoyl)-Guanosine-5'-tri/diphosphate GTP/GDP
analogues, labeled with ATTO-488 and referred to as GTP488 or GDP488 in the remainder of the study. In these
molecules, the ATTO-488 dye is attached to GTP/GDP via a long and flexible linker that allows various
orientations relative to MglA and positions the dye away from the nucleotide-binding pocket
(Appendix Fig.
S1).
The low molecular weight of these fluorescent nucleotides (MW < 1.5 kDa) relative to MglA (MW ≈ 22 kDa)
and the long fluorescence lifetime of ATTO-488 (τfl = 4.1 ns) allow their binding to be monitored over time
using fluorescence anisotropy (Colombo et al , 2021) . Anisotropy measurements are not sensitive to
photobleaching, which allows for the recording of signals over long periods of time. Purified MglA is found
to have a GDP in its active site pocket (Baranwal et al , 2019) . Addition of GTP 488 or GDP 488 to MglA
(MglAGDP) leads to an increase of fluorescence anisotropy signals to plateau values corresponding to steady-
state (Fig. 1A). At initial time points, the rate limiting step of the reaction is the dissociation of GDP from
MglA, which is similar in both conditions (k off
GDP). The higher plateau value in the presence of GDP 488
indicates a higher affinity of GDP 488 compared to GTP 488. Because MglA does not exist in a nucleotide-free
state, it is only possible to determine the relative affinity of GTP 488 or GDP488 for MglA. To this aim, we first
incubated MglA GDP with GTP488 or GDP 488 and allowed the reaction to reach equilibrium and subsequently
added an excess of the corresponding unlabeled nucleotide (100 µM) and monitored the decrease in
fluorescence anisotropy (Fig. 1B and C) . The corresponding decay reaction is a measure of the dissociation
rate of the fluorescent nucleotide k off. Fitting the data to exponential binding equations (see methods) allowed
us to measure k off
GTP488 = 2.8×10 -3±5.6×10-4s-1 and k off
GDP488= 6.0×10 -4±8.7×10-5s-1, confirming the higher
affinity of MglA to GDP 488 than GTP 488. These measurements validate our methodology; moreover, the
technique is very sensitive because we could record binding at GTP 488 concentrations as low as 10 nM
(Appendix Fig. S2A)
. In comparison nucleotide exchange with m-GTP could not be recorded at 100 nM
(Baranwal et al, 2019; Chakraborty & Gayathri, 2024; Chakraborty et al, 2024).
RomRX does not function as a Guanine nucleotide Exchange Factor (GEF) in vitro
Next, we investigated the effect of RomR X in this experimental system. Addition of RomX led to higher
values of anisotropy at steady -state in the presence of GTP 488, but not in the presence of GDP 488. This result
indicates an increase in the molecular weight of MglA GTP488 specifically, due to it s binding to RomX. In
contrast, RomR did not interact directly with either form of MglA (Fig. 2A-B). When RomR and RomX were
added together with MglA GTP488, a ternary complex formed as evidenced by an additional increase in the
fluorescence anisotropy sign al (Fig. 2A). The binding mode of the RomRX complex is thus clearly different
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from that expected for a GEF and more similar to the binding of an MglA effector. To test this directly, we
compared RomX binding to that of a known MglA effector, the Ct Tetratr icopeptide Repeat triad of the
SgmX Type -IV pilus activator (SgmX -Ct) (Mercier et al , 2020) . Similarly, SgmX-Ct binds only to
MglAGTP488 but not to MglAGDP488 (Fig. 2C-D). We could determine that MglA GTP488 binds RomX with a K D =
1.7 ± 0.3 µM, which was slightly decreased to K D = 1.0 ± 0.4 µM upon addition of RomR (Fig. 2E-F).
MglAGTP488 binds SgmX-Ct with a slightly lower K D = 0.6 ± 0.3 µM, but in the same order of magnitude (Fig.
2G). Thus, MglAGTP488 binds RomX and SgmX-Ct by similar modes.
Small G-protein effectors tend to stabilize the GTP-bound state of the cognate G-protein, which might explain
why RomRX was proposed to facilitate nucleotide exchange (Szadkowski et al, 2019). If this was correct, this
effect should also be observed with SgmX-Ct. We tested that possibility by conducting chase experiments,
preloading MglA with GDP 488 or GTP 488 and then adding an excess of unlabelled GTP to monitor rates of
nucleotide release. We did not detect any effect of RomX, RomR or RomRX on the rate of GDP 488 to GTP
exchange (Fig. 2H) but we observed that binding to RomX stabilizes the binding of GTP 488 on MglA (Fig.
2I). In the presence of RomX, we measured a k off
GTP488 = 8.4×10-4 ± 3.3×10-4s-1, compared to 2.8×10-3±5.6×10-
4s-1 in its absence (Fig. 2I and Table 1) . This effect is even more pronounced in the presence of RomRX
(koff
GTP488 = 2.4×10 -4 ± 5.5×10 -5 s-1). Most importantly, SgmX-Ct also stabilized MglA GTP488 and to similar
levels (koff
GTP488 = 2.7×10-4 ± 2.4 ×10 -5s-1) (Appendix Fig. S2B and Table 1) . Thus, we conclude that RomX
and the RomRX complex are bona fide MglA effectors like SgmX-Ct and not an MglA GEF as originally
proposed.
MglB is an atypical MglA GTPase-activating protein
We next used the anisotropy assay to explore the interaction between MglA and MglB. Addition of GTP 488 to
a mix of MglA GDP and MglB led to higher anisotropy levels than observed in the absence of MglB,
demonstrating that an MglA GTP488-MglB complex is formed (Fig. 3A) . However, after reaching a maximal
value, the anisotropy signal decreased with slow kinetics. This decrease must corresp ond to the hydrolysis of
the GTP 488 nucleotide bound to MglA into GDP 488 driven by the GAP activity of MglB, because it was not
observed when an MglA mutant (MglA Q82L) that is resistant to hydrolysis was co -incubated with MglB
(Appendix Fig. S2C and D ). The persistently high anisotropy signal also suggests that MglA GDP488 remains
attached to MglB. To prove this, we incubated MglA GDP with MglB and added GDP 488. We observed a sharp
increase in the anisotropy signal indicating that MglB also interacts with MglA GDP488 (Fig. 3A). The signals
observed with MglAGTP488 and MglAGDP488 converged over time, confirming an MglB-induced GTP hydrolysis
(Fig. 3A inset) . Thus, consistent with findings by Baranwal et al., MglB behaves as a non-typical GAP,
activating GTP hydrolysis but not dissociating from MglA GDP. This result was further confirmed with an
MglB version lacking the Ct helix (MglB ΔCt), which bound MglA GTP488 but not MglA GDP488 (Appendix Fig.
S2E and F).
MglB has also been proposed to facilitate GTP exchange upon binding to MglA (Baranwal et al , 2019;
Chakraborty et al, 2024), which might again be due to an effector-type interaction. To verify this result, we
performed chase experiments with unlabeled nucleotides in the presence of MglB or MglB ΔCt (Fig. 3B and
C). Consistent with previous observations, we found that MglA exhibits enhanced affinity for GTP 488 than for
GDP488 in the presence of MglB (k off
GTP488 = 9.0×10 -4 ± 1.0×10 -4 s -1 and k off
GDP488 = 1.2×10 -3 ± 2.6×10 -4 s -1)
(Table 2). We also used isothermal titration calorimetry (ITC) to measure MglA affinities for MglA GTPγS (a
non-hydrolysable form of MglA GTP) and MglAGDP in the presence of MglB. We observed as expected a lower
dissociation constant K D = 310 ± 180 nM for MglA GTPγS than for MglA GDP, where K D = 751 ± 111 nM (Fig.
3D and E). Furthermore, the Ct helix of MglB stabilizes the MglA GTP-MglB complex, favoring GTP binding
(Fig. 3B and Table 2). This stabilization is further evidenced by the lower K D of 150 ± 100 nM for the
interaction between MglBΔCt and MglAGTPγS (Fig. 3F).
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A new enzymatic model of MglA and MglB interaction
The results presented above highlight the function of RomRX as an MglA effector and confirm that MglB
does not dissociate from MglA GDP, which deeply questions the prevailing model. Similarly, MglB cannot be
called a GEF (Baranwal et al, 2019; Chakraborty et al, 2024) because it does not dissociate from MglA GTP to
which it binds with high affinity. Thus, we developed an enzymatic model based on the current knowledge of
the system to elucidate the exact properties of the MglA-MglB complex. In this model, MglA binds with GTP
or GDP, forming a binary complex. Each of these complexes can also bind to MglB, forming MglAGTP-
MglB or MglA GDP-MglB ternary complexes. Each ternary complex can spontaneously exchange nucleotides,
but also hydrolyse GTP leading to the release of inorganic phosphate (Pi) without complex dissociation (Fig.
4A).
The differential equations describing the model are consistent with a rapid equilibrium random fixation
mechanism (Ivanetich & Goold, 1989) (Extra Methods ). The term “rapid equilibrium” indicates that the
substrates and products binding and release occur much faster than the catalytic conversion step. The system
involves two reactants (i.e. the substrate; GTP and the activator; MglB) and two products (i.e. P i and GDP).
However, in our case GDP remains in the nucleotide pocket until the second round of fixation. This model
predicts that varying [GTP] or [MglB] results in linear regressions in double reciprocal Lineweaver-Burk
(LW) plots (1/ν vs. 1/[MglB] or 1/[GTP]) consistent with Henri-Michaelis-Menten kinetics, intersecting at the
same value left of the 1/ν axis. Seconda ry plots of the y intercepts and slopes from the primary lineweaver-
burk plots, plotted as function of 1/[GTP] or 1/[MglB], should also be linear. To test this model
experimentally, we measured GTP hydrolysis by determining Pi release kinetics using an established enzyme-
coupled assay (Webb, 1992) and constructed LW plots and their secondary plots by varying [MglB] or [GTP]
(Fig. 4B and EV1A). The obtained experimental curves aligned remarkably well with the rapid equilibrium
random fixation model for the MglA-MglB complex, allowing determination of the system constants (Fig.
4B, Table 3).
To further understand the function of the MglB Ct helix, we also constructed a model analyzing the behavior
of the system when this helix is absent, making the interaction of MglB with MglA specific to its GTP -bound
form (Appendix Fig. S2E and F ). In this scenario, the system becomes coherent with a rapid equilibrium
ordered fixation mechanism (Posner et al, 1992), where the MglA-MglB ΔCt ternary complex forms only upon
interaction with MglA GTP. This leads to the dissociation of MglA GDP from MglB following hydrolysis (Fig.
4C). The differential equations for this model are shown in Extra Methods and the LW plots in Fig. 4D and
EV1B. The LW plots differ from the random model when 1/v is plotted against 1/[MglB ΔCt] at various fixed
GTP concentrations, intersecting on the vertical axis (Fig. 4D) . This indicates no velocity dependence on
MglBΔCt concentration at saturating GTP, similar to previous observation (Baranwal et al , 2019) and
characteristic of a rapid equilibrium ordered mechanism with GTP binding before MglBΔCt.
The kinetic parameters from the two enzymatic models are remarkably consistent with the affinity values
measured by ITC as one falls within the u ncertainty range of the other. (compare affinities calculated for
MglAGTP and MglB K’
B = 370 ± 70 nM vs 310 ± 180 nM by ITC, and for MglAGDP and MglB, KB = 630 ± 240
nM vs 751 ± 111 nM by ITC). In addition, the model is also consistent with a stabilizing effect of MglB on
MglA-GTP (compare KS [GDP] = 2.45 ± 1.43 µM in the presence of MglB to K’
S [GDP] = 4.1 ± 1.6 µM in its
absence), following the same trend as in the anisotropy exper iments. The measurements also confirm that the
deletion of the MglB Ct helix increases the affinity to MglA -GTP (compare K ’
B = 370 ± 70 nM for MglB ΔCt
versus K’
B = 130 ± 100 nM for MglB, which is very similar to K D = 150 ± 100 nM, measured by ITC). The
measured k cat values were similar for MglB ΔCt (2 ×10 -3 ± 5.7 ×10 -5s–1) compared to MglB (2.67×10-3 ± 1.1
×10-4 s–1), which are both very low compared to canonical GAPs. For example, p120 GAP stimulates the
GTPase reaction of Ras with a k cat ~19 s -1 under saturating conditions (Wittinghofer et al , 1997) . This is
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consistent with measurements by Galicia et al. (Galicia et al , 2019) and suggests that MglB may require
interacting proteins to fully activate or enhance its GAP activity (ie RomY, see discussion).
Taken together, our results demonstrate that MglA -RomRX and MglA -MglB interactions do not correspond
to canonical GEF and GAP intera ctions. The enzymology model above should therefore be taken into
consideration in any new hypothesis attempting to explain their function in cell polarization (See below and
Discussion)
RomR acts on MglB to inhibit the formation of the MglA-MglB complex
In vivo, MglB is required to exclude MglA from the lagging pole, which was previously assumed to be linked
to its GTPase activity. The observation that MglA, whether bound to GTP or GDP, forms a strong complex
with MglB that does not dissociate upon GTP hy drolysis raises the question of the involvement of additional
regulators. We first tested how effectors such as SgmX and RomX compete with formation of the MglA -
MglB complex. We found that even at high concentrations (up to 30 µM), these proteins were not able to
dissociate the complex (Fig. 5A and Appendix Fig. S2G-J).
Thus, effector competition may not be sufficient to dissociate MglA -MglB. Given that RomR localizes at the
lagging pole and directly interacts with MglB (a lthough there are conflicting evidence for this interaction,
which has recently been challenged by the same group (Keilberg et al, 2012; Carreira et al, 2023)), we tested
whether the addition of RomR affects the MglA GTP-MglB complex. Addition of 30 µM RomR led to an
abrupt decrease in fluorescence anisotropy signal (Fig. 5B) indicating that RomR triggers the dissociation of
the complex. Adding 30µM RomR also disrupted the MglA GDP-MglB complex (Fig. 5C). Since RomR does
not interact with MglA, it likely competes with MglA for binding to MglB, thereby dissociating the complex
and reducing the available MglB for MglA interaction.
There is conflicting data regarding a potential direct interaction between RomR and MglB, as some pull-down
experiments detect this interaction while others do not (Keilberg et al , 2012; Carreira et al , 2023) . We
revisited this potential direct interaction using ITC and found a low affinity interaction with a K D of 31 ± 15
µM (Fig. 5D). Microscale thermophoresis also confirmed these interactions, giving a K D value in the same
order of magnitude (~ 59 µM, Appendix Fig. S3A).
Previous studies (Szadkowski et al , 2019) have shown that RomR does not affect the GTPase activity of
MglA when added at equal concentration to MglB. However, due to the low affinity interaction between
RomR and MglB, significant changes in activity should not be expected unless RomR is present at high
concentrations. To test this prediction, we conducted GTPase assays in the presence of varying concentrations
of MglB and a fixed concentration of RomR (20 µM) (Fig. 5E and Appendix Fig. S3B and C ). Michaelis-
Menten and Lineweaver-Burk plots show that RomR significantly reduced the reaction rate, mirroring the
effect observed at lower effective concentrations of MglB (an approximately twofold decrease in enzyme
efficiency 𝒌𝒄𝒂𝒕
𝒂𝒑𝒑/𝑲𝒎
𝒂𝒑𝒑) (Fig. 5E and Table 4). This shows that when the concentration of RomR is close to the
dissociation constant of the MglB-RomR complex, it effectively competes with the formation of the MglA-
MglB complex.
In vitro reconstitution of MglA exclusion by the RomR -MglB complex in a cell -like
configuration
The results above sugg est that RomR modulates the interaction between MglA and MglB and thus controls
the turnover rate of the MglA -MglB complex in vivo . However, because the affinity between MglB and
RomR is low, this effect is only expected if there is sufficient accumulation of RomR to compete with the
formation of the high affinity MglA -MglB complex. Such accumulation is possible in vivo because most of
the RomR pool relocalizes with RomX to the lagging pole ( Fig. 6A and B ). To test this possibility in
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conditions that mimic the cellular context closely, we formed individual spherical droplets of 10 to 20 µm -
diameter that reproduce the concave shape of the bacterial poles, although the radii of curvature are larger and
constant around the droplets (Fig. 7A and Appendix Fig. S4A ).The lipids stabilizing the droplet interface
were selected to be similar in composition to the inner membrane of M. xanthus. We fluorescently labeled
MglA, MglB, and RomR. MglA was either labeled directly ( Appendix Fig. S4B ) or its localization was
tracked using bound fluorescent nucleotides as a label (Fig. 7B-C and Appendix Fig. S4C). As shown by the
anisotropy measurements, fluorescent nucleotides remain stably bound to MglA for at least 20 minutes,
justifying colocalization of fluorescent nucleotides and MglA for the duration of these experiments. MglA (in
its GTP or GDP states) and RomR localized diffusely in these compartments at any concentration (Fig. 7B-D
and Appendix Fig. S4B-C and S5A). In contrast, MglB localized in large domains formed at the lipid/water
interface (Fig. 7E and Appendix Fig. S5B ). Control experiments in the absence of lipids did not reveal any
MglB binding ( Appendix Fig. S6 ). This observation is consistent with previous work showing that MglB
binds weakly to liposomes (Galicia et al , 2019) . The characteristic localization of MglB in the droplet
provided a good opportunity to characterize protein-protein interactions in this cell-like configuration using
two-color imaging.
Mixing red -labeled MglB with green -labeled MglA GTP488 or MglA GDP488 did not modify the localization of
MglB but led to the recruitment of MglA at the lipid/water interface with MglB (Fig. 7F-G). This observation
demonstrates that MglB and MglA interact in the droplet assay and that this interaction does not interfere with
MglB lipid-binding. Mixing red-labeled MglB with RomR -GFP also led to the recruitment of RomR -GFP at
the droplet interface, indicating that this interaction is also detectable in this system (Fig. 7H). Importantly,
mixing red-labeled MglB with unlabeled R omR and MglAGTP488 led to diffuse localisation of MglA (Fig. 7I).
This is due to the formation of the MglB -RomR complex because RomR -GFP was recruited to the lipid
interface together with MglB when all three proteins were mixed and MglA was not labeled (Fig. 7J). Thus,
the RomR-MglB complex effectively competes with the MglA-MglB complex in oil droplets.
Discussion
The polarity axis formed by MglA and MglB has long been considered to be formed via an exclusion
mechanism linked to the activation of GTP hydro lysis at the lagging cell pole. This mechanism was proposed
based on strong evidence: (i) in vitro studies on MglA and MglB homologs purified from T. thermophilus
(MglBtt) showed that MglB tt only binds to MglA GTPtt and (ii), in vivo, an MglA Q82A/L that cannot hydrolyze
GTP, even in the presence of MglB, localizes symmetrically in M. xanthus cells (Treuner-Lange et al, 2015).
Surprisingly, when Baranwal et al. (Baranwal et al, 2019) elucidated the structure of the M. xanthus MglA-
MglB complex, they found that MglB remains associated to MglA GDP after hydrolysis, which is due to the
presence of a Ct-helix, a motif that is not present in MglB tt. This finding raised profound questions about how
cell polarity is established via MglA and MglB and prompted this study. We re-examined how MglA interacts
with MglB and how this affects the MglA hydrolysis cycle. We discovered that the MglA system is not
controlled by a canonical GAP/GEF system as originally proposed, but is centrally regulated by the RomRX
complex, which acts both as an MglA effector and a regulator of the MglA-MglB interaction. We discuss
below how these interactions could lead to the spatial partitioning of MglA in the Myxococcus cell.
Cell polarity is dictated by a complex interaction network involving MglA, RomRX and MglA effectors at the
leading pole, and MglA, MglB, RomRX, RomY and MglC at the lagging cell pole. Carreira et al. (Carreira et
al, 2023) proposed that cell polarity could be established if interactions between RomR and MglB could be
blocked at the leading pole and conversely formed at the lagging pole. Combined with the recent discovery of
MglC as a localization factor of MglB, this study provides molecular roots to the model of Carreira et al. and
suggests the following scenario:
i) At the leading cell pole, RomRX functions as an MglA effector, recruiting MglA GTP. The high
concentration of MglA GTP prevents formation of the MglB -MglC complex and thus excludes MglB from the
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leading cell pole. The interaction of MglA with RomRX is transient and most critical immediately after the
polarity switch, as RomRX relocalizes to the lagging pole within a few minutes. During this time, MglA GTP
associates with polar effectors such as SgmX for the Type -IV pili and the GltJ ZnR -GYF motif for the Agl -
Glt comp lex. In these complexes, MglA adopts a third state insensitive to the action of MglB, further
reinforcing polar localization (Galicia et al, 2019) (Fig. 8).
ii) At the lagging pole, the spatial localization of GAP activity is essential to establish the polarity axis and the
disassembly of the Agl -Glt complex (Attia et al, 2024). At this pole, MglB is recruited by MglC, which is
favored by the low concentration of MglA (Carreira et al, 2023). However, since MglB does not dissociate
from MglAGDP, a dissociation factor is needed to ensure MglA release following nucleotide hydrolysis. Based
on direct in vitro evidence, we propose that the RomRX complex is the dissociation factor, acting between
reversals when its concentration is high at the lagging pole (Fig. 8). This hypothesis is strongly supported by
the co-localization of MglA and MglB at both cell poles observed in a romR mutant (Zhang et al, 2012b).
Thus, functioning as a polar effector, RomRX first ensures that MglA GTP localizes to the leading pole, while
blocking access to the lagging pole by forming a MglB -RomRX complex. Consequently, the common view
that the Mgl system is a prokaryotic version of a clas sical small G -protein system, regulated by spatially
localized GAP (MglB) and GEF (RomRX), is obsolete. So how can this system function without a bone fide
GEF and GAP system? Considering all available data, a view emerges that distinct signaling hubs, one
formed by MglA (which is insensitive to the action of MglB (Galicia et al, 2019)), the other formed by MglB,
segregate at opposite cell poles. The lagging pole system is formed by numerous interactions, between RomR
and MglC, MglC and MglB (Carreira et al, 2023) and now MglB and RomR. This system is thus the site of
numerous regulations: as discussed above it can be destabilized by RomRX and there are likely a number of
additional regulators acting on it. There are currently two examples of such regulation:
(i) RomY which activates the GAP activity and may be critical to accelerate the reaction in vivo because the
kcat of MglB alone is exceedingly low.
(ii) Any regulation that modulates interaction of the MglB Ct -helix with MglA converts MglB into a bona
fide GAP (Chakraborty et al , 2024) . Such regulation occurs in the Agl-Glt complex where the GltJ ZnR
domain recruits and converts it into a GAP via a direct action on this helix (Attia et al, 2024).
Since MglB does not dissociate from MglA, it can n either be called a GAP nor a GEF. Remarkably, the
intervention of a dissociation factor could direct the reaction towards either of these functions, depending on
how fast the dissociation occurs and whether it competes with or allows GTP hydrolysis (which again is a
slow step). Since RomR dissociates both GTP and GDP -bound MglA from MglB it could help direct either
reaction depending on the context. In the cell it is clearly the GAP that dominates (possibly due to the
presence of RomY, (Szadkowski et al, 2022) at the lagging pole between reversals. The notable asymmetry of
the complex formed between MglA and the MglB dimer, along with recent findings that the Ct-helix of the
proximal MglB protomer is sufficient to stabilize MglA in its GDP- and GTP-bound states (Chakraborty et al,
2024), suggests that the second MglB protomer provides an important binding interface for additional
regulators (Szadkowski et al, 2022). In combination with RomR, these regulators could thus functionalize the
complex as a GAP or a GEF.
This emerging picture makes it very difficult to propose a precise reversal mechanism at this stage. We
propose that when they become phosphorylated, FrzX and FrzZ each act on the polar signaling complexes to
release MglAGTP and allow its relocalization at the lagging pole. The molecular targets of these regulators are
yet to be discovered and could involve yet unidentified polar proteins. Nevertheless, this work makes apparent
that modulating the partitioning function of Rom RX might be a key. Indeed, it can be imagined that
promoting the formation of MglA -MglB complexes by alleviating the inhibition of RomRX could trigger a
domino effect leading to the release of MglB from MglC and its relocalization at the opposite pole.
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Recently, structural homologs of MglA and MglB have been found in Asgard Archaea , demonstrating an
ancient origin of these systems (Tran et al., 2024). Remarkably, Thor-Rab, the MglA (and Rab) homolog, also
contains an arginine residue positioned similarly to the MglA Arg53, suggesting that interaction with the
archaeal MglB counterpart, Thor -RB, might lead to a Thor complex functioning with similar enzymatic
properties as MglAB. Thus, in all three domains of life, Roadblock domain -containing proteins (as well as the
structurally related Longins) may form dimeric platforms that often directly interact with small GTPases
(Koonin & Aravind, 2000; Levine et al, 2013; Liu et al, 2021). In eukaryotic cells, these proteins primarily
function as GEFs, but occasionally also as GAPs, through allosteric mechanisms or by incorporating
additional regulatory components (Levine et al., 2013; Jansen & Hurley, 2023; Cabrera et al., 2014;
Miertzschke et al., 2011). One notable example is the Ragulator complex in the mTOR pathway, where
multiple Roadblock domain-containing proteins act as a scaffold for Rag GTPases, again creating a multi-
layered regulatory hub crucial for mTOR signaling. As discussed above, the MglB system might also be
viewed as such and all these systems could be modular signaling units. In conclusion, studying the MglA-
MglB system may reveal universal features of these ubiquitous regulatory modules.
Methods
Methods and protocols
Protein expression, purification and labeling
- Expression and purification of MglA-His6, MglAQ82L-His6, MglB-His6, MglBΔCt-His6, SgmX-Cter
and RomX-His6
The gene sequences of mglA, mglAQ82L, mglB, mglBΔCt, sgmX-Cter and romX from M. xanthus were inserted
in a pET28a plasmid for expression of C-terminal hexa-histidine tagged proteins. Bacterial strains and
primers used in this study are listed in Appendix Tables S1 and S2. Plasmid sequences were verified by
Sanger sequencing (Eurofins GATC‐Bio tech, Germany). All constructs were transformed in the BL21(DE3)
E. coli strain. Cells were grown in Luria-Bertani (LB) medium at 32°C and induced at OD 600nm 0.5-0.8 for 3
hours by the addition 0.5 mM IPTG (isopropyl-h-d-thiogalactopyranoside). Cells were harvested by
centrifugation and pellets were resuspended in buffer A (10 mM Tris-HCl, pH = 7.4, 50 mM NaCl, 5 mM
MgCl2 , 10 mM Imidazole, pH = 7.4) supplemen ted with cOmplete™ EDTA -free protease inhibitor cocktail
(Roche) and 20 µg/ml DnaseI (Merck). Cells were lysed with a French press at 1 kbar and lysates were
centrifuged at 18,000 rpm for 20 minutes at 4 °C. Supernatants were loaded on 2 ml HisTrap beads columns
(GE Healthcare) functionalized with Nickel and equilibrated with Buffer A. After 10 mn of incubation, the
resin was washed with 5-column volume of Buffer A and 5-column volume of Buffer B (Buffer A containing
75 mM Imidazole). The protein was then eluted with Buffer C (Buffer A containing 200 mM Imidazole).
Fractions containing the protein were pooled, concentrated, dialysed overnight in Buffer D (Buffer A without
imidazole) and stored at -80 °C in Buffer D. Protein purity was analyzed by SDS-PAGE, and protein
concentrations were quantified using NanoDrop™ (Thermo Scientific™). The following extinction
coefficients, calculated based on the amino acid sequence of the constructed proteins using ProtParam from
ExPASy, were used: 16,515 M -1·cm-1 for MglA-Hi s6 and MglAQ82L-His 6, 2,980 M -1·cm-1 for MglB-His 6
and MglBΔCt-His6, 11,920 M-1·cm-1 for SgmX-Cter-His6, and 8,480 M-1·cm-1 for RomX-His6.
- Expression and purification of RomR-His6 and RomRGFP-His6
Synthetic coding sequences of RomR and RomRGFP were obtained from Twist Bioscience, cloned in a
modified pET28 vector for expression of C -terminal hexa-histidine tagged proteins . Constructs were
transformed in the LEMO21(DE3) E. coli strain. Cells were grown overnight in LB medium at 37°C and
transferred into NZY auto-induction LB medium (NZYtech) for 24 hours at 18 °C for overexpression. Cells
were harvested by centrifugation and pellets were resuspended in Buffer E (50 mM tris -HCl, pH = 8.0, 300
mM NaCl, 5 mM MgCl 2, 10 mM imidazole, pH = 8.0) supplemented with cOmplete™ EDTA -free protease
inhibitor cocktail (Roche) and 20 µg/ml DnaseI. Cells were lysed with a French press at 1 kbar and lysates
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were centrifuged at 18,000 rpm for 20 minutes at 4°C. Supernatants were loaded on a 2 ml HisTrap beads
column (GE Healthcare) functionalized with Nickel and equilibrated with a Buffer E. After 10 mn of
incubation, the resin was washed with 5 -column volume of Buffer E and 5 -column volume of Buffer F
(Buffer A containing 75 mM Imidazole). The protein w as then eluted with Buffer G (Buffer A containing 200
mM Imidazole). Fractions containing the protein were pooled, concentrated, dialyzed overnight in Buffer H
(Buffer A without imidazole) for ITC and MST experiments or dialyzed in Buffer D for all other e xperiments
and stored at -80°C. Protein purity was analyzed by SDS -PAGE, and protein concentrations were quantified
using NanoDrop™ (Thermo Scientific ™). The following extinction coefficients were used: 6990 mol -1·cm-1
for RomR-His6 and; 26025 mol-1·cm-1 for RomRGFP-His6.
- Labeling of MglA and MglB
Purified MglAGDP and MglB were labeled overnight at 4°C under gentle agitation in the presence of a 5-fold
excess of Alexa Fluor™ 488 C5 -maleimide (ThermoFisher scientific) or Janelia Fluor® 646 Maleimide
(TOCRIS) in Buffer E supplemented with 2 mM TCEP. Unbound fluorophore was removed by passing the
reaction mixture through a pre -equilibrated protein desaltin g column (Zeba Spin Desalting columns from
ThermoFisher scientific). Labeled proteins were analyzed on SDS -PAGE gel and imaged using ChemiDoc
imaging system (Bio-Rad) to quantify the fraction of labeling. Labeled proteins were stored at -80°C.
Fluorescence Anisotropy experiments
- Fluorescent nucleotides analogs
Fluorescent nucleotides used in this study were purchased from Jena Bioscience
(https://www.jenabioscience.com/), specifically EDA-GTP-ATTO-488 (ref. NU-820-488) and EDA-GDP-
ATTO-488 (ref. NU-840-488). When needed, fluorescent nucleotide analogs were diluted in 20 mM HEPES
pH 7.5 (Colombo et al, 2021).
- Fluorescence anisotropy
The binding of fluorescent nucleotides analogs to proteins was monitored by measuring changes in anisotropy
using excitation and emission wavelengths of 504 nm and 521 nm, respectively. These experiments were
performed using a Safas Xenius XC spectrofluorometer (Safas Monaco) controlled by SP2000 software,
version 7.8.13.0 (Colombo et al, 2021).
- Nucleotides exchange assays
For kinetic experiments, MglA GDP, either alone or in combination with MglB, MglB ΔCt, RomR, RomX,
RomRX or SgmX-Ct, was mixed in a volume of 150 µl in Buffer D (supplemented with 2mM TCEP) at the
indicated concentrations. Nucleotide exchange was initiated by adding 0.1 µM of the fluorescent nucleotide
analog, and the increase in fluorescence anisotropy was recorded over time until equilibrium was reached.
The main reaction controlling the rate in this condition is the dissociation of GDP from MglA (k off
GDP).
Subsequently, exchange kinetics were monitored by competing the bound fluorescent nucleotides with an
excess of unlabeled nucleotides (100 µM GTP or GDP), resulting in a decrease in fluorescence anisotropy due
to the release of the fluorescence nucleotide from MglA. Here, the primary reaction rate is controlled by the
dissociation of the fluorescent nucleotide from MglA (koff
N1*).
The reactions involved are described by the following equations:
𝑃 + 𝑁 ⇔ 𝑃𝑁
𝑃 +𝑁∗ ⇔ 𝑃 𝑁 ∗
Where P represents MglA GDP or the MglA GDP-based protein complex, N is the unlabeled nucleotide, N * is the
labeled nucleotide and PN represents the protein-nucleotide complex. These equations implies four rate
constants:kon
N, koff
N, kon
N* and koff
N*.
The binding rate constants (k on) cannot be determined by this assay, as they are too fast for anisotropy
measurements. However, the dissociation rates corresponding to the slowest reactions can be mathematically
described by the following differential equation:
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𝑑[𝑃𝑁 𝑜𝑟 𝑃𝑁∗ ]
𝑑𝑡 = − 𝑘𝑜𝑓𝑓. [𝑃𝑁 𝑜𝑟 𝑃𝑁∗ ]
This equation can be resolved by fitting an exponential decay function to estimate the koff value.
𝑟(𝑡) = 𝑟𝑚𝑖𝑛 + (𝑟0 − 𝑟𝑚𝑖𝑛)𝑒−𝑘𝑜𝑓𝑓
𝑁1∗.𝑡
Here, r(t) represents the fluorescence anisotropy at time (t), r min is the minimum anisotropy value for the
fluorescent nucleotide alone, r 0 is the initial fluorescence anisotropy before adding the excess unlabeled
nucleotide and koff
N* is the dissociation rate constants of the fluorescent nucleotide.
- Steady-state experiment for binding constant determination
For binding affinity experiments, changes in the fluorescence anisotropy values of EDA-GTP-ATTO-488 (0.1
µM) were measured in the presence of MglA GDP (2 µM) and increasing concentrations of RomX, RomRX
(where RomR and RomX were pre-mixed in equal concentrations), or SgmX-Ct. Each measurement was
taken after 30 min when steady state was reached. Data were fitted using Igor Pro (version 9.0.5.1) to the
binding equation to estimate KD:
𝑟 = 𝑟𝑚𝑎𝑥 ∗ [𝑃]
𝐾𝐷 + [𝑃] + 𝑟𝑚𝑖𝑛
Where r represents the fluorescence anisotropy readout, r max represents the maximum anisotropy value when
all the fluorescent nucleotide is bound, [P] is the protein concentration, K D is the binding constant and r min is
the minimum anisotropy value corresponding to the fluorescent nucleotide alone in solution. Results were
plotted using Igor Pro. Each data point represents the mean of at least three independent measurements, with
error bars indicating the standard deviation.
- Protein competition experiment
MglAGDP (2 µM) was incubated with MglB (4 µM). The reaction was initiated by adding GTP 488 or GDP 488
(0.1 µM) and fluorescence anisotropy was monitored until steady state. Subsequently, RomR, RomX,
RomRX or SgmX-ct was added at the indicated concentrations and measurements were continuously taken.
GTPase assay
Rates of GTP hydrolysis were measured using the EnzChek Phosphate Assay Kit (E -6646, Thermo Fisher
Scientific) based on the method originally described by Webb (Webb, 1992). The assay was performed using
a constant concentration of MglA GDP (2 μM) and varying concentration of MglB, MglB ΔCt or RomR-RomX
complex, in the presence of 2 mM TCEP, 0.2 mM MESG, PNP (1 U/ml), and a range of GTP concentration
as indicated. The reaction was started by the addition of MglA, and phosphate release was recorded by the
change in absorbance at 360 nm using 96-well flat-bottom plates (Greiner Bio-One) and a SPARK multimode
microplate reader (Tecan) every 30 seconds for at least 30 min. Experiments were repeated a minimum of
three times. An R script was used to perform multiple nonlinear regressions on the experimental data to
accurately determine the kinetic constants (K B, K’
B, Ks[GDP] and K’
s[GDP]) by fitting the data to the random
or ordered model, and to calculate the coefficient of determination (R²) to assess the goodness of fit.
Isothermal Titration calorimetry
Isothermal titration calorimetry (ITC) was employed to determine the thermodynamic parameters and binding
constants of the binding interactions between a) MglA GTPλS or GDP and MglB; b) MglA GTPλS and MglBΔCt and c)
RomR or the RomR-RomX complex and MglB .
Case a-b: Experiments were conducted using a MicroCal PEAQ-ITC microcalorimeter (Malvern, UK) at
25°C. Each titration consisted of 19 injections, starting with an initial injection of 0.4 μl followed by 18
injections of 2 μl each. Injections were carried out over 4 seconds with 150 -second intervals between
injections. The experiments were carried out in Buffer E Supplemented with 5 mM dithiothréitol (DTT).
Purified MglA GDP “macromolecule” was placed in the sample cell, while the ligand MglB or MglB ΔCt was
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loaded into the syringe. Both the cell and the syringe contained 100 μM of GTPλS or GDP. Control
experiments involved titrating the ITC buffer into MglA GDP alone to account for heat changes due to dilution.
This fitted offset “a constant control heat” was subtracted from the experimental data to accurately calculate
the dissociation constant. Data were analyzed using the MicroCal PEAQ -ITC Analysis software, the binding
isotherm was fit to a one set of sites model.
Case c: Experiments were performed using a MicroCal PEAQ-ITC microcalorimeter (Malvern, UK) at
12.5°C. Each titration consisted of 13 injections, with the first injection of 0.4 μl and the subsequent 12
injections of 3 μl each. Injections lasted for 4 seconds with 150 -second intervals between each injection. The
experiments were conducted in Buffer J supplement ed with 5 mM DTT. RomR or the RomR-RomX complex
(pre-mixed at equal concentrations) was placed in the sample cell, while MglB was loaded into the syringe. A
second series of MglB injections with the same parameters was performed, and the resulting ITC data files
were concatenated for analysis as a single data file. Control experiments involved titrating the ITC buffer into
RomR alone to account for heat changes due to dilution. This fitted offset “a constant control heat” was
subtracted from the experimental data to accurately calculate the dissociation constant. Data analysis was
performed using the MicroCal PEAQ-ITC Analysis software.
Microscale Thermophoresis
Microscale thermophoresis (MST) experiments were conducted using a MonolithX MM-307 instrument
(NanoTemper Technologies). MglB was labeled with the Monolith NT Protein Labeling Kit - Red NHS and
used at a final concentration of 40 nM. The RomR-RomX complex was titrated in 1:1 serial dilution, ranging
from 136 µM to 4 nM. Buffer J supplemented with 5mM DTT and 0.05% tween was used for this experiment.
All experiments were performed in standard Monolith Series capillaries (cat# MO-Ko22) with 100 %
excitation LED power and medium IR-laser power at 24°C. The spectral shift ratio 670nm/650nm was
measured as a function of ligand concentration. Each experiment was performed in duplicate to ensure
reproducibility. The dissociation constant (K D) for the interaction was determined by fitting the
thermophoresis data using the MO Affinity Analysis software, assuming a 1:1 binding stoichiometry. Labeled
MglB 40nM was bound to RomR with increasing concentrations as shown by MST (Appendix Fig.S5A). The
MST Fnorm values at 650nM with an on time measure at 2.5 seconds in a dose response manner and a signal to
noise ratio of 10.3 was used to calculate the binding constant of MglB/RomR . Buffer PBS + 0.05% Tween.
Fluorescence microscopy. For each experiment, 1 ml of a CYE-grown culture with an OD of 0.5 –1 was
centrifuged 5 min at 3000 rpm and resuspended to an OD of 2 in TPM CaCl2 buffer (10 mM Tris-HCl, pH
7.6, 8 mM MgSO4, 1 mM KH2PO4, 1mM CaCl2). Then 2µl of the cell suspension was placed on a glass slide,
covered with a 1.5% agar pad, and incubated for 20 min at 32°C before imaging. Time-lapse experiments
were performed using an automated inverted epifluorescence Ti2E microscope with Perfect Focus (Nikon), a
100x objective, and a back-illuminated Kinetix Scientific CMOS (sCMOS) camera (Teledyne). All
fluorescence images were acquired with minimal exposure time to reduce bleaching and phototoxicity. For
time-lapse movies, images were captured every 2 seconds over a 15-minute period.
Water-in-oil lipid stabilized emulsion
The lipids used for this experiment included L- α-phosphatidylethanolamine ( E. coli PE), L-α -
phosphatidylglycerol (Egg, Chicken) (sodium salt) (EGG PG), L-α -phosphatidylserine (Brain, Porcine)
(sodium salt) (Brain PS), 1',3'-bis[1,2-dioleoyl-sn -glycero-3-phospho]-glycerol (sodium salt) (cardiolipin
18:1) and L-α -lysophosphatidylcholine (Egg, Chicken) (EGG LysoPC), 1,2-dipalmitoyl-sn -glycero-3-
phosphoethanolamine-N-(lissamine rhodamine B sulfonyl) (ammonium salt)(PE*). All lipids were purchased
from Merck.
A lipid solution was prepared in a glass vial by mixing 76 mol% E. coli PE (or 70 mol% E.coli PE + 6 mol%
PE* for fluorescent lipids), 4.9 mol% EGG PG, 9.3 mol% cardiolipin 18:1, 6.5mol% PS and 3 mol% Egg
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Lyso PC in chloroform. This composition was chosen to mimic the inner membrane of M. xanthus. The
mixture was dried overnight in a vacuum desiccator and then rehydrated in Buffer E to a final concentration
of 2mg/ml (≈ 0.83 mM). The resulting suspension was sonicated usi ng a tip sonicator with refrigeration,
followed by centrifugation at 1000 rpm for 10 mn to remove titanium particles. The suspensions were stored
at 4 °C under nitrogen and used within a week.
To prepare water-in-oil emulsions, the lipid suspension was dil uted to a final concentration of 3 µM with the
proteins of interest in Buffer E. The oil phase was prepared by dissolving 1 mg/m l cithrol (CRODA)
surfactant in Squalene oil (Mreck). To form the emulsion, the water phase was added to the oil phase at a
typical volume ratio of 1:20 in a microcentrifuge tube. The mixture was gently mixed by pipetting up and
down, avoiding vigorous agitation to maintain emulsion stability. Brief vortex mixing at low speed was used
for additional mixing. The successful formation of the droplets was indicated by the uniform cloudiness of the
sample. The emulsion was placed in a glass microscope chamber , with droplets positioned between a
microscope coverslip and glass slide spaced with double -sided adhesive tape (Appendix Fig.S4A). Droplets
and fluorescent proteins were imaged using a Zeiss Axio Observer Z1 microscope equipped with a
100x/1.4NA Oil Ph3 Plan-Apochromat objective and a Hamamatsu ORCA-Flash 4.0LT camera. Images were
acquired with Zen 2.3 blue edition.
Acknowledgements
We acknowledge Jessica Colombo for her help in setting the lipid droplet system.
This work was funded by the Centre National de la Recherche Scientifique (CNRS), Aix-Marseille
University, the European Research Council to TM (JAWS-Advanced Grant ERC-2019-ADG: 885145). CD
was funded by a CENTURI postdoctoral fellowship and by an ERC advanced grant to TM.
Author contributions
CD, AM, JH and TM designed research. CD performed the experiments. CD and DB-K performed and
analyzed ITC experiments, SL performed and analyzed the in vivo data. RV and FD did the first purification
of RomR and provided the protocol. CS-K and CD analyzed kinetic experiments and wrote the enzymology
model. JH assisted with the initial setup of experiments and contributed valuable insights for interpreting the
results. CD, AM and TM analyzed the data, interpreted the results, and wrote the manuscript. TM acquired
funding.
Disclosure and competing interest statement
The authors declare that they have non-conflict of interest
Data Availability Section
All data porting this study are included in the main text, EV figures and Appendix.
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17
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Figure legends
Figure 1: Measurement of MglA nucleotide exchange rates by fluorescence anisotropy
A. Binding kinetics of GTP 488 (0.1 µM; dark green) or GDP 488 (0.1 µM; light green) in the presence of
MglAGDP (1 µM).
B. I- Binding kinetics of GTP 488 (0.1 µM; dark green) or GDP 488 (0.1 µM; light green) in the presence of
MglAGDP (1 µM). II- After 600s, competition of GTP 488 or GDP 488 by addition of an excess of unlabeled
GTP (100 µM) (represented by the dotted black line labeled “+ excess GTP”).
C. I- Binding kinetics of GTP 488 (0.1 µM; dark green) or GDP 488 (0.1 µM; light green) in the presence of
MglAGDP (1 µM). II- After 600s, competition of GTP 488 or GDP 488 by addition of an excess of unlabeled
GDP (100 µM) (represented by the dotted black line labeled “+ excess GDP”).
The shaded regions around each curve represent the standard deviations of the fluorescence anisotropy
measurement at each time point, calculated from at least three independent experimental replicates.
Figure 2: RomRX complex acts as an MglA effector.
A. Binding kinetics of GTP 488 (0.1 µM) to MglA GDP (1 µM) in the absence (green) or in the presence of
RomX (1µM; yellow), RomR (1µM; purple) or RomRX (1µM; black).
B. Binding kinetics of GDP 488 (0.1 µM) to MglA GDP (1 µM) in the absence (green) or in the presence of
RomX (1µM; yellow), RomR (1µM; purple) or RomRX (1µM; black).
C. Binding kinetics of GTP 488 (0.1 µM) to MglA GDP (1 µM) in the absence (green) or in the presence of
SgmX-Ct (1µM; blue).
D. Binding kineti cs of GDP 488 (0.1 µM) to MglA GDP (1 µM) in the absence (green) or in the presence of
SgmX-Ct (1µM; blue).
E-G. Fluorescence anisotropy measurements for RomX , RomRX or SgmX -Ct respectively binding to
MglAGTP488. Binding was estimated by measuring the chan ge in fluorescence anisotropy of MglA GTP488 upon
titration with increasing concentrations of RomX, RomRX or SgmX -Ct. Each reading corresponds to the
value of fluorescence anisotropy (30 min after the start of the experiment, at steady state). Each point
represents the mean value from at least three independent measurements, and the error bars indicate standard
deviation.
H. I- Binding kinetics of GDP 488 (0.1 µM) to MglA GDP (1 µM) in the absence (green) or in the presence of
RomX (1µM; yellow), RomR (1µM; purple) or RomRX (1 µM, black). II- After 600s, competition of GDP488
by addition of an excess of unlabeled GTP (100 µM) (represented by the dotted black line labeled “+ excess
GTP”).
I. I- Binding kinetics of GTP 488 (0.1 µM) to MglA GDP (1 µM) in the abse nce (green) or in the presence of
RomX (1µM; yellow), RomR (1µM; purple) or RomRX (1 µM, black). II- After 600s, competition of
GTP488 by addition of an excess of unlabeled GTP (100 µM) (represented by the dotted black line labeled “+
excess GTP”).
The shaded regions around each curve in panels A -D, H and I represent the standard deviations of the
fluorescence anisotropy measurements at each time point, calculated from at least three independent
experimental replicates.
Figure 3: Characterization of MglA interactions with MglB and its mutants
A. Binding kinetics of GTP 488 (0.1 µM; dark red) or GDP 488 (0.1 µM; light red) to MglA GDP (1 µM) in the
presence of MglB (2 µM). The inset corresponds to a zoomed view of the dashed rectangle in the graph.
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B. I- Binding kinetics of GTP 488 (0.1 µM; dark red) or GDP 488 (0.1 µM; light red) to MglA GDP (1 µM) in the
presence of MglB (2 µM) or MglB ΔCt (blue; 2 µM). II- Competition of GTP 488 or GDP 488 by addition of an
excess of unlabeled GTP (100 µM) at 600s (represented by the dotted black line labeled “+ excess GTP”).
C. I- Binding kinetics of GTP 488 (0.1 µM; dark red) or GDP 488 (0.1µM; light red) to MglA GDP (1 µM) in the
presence of MglB (2 µM). II- Competition of GTP 488 or GDP488 by addition of an excess of un labeled GDP
(100 µM) at 600s (represented by the dotted black line labeled “+ excess GDP”).
The shaded regions around each curve in panels A -C represent the standard deviations of the fluorescence
anisotropy measurements at each time point, calculated fro m at least three independent experimental
replicates.
Raw (Top panel) and integrated heat (bottom panel) plots for the titration of:
D. 200 µM MglB into 20 µM MglA and 100 µM GTPγS
E. 492 µM MglB into 20 µM MglA and 100 µM GDP
F. 1.1mM MglB ΔCt into 50 µM MglA and 100 µM GTPγS. The binding isotherms are a representation of
replicate experiments.
Figure 4: Kinetic analysis of MglA’s interaction with MglB or MglBΔCt in the presence of GTP.
A. Schematic representation of the rapid equilibrium ran dom fixation model describing MglA and MglB
kinetic interaction.
B. Top: Plot of 1/v as a function of 1/[MglB] at varying GTP concentrations (2, 5, 10 and 20µM). The data
were modeled using the equation (i). All lines converge to a single point correspond ing to -1/KB. Bottom:
Following equation (ii), the y -intercept (corresponding to the plot of 1/v in the function of 1/[MglB] at a
single GTP concentration) was plotted in the function of 1/[GTP] at four different GTP concentrations 5,
10,20 and 50 µM. The Y-intercept corresponds to 1/Vm and the x-intercept corresponds to -1/Ks[GDP].
C. Schematic representation of the rapid equilibrium ordered fixation model describing MglA and MglB ΔCt
kinetic interaction
D. Top: Plot of 1/v as a function of 1/[MglBΔCt] at varying GTP concentrations (2, 5, 10 and 20µM). The
data were modeled using the equation (i). All lines converge to a single point corresponding to 1/V m. Bottom:
Following equation (ii), the slope (corresponding to the plot of 1/v in the function of 1/[ MglBΔCt] at a single
GTP concentration) was plotted in the function of 1/[GTP] at three different GTP concentrations 2, 5 and 10
µM. The Y-intercept corresponds to -KB
’/Vm and the x-intercept corresponds to -1/Ks
’[GDP].
Figure 5: Impact of the RomR on the MglA-MglB interaction
A. Binding kinetics of GTP488 (dark green;0.1 µM) or GDP488 (light green; 0.1 µM) to MglA GDP (1 µM).
Binding kinetics of GTP488 (0.1 µM) to MglA GDP in the presence of MglB (2µM; dark red) or binding
kinetics of GTP488 (0.1 µM) to MglA GDP (1 µM) in presence of MglB (2µM; dark red) followed by the
addition of RomX (30 µM; orange) or SgmX-Ct (30 µM; dark blue) at 600s.
B. Binding kinetics of GTP488 (da rk green;0.1 µM) or GDP488 (light green; 0.1 µM) to MglA GDP (1 µM).
Binding kinetics of GTP488 (0.1 µM) to MglA GDP in the presence of MglB (2µM; dark red) or binding
kinetics of GTP488 (0.1 µM) to MglA GDP (1 µM) in presence of MglB (2µM; dark red) followed by the
addition of RomR (30 µM; purple) at 600s.
C. Binding kinetics of GTP488 (dark green;0.1 µM) or GDP488 (light green; 0.1 µM) to MglA GDP (1 µM).
Binding kinetics of GDP488 (0.1 µM) to MglA GDP in the presence of MglB (2µM; light red) or binding
kinetics of GDP 488 (0.1 µM) to MglA GDP (1 µM) in presence of MglB (2µM; light red) followed by the
addition of RomR (30 µM; purple) at 600s.
D. Isothermal titration calorimetry (ITC) profile of MglB -RomR interaction. Raw (left panel) and integrated
heat (right panel) plots for the titration of 1.3 mM MglB into 70 µM RomR. The fit yielded a K D of 31 ± 15
µM.
E. Initial rate data for Pi release at different concentration of GTP in presence of MglA GDP (2 µM) + MglB (4
µM) (empty circle), MglA GDP (2 µM) + MglB (2 µ M) (empty triangle) or MglA GDP (2 µM) + MglB (4 µM) +
RomR (20 µM) (purple filled square).
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Figure 6: In vivo localization and dynamics of RomR and RomX.
A. Time-lapse fluorescence microscopy images of pole-to-pole dynamics of RomR-mcherry (red) and RomX-
GFP (green) (20s intervale). The merged image highlights colocalization of both proteins at polar regions.
Arrows point to reversal events.
The scale bar represents 6 μm.
B. Quantitative analysis of fluorescence intensity dynamics over time, comparing the l ocalization of RomR -
mCherry and RomX-GFP from Pole 1 to Pole 2. The difference in intensities of RomR -mCherry and RomX-
GFP between the two poles was normalized to the range defined by the minimum and maximum intensity.
Shaded regions represent the standard deviation across measurements from 3 independent cells. The 0 on the
y-axis indicates symmetrical localization between the two poles. The gray line indicates the time of reversal.
Figure 7: Epi -fluorescence imaging of MglA, MglB, and RomR localization in water-in-oil emulsion
droplets stabilized by lipids
A. Schematic representation of the formation of the lipid droplets; surfactants are in orange, lipids are in black
and proteins are in green.
B. Epi-fluorescence image of lipid droplets containing MglA (1 µM) labeled with GTP488 (0.2 µM)
C. Epi-fluorescence image of lipid droplets containing MglA (1 µM) labeled with GDP488 (0.2 µM)
D. Epi-fluorescence image of lipid droplets containing RomR-GFP (10 µM).
E. Epi-fluorescence image of lipid droplets containing red-labeled MglB (2 µM).
F. Epi-fluorescence images of lipid droplets containing MglA (1 µM) labeled with GTP 488 (0.2 µM) in
presence of red-labeled MglB (2 µM).
G. Epi-fluorescence images of lipid droplets containing MglA (1 µM) labeled with GDP 488 (0.2 µM) in
presence of red-labeled MglB (2 µM).
H. Epi-fluorescence images of lipid droplets containing red-labeled MglB (10 µM) in presence of RomR-GFP
(25 µM).
I.Epi-fluorescence images of lipid droplets containing red -labeled MglB (10 µM) in presenc e of RomR-GFP
(25 µM) and unlabeled MglA (5 µM)
J. Epi-fluorescence images of lipid droplets containing red -labeled MglB (10 µM) in presence of unlabeled
RomR (25 µM) and MglA (5 µM) labeled with GTP488 (0.2 µM).
Rhodamine was used to label the lipids.
Figure 8: Role of the RomRX complex in establishing cell polarity in M. xanthus. Upper Panel: At the
leading pole, the RomRX complex regulates polarity by interacting with MglA GTP through RomX. This
interaction supports the recruitment of MglA GTP to the pole where it can associate with polar motility specific
effectors present in the A - and S- motility complex (such as SgmX for the Type -IV pili and the GltJ ZnR -
GYF motif for the Agl -Glt complex). At the lagging pole, the low concentration of MglA facilitate s the
recruitment of MglB by MglC. Middle panel: RomRX detaches from the leading and it relocalizes to the
lagging pole possibly via several interactions (ie MglC, MglB and unknown). As it accumulates at high
concentrations, RomRX competes with the formati on of the MglA -MglB complex interacting with MglB.
Lower Panel: However, as observed in vitro, this competition does not entirely block the formation of the
MglA-MglB complex due to its low affinity. Given that formation of the MglA -MglB complex and GTP
hydrolysis occur rapidly, and that the dissociation of the MglA -MglB complex is the rate -limiting step,
RomRX mostly acts as a dissociation factor following hydrolysis.Additionally, RomY plays a crucial role in
orienting MglB function toward a GAP in vivo, e nhancing its GAP activity and thus accelerating the reaction.
This regulation is essential to drive GTP hydrolysis efficiently, as the kcat of MglB alone is low.
Tables and their legends
koff
GTP488 (s-1)
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23
MglAGDP 2.8×10-3±5.6×10-4
MglAGDP+ SgmX-Ct 2.7×10-4± 2.4×10-5
MglAGDP+ RomX 8.4×10-4±3.3×10-4
MglAGDP+ RomR n.r.
MglAGDP+ RomRX 2.4×10-4 ± 5.5×10-5
Table 1: Dissociation rates constant (K off) corresponding to the graph in Fig .2I. The errors represent the
standard deviations calculated from at least three independent measurements.
koff
GTP488 (s-1) koff
GDP488 (s-1)
MglAGDP 2.8×10-3 ± 5.6×10-4 6.0×10-4 ± 8.7×10-5
MglAGDP + MglB 9.0×10-4 ± 1.0×10-4 1.2×10-3 ± 2.6×10-4
MglAGDP + MglBΔCt 5.8×10-4 ± 9.4×10-5 n.r.
Table 2: The dissociation rates constant (k off) corresponding to the graph in Fig. 3B and C. The errors
represent the standard deviations calculated from at least three independent measurements.
MglA + MglB MglA + MglBΔCt
KB 0.63 ± 0.24 µM n.r.
K’
S [GDP] 4.1 ± 1.6 µM 2.58 ± 0.36 µM
K’
B 0.37 ± 0.07 µM 0.13 ± 0.06 µM
KS [GDP] 2.45 ± 1.43 µM n.r.
kcat 2.67×10-3 ± 1.1 ×10-4 s–1 2 ×10-3 ± 5.7 ×10-5s–1
Table 3: Rapid equilibrium random/ordered mechanism. Kinetic parameters obtained from solving the
graphs in Fig. 4B and D and Fig. EV1A and B
𝒌𝒄𝒂𝒕
𝒂𝒑𝒑(min-1) 𝑲𝒎
𝒂𝒑𝒑 (µM) 𝒌𝒄𝒂𝒕
𝒂𝒑𝒑/𝑲𝒎
𝒂𝒑𝒑(M-1s-1)
MglA (2µM) + MglB (4µM) 0.16 ± 0.011 1.02 ± 0.014 2.60 ×103
MglA (2µM) + MglB (2µM) 0.12 ± 0.001 0.98 ± 0.22 2.04 ×103
MglA (2µM) + MglB (4µM) +
RomR (20µM)
0.11 ± 0.002 1.00 ± 0.023 1.83 ×103
Table 4: Kinetic parameters table. Initial rate data were fitted to the Michaelis -Menten equation. The assays
were performed using constant concentration of proteins and a range of GTP concentration (0.5 to 100 µM).
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Expanded view figure legends
Figure EV1: Kinetic analysis of MglA toward GTP and MglB or MglBΔCt.
A. Top: Plot of 1/v as a function of 1/[GTP] at varying MglB concentrations (0.25, 0.5, 2 and 4µM). The data
were modeled using the equation (i). All lines converge to a single point corresponding to -1/Ks
’ [GDP],
highlighting the substrate -dependent modulation of enzymatic activity. Bottom: Following equation (ii), the
y-intercept (corresponding to the plot of 1/v in the function of 1/[GTP] at a single MglB concentration) was
plotted in the function of 1/[M glB] at three different MglB concentrations 0.25, 0.5 and 4 µM. Y -intercept
corresponds to 1/Vm and the x-intercept corresponds to -1/KB
’.
B.Top: Plot of 1/v as a function of 1/[GTP] at varying MglBΔCt concentrations (0.5, 10, 15 and 20µM). The
data were modeled using the equation (i). All lines converge to a single point corresponding to -1/Ks
’ [GDP].
Bottom: Following equation (ii), the y -intercept (corresponding to the plot of 1/v in the function of 1/[GTP]
at a single MglBΔCtconcentration) was plotted i n the function of 1/[ MglBΔCt] at four different MglBΔCt
concentrations 0.5, 2.5, 5 and 10 µM. Y -intercept corresponds to 1/Vm and the x -intercept corresponds to -
1/KB
’.
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25
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Figure 1
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Figure 2
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Figure 3
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A CMglAGDP + GTP
𝐾𝑠′ [GDP]
MglB
𝐾𝐵
′
kcat
+
MglAGTPMglB
MglAGDPMglB + Pi
MglAGTP
MglB
+
𝐾𝐵
MglAGDPMglB + GTP
𝐾𝑠 [GDP]
MglAGDP + GTP
MglBΔCt
𝐾𝐵
′
kcat
+
MglAGTPMglBΔCt
MglAGDP + MglBΔCt + Pi
MglAGTP
𝐾𝑠′ [GDP]
i- 1/v=
1
𝑀𝑔𝑙𝐵
𝐾𝐵𝐾𝑆 𝐺𝐷𝑃
𝑉𝑚 𝐺𝑇𝑃 +
𝐾𝐵
′
𝑉𝑚 +
1
𝑉𝑚 1 +
𝐾𝑆 [𝐺𝐷𝑃]
𝐺𝑇𝑃 i- 1/v=
1
𝑀𝑔𝑙𝐵𝛥𝐶𝑡
𝐾𝐵
′ 𝐾𝑆
′ 𝐺𝐷𝑃
𝑉𝑚 𝐺𝑇𝑃 +
𝐾𝐵
′
𝑉𝑚 +
1
𝑉𝑚
-6
-4
-2
0
2
4
6
8
-0,4 -0,3 -0,2 -0,1 0 0,1 0,2 0,3 0,4
1/[MglBΔCt]
[GTP] = 2µM [GTP] = 5µM
[GTP] = 10µM
[GTP] = 20µM1/Vm
1/v
[GTP] = Cts ; varying [MglB]
ii. Y intercept =
𝟏
𝑽𝒎 𝟏 +
𝑲𝑺 [𝑮𝑫𝑷]
𝑮𝑻𝑷
0
1
2
3
4
5
6
7
8
-1,5 -1 -0,5 0 0,5 1
1
Vm
Y intercept
1/[GTP]
ii- Slope =
𝑲𝑩
′ 𝑲𝑺
′ 𝑮𝑫𝑷
𝑽𝒎 𝑮𝑻𝑷 +
𝑲𝑩
′
𝑽𝒎
[GTP] = Cts ; varying [MglBΔCt]
Slope
1/[GTP]
-1
-0,5
0
0,5
1
1,5
2
-2,5 -2 -1,5 -1 -0,5 0 0,5 1
−KB
′
Vm
−1
KS
′ [GDP]
B D
−1
KS [GDP]
-10
-5
0
5
10
15
20
-5 -3 -1 1 3 5
− 1
𝐾𝐵
[GTP] = 2µM
[GTP] = 5µM
[GTP] = 10µM
[GTP] = 20µM
1/v
1/[MglB]
Figure 4
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Figure 5
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Figure 6
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Figure 7
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Lagging pole Leading pole
Motility direction
MglAGDP
Lagging pole Leading pole
Motility direction
MglB
Effectors
MglAGTP
RomRX
MglA-MglB
dissociation
MglB
MglAGTP
MglAGDP
Hydrolysis
Pi
RomRX
MglC
MglC
RomY
RomY
Figure 8
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EV1
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