SUMMARY We describe a mechanism of flagellar motor control by the bacterial signaling molecule c-di-GMP, which regulates several cellular behaviors. E. coli and Salmonella have multiple c-di-GMP cyclases and phosphodiesterases, yet absence of a specific phosphodiesterase YhjH impairs motility in both bacteria. yhjH mutants have elevated c-di-GMP levels and require YcgR, a c-di-GMP-binding protein, for motility inhibition. We demonstrate that YcgR interacts with the flagellar switch-complex proteins FliG and FliM, most strongly in the presence of c-di-GMP. This interaction reduces the efficiency of torque generation and induces CCW motor bias. We present a “backstop brake” model showing how both effects can result from disrupting the organization of the FliG C-terminal domain, which interacts with the stator protein MotA to generate torque. Inhibition of motility and chemotaxis may represent a strategy to prepare for sedentary existence by disfavoring migration away from a substrate on which a biofilm is to be formed.
MotA and MotB are membrane proteins that form the stator of the bacterial flagellar motor. Each motor contains several MotA 4 MotB 2 complexes, which function independently to conduct protons across the membrane and couple proton flow to rotation. The mechanism of rotation is not understood in detail but is thought to involve conformational changes in the stator complexes driven by proton association/dissociation at a critical Asp residue of MotB (Asp 32 in the protein of Escherichia coli). MotA has four membrane segments and MotB has one. Previous studies using targeted disulfide crosslinking showed that the membrane segments of the two MotB subunits are together at the center of the complex, surrounded by the TM3 and TM4 segments of the four MotA subunits. Here, the cross-linking studies are extended to TM1 and TM2 of MotA, using Cys residues introduced in several positions in the segments. The observed patterns of disulfide cross-linking indicate that the TM2 segment is positioned between segments TM3 and TM4 of the same subunit, where it could contribute to the proton-channel-forming part of the structure. TM1 is at the interface between TM4 of its own subunit and the TM3 segment of another subunit, where it could stabilize the complex. A structural model based on the cross-linking results shows unobstructed pathways reaching from the periplasm to the Asp 32 residues near the inner ends of the MotB segments. The model indicates a close proximity for certain conserved, functionally important residues. The results are used to develop an explicit model for the proton-induced conformational change in the stator.The bacterial flagellar motor is an ion-fueled machine capable of turning at hundreds of revolutions per second (1-3). In most species, the motor can turn either CW or CCW, and reversals in direction are the basis of regulated movement such as chemotaxis (4,5). Although more than two-dozen proteins are needed for assembly and operation of the flagellum, only five are thought to function closely in rotation. FliG, FliM, and FliN form the "switch complex" on the rotor that determines the direction of rotation (6,7). MotA and MotB are membrane proteins that form the stator, functioning to conduct protons across the membrane and couple proton flow to rotation (8-12) (Figure 1, left). While structural studies of the rotor proteins are fairly advanced (13-16), less is known about the structure of the stator. The stator complexes have subunit composition MotA 4 MotB 2 (17,18). MotA has four TM segments, relatively large domains in the cytoplasm, and only short segments in the periplasm (9,19). MotB has a short segment in the cytoplasm, a single TM segment, and a large periplasmic domain that includes features believed to bind peptidoglycan (10,20,21 In a current model for the rotation mechanism, torque is produced as the stator undergoes conformational changes driven by proton association/dissociation at Asp 32 (23). In support of this model, mutations that neutralized the charge of Asp 32 (e.g., replace...
The H-NS protein of bacteria is a global regulator that stimulates transcription of flagellar genes and that also acts directly to modulate flagellar motor function. H-NS is known to bind FliG, a protein of the rotor that interacts with the stator and is directly involved in rotation of the motor. Here, we find that H-NS, well known for its ability to organize DNA, acts in the flagellar motor to organize protein subunits in the rotor. It binds to a middle domain of FliG that bridges the core parts of the rotor and parts nearer the edge that interact with the stator. In the absence of H-NS the organization of FliG subunits is disrupted, whereas overexpression of H-NS enhances FliG organization as monitored by targeted disulfide cross-linking, alters the disposition of a helix joining the middle and C-terminal domains of FliG, and enhances motor performance under conditions requiring a strengthened rotor-stator interface. The H-NS homolog StpA was also shown to bind FliG and to act similarly, though less effectively, in organizing FliG. The motility-enhancing effects of H-NS contrast with those of the recently characterized motility inhibitor YcgR. The present findings provide an integrated, structurally grounded framework for understanding the roughly opposing effects of these motility regulators.
The patterns formed both in vivo and in vitro by the Min protein system have attracted much interest because of the complexity of their dynamic interactions given the apparent simplicity of the component parts. Despite both the experimental and theoretical attention paid to this system, the details of the biochemical interactions of MinD and MinE, the proteins responsible for the patterning, are still unclear. For example, no model consistent with the known biochemistry has yet accounted for the observed dual role of MinE in the membrane stability of MinD. Until now, a statistical comparison of models to the time course of Min protein concentrations on the membrane has not been carried out. Such an approach is a powerful way to test existing and novel models that are difficult to test using a purely experimental approach. Here, we extract time series from previously published fluorescence microscopy time lapse images of in vitro experiments and fit two previously described and one novel mathematical model to the data. We find that the novel model, which we call the Asymmetric Activation with Bridged Stability Model, fits the time-course data best. It is also consistent with known biochemistry and explains the dual MinE role via MinE-dependent membrane stability that transitions under the influence of rising MinE to membrane instability with positive feedback. Our results reveal a more complex network of interactions between MinD and MinE underlying Min-system dynamics than previously considered.
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