Introduction

Penicillin-binding proteins (PBPs) are peptidoglycan (PG) synthases that are among the earliest identified and most successful targets for antibiotic development1,2,3. Penicillin and the related beta-lactam drugs inhibit the enzymatic activity of PBPs4,5. However, instances of antibiotic resistance have now been reported for every beta-lactam antibiotic in clinical use, highlighting the need for development of new strategies to target PBP activity4,5,6,7,8,9,10. A better understanding of the regulatory pathways that control cell wall synthesis by these enzymes will enable such discovery efforts.

PBPs synthesize peptidoglycan (PG) from the precursor lipid II in two enzymatic steps. The disaccharide monomer unit of lipid II is first polymerized by glycosyltransferases (GT) into glycan strands; these nascent strands are then crosslinked by transpeptidases to the existing PG mesh to expand the wall11,12,13,14. In virtually all bacteria, polymerization and crosslinking reactions are facilitated by two distinct classes of PBP synthases. Class A PBPs (aPBPs) are bifunctional enzymes that possess both GT and TP activities15, whereas class B PBPs (bPBPs) are monofunctional transpeptidases that require a glycosyltransferase partner from the SEDS (shape, elongation, division, sporulation) family to carry out synthesis16,17,18,19,20. E. coli encodes two major aPBPs, PBP1a and PBP1b, and two essential SEDS-bPBP complexes, RodA-PBP2 and FtsW-FtsI (PBP3)15,16,21,22,23. Despite being enzymatically equivalent, these synthetic machines are functionally and structurally distinct and mediate different physiological processes in cells. RodA-PBP2 and FtsW-FtsI synthases associate with multi-protein assemblies to accomplish directed PG synthesis during bacterial elongation and division, respectively21,24,25. PBP1a and PBP1b, on the other hand, are thought to fortify and repair the ordered PG framework produced by the SEDS-bPBP complexes21,26,27. Accordingly, deletion or inactivation of both PBP1a and PBP1b leads to cell wall damage-induced bulging and lysis27,28,29,30.

E. coli PBP1a and PBP1b are regulated by the outer-membrane tethered lipoproteins (Lpo) LpoA and LpoB, respectively30,31. In vitro these accessory factors bind dedicated domains on their cognate synthases and accelerate their GTase and TPase activities32,33,34,35,36,37. In a cellular context, Lpo proteins must penetrate through gaps in PG to reach aPBPs in the periplasm, suggesting a mechanism for cell wall damage sensing, whereby lipoproteins preferentially recruit aPBPs to sites of low peptidoglycan density to reinforce the PG matrix27,34. However, it has remained unclear how lipoprotein binding is coupled to enzymatic activation, as well as the process by which Lpo-aPBP complexes are disassembled at the end of synthesis, given that the process of repair is expected to seal off PG passageways that lipoproteins rely on for their redistribution.

We previously demonstrated that enzymatic activation of both GT and TP reactions in EcRodA-PBP2 is controlled through structural rearrangements at the GT-TP interface of the enzymatic complex38. Mutations in PBP2 that accelerate structural dynamics lead to cell lengthening and allow the synthase to bypass the requirement for cellular activators38,39. Notably, suppressor mutations that bypass the deletion of lpoA or lpoB also map to the interface between the GT and TP domains of their cognate aPBPs32,33, suggesting that aPBPs may rely on similar allosteric changes to control their cellular activity. Structural studies of EcPBP1b show that it can adopt distinct conformational states, lending further support to this hypothesis40,41,42.

Here we leveraged single-molecule FRET (smFRET) to investigate if aPBPs undergo conformational rearrangements as part of their catalytic cycle and how these putative rearrangements are controlled by lipoprotein activators. Using the E. coli PBP1b-LpoB complex as a model system, we show that LpoB binding stimulates structural changes at the GT-TP interface of PBP1b that trigger enzymatic activation. Following glycan synthesis initiation, the stability of the PBP1b-LpoB complex decreases dramatically, suggesting a mechanism for LpoB redistribution before PG synthesis closes off its escape route. Collectively, our results support a model in which allosteric regulation of PBP1b by LpoB ensures precise targeting of PBP1b synthesis activity to sites in need of fortification or repair, while also optimizing the number of sites that can be fortified through rapid redistribution of LpoB.

Results

E. coli PBP1b adopts distinct active and inactive conformations

To test whether structural dynamics contribute to PBP1b function, we developed a single-molecule FRET assay to monitor rearrangements between the GT and the UB2H-TP modules of the protein. Comparison of apo-PBP1b and moenomycin-bound PBP1b structures shows that binding of this lipid II mimetic at the GT site is accompanied by a rigid-body tilting and rotation of UB2H and TP domains together towards the GT domain, suggesting that reorientation of GT and UB2H domains can be used as proxy for GT-TP motion40,41,42 (SI Fig. 1a). Guided by this structural prediction, we introduced cysteines into GT and UB2H domains (PBP1bE187C-R300C) in the background of a functional truncation of PBP1b40,41 encompassing residues 58-804 (Fig. 1a, also Methods). With this labeling scheme, the fluorophores are predicted to be positioned 50–55 Å apart in the apo-state and 40–45 Å apart in the moenomycin-bound state (SI Fig. 1b). We confirmed that the resulting construct (WT) was monodispersed on size-exclusion chromatography, labeled specifically with Cy3 and Cy5 fluorophores, retained substantial GT activity and was fully activated by LpoB (SI Fig. 2a–c). Single-molecule imaging of WT PBP1b revealed that the protein adopted a single major conformation centered at FRET efficiency ~ 0.5 (FE, state 1), consistent with label distances predicted from the apo structure, in addition to minor states at higher and lower FRET values (Fig. 1c, SI Table. 1). Individual trajectories exhibited few – if any – transitions into and out of this state, and global analysis of transition frequency, depicted visually as a heatmap, showed that apo WT PBP1b was largely static (Fig. 1d, e). To rule out the possibility that PBP1 undergoes rapid dynamics undetected by our measurements, we imaged PBP1b at a 5-times faster frame rate (20 s1) and confirmed that on its own the protein did not exchange readily between different FRET states (SI Fig. 2d, e).

Fig. 1: LpoB stabilizes the activated state of PBP1b.
figure 1

a AlphaFold model of full-length EcPBP1b showing the positions of cysteine substitutions (black spheres) and suppressor variants (red sticks). b Schematic illustrating the smFRET assay, with one of the two possible orientations of donor (green) and acceptor (red) labels shown for simplicity. In the apo state, PBP1b adopts a lower-FRET efficiency state (inactive state). Activating perturbations (suppressor variants, lipid II or LpoB addition) shift the conformation of PBP1b to higher-FRET states. c Probability density (PDF) histograms and fits of FRET efficiency (FE) values derived from single-molecule trajectories of EcPBP1bE187C-R300C WT and suppressor variants (Q411R, I202F), with or without LpoB and lipid II. Normal fits to the data are shown in a blue-to-red color gradient, with states numbered 1-4. Mean values and occupancies of smFRET states are summarized in SI Table 1. d Transition density heat maps, normalized to the total observation time, show the frequency of transitions for datasets in (c). White-to-red color gradient depicts the frequency of transitions from a starting FRET value (x-axis) to the final FRET value (y-axis), with white color corresponding to absence of transitions and red corresponding to high frequency of transitions. e Representative single-molecule trajectories from datasets in (c). Markers are plotted at the mean values of state fits and colored as in (c). f Dwell time histograms and fits for the states observed in datasets from (c). Mean dwell times alongside 95% confidence intervals are indicated on the plots. Conditions in which the protein remained largely static were omitted from analysis.

Next, we tested the effect of substrate addition on PBP1b dynamics by adding 1 μM lipid II into the flow cell. Lipid II binding resulted in a global structural shift to higher-FRET values, with a major state at FE ~ 0.6 (state 2) and a minor state at FE ~ 0.75 (state 3) (Fig. 1c), consistent with a shortening of the inter-label distance (Fig. 1b, SI Fig. 1b). Both states exhibited few transitions, suggesting that lipid II binding stably captured this set of PBP1b conformations (Fig. 1d, e). We note that the sparsely populated higher-FRET tail in the apo-PBP1b condition may be the same as states 2 and 3, corresponding to an intrinsically accessible conformation of the enzyme that is selected by lipid II. Notably, binding of the lipid II mimetic moenomycin40,41 was also accompanied by a partial enrichment of states 2 and 3 (SI Fig. 2d, e). Thus, we conclude that a shift to higher-FRET values proceeds through the tilting of the UB2H and TP domains towards the GT domain and that this conformational change is a signature of enzymatic activation.

LpoB binding to PBP1b promotes a structural transition to the activated state

LpoB is known to accelerate the GT activity of PBP1b in vitro32,34,35,36,37. We therefore aimed to assess whether addition of LpoB biases the conformation of PBP1b to an activated state. We found that LpoB binding partially enriched states 2 and 3, as well as a previously unobserved lower-FRET state (FE ~ 0.4, state 4) (Fig. 1c). All three states exchanged rapidly on the timescales of our measurements, persisting for only a few seconds (Fig. 1d–f). Simultaneous addition of LpoB and lipid II resulted in a distribution that was qualitatively similar to the lipid II-bound state, suggesting that state 4 is an on-pathway LpoB-bound conformation that interconverts to the activated conformation (states 2 and 3) upon lipid II binding (Fig. 1c–e). Finally, single-molecule analysis of LpoB bypass variants32 (PBP1bI202F, PBP1bQ411R) showed that both substitutions dramatically shift the FRET distribution to the activated state and induce rapid dynamics within the protein (Fig. 1d−f), mimicking the activating effect of LpoB. Together, these results demonstrate that LpoB binding to PBP1b stabilizes the substrate-bound state of the enzyme through structural rearrangements at the GT-TP interface.

Engineered variants of LpoB exhibit a range of affinities and activities

LpoB is an essential cellular activator of PBP1b and has been proposed to recruit PBP1b to PG sites in need of reinforcement or repair27,30,31,34. Yet, LpoB binds PBP1b very weakly and is not strictly required for its GT activity in vitro32,34,35,36,37. We therefore sought to establish the extent to which recruitment and activation by LpoB contribute to the cellular function of PBP1b. For this purpose, we engineered LpoB variants with a range of recruitment and activation efficiencies, approximated by the ability of these variants to bind and induce conformational changes within PBP1b in vitro. Briefly, we designed a site saturation variant library of LpoB, targeting residues at the PBP1b interaction interfaces, displayed this library on yeast and selected high-affinity clones through two rounds of fluorescence-activated cell sorting (FACS)43,44 (Fig. 2a, SI Fig. 3, also Methods). We isolated 13 clones with substitutions at four positions (S157, A164, Y178 and S180) that mapped to an interface loop (termed loop 2) and a β hairpin (termed β3) of LpoB and proceeded with biochemical evaluation of the highest-affinity substitutions (Fig. 2a, b, SI Fig. 3, also Methods). We also generated a non-binding LpoB control (E201R) by mutating the predicted hydrogen bond network at a PBP1b-LpoB interface (Fig. 2a, b, termed loop 4).

Fig. 2: Affinity-matured LpoB variants stabilize active and inactive states of PBP1b.
figure 2

a LpoB sequence, showing the truncation that was displayed on yeast for selections (LpoB64-213) as well as the variable regions of LpoB (LpoB110-117, LpoB152-191), in which all possible amino acid substitutions were incorporated at each position. Key interfaces are colored in orange (loop 1), green (loop 2), magenta (β3), and red (loop 4). b AlphaFold model of the PBP1b-LpoB complex, showing the positions of the identified mutations as spheres. Interaction regions are colored as in (a). c Bar graph summarizes BLI-determined affinities of LpoB variants color-coded by their positions in either loop2 or β3, as in (a). Data are shown as mean +/- standard deviation, with biological replicates (n = 3) overlayed as dots. Full statistics can be found in SI Table 2. d PDF histograms of FRET efficiency values derived from single-molecule trajectories of EcPBP1bE187C-R300C in the presence of 1 μM LpoB WT or engineered LpoB variants. WT LpoB data are reproduced from Fig. 1 for convenience.

All engineered LpoB variants expressed well and displayed a monodispersed peak on size-exclusion chromatography (SI Fig. 4a, b). We quantified binding affinities of individual variants and their combinations using a bulk bio-layer interferometry (BLI) assay (Methods). Variants with A164S and S180I/V substitutions modestly increased PBP1b affinity (KD change from ~900 nM to 200–300 nM), while the S157V and Y178W substitutions were more potent, improving affinity 15–80-fold (KD = 10-60 nM), primarily by reducing the dissociation rate (Fig. 2c, SI Fig. 4c, SI Table. 2). Combining the A164S, S180I, and S157 substitutions had an additive effect, yielding a higher affinity variant (KD = 9 nM). In contrast, combining the S157V and Y178W changes was not additive (KD = 24 nM), suggesting that the Y178W substitution does not stabilize the same PBP1b state(s) as the other three. We next assessed how affinity-enhancing mutations affect the structural dynamics of PBP1b, and by extension, allosteric activation (Fig. 2d). We found that the four mutants varied in their ability to stabilize the activated state of PBP1b (FRET states 2 and 3) (Fig. 2d, SI Table. 1). Specifically, the A164S/S180I double mutant partially stabilized the activated state; the S157V substitution was as effective as LpoB WT at activation, while the Y178W variant showed a near complete loss of the activated conformation. Combining the Y178W and S157V mutations partially restored the ability of the double mutant to stabilize the activated state of PBP1b. In summary, our selection campaign identified a set of functionally diverse LpoB variants. Notably, two mutants with significantly enhanced affinity for PBP1b had opposite effects on allosteric activation: Y178W showed an activation defect, whereas S157V fully retained activation.

Decrease in LpoB-mediated activation reduces cell survival

We next aimed to correlate the biochemical properties of engineered LpoB variants with their activity in vivo, using a previously developed complementation assay30 (Methods). This assay takes advantage of the fact that E. coli cells remain viable if either PBP1a or PBP1b is inactive, but that inactivating both enzymes is lethal28,29. Thus, a lpoB deletion strain fails to grow when PBP1a (ponA) is depleted, but growth can be restored with expression of a functional copy of lpoB. In brief, we integrated45 genes encoding LpoB variants into the chromosome under the control of an inducible lactose promoter (Plac) in a PBP1a depletion strain deleted for lpoB (∆lpoB∆ponA Para::ponA) and tested the ability of LpoB variants to complement growth in media and on plates (Methods). We found that growth phenotypes appeared to parallel the ability of LpoB variants to activate, rather than to bind PBP1b. Affinity matured LpoB variants that maintained activation modestly improved growth, whereas the Y178W variant, expected to be highly efficient at PBP1b binding but defective in activation, showed a severe growth defect (Fig. 3). This defect was reversed in the Y178W-S157V strain, where activation by LpoB is largely restored. Importantly, these phenotypes were not due to differences in protein expression, as all variants retained WT levels of expression (SI Fig. 4d). Together, these results are consistent with the idea that LpoB activation defects are detrimental to cell survival, whereas increased recruitment efficiency confers minimal advantages, suggesting that the low affinity of LpoB for PBP1b might be a beneficial feature of its regulation.

Fig. 3: Cellular growth and survival scale with activation efficiency of LpoB variants.
figure 3

a Growth curves under non-permissive growth conditions (½ LB 0 NaCl 42 oC) of ∆ponA Para::ponA ∆lpoB negative control (black), ∆ponA Para::ponA ∆lpoB Plac::lpoB WT (grey) or engineered LpoB variants (red). Averages of three technical replicates are shown as lines, with standard deviation depicted as a shaded region. In the absence of induction, strains of higher affinity variants that retain the ability to activate PBP1b exhibit modestly faster growth than the WT strains. Strains of LpoB mutants that disrupt binding to PBP1b (E201R) or enzymatic activation (Y178W) fail to grow. b Titer experiments with strains from (a). Overnight cultures were serially diluted and spotted on LB agar with either 0.2% arabinose, 0.2% glucose, 25 μM IPTG or 100 μM IPTG. Data shown in (a, b) are representative of three biological replicates.

PBP1b and LpoB form a transient complex

Given that LpoB-mediated activation is critical for PBP1b catalysis in vivo, we sought to explore how LpoB contributes to each step of the polymerization reaction by measuring LpoB binding to PBP1b in the presence of lipid II substrate and glycan chain intermediates. To capture the dwell times of individual complexes, we developed a single-molecule interaction assay for PBP1b and LpoB (see Methods). To this end, PBP1b (EcPBP1bC776) and LpoB (EcLpoBS211C) were conjugated to Cy3- and Cy5-fluorophores, respectively, via cysteines at positions would that produce a high-FRET signal upon complex formation. PBP1b-Cy3 was tethered to the flow cell surface, whereas LpoB-Cy5 was applied in solution, such that baseline Cy5- and FRET-signals remained near-zero and increased dramatically only upon LpoB binding (Fig. 4a, b). We confirmed that smFRET constructs were monodispersed by size-exclusion chromatography and retained binding and GTase activity (SI Fig. 5a–c). Bulk BLI and smFRET assays yielded comparable KD values for the WT PBP1b-LpoB interaction (KD = 915 nM vs 900 nM) that closely match previously reported affinities34,35. However, we found that BLI consistently underestimated the dissociation rate of LpoB, likely due to avidity effects that arise from the high surface density of PBP1b required to achieve an adequate binding signal46. Our single-molecule assay, which is not prone to such artifacts, revealed that LpoB binds to PBP1b WT transiently, with binding events lasting on average less than half a second (Fig. 4c, d, SI Table 3). Bypass variants PBP1bQ411R and PBP1bI202F exhibit dramatically increased dwell times of the LpoB-bound state (τ = 7.7 and 10 s, respectively), consistent with the idea that LpoB has higher affinity for the activated state of the synthase32,35 (SI Fig. 6).

Fig. 4: LpoB preferentially promotes glycan synthesis initiation.
figure 4

a Schematic illustrating the PBP1b-LpoB smFRET binding assay. Cy3-labeled PBP1b is tethered to the surface, whereas Cy5-labeled LpoB is supplied in solution. In this set-up, Cy5 fluorescence and FRET signal are detected only when LpoB binds PBP1b. b Example trajectories, showing donor and acceptor fluorescence upon donor excitation (top), acceptor fluorescence upon acceptor excitation (middle) and the calculated FRET efficiency signal (bottom). Anti-correlated changes in donor and acceptor fluorescence (top) correspond to FRET transitions (bottom) and perfectly correlate with changes in direct acceptor signal (middle), i.e., Cy5-Cy3 colocalization events. c Example trajectories of LpoB binding either to apo PBP1b or to PBP1b complexed with lipid II substrate or glycan chains. Step-like increases and decreases in FRET efficiency correspond to association and dissociation events, respectively. d Dwell time histograms and exponential fits of samples from (c) with mean fits indicated on the figure. Insets show enlarged views of the histograms and fits in the 0 to 5 s range. Full binding statistics are summarized in the SI Table 3. e Schematic illustrating the relative changes in the stability of the PBP1b-LpoB complex throughout the polymerization reaction.

LpoB promotes glycan synthesis initiation

With this assay in hand, we measured how the stability of the LpoB-PBP1b complex changes as the enzyme progresses through the polymerization reaction. We approximated a subset of polymerization intermediates by adding either lipid II substrate alone (substrate binding), lipid II in the presence of divalent cations (synthesis initiation), or short glycan chains linked to the lipid carrier (an elongation intermediate). The addition of 1 μM lipid II increased the dwell time of the LpoB-bound state nearly 20-fold to τ = 9 s (Fig. 4c, d). This result demonstrates that LpoB has a higher affinity for the substrate-bound state of PBP1b and by extension, that LpoB binding promotes substrate recruitment to the enzyme. The substrate mimetic moenomycin also stabilized the complex between PBP1b and LpoB (Fig. 4c, d), suggesting that this antibiotic captures an on-pathway polymerization intermediate of PBP1b42,47,48.

Next, we added lipid II in the presence of manganese to allow polymerization to occur49. In our assay, lipid II is maintained in the flow cell in overwhelming stoichiometric excess over the enzyme (~20,000x), favoring rapid exchange between monomeric lipid II and any short chains that are formed. Under these conditions, processive polymerization is not favored, and most of PBP1b is expected to be either in the LII-bound state or the initiated state. Indeed, in smFRET dynamics assays, lipid II only and lipid II with manganese conditions produced qualitatively similar population distributions and transition density profiles (SI Fig. 2d, e), consistent with the idea that PBP1b is not elongating processively. In binding experiments, we observed a further increase in the dwell time of the LpoB-PBP1b complex to τ ~ 20 s (Fig. 4c, d), indicating that LpoB promotes synthesis initiation in addition to substrate binding.

Finally, to approximate the LpoB-PBP1b interaction during one of the elongation steps, we supplied lipid-linked glycan chains (10–15 headgroups in length) into the flow cell, matching the concentration of the lipid carrier to that of the free lipid II used above (SI Fig. 5d, also Methods). We found that the dwell times of the glycan-bound states both with (τ = 2.5 s) and without (τ = 0.7 s) manganese were considerably lower than those of lipid II-bound state (Fig. 4c, d). In agreement with this result, unlike LpoB or lipid II, addition of glycan chains did not stabilize the activated conformation of PBP1b in smFRET dynamics assays (SI Fig. 2d, e). We conclude that LpoB preferentially associates with the substrate-bound state of the enzyme and promotes glycan synthesis initiation, but may not contribute significantly to elongation (Fig. 4e). This result explains earlier observations in bulk polymerization assays that addition of LpoB shifts the distribution of glycan chains to shorter length, presumably due to an increase in the rate of initiation (SI Fig. 5c)32.

Synthesis time by PBP1b is independent of its affinity for LpoB

Our smFRET experiments suggest that LpoB functions primarily during the early stages of PG synthesis, but dissociates from PBP1b at the later stages of PG synthesis. To investigate how changing LpoB affinity affects PG synthesis in cells, we performed single-particle tracking (sp-tracking) of PBP1b WT and the activating I202F variant which increases the dwell time of the LpoB bound state 20-fold (SI Fig. 6b). To that end, we introduced a functional Halo-Tag fusion of the gamma isoform of PBP1b, in which the N-terminal cytosolic tail of PBP1b is effectively truncated (M46), as well as its I202F variant, into the background of a ponB deletion strain (SI Fig. 7a). The gamma isoform was chosen to eliminate any possible interactions with cytosolic proteins and isolate the contribution of LpoB-mediated binding and activation on the cellular dynamics of PBP1b. We first imaged the resulting strains with a fast acquisition frame rate (30 ms) to quantify the fractions of mobile and immobile molecules (SI Fig. 8a, b, SI Table 4, also Methods). Earlier sp-tracking studies established that immobile (bound) foci of PBP1b correspond to either LpoB-tethered or actively-synthesizing enzymes, whereas highly diffusive particles are inactive21,27,50. We observed a modest, but reproducible increase (~15–20%) in the fraction of the bound state for the I202F variant in comparison to WT PBP1b, consistent with an increase in synthesis initiation conferred by the mutation (Fig. 5a). We note that these population differences were not due to changes in expression levels, as I202F and WT exhibited equivalent levels of expression across a range of induction conditions (SI Fig. 7g).

Fig. 5: PBP1b synthesis time is independent of its intrinsic affinity for LpoB.
figure 5

a Representative jump distance distributions (over a period of 5 steps in length) and fits of strains expressing PBP1b-Halo-WT (TU122/pAV23, blue) and PBP1b-Halo-I202F mutant (TU122/pSI237, red), alongside the fixed cell control (TU122/pAV23, grey), imaged with a fast acquisition rate (30 ms). The chosen immobile threshold is shown as a dotted line. The I202F strain exhibits a 15–20%-fold increase (p < 0.05) in the population of the bound (active) state relative to the WT sample. Data collection parameters and statistics are summarized in SI Table 4. Distributions and fits were generated using Spot-ON sp-tracking software. b Example single-particle trajectories of strains from (a) of PBP1b-Halo-WT (blue), PBP1b-Halo-I202F mutant (red) and the fixed cell control (grey) imaged with a slower acquisition rate (225 ms). Periods of immobility (active synthesis or tethering to LpoB) correspond to step-like decreases in the instantaneous step size of the diffusing particle below the threshold value of 70 nm (dotted line). The fixed cell control shows few if any rapidly diffusing particles and has much longer periods of immobility. c Dwell time distribution histograms and exponential fits of samples from (b). PBP1b-WT and the I202F mutant exhibit similar dwell times of the bound (active) state.

We next asked whether increasing PBP1b affinity for LpoB leads to longer dwell times of the immobile PBP1b population due to either extended synthesis or LpoB-trapping. To measure the immobile state dwell times, we imaged the WT and I202F strains with longer exposure times (225 ms) and generated trajectories of step size as a function of time for each particle (SI Fig. 8a, b, see Methods). These trajectories showed reversible transitions between highly diffusive and immobile states occurring on the timescales of seconds, with drops in step size corresponding to periods of immobility (Fig. 5b). We defined an ‘immobilization’ threshold (70 nm) based on the jump distance distribution of a paraformaldehyde-fixed control and quantified the dwell times of events that fell below this threshold and lasted at least four frames (SI Fig. 7b, c, also Methods). Notably, PBP1b WT and the I202F variant exhibited equally transient immobile states that persisted for only 5 seconds on average (Fig. 5c, SI Table 4). Similarly, incorporating the high-affinity LpoB variant that retains the ability to activate PBP1b (S157V) at the native locus did not lead to an increase in the dwell time of the PBP1b WT immobile state (SI Fig. 7d–f), indicating that increasing LpoB affinity did not lengthen total synthesis time or cause PBP1b to be trapped in complex with LpoB. The observed dwell times were not limited by photobleaching, since particles in the fixed control sample were found to persist for much longer periods of time (Fig. 5b, c). Collectively with our in vitro data, these results suggest that LpoB transiently binds PBP1b promoting initiation but does not remain associated with the enzyme throughout the entire process of synthesis.

Discussion

The prototypical E. coli synthase PBP1b has been extensively studied genetically and biochemically, yet the molecular mechanism by which its lipoprotein activator LpoB stimulates PG repair in cells has remained unclear. Here we show that LpoB functions as an initiator of PG synthesis, promoting enzymatic activation of PBP1b through structural rearrangements at the GT-TP interface.

Our findings are consistent with a model in which the low affinity of apo PBP1b for both its substrate and LpoB is a central and necessary feature of its regulation, ensuring that untargeted PG synthesis is minimized (Fig. 6). In vitro, however, PBP1b binds lipid II and transitions to the activated state in the absence of LpoB, resulting in non-negligible polymerization activity (Fig. 1, SI Fig. 2). The discrepancy between in vitro and in vivo behavior can be accounted for by differences in substrate concentration between those two environments. In E. coli, lipid II is present at a copy number of ~1000-2000 molecules per cell, similar to the total number of PG synthases that compete for it and 3-4 orders of magnitude lower than what was used in our smFRET experiments or in detergent-based GT assays32,35,36,37,51,52,53. Thus, in the absence of membrane partitioning that would elevate local substrate concentration, binding events between lipid II and the apo enzyme in cells are likely too infrequent and short-lived to permit simultaneous recruitment of two lipid II molecules required to initiate synthesis54. At sites of synthesis, LpoB binding induces structural changes in PBP1b that increase its affinity for substrate 20–40-fold and dramatically enhance initiation efficiency (Fig. 6, initiation). As the polymerization reaction progresses, the stability of the LpoB-PBP1b complex decreases, and LpoB dissociates from the synthesizing enzyme (Fig. 6, elongation). Such rapid dissociation, triggered through a yet-unknown mechanism, would ensure that LpoB does not become trapped in the PG matrix and is efficiently redistributed to other areas in need of fortification.

Fig. 6: LpoB forms a transient complex with PBP1b, triggering synthesis initiation.
figure 6

Schematic overview shows the model of LpoB-mediated PG synthesis by PBP1b. Outside of areas of low PG density, low substrate availability and low PBP1b affinity for lipid II in the apo state (blue state) prevent the enzyme from efficiently initiating synthesis. Once PBP1b encounters LpoB at a gap in the PG matrix, LpoB binding induces conformational changes within the enzyme (red state), increasing substrate affinity and promoting synthesis initiation. As polymerization progresses (elongation), LpoB affinity for PBP1b decreases through a yet-unknown mechanism (grey state) and it is recycled from the synthesizing complex before the repair process can close off its escape route. PBP1b is retained on the PG substrate and completes synthesis.

What allows the later stages of synthesis to continue without LpoB? We show that individual bursts of synthesis last only a few seconds and likely do not involve processive polymerization. Indeed, AFM studies estimate that most defects in the E. coli PG matrix are ~10-15 nm2 in size, requiring incorporation of glycan material only a few lipid II headgroups long55. We therefore propose that after LpoB dissociates, tethering to the nascent glycan chain and the PG meshwork retains PBP1b at the site of synthesis long enough to complete repair (Fig. 6). Such a mechanism, in which the synthesis activity of PBP1b is not limited by the intrinsic dwell time of the LpoB-bound state, allows the enzyme to patch defects of varying sizes. Future work will determine how additional modulators of PBP1b activity, e.g., CpoB, may interplay with LpoB-mediated regulation of activity and spatiotemporal distribution of aPBPs35,56.

Our smFRET experiments demonstrate that PBP1b assumes a range of structural states with distinct functional roles. The higher FRET states, in which GT and TP-UB2H domains are brought closer together, correspond to the activated conformations of the enzyme, whereas the lower FRET states are inactive. This finding is in broad agreement with previously determined apo and moenomycin-bound structures of EcPBP1b that show that antibiotic binding is accompanied by a rigid-body tilting of TP and UB2H domains towards the GT domain40,41,42 (SI Fig. 1). In addition to these two states, we detected a previously unobserved conformation that PBP1b adopts upon binding to LpoB. The LpoB variant (Y178W) that captures this state has a loss-of-function phenotype in cellular assays, suggesting that this conformation corresponds to an inactive state of the enzyme that transitions to the activated state in the presence of lipid II. Future structural studies will be required to determine how LpoB-induced conformational changes are propagated to the active site of PBP1b to promote initiation, as well as how this coupling is lost at the later stages of synthesis. Due to the transient nature of their interaction, PBP1b complexes with LpoB and substrate have eluded structure determination. Our high-affinity LpoB variants provide an invaluable structural tool for stabilizing distinct functional intermediates of PBP1b to enable atomic-level resolution of the PG synthesis process. Capturing the substrate-bound states of PBP1b will clarify how the lipid II and the glycan chain are shuttled between the two binding sites during elongation. Finally, engineered LpoB variants that trap active and inactive conformations of PBP1b can be leveraged in high-throughput small molecule screens to identify inhibitors of PBP1b.

Precise spatiotemporal coupling of GT and TP reactions to accessory factor binding is critical for proper PG assembly57. We propose that structural dynamics at the GT-TP interface represent a unifying regulatory mechanism that coordinates activation of polymerization and crosslinking reactions by different classes of PG synthases, responsible for elongation, division, and PG fortification and repair. Indeed, activating mutations that map to this interface have been identified in several aPBPs as well as the structurally unrelated SEDS-bPBP enzymatic complexes from both gram-negative and gram-positive bacteria (SI Fig. 9)19,32,33,39,58,59,60,61,62. In each system, the allosteric switch is adapted to fit the specific mechanistic requirements of the enzyme’s physiological function. For instance, unlike PBP1b, SEDS-bPBPs undergo large-scale conformational rearrangements to achieve enzymatic activation and form stable complexes with their cellular partners to carry out processive PG synthesis21,24,25,38,63. We speculate that the conservation of this regulatory mechanism across a diverse range of structural folds and functions arises from the shared requirement for concerted activation of polymerization and crosslinking reactions.

Methods

Construct design for smFRET experiments

All constructs used for smFRET microscopy were assembled via PCR and Gibson assembly (SI Table 5). Previously described soluble truncations of EcPBP1b58-804 and EcLpoB21-213 (pCB39) were used as background constructs for all in vitro applications, unless otherwise specified30,40,41,42. For smFRET dynamics measurements, a structural disulfide in PBP1b was substituted with a salt bridge (EcPBP1bC776R-C794D) to prevent nonspecific labeling. Two cysteines were introduced at positions that do not interfere with enzymatic activity or LpoB binding to monitor conformational changes within PBP1b (EcPBP1bE187C-R300C). Finally, N-terminal FLAG and ALFA tags were incorporated into this construct (pSI228) for M1 affinity purification and immobilization on streptavidin-functionalized coverslips via a biotinylated α-ALFA nanobody (NanoTag)64. Suppressor variants I202F (pSI229) and Q411R (pSI265) were introduced into the background of the pSI228 “WT” variant. For smFRET binding experiments, single-cysteine substitutions in LpoB (pSI204, EcLpoBS211C) and PBP1b (pSI233, EcPBP1bC794A) were designed, based on the PBP1b-LpoB AlphaFold prediction, such that the distance between fluorophores would be 30 Å or less in the complex. For EcPBP1b, one of the cysteines (C776) from the native disulfides was used for labeling, whereas the other cysteine (C794) was mutated to alanine. Suppressor variants, I202F (pSI234) and Q411R (pSI242) were introduced into the background of the pSI233 “WT” variant.

Expression and purification of EcPBP1b and EcLpoB constructs

Expression and purification of constructs used for biochemistry and single-molecule imaging was carried as described before19,38,65. In brief, plasmids encoding E. coli PBP1b or LpoB variants (SI Table 5) were transformed into E. coli C43 (DE3) cells with or without SUMO tag-specific Ulp1 protease under an arabinose inducible plasmid (pAM174) respectively and grown at 37 °C for ~16 h on LB-agar plates supplemented with appropriate antibiotics (100 µg/ml ampicillin, 35 µg/ml chloramphenicol, and 50 µg/ml kanamycin). In all subsequent steps, antibiotics were added to the media at the indicated dilutions. Transformants were scraped off the plate, inoculated into 5 ml LB pre-cultures and grown for 1 h at 37 °C with shaking. These cultures were diluted into 1 L of TB 2 mM MgCl2, 0.1% glucose, and 0.4% glycerol, and grown at 37 °C with shaking until an OD600 > 2. After the cells were cooled down to 18 °C, protein expression was induced by adding 1 mM isopropyl β-d-1-thiogalactopyranoside (IPTG) and/or 0.1% arabinose to the culture. After ~16 h of induction at 18 °C, bacterial pellets were harvested by centrifugation at 7000 x g for 15 min and stored at −80 °C for subsequent purification.

For antibody-based affinity purification, bacterial pellets were resuspended in 50 mM HEPES pH 7.5, 150 mM NaCl, 20 mM MgCl2 (lysis) buffer supplemented with protease inhibitors (ThermoFisher) and benzonase nuclease (~1.5 units/ml, Sigma Aldrich). For, nickel-based purification, 50 mM Tris pH 7.5, 300 mM NaCl lysis buffer was used instead. Resuspended bacteria were homogenized and lysed by three passes through an LM10 microfluidizer (Microfluidics) at 15,000 psi. The lysate was then centrifuged for 1 h at 50,000 x g to separate membrane (pellet) and cytoplasmic (supernatant) cellular fractions. For soluble constructs (LpoB variants), the supernatant was collected, passed through a fiberglass filter and supplemented with 5 mM imidazole (nickel) or 2 mM CaCl2 (anti-Protein C) prior to affinity purification. For membrane protein constructs (PBP1b variants), the supernatant was discarded and membrane pellets were resuspended in 20 mM HEPES pH 7.5, 0.5 M NaCl, 5% glycerol, 1% n-dodecyl-β-D-maltopyranoside (DDM) buffer with douncing (ThermoFisher). The resulting mixture was solubilized for ~2 h at 4 °C with stirring and centrifuged at 50,000 x g for 1 h to separate soluble (supernatant) and insoluble fractions. The supernatant was filtered and supplemented with 2 mM CaCl2 prior to loading onto affinity resin.

For nickel-based purification, supernatant was loaded onto 1–2 mL of nickel resin previously equilibrated with lysis buffer supplemented with 5 mM imidazole. The column was then washed with 10–20 column volumes (CV) of equilibration buffer, and protein was eluted with 200 mM imidazole in 20 mM Hepes pH 7.5, 300 mM NaCl buffer. For antibody-based purifications, supernatants were loaded onto 2–4 mL of anti-protein C tag or M1 antibody resins equilibrated with 20 mM Hepes pH 7.5, 300 mM NaCl buffer with (membrane constructs) or without (soluble constructs) 0.1% DDM supplemented with 2 mM CaCl2. The columns were washed with 10–20 CVs of equilibration buffer, and proteins were eluted with 10 CVs of 0.2 mg/mL FLAG peptide or 0.2 mg/mL Protein C peptide in 20 mM Hepes pH 7.5, 300 mM NaCl 5 mM EDTA with or without 0.1% DDM. Eluates were concentrated to ~ 500 µl using an Amicon Ultra Centrifugal filter (Millipore Sigma) with a 10 kDa molecular weight cutoff (MWCO) for LpoB samples and a 100 kDa MWCO for PBP1b samples. All samples were additionally purified on a Superdex 200 Increase (Cytiva) SEC column using 20 mM HEPES pH 7.5, 350 mM NaCl buffer with or without 0.02% DDM; monomeric peak fractions were concentrated as before and flash frozen for later use.

GT activity assays

Lipid II fluorescent labeling and GT assays were performed as described previously38. Briefly, 10 µM stocks of SEC-purified EcPBP1b (see above) were diluted 10-fold into 20 mM Hepes pH 7.5, 300 mM NaCl 0.02% DDM buffer containing 10 µM lipid II-AF488 and 2 mM MnCl2 and either 5 µM LpoB or buffer control and incubated for 10–30 min at 25 °C. The reactions were quenched by incubation at 4 °C and the addition of SDS loading dye. The samples were then loaded into a 4–20% gradient polyacrylamide gel and run at 200 V for 30 min, after which glycan chains were visualized using the fluorescence Typhoon imager (Amersham Typhoon 5).

Glycan chain preparation

100 µL of 200 µM lipid II in DMSO was diluted 1:5 into 0.02% DDM buffer and polymerized by 20 µM PBP1b for 30 min as above. Glycan products were loaded onto a C18 BakerBond column (VWR) equilibrated with 5 CV of MeOH/0.1% NH4OH, followed by 5 CV of H2O/0.1% NH4OH. The column was washed with 2 CV of H2O/0.1% NH4OH, and glycan chains were separated from monomeric lipid II with a methanol gradient elution (0, 20, 40, 60, 80, 100 % MeOH/0.1% NH4OH). Two 1 CV fractions were collected for each methanol concentration, dried on a microvap for 2–6 h, lyophilized overnight, resuspended in 10 µL DMSO and stored at -20 °C. Biotinylation and visualization of the resulting products were carried out following a previously described protocol19. Briefly, 1 µL of each fraction was diluted 10-fold into 20 mM Hepes pH 7.5, 300 mM NaCl buffer to which biotinylated d-lysine and E. faecalis PBPX were added at 2 mM and 10 μM working concentration, respectively. Following incubation for 30 min at 25 °C, the reaction was quenched by addition of SDS loading dye, and samples were separated on SDS-PAGE. The products were transferred onto a low-fluorescence PVDF membrane (BioRad) and blocked in 3% BSA 1xPBS for 1 h at room temperature. Biotinylated products were visualized by incubation with fluorescently tagged streptavidin (1:5,000 IRDye 800-CW streptavidin, Li-Cor Biosciences) for an additional 1 h at room temperature. Membranes were washed three times with 1xPBS and imaged on the Typhoon imager.

smFRET sample preparation and labeling

Constructs that required fluorophore labeling were purified as described above, up until the step of concentrating the eluates from M1 or anti-Protein C tag antibody columns. These eluates were incubated with 5 mM DTT for 30 min at room temperature (RT) to reduce any oxidized cysteines and purified on SEC using 20 mM HEPES pH 7.5, 350 mM NaCl 5 mM EDTA buffer with or without 0.02% DDM (SEC buffer). Main peak fractions were collected, concentrated and labeled with 10-fold stoichiometric excess of sulfo-Cy3-maleimide and/or sulfo-Cy5-maleimide fluorophores (Lumiprobe) for 15 min at RT. Unreacted dyes were removed using zeba spin desalting columns (ThermoFisher) and the samples were further purified on SEC. Monomeric peak fractions were concentrated to 10 µM and flash frozen in aliquots for smFRET experiments.

smFRET chamber preparation and data collection

Microfluidic chambers for smFRET imaging were built as previously described38,65. Prior to imaging, the chamber was blocked with 1 mg/ml bovine serum albumin solution (NEB) for 5 min, followed by two washes with SEC buffer. Next, the surface was functionalized with 0.25 mg/ml streptavidin for 5 min, followed by two washes with SEC Buffer to remove unbound streptavidin. Next, 0.1 mg/ml anti-ALFA tag biotinylated nanobody was added, incubated for 5 mins, and excess nanobody was washed off with SEC buffer. Following this, labeled PBP1b was added to the chamber at 100–500 pM concentration and incubated with a reactive oxygen species scavenging cocktail consisting of SEC buffer with 5 mM protocatechuic acid (PCA), 0.1 µM protocatechuate-3,4-dioxygenase (PCD), 1 mM ascorbic acid (AA), and 1 mM methyl viologen (MV) for 5 min. Images were collected on an Olympus IX-71 total internal reflection (TIRF) microscope using Hamamatsu HCImage live version 4.4.0.1 and Labview version 15.0f2 software as previously described38,66.

For smFRET dynamics measurements, the power was set to 2 W/cm2 for the 532 nm laser and 1 W/cm2 for the 641 nm laser. For each sample, movies of 60–300 s in length were collected at a frame rate of 4 s-1 with two frames of 532 nm excitation alternating with one frame 641 nm excitation. Fast imaging of the PBP1b WT sample was carried out with a frame rate of 20 s-1 and with 2-fold higher laser powers (4 W/cm2 for 532 nm laser and 2 W/cm2 for 641 nm laser).

For smFRET binding measurements, movies of 20–120 seconds in length were collected with alternating single frames of 532 and 641 excitation and at varying frame rates (4–20 s1), adjusted to capture individual binding events for each condition (SI Table 3). PBP1b WT (pSI233) sample was additionally imaged at a frame rate of 20 s−1 with continuous 532 nm excitation to achieve maximal resolution of the transient binding events (τmean < 0.5 s). In those experiments, binding events were detected through FRET signal only. Laser powers were adjusted depending on the chosen exposure time. 2 W/cm2 (532 nm) and 1 W/cm2 (641) powers were used for 4 s−1; 3 W/cm2 (532 nm) and 1.5 W/cm2 (641) powers were used for 10 s−1; 4 W/cm2 (532 nm) and 2 W/cm2 (641) powers were used for 20 s-1.

Analysis of smFRET dynamics experiments

Previously described Matlab analysis pipeline was used to perform spot detection, channel alignment and background subtraction of movies from Fig. 1 and Fig. 238,66. The resulting single-molecule trajectories were further filtered to exclude trajectories containing more than one donor and one acceptor fluorophore and cropped at the time of fluorophore photobleaching using a custom Matlab script65. The publicly available ebFRET GUI was used to analyze each dataset to determine the underlying distributions of smFRET states and the kinetics of their exchange in an unbiased manner67. Given that initial analysis detected at least four independent FRET efficiency states between all the conditions tested (Fig. 1), we subsequently re-analyzed each dataset using 2-state, 3-state and 4-state models with three independent restarts. No datasets were reliably predicted to have all four states, i.e., the fourth state in each case was assigned <5% occupancy. We then chose the model (2-state or 3-state) in which the predicted FRET efficiency populations and their occupancies matched the transition frequencies between states and in which FRET efficiency values of predicted states were quantitatively similar to those of the apo and substrate-bound controls. Dwell-time histograms and exponential fits were generated by selecting time segments lasting at least three frames from trajectories exhibiting at least one true transition event. Transition frequency heat plots were generated by quantifying the total number of transition events observed in a dataset and normalizing by the total observation time. We note that dwell time histograms were not reported for EcPBP1b “WT” apo and lipid II-containing samples, since in those conditions the transition frequency was so low that the dwell times were limited by fluorophore photobleaching. smFRET dynamics fits and statistics are summarized in SI Table 1. Finally, we note that while the FRET efficiency shifts upon lipid II and moenomycin binding can be fully explained by reorientation of GT and UB2H-TP domains relative to each other, we cannot rule out the possibility that changes to the photophysical environment of the fluorophore in the presence of the lipid could contribute to the observed signal.

Analysis of smFRET binding experiments

Movies from Fig. 4 were analyzed using a publicly available automated pipeline to calculate background-subtracted intensities of donor (PBP1b) and acceptor (LpoB) fluorophores as a function of time68. Resulting trajectories were further corrected for bleed through from donor channel to acceptor channel, direct excitation of acceptor fluorophore by donor excitation laser, and differences in fluorophore quantum yield and detection efficiency69, using a custom Matlab script. PBP1b-LpoB binding events were detected from donor and acceptor colocalization events and the concomitant FRET transitions. To exclude nonspecific colocalization events, thresholds were set for minimum acceptor fluorescence intensity, for the minimum FRET signal, and for the maximum displacement between acceptor and donor centroids. Dwell times histograms and exponential fits of the bound states were calculated from time segments lasting at least three consecutive frames (SI Table 3). Single-concentration on-rates were calculated from the time segments between consecutive binding events, normalized by the concentration of fluorescently labeled LpoB used in the experiment. The affinity estimates reported in SI Table 3 represent the ratio of the off- and on-rates calculated from single-concentration experiments.

LpoB affinity maturation

A 898-member site saturation variant library (SSVL) library in which all possible amino acid substitutions were incorporated into loops 1 and 2 and the beta hairpin of EcLpoB64-213 was synthesized as double-stranded DNA (Twist Bioscience). Background vector for yeast-display (pYDS)43 was amplified and co-transformed with the insert DNA library into BJ5465 yeast with ECM 830 Electroporator (BTX-Harvard Apparatus). Yeast cells were recovered in YPAD for 1.5 h. Transformed cells containing the insert were selected by plating on tryptophan-deficient media.

Selections of high-affinity LpoB variants were carried out similarly to the nanobody campaigns described previously44,70. In brief, 108 yeast cells from the LpoB-display library were harvested and resuspended in selection buffer (20 mM HEPES pH 7.5, 300 mM NaCl, 2.8 mM CaCl2, 0.1% DDM, 0.1% BSA, 0.2% maltose) and stained for 30 min at 4 °C with either 100 nM or 25 nM of ALFA-tagged EcPBP1b-WT labeled with streptavidin-AF488 via a biotinylated α-ALFA nanobody (SI Fig. 3a). Yeast cells were washed three times with selection buffer to remove unbound antigen and sorted on Sony SH800 cell sorter using SH800 software v.2.1.6 to select clones with increased binding affinity for PBP1b (SI Fig. 3b). Sorted cells were amplified and bulk titrations on the two FACS rounds, together with the naïve library control, were carried to assess population changes in affinity (SI Fig. 7e). Since both FACS rounds showed improvement in binding affinity for PBP1b, single-yeast staining experiments of 48 randomly selected clones from the two rounds of selections were used to isolate top binders (SI Fig. 3c, d). A threshold on the total bound fraction (2-fold higher than the naïve library) was set to exclude variants with negligible changes in binding affinity, and 13 clones that passed this filtering criterion were sequenced. All 13 contained substitutions at 4 positions (A164, S157, Y178, S180). Variants at the four positions (A164S, S157V, Y178W, S180I/V) with the highest on-yeast binding were cloned into bacterial expression plasmids for further biochemical analysis. We note that we could not compare the activity of these variants to LpoB WT in GT assays for technical reasons. Our GT assays are optimized to work in the high nanomolar to low micromolar range, whereas LpoB affinity matured variants would have to be tested in the concentration regime that matches their KD values (10–50 nM), where the signal is too low to obtain high-quality readout.

Bio-layer interferometry (BLI) binding assays

The interaction affinity between PBP1b and LpoB variants was measured on Octet Red384 using the Octet BLI Discovery Software. PBP1b constructs, in which the TM domain was substituted with an N-terminal cysteine acylation site (EcPBP1b82-804, pSI199), were used for these measurements to reduce nonspecific sticking of the membrane protein to the tip surface. Engineered variants of LpoB were produced in the background of a truncation used for affinity maturation (LpoB64-213, pSI259) to match yeast selection conditions. We confirmed that lipidated PBP1b and truncated LpoB bound with a similar affinity (~900 nM) to what was previously reported for WT proteins35. BLI experiments were carried out in 20 mM Hepes pH 7.5 300 mM NaCl 0.1% DDM buffer (BLI buffer). First, 5 µg/mL anti-ALFA tag biotinylated nanobody in BLI buffer was immobilized on the surface of streptavidin-coated biosensors (Sartorius) to produce a total response of 1–2 nm. Following a wash to remove uncomplexed nanobody, 5 µg/mL ALFA-tagged PBP1b in BLI buffer was applied to the surface (4 nm total response). Following another wash to remove excess PBP1b, 8-point LpoB titrations in BLI buffer were carried with concentrations ranging from 3 nM to 5 µM, depending on condition. Resulting curves were exported to Octet Analysis Studio 13.0 Software, double-reference subtracted and fit to a global-fit model to extract kinetic and thermodynamic parameters of binding (SI Table 2).

Preparation of in vivo strains

Plasmids and strains used for in vivo experiments can be found in SI Tables 6 and 7. For sp-tracking experiments, a sandwich Halo-Tag fusion of the EcPBP1b gamma isoform (pAV23) and its I202F variant (pSI237) were CRIM-integrated45 into the background of the ponB deletion (TU122). Briefly, the host strain (TU122) was transformed with a helper plasmid (pAH69)45, and ampicillin-resistant transformants were selected on LB-agar with 100 µg/mL amp at 30 °C. The resulting strain was used for CRIM-integration of target plasmids (pAV23, pSI237) at the HK022 site. Following transformation, cultures were incubated overnight on LB-agar with 35 µg/mL chloramphenicol at 37 °C to cure the helper plasmid. Cured derivatives (TU122/pAV23, TU122/pSI237) were verified as antibiotic sensitive and streak purified. Single integration was confirmed by colony PCR, and expression was verified through western blotting. Chromosomal mutation in LpoB (S157V) was introduced into the background of the TU122/pAV23 strain through allelic exchange, using a suicide vector (pDS132) to deliver the LpoB variant as described previously71. Successful incorporation of this mutation was confirmed by sequencing, and expression of the Halo-tagged PBP1b in that background was verified through western blotting as above.

Strains for LpoB complementation titers and growth curve assays were prepared as above, through CRIM-integration of LpoB variants under the control of the IPTG-inducible lac promoter (Plac) into the background of a lpoB deletion and ponA depletion strain (CB4)30 and selection with 10 µg/mL tetracycline (tet10) on LB-agar supplemented with 0.2% arabinose. Following curing of the helper plasmid, the strains were maintained in LB with 0.2% arabinose (Ara) at 30 °C.

Complementation titers and growth curve assays

For experiments in Fig. 3, CB4 and its derivatives were streaked out on LB-Ara-tet1010 and grown overnight at 30 °C. Single colonies were grown in 5 mL of LB-ara-tet10 overnight. The OD600 value of each culture was normalized to 1 before being serially 10-fold and plated on LB with either 0.2% arabinose (permissive), 0.2% glucose (non-permissive), 25 µM IPTG and 100 µM IPTG. Titer plates were incubated for 12–14 h at 37 °C. For growth curves, OD-normalized cultures were diluted 1:1000 into ½ LB 0 NaCl with either 0.2% arabinose, 0.2% glucose or 25 µM IPTG and grown at 42 °C, with data points measured every 5 min. This growth condition was specifically chosen because it osmotically challenges E. coli cells and increases their sensitivity to cell wall defects, thereby accentuating the difference in survival between gain-of-function and loss-of-function LpoB variants. Data presented are representative of three independent biological replicates. For growth curves shown in SI Fig.. 7, TU122/pAV23 and the WT control (MG1655) were grown either under the same conditions as what was used for the sp-tracking experiments (see below), i.e., at 37 °C in LB with or without 25 μM IPTG, or at 42 °C in ½ LB 0 NaCl with or without 250 µM IPTG. The Halo-fusion of PBP1b rescued growth to WT levels in both conditions.

Quantification of protein levels in vivo strains by western blotting

Individual colonies of complementation strains were grown overnight in LB-Ara-tet1010 at 30 °C. These cultures were diluted 1:1000 into 5 mL LB-Ara containing 25 μM of IPTG and cultured 30 °C until OD600 = 0.5–0.8. Equivalent number of cells were centrifuged for each culture at 4000 g for 10 min, pellets were washed once with ice-cold 1xPBS and flash frozen in liquid nitrogen. Each pellet was solubilized in 100 µL of solution composed of 1xSDS loading buffer and 50 mM HEPES pH 7.5, 150 mM NaCl, 2 mM MgCl2 and 0.25 units/μl benzonase and incubated at room temperature for at least 30 min. Following solubilization, the samples were centrifuged at 4000 x g for 2 min to remove cell debris, and 10 µL were run on SDS-PAGE. The gel was transferred to a PVDF low fluorescence membrane using the Trans-Blot Turbo Transfer System (Bio-Rad). The membrane was blocked with 3% BSA 1xPBS for 1 h at room temperature, then incubated with primary antibody solution (rabbit α-LpoB antibody diluted 1:5,000 and mouse α-RpoA diluted 1:10,000) for 1 h at room temperature. The membrane was then washed 3 times with 1xPBS, incubated with secondary antibody solution (IRDye 800CW Anti-Rabbit IgG Goat Secondary Antibody and IRDye 680RD Goat anti-Mouse IgG Secondary Antibody, LI-COR Biosciences) for 30 min at room temperature and washed again 3 times with 1xPBS. The membrane was visualized using a fluorescence imager (Amersham Typhoon 5).

Western blotting for sp-tracking strains was carried out as above, except that the strains were outgrown at 37 °C in LB containing 0–1000 μM of IPTG. RpoA loading control was detected as above, and Halo-tagged PBP1b was detected using a mouse α-Halo tag monoclonal antibody (Promega).

Sample preparation for single-particle tracking experiments and data collection

Overnight cultures of TU122/pAV23, TU122/ AV319 (lpoB-S157V) and TU122/pSI237 were diluted 1:1000 into 5 mL of LB supplemented with 25 μM IPTG and grown for 2–2.5 h until OD600 = 0.3–0.5. Janelia Fluor HaloTag ligand 554 (JFX554, CS315101, Promega) was added to cells at a working concentration of 20 nM and cells were grown for an additional 20 min. For each condition, 1 mL of cells was harvested by centrifugation (5000 g for 2 min), washed three times with LB and resuspended in 25–50 µL of LB for TIRF fluorescence imaging. For the paraformaldehyde fixed (PFA) control, cells were grown, labeled and harvested as before and fixed for 15–20 min in 2% PFA 1xPBS. Following, fixation, the cells were washed three times with 1xPBS and resuspended in 25–50 µL of PBS for TIRF fluorescence imaging. In the following steps, the live and PFA-fixed samples were treated identically.

Cells were added to high precision #1.5 coverslips (Corning, Millipore Sigma), placed on a 2% (w/v) agarose pad in LB and imaged at 37 °C on a Nikon Ti inverted microscope equipped with a 561-laser line, a Plan Apo 100x/1.4 Oil Ph3 DM objective and a Andor Zyla 4.2 Plus sCMOS camera. Fluorescence time-lapse series were collected with 2 × 2 binning at 30 ms exposure time for 30 s and at 225 ms exposure time for 2 min, with a single brightfield reference image for each movie.

Single-particle tracking analysis

Particle tracking was performed in Fiji using the TrackMate v7.11.1 plugin72. Spots were detected using the LoG-detector with an estimated object diameter of 0.4 µm and a quality threshold of 20. An intensity threshold on the brightfield signal was set to exclude any spurious fluorescent spots outside of the cell boundaries. Spots were linked using the LAP Tracker with a maximum linking distance of 0.4 µm and a maximum frame gap of 2. Tracks consisting of at least 4 spots were exported and further analyzed using the publicly available Spot-ON analysis platform73. To estimate the populations of immobile and freely diffusing molecules, tracks were fit to a two-state model. For all conditions the fit parameters were left free, to ensure unbiased estimates, with the exception of fixed cell controls where the lower bound on the fraction of the immobile molecules was fixed to 0.8 to allow the algorithm to converge. We used a custom Matlab script to analyze the exported track files and calculate the dwell time distributions and fits of the immobile states. Briefly, for each track containing at least 8 spots, trajectories of instantaneous jump distance as a function of time were calculated, and abrupt changes in the mean jump size were detected using a thresholding function. An immobile threshold of 70 nm for the maximum jump distance was set based on the single jump distance distribution of the fixed cell control (SI Fig. 7c). Periods of immobility were assigned to uncensored time segments lasting at least four frames, in which the average step size was maintained below the 70 nm threshold (SI Fig. 7c). Resulting histograms of time segments were fit to exponential distributions to extract values of dwell time. Single-particle tracking data collection parameters and statistics are summarized in SI Table 4.

Reporting summary

Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.