ABSTRACT
Multidrug resistance (MDR) efflux pumps are involved in bacterial intrinsic resistance to multiple antimicrobials. Expression of MDR efflux pumps can be either constitutive or transiently induced by various environmental signals, which are typically perceived by bacterial two-component systems (TCSs) and relayed to the bacterial nucleoid, where gene expression is modulated for niche adaptation. Here, we demonstrate that RstA/RstB, a TCS previously shown to control acid-induced and biofilm-related genes in Escherichia coli, confers resistance to multiple antibiotics in Pseudomonas fluorescens by directly regulating the MDR efflux pumps EmhABC and MexCD-OprJ. Moreover, we show that phosphorylation of the conserved Asp52 residue in RstA greatly enhances RstA-DNA interaction, and regulation of the multidrug resistance by RstA/RstB is dependent on the phosphorylation of the RstA Asp52 residue by RstB. Proteome analysis reveals RstA/RstB also positively regulates the efflux pump MexEF-OprN and enzymes involved in anaerobic nitrate respiration and pyoverdine biosynthesis. Our results suggest that, by coupling the expression of multiple efflux pumps and anaerobic nitrate respiration, RstA/RstB could play a role in defense against nitrosative stress caused by anaerobic nitrate respiration.
IMPORTANCE Microenvironmental hypoxia typically increases bacterial multidrug resistance by elevating expression of multidrug efflux pumps, but the precise mechanism is currently not well understood. Here, we showed that the two-component system RstA/RstB not only positively regulated expression of several efflux pumps involved in multidrug resistance, but also promoted expression of enzymes involved in anaerobic nitrate respiration and pyoverdine biosynthesis. These results suggested that, by upregulating expression of efflux pumps and pyoverdine biosynthesis-related enzymes, RstA/RstB could play a role in promoting bacterial tolerance to hypoxia by providing protection against nitrosative stress.
KEYWORDS: two-component system, efflux pumps, multidrug resistance, Pseudomonas fluorescens
INTRODUCTION
Rapidly sensing and responding to environmental stimuli is essential for bacteria to survive in constantly changing environments. Two-component systems (TCSs), which are ubiquitously distributed in prokaryotic genomes, play a pivotal role in bacterial sensing and responding to changes in their environment (1). A TCS comprises a sensor kinase and a response regulator, which are usually encoded adjacently in genomes (2, 3). A typical sensor kinase is composed of an N-terminal sensor domain facing the extracellular or periplasmic space and a C-terminal histidine kinase domain located in the cytosol (4). These two domains are connected by a transmembrane region which differs considerably in various TCSs (4). When exposed to environmental stimuli, the sensor domain undergoes drastic conformational changes, which are transmitted to the cytosolic histidine kinase domain through the transmembrane region, leading to auto-phosphorylation of a conserved C-terminal histidine residue in trans (5, 6). The phosphoryl group of the histidine residue is then transferred to a conserved aspartate residue of the responsive regulator, leading to its activation and transcription of downstream genes involved in diverse physiological processes such as chemotactic behavior, osmotic regulation, and virulence (7).
The prevalence of antibiotic-resistance in human pathogens has posed a great challenge to the treatment of bacterial infections (8, 9). Bacteria not only can be intrinsically resistant to certain antibiotics, but also acquire antibiotic resistance via mutations or horizontal gene transfers of antibiotic resistance genes (10). Three major mechanisms are responsible for antibiotic resistance: modification of drug targets, inactivation of antibiotics, and minimization of the intracellular drug concentrations (11). By extruding intracellular antibiotics as well as a wide range of other toxic compounds including heavy metals, solvents, and detergents, the transmembrane efflux pumps play an important role in antibiotic resistance (8, 12). Since aberrant expression of efflux pumps is generally associated with a fitness cost (13), their expressions must be tightly regulated in certain bacterial species, in which efflux pumps were found to be integrated in the complex regulatory networks of TCSs. For instance, Kunihiko et al. reported that over-expression of the responsive regulator component EvgA of the TCS EvgA/EvgS activates the EmrKY efflux pump and accounts for deoxycholate resistance in Escherichia coli (14). In Salmonella, the TCS BaeS/BaeR was demonstrated to regulate MdtABC and AcrD efflux pumps, which are related with the resistance to novobiocin and β-lactams antibiotics (15). Most recently, a number of other TCSs including AdeS/AdeR (16), CzcR/CzcS (17), AmgR/AmgS (18), and ParS/ParR (19) were found to be involved in regulating efflux pumps of antibiotics, highlighting the important role of TCSs in antibiotic resistance.
Pseudomonas fluorescens is a widely distributed environmental microbe which produces a variety of antibiotics through secondary metabolism to antagonize other competing bacteria and fungi. It also includes virulent strains involved in opportunistic infections (20–23). As P. fluorescens can be resistant to a wide spectrum of antibiotics (24), it is therefore urgent to better understand the multidrug-resistance mechanism of P. fluorescens. In P. fluorescens 2P24, the RND (resistance-nodulation-cell division) superfamily efflux pump EmhABC is characterized to be a key determinant to the resistance toward multiple antibiotics including ampicillin, chloramphenicol, and tetracycline (25, 26). However, it is still elusive if there are any other efflux pumps responsible for the multidrug resistance and how these efflux pumps are regulated in P. fluorescens. In this work, we demonstrate that RstA/RstB, a TCS previously shown to control acid-induced and biofilm-related genes in E. coli (27), confers resistance to multiple antibiotics in P. fluorescens by directly regulating the MDR efflux pumps EmhABC and MexCD-OprJ. Phosphorylation of the conserved Asp52 residue of RstA by RstB was shown be essential for the regulation function of RstA/RstB. Based on proteome analysis, we identify that RstA/RstB also positively regulated the efflux pump MexEF-OprN and enzymes involved in anaerobic nitrate respiration and pyoverdine biosynthesis, and propose a role for RstA/RstB in the cellular defense against nitrosative stress.
RESULTS
Cofitness analysis in P. fluorescens revealed a RstA/RstB-like TCS potentially involved in antibiotic resistance.
The similarity of fitness under different growth conditions between any two different deletion strains has been defined as the cofitness (28), and two genes that have a high cofitness value tend to share similar biological functions. High-throughput data sets of microbial fitness had been proved to be informative in predicting gene functions and recently genome-wide mutant fitness data from 32 diverse bacteria across a set of growth conditions were available from http://fit.genomics.lbl.gov/, prompting us to seek the possible genes related to antibiotic resistance. In P. fluorescens, the protein products encoded by the emhABC operon were characterized to constitute an efflux pump playing a critical role in antibiotic resistance (25), we therefore reasoned that the strain lacking the resistance related genes should have high cofitness values with strains lacking the EmhABC efflux pump. Using the cofitness browser database, we analyzed the cofitness data of the mutant strains of P. fluorescens FW300-N2E2 with deletion of the genes Pf6N2E2_2823, Pf6N2E2_2824, and Pf6N2E2_2825, which are orthologues of emhA, emhB and emhC, respectively (∼98% sequence identity). Interestingly, two mutant strains with deletion of either Pf6N2E2_463 or Pf6N2E2_464 showed high cofitness values with above-mentioned three mutant strains (Fig. 1A), suggesting these two genes are likely to be related to antibiotic resistance. The genes Pf6N2E2_463 and Pf6N2E2_464, respectively, encode a responsive regulator and sensor kinase of a TCS, which shares moderate sequence identities with the well-characterized RstA/RstB TCS (sequence identity 43%/35%) from E. coli. We next analyzed the cofitness data of ΔPf6N2E2_463 and found that three more mutant strains devoid of genes encoding other efflux pumps (Pf6N2E2_1660, Pf6N2E2_1661, Pf6N2E2_3484) have high cofitness values with the ΔPf6N2E2_463 strain (Fig. 1B). The genes Pf6N2E2_1660 and Pf6N2E2_1661 are orthologues of the components of the MexCD efflux pump from Pseudomonas aeruginosa while Pf6N2E2_3484 encodes a putative dipeptide transporter sharing 39% sequence identity with the bicyclomycin resistance protein Bcr in E. coli. Taken together, the cofitness analysis suggests that the RstA/RstB-like TCS (Pf6N2E2_463 and Pf6N2E2_464) are likely to be involved in antibiotic resistance by regulating multiple efflux pumps including the EmhABC (Pf6N2E2_2823, Pf6N2E2_2824, and Pf6N2E2_2825), MexCD (Pf6N2E2_1660, Pf6N2E2_1661), and Bcr-like (Pf6N2E2_3484) pumps in P. fluorescens.
The TCS RstA/RstB and MexCD-OprJ efflux pump contribute to antibiotic resistance in P. fluorescens 2P24.
To validate the potential antibiotic resistance related genes identified by cofitness analysis, we found the corresponding orthologues of these genes in the genome of P. fluorescens 2P24 (Table S3), constructed the single deletion mutants and measured the MICs of these mutants. PFLP_02434 and PFLP_02435 in P. fluorescens 2P24 correspond to Pf6N2E2_463 and Pf6N2E2_464, respectively, and were named rstA/rstB as they encode proteins with the highest BLASTP score (43.85%/34.69% identity) with E. coli RstA/RstB proteins among the ORFs of P. fluorescens 2P24. Deletion of either of these two genes leads to increased susceptibility to multiple antibiotics including ampicillin, gentamicin, chloramphenicol, kanamycin, lomefloxacin, and tetracycline (Table 1). The mexC (PFLP_03468) deletion mutant, along with the emhABC deletion mutant, also showed decreased resistance to multiple drugs, yet with a slightly different antibiotic spectrum, suggesting different substrate specificities for these two efflux systems. The mutant devoid of the MFS transporter PFLP_00760, a homologous protein of Bcr, did not show significantly altered susceptibility to all the tested antibiotics (Table 1). Collectively, we identified the TCS RstA/RstB and the MexCD-OprJ efflux pump are involved in antibiotic resistance of P. fluorescens 2P24.
TABLE 1.
Strain | MIC (μg/mL)a |
|||||
---|---|---|---|---|---|---|
Amp | Chl | Kan | Tet | Gen | Lmf | |
Wild-type | 512 | 128 | 4 | 8 | 2 | 0.5 |
ΔrstA | 256 | 32 | 1 | 4 | <0.25 | <0.25 |
ΔemhABC | 8 | 32 | 1 | 1 | 0.5 | <0.125 |
ΔmexC | 512 | 32 | 0.5 | 4 | 1 | <0.25 |
Δbcr | 512 | 64 | 4 | 16 | 4 | 1 |
ΔrstB-SD | 256 | 128 | 2 | 4 | 1 | 0.5 |
ΔrstB-KD | 256 | 32 | 2 | 4 | 0.5 | <0.25 |
rstAD52A | 512 | 16 | 2 | 4 | 0.5 | <0.25 |
rstAD52E | 256 | 16 | 0.5 | 2 | <0.25 | <0.25 |
Amp, ampicillin; Chl, chloramphenicol; Kan, kanamycin; Tet, tetracycline; Lmf, lomefloxacin.
RstA positively regulates the expression of emhABC and mexCD-OprJ.
Given that the TCS RstA/RstB was shown to be related to antibiotic resistance, we asked whether the RstA regulator controls the expression of the multidrug efflux pumps EmhABC and MexCD-OprJ. Using the lacZ reporter fusion of the emhA promoter, we showed that expression of the emhABC operon was significantly decreased in the rstA deletion strain (ΔrstA) compared with that of the wild-type strain (Fig. 2A). Consistently, qRT-PCR assay revealed that deletion of rstA led to more than a 3-fold decrease of the emhA and emhC transcription levels (Fig. 2B). Moreover, by using qRT-PCR, we found that the ΔrstA strain showed a 10-fold decrease in mexC transcription level compared with the wildtype strain (Fig. 2B). Taken together, our results demonstrated that the responsive regulator RstA activates the expression of efflux pumps EmhABC and MexCD-OprJ in P. fluorescens strain 2P24.
RstA binds to the promoter of emhABC and mexCD-OprJ in a phosphorylation dependent manner.
Given the regulatory role of RstA on EmhABC and MexCD-OprJ, we asked whether the RstA protein could directly interact with the promoter regions of the emhABC and mexCD-OprJ operons. The 265-bp upstream sequence of emhA was amplified and it was shown by using the electrophoretic mobility shift assays (EMSAs) that this DNA sequence weakly interact with RstA fused with an N-terminal maltose binding protein tag (MBP-RstA). As the DNA-binding ability of responsive regulators is generally dependent on phosphorylation of a conserved Asp residue, we performed an in vitro phosphorylation assay in which the MBP-RstA protein was incubated with acetyl phosphate, a high-energy phosphoryl-donor known to phosphorylate the conserved Asp residues in responsive regulators (29). Notably, the phosphorylated MBP-RstA (MBP-RstAP) interacted with the upstream sequence of emhA in a concentration dependent manner as shown by the EMSA (Fig. 3A). Moreover, phosphorylation of the MBP-RstA protein by acetyl phosphate also significantly enhanced its binding affinity toward the 101-bp upstream region of mexCD-OprJ (Fig. 3B). The appearance of two shifted bands for the mexC promoter suggested the presence of two RstA-binding sites, one with high binding affinity and another with low binding affinity. We also showed that MBP did not interact with the DNA probes used in the EMSAs (Fig. S1), excluding the possibility that MBP could interfere with the DNA-binding assays of RstA.
Although we attempted to use LC-MS/MS to pinpoint the phosphorylation sites of the MBP-RstA protein upon treatment by acetyl phosphate, however, no phosphorylated Asp residues were detected (data not shown). This is most likely due to the labile nature of phosphorylated Asp, which has an extremely short half-life and was notoriously difficult to capture. We next performed a multiple sequence alignment and identified that the Asp52 residue of RstA was strictly conserved among responsive regulators from various bacterial species (Fig. S2). The corresponding Asp residues in responsive regulators, such as CusR from E. coli (30), AlgR (31) and CpxR (32) from P. aeruginosa, have been reported to receive the phosphor-group from their cognate sensor kinases. To confirm if the 52 Asp residue of RstA is essential for the DNA-binding capacity, we purified the MBP-fused D52A mutant protein of RstA (MBP-RstAD52A) and tested its DNA-binding capacity. It was revealed that, compared with its wild-type counterpart, MBP-RstAD52A had significantly compromised DNA-binding affinities toward the upstream sequences of emhABC and mexCD-oprJ regardless of the acetyl phosphate treatment (Fig. 3C and D). These results suggest the 52 Asp residue of RstA is likely to be the phosphorylation site that modulate the RstA-DNA interactions.
Phosphorylation of the Asp52 residue of RstA by the RstB kinase contributes to the antibiotic resistance of P. fluorescens 2P24.
To investigate whether phosphorylation of RstA contributes to the antibiotic resistance of P. fluorescens 2P24, we constructed the mutant strain bearing the rstAD52A single site mutation and tested its antibiotic resistance. Like the ΔrstA strain, this rstAD52A mutant strain showed increased susceptibility to several antibiotics including chloramphenicol (8 folds), gentamicin (4 folds), kanamycin (2 folds), and lomefloxacin (>2 folds) (Table 1). Moreover, deletion of the rstB-kinase domain (ΔrstB-KD) also led to increased antibiotic susceptibility. Consistently, the expression levels of emhA, emhC, and mexC were significantly decreased in the rstAD52A, rstAD52E, and ΔrstA mutant strains compared with the wild-type strain (Fig. 4). It is interesting to note that emhAC expression is even less in the rstAD52A strain than in the rstA deletion strain, suggesting that rstA may regulate some unknown factors that influence emhAC expression in a phosphorylation independent manner.
Interestingly, deletion of the sensor domain of rstB (ΔrstB-SD) had little effect on the antibiotic resistance (Table 1), implying either the intracellular kinase domain of RstB could be activated through cross-regulation by other TCSs or the ligands recognized by the sensor domain of RstB were absent in the culture medium. Taken together, our data indicates that phosphorylation of the Asp52 site of RstA by the sensor kinase RstB plays an important role in regulating antibiotic resistance.
The responsive regulator RstA influences multiple physiological processes including nitrate respiration, pyoverdine biosynthesis, and drug efflux.
In order to characterize the potential regulons of RstA in P. fluorescens 2P24, we performed label-free quantitative proteomics profiling of the wild-type and ΔrstA mutant strains. In total 2,354 proteins were identified with 1% false discovery rate (FDR), and hierarchical clustering using z-scored intensities of the 275 proteins quantified with high confidence (P value < 0.05) showed that four replicates of the samples of P. fluorescens and its derivatives ΔrstA were correctly clustered together (Fig. S3). Student's t test was used to screen differential expression proteins (DEPS) with fold change greater than 1.5 and P value less than 0.05 was used as thresholds, resulting in 33 upregulated proteins and 153 downregulated proteins (Fig. 5A). Gene ontology (GO) enrichment analysis revealed these DEPs were involved in many biological processes, especially antibiotic biosynthetic process, arginine metabolic process, and stress responses (Fig. 5B). To further study the biological pathways modulated by RstA, the interaction networks of downregulated proteins were created using the STRING database, showing that the downregulated proteins mainly participate in biological processes of pyoverdine biosynthesis and iron transport, nitrogen metabolism, bacterial chemotaxis, arginine metabolism, and efflux activities (Fig. 5C). Notably, several proteins including NarG1, NarG2, NarH, NarI, NarJ, NarU, NirE, NirF, NirG, and NirN involved in nitrate or nitrite reductase systems were markedly decreased in the ΔrstA strain (Fig. 5A). Moreover, proteins involved in pyoverdine biosynthesis including PvdA, PvdD, PvdE, PvdH, PvdL, PvdM, PvdO, PvdJ1, and PvdJ2 (33) were also significantly downregulated in the ΔrstA strain. The proteomic data also indicated that, in addition to the MexCD efflux pump, MexEF-OprN, an efflux pump that can extrude a variety of antibiotics as well as quorum sensing signals (34), was decreased in the ΔrstA strain. Collectively, our proteomic analysis demonstrated that the responsive regulator RstA not only activates the expression of several efflux pumps, but influences nitrate respiration and pyoverdine biosynthesis as well.
DISCUSSION
Multidrug efflux pumps play an essential role in bacterial antibiotic resistance in both clinical and environmental settings (35, 36). The RND superfamily of efflux pumps, which are specific to Gram-negative bacteria and always form a tripartite complex spanning across the inner and outer membranes, are implicated in multidrug resistance in many bacterial species including the prominent human pathogens P. aeruginosa, E. coli, and Salmonella (37). In P. aeruginosa, there are several encoded RND-type efflux systems, four of which, i.e., MexAB-OprM, MexCD-OprJ, MexEF-OprN, and MexXY-OprM are characterized to be the significant determinants of multidrug resistance. Complex regulatory networks including multiple transcription regulators (MexR, MexT, NalC, NalD, NfxB, etc.) are involved in tight control of the expression levels of these efflux pumps. Disruption of the regulatory network that leads to upregulation of the efflux pumps have been commonly found in clinical isolates exhibiting the MDR phenotype. Being a close relative of P. aeruginosa, P. fluorescens produces a variety of antimicrobials and at the same time intrinsically resistant to multiple antibiotics, yet questions remain how the antibiotic resistance in P. fluorescens is regulated. Our work demonstrated that the TCS RstA/RstB contributes to antibiotic resistance of P. fluorescens by activating expression of the EmhABC and MexCD-OprJ efflux pumps, highlighting the important roles of certain TCSs in modulating intrinsic antibiotic resistance. In E. coli and Salmonella, RstA was reported to regulate genes related to biofilm formation and iron acquisition (27, 38), and the classic RstA binding motif (TACAN6TACA) was not found in the promoter regions of major antibiotic efflux pumps in these bacterial species (39). These results suggest an evolutionarily divergent role of RstA/RstB in regulating RND efflux pump expression among different bacterial species.
As bacteria are constantly exposed to different levels of antibiotics or toxic compounds, it is unsurprising that expression of efflux pumps could be integrated into the TCS regulatory network, which could transiently upregulate the efflux pumps in response to certain effectors or environmental stimuli. When a sensor kinase detects a specific signal, it usually undergoes auto-phosphorylation and subsequently transfer the phosphate group to its cognate responsive regulator, enabling genome-scale transcriptional activation by the responsive regulator (4). Consistently, we found that deletion of the cytosolic kinase domain of RstB leads to antibiotics susceptibility, confirming the essential role of the RstB kinase domain in activating the RstA responsive regulator. Sequence analysis indicates that RstA belongs to the OmpR/PhoB protein family, which comprises approximately 40% of all response regulators. Notably, the conserved D52 residue was pinpointed as the phosphorylation site modulating the DNA binding affinity of RstA and mutation of this aspartate into Ala leads to the decreased antibiotic resistance of P. fluorescens, highlighting that phosphorylation of D52 acts as a molecular switch governing the activity of RstA. It was previously shown that for the OmpR/PhoB family responsive regulators such as DrrB, DrrD (40), and MtrA (41), phosphorylation of the conserved aspartate residue promotes dimerization and brings the DNA-binding domains into proximity, resulting in the enhanced DNA-binding affinity. Collectively, our data support that a conserved phosphorylation-dependent regulation mechanism is shared among the responsive regulators of the OmpR/PhoB family.
What kind of signals the sensor domain of RstB detects is currently unknown. Interestingly, deletion of the RstB sensor domain barely affects the antibiotic resistance of P. fluorescens, suggesting that the histidine kinase domain of RstB could either be phosphorylated by other sensor kinases or undergo basal auto-phosphorylation without any extracellular signal input. By using the three-dimensional structure prediction server Phyre we found that the RstB extracellular domain is predicted to share a similar structural fold with the NarQ extracellular domain (42), despite the low sequence identity (∼23%). NarQ, together with NarX, are known to be sensor kinases that respond to nitrate and nitrite to regulate enzymes involved in anaerobic respiration and fermentation (43, 44). Moreover, our proteomic data clearly demonstrated that the responsive regulator RstA positively regulates the enzymes involved in anaerobic nitrate respiratory chain (NarG, NarH, NarI, NarJ, NarK) (45, 46) and arginine deiminase pathway (ArcA, ArcB, ArcC, ArcD) (47), which are typical regulons of NarQ. All these pieces of evidence direct to a possible role in sensing nitrate/nitrite/their analogues and regulating anaerobic nitrate respiration and arginine fermentation for the TCS RstA/RstB.
Several Pseudomonas species including P. fluorescens can perform denitrification under anaerobic conditions, using nitrate instead of oxygen as a terminal electron acceptor (48). This process, also known as anaerobic nitrate respiration, generally results in the formation of NO and/or other reactive nitrogen species which exert nitrosative stress on the cells (49). Therefore, the sensing of such compounds as well as the induction of nitrosative stress defense against proteins appears to be vital for cell proliferation. The multidrug efflux pump MdtEF-TolC in E. coli (50) and MexEF-OprN in P. aeruginosa (51) had been shown to be induced in response to nitrosative stress and protect against nitrosative damage by extruding the nitrosyl-damaged cellular components. Genes involved in the production of pyoverdine were also implied in resistance to nitrosative stress (52). It is therefore likely that RstA/RstB can function as a sensor for nitrosative stress, and upregulates expression of efflux pumps and pyoverdine biosynthesis-related enzymes to protect against nitrosative stress (Fig. 6). On the other hand, overexpression of efflux pumps leads to enhanced consumption of oxygen, causing microenvironmental hypoxia, which in turn promotes anaerobic nitrate respiratory in P. aeruginosa (13). It should be interesting to investigate how the TCS RstA/RstB could be involved in mediating the interplay between expression of efflux pumps, biosynthesis of pyoverdine and anaerobic nitrate respiration in the future.
MATERIALS AND METHODS
Bioinformatics analysis.
The homozygous cofitness data of Pf6N2E2_2823, Pf6N2E2_2824, Pf6N2E2_2825, Pf6N2E2_463, Pf6N2E2_464, Pf6N2E2_1660, Pf6N2E2_1661, and Pf6N2E2_3484 deletion strains were acquired from the online Cofitness Browser Database (http://fit.genomics.lbl.gov/). The sequence alignment was performed using the Basic Local Alignment Search Tool of the NCBI website and the Multalin page (http://multalin.toulouse.inra.fr/multalin/).
Bacterial strains, plasmids, and culture conditions.
The bacterial strains and plasmids are listed in Table S1. E. coli strains were grown at 37°C in Luria-Bertani (LB) broth. P. fluorescens 2P24 was grown at 28°C in King’s B (KB) medium (31). Ampicillin and kanamycin was used at a concentration of 50 μg/ml.
Deletion of gene loci in P. fluorescens 2P24.
The in-frame deletion mutants were constructed via double-crossover homologous recombination with the suicide plasmid pK18Km as reported previously (26). For each gene, both flank regions (longer than 1Kb) including 100 bp in-frame were PCR-amplified, respectively, and linked together using overlap PCR. The linked fragment, cloned into pK18mobsacB, was transported into P. fluorescens 2P24 by conjugating with the E. coli strain WM3064 to replace the target gene locus. In brief, after transformed with the suicide plasmid, the WM3064 and the wild-type P. fluorescens 2P24 strains were mixed in the same dilution rates and plated on a KB agar plate for 6 h to 8 h. Following scraping little bacterial plaque in the double-stress (ampicillin, kanamycin) KB medium, proper dilutions were plated on a double-stress KB agar plate and single crossover strains were validated and cultured in the KB medium for 8 h. Under a 10% sucrose (wt/vol%) stress, mutant strains were confirmed by PCR amplification after the second crossover.
MIC.
The MIC values were identified via a serial dilution method using 96-well cell culture plates which contained graded concentrations (0.25–512 μg/ml) of each antibiotic. Strains of log phase (OD600 = 0.8) were diluted to a final concentration of 105/ml with KB broth and inoculated to each well. After incubated at 28°C for 20 h, the MIC readings of the wells were detected by a microplate reader at a wavelength of 600 nm (Absorbance Reader ELx808, BioTek) (53).
Construction of LacZ fusion reporter plasmid and β-galactosidase assays.
We used a kanamycin resistance plasmid pRG970Km to construct lacZ fusions as previously reported (54). Purified 270 bp DNA fragments of the upstream sequence of emhABC and the plasmids were digested by BamHI and CAIP, after which the fragment was cloned ahead of a promoter-less lacZ gene. The plasmid transformation was performed via conjugating between a donor strain (E. coli WM3064) and a recipient strain (P. fluorescens 2P24) as mentioned above. As reported by Miller before (55), the LacZ expression levels were measured by β-galactosidase assays. Bacterial cultures were grown at 28°C in KB medium to the OD600 of 0.5 and the o-nitrophenol (Sigma-Aldrich, St. Louis, MO, USA) coloration, evaluated by absorbances of OD550, OD420, and OD650, was recorded to measure the activity of β-galactosidase (DU530 UV/Vis spectrophotometer, Beckman Coulter, CA, USA). All samples were tested in three duplicates and assays were performed at least three times.
Quantitative real-time PCR assay.
Overnight cultured bacterial cells were diluted (1:50) in fresh KB medium and grown to the OD600 of 0.25, then 4 ml cultures were harvested by centrifugation at 4°C. After total RNA extraction (Iso plus, TaKaRa, Dalian, China) and cDNA preparation (PrimeScript RT reagent kit with gDNA Eraser, TaKaRa, Dalian, China), qRT-PCR were performed using the SYBR Premix Ex Taq (TaKaRa, Dalian, China) and CFX96 real-time PCR detection system (Bio-Rad, Hercules, CA, USA), all according to the manufacturer’s instruction. PCRs were set up using equivalent amounts of cDNA derived from the same amount of input RNA. The concentrations of all nucleic acid samples were measured using a NanoDrop 2000 spectrophotometer (Thermo Fisher Scientific, Inc., USA) and the 260/280 ratio of samples is limited between 1.8 and 2.0. At least three biological replicates were performed. As described previously, 2-ΔCt method was used to analyze relative expression levels of target genes and the expression level of 16S in each individual sample was measured as the internal control. The equation used in our study is
where is the threshold cycle for target amplification and is the threshold cycle for reference (16S) amplification.
Protein expression and purification.
The RstA gene was amplified and cloned into pMAL-c2X expression vector containing an additional maltose-binding protein (MBP) tag. The RstA bearing D52A mutation expression plasmid was obtained via overlap PCR. All these recombinant plasmids and the untreated pMAL-c2X were transformed to E. coli BL21(DE3) cells, which were developed in LB medium at 37°C supplemented with 50 μg/ml ampicillin. The protein expression was induced by 0.2 mM IPTG when OD600 reached 0.6 and cultured at 16°C for another 20 h. After harvested by centrifugation at 5,000 g for 10 min, the cells were resuspended in a column binding buffer containing 20 mM Tris–HCl at pH 8.0, 200 mM NaCl, 1 mM EDTA, 1 mM DTT, and lysed by sonication. The debris was removed via centrifugation at 12,000 g for 30 min and subsequently the supernatant was loaded onto an amylose resin affinity column (New England Biolabs, Inc., USA) for purification of the MBP protein or the MBP-tagged proteins, which were eluted by the binding buffer supplemented with 10 mM maltose. The purified proteins, MBP-RstA, MBP-D52A, and MBP, were concentrated and stored at –80°C for further usage.
Protein phosphorylation in vitro.
The proteins were phosphorylated in vitro as a standard reaction reported before (56). In brief, the protein was diluted into the buffer containing 100 mM Tris-HCl (pH 7.4), 10 mM MgCl2, 125 mM KCl, and 50 mM acetyl phosphate (lithium potassium acetyl phosphate, sigma) with a final concentration of 100 μg/ml and incubated for a further 1 h at 30°C. Then the buffer was replaced with 20 mM Tris-HCl (pH 7.4) by a centrifugal filter (Amicon Ultra-0.5 Centrifugal Filter Unit with Ultracel-3 membrane, Millipore). As for control groups, the protein was processed with the same method except acetyl phosphate was removed from the dilution buffer.
Electrophoretic mobility shift assay and DNase I footprinting assay.
Promoters of emhA and emhC, designated as FAM-emhA and FAM-mexC, were amplified and purified for EMSA and DNase I footprinting assays. For EMSAs, 50 ng of purified promoters were incubated with different amounts of proteins for 30 min at room temperature. In a total volume of 20 μl, the reaction mixture contained 50 mM Tris-HCl at pH 7.5, 10 mM MgCl2, 10% (vol/vol) glycerol, 0.5 mM EDTA, 50 mM KCl, and 3 μM bovine serum albumin (BSA) to prevent unspecific binding (54). Separated by 6% native PAGE, electrophoretic bands were detected by a UVP BioSpectrum Imaging system (UVP, CA, USA). For DNase I footprinting assays, 3 pmol DNA was incubated with different concentrations of proteins for 30 min at room temperature as well, followed by digestion with DNase I (Promega) for 2.5 min at 30°C. The reactions were quenched by adding the stop-buffer consisting of 0.15% SDS, 200 mM sodium acetate, and 30 mM EDTA, and then further incubated in a water bath at 70°C for 30 min. The digestion production was extracted with isopropanol/chloroform and precipitated with ethanol and the pellets were dissolved in 30 μl Milli-Q water.
Sample preparation and LC-MS/MS analysis.
All proteomics samples were prepared using the modified protocol which had been reported by Matthias Mann et al. (57). Briefly, bacterial cells of the wild-type, ΔrstA, and rstAD52A strains from early stationary phase (OD600 = 0.8) were collected and resuspended in 6 M Urea, 100 mM DTT, and 100 mM Tris-HCl (pH 7.0), and proteins were digested with trypsin overnight. The total peptide was desalted with C18-column and dissolved into 0.1% formic acid (FA) at a final concentration of 100 ng/μl. For MS analysis, 1 μg peptide of each sample was subjected to nanoflow liquid chromatography-tandem mass spectrometry analysis on an Orbitrap Fusion Lumos mass spectrometer (Thermo Scientific) coupled online to an EASY-nLC 1200 system in the data-dependent mode. Using a 150 mm × 75 μm C18 column with 2 μm particles, peptides were separated on a 90-min nonlinear gradient: 5%–35% buffer B for 60 min, 35%–80% buffer B for 20 min, and 100% buffer B for 10 min (buffer A: 0.1% FA; buffer B: 80% acetonitrile, 0.1% FA) at 300 nL/min constant flow rate. Source voltage and current were set to 2.5 KV and 100 A, respectively. All MS measurements were performed in the positive ion mode and acquired across the mass range of 300–1,800 m/z. Raw mass spectrometry files were analyzed by ProteinDiscovery (version 2.3) (58) and MS/MS spectra was searched against the full protein sequences of P. fluorescens 2P24 with the fixed modification of cysteine carbamidomethylation, and variable modification methionine oxidation configured. Other parameters were set up using the default values and the false discovery rate (FDR) was set to 0.01 for both peptide and protein identifications. Further bioinformatics and statistical analyses were performed using the software Perseus (59).
Data availability.
The MS raw files and proteome sequences of P. fluorescens 2P24 have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the data set identifier PXD018793 (60).
ACKNOWLEDGMENT
We thank the mass spectrometry facility at School of Life Sciences of Lanzhou University for support in proteomics data acquisition.
This work was supported by the grants from the National Natural Science Foundation of China (Grant Nos. 31971422, 31970103, and 31770535), Key Research and Development Plan Project of Anhui Province (Grant No. 202004a06020035), and the grant from the State Key Laboratory of Veterinary Etiological Biology (Grant No. SKLVEB2020KFKT013).
Contributor Information
Zhiping Wang, Email: erywzp@lzu.edu.cn.
Yong-Xing He, Email: heyx@lzu.edu.cn.
Zackery Bulman, University of Illinois at Chicago.
REFERENCES
- 1.Tiwari S, Jamal SB, Hassan SS, Carvalho PVSD, Almeida S, Barh D, Ghosh P, Silva A, Castro TLP, Azevedo V. 2017. Two-component signal transduction systems of pathogenic bacteria as targets for antimicrobial therapy: An overview. Front Microbiol 8:1878. doi: 10.3389/fmicb.2017.01878. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Linsky M, Vitkin Y, Segal G. 2020. A novel Legionella genomic island encodes a copper-responsive regulatory system and a single Icm/Dot effector protein transcriptionally activated by copper. mBio 11:e03232-19. doi: 10.1128/mBio.03232-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Capra EJ, Laub MT. 2012. Evolution of two-component signal transduction systems. Annu Rev Microbiol 66:325–347. doi: 10.1146/annurev-micro-092611-150039. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Stock AM, Robinson A VL, Goudreau PN. 2000. Two-component signal transduction. Annu Rev Biochem 69:183–215. doi: 10.1146/annurev.biochem.69.1.183. [DOI] [PubMed] [Google Scholar]
- 5.Jacob-Dubuisson F, Mechaly A, Betton JM, Antoine R. 2018. Structural insights into the signalling mechanisms of two-component systems. Nat Rev Microbiol 16:585–593. doi: 10.1038/s41579-018-0055-7. [DOI] [PubMed] [Google Scholar]
- 6.Mitrophanov AY, Groisman EA. 2008. Signal integration in bacterial two-component regulatory systems. Genes Dev 22:2601–2611. doi: 10.1101/gad.1700308. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Tierney AR, Rather PN. 2019. Roles of two-component regulatory systems in antibiotic resistance. Future Microbiol 14:533–552. doi: 10.2217/fmb-2019-0002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Langton KP, Henderson PJF, Herbert RB. 2005. Antibiotic resistance: multidrug efflux proteins, a common transport mechanism? Nat Prod Rep 22:439–451. doi: 10.1039/b413734p. [DOI] [PubMed] [Google Scholar]
- 9.Brown ED, Wright GD. 2016. Antibacterial drug discovery in the resistance era. Nature 529:336–343. doi: 10.1038/nature17042. [DOI] [PubMed] [Google Scholar]
- 10.MacLean RC, San Millan A. 2019. The evolution of antibiotic resistance. Science 365:1082–1083. doi: 10.1126/science.aax3879. [DOI] [PubMed] [Google Scholar]
- 11.Blair JMA, Webber MA, Baylay AJ, Ogbolu DO, Piddock LJV. 2015. Molecular mechanisms of antibiotic resistance. Nat Rev Microbiol 13:42–51. doi: 10.1038/nrmicro3380. [DOI] [PubMed] [Google Scholar]
- 12.Martinez JL, Sánchez MB, Martínez-Solano L, Hernandez A, Garmendia L, Fajardo A, Alvarez-Ortega C. 2009. Functional role of bacterial multidrug efflux pumps in microbial natural ecosystems. FEMS Microbiol Rev 33:430–449. doi: 10.1111/j.1574-6976.2008.00157.x. [DOI] [PubMed] [Google Scholar]
- 13.Olivares Pacheco J, Alvarez-Ortega C, Alcalde Rico M, Martínez JL. 2017. Metabolic compensation of fitness costs is a general outcome for antibiotic-resistant Pseudomonas aeruginosa mutants overexpressing efflux pumps. mBio 8:e00500-17. doi: 10.1128/mBio.00500-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Nishino K, Yamaguchi A. 2001. Overexpression of the response regulator evgA of the two-component signal transduction system modulates multidrug resistance conferred by multidrug resistance transporters. J Bacteriol 183:1455–1458. doi: 10.1128/JB.183.4.1455-1458.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Nishino K, Nikaido E, Yamaguchi A. 2007. Regulation of multidrug efflux systems involved in multidrug and metal resistance of Salmonella enterica serovar Typhimurium. J Bacteriol 189:9066–9075. doi: 10.1128/JB.01045-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Marchand I, Damier-Piolle L, Courvalin P, Lambert T. 2004. Expression of the RND-type efflux pump AdeABC in Acinetobacter baumannii is regulated by the AdeRS two-component system. Antimicrob Agents Chemother 48:3298–3304. doi: 10.1128/AAC.48.9.3298-3304.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Perron K, Caille O, Rossier C, van Delden C, Dumas J-L, Köhler T. 2004. CzcR-CzcS, a two-component system involved in heavy metal and carbapenem resistance in Pseudomonas aeruginosa. J Biol Chem 279:8761–8768. doi: 10.1074/jbc.M312080200. [DOI] [PubMed] [Google Scholar]
- 18.Fruci M, Poole K. 2018. Aminoglycoside-inducible expression of the mexAB-oprM multidrug efflux operon in Pseudomonas aeruginosa: Involvement of the envelope stress-responsive AmgRS two-component system. PLoS One 13:e0205036. doi: 10.1371/journal.pone.0205036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Muller C, Plésiat P, Jeannot K. 2011. A two-component regulatory system interconnects resistance to polymyxins, aminoglycosides, fluoroquinolones, and β-lactams in Pseudomonas aeruginosa. Antimicrob Agents Chemother 55:1211–1221. doi: 10.1128/AAC.01252-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Scales BS, Erb-Downward JR, Huffnagle IM, LiPuma JJ, Huffnagle GB. 2015. Comparative genomics of pseudomonas fluorescens subclade III strains from human lungs. BMC Genomics 16:1032. doi: 10.1186/s12864-015-2261-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Liu X, Xiang L, Yin Y, Li H, Ma D, Qu Y. 2021. Pneumonia caused by Pseudomonas fluorescens: a case report. BMC Pulm Med 21:212. doi: 10.1186/s12890-021-01573-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Pappas G, Karavasilis V, Christou L, Tsianos EV. 2006. Pseudomonas fluorescens infections in clinical practice. Scand J Infect Dis 38:68–70. doi: 10.1080/00365540500264043. [DOI] [PubMed] [Google Scholar]
- 23.Thangkhiew I. 1986. Successful treatment with ceftazidime of a Pseudomonas fluorescens chest infection in a myasthenic patient. J Antimicrob Chemother 18:428–429. doi: 10.1093/jac/18.3.428. [DOI] [PubMed] [Google Scholar]
- 24.Trivedi MKPS, Shettigar H, Gangwar M, Jana S. 2015. Antimicrobial sensitivity pattern of Pseudomonas fluorescens after biofield treatment. Infectious Diseases and Therapy 3:22. doi: 10.4172/2332-0877.1000222. [DOI] [Google Scholar]
- 25.Tian T, Wu X-G, Duan H-M, Zhang L-Q. 2010. The resistance-nodulation-division efflux pump EmhABC influences the production of 2,4-diacetylphloroglucinol in Pseudomonas fluorescens 2P24. Microbiology (Reading) 156:39–48. doi: 10.1099/mic.0.031161-0. [DOI] [PubMed] [Google Scholar]
- 26.Han J-T, Li D-Y, Zhang M-Y, Yu X-Q, Jia X-X, Xu H, Yan X, Jia W-J, Niu S, Kempher ML, Tao X, He Y-X. 2021. EmhR is an indole-sensing transcriptional regulator responsible for the indole-induced antibiotic tolerance in Pseudomonas fluorescens. Environ Microbiol 23:2054–2069. doi: 10.1111/1462-2920.15354. [DOI] [PubMed] [Google Scholar]
- 27.Huang L, Xu W, Su Y, Zhao L, Yan Q. 2018. Regulatory role of the RstB-RstA system in adhesion, biofilm production, motility, and hemolysis. Microbiologyopen 7:e00599. doi: 10.1002/mbo3.599. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Price MN, Wetmore KM, Waters RJ, Callaghan M, Ray J, Kuehl JV, Melnyk RA, Lamson JS, Suh Y, Esquivel Z, Sadeeshkumar H, Chakraborty R, Rubin BE, Bristow J, Blow MJ, Arkin AP, Deutschbauer AM. 2016. Deep annotation of protein function across diverse bacteria from mutant phenotypes. bioRxiv doi: 10.1101/072470:072470. [DOI]
- 29.Li Y-C, Chang C-k, Chang C-F, Cheng Y-H, Fang P-J, Yu T, Chen S-C, Li Y-C, Hsiao C-D, Huang T-h. 2014. Structural dynamics of the two-component response regulator RstA in recognition of promoter DNA element. Nucleic Acids Res 42:8777–8788. doi: 10.1093/nar/gku572. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Affandi T, McEvoy MM. 2019. Mechanism of metal ion-induced activation of a two-component sensor kinase. Biochem J 476:115–135. doi: 10.1042/BCJ20180577. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Whitchurch CB, Erova TE, Emery JA, Sargent JL, Harris JM, Semmler ABT, Young MD, Mattick JS, Wozniak DJ. 2002. Phosphorylation of the Pseudomonas aeruginosa response regulator AlgR is essential for Type IV fimbria-mediated twitching motility. J Bacteriol 184:4544–4554. doi: 10.1128/JB.184.16.4544-4554.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Tian Z-X, Yi X-X, Cho A, O'Gara F, Wang Y-P. 2016. CpxR activates MexAB-OprM efflux pump expression and enhances antibiotic resistance in both laboratory and clinical nalB-type isolates of Pseudomonas aeruginosa. PLoS Pathog 12:e1005932. doi: 10.1371/journal.ppat.1005932. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Ringel MT, Brüser T. 2018. The biosynthesis of pyoverdines. Microb Cell 5:424–437. doi: 10.15698/mic2018.10.649. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Lamarche MG, Déziel E. 2011. MexEF-OprN efflux pump exports the pseudomonas quinolone signal (PQS) precursor HHQ (4-hydroxy-2-heptylquinoline). PLoS One 6:e24310. doi: 10.1371/journal.pone.0024310. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Piddock LJV. 2006. Clinically relevant chromosomally encoded multidrug resistance efflux pumps in bacteria. Clin Microbiol Rev 19:382–402. doi: 10.1128/CMR.19.2.382-402.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Horcajada JP, Montero M, Oliver A, Sorlí L, Luque S, Gómez-Zorrilla S, Benito N, Grau S. 2019. Epidemiology and treatment of multidrug-resistant and extensively drug-resistant pseudomonas aeruginosa infections. Clin Microbiol Rev 32:e00031-19. doi: 10.1128/CMR.00031-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Trastoy R, Manso T, Fernández-García L, Blasco L, Ambroa A, Pérez Del Molino ML, Bou G, García-Contreras R, Wood TK, Tomás M. 2018. Mechanisms of bacterial tolerance and persistence in the gastrointestinal and respiratory environments. Clin Microbiol Rev 31. doi: 10.1128/CMR.00023-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Jeon J, Kim H, Yun J, Ryu S, Groisman EA, Shin D. 2008. RstA-promoted expression of the ferrous iron transporter FeoB under iron-replete conditions enhances fur activity in Salmonella enterica. J Bacteriol 190:7326–7334. doi: 10.1128/JB.00903-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Ogasawara H, Hasegawa A, Kanda E, Miki T, Yamamoto K, Ishihama A. 2007. Genomic SELEX search for target promoters under the control of the PhoQP-RstBA signal relay cascade. J Bacteriol 189:4791–4799. doi: 10.1128/JB.00319-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Robinson VL, Wu T, Stock AM. 2003. Structural analysis of the domain interface in DrrB, a response regulator of the OmpR/PhoB subfamily. J Bacteriol 185:4186–4194. doi: 10.1128/JB.185.14.4186-4194.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Fol M, Chauhan A, Nair NK, Maloney E, Moomey M, Jagannath C, Madiraju MVVS, Rajagopalan M. 2006. Modulation of mycobacterium tuberculosis proliferation by MtrA, an essential two-component response regulator. Mol Microbiol 60:643–657. doi: 10.1111/j.1365-2958.2006.05137.x. [DOI] [PubMed] [Google Scholar]
- 42.Gushchin I, Melnikov I, Polovinkin V, Ishchenko A, Yuzhakova A, Buslaev P, Bourenkov G, Grudinin S, Round E, Balandin T, Borshchevskiy V, Willbold D, Leonard G, Büldt G, Popov A, Gordeliy V. 2017. Mechanism of transmembrane signaling by sensor histidine kinases. Science 356:eaah6345. doi: 10.1126/science.aah6345. [DOI] [PubMed] [Google Scholar]
- 43.Stewart V. 1993. Nitrate regulation of anaerobic respiratory gene expression in Escherichia coli. Mol Microbiol 9:425–434. doi: 10.1111/j.1365-2958.1993.tb01704.x. [DOI] [PubMed] [Google Scholar]
- 44.Noriega CE, Lin H-Y, Chen L-L, Williams SB, Stewart V. 2010. Asymmetric cross-regulation between the nitrate-responsive NarX–NarL and NarQ–NarP two-component regulatory systems from Escherichia coli K-12. Mol Microbiol 75:394–412. doi: 10.1111/j.1365-2958.2009.06987.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Philippot L, Mirleau P, Mazurier S, Siblot S, Hartmann A, Lemanceau P, Germon JC. 2001. Characterization and transcriptional analysis of pseudomonas fluorescens denitrifying clusters containing the nar, nir, nor and nos genes. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression 1517:436–440. doi: 10.1016/S0167-4781(00)00286-4. [DOI] [PubMed] [Google Scholar]
- 46.Noriega CE, Schmidt R, Gray MJ, Chen L-L, Stewart V. 2008. Autophosphorylation and dephosphorylation by soluble forms of the nitrate-responsive sensors NarX and NarQ from Escherichia coli K-12. J Bacteriol 190:3869–3876. doi: 10.1128/JB.00092-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Maghnouj A, de Sousa Cabral TF, Stalon V, Vander Wauven C. 1998. The arcABDC gene cluster, encoding the arginine deiminase pathway of Bacillus licheniformis, and its activation by the arginine repressor argR. J Bacteriol 180:6468–6475. doi: 10.1128/JB.180.24.6468-6475.1998. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Muriel C, Jalvo B, Redondo-Nieto M, Rivilla R, Martín M. 2015. Chemotactic motility of Pseudomonas fluorescens F113 under aerobic and denitrification conditions. PLoS One 10:e0132242. doi: 10.1371/journal.pone.0132242. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Hausladen A, Gow AJ, Stamler JS. 1998. Nitrosative stress: metabolic pathway involving the flavohemoglobin. Proc Natl Acad Sci USA 95:14100–14105. doi: 10.1073/pnas.95.24.14100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Zhang Y, Xiao M, Horiyama T, Zhang Y, Li X, Nishino K, Yan A. 2011. The multidrug efflux pump MdtEF protects against nitrosative damage during the anaerobic respiration in Escherichia coli. J Biol Chem 286:26576–26584. doi: 10.1074/jbc.M111.243261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Fetar H, Gilmour C, Klinoski R, Daigle DM, Dean CR, Poole K. 2011. mexEF-oprN multidrug efflux operon of Pseudomonas aeruginosa: regulation by the MexT activator in response to nitrosative stress and chloramphenicol. Antimicrob Agents Chemother 55:508–514. doi: 10.1128/AAC.00830-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Firoved AM, Wood SR, Ornatowski W, Deretic V, Timmins GS. 2004. Microarray analysis and functional characterization of the nitrosative stress response in nonmucoid and mucoid Pseudomonas aeruginosa. J Bacteriol 186:4046–4050. doi: 10.1128/JB.186.12.4046-4050.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Schwalbe R, Steele-Moore L, Goodwin AC. 2007. Antimicrobial susceptibility testing protocols. CRC Press, Boca Raton, FL. [Google Scholar]
- 54.Yan X, Yang R, Zhao R-X, Han J-T, Jia W-J, Li D-Y, Wang Y, Zhang N, Wu Y, Zhang L-Q, He Y-X. 2017. Transcriptional regulator PhlH modulates 2,4-diacetylphloroglucinol biosynthesis in response to the biosynthetic intermediate and end product. Appl Environ Microbiol 83:e01419–17. doi: 10.1128/AEM.01419-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Miller JH. 1972. Experiments in molecular genetics. Cold Spring Harbor Laboratory Press, Cold Spring Harbor, NY. [Google Scholar]
- 56.Pogliano J, Lynch AS, Belin D, Lin EC, Beckwith J. 1997. Regulation of Escherichia coli cell envelope proteins involved in protein folding and degradation by the Cpx two-component system. Genes Dev 11:1169–1182. doi: 10.1101/gad.11.9.1169. [DOI] [PubMed] [Google Scholar]
- 57.Kulak NA, Pichler G, Paron I, Nagaraj N, Mann M. 2014. Minimal, encapsulated proteomic-sample processing applied to copy-number estimation in eukaryotic cells. Nat Methods 11:319–324. doi: 10.1038/nmeth.2834. [DOI] [PubMed] [Google Scholar]
- 58.Carvalho PC, Fischer JSG, Chen EI, Yates JR, Barbosa VC. 2008. PatternLab for proteomics: a tool for differential shotgun proteomics. BMC Bioinformatics 9:316. doi: 10.1186/1471-2105-9-316. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Cox J, Mann M. 2012. 1D and 2D annotation enrichment: a statistical method integrating quantitative proteomics with complementary high-throughput data. BMC Bioinformatics 13 Suppl 16:S12. doi: 10.1186/1471-2105-13-S16-S12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Vizcaíno JA, Csordas A, del-Toro N, Dianes JA, Griss J, Lavidas I, Mayer G, Perez-Riverol Y, Reisinger F, Ternent T, Xu QW, Wang R, Hermjakob H. 2016. 2016 update of the PRIDE database and its related tools. Nucleic Acids Res 44:D447–56. doi: 10.1093/nar/gkv1145. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The MS raw files and proteome sequences of P. fluorescens 2P24 have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the data set identifier PXD018793 (60).