ORIGINAL RESEARCH article

Front. Microbiol., 26 May 2020

Sec. Infectious Agents and Disease

Volume 11 - 2020 | https://doi.org/10.3389/fmicb.2020.00865

Staphylococcus aureus PhoU Homologs Regulate Persister Formation and Virulence

  • 1. Key Laboratory of Medical Molecular Virology of MOE and MOH, Department of Medical Microbiology and Parasitology, School of Basic Medical Sciences, Fudan University, Shanghai, China

  • 2. Department of Infectious Diseases and Shenzhen Key Lab for Endogenous Infection, Union Shenzhen Hospital, Huazhong University of Science and Technology, Shenzhen, China

  • 3. Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States

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Abstract

PhoU homologs are one of the determinant factors in the regulation of persister formation and phosphate metabolism in many bacterial species; however, the functions of PhoU homologs exhibit species-specific characteristics. The pathogenesis of Staphylococcus aureus is closely correlated with persister formation and virulence factors. The functions of two PhoU homologs, PhoU1 and PhoU2, in S. aureus are unclear yet. In this study, single- and double-deletion mutants of phoU1 and phoU2 were generated in strain USA500 2395. The ΔphoU1 or ΔphoU2 mutants displayed a change in persister formation and virulence compared to the parent strain; the persisters to vancomycin and levofloxacin were decreased at least 1,000-fold, and the number of intracellular bacteria surviving in the A549 cells for 24 h decreased to 82 or 85%. The α-hemolysin expression and activity were increased in the ΔphoU2 mutants. Transcriptome analysis revealed that 573 or 285 genes were differentially expressed by at least 2.0-fold in the ΔphoU1 or ΔphoU2 mutant vs. the wild type. Genes involved in carbon and pyruvate metabolism were up-regulated, and virulence genes and virulence regulatory genes were down-regulated, including type VII secretion system, serine protease, leukocidin, global regulator (sarA, rot), and the two-component signal transduction system (saeS). Correspondingly, the deletion of the phoU1 or phoU2 resulted in increased levels of intracellular pyruvate and ATP. Deletion of the phoU2, but not the phoU1, resulted in the up-regulation of inorganic phosphate transport genes and increased levels of intracellular inorganic polyphosphate. In conclusion, both PhoU1 and PhoU2 in S. aureus regulate virulence by the down-regulation of multiple virulence factors (type VII secretion system, serine protease, and leucocidin) and the persister generation by hyperactive carbon metabolism accompanied by increasing intracellular ATP. The results in S. aureus are different from what we have previously found in Staphylococcus epidermis, where only PhoU2 regulates biofilm and persister formation. The different functions of PhoU homologs between the two species of Staphylococcus warrant further investigation.

Introduction

Staphylococcus aureus is a human pathogen that colonizes human skin and mucous membranes (Otto, 2010; Tong et al., 2015). It can invade phagocytic, epithelial, or endothelial cells and allows for the formation of persisters that can cause chronic and recurrent infections (Conlon, 2014). Moreover, the pathogenicity of S. aureus is closely correlated to its virulence factors (such as hemolysins, leukotoxins, enterotoxin, and coagulase) and biofilm formation (Dinges et al., 2000; Otto, 2014). Persisters are a subpopulation of bacterial cells that are tolerant to antibiotics without changes in minimum inhibitory concentration (MIC) values in the whole population and are one of the most important factors in the failure of antibiotic therapy (Wilmaerts et al., 2019). Persister formation is often explained by multiple mechanisms such as the reduction of cellular energy, cessation of DNA replication, blocked transcription and translation, decreased intracellular antibiotic concentrations, and antibiotic-induced damage (El-Halfawy and Valvano, 2015; Fisher et al., 2017; Wilmaerts et al., 2019). PhoU homologs are associated with persister formation in species including Escherichia coli, Pseudomonas aeruginosa, Mycobacterium tuberculosis, and Staphylococcus epidermidis (Li and Zhang, 2007; Shi and Zhang, 2010; Wang et al., 2017). The biological functions of the PhoU homologs in S. aureus are unclear and still require further investigation.

PhoU orthologs are found in many species of bacteria, but not in humans, and have been identified as phosphate-specific transport system accessory proteins (Morohoshi et al., 2002; Wang et al., 2013; de Almeida et al., 2015). In E. coli, PhoU protein is involved in the response to environmental Pi levels by interacting with PhoR and PstB (Gardner et al., 2014). A crystal structure analysis of PhoU protein in Thermotoga maritima revealed multinuclear iron clusters by a conserved E(D)XXXD motif pair (Liu et al., 2005). Little is known about the function of PhoU besides being a phosphate regulator. One phoU homolog is in the pst operon of E. coli and P. aeruginosa, whereas two phoU homologs are found in M. tuberculosis, Mycobacterium marinum, S. epidermidis, and S. aureus. In 2007, Li and Zhang (2007) showed that the inactivation of phoU in E. coli resulted in persister reduction and an up-regulated transcription level of some functional genes involved in energy production, nutrient transportation, flagellar synthesis, and chemotaxis. In P. aeruginosa, a phoU mutant displayed increased levels of intracellular guanosine tetraphosphate (ppGpp) and polyphosphate (polyP), impacted antibiotic susceptibility, and decreased growth rate of planktonic bacteria; however, there was no effect on biofilm formation (de Almeida et al., 2015). Two phoU homologs from M. tuberculosis, phoY1 and phoY2, showed distinct functions in different strains. In the M. tuberculosis H37Rv strain, the phoY2 mutant, but not the phoY1 mutant, increased the susceptibility to rifampicin and pyrazinamide and decreased persister formation, while in the M. tuberculosis Erdman strain, phoY1 and phoY2 double mutants, but not the single mutants (deletion of phoY1 or phoY2), increased the susceptibility to rifampicin and decreased persister formation (Shi and Zhang, 2010; Namugenyi et al., 2017). Thus, the biological functions of PhoU homologs show species-specific characteristics, which require individual investigations.

Our previous studies found that in S. epidermidis, the biological functions and regulation of PhoU homologs are different from those of some other bacterial species in specific ways (Wang et al., 2017). In S. epidermidis, the genome contains two PhoU homologs: phoU1, in the same operon as that pst and it has high homology with the phoU of E. coli, and phoU2, which is located in the pit operon (Wang et al., 2017). PhoU2, but not PhoU1, is an important regulator of biofilm formation and of tolerance to multiple stresses (Wang et al., 2017). The deletion of phoU2 resulted in growth retardation, decreased persister formation, and biofilm reduction in S. epidermidis, while phoU1 deletion had no effect on the bacterial phenotypes tested (Wang et al., 2017). PhoU2 deletion alters cellular metabolic processes such as inorganic phosphate metabolism, galactose metabolism, the pentose phosphate pathway, and the tricarboxylic acid cycle (Wang et al., 2017). In the genus Staphylococcus, both S. aureus and S. epidermidis are important pathogens, but their pathogenic mechanisms differ. The main pathogenic mechanisms of S. aureus are secretions of a variety of toxins to destroy host cells, invasion and survival in cells, and biofilm formation (Fraunholz and Sinha, 2012; Otto, 2014; Moormeier and Bayles, 2017). By comparison, the pathogenesis of S. epidermidis is mainly due to the formation of biofilms on materials used for medical interventions that resist clearance by the immune system and antibiotics. Persisters are generated during S. aureus or S. epidermidis infection (Grassi et al., 2017). A genome analysis of S. aureus USA500 2395 allowed for the identification of two phoU homologs, phoU1 and phoU2, located in the pst operon and pit operon, respectively. Overton et al. (2011) analyzed the transcriptomes and the proteomics of the S. aureus ATCC 8325 strain and suggested that phoU1 is involved in persister formation in the presence of the cationic bacitracin (ranalexin) (Overton et al., 2011). The pit operon of the S. aureus HG003 strain contains the pitA and the phoU2 (pitR) genes. A single-point mutation in pitA (downstream of phoU2) resulted in high tolerance to daptomycin, and phoU2 (pitR) was required for the expression of this phenotype (Mechler et al., 2016). We therefore speculated that the regulatory functions of the two phoU homologs (phoU1 and phoU2) of S. aureus may differ from those in S. epidermidis. In S. aureus, the regulation of persister formation and virulence, and their interconnections, may be associated with the phoU homologs and requires further investigation.

In the present study, we generated phoU single mutants of S. aureus strain USA500 2395, named ΔphoU1 and ΔphoU2. The effects of these deletions on bacterial growth, persister formation, and metabolism were investigated. Comparisons of the transcriptome profiles of ΔphoU1 vs. the parent strain and of ΔphoU2 vs. the parent strain allowed for differentially expressed genes (DEGs) that were involved in phosphate metabolism, carbon and pyruvate metabolism, and virulence gene expression to be identified. We analyzed intracellular inorganic phosphate (Pi), polyP, glucose, pyruvate, ATP, bacterial survival in cells, and hemolysis, respectively. The deletion of phoU1 or phoU2 of S. aureus increased carbon metabolism and intracellular ATP levels, which may be associated with the decreased antibiotic tolerance of bacteria and the reduced intracellular survival of bacteria in human lung epithelial A549 cells. The results suggest that both PhoU1 and PhoU2 of S. aureus are involved in the regulation of persister generation and virulence.

Materials and Methods

Bacterial Strains, Plasmids, Growth Conditions, and Antibiotics

The bacterial strains and plasmids used for cloning are listed in Supplementary Table S1. The S. aureus strain USA500 2395 was used for the construction of gene knockout and complementation. S. aureus strain USA300 FPR3757 and SA113 were used for gene silencing. E. coli DC10B was used for staphylococcal cloning host. S. aureus strains were grown at 37°C in tryptic soya broth (TSB) (OXOID, Basingstoke, United Kingdom). E. coli was grown at 37°C in Luria broth (1% tryptone, 0.5% NaCl, and 0.5% yeast extract). B2 media (2.5% yeast extract, 1% tryptone, 0.5% glucose, 2.5% NaCl, and 0.1% K2HPO4) was used for preparing and recovering the electrocompetent cells of S. aureus after electroporation. The antibiotics were used at the following concentrations: ampicillin at 100 μg/ml, chloramphenicol at 10 μg/ml, anhydrotetracycline at 50 ng/ml, and erythromycin at 10 μg/ml (Sigma, United States).

Construction of Gene Knockout, Complementation, and Silencing Strains

The phoU1 and phoU2 deletion mutants of S. aureus USA500 2395 were constructed using the temperature-sensitive plasmid pKOR1 (Bae and Schneewind, 2006). The upstream and downstream fragments of phoU1 or phoU2 were amplified by PCR, ligated by T4 DNA ligase, and cloned into vector pKOR1, resulting in recombinant pKOR1-ΔphoU1 or pKOR1-ΔphoU2. The plasmids pKOR1-ΔphoU1andpKOR1-ΔphoU2 were transferred into E. coli DC10Band then into USA500 2395.ΔphoU1andΔphoU2were generated by the homologous recombination method of allelic exchange, as described (Bae and Schneewind, 2006). By transferring pKOR1-ΔphoU2 vector into ΔphoU1, the double-deletion mutant of phoU1 and phoU2phoU1ΔphoU2) was constructed. The gene deletion mutants were verified by PCR, quantitative reverse transcription-PCR (qRT-PCR), and sequencing.

Complementation of the ΔphoU1 and the ΔphoU2was achieved by the E. coliStaphylococcus shuttle vector pCN51 and pRB473. The phoU1 or the phoU2, with their promoter regions, was amplified by PCR and inserted into pCN51. The pCN51-phoU1 or pCN51-phoU2 plasmid was transferred into the corresponding deletion mutants by electroporation. The pRB473-phoU2 plasmid was constructed according to the abovementioned method. The complemented ΔphoU1ΔphoU2 was constructed by transferring the pCN51-phoU1 and pRB473-phoU2 by electroporation.

The silencing strains of phoU1 or phoU2 were constructed by the shuttle plasmid pMX6 (Helle et al., 2011; Xu et al., 2017). The hairpin structure formed by the plasmid pMX6 was used for constructing antisense RNA (asRNA) expression. The plasmid of asRNA phoU1 or asRNA phoU2 was constructed by firstly amplifying a sequence of about 200 nt containing the start codon of the corresponding gene. Then, the sequence was inserted in the reverse direction downstream of the anhydrotetracycline-inducible promoter in pMX6. The plasmid of asRNA phoU1 or asRNA phoU2 was transferred into USA500 2395, USA300 FPR3757, and SA113 by electroporation, resulting in the silencing strains. Primers are listed in the Supplementary Tables S3, S4.

Bacterial Growth Curve and Viable Bacteria Count

S. aureus strains were grown to stationary phase (12 h) and then diluted (1:200) in TSB medium. For bacterial growth curves, bacteria were grown at 37°C with shaking at 220 rpm and monitored by measuring the OD600 at 1 h intervals for 24 h by Bioscreen C (Turku, Finland). For viable bacterial count, bacteria were grown at 37°C with shaking, and the cells were plated in serial dilutions on TSB agar at 4 and 12 h, then the colony-forming units (CFU) were counted.

MIC and MBC Determination

According to the CLSI National Committee for Clinical Laboratory, the MICs were determined by using serial twofold dilutions of the antibiotics (vancomycin, levofloxacin, gentamicin, and daptomycin) in Mueller–Hinton broth (MH, OXOID). The initial cell density was 105 CFU/ml. Then, the initial bacteria were inoculated into MH broth for 16–20 h. The MIC is defined as the lowest concentration of antibiotics that inhibited the visible growth of bacteria. MH broth without antibiotic served as the control. The minimal bactericidal concentration (MBC) values were identified by plating 100-μl samples, from tubes with no visible bacterial growth in MIC tests, onto MHB agar plates. The concentration that reduced the viability of the initial bacterial inoculum by =99.9% was the MBC.

Persister Assay

Persisters were determined as described (Li and Zhang, 2007). S. aureus strains were grown in TSB for 12 h to reach the stationary phase. Different 25 × MIC antibiotics were added to the cultures (final concentrations: levofloxacin at 12.5 mg/L and vancomycin at 25 mg/L). At each time point (0, 4, 8, 12, 24, 48, and 72 h), 1 ml of bacteria was collected by centrifugation (6,000 rpm), washed twice with cold saline, serially diluted 10-fold, and plated on TSB agar. Then, the CFU were counted.

Sensitivity to H2O2 and SDS

Overnight cultures (12 h) of S. aureus strains were diluted 1:200 into 7 mM H2O2 or 0.005% sodium dodecyl sulfate (SDS) TSB and incubated at 37°C, and the OD600 was measured. Overnight cultures of S. aureus strains were serially diluted 10-fold. Five microliters of the diluted samples was spotted onto TSA plates containing 7 mM H2O2 or 0.005% SDS and incubated at 37°C overnight. The plates with bacterial colonies were photographed.

RNA Extracting and Sequencing

Total RNA for RNA-Seq and qRT-PCR was extracted by RNeasy Mini kit (QIAGEN, Hilden, Germany) following the manufacturer’s instructions. In brief, S. aureus and the derivative strains were diluted 1:200 into 20 mM TSB and incubated at 37°C. At 12 h, 8 ml of bacteria was collected at 6,000 rpm and washed twice times with cold saline. With 0.5 ml of 0.1 mm zirconia-silica beads, the cells were homogenized for five rounds using a Mini-Bead beater (Biospec, Bartlesville, OK, United States) at 4,800 rpm for 1 min and were cooled on ice for 1 min. Then, the samples were centrifuged at 12,000 rpm, and RNA in the supernatant was extracted using the silica-based filter of Neasy Mini kit.

The samples were prepared according to the Illumina RNA Sequencing Sample Preparation Guide. In brief, three biological replicates for each of the S. aureus were treated with RNase-free DNase I (Takara) to remove the genomic DNA. The BioAnalyzer 2100 system was used to evaluate RNA quality. The samples were treated with the RiboZero rRNA removal kit (gram-positive organisms) to remove ribosomal RNA. Fragmented RNA was reverse-transcribed using random primers. The cDNA library included fragment sizes of 200–300 bp, which were prepared by the mRNA-Seq Sample Prep kit and verified on the BioAnalyzer 2100 system. Then, the fragment size is amplified by Illumina cBot and sequenced by Illumina HiSeq 2500.

RNA-Seq Data Analysis and qRT-PCR Validation

Quality control involves discarding of rRNA reads, sequencing adapters, short fragments, and other low-quality reads. The remaining reads were multi-mapped to the genome of S. aureus USA500 2395 at the NCBI website with the Bowtie2 software. BED Tools software was used to count the transcript expression levels. Per kilobase of gene per million mapped reads (RPKM) reported the RNA-seq gene expression values. Integrated Genomics Viewer was used to visualize the date. DEGseq software was used to quantify the differential expression of different transcripts. Significant differences in expression ratios were defined as at least 2.0- or 0.5-fold change in transcript level. The P-values cutoff was calculated (0.05). IPA Software was used to analyze differentially expressed genes in the canonical pathway. The number of genes mapped to the pathway vs. the total genes present in the canonical pathway determined the significance of the pathway.

A pool of 5 μg of total RNA for S. aureus strains was DNA-digested and reverse-transcribed into cDNA using PrimeScript TM RT reagent kit. Then, 100 ng/μl cDNA was used for qRT-PCR with TB green PCR reagents. All reagents were from Takara Biotechnology. The reactions were performed in a Mastercycler realplex system (Eppendorf AG, Hamburg, Germany) and normalized using gyrB (DNA gyrase subunit B) as the housekeeping gene. Each gene qRT-PCR was performed in triplicate.

Protein–Protein Interaction Network

Cytoscape software was used to construct a protein–protein interaction network (PPI) according to the Kyoto Encyclopedia of Genes and Genomes (KEGG) database1.

Inorganic Phosphate Determination

Intracellular Pi was quantified with a commercially available kit (no. ab65622; Abcam), which was modified for S. aureus (Mechler et al., 2015). In brief, overnight cultures of S. aureus strains were diluted 1:200 into TSB and incubated at 37°C. After 12 h, the cells were harvested by centrifugation at 4,000 rpm for 10 min at 4°C. The cells were washed twice with ice-cold, double-distilled water and adjusted to OD600 ≈1; then, they were lysed with 0.1 mm glass-silica beads in a BeadBeater apparatus (BioSpec), followed by centrifugation to get the supernatant. The supernatant was used to measure OD650 (Thermo VARIOSKAN LUX). The Pi levels were determined according to the manufacturer’s instructions.

Polyphosphate Determination

Intracellular polyP levels were determined using 4’-6-diamidino-2-phenylindole (DAPI; Sigma) as described previously (Aschar-Sobbi et al., 2008). Overnight cultures of S. aureus strains were diluted 1:200 into TSB and incubated at 37°C. After 12 h, the cells were washed twice with Tris-HCl buffer (100 mM Tris, pH 7.4) and adjusted to OD600 ≈ 1. DAPI was added to a final concentration of 20 μM. After 15 min of agitation at room temperature in the dark, the fluorescence signal was determined using a microplate reader with excitation at 415 nm and emission at 550 nm (Thermo VARIOSKAN LUX).

Glucose and Pyruvate Detection

Glucose and pyruvate were measured using the Glucose Assay Kit (ab65333; Abcam) and Pyruvate Assay Kit (ab65342; Abcam) according to the manufacturer’s instructions (Liang et al., 2018; Schnack et al., 2019). S. aureus strains were diluted 1:200 into TSB and incubated at 37°C. After 12 h, culture supernatant and cells were harvested. The cells were washed twice with phosphate-buffered saline (PBS) and adjusted to OD600 ≈ 1 with assay buffer and then were lysed with 0.1-mm glass-silica beads in a BeadBeater apparatus (BioSpec), followed by centrifugation to obtain the supernatant. The fluorescence signal of the supernatant was determined using a microplate reader with excitation at 535 nm and emission at 587 nm (Thermo VARIOSKAN LUX).

Intracellular ATP Detection

The ATP levels of S. aureus strains were measured using a Promega BacTiter Glo kit according to the manufacturer’s instructions (Bonora et al., 2015). S. aureus strains were diluted 1:200 into TSB and incubated at 37°C. After 12 h, the cells were washed twice with PBS and adjusted to OD600 ≈1. A volume of BacTiter-GloTM Reagent was added equal to the volume of the cell culture medium present in each well. The complexes were mixed briefly and incubated for 5 min. Luminescence was determined using a microplate reader (Thermo VARIOSKAN LUX).

Invasion and Intracellular Survival Assays

An assay of bacterial invasion was performed as previously described (Liang et al., 2006; Sharma et al., 2013; Mechler et al., 2015). A549 human lung epithelial cells were cultured in Dulbecco’s modified Eagle’s medium/F-12 medium supplemented with 10% fetal calf serum, streptomycin (100 μg/ml), and penicillin (100 μg/ml) in a 5% CO2 incubator at 37°C. The cells were passaged and expanded every 2 days. At 1 day prior to infection, 2 × 105 cells were seeded in 24-well plates with an antibiotic-free cell culture medium and incubated at 37°C in a 5% CO2 incubator. S. aureus strains were grown for 4 and 12 h in TSB. One milliliter of the bacterial culture was washed with ice-cold saline and resuspended in 1 ml of cell culture medium. Approximately 2 × 106 CFU/ml of S. aureus strains were seeded in a 24-well plate. The plates were centrifuged at 1,000 rpm for 5 min to synchronize infection and then incubated for 1 h at 37°C in a 5% CO2 incubator. The culture medium was removed. Extracellular bacteria were treated with 100 μg/ml gentamicin and 20 μg/ml lysostaphin (Sangon Biotech) for 30 min. The monolayer cells were washed three times with PBS (pH 7.4) and incubated for an additional 1 h (invasion capacity) or 24 h (intracellular survival). Intracellular bacteria were counted for the CFU by lysis of the host cells with 0.01% Triton X-100.

Rabbit Erythrocyte Lysis Assay

As rabbit erythrocytes were exquisitely sensitive to alpha-toxin (Bernheimer et al., 1968), assessment of the alpha-hemolysin activity was done by the analysis of rabbit erythrocytes lysis as Kernodle DS et al. had previously described (Sharma-Kuinkel et al., 2012). Briefly, the S. aureus strains were diluted 1:200 into TSB and incubated at 37°C. After 12 h, the culture supernatant was harvested. The supernatant was removed with a 0.22 μm filter (Millipore). Commercial 4% rabbit erythrocytes (SBJ-RBC-RAB003, Sbjbio, China) stored in Alsevers solution were four times diluted with PBS. The supernatant was added, equal to the volume of 1% of rabbit erythrocytes, and then incubated at 37°C for 30 min. The OD550 of each well was measured by a spectrophotometer. Then, 0.1% Triton X-100 served as the 100% hemolysis control (positive control), and PBS was the negative control. All experiments were performed in triplicate.

Extracellular Alpha-Hemolysin Western Blot Assay

The collected supernatant was added 5 × loading buffer and the mixture was heated at 100°C for 5 min. Equal volumes of the mixture were separated using SDS-PAGE (10%) and transferred to polyvinylidene fluoride membrane (pore size, 0.45 μm; Millipore) by electrotransfer. The membranes were blocked with 5% skim milk for 2 h at room temperature and then incubated with alpha-hemolysin polyclonal antibody (Sigma S7531) overnight at 4°C. After washing three times with PBST, the membranes were incubated with HRP-conjugated goat anti-rabbit IgG (Santa Cruz, Santa Cruz, CA, United States). The immunoreactive bands were detected by visualization using an enhanced chemiluminescence Western blotting system (Thermo Fisher Scientific, Waltham, MA, United States).

Statistical Analysis

All of the data were analyzed with SPSS (version 16.0) and compared using the independent-samples t-test. Differences with P-value < 0.05 were considered as statistically significant.

RNA-Seq Data Accession Number

The RNA-Seq data were submitted to the Gene Expression Omnibus database. The accession number was GSE139071.

Results

Construction of phoU1 and phoU2 Deletion Mutant Strains

In the genome of S. aureus, strain USA500 2395 (GenBank accession number CP007499), two PhoU homologs are present: phoU1 is located in the pst operon and phoU2 is located in the pit operon. An alignment analysis of the PhoU homologs showed a high identity at the nucleotide level (>99%) and at the amino acid level (100%) in S. aureus strains (Supplementary Table S1). The identity of S. aureus PhoU1 or PhoU2, when compared with S. epidermidis, was 70 and 87%, respectively, at the nucleotide level and 95% for both proteins at the amino acid level (Supplementary Table S1).

Single or double mutants of phoU1 and phoU2 were constructed in the USA500 2395 strain using the temperature-sensitive plasmid pKOR1 and were named ΔphoU1, ΔphoU2, and ΔphoU1ΔphoU2. The mutants were verified by PCR, qRT-PCR, and sequencing (the data not shown). Complementation of the ΔphoU1 and the ΔphoU2 mutants was achieved using the vectors pCN51 and pRB473, which were named C-ΔphoU1 and C-ΔphoU2, respectively. We then determined the growth curve and the viable bacterial counts of the 3 phoU mutants and the wild-type strain USA500 2395. Both the growth curve and the viable bacterial count of ΔphoU1 or ΔphoU2 were similar to USA500 2395 (Supplementary Figures S1A,B).

Antibiotic Tolerance of the phoU1 and phoU2 Deletion Mutants

Previous reports indicated that PhoU2, but not PhoU1, impacted antibiotic tolerance in S. epidermidis (Wang et al., 2017); therefore, we investigated the effects of deleting the phoU homolog on S. aureus antibiotic tolerance. The antibiotic tolerance of ΔphoU1, ΔphoU2, and USA500 2395 was determined using a modified procedure described by Li and Zhang. The ΔphoU1, ΔphoU2, and USA500 2395 strains were incubated in TSB for 12 h (to reach stationary growth phase), followed by 5 days of incubation with 25 × MIC vancomycin (25 μg/ml) or levofloxacin (12.5 μg/ml). The surviving CFU were counted at different time points. The antibiotic tolerance of both ΔphoU1 and ΔphoU2 showed 4-log reductions when compared with USA500 2395, and no viable bacteria were detected in either ΔphoU1 or ΔphoU2 after vancomycin exposure with 25 × MIC for 48 h, whereas in USA500 2395, 3.8 × 104 CFU were detected (Table 1). Moreover, no viable bacteria were detected in either ΔphoU1 or ΔphoU2 after exposure to 25 × MIC levofloxacin for 24 h, compared to USA500 2395 where 5 × 104 CFU were detected (Table 1). The complemented strains C-phoU1 and C-phoU2 restored the antibiotic tolerance, while the P-phoU1 and P-phoU2 strains with empty plasmids performed the same as the phoU mutants. The MIC and MBC of ΔphoU1 and ΔphoU2 were similar to that of USA500 2395 (Supplementary Table S2).

TABLE 1

Antibiotic/bacterialTime pointCFU/ml
USA500 2395Δ phoU1P-Δ phoU1C-Δ phoU1Δ phoU2P-Δ phoU2C-Δ phoU2
VanStart2.0 × 10101.8 × 10101.6 × 10101.8 × 10102.0 × 10101.6 × 10101.8 × 1010
4 h8.0 × 1086.3 × 1087.1 × 1086.8 × 1088.0 × 1088.0 × 1086.0 × 108
8 h1.4 × 1082.0 × 1074.6 × 1075.8 × 1076.0 × 1078.0 × 1078.0 × 107
12 h1.0 × 1082.5 × 1074.3 × 1079.2 × 1072.0 × 1074.0 × 1071.4 × 108
24 h1.2 × 1063.0 × 1054.0 × 1056.2 × 1068.0 × 1051.2 × 1064.0 × 107
48 h3.8 × 104002.3 × 105008.0 × 105
72 h4.0 × 103004.0 × 103004.0 × 103

LevStart2.0 × 10101.8 × 10101.6 × 10101.8 × 10102.0 × 10101.6 × 10101.8 × 1010
4 h1.0 × 1072.0 × 1071.5 × 1072.3 × 1071.4 × 1072 × 1062.2 × 107
8 h1.6 × 1056.9 × 1049.7 × 1042.7 × 1058 × 1041.2 × 1051.6 × 105
12 h1.2 × 1058 × 1041.4 × 1051.4 × 1051.0 × 1041.4 × 1041.4 × 105
24 h5 × 104002 × 104000
48 h0000000
72 h0000000

Deletion of phoU1 or phoU2 decreased the persister formation in Staphylococcus aureus under the pressure of antibiotics.

Overnight cultures (12 h) of ΔphoU1, ΔphoU2, and USA500 2395 were added into tryptic soya broth medium containing 25 × MIC of vancomycin (Van, 25 μg/ml) or levofloxacin (Lev, 12.5 μg/ml) and incubated at 37°C until 72 h. The colony-forming units of the above strains were performed at the indicated time points. The complementation of ΔphoU1 or ΔphoU2 mutant was abbreviated as C-phoU1 or C-phoU2, which were transferred as pCN51-phoU1 or pCN51-phoU2 into the corresponding deletion mutants. The empty vectors of pCN51 transferred into the ΔphoU1 or ΔphoU2 mutants were named P-phoU1 or P-phoU2.

Tolerance to H2O2 and SDS of phoU1 and phoU2 Deletion Mutants

We evaluated the tolerance of ΔphoU1 and ΔphoU2 to stresses (SDS and H2O2) and found that, when exposed in TSB containing 7 mmol H2O2, the lag phase of ΔphoU1 and ΔphoU2 was extended by 2 and 4 h, respectively, in comparison to USA500 2395 (Figure 1A). When cultured in 0.005% SDS TSB for 12 h, the OD600 values of ΔphoU1 and ΔphoU2 were 0.96 ± 0.013 and 0.84 ± 0.007, respectively, which were all lower than that of USA500 2395 (1.15 ± 0.023) (Figure 1C). When cultured in 7 mmol H2O2 (or 0.005% SDS) TSB for 6 h, bacteria were collected and plated on TSB agar plates in serial dilutions, and CFU were counted. The CFU of ΔphoU1 and ΔphoU2 were log10 7.92 ± 1.74 (or log10 7.6 ± 0.82) and log10 7.48 ± 0.53 (or log10 7. 20 ± 0.43), respectively, which were all lower than that of USA500 2395 log10 8.6 ± 0.72 (or log10 8.5 ± 0.53) (Figures 1B,D). The complemented strains C-phoU1 and C-phoU2 restored the tolerance to H2O2 and SDS.

FIGURE 1

FIGURE 1

Deletion of phoU1 or phoU2 increased the sensitivity to H2O2 and sodium dodecyl sulfate (SDS) of Staphylococcus aureus. Overnight cultures (12 h) of ΔphoU1, ΔphoU2, C- phoU1, C- phoU2, and USA500 2395 strains were diluted at 1:200 into tryptic soya broth (TSB) containing either (A) hydrogen peroxide (H2O2; 7 mM) or (C) SDS (0.005%), then grown at 37°C with shaking at 220 rpm, and monitored by measuring the OD600 at the indicated time points until 12 h. (B) H2O2 (7 mM) or (D) SDS (0.005%), collecting (A,C) 6 h culture; bacteria in serial dilutions were plated on TSB agar plates and colony-forming units were counted. The experiments were repeated three times, and error bars indicate the standard deviation. Mutant strains exhibited significant differences (**P < 0.01) when compared with the wild-type and the complemented strains C-phoU1 or C-phoU2.

The ΔphoU1, ΔphoU2, and USA500 2395 strains were exposed onto TSB agar containing either H2O2 (7 mmol) or SDS (0.005%) and then incubated for 24 h at 37°C. The number of colonies on the plates displayed the final impact on the growth under the pressure of H2O2 and SDS. The ΔphoU1 and ΔphoU2 mutants displayed higher sensitivity to SDS than that of the parent strain, when 103 CFU was spotted onto TSB agar containing SDS (0.005%) (Supplementary Figure S4). However, the sensitivity of the ΔphoU1 and ΔphoU2 mutants to H2O2 was similar to that of the parent strain (Supplementary Figure S4).

Comparison of the Transcriptomes of ΔphoU1, ΔphoU2, and USA500 2395

For the analysis of ΔphoU1, ΔphoU2, and USA500 2395 transcriptomes, bacterial RNA was extracted at the stationary phase (after 12 h of growth) and analyzed by RNA-Seq. Transcriptome analysis indicated 573 differentially expressed genes between ΔphoU1 and USA500 2395, including 456 up-regulated and 117 down-regulated genes. Between ΔphoU2 and USA500 2395, 285 differentially expressed genes were identified, including 53 up-regulated and 232 down-regulated genes. We selected 65 DEGs for validation by RT-qPCR and established that 61 DEGs were consistent, following RNA-Seq. A PPI was constructed based on the KEGG database1. This suggested that the DEGs between ΔphoU1 and USA500 2395 were widely involved in various metabolic pathways (including iron transport and the metabolism of carbon, pyruvate, urease, and fatty acids) and that a majority of these genes were up-regulated (Table 2 and Figure 2). Furthermore, the transcription levels of the DEGs between ΔphoU2 and USA500 2395 that were linked to phosphate metabolism were up-regulated, whereas the majority of those linked to carbon and pyruvate metabolism were down-regulated (Table 3 and Figure 2). In both ΔphoU1 and ΔphoU2 mutants, the transcription levels of virulence-related factors (including the type VII secretion system operon esxA, esaA, essA, essB, and essC), serine-like proteinases (sspA, splF, splE, splD, splC, splB, and splA), leukocidin (lukG, lukH, and lukD), and hemolysin (hlgA, hlgC, hlgB, and hlα) were down-regulated compared with those of USA500 2395 (Supplementary Table S5). The transcription levels of fibrinogen-binding genes and sarA (a regulator of fibronectin-binding proteins, hemolysins, and serine proteases) between ΔphoU1 and USA500 2395 were down-regulated, whereas those of codY (a repressor of the Agr system) and graS/graR were up-regulated. The transcription levels of phoP/phoR between ΔphoU2 and USA500 2395 were up-regulated, while those of sarA, sarR, sarZ, codY, and rot were down-regulated.

TABLE 2

GeneDescriptionFold change
RNA-seqqRT-PCR
Carbon metabolism
CH51_RS01175Sorbitol dehydrogenase2.04ND
CH51_RS14180Gluconate permease2.17ND
CH51_RS14185Gluconokinase2.52ND
CH51_RS14680Acyl esterase2.26ND
CH51_RS14690Pantoate-beta-alanine ligase2.14ND
CH51_RS147002-Dehydropantoate 2-reductase2.63ND
CH51_RS11580Carbohydrate kinase2.33ND
CH51_RS11585Sucrose-6-phosphate hydrolase2.17ND
CH51_RS06555Ribulose-phosphate 3-epimerase2.16ND
CH51_RS08720Glycine dehydrogenase2.94ND
CH51_RS02915Serine acetyltransferase2.52ND
CH51_RS00820Formate dehydrogenase2.06ND
CH51_RS09725Formate-tetrahydrofolate ligase2.07ND
CH51_RS05415Bifunctional methylenetetrahydrofolate dehydrogenase/methenyltetrahydrofolate cyclohydrolase2.04ND
CH51_RS08715Glycine dehydrogenase3.394.21 ± 0.83
Pyruvate metabolism
CH51_RS03145Acetyl-CoA acetyltransferase2.58ND
CH51_RS00775Aldehyde dehydrogenase2.02ND
CH51_RS01035Formate acetyltransferase0.370.52 ± 0.12
CH51_RS01095Acyl CoA:acetate/3-ketoacid CoA transferase2.74ND
CH51_RS10975Aldehyde dehydrogenase2.84ND
CH51_RS14295Lactate dehydrogenase0.43ND
CH51_RS04930CoA-disulfide reductase2.32ND
CH51_RS09730Acetate-CoA ligase2.31ND
CH51_RS14750Acetyl-CoA synthetase2.171.91 ± 0.61
Glycolysis/gluconeogenesis
CH51_RS03355Zinc-dependent alcohol dehydrogenase0.24ND
CH51_RS10975Aldehyde dehydrogenase2.84ND
CH51_RS09730Acetate-CoA ligase2.31ND
CH51_RS14750Acetyl-CoA synthetase2.17ND
CH51_RS00775Aldehyde dehydrogenase2.02ND
Propanoate metabolism
CH51_RS08625Alpha-ketoacid dehydrogenase subunit beta2.2ND
CH51_RS086202-Oxo acid dehydrogenase subunit E22.44ND
Glyoxylate and dicarboxylate metabolism
CH51_RS08725Aminomethyltransferase2.97ND
CH51_RS03045HAD family hydrolase2.01ND
Purine metabolism
CH51_RS06550GTPase2.52ND
CH51_RS05100GTP pyrophosphokinase2.13ND
CH51_RS05450Amidophosphoribosyl transferase0.46ND
CH51_RS06795DNA polymerase III subunit alpha2.34ND
purEPhosphoribosylaminoimidazole synthase0.45ND
purSPhosphoribosylformylglycinamidine synthase subunit0.33ND
purQPhosphoribosylformyl glycinamidine synthase subunit0.43ND
purLphosphoribosylformylglycinamidine synthase subunit0.41ND
CH51_RS09215Bifunctional (p)ppGpp synthetase/guanosine-3\’,5\’-bis(diphosphate) 3\’-pyrophosphohydrolase2.16ND
CH51_RS09555DNA polymerase III subunit alpha2.42ND
CH51_RS02730Hypoxanthine-guanine phosphoribosyltransferase2.35ND
Urease metabolism
CH51_RS12985Urease subunit beta3.582.82 ± 0.62
CH51_RS12980Urease subunit gamma2.861.61 ± 0.37
CH51_RS12975Urea transporter2.06ND
CH51_RS13000Urease accessory protein UreF2.45ND
CH51_RS13010Urease accessory protein2.1ND
Iron metabolism
fhuDIron-dicitrate ABC transporter permease2.25ND
fhuBIron ABC transporter permease2.47ND
fhuCABC transporter substrate-binding protein2.91ND
CH51_RS03385Iron ABC transporter permease2.17ND
CH51_RS03560Iron ABC transporter permease2.13ND
CH51_RS03565Iron ABC transporter permease2.28ND
CH51_RS03570Iron ABC transporter permease2.32ND
CH51_RS04045Iron-dicitrate ABC transporter2.25ND
CH51_RS04040Iron ABC transporter ATP-binding protein2.11ND
sbnASiderophore biosynthesis protein2.731.78 ± 0.14
sbnB2,3-Diaminopropionate biosynthesis protein2.59ND
sbnCIucA/IucC family siderophore biosynthesis protein2.98ND
CH51_RS00500Staphyloferrin B export MFS transporter4.38ND
sbnEStaphyloferrin B biosynthesis enzyme4.2ND
sbnFStaphyloferrin B biosynthesis protein4.21ND
sbnGSiderophore biosynthesis protein4.1ND
sbnHStaphyloferrin B biosynthesis decarboxylase3.09ND
sbnISiderophore biosynthesis protein3.491.62 ± 0.51
CH51_RS00745Iron-regulated surface sugar transferase2.3ND
CH51_RS04775Iron-sulfur cluster assembly accessory protein2.03ND
CH51_RS09715Iron-regulated surface determinant protein H5.38ND
CH51_RS06055Iron-regulated surface determinant protein B3.06ND
CH51_RS06075Heme uptake system protein IsdE2.67ND
Phosphate metabolism
phoUPhosphate transport system regulatory protein0ND
pstCPhosphate ABC transporter permease subunit0.451.85 ± 0.16
Fatty acid metabolism
CH51_RS01075Acetyl-CoA C-acyltransferase3.91ND
CH51_RS010803-Hydroxyacyl-CoA dehydrogenase4.12ND
CH51_RS01085Glutaryl-CoA dehydrogenase3.86ND
CH51_RS01090Long-chain fatty acid-CoA ligase4.2ND
fapRTranscription factor FapR2.51ND
CH51_RS06590Phosphate acyltransferase2.73ND
CH51_RS06595Malonyl CoA-ACP transacylase2.3ND
CH51_RS066003-Oxoacyl2.4ND
CH51_RS049903-Oxoacyl-ACP synthase III2.44ND
CH51_RS03140Long-chain-fatty-acid-CoA ligase3.85ND
CH51_RS05715Glycerophosphodiester phosphodiesterase2.04ND
CH51_RS07225Cardiolipin synthase2.19ND
CH51_RS03620NAD(P)-dependent oxidoreductase2.95ND
CH51_RS03940LTA synthase family protein2.01ND
Biotin metabolism
CH51_RS13710Hypothetical protein14.6ND
CH51_RS137156-Carboxyhexanoate-CoA ligase19.84ND
CH51_RS13720Aminotransferase class V-fold PLP-dependent enzyme13.9ND
CH51_RS13725Biotin synthase15.646.8 ± 0.81
CH51_RS13730Adenosylmethionine-8-amino-7-oxononanoate aminotransferase BioA38.0410.36 ± 1.23
CH51_RS13735Dethiobiotin synthase35.98ND
CH51_RS13760Hypothetical protein16.1ND
CH51_RS07980Biotin2.03ND
CH51_RS12955Biotin transporter BioY6.42ND
Proline metabolism
CH51_RS00845Acetylglutamate kinase2.01ND
CH51_RS04860Ornithine aminotransferase 22.15ND
CH51_RS16020Hypothetical protein7.01ND
CH51_RS08555Pyrroline-5-carboxylate reductase2.49ND
Lysine biosynthesis
CH51_RS076354-Hydroxy-tetrahydrodipicolinate reductase2.12ND
CH51_RS07655Diaminopimelate decarboxylase2.37ND
CH51_RS13980DUF2338 domain-containing protein3.26ND
CH51_RS13990Diaminopimelate epimerase2.69ND
CH51_RS07275Homoserine dehydrogenase2.01ND
Glycine, serine, and threonine metabolism
CH51_RS01330Glycine-glycine endopeptidase LytM3.59ND
CH51_RS07525Glycine glycyltransferase FemB2.14ND
CH51_RS01620Glycine cleavage system protein H2.57ND
CH51_RS01625Hypothetical protein2.32ND
CH51_RS01630Deacetylase SIR22.86ND
CH51_RS01635Lipoate-protein ligase A3.03ND
CH51_RS09640GAF domain-containing protein2.16ND
Cysteine, histidine, and methionine metabolism
CH51_RS00060Homoserine O-acetyltransferaseisomerase2.2ND
CH51_RS02430Cysteine synthase family protein2.16ND
CH51_RS13215Urocanate hydratase0.31ND
CH51_RS13210Imidazolonepropionase0.28ND

Pathway analysis of differentially expressed genes of ΔphoU1 and USA500 2395.

ND, not done.

TABLE 3

GeneDescriptionFold change
RNA-seqqRT-PCR
Carbon metabolism
CH51_RS042602,3-Bisphosphoglycerate-independent phosphoglycerate mutase0.42ND
CH51_RS04265Enolase0.49ND
CH51_RS04255Triose-phosphate isomerase0.42ND
CH51_RS02745Cysteine synthase0.31ND
CH51_RS04250Phosphoglycerate kinase0.36ND
CH51_RS14740Malate:quinone oxidoreductase0.49ND
CH51_RS04245Aldehyde dehydrogenase0.34ND
Pyruvate metabolism
CH51_RS14295D-Lactate dehydrogenase3.11ND
CH51_RS01035Pyruvate formate lyase2.71ND
CH51_RS147502-Isopropylmalate synthase0.49ND
Glycolysis/gluconeogenesis
CH51_RS03355Alcohol dehydrogenase3.35ND
Pentose and glucuronate interconversions
CH51_RS011902-C-Methyl-D-erythritol 4-phosphate cytidylyltransferase0.39ND
CH51_RS01195Alcohol dehydrogenase0.47ND
Purine metabolism
CH51_RS054205-(carboxyamino)imidazole ribonucleotide mutase4.99ND
CH51_RS06845Polyribonucleotide nucleotidyltransferase0.35ND
CH51_RS054255-(carboxyamino)imidazole ribonucleotide synthase3.06ND
Iron metabolism
CH51_RS00480Iron-siderophore ABC transporter substrate-binding protein0.41ND
CH51_RS06060Iron-regulated surface determinant protein A0.23ND
CH51_RS06065Iron-regulated surface determinant protein C0.44ND
Nitrogen metabolism
CH51_RS13560Nitrate reductase subunit alpha3.1ND
Phosphate metabolism
phoU1Phosphate transport system regulatory protein22.235.56 ± 5.65
pstBPhosphate ABC transporter ATP-binding protein24.5532.37 ± 4.8
pstAPhosphate ABC transporter, permease protein26.0519.74 ± 2.7
pstCPhosphate ABC transporter permease subunit20.9746.05 ± 6.73
pstSPhosphate-binding protein10.2325.14 ± 6.21
phnEPhosphonate ABC transporter, permease protein6.19ND
phnFPhosphonate ABC transporter, permease protein3.47ND
phnCPhosphonates import ATP-binding protein6.38ND
phnDPhosphate/phosphite/phosphonate ABC transporter substrate-binding protein5.81ND
phoAAlkaline phosphatase3.281.91 ± 0.15
phoU2DUF47 domain-containing protein0.04
pitAInorganic phosphate transporter2.522.83 ± 0.12
phoRSensor histidine kinase3.642.48 ± 0.51
phoPDNA-binding response regulator3.42ND
Cysteine and methionine metabolism
CH51_RS09640GAF domain-containing protein0.48ND
CH51_RS10035S-Adenosylmethionine synthase0.39ND
CH51_RS02435Cystathionine gamma-synthase0.32ND
CH51_RS02430Cysteine synthase family protein0.5ND
Alanine and aspartate metabolism
CH51_RS06445Aspartate carbamoyltransferase0.36ND
CH51_RS06460Carbamoyl-phosphate synthase large chain0.37ND
CH51_RS06455Carbamoyl-phosphate synthase small chain0.38ND
Glycine, serine, and threonine metabolism
CH51_RS14765Oxygen-dependent choline dehydrogenase2.71ND
CH51_RS14770Betaine-aldehyde dehydrogenase3.33ND

Pathway analysis of differentially expressed genes of ΔphoU2 and USA500 2395.

ND, not done.

FIGURE 2

FIGURE 2

Protein–protein interaction network. Up-regulated or down-regulated differentially expressed genes are indicated in red or green, respectively. The size of the node indicates multiple gene expression. The lines represent protein–protein interactions, including binding/association, phosphorylation, activation, and inhibition. Interaction networks of proteins encoded by between DEGs identified by transcriptome comparison between ΔphoU1 and wild type (A) and ΔphoU2 and wild type (B).

Verification of Metabolic Variation in phoU1 and phoU2 Deletion Mutants

Based on PPI analysis, we investigated the pathways of phosphate, carbon, and pyruvate metabolism using assays of Pi, polyP, glucose, pyruvate, and ATP, respectively.

PhoU homologs have been identified as phosphate-specific transport system accessory proteins. We quantified the Pi concentration of USA500 2395, ΔphoU1, and ΔphoU2 strains when grown in culture for 12 h. The intracellular Pi concentration of ΔphoU1 and ΔphoU2 was similar to that observed in USA500 2395 (Figure 3A). The intracellular polyP level was determined using a DAPI-based fluorescence approach. The ΔphoU2 mutant accumulated a significantly higher level of polyP (1.5-fold) than the parent strain after 12 h of growth (Figure 3B). The complemented strains of C-phoU2 exhibited restored intracellular polyP levels.

FIGURE 3

FIGURE 3

Intracellular Pi and polyP levels in ΔphoU1 and ΔphoU2 of Staphylococcus aureus. (A) Intracellular Pi. Bacteria were grown for 12 h; then, the cells were homogenized by OD600 and lysed with 0.1-mm glass-silica beads in a BeadBeater apparatus. Centrifugation to get the supernatant. The supernatant was used to measure OD650. Pi levels were determined according to the manufacturer’s instructions. (B) Intracellular polyP. Bacteria were grown for 12 h; then, the cells were homogenized by OD600 and incubated for 15 mins with 4’-6-diamidino-2-phenylindole. The fluorescence signal was determined at an excitation of 415 nm and an emission of 550 nm. The experiments were repeated three times, and error bars indicate the standard deviation. ΔphoU2 exhibited significant differences (**P < 0.01) when compared with the wild-type and the complemented strains (C-phoU2, *P < 0.05) in intracellular polyP. The complementation of ΔphoU1 or ΔphoU2 mutant was abbreviated as C-phoU1 or C-phoU2. The empty vectors of pCN51 transferred into the ΔphoU1 or ΔphoU2 mutant were named P-phoU1 or P-phoU2. n.s., no significance.

Glucose and pyruvate levels in the mutants ΔphoU1 and ΔphoU2 were determined using an Abcam assay kit after growth for 12 h. Our data indicated that the extracellular glucose levels of ΔphoU1 (68.05 ± 6.84) and ΔphoU2 (66.86 ± 8.34) were reduced when compared to those of USA500 2395 (182.93 ± 23.17; P < 0.01) (Figure 4A). The intracellular pyruvate level of ΔphoU1 (184.26 ± 15.70) and ΔphoU2 (109.3 ± 3.55) was significantly increased when compared to the parent strain (30.99 ± 6.11) (Figure 4B). The complemented strains of C-phoU1 exhibited restored glucose and pyruvate levels, but C-phoU2 had no difference with the wild-type strain.

FIGURE 4

FIGURE 4

Extracellular glucose, intracellular pyruvate, and ATP in ΔphoU1 and ΔphoU2 of Staphylococcus aureus. (A) Extracellular glucose. Bacteria were grown for 12 h, and then the culture supernatant was harvested. Fluorescence signal was determined at an excitation of 535 nm and an emission of 587 nm. (B) Intracellular pyruvate. Bacteria were grown for 12 h; then, the cells were homogenized by OD600 and lysed with 0.1-mm glass-silica beads in a BeadBeater apparatus. Centrifugation to get the supernatant. The fluorescence signal was determined at an excitation of 535 nm and an emission of 587 nm. (C) Intracellular ATP. Bacteria were grown for 12 h; then, the cells were homogenized by OD600 and added equal to the volume of BacTiter-GloTM Reagent. Luminescence was determined. The experiments were repeated three times, and error bars indicate the standard deviation. ΔphoU1 and ΔphoU2 exhibited significant differences (**P < 0.01) when compared with the wild type in extracellular glucose, intracellular pyruvate, and ATP. The complemented strains of C-phoU1 exhibited restored glucose, pyruvate, and ATP levels, and C-phoU2 exhibited restored ATP levels.

The intracellular ATP level of ΔphoU1 and ΔphoU2 after growth for 12 h was determined using a Promega BacTiter Glo kit. The results showed that the ΔphoU1 and ΔphoU2 mutant cells accumulated a significantly higher level of ATP (1.4-fold) than the parent strain (Figure 4C). The complemented strains of C-phoU1 and C-phoU2 exhibited restored ATP levels.

Influence of phoU1 and phoU2 Deletion Mutations on Virulence

The differentially expressed genes of the ΔphoU1 and ΔphoU2 mutants that were related to virulence, including the type VII secretion system operon (that promotes long-term bacterial persistence) and hemolysin, were investigated by assays of invasion and survival in A549 human lung epithelial cells and by measuring the activity and the expression of α-hemolysin in culture supernatants.

For S. aureus, which is an important opportunistic pathogen that causes community-acquired pneumonia, assays of invasion and survival were detected using A549 human lung epithelial cells as previously described (Liang et al., 2006; Sharma et al., 2013; Mechler et al., 2015). After culturing for 4 h (log phase) or 12 h (stationary phase), wild-type, ΔphoU1, and ΔphoU2 mutants were inoculated into A549 cells at a multiplicity of infection of 10:1. After incubation for 1 h, the viable bacterial count showed no significant difference between ΔphoU1, ΔphoU2, and USA500 2395, whereas after 24 h of incubation, the 4- or 12-h viable bacterial count of ΔphoU1 (4.079 ± 0.10 log10)/(3.65 ± 0.09 log10) and ΔphoU2 (3.90 ± 0.12 log10)/(3.53 ± 0.12 log10) showed 15–18% significant decrease compared with that observed in USA500 2395 (4.55 ± 0.18 log10)/(4.05 ± 0.03 log10) (Figure 5).

FIGURE 5

FIGURE 5

Invasion and intracellular survival of USA500 2395, ΔphoU1, and ΔphoU2 in the human lung epithelial cell line A549. Bacteria grown for 4 and 12 h were used to inoculate the A549 cells at a multiplicity of infection of 10:1. (A) Intracellular bacteria were counted for the colony-forming units after 1 h to determine the invasion capacity and (B) after 24 h to assay intracellular survival. The experiments were repeated three times, and error bars indicate the standard deviation. The 4- and 12-h-culture ΔphoU1 and ΔphoU2 exhibited significant differences (**P < 0.01; *P < 0.05) when compared with the wild type after 24 h of intracellular survival.

The hemolytic activity of the phoU homolog mutants at 12 h (stationary phase) was determined using rabbit erythrocytes. The α-hemolysin activity of ΔphoU2 (94.02%), was significantly enhanced compared with that of USA500 2395 (70.96%) (P < 0.01), whereas the α-hemolysin activity of ΔphoU1 (66.25%) was lower than that in USA500 2395 (70.96%) (Figure 6A). Western blot analysis indicated that the α-hemolysin levels in ΔphoU2 were significantly higher than in USA500 2395; however, no significant difference was found between the α-hemolysin level in ΔphoU1 and USA500 2395 (Figure 6B). Complementation of the ΔphoU1 and ΔphoU2 mutants restored the expression and the activity of α-hemolysin to the wild type’s level.

FIGURE 6

FIGURE 6

Extracellular alpha-hemolysin activity and secretion of USA500 2395, ΔphoU1, and ΔphoU2. Bacteria were grown for 12 h; then, the culture supernatant was harvested and filtered through a 0.22 μm filter. (A) Extracellular alpha-hemolysin activity. The supernatant was added equal to the volume of 1% of rabbit erythrocytes and then incubated at 37°C for 30 min, followed by centrifugation to obtain the supernatant. The supernatant was used to measure OD550; 0.1% triton X-100 served as the 100% hemolysis control (positive control), and 1 × phosphate-buffered saline was the negative control. (B) Western blot analysis of extracellular alpha-hemolysin. The experiments were repeated three times, and error bars indicate the standard deviation. ΔphoU2 exhibited significant differences (**P < 0.01) when compared with the wild-type and the complemented strain C-phoU2. The complementation of ΔphoU1 or ΔphoU2 mutant was abbreviated as C-phoU1 or C-phoU2. The empty vector of pCN51 transferred into the ΔphoU1 or ΔphoU2 mutant was named P-phoU1 or P-phoU2.

Discussion

PhoU is a negative regulator of persister formation in most bacteria (Li and Zhang, 2007; Shi and Zhang, 2010). Mounting evidence has indicated the species-specific functions of PhoU homologs in bacteria; however, the impact of these proteins on bacterial growth, persister production, biofilm formation, and virulence of S. aureus is poorly understood. In this study, deletion of either phoU1or phoU2 of S. aureus resulted in persister reduction in the presence of antibiotics (vancomycin or levofloxacin). The reduced persister formation in the ΔphoU1 and ΔphoU2 mutants is not due to a decreased intrinsic resistance to antibiotics as the MIC/MBCs of mutants show no change in antibiotic susceptibility tests. Our results suggest that both phoU1 and phoU2 are required for antibiotic tolerance in S. aureus, whereas a previous study showed that phoU2, but not phoU1, deletion resulted in persister reduction in S. epidermidis (Wang et al., 2017). Inactivation of phoU in E. coli and P. aeruginosa has been shown to reduce antibiotic susceptibility and persister formation (Li and Zhang, 2007; de Almeida et al., 2015). Deletion of phoY2 in M. tuberculosis H37Rv increased the susceptibility to pyrazinamide and rifampicin and reduced persister formation (Shi and Zhang, 2010). However, single deletions of phoY1 and phoY2 mutants of the M. tuberculosis Erdman strain showed no impact on drug susceptibility and persister formation (Namugenyi et al., 2017). By comparison, the double-deletion phoY1 and phoY2 mutants in the M. tuberculosis Erdman strain exhibited a decrease in persister formation and specifically enhanced the susceptibility to rifampicin, but not to other antimycobacterial drugs. Growth curve and survival assays were both measured in the presence of the cell wall-disrupting detergent sodium dodecyl sulfate and the reactive oxygen hydrogen peroxide (H2O2). Our results suggest that both phoU1 and phoU2 are required for resistance to SDS and H2O2 in S. aureus. Inactivation of phoU in E. coli, P. aeruginosa, and S. epidermidis has been shown to reduce tolerance to H2O2. This suggests that the functions and the regulatory mechanisms of phoU homologs in relation to antimicrobial susceptibility and persister formation are distinct in different bacteria.

Persisters are often slow growing or non-growing with reduced metabolism (Maisonneuve and Gerdes, 2014; Prax and Bertram, 2014; Cabral et al., 2018; Kaldalu and Tenson, 2019). Deletion of phoU in E. coli and P. aeruginosa slowed the growth rates but increased the metabolism (Li and Zhang, 2007; de Almeida et al., 2015). Single ΔphoY1 or ΔphoY2 mutants of M. tuberculosis had no significant effects on bacterial growth but decreased the viable bacteria count of ΔphoY1ΔphoY2 double mutant at the stationary phase (Wang et al., 2013; Namugenyi et al., 2017). The S. epidermidis phoU2 deletion resulted in growth retardation, whereas the present study demonstrated that the growth curve and the viable bacterial count of S. aureus ΔphoU1 and ΔphoU2 were the same as that of the parent strain, which were confirmed by silenced phoU1 or phoU2 in USA500 2395, USA300, and SA113 strains (Supplementary Figure S2).

The mechanisms of persister formation are complex. Intracellular polyP level is associated with antibiotic tolerance and persister formation. PolyP accumulation has been associated with increased persister frequency in both E. coli and M. tuberculosis (Thayil et al., 2011; Singh et al., 2013; Chuang et al., 2015; Germain et al., 2015). Differently, the enhanced polyP accumulation, resulting from the inactivation or the deletion of phoU in M. tuberculosis, E. coli, P. aeruginosa, or S. epidermidis, was accompanied by a decreased sensitivity to antibiotics and persister generation (Morohoshi et al., 2002; Li and Zhang, 2007; de Almeida et al., 2015; Namugenyi et al., 2017; Wang et al., 2017). These data were consistent with our current study in terms of intracellular polyP accumulation and persister generation reduction in the ΔphoU1 and the ΔphoU2 strains of S. aureus.

The bacterial metabolic state is a major determinant of persister. This view can be used to explain the bacteria in the biofilm. Cells in the periphery of the biofilm, where metabolic activity is highest, indicate that antibiotic efficacy is highest. The cells in the center of the biofilm exhibit a marked dormancy and low antibiotic efficiency (Walters et al., 2003). Another example is starvation stress, which induces changes in the expression of metabolic pathways such as energy metabolism, amino acid metabolism, and lipid metabolism, while long-term starvation of M. tuberculosis reduces susceptibility to rifampicin, isoniazid, and metronidazole (Betts et al., 2002). Most antibiotics, such as quinolones, aminoglycosides, and β-lactams, kill bacteria by corrupting targets which are energy dependent. Quinolones inhibit the ligase activity of gyrase and topoisomerase and release DNA with single- and double-strand breaks that lead to cell death (Hooper, 2001). Aminoglycoside acts by producing toxic misfolded peptides (Davis, 1987). Beta-lactams exert their antibacterial effect by irreversibly binding to the Ser residue of the penicillin-binding protein active site, forcing a futile cycle of peptidoglycan synthesis (Cho et al., 2014). Those targets require ATP to function. Recent studies showed that lowering intracellular ATP with arsenate treatment could increase the level of persister formation in E. coli and S. aureus under fluoroquinolones (Conlon et al., 2016; Shan et al., 2017). Persister formation is associated with ATP depletion in E. coli and S. aureus (Conlon et al., 2016; Shan et al., 2017). ATP can be produced by multiple cellular pathways, including oxidative phosphorylation, ATP synthase, and polyP, which can be converted to ATP (Resnick and Zehnder, 2000; Bonora et al., 2012). The change of metabolism pathways may be an association with various factors, and more comprehensive considerations are required. Hence, the results of metabolic products would become more convincing. Our result showed that the S. aureus ΔphoU1 or ΔphoU2 mutant decreased the level of persister formation by hyperactive carbon metabolism (decreased extracellular glucose and intracellular pyruvate) accompanied by increasing intracellular ATP. In the S. aureus ΔphoU1 mutant, the transcriptome analysis revealed that 26 genes up-regulated by twofold and three genes down-regulated by two- to threefold, identified to be involved in carbon, pyruvate, and glycolysis metabolism, consistent with the hyperactive carbon metabolism and increasing intracellular ATP. In the S. aureus ΔphoU2 mutant, our analysis showed that 13 genes up-regulated by three- to 24-fold of transported phosphate. The increasing intracellular polyP was consistent with the high intracellular ATP content in the ΔphoU2 mutant. However, three genes (D-lactate dehydrogenase, pyruvate formate lyase, and alcohol dehydrogenase) were up-regulated by threefold and 10 genes were down-regulated by twofold in carbon, pyruvate, and glycolysis metabolism. Lactate dehydrogenase (catalyzes the interconversion of pyruvate and lactate), pyruvate formate lyase (regulates the formation of acetyl-CoA, which is important in the production of energy), and alcohol dehydrogenase (converts pyruvate to acetaldehyde and involved in the production of ATP) play an important part in carbon, pyruvate, and glycolysis metabolism (Garvie, 1980; Lamed and Zeikus, 1981; Hasona et al., 2004). It is possible that the result of the ΔphoU2 mutant presented decreased extracellular glucose and intracellular pyruvate (Wang et al., 2017). Those results suggest that, in S. aureus ΔphoU1 or ΔphoU2, decreased tolerance to antibiotics or stresses of SDS and H2O2 may be associated with higher levels of carbon metabolism and intracellular ATP. Complementary strains C-phoU1, C-phoU2, and C-phoU1phoU2 restored the majority of phenotypes, and only the C-phoU2 strains failed to restore the phenotypes of glucose and pyruvate, indicating that the results were not due to a secondary mutation elsewhere on the chromosome. The reason may be due to the PhoU, a global metabolic repressor. Regulation has a dual function which is reflected in the induced response to phosphate limitation but also inhibited when Pi is in excess (Gardner et al., 2014; Lubin et al., 2015; diCenzo et al., 2017). The expression of the phoU1 or the phoU2 in the complementary strains C-phoU1 and C-phoU2 were around three- or fivefold higher than that in the wild-type strain. Excessive phoU2 expression may cause diminished compensation function in glucose and pyruvate phenotypes. This may not be a unique reason as bacteria have a complex metabolism regulatory system and thus need further study.

The intracellular invasion and the survival rates of S. aureus are crucial for the pathogenicity of chronic infection (Rollin et al., 2017; Tan et al., 2019). Several virulence factors play a critical role in the pathogenic procession. We found that either phoU1 or phoU2 is required for the intracellular survival of S. aureus in human lung epithelial A549 cells. In the method of invasion and intracellular survival assays, gentamicin (10 μg/ml) was added in the culture medium to restrict the extracellular growth of bacteria when S. aureus and A549 cells were co-incubated. Gentamicin and erythromycin may have an antagonizing effect (Penn et al., 1982), so we could not perform the invasion and the intracellular survival assays on the complemented strains of C-phoU1 and C-phoU2. However, a previous report, as a piece of supporting evidence, showed that a single-point mutation in pitA (downstream of phoU2) resulted in a decrease in the intracellular survival of S. aureus in human epithelial cells (Mechler et al., 2015). The deletion of phoU1 or phoU2 in S. aureus resulted in the down-regulation of multiple virulence systems, including the type VII secretion system, serine protease, and leucocidin, which could explain the decreased survival of the phoU1 and the phoU2 mutants.

The α-hemolysin is a major virulence factor in S. aureus infections (Kebaier et al., 2012; Vandenesch et al., 2012). We observed that the α-hemolysin activity and its expression were increased in ΔphoU2, while there was no effect noted in ΔphoU1. This suggests that phoU2, but not phoU1, is a negative regulator of α-hemolysin. However, the transcription of α-hemolysin in ΔphoU2 was reduced after 12 h of growth when assessed by RNA-Seq and RT-PCR.

The virulence regulation mechanisms of S. aureus are very complex (Bronner et al., 2004). The virulence regulatory systems include two-component systems, including AgrAC, SaeRS, ArlRS, etc., and the global regulator, including cytoplasmic SarA-family, CodY, Rot, etc. (Haag and Bagnoli, 2017). Among them, AgrAC, SarA, and SaeRS are positive regulators, whereas CodY and Rot are negative regulators of virulence genes (Pragman and Schlievert, 2004). The deletion of phoU1 resulted in a decreasing expression of sarA and saeS and increasing expressions of codY. The deletion of phoU2 resulted in decreasing expressions of sarA family (sarA, sarR, and sarZ), codY, and rot and an increasing expression of phoRP, the function of which is unknown. Therefore, the regulatory mechanisms of phoU1 and phoU2 in relation to virulence require further study.

S. aureus biofilm formation also plays an important role in persister production during chronic infections (Archer et al., 2011; Conlon, 2014). S. aureus SA113 is a biofilm positive strain characterized by rsbU, tcaR, and agr mutants (Herbert et al., 2010). Our results showed that silencing phoU2, but not phoU1, can reduce biofilm formation in the S. aureus SA113 strain (Supplementary Figure S3). This is consistent with the previous finding in S. epidermidis that PhoU2, but not PhoU1, is an important regulator of biofilm formation.

In summary, both PhoU1 and PhoU2 of S. aureus regulate persister generation and bacterial virulence. The deletion of phoU1 or phoU2 of S. aureus resulted in a decrease in intracellular bacterial survival rate in human epithelial cells by down-regulation of multiple virulence factors, including the type VII secretion system, serine protease, and leucocidin. In a follow-up work, the double mutant of ΔphoU1ΔphoU2 was constructed, and the metabolic variation was similar to the single mutant in extracellular glucose, intracellular pyruvate, ATP, and intracellular polyP levels (Supplementary Figure S5). The results in S. aureus are different from what we have previously found in S. epidermidis, where only PhoU2 regulates biofilm and persister formation. In S. aureus, transcriptome analysis revealed that 573 or 285 genes were differentially expressed in the ΔphoU1 or the ΔphoU2 mutant vs the wild type. In S. epidermidis, deletion of phoU1 just led to 92 differentially expressed genes, while deletion of phoU2 could result in 945 differentially expressed genes (Wang et al., 2017). In S. aureus, both phoU1 and phoU2 regulate virulence by the global regulator (sarA, rot, and codY) and persister generation by the hyperactive carbon metabolism accompanied by increasing intracellular ATP. In the S. epidermidis ΔphoU2 mutant, the reduction of biofilm and persister can be explained by the down-regulated expression of several important genes involved in growth (including yycFG, rsuU, pflA, and nrdD) and increased ATP by up-regulated ATP synthase (Dubrac et al., 2008; Wang et al., 2017). In the previous studies, we found that the regulatory mechanisms of some global regulators (SaeRS, YycFG, SrrAB, and ArlRS) have different roles between S. aureus and S. epidermidis (Lou et al., 2011; Wu et al., 2012, 2015; Xu et al., 2017). These observations hint that different mechanisms occur in the regulation of S. aureus and S. epidermidis, even though they belong to the staphylococcus. Therefore, the different regulation mechanisms of PhoU homologs in S. aureus and S. epidermidis warrant further investigation in the future.

Statements

Data availability statement

All datasets generated for this study are included in the article/Supplementary Material.

Author contributions

DQ, YZ, and ZY designed the research. YS, XW, and ZC participated in most of the experiments. ZLy, ZLi, JZ, YW, and QD analyzed the data. YS drafted the manuscript. DQ, YZ, and ZY revised the manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (81871622, 81271791, 81571955, 81671982, and 81991532), the National Major Scientific and Technological Projects in “Infectious Disease” (2018ZX10734401), “Development of Key Technologies and Drugs for the Prevention of Drug-Resistant Bacteria” (2019ZX09721001), and “Research on Biosafety Technology of High-Level Biosafety Laboratory and Important Pathogen Laboratory” (2018ZX10734401-04), and the Sanming Project of Medicine in Shenzhen (SMGC201705029).

Acknowledgments

We gratefully acknowledge Dr. Tao Xu (Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China) for his suggestions on the gene knockout.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2020.00865/full#supplementary-material

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Summary

Keywords

persisters, PhoU homolog, Staphylococcus aureus, virulence, phosphate metabolism, ATP

Citation

Shang Y, Wang X, Chen Z, Lyu Z, Lin Z, Zheng J, Wu Y, Deng Q, Yu Z, Zhang Y and Qu D (2020) Staphylococcus aureus PhoU Homologs Regulate Persister Formation and Virulence. Front. Microbiol. 11:865. doi: 10.3389/fmicb.2020.00865

Received

30 October 2019

Accepted

14 April 2020

Published

26 May 2020

Volume

11 - 2020

Edited by

Hui Wu, University of Alabama at Birmingham, United States

Reviewed by

Friedrich Götz, University of Tübingen, Germany; Yu-Min Chuang, Yale University, United States

Updates

Copyright

*Correspondence: Zhijian Yu, Ying Zhang, Di Qu,

These authors have contributed equally to this work

This article was submitted to Infectious Diseases, a section of the journal Frontiers in Microbiology

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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