Abstract
The cell envelope of gram-negative bacteria, a structure comprising an outer (OM) and an inner (IM) membrane, is essential for life. The OM and the IM are separated by the periplasm, a compartment that contains the peptidoglycan. The OM is tethered to the peptidoglycan via the lipoprotein, Lpp. However, the importance of the envelope’s multilayered architecture remains unknown. Here, when we removed physical coupling between the OM and the peptidoglycan, cells lost the ability to sense defects in envelope integrity. Further experiments revealed that the critical parameter for the transmission of stress signals from the envelope to the cytoplasm, where cellular behaviour is controlled, is the IM-to-OM distance. Augmenting this distance by increasing the length of the lipoprotein Lpp destroyed signalling, whereas simultaneously increasing the length of the stress-sensing lipoprotein RcsF restored signalling. Our results demonstrate the physiological importance of the size of the periplasm. They also reveal that strict control over the IM-to-OM distance is required for effective envelope surveillance and protection, suggesting that cellular architecture and the structure of transenvelope protein complexes have been evolutionarily co-optimised for correct function. Similar strategies are likely at play in cellular compartments surrounded by 2 concentric membranes, such as chloroplasts and mitochondria.
Author summary
Antibiotic resistance is one of the greatest threats that humanity faces today. In particular, the emergence of multidrug-resistant gram-negative bacteria has become a pressing issue. Infections caused by resistant gram-negative bacteria are indeed difficult to treat because of the presence of a double-membraned envelope that renders these bacteria less permeable to many antibiotics. Bacteria invest a great deal in protecting their envelope. They have evolved complex stress-sensing systems that allow them to monitor envelope integrity in order to detect and fix damage when it occurs. Here, using the model bacterium Escherichia coli, we show that the ability to sense and respond to stress depends on the architecture of the cell envelope, in general, and on the distance between the 2 membranes, in particular. Thus, searching for drugs targeting envelope architecture is an attractive strategy for new antibacterials. In addition, our work reveals the physiological function of the Braun’s lipoprotein (Lpp), the numerically most abundant protein in E. coli and the first lipoprotein that was discovered several decades ago.
Introduction
Although the multilayered architecture of the cell envelope of gram-negative bacteria was first described in the 1960s, we are still unraveling the links between the structure of this cellular component and its functions in the cell. The envelope of these bacteria consists of an inner membrane (IM), a classical phospholipid bilayer around the cytoplasm, and an outer membrane (OM), an asymmetric structure with phospholipids in the inner leaflet and lipopolysaccharides in the outer leaflet [1]. The space between the IM and the OM defines the periplasm, a cellular compartment that contains the peptidoglycan, a polymer of glycan strands cross-linked by short peptides that provides shape and osmotic protection to cells. This multilayered envelope, which contributes to cellular integrity and modulates permeability, is required for life and serves as an interface to the external milieu. Several essential protein machineries are present in the cell envelope, where they engage in processes that are important for envelope assembly and protection [2–5]. Many of these machineries span the periplasm, with components in both the IM and OM. The pathways that assemble the envelope and that monitor envelope integrity are tightly coordinated in order to sense and respond to damage. However, while the mechanisms of these pathways and how they cooperate to ensure envelope homeostasis have been the focus of numerous studies, the extent to which they depend on the architecture of this compartment for correct functioning is unknown.
To close this gap, here we investigated a key player in the organization of the cell envelope of Enterobacteriaceae: the small, alpha-helical protein Lpp, also known as Braun’s lipoprotein [6]. Lpp is numerically the most abundant protein in Escherichia coli, with >1 million copies per cell [7]. Such an extreme abundance suggests that it plays a major role in the cell. Importantly, Lpp provides the only covalent connection between the OM and the peptidoglycan: it is anchored to the OM via a lipid moiety at its N-terminus and attached to the peptidoglycan via its C-terminus. The attachment of Lpp to the peptidoglycan is catalyzed by a family of L,D-transpeptidases [8] that link the C-terminal lysine of Lpp to a diaminopimelic acid residue in the peptide stems of the peptidoglycan [9]. Three E. coli periplasmic enzymes (YbiS, ErfK, YcfS) exhibit this activity [8]. Both this functional redundancy and the high abundance of Lpp suggest that it must be critically important to covalently connect the OM to the peptidoglycan. However, lpp deletion mutants grow and divide normally in culture [10]. The physiological importance of Lpp and of covalently anchoring the OM to the peptidoglycan therefore remains enigmatic.
To control the critical biogenesis of the envelope and maintain its integrity, bacteria have evolved intricate signal transduction systems that induce stress responses to deal with potential dysfunctions and environmental insults to the envelope. In Enterobacteriaceae, the Regulation of Capsule Synthesis (Rcs) system monitors the integrity of the OM and the peptidoglycan [11–13] (S1 Fig). Drugs that interfere with peptidoglycan assembly or alter the lipopolysaccharide leaflet of the OM induce Rcs, which represses cellular motility and produces an extracellular capsule that functions like a protective shield [14]. Rcs is a complex stress-signaling cascade involving at least 6 components [12] (S1 Fig). Most Rcs-inducing cues are sensed by RcsF, an OM-localized lipoprotein, which detects damage caused by chemicals targeting the OM or the peptidoglycan [15, 16] or by mutations in genes involved in envelope assembly [12, 17]. Under stress, RcsF interacts with IgaA, an IM protein, thus constituting a molecular signal that turns on the Rcs pathway via a phosphorylation cascade (S1 Fig) [11, 12]. Rcs therefore mediates signal transduction from the outmost cell layer (the peptidoglycan and the OM) to the control center of the cell (the cytoplasm). To what extent the functioning of a system such as Rcs, with components on both sides of the periplasm, depends on the architecture of the cell envelope remains unknown.
Here, we established that the transmission of stress signals from the OM to the IM depends on the size of the periplasm. By manipulating the length of the lipoprotein Lpp, we demonstrated that cells in which the IM-to-OM distance is artificially increased become blind to stress affecting the peptidoglycan and the OM. Remarkably, we restored the line of communication between the 2 membranes in cells with a larger envelope by increasing the length of the stress sensor lipoprotein RcsF. We also established that the OM must be covalently attached to the peptidoglycan for intermembrane communication to occur.
Results
In order to interrogate the importance of attaching the OM to the peptidoglycan for the communication of information about cellular stress to the cytoplasm, we triggered the Rcs system in an RcsF-dependent manner [11, 16] with the compound A22, which inhibits the actin-like protein MreB15, and mecillinam, a ß-lactam antibiotic, which inhibits the essential transpeptidase PBP2 [18, 19]. Both drugs cause cells to round and eventually lyse [20, 21]. Under these conditions, relative to wild-type (WT) cells, the Rcs pathway was impaired in a mutant lacking YbiS, the primary L,D-transpeptidase [8], and even more in a mutant lacking all 3 L,D-transpeptidases [8] (ΔybiSΔerfKΔycfS cells, denoted Δldt3 here) (Fig 1A). Note that Δldt3 cells (S2A and S2B Fig) remained susceptible to A22 and mecillinam, becoming round, as expected.
The absence of YbiS, ErfK, and YcfS also impaired Rcs signalling in cells lacking mdoG (Fig 1B), a gene involved in the synthesis of periplasmic osmoprotectant sugars. Deletion of mdoG has been reported to constitutively activate Rcs via RcsF [22]. Expression of the L,D-transpeptidase YbiS, but not of a catalytically inactive variant, from a plasmid restored Rcs signalling both in the Δldt3ΔmdoG mutant and in the Δldt3 mutant in response to A22/mecillinam (Fig 1B and 1C). Thus, the inability to induce Rcs directly results from the lack of L,D-transpeptidase activity in these cells. Cells expressing an Lpp variant lacking the residue (K58 in E. coli) required for attachment of the protein to the peptidoglycan (LppΔK58) were also unable to trigger Rcs in response to mecillinam, A22, or mdoG deletion (S3A and S3B Fig). Taken together, these data indicate that cells become blind to insults that normally activate the Rcs system via RcsF when Lpp is detached from the peptidoglycan.
We then probed whether the failure to induce Rcs resulted specifically from the inability of RcsF to sense stress in cells with no peptidoglycan-linked Lpp. RcsF forms a complex with BamA, the key component of the β-barrel assembly machinery [23], and with the β-barrel proteins OmpA, OmpC, and OmpF [11, 24]. When in complex with these proteins, RcsF is sequestered from IgaA, its downstream partner, and cannot activate Rcs [11]. We previously reported that Rcs-inducing compounds such as A22 and mecillinam decrease the levels of the BamA-RcsF complex [11], likely because newly synthesised RcsF molecules cannot bind BamA under stress. In our model, failure to bind BamA prevents the sequestration of RcsF by β-barrel proteins, allowing RcsF to interact with IgaA and to turn on Rcs [11]. Here, we determined that A22 and mecillinam decreased the levels of BamA-RcsF in Δldt3 cells, similar to the decrease in WT cells (S4A and S4B Fig). Thus, the absence of Rcs induction in cells with no peptidoglycan-bound Lpp (Fig 1, S3A and S3B Fig) did not result from an impaired ability of RcsF to sense stress.
Recent studies in Salmonella concluded that Lpp was a principal determinant of the size of the periplasm [25], prompting us to consider the possibility that in cells with no peptidoglycan-bound Lpp, the structure of the cell envelope is affected in such a way that the OM lipoprotein RcsF cannot reach across the periplasm to contact IgaA in the IM and activate the Rcs system (S1 Fig). Here, cryo-electron microscopy (cryo-EM), a technique in which cells are preserved in a frozen-hydrated, near-native state, revealed that cells expressing LppΔK58 formed OM blebs and had envelope defects (Fig 2A). Similar morphological deformities were observed with the lpp deletion mutant [25, 26], indicating that, in the case of this mutant, deformities specifically resulted from the absence of covalent anchoring of the OM to the peptidoglycan. Interestingly, the average IM-to-OM distance increased by about 3 nm compared to WT cells (Fig 2B), which suggested that the absence of Rcs induction in cells with no peptidoglycan-bound Lpp could result from a larger periplasm. However, the IM-to-OM distance varied considerably along the cell axis, which complicated further interpretation of the results obtained in cells expressing LppΔK58.
Increasing the length of Lpp was previously reported to change the IM-to-OM distance in Salmonella without causing OM blebbing [25]. To clearly establish the importance of IM-to-OM distance in Rcs signalling, we engineered E. coli strains expressing longer Lpp variants (insertions of 14 residues (Lpp+14) or 21 residues (Lpp+21)) from the native lpp locus (S5A Fig); with these strains, we sought to increase the IM-to-OM distance without altering Lpp cross-linking to the peptidoglycan (S5B Fig). Strikingly, cryo-EM revealed that the IM-to-OM distance in these strains increased proportionally to the length of Lpp, with increases of 3 nm and 4 nm in cells expressing Lpp+14 and Lpp+21, respectively (Fig 2A and 2B).
We next used the engineered strains to test the impact of increasing the IM-to-OM distance on Rcs signalling. Remarkably, adding 14 or 21 residues to Lpp completely abolished Rcs activation: cells expressing Lpp+14 or Lpp+21 did not turn on Rcs when exposed to mecillinam or A22 or deleted for mdoG (Fig 3A and 3B). Stress was still sensed by RcsF in these strains, as BamA-RcsF levels decreased under stress (S6A and S6B Fig). In addition, retargeting RcsF to the IM by altering its sorting signal constitutively induced Rcs (S7 Fig), as expected [15], indicating that Rcs could still be turned on in strains expressing Lpp+14 or Lpp+21. Interestingly, increasing the length of Lpp was well tolerated: cells expressing Lpp+14 or Lpp+21 exhibited no growth defects (S5C Fig), did not bleb (Fig 2A), and had WT morphology except for a larger periplasm (Fig 2A). In addition, expression of Lpp+14 or Lpp+21 fully complemented the sensitivity of the Δlpp mutant to the membrane perturbant dibucaine [27, 28] (S5D Fig) and complemented the growth defect of the ΔmrcBΔlpp double mutant [29] (S5E Fig).
The results above are consistent with the hypothesis that RcsF does not activate the Rcs system when the size of the periplasm increases because RcsF cannot reach IgaA. If this hypothesis is correct, then making RcsF longer should allow this protein to span the increased IM-to-OM distance in order to reach IgaA and activate Rcs. RcsF has a 32-residue unstructured linker that is located upstream of the signalling domain [30, 31] and that most likely allows the protein to reach the IM. To make RcsF longer, we added 7 residues to the C-terminal part of the linker (RcsF+7; S8A and S8B Fig). Because this sequence is disordered (S8C and S8D Fig), we predicted that adding it to the linker would increase the length of RcsF by 2–3 nm (S8C Fig), roughly corresponding to the increase in length resulting from the addition of a 14-residue α-helix to Lpp (strain lpp+14). Remarkably, expression of RcsF+7 in cells producing Lpp+14 fully restored Rcs signalling in response to mdoG deletion, A22, or mecillinam (Fig 3C and 3D). It also partially rescued signalling in cells expressing Lpp+21 (Fig 3C and 3D), in which the periplasmic size is larger than WT by 4 nm (Fig 2B). Thus, increasing the length of RcsF restored normal Rcs signalling in cells in which the IM-to-OM distance was increased to a similar extent. These observations support our model that, in cells with a larger IM-to-OM distance, the absence of Rcs induction under stress results from the inability of RcsF to reach the other side of the periplasm (S9 Fig).
Discussion
Taken together, our results reveal the importance of controlling the IM-to-OM distance in the maintenance of intermembrane communication within the cell envelope, establishing the physiological importance of the size of the periplasm and highlighting the exquisite architectural organisation of the envelope. In particular, we demonstrated that strict control over the IM-to-OM distance is required for effective envelope surveillance and protection during exponential growth. Even a slight increase in the size of the periplasm disrupted the line of communication between the OM and the IM, effectively disconnecting the outer part of the envelope from the cytoplasm, where cellular behaviour is controlled (S9 Fig). Thus, envelope components have likely been subjected to evolutionary pressure to properly function in the strictly controlled dimensions of the periplasm. For example, the sizes of RcsF and of the periplasmic domain of IgaA must have been rigorously selected to allow the optimal transmission of stress signals between these 2 proteins across the envelope.
In addition, our observation that cells expressing longer Lpp variants had no phenotype in the conditions tested (Fig 2A and S5B–S5E Fig) reveals that the essential envelope-spanning machineries involved in elongation and division have enough intrinsic flexibility to adapt to changes in envelope architecture, suggesting that evolution has selected for robustness in the case of these systems. These results motivate future research to test whether the correct functioning of other envelope-spanning systems in E. coli and other bacteria also depends on strict control over IM-to-OM distance and to determine the evolutionary advantage that makes the Rcs system so susceptible to changes in the size of the periplasm.
Recent work revealed that Lpp functions as an OM tether under normal growth conditions in Salmonella [25]. Accordingly, removing the covalent connection between OM-anchored Lpp and the peptidoglycan leads to the formation of OM blebs in E. coli (Fig 2A). Interestingly, although the average IM-to-OM distance was larger in cells expressing LppΔK58 than in cells expressing WT Lpp, WT size was maintained in substantial portions of the envelope (Fig 2B). A likely explanation is that in the absence of peptidoglycan-bound Lpp, envelope proteins such as the lipoprotein Pal and the β-barrel OmpA, which noncovalently bind peptidoglycan [32, 33], partially compensate for the loss of Lpp periplasmic spanners, sustaining WT size in some envelope areas. Strikingly, in cells expressing Lpp+14 or Lpp+21, the IM-to-OM distance increased homogeneously along the cell axis, and no WT size was observed (Fig 2A and 2B), suggesting that these longer versions of Lpp override proteins like Pal and OmpA and impose a larger periplasm. Thus, Lpp may act as both a tether and a support column for the OM.
Lpp was the first lipoprotein to be identified [6]. However, the functional importance of this massively abundant protein remained poorly defined. Fifty years later, the crucial role of Lpp in controlling the architecture of the bacterial cell envelope, and in particular the IM-to-OM distance, is finally coming to light. The current investigation has revealed the importance of controlling this distance in the maintenance of intermembrane communication within the cell envelope. Cellular compartments surrounded by 2 concentric membranes occur in all kingdoms of life. By highlighting the importance of controlling the intermembrane distance in gram-negative bacteria, our work suggests that similar strategies are at play in other cellular compartments surrounded by 2 concentric membranes, such as chloroplasts and mitochondria.
Materials and methods
Bacterial strains and plasmids
Bacterial strains and plasmids used in this study are listed in S1 and S2 Tables, respectively. E. coli K12 strain MG1655 was used as WT throughout the study. For all deletion mutants, the corresponding alleles from the KEIO collection [34] were transferred into MG1655 or derivatives carrying a chromosomal PrprA-lacZ fusion at the phage lambda attachment site [35] via P1 phage transduction and validated with PCR. To excise the kanamycin-resistance cassette (kanR), pCP20 was used as described previously [36].
Construction of lpp length mutants
lpp length mutants were constructed in E. coli K12 F- λ- cells harbouring the λRed recombineering plasmid (pKD46) [36], as described previously [25]. Briefly, a tetracycline-resistance cassette (tetRA) was inserted between codons 42 and 43 of E. coli lpp. Replacement of the tetRA cassette with insertions of 14 or 21 residues (2 and 3 heptad repeats, respectively) was accomplished by introducing dsDNA fragments bearing 40 bp of homology to E. coli lpp directly flanking the 5′ and 3′ ends of the tetRA cassette. Tetracycline-sensitive transformants (lpp length mutants) were selected by plating on medium containing anhydrotetracycline (0.2 mg/ml) and fusaric acid (2.4 mg/ml). Chromosomal lpp length mutations were moved into the MG1655 background through standard λRed recombineering as described in [37]. Primer sequences are available upon request.
Construction of the lppΔK58 mutant
The lppΔK58 mutant was constructed using site-directed mutagenesis of WT lpp cloned into pBad18, as previously described [38]. lppΔK58 was moved onto the chromosome of MG1655 cells via standard λRed recombineering, as described in [37].
Construction of RcsF+7
To create a longer version of RcsF, we used pSC202 (the RcsF ORF in the low-copy vector pAM238) [36] as a template (S2 Table). The extended linker fragment was synthesised with flanking restriction sites RsrII and PstI using gene fragments (sequence available upon request). The fragment and vector pSC202 were digested and ligated to yield pRcsF+7.
β-Galactosidase assay
β-galactosidase activity was measured as described previously [39]. Briefly, cells harbouring PrprA-lacZ at the attB phage lambda site on the chromosome were diluted 1:100 from overnight cultures in Luria broth (LB), then incubated at 37°C. When needed, the cultures were treated with 0.3 μg/ml mecillinam or 5 μg/ml A22 at OD600 = 0.2. Cells were further grown for 1 h (with mecillinam treatment) or 40 min (with A22 treatment). Otherwise, cells were harvested at OD600 = 0.6. Twenty microlitres of cells were harvested and incubated with 80 μl of permeabilisation solution (60 mM Na2HPO4·2H2O, 40 mM NaH2PO4·H2O, 10 mM KCl, 1 mM MgSO4·7H2O, 50 mM β-mercaptoethanol) for 30–45 min at room temperature. Then, 600 μl of substrate (1 mg/ml O-nitrophenyl-β-d-galactoside, 50 mM β-mercaptoethanol) were added. The mixture was further incubated at 30°C for 20–25 min. Seven hundred microlitres of 1 M Na2CO3 were added to stop the reaction, and the optical density was measured at 420 nm. The standardized amount of β-galactosidase activity was reported in Miller units. The ratio of PrprA-lacZ induction was calculated relative to the basal level in a WT strain. Bar graphs with corresponding statistical analysis were prepared using Prism 7 (GraphPad Software, Inc.).
In vivo 3,3′-dithiobis[sulfosuccinimidylpropionate] (DTSSP) cross-linking
Cells were grown in LB until OD600 = 0.5. One millilitre of cells was harvested via centrifugation at 3,300 × g for 5 min at 4°C, washed, and resuspended in phosphate-buffered saline (PBS). The cell suspension was split in half and DTSSP (Thermo Scientific), prepared fresh in PBS, was added to 1 of the 2 samples to a final concentration of 2 mM. The DTSSP-treated and nontreated samples were incubated at 30°C for 1 h under orbital agitation. Glycine (0.1 M) was added to both samples to quench cross-linking. After 10 min on ice, the cell suspensions were precipitated with 10% trichloroacetic acid (TCA), washed with ice-cold acetone, and resuspended in Laemmli SDS sample buffer (2% SDS, 10% glycerol, 60 mM Tris-HCl [pH 7.4], 0.01% bromophenol blue). The volume of sample buffer used to resuspend the samples was normalised to the number of cells loaded. The samples were subjected to SDS-PAGE and immunoblotting using specific antibodies, as described below. Only data from DTSSP-treated samples are shown in S4 and S6 Figs.
SDS-PAGE and immunoblotting
Protein samples were separated in 12% or 4%–12% acrylamide gels (Life Technologies) and transferred to nitrocellulose or polyvinylidene fluoride membranes (Whatman, 0.45 μm). Immunoblotting was performed as described previously [11]. Rabbit anti-RcsF (from the Collet laboratory’s collection) and rabbit anti-Lpp (from the Hughes laboratory’s collection) were diluted 1:10,000 in 1% skim milk, TBS-T (50 mM Tris-HCl [pH 7.6], 0.15 M NaCl, 0.1% Tween 20). The membranes were incubated with horseradish peroxidase-conjugated goat anti-rabbit IgG (Sigma; 1:10,000 in 1% skim milk, TBS-T) and washed with dilution buffer. Labelled proteins were detected via enhanced chemiluminescence (Pierce ECL Western Blotting Substrate, Thermo Scientific), which was imaged with a GE ImageQuant LAS4000 camera (GE Healthcare Life Sciences). To measure RcsF levels, band intensities were quantified using ImageJ 1.48v (NIH) and analysed with ImageQuant TL software 1Dv8.1 to ensure that they were within the linear range.
Phase-contrast microscopy
Strains were grown to an OD600 of 0.5. Then, 450 μl of culture was collected and mixed with 50 μl of 10× fixing solution (0.4% glutaraldehyde, 25% formaldehyde, 330 mM sodium phosphate [pH 7.6]) for 30 min at room temperature. Cells were spun down at 6,000 × g at room temperature, resuspended in 50 μl PBS, and imaged on agarose pads.
Fixed samples were imaged with a Primo Star microscope (Carl Zeiss) equipped with an AxioCam 105 color camera (Carl Zeiss) and a phase-contrast objective (Plan-Achromat 40×/0.65 Ph2; Carl Zeiss). Images were acquired with Zen 2 (blue edition; Carl Zeiss). Exposure times and image scaling were identical for compared conditions. MicrobeTracker [40] was used to obtain cell outlines. Quantitative analysis from cell meshes was done with MATLAB R2014a (Mathworks, Inc.) using custom scripts to plot the distributions of length-to-width ratios for the strains tested.
Cryo-EM
Strains were grown aerobically in LB at 37°C until an OD600 of 0.6 was reached. Cells were spun for 5 min at 6,000 × g at 4°C and resuspended to an OD600 of about 12.
UltraAuFoil R2/2 grids (200 mesh; Quantifoil Micro Tools GmbH) were glow-discharged for 60 s at 10 mA. Cells were mixed with a solution of 10 nm colloidal gold (Sigma) immediately before freezing. A 2.5-μl droplet of sample was applied to the grid and plunge frozen using a Vitrobot MkIV (FEI Company) with a wait time of 60 s, a blot time of 5 s, a blot force of 3, and a drain time of 1 s at a constant humidity of 100%. Grids were stored under liquid nitrogen until required for data collection.
Projection images were collected on a 200 keV FEI Tecnai TF20 FEG transmission electron microscope (FEI Company) equipped with a Falcon II direct electron detector (FEI Company) using a Gatan 626 cryogenic-holder (Gatan). Leginon automated data-collection software 3.0 [41] was used to acquire images with pixel size of 0.828 nm (nominal magnification 25,000×) with a defocus of −5 μm. Membrane measurements were carried out as previously described [25]. Briefly, 3dmod from the IMOD package [42] and custom scripts were used to manually segment the IMs and OMs of projection images of about 35 cells per mutant, measuring the periplasmic width at 0.5-nm intervals to produce width histograms (Fig 2B).
Growth analysis
Single colonies were used to inoculate overnight cultures, which were diluted 1:1,000 in round-bottom 96-well plates in 200 μl LB. Absorbance was measured at 600 nm every 30 min in a Synergy H1 microplate reader (BioTek) with constant orbital shaking at 37°C. Graphs were prepared using GraphPad Prism 7.
Dibucaine sensitivity assay
Sensitivity to the membrane perturbant dibucaine was assessed on LB agar plates. Briefly, 4-ml cultures were inoculated with overnight cultures at 1:100 dilution and grown in LB at 37°C until an OD600 of about 0.5 was reached. Cell counts were normalised according to OD600, then serially diluted in LB with seven 10-fold dilutions using 96-well microtitre plates (Corning). Two microlitres of the diluted cultures were manually spotted onto the LB agar plates and incubated overnight at 37°C. When indicated, dibucaine (Sigma-Aldrich) was added to the LB agar plate at a final concentration of 1.2 mM.
Detection of Lpp linked to cell-wall sacculi
Cultures were grown until OD600 = 0.7 in LB at 37°C with agitation. Cells (1 ml) were pelleted and resuspended in 1 ml PBS. When indicated, 1 mg lysozyme (Sigma-Aldrich) and EDTA (final concentration 10 mM) were added to the resuspended cells, which were incubated for 1 h at 37°C. Lysates were obtained via TCA precipitation and resuspension in 100 μl 2× SDS Laemmli buffer. Typically, 5–10 μl of sample were loaded into 12% Bis-Tris polyacrylamide gels (Nupage). Lpp was detected using anti-Lpp antiserum.
Statistical methods
The significance of differences among bacterial strains was assessed using GraphPad Prism 7 according to analysis of variance (ANOVA), followed by the application of Tukey’s multiple-comparison test when the distribution was normal. Otherwise, the Kruskal-Wallis test was used, followed by Dunn’s multiple comparison test. Normality was assessed using the Shapiro-Wilk test.
Supporting information
Acknowledgments
We thank all members of the Collet laboratory for discussions and P. Leverrier, C. Goemans, and A. Gennaris for comments on the manuscript. We are indebted to Nassos Typas (EMBL) for insightful discussions and comments and to Carol Gross (UCSF, USA) for critically reading the manuscript.
Abbreviations
- Cryo-EM
cryo-electron microscopy
- IM
inner membrane
- Lpp
Braun’s lipoprotein
- OM
outer membrane
- Rcs
regulation of capsule synthesis
- WT
wild-type
Data Availability
All relevant data are within the paper and its Supporting Information files.
Funding Statement
FRS-FNRS http://www.fnrs.be. Received by JFC. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. FRFS-WELBIO. http://www.welbio.org (grant number Welbio-CR-2015A-03). Received by JFC. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. UK Medical Research Council Ph.D. Doctoral Training Partnership 257award (grant number MR/K501281/1). Received by JLF. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Marie Curie Career Integration Grant (grant number 630988). Received by MB. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. NIH grant (grant number GM056141). Received by KTH. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. FRS-FNRS http://www.fnrs.be (grant number). Received by ATA. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.Silhavy TJ, Kahne D, Walker S. The bacterial cell envelope. Cold Spring Harb Perspect Biol. 2010;2(5):a000414 doi: 10.1101/cshperspect.a000414 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Simpson BW, May JM, Sherman DJ, Kahne D, Ruiz N. Lipopolysaccharide transport to the cell surface: biosynthesis and extraction from the inner membrane. Philosophical Transactions of the Royal Society B: Biological Sciences. 2015;370(1679). doi: 10.1098/rstb.2015.0029 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Typas A, Banzhaf M, Gross CA, Vollmer W. From the regulation of peptidoglycan synthesis to bacterial growth and morphology. Nature reviews Microbiology. 2011;10(2):123–36. doi: 10.1038/nrmicro2677 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Tokuda SOaH. Lipoprotein Sorting in Bacteria. Annu Rev Microbiol 2011;65:239–59. doi: 10.1146/annurev-micro-090110-102859 [DOI] [PubMed] [Google Scholar]
- 5.Noinaj N, Gumbart JC, Buchanan SK. The [beta]-barrel assembly machinery in motion. Nat Rev Micro. 2017;15(4):197–204. doi: 10.1038/nrmicro.2016.191 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Braun V, R K. Chemical characterization, spatial distribution, and function of a lipoprotein (murein-lipoprotein) of the E. coli cell wall. The specific effect of trypsin on the membrane structure. Eur J Biochem 1969;10:426–38. [DOI] [PubMed] [Google Scholar]
- 7.Li GW, Burkhardt D, Gross C, Weissman JS. Quantifying absolute protein synthesis rates reveals principles underlying allocation of cellular resources. Cell. 2014;157(3):624–35. Epub 2014/04/29. doi: 10.1016/j.cell.2014.02.033 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Sophie Magnet LD, Marie Arul, Arthur Michel, Gutmann Laurent. Identification of the l,d-Transpeptidases for Peptidoglycan Cross-Linking in Escherichia coli. J Bacteriol 2008. 190(13):4782–5. doi: 10.1128/JB.00025-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Braun V, B V. Sequence of the murein-lipoprotein and the attachment site of the lipid. Eur J Biochem 1972;28. [DOI] [PubMed] [Google Scholar]
- 10.Hirota Y, Suzuki H, Nishimura Y, Yasuda S. On the process of cellular division in Escherichia coli: a mutant of E. coli lacking a murein-lipoprotein. Proc Natl Acad Sci U S A. 1977;74(4):1417–20. Epub 1977/04/01. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Cho SH, Szewczyk J, Pesavento C, Zietek M, Banzhaf M, Roszczenko P, et al. Detecting envelope stress by monitoring beta-barrel assembly. Cell. 2014;159(7):1652–64. Epub 2014/12/20. doi: 10.1016/j.cell.2014.11.045 . [DOI] [PubMed] [Google Scholar]
- 12.Majdalani N, and Gottesman S. The Rcs phosphorelay: a complex signal transduction system. Annu Rev Microbiol 2005;59:379–405. doi: 10.1146/annurev.micro.59.050405.101230 [DOI] [PubMed] [Google Scholar]
- 13.Laloux G, Collet JF. "Major Tom to ground control: how lipoproteins communicate extra-cytoplasmic stress to the decision center of the cell". Journal of bacteriology. 2017. Epub 2017/07/05. doi: 10.1128/jb.00216-17 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Huang YH, F L, Clarke DJ. The role of the Rcs phosphorelay in Enterobacteriaceae. Res Microbiol. 2006. 157(3):206–12. doi: 10.1016/j.resmic.2005.11.005 [DOI] [PubMed] [Google Scholar]
- 15.Farris C, Sanowar S., Bader M.W., Pfuetzner R., and Miller S.I. Antimicrobial peptides activate the Rcs regulon through the outer membrane lipoprotein RcsF. J Bacteriol 2010;192:4894–903. doi: 10.1128/JB.00505-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Laubacher ME, and Ades S.E. The Rcs phosphorelay is a cell envelope stress response activated by peptidoglycan stress and contributes to intrinsic antibiotic resistance. J Bacteriol 2008;190:2065–74. doi: 10.1128/JB.01740-07 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Evans KL, Kannan S., Li G., de Pedro M.A., and Young K.D. Eliminating a set of four penicillin binding proteins triggers the Rcs phosphorelay and Cpx stress responses in Escherichia coli. J Bacteriol. 2013;195:4415–24. doi: 10.1128/JB.00596-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.BG S. Mechanism of action of mecillinam. Journal of antimicrobial chemotherapy. 1977; 3:13–9. [DOI] [PubMed] [Google Scholar]
- 19.Bean GJ, F S, Westler WM, McCully ME, Sept D, Weibel DB, Amann KJ. A22 disrupts the bacterial actin cytoskeleton by directly binding and inducing a low-affinity state in MreB. Biochemistry 2009. 48(22):4852–7. doi: 10.1021/bi900014d [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Iwai N, N K, Wachi M. Novel S-benzylisothiourea compound that induces spherical cells in Escherichia coli probably by acting on a rod-shape-determining protein(s) other than penicillin-binding protein 2. Biosci Biotechnol Biochem 2002. 66:2658–62. doi: 10.1271/bbb.66.2658 [DOI] [PubMed] [Google Scholar]
- 21.Den Blaauwen T, A M, Vischer NO, Nanninga N. Penicillin-binding protein PBP2 of Escherichia coli localizes preferentially in the lateral wall and at mid-cell in comparison with the old cell pole. Mol Microbiol 2003;47(539–547). [DOI] [PubMed] [Google Scholar]
- 22.Castanié-Cornet MP, C K, Jacq A. RcsF is an outer membrane lipoprotein involved in the RcsCDB phosphorelay signaling pathway in Escherichia coli. J Bacteriol 2006;188(12):4264- doi: 10.1128/JB.00004-06 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Wu T, Malinverni J, Ruiz N, Kim S, Silhavy TJ, Kahne D. Identification of a Multicomponent Complex Required for Outer Membrane Biogenesis in Escherichia coli. Cell. 2005;121(2):235–45. doi: 10.1016/j.cell.2005.02.015 [DOI] [PubMed] [Google Scholar]
- 24.Konovalova Anna P DH, Cowles Charles E., Silhavy Thomas J.. Transmembrane domain of surface-exposed outer membrane lipoprotein RcsF is threaded through the lumen of β-barrel proteins. Proc Natl Acad Sci U S A 2014. 111(41):4350–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Cohen Eli J., Ferreira Josie L., Ladinsky Mark S., Beeby Morgan, Hughes Kelly T.. Nanoscale-length control of the flagellar driveshaft requires hitting the tethered outer membrane. Science 2017; 356(6334): 197–200. doi: 10.1126/science.aam6512 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Sonntag I, Schwarz H, Hirota Y, Henning U. Cell envelope and shape of Escherichia coli: multiple mutants missing the outer membrane lipoprotein and other major outer membrane proteins. Journal of bacteriology. 1978;136(1):280–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Nichols RJ, Sen S, Choo YJ, Beltrao P, Zietek M, Chaba R, et al. Phenotypic Landscape of a Bacterial Cell. Cell. 2011;144(1):143–56. doi: 10.1016/j.cell.2010.11.052 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Guo MS, Updegrove TB, Gogol EB, Shabalina SA, Gross CA, Storz G. MicL, a new σ(E)-dependent sRNA, combats envelope stress by repressing synthesis of Lpp, the major outer membrane lipoprotein. Genes & Development. 2014;28(14):1620–34. doi: 10.1101/gad.243485.114 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Chen Z-Y, Cao J, Xie L, Li X-F, Yu Z-H, Tong W-Y. Construction of leaky strains and extracellular production of exogenous proteins in recombinant Escherichia coli. Microbial Biotechnology. 2014;7(4):360–70. doi: 10.1111/1751-7915.12127 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Leverrier P, Declercq JP, Denoncin K, Vertommen D, Hiniker A, Cho SH, et al. Crystal structure of the outer membrane protein RcsF, a new substrate for the periplasmic protein-disulfide isomerase DsbC. J Biol Chem. 2011;286(19):16734–42. Epub 2011/04/02. doi: 10.1074/jbc.M111.224865 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Rogov VV, Rogova NY, Bernhard F, Löhr F, Dötsch V. A Disulfide Bridge Network within the Soluble Periplasmic Domain Determines Structure and Function of the Outer Membrane Protein RCSF. The Journal of Biological Chemistry. 2011;286(21):18775–83. doi: 10.1074/jbc.M111.230185 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Samsudin F, Ortiz-Suarez ML, Piggot TJ, Bond PJ, Khalid S. OmpA: A Flexible Clamp for Bacterial Cell Wall Attachment. Structure (London, England: 1993). 2016;24(12):2227–35. Epub 2016/11/22. doi: 10.1016/j.str.2016.10.009 . [DOI] [PubMed] [Google Scholar]
- 33.Cascales E, Bernadac A, Gavioli M, Lazzaroni JC, Lloubes R. Pal lipoprotein of Escherichia coli plays a major role in outer membrane integrity. Journal of bacteriology. 2002;184(3):754–9. Epub 2002/01/16. doi: 10.1128/JB.184.3.754-759.2002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Baba T, Ara T, Hasegawa M, Takai Y, Okumura Y, Baba M, et al. Construction of Escherichia coli K-12 in-frame, single-gene knockout mutants: the Keio collection. Molecular Systems Biology. 2006;2:2006.0008 doi: 10.1038/msb4100050 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Majdalani N, Hernandez D. and Gottesman S. Regulation and mode of action of the second small RNA activator of RpoS translation, RprA. Molecular Microbiology. 2002;46:813– [DOI] [PubMed] [Google Scholar]
- 36.Datsenko KA, Wanner BL. One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products. Proceedings of the National Academy of Sciences of the United States of America. 2000;97(12):6640–5. doi: 10.1073/pnas.120163297 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Gennaris A, Ezraty B, Henry C, Agrebi R, Vergnes A, Oheix E, et al. Repairing oxidized proteins in the bacterial envelope using respiratory chain electrons. Nature. 2015;528(7582):409–12. Epub 2015/12/08. doi: 10.1038/nature15764 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Cowles Charles E. L Y, Semmelhack Martin F., Cristea Ileana M., Silhavy Thomas J.. The free and bound forms of Lpp occupy distinct subcellular locations in Escherichia coli. Mol Microbiol. 2011. 79(5):1168–81. doi: 10.1111/j.1365-2958.2011.07539.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.J.H. M. Experiments in molecular genetics N.Y.: Cold Spring Harbor; 1972.
- 40.Sliusarenko O, Heinritz J., Emonet T., and Jacobs-Wagner C. High-throughput, subpixel precision analysis of bacterial morphogenesis and intracellular spatio-temporal dynamics. Molecular microbiology 2011;80:612–27. doi: 10.1111/j.1365-2958.2011.07579.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Suloway C, Shi J., Cheng A., Pulokas J., Carragher B., Potter C.S., Zheng S.Q., Agard D.A., and Jensen G.J. Fully automated, sequential tilt-series acquisition with Leginon. J Struct Biol 2009. 167:11–8. doi: 10.1016/j.jsb.2009.03.019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Kremer J. R., M DN, McIntosh J. R.. Computer visualization of three-dimensional image data using IMOD. J Struct Biol. 1996;116:71–6 doi: 10.1006/jsbi.1996.0013 [DOI] [PubMed] [Google Scholar]
- 43.Pettersen EF, Goddard TD, Huang CC, Couch GS, Greenblatt DM, Meng EC, et al. UCSF Chimera—A Visualization System for Exploratory Research and Analysis. J Comput Chem 2004;25:1605–12 [DOI] [PubMed] [Google Scholar]
- 44.Delano WL. The PyMOL Molecular Graphics System. 2002. citeulike-article-id:2816763
- 45.Ishida T, Kinoshita K. PrDOS: prediction of disordered protein regions from amino acid sequence. Nucleic acids research. 2007;35(Web Server issue):W460–4. Epub 2007/06/15. doi: 10.1093/nar/gkm363 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Liu J, Cao W, Lu M. Core side-chain packing and backbone conformation in Lpp-56 coiled-coil mutants. Journal of molecular biology. 2002;318(3):877–88. Epub 2002/06/11. doi: 10.1016/s0022-2836(02)00138-9 [DOI] [PubMed] [Google Scholar]
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