ABSTRACT
Pseudomonas aeruginosa is capable of causing a variety of acute and chronic infections. Here, we provide evidence that sbrR (PA2895), a gene previously identified as required during chronic P. aeruginosa respiratory infection, encodes an anti-σ factor that inhibits the activity of its cognate extracytoplasmic-function σ factor, SbrI (PA2896). Bacterial two-hybrid analysis identified an N-terminal region of SbrR that interacts directly with SbrI and that was sufficient for inhibition of SbrI-dependent gene expression. We show that SbrI associates with RNA polymerase in vivo and identify the SbrIR regulon. In cells lacking SbrR, the SbrI-dependent expression of muiA was found to inhibit swarming motility and promote biofilm formation. Our findings reveal SbrR and SbrI as a novel set of regulators of swarming motility and biofilm formation in P. aeruginosa that mediate their effects through muiA, a gene not previously known to influence surface-associated behaviors in this organism.
IMPORTANCE This study characterizes a σ factor/anti-σ factor system that reciprocally regulates the surface-associated behaviors of swarming motility and biofilm formation in the opportunistic pathogen Pseudomonas aeruginosa. We present evidence that SbrR is an anti-σ factor specific for its cognate σ factor, SbrI, and identify the SbrIR regulon in P. aeruginosa. We find that cells lacking SbrR are severely defective in swarming motility and exhibit enhanced biofilm formation. Moreover, we identify muiA (PA1494) as the SbrI-dependent gene responsible for mediating these effects. SbrIR have been implicated in virulence and in responding to antimicrobial and cell envelope stress. SbrIR may therefore represent a stress response system that influences the surface behaviors of P. aeruginosa during infection.
INTRODUCTION
The Gram-negative bacterium Pseudomonas aeruginosa is an opportunistic human pathogen notorious for being the principal cause of morbidity and mortality in cystic fibrosis (CF) patients (1). In patients with CF, chronic pulmonary colonization by P. aeruginosa leads to chronic inflammation, progressive loss of lung function, and eventually respiratory failure and death (1). P. aeruginosa is also the fifth leading cause of nosocomial infections overall in the United States and is the second most common cause of ventilator-associated pneumonia (VAP) and catheter-associated urinary tract infections (CAUTI) (2, 3). In patients with VAP or CAUTI, P. aeruginosa grows as a biofilm on endotracheal tubes and catheters, respectively (4–6). In addition, P. aeruginosa is thought to persist as a biofilm in the CF lung (7). P. aeruginosa biofilms are associated with chronic infection and exhibit increased antibiotic resistance and resistance to clearance by the immune system (8). Thus, the ability to form biofilms contributes significantly to the clinical burden of P. aeruginosa infection.
In P. aeruginosa, growth as a biofilm is inversely regulated with a cooperative form of multicellular surface motility called swarming (9–12). Swarming motility is flagellum dependent and requires the secretion of surfactants regulated by quorum sensing (13–16). In addition, swarming motility correlates with increased expression of virulence factors and is associated with acute infection (9, 17). Several systems are known to mediate the transition from motile, swarming cells to cells growing as sessile biofilms, including cyclic di-GMP (c-di-GMP) signaling and the GacS/GacA two-component system (9, 11, 12).
PA2895, which we refer to here as sbrR, was identified in a signature-tagged mutagenesis (STM) screen as being required for persistence in a rat lung model of chronic P. aeruginosa respiratory infection (18). Although SbrR has no significant homology to previously characterized proteins, sbrR is located in a putative bicistronic operon downstream of the PA2896 gene encoding a putative extracytoplasmic function (ECF) σ factor that we refer to here as SbrI (19). As a group, ECF σ factors are frequently cotranscribed with their own negative regulator, a transmembrane anti-σ factor (20, 21). Upon stimulation by the appropriate extracytoplasmic signal, the ECF σ factor is released from the anti-σ factor, allowing it to associate with RNA polymerase (RNAP) and activate expression of its regulon.
Here, we present evidence that SbrI and SbrR are an ECF σ and anti-σ factor pair. We identify the SbrIR regulon and show that SbrI and SbrR influence biofilm formation and swarming motility by controlling the expression of muiA (mucoidy inhibitor A) (PA1494). In particular, we show that cells lacking sbrR are unable to engage in swarming motility and exhibit increased biofilm formation due to the SbrI-dependent increase in muiA expression observed in these cells. We have named PA2896 and PA2895 SbrI and SbrR, respectively, as a result of the swarming- and biofilm-related phenotypes we observe in ΔsbrR mutant cells. SbrI and SbrR constitute a pair of regulators controlling swarming motility and biofilm formation in P. aeruginosa that mediate their effects through MuiA.
MATERIALS AND METHODS
Bacterial strains.
E. coli DH5αF′IQ (Invitrogen) was used as the recipient strain for all plasmid constructions. E. coli SM10 λpir served as the conjugative donor for transferring plasmids into P. aeruginosa during strain construction. The P. aeruginosa strains used included PAO1 (provided by A. Rietsch) and PA14 (provided by L. Rahme). Bacterial cultures were routinely grown at 37°C in lysogeny broth (LB) or on plates containing LB solidified with 1.5% agar unless otherwise noted. When appropriate, gentamicin (30 μg/ml) and carbenicillin (200 μg/ml) were used for selection in P. aeruginosa cultures. A list of strains and plasmids used in this study is available in Table S1 in the supplemental material.
Plasmids and strains for TAP tag experiments.
Plasmid pP30Δ-PA2896-TAP was made by cloning an ∼300-bp fragment of DNA corresponding to a 3′ portion of the sbrI gene into pP30Δ-YTAP cut with HindIII and NotI; the portion of the PA2896 gene was cloned so that it was in frame with the DNA specifying the tandem-affinity purification (TAP) tag. pP30Δ-SbrI-TAP was used to generate PAO1 SbrI-TAP, as previously described (22). Strain PAO1 RpoS-TAP was constructed in a similar way using the vector pP30Δ-RpoS-TAP, which contains a portion of the P. aeruginosa rpoS gene fused in frame to DNA specifying the TAP tag. The PAO1 AceF-TAP strain, which expresses AceF-TAP and served as a control, has been described previously (22). Plasmid pP30ΔFRT-SbrI-VSV-G was made by subcloning the HindIII/NotI sbrI fragment from pP30Δ-SbrI-TAP into pP30ΔFRT-MvaT-VSV-G to replace mvaT so that the 3′ end of sbrI was in frame with the vesicular stomatitis virus G protein (VSV-G) tag (23). PAO1 β′-TAP SbrI-V was constructed in a similar manner by integrating pP30ΔFRT-SbrI-VSV-G into the previously described strain PAO1 β′-TAP (24).
Reporter strain and plasmids for bacterial two-hybrid assays.
Bacterial two-hybrid assays were performed with the Escherichia coli reporter strain KS1 (25); KS1 harbors on its chromosome the PlacλOR2-62 test promoter driving expression of a linked lacZ reporter gene. Plasmids pACλcI32 and pBRαLN have been described previously (26) and were used to create fusions to the C terminus of λcI and the C terminus of the α-linker, respectively. Plasmid pACλcI-SbrR-NTR encodes λcI (residues 1 to 236) fused to residues 2 to 64 of SbrR from P. aeruginosa via a small linker composed of three alanine residues. Plasmid pACλcI-SbrR-NTR was made by cloning the appropriate NotI-BamHI-digested PCR product into pACλcI32 that had been digested with NotI and BstYI, thus placing expression of the λcI-SbrR-NTR fusion protein under the control of the IPTG (isopropyl-β-d-thiogalactopyranoside)-inducible lacUV5 promoter. Plasmid pBRα-SbrI encodes residues 1 to 248 of the α subunit of E. coli RNA polymerase fused to residues 2 to 194 of SbrI from P. aeruginosa via a small linker composed of three alanine residues. Plasmid pBRα-SbrI was made by cloning the appropriate NotI-BamHI-digested PCR product into pBRαLN digested with NotI and BamHI, thus placing the α-fusion under the control of tandem lpp and IPTG-inducible lacUV5 promoters. Plasmid pBRα encodes wild-type (WT) α under the control of tandem lpp and IPTG-inducible lacUV5 promoters and has been described previously (25).
Promoter-lacZ fusion reporter strains.
The PAO1 promoter-lacZ fusion reporter strains PAO1 attB::PsbrI-lacZ, PAO1 attB::PmuiA-lacZ, and PAO1 attB::PPA4495-lacZ contain the putative promoter regions of sbrI, muiA, and PA4495, respectively, fused to the lacZ gene and integrated in single copy into the ϕCTX locus in the PAO1 chromosome. The putative sbrI promoter region consisted of the 327-bp intergenic region upstream of the sbrI start codon (27). This region was amplified by PCR and cloned into mini-CTX-lacZ as a BamHI/PstI fragment to generate mini-CTX-PsbrI-lacZ. The upstream intergenic regions of muiA (122 bp) and PA4495 (275 bp) were also PCR amplified and cloned into mini-CTX-lacZ on HindIII/BamHI fragments to generate mini-CTX-PmuiA-lacZ and mini-CTX-PPA4495-lacZ, respectively. The resulting plasmids were integrated in single copy into the ϕCTX site to create reporter strains PAO1 attB::PsbrI-lacZ, PAO1 attB::PmuiA-lacZ, and PAO1 attB::PPA4495-lacZ as previously described (28).
Construction of deletion mutant strains.
The deletion construct for the sbrR gene was generated by amplifying regions ∼700 bp in length that flank sbrR in the PAO1 genome by PCR and then splicing the flanking regions together by overlap extension PCR. Due to a 4-bp overlap between the 3′ end of sbrI and the 5′ end of sbrR, the deletion was designed so that sbrI would not be disrupted by the sbrR deletion construct. The deletion was in frame and contained a 9-bp NotI linker sequence, 5′-GCGGCCGCC-3′, separating the two flanking regions. The resulting PCR product was cloned on a HindIII/XbaI fragment into plasmid pEXG2 (29), yielding plasmid pEXG2-ΔsbrR. The PAO1 ΔsbrR and PA14 ΔsbrR deletion strains were generated with this plasmid by allelic replacement, as previously described (30). Plasmid pEXG2-ΔsbrR was also used to generate the ΔsbrR mutant reporter strains in a similar manner. The ΔsbrIR deletion construct was generated by amplifying the ∼700-bp 5′ flanking region of sbrI in the PAO1 genome by PCR. The PCR product was digested with XbaI and NotI and cloned into pEXG2-ΔsbrR digested with XbaI and NotI, so that the 5′-flanking sbrI XbaI/NotI fragment replaced the 5′ flanking region used for deleting sbrR, yielding plasmid pEXG2-ΔsbrIR. This plasmid was used to create the ΔsbrIR deletion strains, as previously described (30). The muiA deletion construct was made in a similar fashion to the sbrR deletion construct. Flanking regions ∼700 bp in length on either side of muiA in the PAO1 genome were amplified by PCR and spliced together by overlap extension PCR. The deletion was in frame and included the NotI linker, as described above. This PCR product was cloned into pEXG2 to generate pEXG2-ΔmuiA. The resulting plasmid was used to delete muiA, as described above. Deletions were confirmed by PCR.
Tandem-affinity purification.
Cells were grown at 37°C with aeration in 200 ml of LB in 1-liter flasks to an optical density at 600 nm (OD600) of ∼1 and then harvested by centrifugation at 4°C. TAP was then performed, as described previously (29). The purified proteins were concentrated using Amicon Ultra-4 centrifugal-filtration units with a 10-kDa molecular-mass cutoff (Millipore), separated on 4 to 12% Bis-Tris NuPAGE gels (Invitrogen), and stained with Coomassie blue.
Western blots.
Purified proteins and cell lysates were separated on 4 to 12% Bis-Tris NuPAGE (Invitrogen), and Western blotting was performed as described previously (22). The VSV-G tag was detected using polyclonal rabbit anti-VSV-G (Sigma-Aldrich) and peroxidase-conjugated goat anti-rabbit IgG antibodies (Sigma-Aldrich).
Bacterial two-hybrid assays.
Cells were grown with aeration at 37°C in LB supplemented with kanamycin (50 μg/ml), carbenicillin (100 μg/ml), chloramphenicol (25 μg/ml), and IPTG at the concentrations indicated. β-Galactosidase assays were performed as described previously (26). Assays were performed three times in duplicate on separate occasions, and a representative data set is shown. The values are averages based on one experiment; duplicate measurements differed by <10%.
Construction of sbrR, sbrI, and muiA expression plasmids.
To make expression plasmid pPSV38-SbrR, a DNA fragment containing the P. aeruginosa PAO1 sbrR coding sequence flanked by HindIII and BamHI sites was amplified by PCR and cloned into pPSV38 (31). pPSV38-SbrR directs IPTG-inducible synthesis of SbrI and confers resistance to gentamicin. The same process was used to generate expression plasmid pPSV38-SbrI. To construct pPSV38-SbrR-NTR, a DNA fragment encoding the first 64 residues of SbrR flanked by HindIII and BamHI sites was amplified by PCR and cloned into pPSV38. To make pHERD20T-MuiA, a DNA fragment containing the P. aeruginosa PA14 muiA coding sequence flanked by XbaI and PstI was amplified by PCR and cloned into pHERD20T (32). pHERD20T-MuiA directs the arabinose-inducible synthesis of MuiA and confers resistance to ampicillin.
Microarray experiments.
Cells of PAO1 (pPSV38), PAO1 ΔsbrR (pPSV38), PAO1 ΔsbrR (pPSV38-SbrR), and PAO1 ΔsbrIR (pPSV38) were grown with aeration at 37°C in 200 ml LB supplemented with gentamicin (30 μg/ml). Biological-duplicate cultures of each strain were inoculated at a starting OD600 of 0.01 and grown to an OD600 of ∼0.5 (corresponding to the mid-logarithmic phase of growth). RNA isolation, cDNA synthesis, cDNA fragmentation, and labeling were performed as described previously (33). Labeled cDNA was hybridized to Affymetrix GeneChip P. aeruginosa genome arrays (Affymetrix), and GeneSpring GX (Agilent Technologies) was used to analyze data for statistically significant changes in gene expression. The genes with changes in expression of ≥2-fold (P ≤ 0.01) are listed in Table 1.
TABLE 1.
DNA microarray results comparing fold changes in gene expression relative to WT PAO1
| Gene no. | Gene name | Fold changea |
||
|---|---|---|---|---|
| PAO1 ΔsbrR pPSV38 vs. PAO1 pPSV38 | PAO1 ΔsbrR pSbrR vs. PAO1 pPSV38 | PAO1 ΔsbrIR pPSV38 vs. PAO1 pPSV38 | ||
| PA0086 | tagJ1 | 2.3 | — | — |
| PA0089 | tssG1 | 2.2 | — | — |
| PA0167 | — | −2.4 | — | |
| PA0171 | 2.5 | — | — | |
| PA0839 | 3.8 | — | — | |
| PA0971 | tolA | 3.5 | — | — |
| PA0972 | tolB | 2.6 | — | — |
| PA1202 | 13.0 | 14.0 | — | |
| PA1203 | 4.2 | 3.1 | — | |
| PA1493 | cysP | 2.8 | — | — |
| PA1494 | muiA | 103.1 | −2.2 | −2.2 |
| PA2432 | bexR | 14.2 | 9.5 | — |
| PA2895 | sbrR | — | 6.0 | −2.0 |
| PA2896 | sbrI | 18.0 | — | −2.4 |
| PA3179 | — | 2.1 | 2.2 | |
| PA3569 | mmsB | −9.7 | — | — |
| PA3570 | mmsA | −9.3 | — | — |
| PA3876 | narK2 | 2.8 | 6.9 | 4.9 |
| PA3923 | −5.4 | — | — | |
| PA4495 | 21.9 | — | — | |
| PA5172 | arcB | −2.6 | — | — |
| PA5315 | rpmG | 2.7 | — | — |
| PA5435 | −2.4 | — | — | |
| PA5445 | 2.5 | — | — | |
—, no change in expression. pPSV38 is an empty-vector control.
Reporter strain β-galactosidase assays.
Cells were grown at 37°C with aeration in LB supplemented with gentamicin (30 μg/ml). The cells were permeabilized with sodium dodecyl sulfate and CHCl3 and assayed for β-galactosidase activity, as described previously (26). Assays were performed at least twice in biological triplicate. Representative data sets are shown.
Motility assays.
Swimming motility and swarming motility assays were performed as previously described (34, 35). Agar plates for assessing swimming motility and swarming motility consisted of M8 medium (34, 35) supplemented with glucose, MgSO4, Casamino Acids (CAA), and 0.3% agar for swim plates or 0.5% agar for swarm plates. Arabinose (0.1%) was added where indicted. Swim plates were stab inoculated from colonies grown overnight on LB agar plates. Swarm plates were inoculated with 3 μl of liquid culture grown overnight in LB. Swim plates and swarm plates were incubated for ∼20 h at 37°C. Quantification of swim and swarm zones was performed using ImageJ software. Experiments for testing swimming motility and swarming motility were performed in biological triplicate or quadruplicate on three separate days. The data shown are aggregates of 3 separate experiments normalized to the WT. Subsurface twitching motility was assayed as described previously (36). Bacteria were stab inoculated through a layer of LB agar (1% agar) to the bottom of the petri dish. After incubation for ∼24 h at 37°C, the twitching motility was examined by removing the agar and staining the attached cells with Coomassie blue (Sigma-Aldrich). Quantification of twitching motility was performed by measuring the maximum diameter in millimeters of the circular zones formed by attached cells. Twitching motility experiments were performed in quadruplicate on two separate occasions. The data shown represent the results of those experiments shown in aggregate and normalized to the WT. Statistical analysis of motility data was performed using Prism version 6.0 (GraphPad).
Biofilm formation assay.
Biofilm formation in 96-well microtiter plates was assayed as previously described, with modifications (37). Overnight cultures grown in LB were used to inoculate fresh medium to a starting OD600 of 0.1. The medium was supplemented with carbenicillin (200 μg/ml) and 1% arabinose, as indicated; 100 μl of each bacterial suspension was dispensed in quadruplicate into the wells of a Costar 96-well polyvinylchloride microtiter plate and incubated for 8 h at 37°C. Following incubation, the plates were washed twice with water, and adherent biofilms were stained with 150 μl of 0.1% crystal violet for 15 min. Following staining, the plates were washed twice with water and allowed to dry overnight. The stained biofilms were solubilized with 200 μl of 33% acetic acid, and absorbance at 595 nm was read with a Tecan Infinite 200 plate reader. Experiments were performed on at least two separate occasions. Representative results are shown.
Microarray data accession number.
The data discussed here have been deposited in NCBI's Gene Expression Omnibus (38) and are accessible through GEO Series accession number GSE74917.
RESULTS
SbrI associates with RNA polymerase.
sbrR was previously identified through a signature-tagged transposon mutagenesis screen as essential for the persistence of P. aeruginosa in a chronic respiratory infection model (18). sbrR is predicted to be a component of a bicistronic operon, together with sbrI (Fig. 1A). A 4-bp overlap in the coding sequences of sbrR and sbrI suggests strong translational coupling of these genes. While SbrR has no homology to any previously characterized proteins, SbrI is annotated as a probable ECF σ factor in the Pseudomonas Genome Database and shares significant sequence homology with other ECF σ factors (27). To determine if SbrI might function as a σ factor, we purified SbrI from cells of P. aeruginosa and asked whether subunits of RNAP copurified with it.
FIG 1.

SbrI interacts with RNAP and is more abundant in ΔsbrR mutants. (A) Putative sbrIR operon. (B) The β, β′, and α subunits of RNAP copurify with RpoS-TAP (lane 2) and SbrI-TAP (lane 3) but not with AceF-TAP (lane 1). The purified proteins were separated by SDS-PAGE and stained with Coomassie blue. AceF-CBP, RpoS-CBP, and SbrI-CBP indicate the purified proteins with the calmodulin binding protein (CBP) moiety that remains after cleaving the protein A moiety of the TAP tag during purification. (C) SbrR has a negative effect on SbrI-V protein abundance. Shown is an anti-VSV-G Western blot of WT PAO1 (lane 1), PAO1 SbrI-V (lane 2), and PAO1 ΔsbrR SbrI-V (lane 3).
To facilitate the purification of SbrI from P. aeruginosa, we constructed a strain of PAO1 that synthesized SbrI with a TAP tag fused to its C terminus (SbrI-TAP) from its native chromosomal location. As a positive control for our ability to detect an association between a σ factor and RNAP, we also constructed a second strain that synthesized the stationary-phase-specific σ factor RpoS with a C-terminal TAP tag (RpoS-TAP). As a negative control, we used a previously constructed strain that synthesizes AceF (a subunit of pyruvate dehydrogenase that is not expected to interact with RNAP) with a TAP tag fused to its C terminus (AceF-TAP) (22). We then purified SbrI, RpoS, and AceF by TAP and analyzed those proteins that copurified by SDS-PAGE, followed by staining with Coomassie blue. Proteins with the expected molecular weights for the β, β′, and α subunits of RNAP copurify with both RpoS-TAP and SbrI-TAP but not the negative-control AceF-TAP (Fig. 1B). This suggests that SbrI associates with RNAP in vivo, consistent with its predicted function as a σ factor. SbrI appears as a doublet in Fig. 1B, suggesting it can exist as a high-molecular-weight and a low-molecular-weight species. It is unclear if this doublet represents SbrI processing or the use of an alternative translational start site or if there is any functional difference between the two forms. However, both forms copurify with β′-TAP (see Fig. S1 in the supplemental material), suggesting that both forms are capable of associating with RNAP.
SbrR negatively influences the abundance of SbrI.
The genomic arrangement of sbrI and sbrR is consistent with that of an ECF σ factor and its cognate anti-σ factor. In the absence of their cognate anti-σ factors, autoregulated σ factors can become constitutively active, resulting in increased abundance of the σ factor. However, in some cases, ECF σ factors exhibit reduced activity and abundance in the absence of their cognate anti-σ factors, which are thought to stabilize and protect the σ factor from degradation (39, 40). Alternatively, anti-σ factors can also promote the proteolysis of their cognate σ factors (41). A comparison of the abundance of SbrI with a C-terminal VSV-G epitope tag (SbrI-V) in WT and ΔsbrR mutant cells revealed that SbrI-V (synthesized from its native locus) is more abundant in the absence of SbrR (Fig. 1C). This suggests that SbrR negatively influences the abundance of SbrI and that SbrR might inhibit the expression of sbrI.
Transcription from the sbrI promoter is negatively regulated by SbrR.
After observing increased SbrI protein abundance in cells of the ΔsbrR mutant strain, we were interested in determining whether SbrR represses transcription from the sbrI promoter. To test this, we integrated a construct with the putative sbrI promoter region upstream of a lacZ reporter at the ϕCTX phage attachment site on the PAO1 chromosome to generate the reporter strain PAO1 attB::PsbrI-lacZ. We then created an in-frame ΔsbrR deletion in this strain to test the effects of SbrR on expression from the sbrI promoter. In cells of the ΔsbrR mutant reporter strain, β-galactosidase activity increased 45-fold relative to that observed in cells of the WT reporter strain (Fig. 2A, left graph), suggesting that SbrR inhibits transcription from the sbrI promoter. This increase was restored to WT levels by complementation with sbrR from a plasmid (Fig. 2A, left graph). Cells of the ΔsbrIR double-mutant strain exhibited basal levels of β-galactosidase activity similar to that observed in cells of the WT reporter strain (Fig. 2A, left graph), suggesting that expression from the sbrI promoter is sbrI dependent. Ectopic expression of sbrI in cells of the ΔsbrIR mutant strain resulted in an increase in β-galactosidase activity (Fig. 2A), confirming the positive regulatory effect of SbrI on its own promoter. Expression of the PsbrI-lacZ reporter was higher in cells of the ΔsbrR mutant than in cells of the ΔsbrIR double mutant, in which sbrI was under the control of a heterologous promoter (Fig. 2A). This difference might be explained by an SbrI-dependent positive-feedback loop that serves to amplify sbrI expression only when sbrI is under the control of its native promoter. Taken together, these results suggest that SbrR inhibits SbrI-dependent transcription and that sbrI is positively autoregulated, consistent with a model in which SbrI is an ECF σ factor that controls its own expression and SbrR is its cognate anti-σ factor.
FIG 2.
SbrR is an anti-σ factor that directly interacts with SbrI and inhibits its activity. (A) β-Galactosidase activities of PAO1 PsbrI-lacZ, PAO1 PmuiA-lacZ, and PAO1 PPA4495-lacZ reporter strains. ΔsbrR and ΔsbrIR mutants were generated in each reporter strain and transformed with the indicated plasmids. pPSV38 is an empty-vector control. The error bars represent standard deviations between three biological replicates. (B) Schematic representation of SbrR and the location of its predicted transmembrane (TM) domain. (C) Schematic representation of the bacterial two-hybrid system. Interaction between the N-terminal region of SbrR (SbrR-NTR) fused to λcI and SbrI fused to the α subunit of RNA polymerase activates transcription from the test promoter driving expression of lacZ. The diagram depicts the test promoter PlacλOR2-62, which bears the λ operator OR2 centered 62 bp upstream from the transcription start site of the lac core promoter. This test promoter is linked to lacZ and located on the chromosome. (D) Effect of λcI-SbrR-NTR on transcription from PlacλOR2-62 in the presence of the α-SbrI chimera. Cells harboring compatible plasmids directing the synthesis of the indicated proteins were grown in the presence of different concentrations of IPTG and assayed for β-galactosidase activity.
The N-terminal region of SbrR inhibits the activity of SbrI.
It has been shown that the N-terminal cytoplasmic region of ECF anti-σ factors can be sufficient for anti-σ factor activity (40, 42–44). SbrR is predicted to contain a single transmembrane α-helix from residues 65 to 87, with a cytoplasmic N-terminal domain and a periplasmic C-terminal domain (CTD), consistent with the membrane topology of other ECF anti-σ factors (Fig. 2C). To determine if the N-terminal region (NTR) of SbrR was capable of inhibiting SbrI-dependent gene expression, we truncated SbrR at the start of the predicted transmembrane domain to produce SbrR-NTR (residues 1 to 64) (Fig. 2B). The levels of β-galactosidase activity in the ΔsbrR reporter strain expressing SbrR-NTR are indistinguishable from those expressing full-length SbrR (Fig. 2A), which suggests SbrR-NTR contains the region of SbrR necessary for inhibiting SbrI activity. It further suggests that SbrR-NTR may contain a domain that is capable of interacting with SbrI.
The N-terminal region of SbrR interacts with SbrI.
ECF anti-σ factors inhibit their cognate σ factors by binding to them directly and preventing their association with RNAP (42, 44–46). We have shown that both SbrR and SbrR-NTR inhibit SbrI-dependent gene expression (Fig. 2B), and we next sought to determine whether SbrR directly interacts with SbrI, using a bacterial two-hybrid system.
In this two-hybrid system, the detection of a protein-protein interaction relies on the observation that an interaction between a DNA-bound protein and a subunit of RNAP can result in transcription activation of a test promoter (25, 26, 47). In the version of the assay used here, contact between a protein fused to the α subunit of E. coli RNAP and another protein (or protein domain) fused to the λcI DNA-binding protein activates the transcription of a lacZ reporter gene situated downstream of an appropriate test promoter containing a λcI binding site (Fig. 2C).
To test whether SbrR could interact directly with SbrI, we created two compatible plasmids, one expressing SbrR-NTR (residues 2 to 64) fused to the C terminus of λcI and the other expressing an α fusion protein where the CTD of α has been replaced with full-length SbrI (residues 2 to 194). We then determined whether the resulting λcI-SbrR-NTR fusion protein could activate transcription from the test promoter in cells that also synthesized the α-SbrI fusion protein. Plasmids directing the synthesis of the λcI-SbrR-NTR and the α-SbrI fusion proteins were used to transform E. coli strain KS1, which harbors the PlacλOR2-62 test promoter (depicted in Fig. 2C) linked to lacZ and integrated in single copy in the E. coli chromosome (26). We found that the λcI-SbrR-NTR fusion protein strongly activated the transcription of the lacZ reporter in cells that also synthesized the α-SbrI fusion protein but not in cells that contained only WT α (Fig. 2D). Additional controls revealed that WT λcI failed to activate expression of the lacZ reporter in the presence of the α-SbrI fusion protein or in the presence of WT α (Fig. 2D). These results suggest that SbrR and SbrI directly interact, consistent with the hypothesis that SbrR is the cognate anti-σ factor of SbrI.
Defining the SbrIR regulon.
Next, we wanted to identify the genes controlled by SbrI and SbrR. Based on our results described above, which show that SbrR inhibits the expression of sbrI and that SbrI is positively autoregulated, we reasoned the SbrI regulon would be constitutively expressed in ΔsbrR mutant cells. Using DNA microarrays, we compared gene expression in ΔsbrR mutant cells, ΔsbrIR mutant cells, and WT cells containing an empty vector, together with ΔsbrR mutant cells containing a vector that expresses sbrR.
Compared to WT cells, the expression of 21 genes changed >2-fold in cells of the ΔsbrR mutant (Table 1). The expression of three genes in particular was strongly influenced by the deletion of sbrR. Specifically, the expression of muiA (PA1494) was 103-fold higher in cells of the ΔsbrR mutant than in WT cells, while expression of PA4495 and sbrI was 22- and 18-fold higher, respectively, in cells of the ΔsbrR mutant than in the WT (Table 1). The effects of the ΔsbrR deletion on muiA, PA4495, and sbrI expression could be complemented by providing sbrR in trans from a plasmid (Table 1). Furthermore, upregulation of muiA and PA4495 did not occur in cells of the ΔsbrIR double mutant, suggesting that the upregulation of these genes observed in cells of the ΔsbrR single mutant is dependent upon SbrI (Table 1). Consistent with the results of our microarray analyses, the expression of putative muiA promoter- and PA4495 promoter-lacZ fusions was upregulated in cells of a ΔsbrR mutant compared to the WT (Fig. 2A). Moreover, this upregulation could be complemented by ectopic synthesis of SbrR or SbrR-NTR from a plasmid and was dependent upon SbrI (Fig. 2A). Taken together, our findings suggest that transcription from the PmuiA, PPA4495, and PsbrI promoters is positively regulated by the ECF σ factor SbrI and inhibited by SbrI's cognate anti-σ factor, SbrR.
Microarray analyses revealed that several genes exhibited differential expression in ΔsbrR mutant cells relative to WT cells that did not respond to complementation with pPSV38-SbrR, suggesting SbrR may not control the expression of these genes (Table 1). Indeed, previous work in our laboratory may explain the differential regulation of three genes (PA1202, PA1203, and PA2432) that fit this profile. We have previously shown that expression of PA1202, PA1203, and PA2432 (bexR) is bistable and subject to the control of a bistable switch mediated by the transcription regulator BexR (48). Therefore, the differential expression of these genes may result from bistable BexR activity, rather than changes in expression attributable to SbrI activation. PA3876 (narK2) also exhibited higher expression levels in ΔsbrR mutant cells than in WT cells that were unaffected by complementation with pPSV38-SbrR (Table 1). The expression of narK2 was also elevated in ΔsbrIR double-mutant cells relative to the WT (Table 1), suggesting that the observed changes in narK2 expression are independent of SbrI.
Several genes were found to be downregulated in ΔsbrR mutant cells relative to the WT. In particular, the mmsAB operon was found to be downregulated roughly 9-fold in ΔsbrR mutant cells relative to the WT (Table 1). MmsA and MmsB are enzymes involved in valine metabolism (49). The mmsAB operon is positively regulated by the divergently transcribed AraC-like transcription regulator MmsR (49); however, no changes in mmsR expression were observed by DNA microarray. These findings suggest that although SbrR functions principally as a negative regulator of the muiA, PA4495, and sbrI genes, SbrR might also exert positive effects on the expression of some genes.
ΔsbrR mutants exhibit a severe swarming motility defect.
P. aeruginosa is capable of several types of motility, including twitching, swimming, and swarming. Twitching motility is a form of surface motility and is mediated by type IV pili (50). Swimming motility occurs in low-viscosity liquid environments and is a unicellular behavior dependent upon flagella and the chemotaxis system (13). Swarming is a form of cooperative multicellular motility that occurs on hydrated surfaces and in viscous liquid environments (13). In P. aeruginosa, swarming motility is dependent upon flagella and secreted surfactants, the production of which is controlled by quorum sensing (14, 15). On agar plates, WT P. aeruginosa colonies grown overnight expand their borders via surface motility (51). When we compared our WT and ΔsbrR mutant strains, we noticed colonies of ΔsbrR mutant cells were slightly smaller (data not shown), suggesting these cells might have a motility defect. To determine if SbrR influences motility, we compared twitching, swimming, and swarming motilities in WT and ΔsbrR mutants of P. aeruginosa strains PAO1 and PA14.
Compared to the WT, PAO1 ΔsbrR and PA14 ΔsbrR mutants exhibit reductions in twitching motility of 14% and 20%, respectively (Fig. 3A). These findings suggest that although ΔsbrR mutants have reduced twitching motility, cells of these mutants continue to produce functional type IV pili and engage in twitching motility.
FIG 3.
Swimming, twitching, and swarming motility of WT and ΔsbrR mutant strains. (A) Relative diameters of twitching motility zones for the indicated PAO1 and PA14 strains normalized to the WT for each strain. *, P = 0.02; **, P < 0.001. (B) Relative diameters of swimming motility zones of the indicated PAO1 and PA14 strains normalized to the WT for each strain. **, P < 0.001. (C) Relative swarming motilities of the indicated PA14 strains. The plates were photographed, and the area of motile cells was quantified with ImageJ. **, P < 0.001. (D) Representative image of PA14 swarming motility in WT and ΔsbrR strains. Significant differences between strains were determined by t test. The error bars represent 95% confidence intervals.
Next, we tested the swimming motility of our strains. PAO1 ΔflgK and PA14 ΔflgK mutants that do not produce flagella were unable to swim from the point of inoculation (data not shown). Compared to the WT, PAO1 and PA14 ΔsbrR mutants exhibited reductions in swimming motility of 12% and 19%, respectively (Fig. 3B). Thus, swimming motility is only slightly reduced in ΔsbrR mutant cells, suggesting that these mutant cells continue to engage in chemotaxis and continue to produce functional flagella. Fluorescent staining of WT PAO1 and PAO1 ΔsbrR revealed that both WT and mutant strains produce normal flagella (data not shown).
To test whether cells of our ΔsbrR mutant strains exhibited a swarming defect, we inoculated cells from overnight cultures onto plates containing a minimal medium solidified with 0.5% agar. WT PA14 is a robust swarmer, forming colonies with dendrites that extend radially from the point of inoculation in an irregular starburst (Fig. 3D). In contrast to our WT PA14 strain, cells of our WT PAO1 strain did not swarm appreciably under these conditions, precluding an analysis of swarming motility in this strain background (data not shown). When we examined our PA14 ΔsbrR mutant strain, we discovered it does not spread from the point of inoculation and is completely defective for swarming motility (Fig. 3C and D). This suggests that SbrR promotes swarming motility or that SbrR represses an inhibitor(s) of swarming motility.
The effect of SbrR on swarming motility is dependent upon SbrI and MuiA.
Given SbrR's role as an anti-σ factor, we reasoned that constitutive activation of SbrI might be responsible for the motility defect in ΔsbrR mutant cells. To determine if the swarming defect in PA14 ΔsbrR mutants was dependent upon sbrI, we constructed the double mutant PA14 ΔsbrIR. Swarming motility of cells of the PA14 ΔsbrIR strain was restored to WT levels (Fig. 4A), demonstrating that SbrI is necessary for swarming inhibition in PA14 ΔsbrR mutant cells.
FIG 4.
MuiA inhibits swarming motility and enhances biofilm formation. (A) Swarming motility inhibition in ΔsbrR mutants is dependent upon sbrI and muiA. Representative images of swarming plates are shown above the quantification of the area of each strain's swarm relative to WT PA14. (B) Swarming motility is inhibited by ectopic expression of muiA. Cells were grown in the presence of 0.1% arabinose to induce expression of muiA. (C) Enhanced biofilm formation in PA14 ΔsbrR mutants is dependent upon sbrI and muiA. (D) Ectopic expression of muiA results in enhanced biofilm formation. Cells were grown in the presence of 1% arabinose to induce expression of muiA. The error bars represent 95% confidence intervals.
Next, we reasoned that SbrI-dependent inhibition of swarming motility in PA14 ΔsbrR mutants was likely due to the constitutive expression of a gene(s) in the SbrI regulon. The three most highly upregulated genes in the cells of the ΔsbrR mutant in our microarrays were muiA, PA4495, and sbrI itself (Table 1). MuiA and PA4495 have not previously been implicated in swarming motility. However, ectopic expression of muiA has been shown to suppress alginate overproduction in mucoid strains that retain WT MucA (52). Neither MuiA nor PA4495 has any significant homology to any previously characterized proteins, but both proteins are predicted to contain N-terminal secretion signals and have been found experimentally in the periplasm (53). To test whether MuiA or PA4495 contributed to the inhibition of swarming motility exhibited by the ΔsbrR mutant strain, we generated PA14 ΔsbrR ΔmuiA double mutants and PA14 ΔsbrR ΔPA4495 double mutants. Unlike the cells of a ΔsbrR single mutant, cells of a ΔsbrR ΔmuiA mutant did not exhibit a swarming motility defect and instead resembled WT PA14 with respect to their ability to swarm (Fig. 4A). This finding indicates that MuiA is necessary for swarming inhibition in ΔsbrR mutant cells. The PA14 ΔsbrR ΔmuiA double-mutant strain could be complemented by ectopic expression of muiA, which restored swarming inhibition (Fig. 4B). In contrast, the PA14 ΔsbrR ΔPA4495 double-mutant strain exhibited a swarming motility defect similar to that of the PA14 ΔsbrR single mutant (see Fig. S2 in the supplemental material), suggesting PA4495 is not necessary for the inhibition of swarming motility in ΔsbrR mutant cells. Together, these results suggest that the inhibition of swarming motility in ΔsbrR mutant cells is the result of increased SbrI-dependent expression of MuiA.
Expression of muiA is sufficient for the inhibition of swarming motility.
In cells of the ΔsbrR mutant, the expression of muiA, PA4495, and sbrI is increased (Table 1) and swarming motility is inhibited (Fig. 4A and B). Moreover, MuiA is necessary for the inhibition of swarming motility in the ΔsbrR mutant strain (Fig. 4A). Therefore, we wondered whether ectopic expression of muiA would suffice to inhibit swarming motility or if MuiA-mediated inhibition of swarming motility in the ΔsbrR mutant strain required activation of the entire SbrI regulon. To test this, we transformed WT PA14 cells with the same muiA-expressing plasmid used to complement the PA14 ΔsbrR ΔmuiA double mutant (pHERD20T-MuiA) and an empty-vector control (pHERD20T). Swarming motility was inhibited to levels comparable to that of the ΔsbrR mutant strain in WT PA14 cells transformed with pMuiA (pHERD20T-MuiA) but not in WT PA14 cells transformed with the empty-vector control (pHERD20T) (Fig. 4B). Thus, ectopic expression of muiA is sufficient for the inhibition of swarming motility.
ΔsbrR mutant cells exhibit enhanced biofilm formation.
The surface-associated behaviors of swarming motility and biofilm formation are inversely coregulated in P. aeruginosa PA14 (9–12). That is, strains that exhibit increased swarming motility produce less biofilm, while strains that produce increased levels of biofilm exhibit reduced or inhibited swarming motility. Given this relationship, we next asked whether PA14 ΔsbrR mutant cells were altered with respect to their ability to form biofilms. Following 8 h of static growth, cells of the nonswarming PA14 ΔsbrR mutant strain formed ∼2-fold more biofilm than cells of the WT strain (Fig. 4C). This finding suggests that SbrR reduces biofilm formation or inhibits factors that facilitate biofilm formation.
The effect of SbrR on biofilm formation is dependent on SbrI and MuiA.
Next, we tested the PA14 ΔsbrIR double-mutant strain to determine if the increase in biofilm formation in the ΔsbrR mutant strain was SbrI dependent. PA14 ΔsbrIR formed biofilms at levels similar to that of the WT (Fig. 4C), suggesting that in addition to inhibiting swarming motility, increased expression of the SbrI regulon in the ΔSbrR mutant strain also promotes biofilm formation.
Our previous finding that the swarming motility defect of the ΔsbrR mutant strain was MuiA dependent led us to ask whether MuiA was also required for enhanced biofilm formation in the ΔsbrR strain. Cells of a PA14 ΔsbrR ΔmuiA mutant strain formed biofilms at levels similar to those of the WT (Fig. 4C), indicating MuiA is necessary for the enhanced biofilm formation observed in the ΔsbrR mutant strain. In addition, biofilm formation in PA14 ΔsbrR ΔmuiA mutants could be restored to ΔsbrR mutant levels by expressing muiA from a plasmid (Fig. 4D). These findings suggest that enhanced biofilm formation in the ΔsbrR mutant strain may be the result of increased SbrI-dependent expression of muiA. Lastly, while MuiA is required for increased biofilm formation in the ΔsbrR mutant strain, the PA14 ΔmuiA mutant strain formed biofilms at WT levels (Fig. 4C). This indicates MuiA is not required for biofilm formation in WT cells of P. aeruginosa PA14 under the conditions of our experiments.
Expression of muiA is sufficient to promote biofilm formation.
Ectopic expression of muiA in WT PA14 results in a swarming motility defect equivalent to that observed in cells of the ΔsbrR mutant strain (Fig. 4B), suggesting it is sufficient for the inhibition of swarming motility. In light of this observation and the inverse relationship between swarming motility and biofilm formation, we next asked whether ectopic expression of muiA was also sufficient to enhance biofilm formation. In WT PA14 cells transformed with a muiA expression construct but not those transformed with an empty vector, there is an increase in biofilm formation that is comparable to that seen in ΔsbrR mutants (Fig. 4D), demonstrating that ectopic expression of muiA is sufficient to promote biofilm formation. Taken together, our findings suggest that in ΔsbrR mutant cells, constitutive activation of SbrI results in high levels of muiA expression, which enhances biofilm formation via an unknown mechanism.
DISCUSSION
We have presented evidence that SbrI and SbrR constitute a σ factor and anti-σ factor pair, with the N-terminal portion of SbrR interacting directly with SbrI. Cells lacking SbrR are defective for swarming motility and exhibit enhanced biofilm formation as a result of the SbrI-dependent increase in muiA expression that occurs in these cells. SbrR and SbrI represent a novel set of regulators of swarming motility and biofilm formation in P. aeruginosa that mediate their effects through MuiA, a protein not previously known to influence either of these processes.
The SbrIR regulon.
Our transcription-profiling experiments identified a relatively small number of genes that appear to be negatively controlled by SbrR and that are expressed in an SbrI-dependent manner. In particular, the putative sbrIR operon, muiA, and PA4495 exhibited the largest changes in expression in cells of the ΔsbrR anti-σ factor mutant relative to the WT (Table 1). Using promoter-lacZ fusion reporter strains, we demonstrated that SbrR negatively regulates transcription from the promoters of these genes. We also showed that the increase in transcription that occurs from these promoters in the absence of SbrR is dependent upon SbrI. These findings support the idea that SbrR is an anti-σ factor specific for SbrI and are consistent with those of a previous study that reported PA2896 (SbrI)-dependent expression of muiA (PA1494) and PA4495 in response to the overexpression of the periplasmic protease ctpA (19).
By aligning the transcription start sites of sbrI, muiA, and PA4495 derived from transcriptome sequencing (RNA-seq) studies, Seo and Darwin identified putative −10 and −35 promoter elements with the sequence TAACCCG-N16-CGTCTCA-N6-A (+1) (19). Using the Find Individual Motif Occurrences (FIMO) program to search for this putative SbrI-dependent promoter sequence in the PAO1 and PA14 genomes revealed statistically significant matches to this consensus only in the promoters of sbrI, muiA, and PA4495 (false-discovery rate [q] ≤ 0.01) (data not shown). The sbrI, muiA, and PA4495 promoters may therefore be the only ones that are recognized directly by RNAP-containing SbrI. We note that the SbrIR regulon defined here is not unusually small for ECF σ factors, which frequently control the expression of relatively small sets of genes (20).
Taken together, our results suggest a model in which the anti-σ factor SbrR binds to SbrI and sequesters it at the membrane, preventing it from associating with RNAP (Fig. 5). In response to an unknown extracytoplasmic signal, SbrI is released from SbrR and associates with RNAP, resulting in expression of the SbrI regulon (Fig. 5). The SbrI regulon likely consists of the putative sbrIR operon, muiA, and PA4495. SbrI-dependent expression of SbrI results in a positive-feedback loop, amplifying the expression of the SbrI regulon. muiA and PA4495 are expressed at high levels and exported to the periplasm, leading to muiA-dependent inhibition of swarming motility and enhanced biofilm formation. Previous work has shown that the expression of sbrI, muiA, and PA4495 becomes elevated following osmotic shock (54), following treatment with the cell wall-inhibitory antibiotic d-cycloserine (55), and following ectopic expression of the periplasmic protease CtpA, which leads to disruption of the cell envelope (19). We suggest that cell envelope stress might be sensed by SbrR, leading to SbrI activation, expression of muiA, and transition from motile swarming cells to growth as a biofilm (Fig. 5). It is also possible that CtpA is capable of directly degrading SbrR, resulting in the activation of SbrI (19).
FIG 5.

Model of the SbrIR regulon. SbrR is an anti-σ factor that binds to SbrI and inhibits its activity. In response to an unknown signal, SbrI is released from SbrR, resulting in increased expression of the SbrI regulon. Increased expression of muiA results in the inhibition of swarming motility and enhanced biofilm formation. OM, outer membrane; IM, inner membrane.
SbrR and SbrI control swarming motility and biofilm formation in P. aeruginosa PA14 through MuiA.
The muiA gene was the most highly upregulated member of the SbrI regulon in ΔsbrR mutant cells relative to the WT (Table 1), and expression from the PmuiA promoter was shown to be SbrI dependent (Fig. 2A) (19). We have shown that increased SbrI-dependent expression of muiA in ΔsbrR mutant cells inhibits swarming motility and enhances biofilm formation and that ectopic expression of muiA in WT cells has the same effect.
Swarming motility in PA14 is dependent upon flagella and secreted surfactants (14, 15). As demonstrated by our swimming assays, PA14 ΔsbrR mutants are capable of chemotaxis and produce functional flagella (Fig. 3B). On the 0.5% agar plates used to observe swarming, surfactant production can be observed as an area of wetness surrounding surfactant-producing colonies (15, 16). We observed this region surrounding nonswarming PA14 ΔsbrR mutant colonies, suggesting the strain continues to produce surfactants (data not shown). These findings suggest the MuiA-dependent swarming motility defect in PA14 ΔsbrR cells is unlikely to be caused by a defect in either flagella or surfactant production.
MuiA has previously been shown to inhibit the mucoid phenotype of certain clinical isolates in which alginate is overproduced due to the presence of mutations that activate AlgW (52). However, we think it unlikely that MuiA inhibits swarming motility and promotes biofilm formation in PA14 through an inhibitory effect on alginate production. Indeed, MuiA does not appear to be a general inhibitor of alginate production, e.g., MuiA did not detectably influence the production of alginate in cells that produce truncated versions of MucA (52). Furthermore, alginate does not appear to be produced by WT PA14 during growth as a biofilm (56).
In addition to MuiA, several other systems have been shown to exert reciprocal control over swarming motility and biofilm formation in P. aeruginosa, including c-di-GMP and the GacS/GacA two-component system (9, 11, 12). We note that the abundance of the muiA and PA4495 transcripts is elevated in cells in which the GacS/GacA system is artificially activated through deletion of retS (9). The GacS/GacA system functions by activating the expression of genes encoding the small RNAs RsmY and RsmZ (57). These small RNAs in turn sequester the RNA-binding protein RsmA that binds many mRNAs directly to influence their translation or abundance (or both) (58). Neither sbrI nor sbrR transcript abundance was altered in cells of a retS mutant relative to the WT (9), suggesting that the muiA and PA4495 transcripts may be direct targets of RsmA. Future work will be aimed at identifying the mechanism by which MuiA represses swarming motility and enhances biofilm formation in P. aeruginosa PA14.
Connections to virulence.
A signature-tagged mutagenesis screen identified sbrR (PA2895) as a gene required during chronic respiratory infection in a rat lung model (18). Interestingly, a significant portion of the mutants identified in this screen exhibited impaired swarming motility, indicating that swarming motility is an important virulence determinant in this model of chronic respiratory infection (18). Although an sbrR (PA2895) mutant in P. aeruginosa strain PA103 was previously shown to be defective for protease secretion, we do not observe any protease secretion defect in cells of our PAO1 ΔsbrR or PA14 ΔsbrR mutant cells (data not shown). The results presented here suggest the virulence defect of sbrR mutants in the rat lung model of chronic respiratory infection could be explained in whole or in part by their swarming motility defect, or possibly through the misregulation of either swarming motility, biofilm formation, or both. Recent transposon-sequencing (Tn-Seq) analyses indicated that SbrI is required for colonization of the murine gastrointestinal (GI) tract in a neutropenic model of acute infection (59). SbrIR may therefore play important regulatory roles during both chronic and acute infections.
Supplementary Material
ACKNOWLEDGMENTS
We thank Heather McManus for constructing plasmid pP30ΔFRT-SbrI-VSV-G, Kirsty McFarland for help with microarray data analysis, and Roger Levesque and Ann Hochschild for discussions.
Funding Statement
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Footnotes
Supplemental material for this article may be found at http://dx.doi.org/10.1128/JB.00784-15.
REFERENCES
- 1.Govan JR, Deretic V. 1996. Microbial pathogenesis in cystic fibrosis: mucoid Pseudomonas aeruginosa and Burkholderia cepacia. Microbiol Rev 60:539–574. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Hidron AI, Edwards JR, Patel J, Horan TC, Sievert DM, Pollock DA, Fridkin SK, National Healthcare Safety Network Team Participating National Healthcare Safety Network Facilities. 2008. NHSN annual update: antimicrobial-resistant pathogens associated with healthcare-associated infections: annual summary of data reported to the National Healthcare Safety Network at the Centers for Disease Control and Prevention, 2006–2007. Infect Control Hosp Epidemiol 29:996–1011. doi: 10.1086/591861. [DOI] [PubMed] [Google Scholar]
- 3.Sievert DM, Ricks P, Edwards JR, Schneider A, Patel J, Srinivasan A, Kallen A, Limbago B, Fridkin S, for the National Healthcare Safety Network (NHSN) Team and Participating NHSN Facilities. 2013. Antimicrobial-resistant pathogens associated with healthcare-associated infections: summary of data reported to the National Healthcare Safety Network at the Centers for Disease Control and Prevention, 2009–2010. Infect Control Hosp Epidemiol 34:1–14. doi: 10.1086/668770. [DOI] [PubMed] [Google Scholar]
- 4.Williams BJ, Dehnbostel J, Blackwell TS. 2010. Pseudomonas aeruginosa: host defence in lung diseases. Respirology 15:1037–1056. doi: 10.1111/j.1440-1843.2010.01819.x. [DOI] [PubMed] [Google Scholar]
- 5.Hardalo C, Edberg SC. 1997. Pseudomonas aeruginosa: assessment of risk from drinking water. Crit Rev Microbiol 23:47–75. doi: 10.3109/10408419709115130. [DOI] [PubMed] [Google Scholar]
- 6.Donlan RM, Costerton JW. 2002. Biofilms: survival mechanisms of clinically relevant microorganisms. Clin Microbiol Rev 15:167–193. doi: 10.1128/CMR.15.2.167-193.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Singh PK, Schaefer AL, Parsek MR, Moninger TO, Welsh MJ, Greenberg EP. 2000. Quorum-sensing signals indicate that cystic fibrosis lungs are infected with bacterial biofilms. Nature 407:762–764. doi: 10.1038/35037627. [DOI] [PubMed] [Google Scholar]
- 8.Costerton JW, Stewart PS, Greenberg EP. 1999. Bacterial biofilms: a common cause of persistent infections. Science 284:1318–1322. doi: 10.1126/science.284.5418.1318. [DOI] [PubMed] [Google Scholar]
- 9.Goodman AL, Kulasekara B, Rietsch A, Boyd D, Smith RS, Lory S. 2004. A signaling network reciprocally regulates genes associated with acute infection and chronic persistence in Pseudomonas aeruginosa. Dev Cell 7:745–754. doi: 10.1016/j.devcel.2004.08.020. [DOI] [PubMed] [Google Scholar]
- 10.Caiazza NC, Merritt JH, Brothers KM, O'Toole GA. 2007. Inverse regulation of biofilm formation and swarming motility by Pseudomonas aeruginosa PA14. J Bacteriol 189:3603–3612. doi: 10.1128/JB.01685-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Kuchma SL, Brothers KM, Merritt JH, Liberati NT, Ausubel FM, O'Toole GA. 2007. BifA, a cyclic-di-GMP phosphodiesterase, inversely regulates biofilm formation and swarming motility by Pseudomonas aeruginosa PA14. J Bacteriol 189:8165–8178. doi: 10.1128/JB.00586-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Merritt JH, Brothers KM, Kuchma SL, O'Toole GA. 2007. SadC reciprocally influences biofilm formation and swarming motility via modulation of exopolysaccharide production and flagellar function. J Bacteriol 189:8154–8164. doi: 10.1128/JB.00585-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Kearns DB. 2010. A field guide to bacterial swarming motility. Nat Rev Microbiol 8:634–644. doi: 10.1038/nrmicro2405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Köhler T, Curty LK, Barja F, Van Delden C, Pechère JC. 2000. Swarming of Pseudomonas aeruginosa is dependent on cell-to-cell signaling and requires flagella and pili. J Bacteriol 182:5990–5996. doi: 10.1128/JB.182.21.5990-5996.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Rashid MH, Kornberg A. 2000. Inorganic polyphosphate is needed for swimming, swarming, and twitching motilities of Pseudomonas aeruginosa. Proc Natl Acad Sci U S A 97:4885–4890. doi: 10.1073/pnas.060030097. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Caiazza NC, Shanks RMQ, O'Toole GA. 2005. Rhamnolipids modulate swarming motility patterns of Pseudomonas aeruginosa. J Bacteriol 187:7351–7361. doi: 10.1128/JB.187.21.7351-7361.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Overhage J, Bains M, Brazas MD, Hancock REW. 2008. Swarming of Pseudomonas aeruginosa is a complex adaptation leading to increased production of virulence factors and antibiotic resistance. J Bacteriol 190:2671–2679. doi: 10.1128/JB.01659-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Potvin E, Lehoux DE, Kukavica-Ibrulj I, Richard KL, Sanschagrin F, Lau GW, Levesque RC. 2003. In vivo functional genomics of Pseudomonas aeruginosa for high-throughput screening of new virulence factors and antibacterial targets. Environ Microbiol 5:1294–1308. doi: 10.1046/j.1462-2920.2003.00542.x. [DOI] [PubMed] [Google Scholar]
- 19.Seo J, Darwin AJ. 2013. The Pseudomonas aeruginosa periplasmic protease CtpA can affect systems that impact its ability to mount both acute and chronic infections. Infect Immun 81:4561–4570. doi: 10.1128/IAI.01035-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Helmann JD. 2002. The extracytoplasmic function (ECF) sigma factors. Adv Microb Physiol 46:47–110. doi: 10.1016/S0065-2911(02)46002-X. [DOI] [PubMed] [Google Scholar]
- 21.Llamas MA, Imperi F, Visca P, Lamont IL. 2014. Cell-surface signaling in Pseudomonas: stress responses, iron transport, and pathogenicity. FEMS Microbiol Rev 38:569–597. doi: 10.1111/1574-6976.12078. [DOI] [PubMed] [Google Scholar]
- 22.Vallet-Gely I, Donovan KE, Fang R, Joung JK, Dove SL. 2005. Repression of phase-variable cup gene expression by H-NS-like proteins in Pseudomonas aeruginosa. Proc Natl Acad Sci U S A 102:11082–11087. doi: 10.1073/pnas.0502663102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Castang S, McManus HR, Turner KH, Dove SL. 2008. H-NS family members function coordinately in an opportunistic pathogen. Proc Natl Acad Sci U S A 105:18947–18952. doi: 10.1073/pnas.0808215105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Goldman SR, Sharp JS, Vvedenskaya IO, Livny J, Dove SL, Nickels BE. 2011. NanoRNAs prime transcription initiation in vivo. Mol Cell 42:817–825. doi: 10.1016/j.molcel.2011.06.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Dove SL, Joung JK, Hochschild A. 1997. Activation of prokaryotic transcription through arbitrary protein-protein contacts. Nature 386:627–630. doi: 10.1038/386627a0. [DOI] [PubMed] [Google Scholar]
- 26.Dove SL, Hochschild A. 2004. A bacterial two-hybrid system based on transcription activation. Methods Mol Biol 261:231–246. [DOI] [PubMed] [Google Scholar]
- 27.Winsor GL, Lam DKW, Fleming L, Lo R, Whiteside MD, Yu NY, Hancock REW, Brinkman FSL. 2011. Pseudomonas Genome Database: improved comparative analysis and population genomics capability for Pseudomonas genomes. Nucleic Acids Res 39:D596–D600. doi: 10.1093/nar/gkq869. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Hoang TT, Kutchma AJ, Becher A, Schweizer HP. 2000. Integration-proficient plasmids for Pseudomonas aeruginosa: site-specific integration and use for engineering of reporter and expression strains. Plasmid 43:59–72. doi: 10.1006/plas.1999.1441. [DOI] [PubMed] [Google Scholar]
- 29.Rietsch A, Vallet-Gely I, Dove SL, Mekalanos JJ. 2005. ExsE, a secreted regulator of type III secretion genes in Pseudomonas aeruginosa. Proc Natl Acad Sci U S A 102:8006–8011. doi: 10.1073/pnas.0503005102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Hoang TT, Karkhoff-Schweizer RR, Kutchma AJ, Schweizer HP. 1998. A broad-host-range Flp-FRT recombination system for site-specific excision of chromosomally-located DNA sequences: application for isolation of unmarked Pseudomonas aeruginosa mutants. Gene 212:77–86. doi: 10.1016/S0378-1119(98)00130-9. [DOI] [PubMed] [Google Scholar]
- 31.Vvedenskaya IO, Sharp JS, Goldman SR, Kanabar PN, Livny J, Dove SL, Nickels BE. 2012. Growth phase-dependent control of transcription start site selection and gene expression by nanoRNAs. Genes Dev 26:1498–1507. doi: 10.1101/gad.192732.112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Qiu D, Damron FH, Mima T, Schweizer HP, Yu HD. 2008. PBAD-based shuttle vectors for functional analysis of toxic and highly regulated genes in Pseudomonas and Burkholderia spp. and other bacteria. Appl Environ Microbiol 74:7422–7426. doi: 10.1128/AEM.01369-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Vallet-Gely I, Sharp JS, Dove SL. 2007. Local and global regulators linking anaerobiosis to cupA fimbrial gene expression in Pseudomonas aeruginosa. J Bacteriol 189:8667–8676. doi: 10.1128/JB.01344-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Ha D-G, Kuchma SL, O'Toole GA. 2014. Plate-based assay for swarming motility in Pseudomonas aeruginosa. Methods Mol Biol 1149:67–72. doi: 10.1007/978-1-4939-0473-0_8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Ha D-G, Kuchma SL, O'Toole GA. 2014. Plate-based assay for swimming motility in Pseudomonas aeruginosa. Methods Mol Biol 1149:59–65. doi: 10.1007/978-1-4939-0473-0_7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Castang S, Dove SL. 2012. Basis for the essentiality of H-NS family members in Pseudomonas aeruginosa. J Bacteriol 194:5101–5109. doi: 10.1128/JB.00932-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.O'Toole GA, Kolter R. 1998. Flagellar and twitching motility are necessary for Pseudomonas aeruginosa biofilm development. Mol Microbiol 30:295–304. doi: 10.1046/j.1365-2958.1998.01062.x. [DOI] [PubMed] [Google Scholar]
- 38.Edgar R, Domrachev M, Lash AE. 2002. Gene Expression Omnibus: NCBI gene expression and hybridization array data repository. Nucleic Acids Res 30:207–210. doi: 10.1093/nar/30.1.207. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Mahren S, Braun V. 2003. The FecI extracytoplasmic-function sigma factor of Escherichia coli interacts with the beta′ subunit of RNA polymerase. J Bacteriol 185:1796–1802. doi: 10.1128/JB.185.6.1796-1802.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Mettrick KA, Lamont IL. 2009. Different roles for anti-sigma factors in siderophore signalling pathways of Pseudomonas aeruginosa. Mol Microbiol 74:1257–1271. doi: 10.1111/j.1365-2958.2009.06932.x. [DOI] [PubMed] [Google Scholar]
- 41.Spencer MR, Beare PA, Lamont IL. 2008. Role of cell surface signaling in proteolysis of an alternative sigma factor in Pseudomonas aeruginosa. J Bacteriol 190:4865–4869. doi: 10.1128/JB.01998-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.De Las Peñas A, Connolly L, Gross CA. 1997. The sigmaE-mediated response to extracytoplasmic stress in Escherichia coli is transduced by RseA and RseB, two negative regulators of sigmaE. Mol Microbiol 24:373–385. doi: 10.1046/j.1365-2958.1997.3611718.x. [DOI] [PubMed] [Google Scholar]
- 43.Missiakas D, Mayer MP, Lemaire M, Georgopoulos C, Raina S. 1997. Modulation of the Escherichia coli sigmaE (RpoE) heat-shock transcription-factor activity by the RseA, RseB and RseC proteins. Mol Microbiol 24:355–371. doi: 10.1046/j.1365-2958.1997.3601713.x. [DOI] [PubMed] [Google Scholar]
- 44.Campbell EA, Tupy JL, Gruber TM, Wang S, Sharp MM, Gross CA, Darst SA. 2003. Crystal structure of Escherichia coli sigmaE with the cytoplasmic domain of its anti-sigma RseA. Mol Cell 11:1067–1078. doi: 10.1016/S1097-2765(03)00148-5. [DOI] [PubMed] [Google Scholar]
- 45.Helmann JD. 1999. Anti-sigma factors. Curr Opin Microbiol 2:135–141. doi: 10.1016/S1369-5274(99)80024-1. [DOI] [PubMed] [Google Scholar]
- 46.Hughes KT, Gillen KL, Semon MJ, Karlinsey JE. 1993. Sensing structural intermediates in bacterial flagellar assembly by export of a negative regulator. Science 262:1277–1280. doi: 10.1126/science.8235660. [DOI] [PubMed] [Google Scholar]
- 47.Dove SL, Hochschild A. 1998. Conversion of the omega subunit of Escherichia coli RNA polymerase into a transcriptional activator or an activation target. Genes Dev 12:745–754. doi: 10.1101/gad.12.5.745. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Turner KH, Vallet-Gely I, Dove SL. 2009. Epigenetic control of virulence gene expression in Pseudomonas aeruginosa by a LysR-type transcription regulator. PLoS Genet 5:e1000779. doi: 10.1371/journal.pgen.1000779. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Steele MI, Lorenz D, Hatter K, Park A, Sokatch JR. 1992. Characterization of the mmsAB operon of Pseudomonas aeruginosa PAO encoding methylmalonate-semialdehyde dehydrogenase and 3-hydroxyisobutyrate dehydrogenase. J Biol Chem 267:13585–13592. [PubMed] [Google Scholar]
- 50.Mattick JS. 2002. Type IV pili and twitching motility. Annu Rev Microbiol 56:289–314. doi: 10.1146/annurev.micro.56.012302.160938. [DOI] [PubMed] [Google Scholar]
- 51.Semmler AB, Whitchurch CB, Mattick JS. 1999. A re-examination of twitching motility in Pseudomonas aeruginosa. Microbiology 145:2863–2873. doi: 10.1099/00221287-145-10-2863. [DOI] [PubMed] [Google Scholar]
- 52.Withers TR, Yin Y, Yu HD. 2014. Identification and characterization of a novel inhibitor of alginate overproduction in Pseudomonas aeruginosa. Pathog Dis 70:185–188. doi: 10.1111/2049-632X.12102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Imperi F, Ciccosanti F, Perdomo AB, Tiburzi F, Mancone C, Alonzi T, Ascenzi P, Piacentini M, Visca P, Fimia GM. 2009. Analysis of the periplasmic proteome of Pseudomonas aeruginosa, a metabolically versatile opportunistic pathogen. Proteomics 9:1901–1915. doi: 10.1002/pmic.200800618. [DOI] [PubMed] [Google Scholar]
- 54.Aspedon A, Palmer K, Whiteley M. 2006. Microarray analysis of the osmotic stress response in Pseudomonas aeruginosa. J Bacteriol 188:2721–2725. doi: 10.1128/JB.188.7.2721-2725.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Wood LF, Leech AJ, Ohman DE. 2006. Cell wall-inhibitory antibiotics activate the alginate biosynthesis operon in Pseudomonas aeruginosa: roles of sigma22 (AlgT) and the AlgW and Prc proteases. Mol Microbiol 62:412–426. doi: 10.1111/j.1365-2958.2006.05390.x. [DOI] [PubMed] [Google Scholar]
- 56.Wozniak DJ, Wyckoff TJO, Starkey M, Keyser R, Azadi P, O'Toole GA, Parsek MR. 2003. Alginate is not a significant component of the extracellular polysaccharide matrix of PA14 and PAO1 Pseudomonas aeruginosa biofilms. Proc Natl Acad Sci U S A 100:7907–7912. doi: 10.1073/pnas.1231792100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Brencic A, McFarland KA, McManus HR, Castang S, Mogno I, Dove SL, Lory S. 2009. The GacS/GacA signal transduction system of Pseudomonas aeruginosa acts exclusively through its control over the transcription of the RsmY and RsmZ regulatory small RNAs. Mol Microbiol 73:434–445. doi: 10.1111/j.1365-2958.2009.06782.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Brencic A, Lory S. 2009. Determination of the regulon and identification of novel mRNA targets of Pseudomonas aeruginosa RsmA. Mol Microbiol 72:612–632. doi: 10.1111/j.1365-2958.2009.06670.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Skurnik D, Roux D, Aschard H, Cattoir V, Yoder-Himes D, Lory S, Pier GB. 2013. A comprehensive analysis of in vitro and in vivo genetic fitness of Pseudomonas aeruginosa using high-throughput sequencing of transposon libraries. PLoS Pathog 9:e1003582. doi: 10.1371/journal.ppat.1003582. [DOI] [PMC free article] [PubMed] [Google Scholar]
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