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ORIGINAL RESEARCH article

Front. Cell. Infect. Microbiol., 13 February 2023
Sec. Molecular Bacterial Pathogenesis

Comparative analysis of five type II TA systems identified in Pseudomonas aeruginosa reveals their contributions to persistence and intracellular survival

  • 1College of Life Science, Sichuan Normal University, Chengdu, China
  • 2Division of Infectious Diseases, State Key Laboratory of Biotherapy and Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China

Background: Pseudomonas aeruginosa is a grave nosocomial pathogen that persistently inhabits the lungs of patients with cystic fibrosis (CF) and causes various chronic infections. The bacterial toxin–antitoxin (TA) system is associated with latent and long-term infections, but the underlying mechanisms remain to be fully characterized.

Methods: We here investigated the diversity and function of five genomic type II TA systems widely distributed among P. aeruginosa clinical isolates. We also examined the distinct structural features of the toxin protein from different TA systems and characterized their contributions to persistence, invasion ability, and intracellular infection caused by P. aeruginosa.

Results: ParDE, PA1030/PA1029, and HigBA could modulate persister cell formation under treatment with specific antibiotics. Furthermore, cell-based transcriptional and invasion assays revealed that PA1030/PA1029 and HigBA TA systems were critical for intracellular survival.

Discussion: Our results highlight the prevalence and diverse roles of type II TA systems in P. aeruginosa and evaluate the possibility of using PA1030/PA1029 and HigBA TA pairs as targets for novel antibiotic treatments.

Introduction

Pseudomonas aeruginosa is a major gram-negative opportunistic pathogen that can cause fatal infections in immunocompromised patients (Lyczak et al., 2000; Wu et al., 2015). It has specifically evolved to acclimatize to stressful environmental conditions and is frequently isolated from patients with burn infection and nosocomial pneumonia (Sato et al., 1988). P. aeruginosa infections may eventually establish and develop into serious life-threatening diseases such as ventilator-associated pneumonia and cystic fibrosis (CF) (Lyczak et al., 2000). P. aeruginosa has developed resistance to various antibiotics and has therefore been declared as one among the ESKAPE bacteria (together with Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, and Acinetobacter baumannii), which are listed as critical priority pathogens by the World Health Organization (Qin et al., 2022). Conventional treatment of P. aeruginosa infection is extremely difficult because P. aeruginosa develops resistance to antibiotics through the formation of persister cells, a transient dormant state for surviving at above lethal antibiotic concentrations without acquiring resistance-related mutations (Mulcahy et al., 2010). Therefore, studying the mechanism of persister formation could facilitate new drug development against P. aeruginosa infection and reduce the emergence of multidrug-resistant strains.

While multiple pathways, including general stress response, DNA repair, energy metabolism alteration, post-transcriptional regulation, and protein level modification, have been considered to be related to the bacterial persistence mechanism, increasing evidence has suggested that the bacterial toxin–antitoxin (TA) system plays key roles in persister formation (Wang and Wood, 2011; Fasani and Savageau, 2013). A typical TA system consists of a stable toxin that causes growth arrest by interfering with vital processes and a cognate antitoxin that confers immunity to the toxin protein/RNA (Fraikin et al., 2020). Until now, according to the primary sequence of the toxins and their action mode, I–VIII TA systems have been classified (Jurėnas et al., 2022). Among them, type II TA systems are the most diverse and extensively studied. The toxin/antitoxin pair from the type II TA family are typical proteins tightly associated with the TA complex under non-stress conditions, in which the antitoxin acts as a translational repressor by binding at the upstream of TA loci (Kamruzzaman et al., 2021). Stress-induced antitoxin degradation could release the cognate toxin, which then inhibits diverse essential cellular processes, thereby leading to bacterial death for protecting the cell population or to bacterial persistence. In general, the type II TA system is a crucial strategy for enhancing stress tolerance and is recognized as a promising therapeutic target against antibiotic-resistant pathogenic bacteria (Alonso, 2021). While the emergence of novel TA members and reports regarding new type II TA functions suggest that many unknown mechanisms remain to be explored.

According to the TADB 2.0 database, five pairs of type II TA cassettes have been identified in the P. aeruginosa PAO1 genome: PA0124/PA0123 (denoted as ParDE, par operon in the RK2 plasmid), PA4674.1/PA4674 (denoted as HigBA, host inhibition of growth), PA1030/PA1029, PA1878/PA1879, and PA3270/PA3269 (Xie et al., 2018). The increase in their expression levels were associated with ciprofloxacin- and colistin-induced persister cell formation by P. aeruginosa isolates (Golmoradi Zadeh et al., 2022). The toxin ParE protects P. aeruginosa against the quinolone and other antibiotics by inhibiting gyrase-mediated DNA supercoiling, while higher ParE concentrations are also themselves toxic to cells (Muthuramalingam et al., 2019). Although both ParE and HigB belong to the RelE/ParE superfamily and adapt similar folds, HigB functions as an endonuclease-type toxin that cleaves ribosome-bound mRNAs (Wood and Wood, 2016). Evidence has revealed that HigB contributes to persister formation under ciprofloxacin treatment and upregulates the expression of type III secretion system (T3SS) genes (Li et al., 2016). The toxin PA1030 is a putative NAD+ phosphorylase having the classical (R-E-S) active site (Zhou et al., 2021). By contrast, although PA1878 and PA3270 have been classified into VapC and GNAT families, respectively, little is known about their catalytic sites and functions. Regarding cellular functions, through experiments, HigB alone has been shown to be involved in pyoverdine synthesis, biofilm formation, and bacterial infection (Wood and Wood, 2016).

We here explored the prevalence and biological function of the five genomic type II TA systems by using a combination of biochemical, structural biology, and microbiological methods. The results revealed that, except for HigBA, all other type II TA systems are normally conserved in 4955 P. aeruginosa clinical isolates, and the higB gene is lost in nearly a quarter of the strains. Overexpression of any single toxin alone would cause rapid growth arrest, whereas mutations in active sites could significantly reduce their toxic effects. With meropenem or cephalosporin treatment, ParDE, PA1030/PA1029, and HigBA modulated persister formation. Furthermore, cell-based transcriptional and invasion assays revealed that PA1030/PA1029 and HigBA TA systems were activated under conditions that closely mimicked the CF sputum and were critical for intracellular survival. This study characterized the different functions of the five genomic type II TAs in P. aeruginosa, particularly their discrete involvements or contributions to antibiotic resistance, bacterial persistence, and virulence. Understanding the details of these type II TA systems will offer new target genes that can be investigated further for developing better strategies to treat P. aeruginosa infection.

Materials and methods

Bacterial strains, medium, and growth conditions

The fragments of toxin and cognate antitoxin genes were amplified from P. aeruginosa PA14 genomic DNA and subcloned into the plasmid pRSFDuet-1 which has two multiple cloning sites (toxin for T7 promoter-1, antitoxin for T7 promoter-2). E. coli BL21 (DE3) hosts harboring pRSFDuet-based plasmids were cultured in Luria broth (LB) medium overnight, then the cells were reinoculated into fresh LB at OD600 = 0.1 and continued to cultivate at 37°C to different growth phases supplemented with 0.1 mM IPTG (Song et al., 2022). The cells were serially diluted and the dilutions were spotted on LB agar plates containing 0.1 mM IPTG. For MIC studies, overnight bacterial cultures of WT P. aeruginosa and mutants were re-inoculated into fresh M63 minimal medium supplemented with magnesium sulfate and arginine. For qRT-PCR and invasion studies, overnight bacterial cultures of WT P. aeruginosa and mutants were re-inoculated into fresh LB and grown to an OD600 of 1.0. All the bacteria strains and plasmids used in this study were detailed in Supporting Table S1.

Basic local alignment search of five type II TA systems within P. aeruginosa isolates

The basic information of TA loci and genes in P. aeruginosa PAO1 were obtained from TADB 2.0 database (https://bioinfo-mml.sjtu.edu.cn/TADB2/index.php) and the detailed amino acid sequences were collected from Uniprot (https://www.uniprot.org/). The DIAMOND BLASTX search tool was used to find the number and family of similar type II TA loci, for a total of 4955 P. aeruginosa isolates in Pseudomonas Genome database (https://www.pseudomonas.com/blast/setdiamondblastx). The E-value cut-off was set at 1e-12 with previously computationally and experimentally identified P. aeruginosa proteins, the query coverage and identity cut-off were set at 30% and 70%, respectively. The ORF files and gene assemblies of outcomes were also analyzed to remove false TA pairs.

Construction of P. aeruginosa deletion mutants

Briefly, the two-step allelic exchange method was used to construct P. aeruginosa mutant strains (Song et al., 2021b). The upstream (800 bp) and downstream (800 bp) fragments of toxin genes from the P. aeruginosa PA14 were subcloned into the suicide plasmid pEX18Gm. These vectors were first transformed into E. coli S17-1 and mobilized into P. aeruginosa PA14 through incubating with S17-1. The colonies were firstly screened in LB agar containing 50 µg/ml gentamicin and then in 10% sucrose agar by using sucrose-mediated counter-selection, and further identified by PCR. All the primers used in this work are listed in Table S2.

MBC-B determination

We used minimal bactericidal concentration of an antimicrobial agent for biofilm cells (MBC-B), an improved method based on MIC to mimic antibiotic treatments of established biofilm infections (Mah, 2014). Overnight bacterial cultures of WT P. aeruginosa and mutants were re-inoculated into fresh M63 minimal medium supplemented with magnesium sulfate and arginine at OD600 = 0.1, then the dilution was added in a 96-well microtiter dish for 24 h at 37°C. Prepare a 10 × dilution series of antibiotic for 7 wells, the initial concentrations of meropenem, tobramycin, azithromycin, gentamicin, ciprofloxacin, polymyxin B, cephalosporin are as follows: 0.1 mg/ml, 0.5 mg/ml, 0.5 mg/ml, 0.1 mg/ml, 1 mg/ml, 0.1 mg/ml, 0.1 mg/ml. The spent supernatant in wells was removed and refilled with 10 µl each antibiotic dilutions and 90 µl fresh M63 minimal medium for 24 h at 37°C. Next, the spent supernatant was removed and added 115 µl fresh M63 minimal medium for 24 h at 37°C. The MBC-B was determined by plating on LB agar plates for 16 h at 37°C.

Persistence assay

Persistence of P. aeruginosa was measured by time-dependent killing experiments as previously reported (Pinel-Marie et al., 2021). Overnight bacterial cultures of WT P. aeruginosa and mutants were re-inoculated into fresh LB medium at OD600 = 0.1 and grown to an OD600 of 1.0. Then the bacterial cultures were exposed to 50 µg/ml meropenem, 100 µg/ml cephalosporin, 5 µg/ml tobramycin or 5 µg/ml ciprofloxacin. Cell viability (CFU/ml) was determined by serial dilution and plating at the time points including 0, 4, 12, 24 and 36 hours. The plate was incubated at 37°C for 16 h before colony counting.

RNA preparation and qRT-PCR assays

Overnight bacterial cultures of WT P. aeruginosa grown in LB medium were re-inoculated into fresh SCFM at OD600 = 0.5 for next culture at 37°C for 0.5 or 1 h. Then the bacteria cultures were collected and the bacterial RNA was extracted by using Trizol (Invitrogen, USA) (Rio et al., 2010). As for bacterial RNA isolation from A549 cells, the A549 cells were seeded in a 6-well tissue culture plate and then were infected with P. aeruginosa PA14 at an MOI of 100 for 1 and 2 h, respectively (Song et al., 2021b). The A549 cells were treated with 1% Triton X-100 for 15 min, washed with PBS twice, and then treated with DNase for another 15 min. The bacteria were collected for RNA isolation. PrimeScript™ RT reagent Kit (TaKaRa, Beijing) was used to synthesize the cDNA and 2× ChamQ™SYBR®qPCR Master Mix (Vazyme, Nanjing) was used to perform qPCR assays. The detailed reaction system was 2 × ChamQ SYBR qPCR Master Mix (Without ROX) 10 μl, Primer 1 (10 μM) 0.4 μl, Primer 2 (10 μM) 0.4 μl, Template cDNA 1 μg and ddH2O up to 20 μl. The detailed qPCR procedure used in study was: stage 1 (95°C 30 seconds, repeat once), stage 2 (95°C 10 seconds, 60°C 30 seconds, repeat for 40 times) and stage 3 (95°C 15 seconds, 60°C 60 seconds, 95°C 15 seconds, repeat once). The oprL gene was used as a normalizer. All the primers used in this study were detailed in Supporting Table S3.

Cell adhesion and invasion assay

Briefly, The WT P. aeruginosa and mutants were grown to an OD600 at 0.6 and counted by serial dilution and plate counts (Song et al., 2021b). The A549 cells (obtained from ATCC) were seeded at 2 × 105 cells per well in a 24-well tissue culture plate and then infected with 1 × 106 cells of P. aeruginosa strains for 0.5 h, then the cells were washed three times with PBS and lysed by adding 0.5% Triton X-100 for serial dilution and plating on LB agar plates, sterile PBS as negative control. As for invasion assays, the P. aeruginosa strains were infected with cells at a MOI of 10 and kept for 1 h at 37°C. The cells were washed three times with PBS and incubated for another 2 h in DMEM containing gentamicin (150 μg/ml) to kill extracellular P. aeruginosa. Finally, the cells were washed with PBS, lysed in 0.5% Triton X-100, and then diluted with PBS for CFU counting on LB agar plates.

Macrophage uptake and intracellular survival

Intracellular survival assay was performed as previously reported (Helaine et al., 2014; Paul et al., 2022). The RAW264.7 macrophages were seeded at 2 × 105 density/well on a 24-well plate, and the P. aeruginosa strains were infected with cells at a MOI of 10 and cultured in DMEM for 16–18 h. The cells were washed with sterile PBS and cultured in fresh medium containing 100 μg/ml kanamycin for 2 h. Then the macrophage cells were lysed in 0.5% Triton X-100 for serial dilution and plating on LB agar plates. As for intracellular survival, the macrophage cells were lysed for serial dilution at 24 h post infection, then repeated the operation as above.

Results

Bioinformatics-based analysis of the genetic organization and intracellular networks of the widely distributed type II TAs in P. aeruginosa

The TADB 2.0 database is an up-to-date and useful resource for identifying and characterizing type II TA systems in bacteria and archaea (Xie et al., 2018). This database offers comprehensive information about the predicted and experimentally supported TA loci and allows comparative analysis of the given TA modules across relative genomes. TADB 2.0 has currently identified five pairs of type II TA systems in the chromosomes of the well-studied P. aeruginosa PAO1, PA7, and PA14. The localization of these systems in the complete PAO1 genome and related sequence information are presented in Supplementary Figure 1. Based on the comparative analysis, PA0124/PA1025, PA1878/PA1879, PA3270/PA3269, and PA4674.1/PA4674 were found to be homologous to the type II TA systems ParDE, VapBC, GNAT/Xre, and HigBA, respectively, whereas PA1030/PA1029 has not yet been characterized. To evaluate their presence across different clinical isolates, we used the DIAMOND BLASTX search tool (E-value cut-off 1e-12, 30% query coverage, and 70% identity cut-off) against the Pseudomonas Genome DataBase (Winsor et al., 2016). The results revealed that all available genomes of the 4955 P. aeruginosa isolates possess ParDE, PA1030/PA1029, PA1878/PA1879, and PA3270/PA3269 with high sequence identity (Table 1, Table S3), particularly the ParDE loci found in more than 4800 strains with >98% homology. The only exception is HigBA, in which the toxin gene higB is lost in 1731 strains, but its cognate antitoxin gene higA remains in all isolates and retains a high homology (4124 strains for identity ≥ 98%, and 820 strains for 70 ≤ identity < 98%). The divergent genetic evolution of higBA pair homologs has also been observed in A. aceti, A. persici, and Kozakia baliensis, in which higA is more reserved than higB. This suggests an additional regulatory role of the antitoxin (Xia et al., 2021). This result is consistent with that of our previous studies, which showed that HigA could act as a diverse repressor rather than just an antitoxin regulating extended genome regions and involving in more pathways (Song et al., 2021a).

TABLE 1
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Table 1 Screening genes homologous to type II TA of P. aeruginosa PAO1 among 4955 P. aeruginosa clinical isolates.

The promoter analysis performed using Softberry revealed that ParDE and PA1030/PA1029 form a “canonical” genetic organization, wherein the antitoxin gene is tightly adjacent to the downstream toxin gene for co-expression (Salamov and Solovyevand, 2011). Alternatively, the remaining three TA pairs adapt a “reverse” genetic arrangement with the antitoxin gene located at the downstream of the toxin gene (Figure 1A). This atypical assembly is usually combined with an additional promoter between the toxin and antitoxin (Fraikin et al., 2020). As expected, the operons of PA1878/PA1879, PA3270/PA3269, and HigBA all remain as second promoters (Figure 1A). This mechanism allows a more flexible regulation for overexpression of antitoxins to inhibit toxin expression under a normal condition.

FIGURE 1
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Figure 1 Genomic loci and link network of type II TA genes. (A) The operons of type II TA systems and relative promoters. The putative –35 and –10 regions of the two promoters are predicted by using Softberry online programs (http://linux1.softberry.com/) and underlined. (B) Network showing the interactions between toxin and other proteins, available in the STRING database. The parameter of interactive relationships among DEGs was set as high confidence > 0.7.

Additionally, we used the STRING database (version 11.5) to excavate the protein–protein interaction (PPI) of type II TAs from P. aeruginosa PAO1. The constructed networks reflect the potential pathways associated with these modules (Figure 1B) (Szklarczyk et al., 2021). When the parameter of interactive relationships among DEGs was set as high confidence > 0.7, the final PPI network consisted of 51 genes and 121 interlinks. Both PA3270 and PA1878 were interlinked with the arg operon, a cluster for arginine biosynthesis, and the PA0124 and PA1030 networks were linked through PA1765. Notably, the HigBA pair was separate from other TA systems and was mostly interlinked with proteases such as Lon and Clp, consistent with the previous study, which exhibited that the HigBA system is associated with Lon protease (Li et al., 2016). Moreover, ParE was involved in lipid biosynthesis and transport processes, and PA1030 was associated with flagellar biosynthesis and Arc1-3 clusters in defense against different threats. As a HD domain-containing protein that belongs to metal-dependent phosphohydrolase, PA1878 participates in alginate synthesis and oleate-diol synthase. In addition to hexosamine metabolism and arginine biosynthesis, PA3270 is also interlinked to the iron uptake transporter FecA, which is consistent with our previous study finding that PA3270 plays a vital role in iron uptake regulation (Song et al., 2022). Therefore, the network analysis revealed multiple functional roles of five TA systems in P. aeruginosa.

Structure modelling and comparative structural analyses describes the various features and evolutionary conservation of the selected type II toxins

Protein structure prediction is promising in understanding the molecular mechanism and biological activity of proteins. Currently, only ParE and PA3270 structures have been explained, and the understanding about the structures of other toxins is limited. To examine the common structural features and key residues of type II TA toxins, the AlphaFold database was used for quaternary structure modeling and deducing protein activity (Jumper et al., 2021). Based on the high sequence identity (31%–46%) with structures of available proteins including 4DW1, 4L1J, and 8F8S, respectively, the resultant models had a per-residue confidence score (pLDDT) of >90, which indicated very high-quality models.

Although ParE has a conserved secondary structure consistent with that of the RelE superfamily, it functions to inhibit gyrase-mediated DNA supercoiling rather than cleave mRNA (Muthuramalingam et al., 2019; Snead et al., 2021). Regarding its structure, ParE consists of two β-sheets and four α-helices, this helix-turn-helix motif is found in RelE-type toxins and comes in contact with ribosomal RNA Figure 2A). Although ParE exhibits a remarkable conservation of structure through superposition with the structures of the other known ParE family members, the sequence similarity is <31% and the catalytic residues in Escherichia coli ParE2 are absent in P. aeruginosa ParE. A comparison with the closest structural homolog from E. coli revealed that the possible active sites of P. aeruginosa ParE are T62, T64, S71, and V89.

FIGURE 2
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Figure 2 Overall structures of five toxins and their conserved catalysis motifs. (A) ParE, (B) PA1030, (C) PA1878, (D) PA 3270 and (E) HigB. The 3D structure models of PA1030, PA1878 and HigB are obtained from AlphaFold, whereas the structures of ParE (6XRW) and PA3270 (1YRE) are obtained from RCSB PDB. The mutant sites of toxins from isolates are labeled in sphere style, and the different colors represent mutation frequency. (A) Sequence alignment of the P. aeruginosa ParE, E coli ParE, Caulobacter vibrioides ParE and Mesorhizobium metalidurans ParE (B) Sequence alignment of the PA1030, M. tuberculosis Rv1989c, Pseudomonas jinjuensis A0A1H0AAW9, Methylocaldum marinum A0A250KUB3. (C) Sequence alignment of the PA1878, Homo sapiens HDDC2, Burkholderia sp A0A3N8LA50, and Lachnospiraceae bacterium A0A1H3YLD1. (D) Sequence alignment of PA3270, Pseudomonas jinjuensis A0A1H0A919, Pseudomonas flexibilis A0A0B3C4T8, Deinococcus ficus A0A221ST89, Thermus thermophilus Q5SHD1. (E) Sequence alignment of P. aeruginosa HigB, P. vulgaris HigB, Thermus thermophilus YoeB, Enterobacter cloacae HigB. The catalytic residues are indicated as sticks in secondary structure and highlighted (asterisk) in sequence alignment.

Similar to the Mycobacterium tuberculosis toxin MbcT, PA1030 is a new RES-type toxin that triggers persister formation by catalyzing NAD+ degradation (Zhou et al., 2021). PA1030 has a sandwich fold consisting of nine β strands connected by five α helices, while the central substrate-binding pocket is formed by three conserved residues R82, E104, and S184 (Figure 2B).

The PA1878 toxin has a HD domain that defines a superfamily of metal-dependent phosphohydrolases with a doublet of divalent-cation-coordinating His and Asp residues (Huynh et al., 2015). PA1878 folds into an all-helical structure that consists of seven α helices. In PA1878, two central parallel helices interact with other helices located on both sides, and the HD motif is located in the core segment. The arrangement of HD domain helices is such that a large depression is formed on one face of the structure, where the potential metal ions and substrates are bound. Based on the structure of the human HD protein, we noted that the conserved residues including H39, H69, D70, D78, and D135 are potential catalytic sites for interaction with two metal ions.

PA3270 encodes an acetyltransferase belonging to the GCN5-related N-acetyltransferase (GNAT) family and exhibits a conserved GNAT fold with a unique motif (T-X-L-X5-G-X-G) for acetyl coenzyme A binding (Figure 2D) (Song et al., 2022). Overall, PA3270 consists central, mixed β sheets besieged by two or three α helices on each side. This structure resembles that of its homologous AtaT from E. coli, TacT from Salmonella, and KacT from K. pneumoniae.

The ribosome-dependent endonuclease HigB has a similar fold as the RelE family that cleaves ribosome-bound mRNAs in response to stress (Figure 2E). Overall, HigB is formed by three β sheets and three α helices, whereas its C-terminal residues D90, Y91, and H92 are essential for recognizing the ribosomal A site based on the complex of the ribosome-bound Proteus vulgaris HigB (Mansour et al., 2022).

Intriguingly, the mutation analysis revealed that most mutant sites were located on the toxin’s surface far away from the active centers, whereas the key residues in active pockets were extremely conserved among the isolates (Figure 2). Consequently, the essential roles of bacterial toxins are retained, leading to tolerance to more mutations without affecting the native functions. Moreover, the high mutation rate on the toxin’s surface suggests that the TA interaction as well as the toxin targets may be distinct in P. aeruginosa isolates.

To further assess the toxicity of the five potential TA pairs as well as their key residues, we repeated neutralization assays in E. coli strains. In these strains, the toxin and antitoxin genes were cloned into the pRSFDuet-1 plasmid to construct overexpression systems. Cells expressing different toxins led to a notable decrease in cell growth, whereas cell growth was not affected by the expression of mutated toxins or co-expression of cognate antitoxins (Figures 3A, B). In addition, ParE and HigB belonging to the RelE/ParE family led to faster growth inhibition than other toxins (Figure 3A), possibly because of the direct interference at the post-transcriptional level. Collectively, according to these results, the five TA systems are widely distributed among P. aeruginosa clinical isolates and the conserved active residues of toxins are crucial for full activities.

FIGURE 3
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Figure 3 Toxicity assays of toxins and their cognate antitoxins. (A) Expression of the toxin causes notable growth arrest of E coli, and the cognate antitoxin can neutralize the toxic effects. Overnight cultures of E coli BL21 (DE3) harboring pRSFDuet-1 -based plasmids with toxin, antitoxin or mutant toxin genes were reinoculated into fresh LB at OD600 = 0.05. After 1 h, the cultures were added by 0.1 mM IPTG and continued to cultivate at 37°C for growth detection. (B) After 8 h growth in (A), the cultures were also serially diluted and spotted on LB plates at 37°C for 16 h before colony counting. The detailed mutations about toxins are ParE (T62/A, T64/A, S71/A, V89/A), PA1030 (R82/A, E104/A, S184/A), PA1878 (H39/A, H69/A, D70/A), PA3270 (G108/A, T100/A), HigB (H92/A) referring to the key resides of toxins in Figure 2. The experiments were repeated three times.

Toxins ParE, PA1030 and HigB are important for the antibiotic-induced persistence

Recent evidence has demonstrated that some type II TA systems would be activated with antibiotic treatments, and the expression levels of toxins are related to persister cell formation and therefore their evaluation would be beneficial (Li et al., 2016; Kamruzzaman et al., 2021; Song et al., 2021a). For instance, higBA operon expression was induced to trigger persister formation with ciprofloxacin treatment (Li et al., 2016). We next asked determined whether the five TA systems contributed to antibiotic resistance. Strains with toxin gene deletion were constructed, and MBC-B assays were conducted to detect resistance to antibiotics commonly used in clinical therapy against P. aeruginosa infections, including meropenem, tobramycin, azithromycin, gentamicin, ciprofloxacin, polymyxin B, and cephalosporin. The results showed no significant difference between the mutants and WT strains in all antibiotic treatments (Table S4), indicating no direct contribution of these TA pairs to antibiotic resistance.

Persister cells are formed at high lethal concentrations of antibiotics, and type II TA systems are primarily responsible for inducing a dormancy state to enable cells to escape the effects of antibiotics (Mulcahy et al., 2010; Wang and Wood, 2011). Therefore, we examined the role of toxins in P. aeruginosa tolerance and persistence by challenging the WT and mutant strains with 50 µg/ml meropenem, 100 µg/ml cephalosporin, 5 µg/ml tobramycin or 5 µg/ml ciprofloxacin (Figure 4). As evidenced by the biphasic killing curve with a subpopulation of surviving persisters, parE, PA1030, and higB deletion reduced the bacterial survival rate by approximately 80-fold after meropenem treatment compared to the WT strains, whereas PA1878 and PA3270 deletion had no effect on bacterial survival rates under these antibiotic treatments (Figure 4A). In addition, similar results were observed under cephalosporin and other antibiotic treatments (Figures 4B–C, D). These results thus suggest the crucial roles of parE, PA1030, and higB in persister formation against antibiotics.

FIGURE 4
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Figure 4 The ParE, PA1030, and HigB toxins increase the levels of antibiotic-tolerant persisters in P. aeruginosa. Overnight bacterial cultures of WT P. aeruginosa and mutants were re-inoculated into fresh LB medium at OD600 = 0.1 and grown to an OD600 of 1.0. Then the bacterial cultures were exposed to 50 µg/ml meropenem (A), 100 µg/ml cephalosporin (B), 5 µg/mL tobramycin (C) and 5 µg/mL ciprofloxacin (D). Cell viability (CFU/ml) was determined by serial dilution and plating at the time points. The plate was incubated at 37°C for 16 h before colony counting. The results are shown as time-kill curves and expressed as the means ± s.d. of 3 independent experiments (n = 3). Statistical significance was calculated with a two-tailed unpaired t-test. *p < 0.05; **p < 0.01 compared to survival of the WT strain at 36 h.

Gene expression profiling of the type II TA modules in Pseudomonas aeruginosa cultured in SCFM or during cellular infection

Studies involving both in vitro and in vivo approaches are of the opinion that the type II TA system is required for stress responses and benefits pathogenesis within bacteria (Fraikin et al., 2020; Równicki et al., 2020; Song et al., 2022). VapBC from M. tuberculosis and Hma-TomB from S. Typhimurium could modulate the host immune response to evade killing by the immune system (Agarwal et al., 2020). Being an opportunistic pathogen, P. aeruginosa must colonize the sputum (mucus) layer of the CF lung to obtain carbon and energy for future proliferation during chronic infection (Davies, 2002). To address the roles played by TA systems during chronic colonization, we conducted qRT-PCR experiments to measure the gene expression levels of the five TA operons in the synthetic CF sputum medium (SCFM) that mimics the nutritional composition of the CF sputum (Palmer et al., 2007). The gene expression of PA1030, PA1878, and higB was 2.8-, 2.2-, and 4.1-fold upregulated at 0.5 h and 4.9-, 3.1-, and 7.4-fold upregulated at 1 h in the SCFM relative to the initial stage, respectively (Figure 5A). The gene expression of the cognate toxin was also significantly upregulated in the SCFM (Figure 5B). Additionally, the gene expression of parE, PA3270, and their antitoxins exhibited no obvious upregulation or downregulation.

FIGURE 5
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Figure 5 The PA1030, PA1878 and higB are activated in SCFM medium and cell adhesion process. Relative mRNA levels of toxins (A) and antitoxins (B) in SCFM. Overnight bacterial cultures of WT P. aeruginosa grown in LB medium were re-inoculated into fresh SCFM at OD600 = 0.5 for next culture at 37°C for 0.5 or 1 h. Then the bacteria cultures were collected and the bacterial RNA was extracted for qRT-PCR assays. (C) Relative gene expression levels of PA1030, PA1878, higB and their cognate antitoxins in bacterial infection upon A549 cells. The A549 cells were seeded in a 6-well tissue culture plate and then were infected with P. aeruginosa PA14 at an MOI of 100 for 1 and 2 h, respectively. The A549 cells were treated with 1% Triton X-100 for 15 min, washed with PBS twice, and then treated with DNase for another 15 min. The bacteria were collected for RNA isolation and qRT-PCR. *p < 0.05; **p < 0.01; ***p < 0.001 by Student’s t-test. ns indicates no significant difference.

To further quantify whether these TA systems would be activated during invasion, we isolated total bacterial RNA from the human alveolar type II epithelial cells (A549) after P. aeruginosa infection for 1 or 2 h and then subjected it to qRT-PCR. Compared with those in the sterile PBS buffer-treated bacteria, the expression levels of PA1030, PA1878, and higB were increased by 2.6-, 2.4-, and 3.45-fold at 1 h post-infection, respectively (Figure 5C). At 2 h post-infection, PA1030, PA1878, and higB exhibited 2.97-, 4.8-, and 8.85-fold increases, respectively (Figure 5C). Expression levels of the cognate toxin genes including PA1029 and PA1879 were also upregulated. Therefore, our results indicated that PA1030/PA1029, PA1878/PA1879, and HigBA systems are activated both in the SCFM medium and during infection.

Toxins PA1030 and HigB contribute to the bacterial intracellular survival in macrophages

The activated toxin of the TA system in pathogens such as S. typhimurium and M. tuberculosis may aid the spread of non-replicating persister cells and intracellular survival within the host intracellular milieu (Lobato-Márquez et al., 2015; Agarwal et al., 2020). Because PA1030, PA1878, and higB were activated during invasion, we studied the roles of TA systems in invasion and intracellular survival. For this purpose, the A549 cells were infected with P. aeruginosa WT and mutant strains and lysed for bacterial cell counting. The mutants showed no significant difference in their adhesion ability to epithelial cells, whereas the ΔhigB strain (52.7%) exhibited significantly reduced invasion compared with the WT strain (Figures 6A, B). Studies have proven that higB is required for upregulating T3SS-associated effectors. This may explain the attenuation of the invasion ability with higB deletion.

FIGURE 6
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Figure 6 Adhesion and invasion in epithelial cell A549 and Macrophage uptake and survival assay of WT P. aeruginosa and mutants. (A) Adhesion and (B) Invasion assay of WT and mutants in human alveolar type II epithelial cell A549. (C) Uptake and (D) % Survival of WT and mutants in RAW264.7 macrophages. Sterile PBS served as negative control. All experiments were performed in triplicates and error bars represent error of the mean (±) for SD. *p < 0.05; **p < 0.01; ***p < 0.001 by One-way ANOVA statistical test. ns indicates no significant difference.

Given that macrophages are among the first lines of defense against microbial invasion in the lower airways, the mutant and WT strains were also assessed in uptake and survival assays within RAW264.7 murine macrophage cells (Kooguchi et al., 1998). Toxin gene deletion had no effect on uptake by macrophages compared with WT at 2 h post-infection. However, intracellular survival was significantly reduced in the ΔhigB (63.2%) and ΔPA1030 (57.8%) strains at 24 h post-infection (Figures 6C, D), indicating the positive roles of HigB and PA1030 in macrophage defense. Overall, these results confirmed the pivotal role played by PA1030/PA1029 and HigBA TA systems in P. aeruginosa virulence and emphasized that PA1030 and HigB can act as potential targets for infection treatments.

Discussion

P. aeruginosa is an emerging opportunistic pathogen and is ranked fourth in total clinical isolates according to the 2021 data from the China Antimicrobial Surveillance Network (CHINET) (Feng et al., 2021; Tenover et al., 2022). The survival of P. aeruginosa persisters in the presence of antibiotics is believed to be among the primary reasons for most clinical isolates to exhibit high resistance to antibiotics (Mulcahy et al., 2010). The type II TA system has been reported to be a vital player in persister cell formation in other pathogenic bacteria, but little is known about persister cell formation in P. aeruginosa (Wang and Wood, 2011; Fasani and Savageau, 2013). For a better understanding about the mechanisms underlying persistence in P. aeruginosa isolates, we analyzed the diversity of five genomic type II TA systems among these isolates and their distinct structural features. All toxins and antitoxins were widely distributed among 4955 clinical isolates of P. aeruginosa and share a high sequence identity, except higB, indicating the unusual roles of HigA in P. aeruginosa. Intriguingly, the mutation analysis of toxins revealed that most mutant sites were located on the toxin surface far away from the active centers and the key residues were extremely conserved among the isolates. This indicated the conserved functional mechanisms of these toxins. We also screened the P. aeruginosa mutants to identify the toxin that contributes to the tolerance against diverse antibiotics. The results showed that deletion of type II toxins had no effect on direct antibiotic resistance in MBC-B assays, whereas parE, PA1030, and higB contributed to persister formation after lethal antibiotic treatments. Further, gene transcription analysis revealed that PA1030/PA1029, PA1878/PA1879, and HigBA systems were specifically activated both in the SCFM medium and during invasion. In addition, PA1030 and HigB were essential for intracellular survival in macrophages. Thus, additional studies are urgently required to explore the detailed functions of PA1030/PA1029 and HigBA systems in persister formation and virulence.

Studies have mostly focused on the functional roles of type II TA systems in standard strains of well-known pathogens, while the diversity and prevalence of these systems among clinical isolates remain to be completely characterized. In P. aeruginosa standard strains and other clinical isolates, the five type II TA systems were widely distributed in genomes and highly conservative in central key residues but variable in surface residues. Our study confirms the major contributions of key residues to full activities of toxins, thereby suggesting the high tolerance of the TA system as a counter to frequent mutations during P. aeruginosa transmission. It also reveals the TA interaction and that the targets of toxins may be distinct in P. aeruginosa isolates. In addition, higB rather than higA was lost in some of the isolated strains. The toxin gene was also absent in Acetobacter species, indicating more potential functions of HigA.

A growing body of evidence indicates that dormancy and persistence are associated with growth arrest caused by increasing expression levels of toxins. Although all toxins from the five TA systems exhibited notable toxic effects on E. coli cells, easily overlooked difference was found in this experiment. In this case, ParE and HigB, which directly halt DNA replication or protein translation, exhibited a stronger growth inhibitory ability. The persistence against antibiotics was also attenuated in strains with parE and higB deletion. On the contrary, contributions of other toxins, such as PA1878 and PA3270 to persiter cell formation were limited.

Despite the initial functions related to the maintenance of plasmids and persistence, type II TA systems exert various biological functions, including abortive infection, biofilm formation and gene regulation (Fraikin et al., 2020; Kamruzzaman et al., 2021; Xia et al., 2021). Based on the PPI network generated using the STRING database, numerous cross-interlinks were discovered between four TA systems, whereas the HigBA system was different from others. Evidences have highlighted the virulence contribution of HigBA system in P. aeruginosa (Li et al., 2016; Wood and Wood, 2016), and recent studies further confirmed that HigA could directly regulate the expression of virulence-associated genes (Guo et al., 2019; Song et al., 2021b). PA1030 was associated with flagellar biosynthesis and Arc1-3 clusters in defense against external threats, and Zhou et al. also demonstrated that this TA system modulate the persister formation by reducing the intracellular NAD+ level in P. aeruginosa (Zhou et al., 2021). While PA1878 and PA3270 were involved in amino acid metabolism. parE and PA3270 were not activated during bacterial invasion, but studies have demonstrated that parE protects cells challenged with anti-gyrase antibiotics. Moreover, pa3270 was activated to regulate the expression of iron uptake genes under iron starvation (Muthuramalingam et al., 2019; Song et al., 2022). These data suggest that these TA systems have different roles in more biological pathways.

TA systems are more abundant in pathogens associated with severe or chronic infections than in nonpathogenic bacteria (Fraikin et al., 2020; Gu et al., 2021; Kamruzzaman et al., 2021). The VapBC22 TA pair in M. tuberculosis is associated with a key regulatory network for modulating bacterial pathogenesis and the host immune response (Agarwal et al., 2020). Loss of the VapC22 toxin reduces the expression of virulence-associated proteins, making them more susceptible to oxidative stress and attenuating growth in host tissues. MazEF is believed to regulate the high antibiotic tolerance phenotype of S. aureus, a major gram-positive organism that causes surgical implant infections (Ma et al., 2019). mazF deletion in S. aureus elevated biofilm growth and virulence but decreased antibiotic tolerance. Consistently, we have proven that PA1030/PA1029 and HigBA are responsible for persistence and virulence in P. aeruginosa, which are potential targets for novel drug development. However, the current data about the regulatory mechanism and structures are unclear and insufficient. Moreover, the specific functions of other type II TA systems need to be explored. Thus, additional studies are required to unveil how external stresses trigger these systems and intracellular targets of toxins, and what are the driving forces for the numerous TA systems that exist in pathogens.

Data availability statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.

Author contributions

YS conceived and designed the experiments. YS and HT carried out qRT-PCR and invasion assays. YS and RB performed the structure modeling and data analysis. YS, HT and RB wrote the manuscript. HT and RB provided supervision. All authors contributed to the article and approved the submitted version.

Funding

This work was supported by the National Science Foundation of China (Grant No. 81871615).

Acknowledgments

The search and alignment online tools used in our work were supported by NCBI (http://www.ncbi.nlm.nih.gov/) and Pseudomonas Genome DB (https://www.pseudomonas.com/). The authors would like to thank all the reviewers who participated in the review and MJEditor (www.mjeditor.com) for its linguistic assistance during the preparation of this manuscript.

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.

Publisher’s note

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.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fcimb.2023.1127786/full#supplementary-material

References

Agarwal, S., Sharma, A., Bouzeyen, R., Deep, A., Sharma, H., Mangalaparthi, K. K., et al. (2020). VapBC22 toxin-antitoxin system from mycobacterium tuberculosis is required for pathogenesis and modulation of host immune response. Sci. Adv. 6 (23), eaba6944. doi: 10.1126/sciadv.aba6944

PubMed Abstract | CrossRef Full Text | Google Scholar

Alonso, J. C. (2021). Toxin–antitoxin systems in pathogenic bacteria. Toxins 13 (2), 74. doi: 10.3390/toxins13020074

PubMed Abstract | CrossRef Full Text | Google Scholar

Davies, J. C. (2002). Pseudomonas aeruginosa in cystic fibrosis: Pathogenesis and persistence. Paediatric Respir. Rev. 3 (2), 128–134. doi: 10.1016/S1526-0550(02)00003-3

CrossRef Full Text | Google Scholar

Fasani, R. A., Savageau, M. A. (2013). Molecular mechanisms of multiple toxin–antitoxin systems are coordinated to govern the persister phenotype. Proc. Natl. Acad. Sci. 110 (27), E2528–E2537. doi: 10.1073/pnas.1301023110

CrossRef Full Text | Google Scholar

Feng, W., Huang, Q., Wang, Y., Yuan, Q., Li, X., Xia, P., et al. (2021). Changes in the resistance and epidemiological characteristics of pseudomonas aeruginosa during a ten-year period. J. Microbiol. Immunol. Infection 54 (2), 261–266. doi: 10.1016/j.jmii.2019.08.017

CrossRef Full Text | Google Scholar

Fraikin, N., Goormaghtigh, F., Van Melderen, L. (2020). Type II toxin-antitoxin systems: Evolution and revolutions. J. bacteriol. 202 (7), e00763–e00719. doi: 10.1128/JB.00763-19

PubMed Abstract | CrossRef Full Text | Google Scholar

Golmoradi Zadeh, R., Mirshekar, M., Sadeghi Kalani, B., Pourghader, J., Barati, M., Masjedian Jazi, F. (2022). The expression of type II TA system genes following persister cell formation in pseudomonas aeruginosa isolates in the exponential and stationary phases. Arch. Microbiol. 204 (8), 1–10. doi: 10.1007/s00203-022-03038-x

CrossRef Full Text | Google Scholar

Gu, Q., He, P., Wang, D., Ma, J., Zhong, X., Zhu, Y., et al. (2021). An auto-regulating type II toxin-antitoxin system modulates drug resistance and virulence in streptococcus suis. Front. Microbiol. 2333. doi: 10.3389/fmicb.2021.671706

CrossRef Full Text | Google Scholar

Guo, Y., Sun, C., Li, Y., Tang, K., Ni, S., Wang, X. (2019). Antitoxin HigA inhibits virulence gene mvfR expression in pseudomonas aeruginosa. Environ. Microbiol. 21 (8), 2707–2723. doi: 10.1111/1462-2920.14595

PubMed Abstract | CrossRef Full Text | Google Scholar

Helaine, S., Cheverton, A. M., Watson, K. G., Faure, L. M., Matthews, S. A., Holden, D. W. (2014). Internalization of salmonella by macrophages induces formation of nonreplicating persisters. Science 343 (6167), 204–208. doi: 10.1126/science.1244705

PubMed Abstract | CrossRef Full Text | Google Scholar

Huynh, T. N., Luo, S., Pensinger, D., Sauer, J.-D., Tong, L., Woodward, J. J. (2015). An HD-domain phosphodiesterase mediates cooperative hydrolysis of c-di-AMP to affect bacterial growth and virulence. Proc. Natl. Acad. Sci. 112 (7), E747–E756. doi: 10.1073/pnas.1416485112

CrossRef Full Text | Google Scholar

Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., et al. (2021). Highly accurate protein structure prediction with AlphaFold. Nature 596 (7873), 583–589. doi: 10.1038/s41586-021-03819-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Jurėnas, D., Fraikin, N., Goormaghtigh, F., Van Melderen, L. (2022). Biology and evolution of bacterial toxin–antitoxin systems. Nat. Rev. Microbiol. 20 (6), 335–350. doi: 10.1038/s41579-021-00661-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Kamruzzaman, M., Wu, A. Y., Iredell, J. R. (2021). Biological functions of type II toxin-antitoxin systems in bacteria. Microorganisms 9 (6), 1276. doi: 10.3390/microorganisms9061276

PubMed Abstract | CrossRef Full Text | Google Scholar

Kooguchi, K., Hashimoto, S., Kobayashi, A., Kitamura, Y., Kudoh, I., Wiener-Kronish, J., et al. (1998). Role of alveolar macrophages in initiation and regulation of inflammation in pseudomonas aeruginosa pneumonia. Infection Immun. 66 (7), 3164–3169. doi: 10.1128/IAI.66.7.3164-3169.1998

CrossRef Full Text | Google Scholar

Li, M., Long, Y., Liu, Y., Liu, Y., Chen, R., Shi, J., et al. (2016). HigB of pseudomonas aeruginosa enhances killing of phagocytes by up-regulating the type III secretion system in ciprofloxacin induced persister cells. Front. Cell. infect. Microbiol. 6, 125. doi: 10.3389/fcimb.2016.00125

PubMed Abstract | CrossRef Full Text | Google Scholar

Lobato-Márquez, D., Moreno-Córdoba, I., Figueroa, V., Díaz-Orejas, R., García-del Portillo, F. (2015). Distinct type I and type II toxin-antitoxin modules control salmonella lifestyle inside eukaryotic cells. Sci. Rep. 5 (1), 1–10. doi: 10.1038/srep09374

CrossRef Full Text | Google Scholar

Lyczak, J. B., Cannon, C. L., Pier, G. B. (2000). Establishment of pseudomonas aeruginosa infection: Lessons from a versatile opportunist. Microbes infect. 2 (9), 1051–1060. doi: 10.1016/S1286-4579(00)01259-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Ma, D., Mandell, J. B., Donegan, N. P., Cheung, A. L., Ma, W., Rothenberger, S., et al. (2019). The toxin-antitoxin MazEF drives staphylococcus aureus biofilm formation, antibiotic tolerance, and chronic infection. MBio 10 (6), e01658–e01619. doi: 10.1128/mBio.01658-19

PubMed Abstract | CrossRef Full Text | Google Scholar

Mah, T.-F. (2014). Establishing the minimal bactericidal concentration of an antimicrobial agent for planktonic cells (MBC-p) and biofilm cells (MBC-b). JoVE (Journal Visualized Experiments) 83), e50854. doi: 10.3791/50854

CrossRef Full Text | Google Scholar

Mansour, M., Giudice, E., Xu, X., Akarsu, H., Bordes, P., Guillet, V., et al. (2022). Substrate recognition and cryo-EM structure of the ribosome-bound TAC toxin of mycobacterium tuberculosis. Nat. Commun. 13 (1), 1–14. doi: 10.1038/s41467-022-30373-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Mulcahy, L. R., Burns, J. L., Lory, S., Lewis, K. (2010). Emergence of pseudomonas aeruginosa strains producing high levels of persister cells in patients with cystic fibrosis. J. bacteriol. 192 (23), 6191–6199. doi: 10.1128/JB.01651-09

PubMed Abstract | CrossRef Full Text | Google Scholar

Muthuramalingam, M., White, J. C., Murphy, T., Ames, J. R., Bourne, C. R. (2019). The toxin from a ParDE toxin-antitoxin system found in pseudomonas aeruginosa offers protection to cells challenged with anti-gyrase antibiotics. Mol. Microbiol. 111 (2), 441–454. doi: 10.1111/mmi.14165

PubMed Abstract | CrossRef Full Text | Google Scholar

Palmer, K. L., Aye, L. M., Whiteley, M. (2007). Nutritional cues control pseudomonas aeruginosa multicellular behavior in cystic fibrosis sputum. J. bacteriol. 189 (22), 8079–8087. doi: 10.1128/JB.01138-07

PubMed Abstract | CrossRef Full Text | Google Scholar

Paul, P., Patel, P., Verma, S. K., Mishra, P., Sahu, B. R., Panda, P. K., et al. (2022). The hha–TomB toxin–antitoxin module in salmonella enterica serovar typhimurium limits its intracellular survival profile and regulates host immune response. Cell Biol. Toxicol. 38 (1), 111–127. doi: 10.1007/s10565-021-09587-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Pinel-Marie, M.-L., Brielle, R., Riffaud, C., Germain-Amiot, N., Polacek, N., Felden, B. (2021). RNA Antitoxin SprF1 binds ribosomes to attenuate translation and promote persister cell formation in staphylococcus aureus. Nat. Microbiol. 6 (2), 209–220. doi: 10.1038/s41564-020-00819-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Qin, S., Xiao, W., Zhou, C., Pu, Q., Deng, X., Lan, L., et al. (2022). Pseudomonas aeruginosa: Pathogenesis, virulence factors, antibiotic resistance, interaction with host, technology advances and emerging therapeutics. Signal Transduction Targeted Ther. 7 (1), 1–27. doi: 10.1038/s41392-022-01056-1

CrossRef Full Text | Google Scholar

Rio, D. C., Ares, M., Hannon, G. J., Nilsen, T. W. (2010). Purification of RNA using TRIzol (TRI reagent). Cold Spring Harbor Protoc. 2010 (6), pdb. prot5439. doi: 10.1101/pdb.prot5439

CrossRef Full Text | Google Scholar

Równicki, M., Lasek, R., Trylska, J., Bartosik, D. (2020). Targeting type II toxin–antitoxin systems as antibacterial strategies. Toxins 12 (9), 568. doi: 10.3390/toxins12090568

PubMed Abstract | CrossRef Full Text | Google Scholar

Salamov, V. S. A., Solovyevand, A. (2011). Automatic annotation of microbial genomes and metagenomic sequences. Metagenomics its Appl. agriculture biomed. Environ. Stud., 61–78.

Google Scholar

Sato, H., Okinaga, K., Saito, H. (1988). Role of pili in the pathogenesis of pseudomonas aeruginosa burn infection. Microbiol. Immunol. 32 (2), 131–139. doi: 10.1111/j.1348-0421.1988.tb01372.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Snead, K. J., Moore, L. L., Bourne, C. R. (2021). ParD antitoxin hotspot alters a disorder-to-order transition upon binding to its cognate ParE toxin, lessening its interaction affinity and increasing its protease degradation kinetics. Biochemistry 61 (1), 34–45. doi: 10.1021/acs.biochem.1c00584

PubMed Abstract | CrossRef Full Text | Google Scholar

Song, Y., Luo, G., Zhu, Y., Li, T., Li, C., He, L., et al. (2021a). Pseudomonas aeruginosa antitoxin HigA functions as a diverse regulatory factor by recognizing specific pseudopalindromic DNA motifs. Environ. Microbiol. 23 (3), 1541–1558. doi: 10.1111/1462-2920.15365

PubMed Abstract | CrossRef Full Text | Google Scholar

Song, Y., Zhang, S., Luo, G., Shen, Y., Li, C., Zhu, Y., et al. (2021b). Type II antitoxin HigA is a key virulence regulator in pseudomonas aeruginosa. ACS Infect. Dis. 7 (10), 2930–2940. doi: 10.1021/acsinfecdis.1c00401

PubMed Abstract | CrossRef Full Text | Google Scholar

Song, Y., Zhang, S., Ye, Z., Song, Y., Chen, L., Tong, A., et al. (2022). The novel type II toxin–antitoxin PacTA modulates pseudomonas aeruginosa iron homeostasis by obstructing the DNA-binding activity of fur. Nucleic Acids Res. 50 (18), 10586–10600. doi: 10.1093/nar/gkac867

PubMed Abstract | CrossRef Full Text | Google Scholar

Szklarczyk, D., Gable, A. L., Nastou, K. C., Lyon, D., Kirsch, R., Pyysalo, S., et al. (2021). The STRING database in 2021: Customizable protein–protein networks, and functional characterization of user-uploaded gene/measurement sets. Nucleic Acids Res. 49 (D1), D605–D612. doi: 10.1093/nar/gkab835

PubMed Abstract | CrossRef Full Text | Google Scholar

Tenover, F. C., Nicolau, D. P., Gill, C. M. (2022). Carbapenemase-producing pseudomonas aeruginosa–an emerging challenge. Emerg. Microbes Infect. 11 (1), 811–814. doi: 10.1080/22221751.2022.2048972

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, X., Wood, T. K. (2011). Toxin-antitoxin systems influence biofilm and persister cell formation and the general stress response. Appl. Environ. Microbiol. 77 (16), 5577–5583. doi: 10.1128/AEM.05068-11

PubMed Abstract | CrossRef Full Text | Google Scholar

Winsor, G. L., Griffiths, E. J., Lo, R., Dhillon, B. K., Shay, J. A., Brinkman, F. S. (2016). Enhanced annotations and features for comparing thousands of pseudomonas genomes in the pseudomonas genome database. Nucleic Acids Res. 44 (D1), D646–D653. doi: 10.1093/nar/gkv1227

PubMed Abstract | CrossRef Full Text | Google Scholar

Wood, T. L., Wood, T. K. (2016). The HigB/HigA toxin/antitoxin system of pseudomonas aeruginosa influences the virulence factors pyochelin, pyocyanin, and biofilm formation. Microbiologyopen 5 (3), 499–511. doi: 10.1002/mbo3.346

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, W., Jin, Y., Bai, F., Jin, S. (2015). “Pseudomonas aeruginosa,” in Molecular medical microbiology (Elsevier), 753–767.

Google Scholar

Xia, K., Ma, J., Liang, X. (2021). Impacts of type II toxin-antitoxin systems on cell physiology and environmental behavior in acetic acid bacteria. Appl. Microbiol. Biotechnol. 105 (11), 4357–4367. doi: 10.1007/s00253-021-11357-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Xie, Y., Wei, Y., Shen, Y., Li, X., Zhou, H., Tai, C., et al. (2018). TADB 2.0: An updated database of bacterial type II toxin–antitoxin loci. Nucleic Acids Res. 46 (D1), D749–D753. doi: 10.1093/nar/gkx1033

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, J., Li, S., Li, H., Jin, Y., Bai, F., Cheng, Z., et al. (2021). Identification of a toxin–antitoxin system that contributes to persister formation by reducing NAD in pseudomonas aeruginosa. Microorganisms 9 (4), 753. doi: 10.3390/microorganisms9040753

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: P. aeruginosa isolates, toxin-antitoxin system, persistence, invasion ability, intracellular survival

Citation: Song Y, Tang H and Bao R (2023) Comparative analysis of five type II TA systems identified in Pseudomonas aeruginosa reveals their contributions to persistence and intracellular survival. Front. Cell. Infect. Microbiol. 13:1127786. doi: 10.3389/fcimb.2023.1127786

Received: 20 December 2022; Accepted: 01 February 2023;
Published: 13 February 2023.

Edited by:

Davide Roncarati, University of Bologna, Italy

Reviewed by:

Liang Tao, Westlake University, China
Congran Li, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences, China

Copyright © 2023 Song, Tang and Bao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Rui Bao, YmFvcnVpQHNjdS5lZHUuY24=; Hong Tang, aHRhbmc2MTk4QGhvdG1haWwuY29t

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.