The secondary metabolite hydrogen cyanide protects Pseudomonas aeruginosa against sodium hypochlorite-induced oxidative stress

Abstract

The high pathogenicity of Pseudomonas aeruginosa is attributed to the production of many virulence factors and its resistance to several antimicrobials. Among them, sodium hypochlorite (NaOCl) is a widely used disinfectant due to its strong antimicrobial effect. However, bacteria develop many mechanisms to survive the damage caused by this agent. Therefore, this study aimed to identify novel mechanisms employed by P. aeruginosa to resist oxidative stress induced by the strong oxidizing agent NaOCl. We analyzed the growth of the P. aeruginosa mutants ΔkatA, ΔkatE, ΔahpC, ΔahpF, ΔmsrA at 1 μg/mL NaOCl, and showed that these known H₂O₂ resistance mechanisms are also important for the survival of P. aeruginosa under NaOCl stress. We then conducted a screening of the P. aeruginosa PA14 transposon insertion mutant library and identified 48 mutants with increased susceptibility toward NaOCl. Among them were 10 mutants with a disrupted nrdJa, bvlR, hcnA, orn, sucC, cysZ, nuoJ, PA4166, opmQ, or thiC gene, which also exhibited a significant growth defect in the presence of NaOCl. We focussed our follow-up experiments (i.e., growth analyzes and kill-kinetics) on mutants with defect in the synthesis of the secondary metabolite hydrogen cyanide (HCN). We showed that HCN produced by P. aeruginosa contributes to its resistance toward NaOCl as it acts as a scavenger molecule, quenching the toxic effects of NaOCl.

1. Introduction

Pseudomonas aeruginosa is an ubiquitous environmental, Gram-negative bacterium and a highly versatile opportunistic human pathogen that can be isolated from soil, water, plants, and animals (Ambreetha and Balachandar, 2022). In humans, it can cause severe and diverse infections of considerable medical importance, such as ventilator-associated pneumonia, endocarditis, urinary tract, and systemic infections, mainly in immunocompromised individuals (Bassetti et al., 2018). One remarkable characteristic of P. aeruginosa is its ability to adapt and survive under various and harsh environmental conditions due to a sophisticated network of stress responses, including cold, heat, and oxidative stress responses (Craig et al., 2021; Da Cruz Nizer et al., 2021).

Oxidizing agents are low-molecular-weight compounds that have an increased ability to oxidize other substances by removing electrons and, therefore, are considered potent antimicrobial agents (Finnegan et al., 2010). Among them, reactive oxygen (e.g., hydrogen peroxide, H₂O₂) and chlorine (e.g., hypochlorous acid, HOCl) species (ROS and RCS, respectively) are highly reactive molecules produced as by-products of the metabolism of oxygen of living organisms (endogenous production) or encountered by bacterial cells from exogenous sources, such as disinfectants (Bardaweel et al., 2018). In bacterial cells, these molecules oxidize several molecules and disrupt numerous cellular processes. For instance, they react with lipids, proteins, and nucleic acids resulting in membrane damage and affecting protein, DNA, RNA, and energy synthesis (Da Cruz Nizer et al., 2021). Due to their potent activity, ROS and RCS are widely used in many applications as disinfectants in domestic, industrial and hospital settings, water and wastewater treatment, cleaning of wounds, and as antiseptic agents (Da Cruz Nizer et al., 2020, 2021; Gold et al., 2020). Furthermore, H₂O₂ and HOCl are also produced by human immune cells as a defense against invading pathogens (Da Cruz Nizer et al., 2020). Overall, HOCl is a more potent oxidizing agent with a much faster antimicrobial effect than H₂O₂ (Peskin and Winterbourn, 2001; Winterbourn et al., 2016). It is the active ingredient of sodium hypochlorite (NaOCl; household bleach) and is considered the most commonly used chlorine-based disinfectant and oxidant in drinking water disinfection (Fukuzaki, 2006; Deborde and von Gunten, 2008).

Pseudomonas aeruginosa is constantly exposed to oxidative stress, either from endogenous production or exogenous sources, by the use of disinfectants. In this context, this bacterium has developed many mechanisms to survive the toxic effects of these agents. Although HOCl is a stronger oxidant than H₂O₂, most research has focused on the H₂O₂ responses adopted by P. aeruginosa, and only a few studies have identified and characterized specific stress responses and resistance mechanisms against HOCl (Da Cruz Nizer et al., 2020). However, most of these adaptive responses are not specific to a single agent but are part of a general oxidative stress response in P. aeruginosa. For instance, detoxifying enzymes, such as catalases, alkyl hydroperoxides, and protein repair systems, such as MrsR, are well-known to be involved in the resistance of P. aeruginosa against H₂O₂ (Panmanee and Hassett, 2009; Romsang et al., 2013). Furthermore, transcriptional regulators, mainly OxyR, are also crucial for the survival of P. aeruginosa under oxidizing conditions (Ochsner et al., 2000). Previous studies have used gene expression analyzes or screening for regulatory proteins to characterize the adaptation of P. aeruginosa to HOCl (Groitl et al., 2017; Farrant et al., 2020).

This study aims to identify novel genes involved in the resistance of P. aeruginosa to the strong oxidant NaOCl by a targeted screening of genes known to be involved in H₂O₂ resistance as well as screening the comprehensive P. aeruginosa PA14 mutant library (Liberati et al., 2006) for mutants with increased susceptibility to NaOCl.

2. Materials and methods

2.1. Bacterial strains, plasmids, and growth conditions

The bacterial strains used in this study included P. aeruginosa PA14 wild-type (PA14 WT) (Rahme et al., 1995), P. aeruginosa PAO1 WT (Stover et al., 2000) and the entire P. aeruginosa PA14 transposon mutant library from Harvard University (Liberati et al., 2006), which was used to screen susceptible mutants. After the selection of PA14 mutants, PAO1 homologs from the PAO1 comprehensive transposon mutant library (Jacobs et al., 2003) were also tested for further verification of our findings. The list of strains used in this study is shown in Supplementary Table S1. Unless otherwise stated, all strains were grown in Lysogeny broth (LB) overnight at 37°C under shaking conditions (220 rpm) and the experiments were conducted using cells in the stationary growth phase. Oxidative stress assays were conducted in BM2 minimal medium [7 mM (NH₄)₂SO₄, 40 mM K₂HPO₄, 22 mM KH₂PO, 0.4% (w/v) glucose, 0.5 mM MgSO₄, 0.01 mM FeSO₄, pH 7.0] (Overhage et al., 2008). For easier readability, we used the PAO1 gene numbers for our genes when the gene names were unknown.

The PA2194 PW4739 (ΔhcnB) mutant from the PAO1 transposon mutant library (Jacobs et al., 2003) was complemented by the transfer of the phcnBC plasmid expressing hcnBC (Létoffé et al., 2022), which was kindly provided by Dr. Jean-Marc Ghigo. The complemented mutant ΔhcnB-phcnBC was grown overnight in LB medium supplemented with 400 μg/mL kanamycin and 2 mM sodium benzoate for inducible gene expression (Létoffé et al., 2022).

2.2. Measurement of RCS

NaOCl aqueous solution was used to induce RCS stress. Free chlorine concentration of NaOCl aqueous solutions was determined weekly using DPD Free Chlorine Powder Packs (Thermo Scientific Orion), according to the manufacturer’s instructions. BM2 minimal medium was used to mitigate side reactions between NaOCl and growth medium components. Additionally, to confirm that the addition of NaOCl to BM2 did not reduce the amount of overall RCS, RCS concentration was measured as previously described (Ashby et al., 2020). In this context, addition of 1, 2, and 4 μg/mL NaOCl to BM2 minimal medium did not result in significant reduction in overall RCS levels. In contrast, NaOCl was completely quenched by LB in our control experiment.

2.3. Pre-liminary screening for susceptible mutants

To identify genes involved in P. aeruginosa stress resistance to NaOCl, we initially screened the P. aeruginosa PA14 transposon insertion mutant library (Liberati et al., 2006) for mutants with increased susceptibility to NaOCl. For this, frozen stocks of PA14 mutants arranged in 96-well microtiter plates were transferred to fresh LB medium and incubated for 24 h at 37°C. Then, the mutants were stamped with a 96-pin metal replicator into new 96-well microtiter plates containing NaOCl at 1 μg/mL (½ x MIC) in BM2 growth medium and incubated for 24 h at 37°C. Susceptible mutants (i.e., mutants that did not grow at 1 μg/mL NaOCl) were selected for further analysis.

2.4. Minimal inhibitory concentration assay

The MIC for NaOCl and H₂O₂ was determined by the standard broth microdilution method in BM2 minimal medium, as described previously (Wiegand et al., 2008). Briefly, P. aeruginosa strains were grown overnight in LB at 37°C and 220 rpm. Cells were collected by centrifugation (10,000 rpm for 2 min), washed twice with phosphate-buffered saline (PBS), and resuspended in BM2 medium. The optical density at 600 nm (OD_600nm) was adjusted to 0.2 (2 × 10⁸ CFU/mL), and 50 μL was mixed in 96-well plates with 50 μL of serial dilutions of NaOCl (0.125–128 μg/mL) or H₂O₂ (98–50,000 μg/mL) prepared in BM2 (final cell concentration of 1 × 10⁸ CFU/mL). The plates were incubated for 24 h at 37°C, and the MIC was considered the lowest concentration of oxidizing agent that inhibits the visual growth of bacteria.

2.5. Growth curves

Pseudomonas aeruginosa overnight cultures grown at 37°C and 220 rpm in LB were washed twice with PBS, resuspended in BM2, and the OD_600nm was adjusted to 0.2 (2 × 10⁸ CFU/mL). Then, 50 μL of bacterial suspension and 50 μL of oxidizing agent were mixed in flat-bottom polystyrene 96-well microtiter plates, leading to a final concentration of NaOCl of 1 μg/mL and H₂O₂ of 400 μg/mL and the final cell concentration of 1 × 10⁸ CFU/mL. The OD_600nm was read every hour for 20 h at 37°C using the Epoch plate reader (Biotek, United States). Growth curves were statistically analyzed by measuring the area under the curve (AUC) using GraphPad Prism version 9.5.1 (San Diego, United States).

2.6. Semiquantitative analysis of Hydrogen cyanide (HCN) production

Volatile Hydrogen cyanide production was quantified by the semiquantitative method previously described (Castric, 1977; Létoffé et al., 2022). Briefly, 2 mL of overnight cultures of PAO1 WT, ΔhcnB, and ΔhcnB-phcnBC grown in LB were collected by centrifugation and washed twice with PBS. The cells were resuspended in 2 mL of LB and transferred to a small Petri dish (35 cm diameter) placed in the middle of a 100-mm diameter Petri dish. The small petri dish was covered with chromatography paper soaked in HCN detection reagent: 100 mg of copper (II) ethyl acetoacetate and 100 mg of 4,4′-methylenebis-(N,N-dimethylaniline) solubilized in 20 mL chloroform (Létoffé et al., 2022). The large petri dish was then closed and incubated at 37°C for 24 h under static conditions. HCN production was detected by blue color formation on the chromatography paper. Two mM sodium benzoate was added to ΔhcnB-phcnBC cells.

2.7. Time-kill kinetics experiments

Pseudomonas aeruginosa was grown overnight in LB at 37°C under shaking conditions, collected by centrifugation, washed twice, and resuspended in PBS. The OD_600nm was adjusted to 0.1, and the bacterial suspensions were treated with NaOCl at 2 μg/mL for 5, 15, 30, and 60 min. For the experiments using the supernatant, PAO1 WT, ΔhcnB and ΔhcnB-phcnBC were grown in BM2 overnight. Then, PAO1 WT, ΔhcnB, or ΔhcnB-phcnBC culture supernatants were collected by centrifugation followed by sterile filtration using a 0.22 μm filter. On the other hand, ΔhcnB cells were collected by centrifugation, washed twice with PBS, and the OD_600nm was adjusted to 0.1 by diluting the cells in PAO1 WT, ΔhcnB, or ΔhcnB-phcnBC supernatants. The bacterial suspensions were treated with 4 μg/mL NaOCl for 60 min.

After the treatments, 10 mM Na₂S₂O₃ was added to the samples to quench NaOCl, and the cells were serially diluted and plated out on LB agar plates using the drop plate method previously described (Herigstad et al., 2001).

2.8. Statistical analysis

Statistical analyzes were performed using GraphPad Prism software version 9.5.1 (San Diego, United States). The Shapiro–Wilk test was used to confirm the normality of the data. Parametric data were analyzed by One Way ANOVA, followed by Tukey or Dunnett’s post-test for multiple comparisons or Student’s t-test for comparison between two groups. Non-parametric data were analyzed by the t-test and Mann–Whitney test for comparison between two groups. All experiments were performed in at least three independent experiments, and results were considered statistically significant when p < 0.05.

3. Results

3.1. H₂O₂ Detoxifying mechanisms also contribute to the NaOCl survival of Pseudomonas aeruginosa

Previous work on H₂O₂ has identified several detoxifying enzymes and oxidative stress repair systems in P. aeruginosa. To evaluate if these previously described genes involved in H₂O₂ adaptation also play a role in the adaptation of P. aeruginosa to NaOCl, we examined growth of the P. aeruginosa PAO1 and PA14 mutants ΔkatA and ΔkatE (catalases), ΔahpC and ΔahpF (alkyl hydroperoxide reductase), ΔmsrA (methionine sulfoxide reductase), and ΔohrR (organic hydroperoxide resistance protein) exposed to NaOCl at 1 μg/mL for 20 h at 37°C. This sub-lethal concentration was chosen based on the MIC of the WT strains (2 μg/mL). In accordance with Farrant et al. (2020), mutants were considered to possess a susceptibility phenotype when they presented an increased lag phase of >3 h compared to the WT strain. Furthermore, to statistically analyze the growth curves obtained, we measured the AUC. AUC, also known as growth potential (Todor et al., 2014), is a metric to quantify the cumulative effect of overall growth over time (Sprouffske and Wagner, 2016).

Pseudomonas aeruginosa PAO1 and PA14 WT treated with 1 μg/mL NaOCl took approximately 5–6 h to reach an OD_600nm of 0.2 (double the initial OD). Overall, all mutants presented reduced growth at 1 μg/mL NaOCl compared to the WT strains. Furthermore, the AUCs were statistically significant for both the PA14 and PAO1 mutant strains compared to the WT strains treated with 1 μg/mL NaOCl. An OhrR mutant, a transcriptional repressor involved in oxidative stress response in P. aeruginosa, was used as a control and presented growth compared to the untreated controls and WT strains (Figure 1; Table 1). Of note, the PA14 ΔkatA mutant (Figure 1A) required 11 h to reach an OD_600nm of 0.2, nearly twice as long as the time needed for the PA14 WT strain, and the PAO1 mutant did not show any growth. Furthermore, the ΔkatA PA14 mutant exhibited an AUC approximately 2x smaller than that of the PA14 WT strain, whereas the ΔkatA PAO1 mutant had an AUC more than 4x smaller than the PAO1 WT strain.

Figure 1.

Susceptibility of known-H₂O₂ resistance mechanisms to NaOCl. Overnight cultures were grown in LB at 37°C and 220 rpm. Then, cells were washed twice with PBS, resuspended in BM2 minimal medium, and treated with NaOCl at 1 μg/mL (final cell concentration of 1 × 10⁸ CFU/mL) for 20 h at 37°C. OD_600nm was recorded every hour using an epoch plate reader. (A) ΔkatA; (B) ΔkatE; (C) ΔahpC; (D) ΔahpF; (E) ΔmsrA; (F) ΔohrR. WT: wild-type; Uc, untreated control.

Table 1.

MIC and area under the curve (AUC) of growth curves of Pseudomonas aeruginosa strains exposed to 1 μg/mL NaOCl.

P. aeruginosa strains		MIC (μg/mL)	Area under the curve (AUC)
			Untreated Control	1 μg/mL NaOCl
PAO1 WT		2	9.288 ± 0.875	7.946 ± 0.874
PA14 WT		2	8.115 ± 0.983	7.310 ± 0.912
ΔkatA	PA4236	1	6.823 ± 0.012	1.761 ± 0.054*
	PA14_09150	1	7.767 ± 0.097	4.269 ± 0.545*
ΔkatE	PA2147	1	6.797 ± 0.137	3.823 ± 1.790*
	PA14_36810	1	7.687 ± 0.049	4.093 ± 0.989*
ΔahpC	PA0139	1	6.965 ± 0.045	5.417 ± 1.017*
	PA14_01710	1	7.616 ± 0.184	5.002 ± 0.313*
ΔahpF	PA0140	1	6.924 ± 0.023	3.812 ± 0.645*
	PA14_01720	1	7.704 ± 0.203	5.410 ± 0.369*
ΔmsrA	PA5018	1	7.133 ± 0.092	2.394 ± 0.883*
	PA14_66330	1	7.651 ± 0.207	5.346 ± 0.520*
ΔohrR	PA2849	4	7.198 ± 0.154	6.106 ± 0.877
	PA14_27230	4	7.455 ± 0.188	5.871 ± 0.783

WT, wild-type. Data were analyzed by One-Way ANOVA and compared with the PA14 or PAO1 WT strains treated with 1 μg/mL NaOCl. *p < 0.05. AUC represents the average ± standard deviation of at least three independent experiments.

In addition to the increased susceptibility in the growth analyzes, these mutants presented a 2-fold increase in susceptibility in MIC testing (MIC of 1 μg/mL; ½ x MIC of the WT), except for OhrR, which presented a MIC of 4 μg/mL (Table 1). These results demonstrate the importance of these repair systems in detoxifying toxic oxygen species, including NaOCl.

3.2. PA14 transposon mutant library screening for identification of novel genes involved in NaOCl resistance

To identify novel genes involved in NaOCl resistance, we screened the comprehensive Harvard PA14 transposon insertion mutant library (Liberati et al., 2006) for mutants with increased susceptibility to NaOCl. In the preliminary screening, we exposed the PA14 mutants to NaOCl at 1 μg/mL in BM2 minimal growth medium. Mutants not showing visual growth at this concentration were selected for further MIC testing to confirm their phenotypes. In total, 48 PA14 mutants with MIC of 0.5 and 1 μg/mL (¼ and ½ x MIC of PA14 WT) were identified and selected for further analysis (Figure 2A; Supplementary Table S2). Most of the mutants identified in this preliminary screening have a mutation in genes with unknown function (17/48), followed by genes involved in the transport of small molecules (8/48), such as ABC transporter, sulfate uptake protein, and major facilitator superfamily (MFS) transporter (Figure 2B). Furthermore, among the 48 mutants identified, 9 presented MIC values of 0.5 μg/mL [PA2077 (hypothetical protein), PA2193 (ΔhcnA, cyanide production), PA0846 (sulfate uptake protein), PA4110 (ΔampC, cephalosporinase), PA5446 (hypothetical protein), PA0040 (hemolysin activation/secretion protein), PA1046 (hypothetical protein), PA4973 (ΔthiC, thiamin biosynthesis protein ThiC), and PA1315 (transcriptional regulator)].

Figure 2.

(A) Map of the P. aeruginosa genome with genes identified in the MIC screening. The image was generated by CGview (Stothard and Wishart, 2005). Red: Forward genes; Blue, Reverse genes. (B) Functional classification of genes identified in the MIC screening based on the P. aeruginosa genome classification.

3.3. Growth kinetic analyzes of mutants identified in the planktonic screening

To further characterize the susceptibility phenotype of the mutants identified in the MIC screening in more detail, we analyzed the growth of these 48 mutants in the presence of 1 μg/mL NaOCl for 20 h at 37°C in microtiter plates. Overall, 10 PA14 mutants identified in the library screening also presented a significant delay in growth in the presence of NaOCl compared to the WT-treated strains (i.e., more than 10 h to double the initial OD). Table 2 shows the 10 mutants identified in the PA14 mutant library screening, and Figure 3 illustrates their growth kinetics at 1 μg/mL NaOCl. Most of the mutants reached the OD_600nm of 0.2 (double the initial cell concentration) after 11 h of incubation, while it took approximately 5–6 h for the WT strains to get to this OD. Among them, ΔbvlR, ΔhcnA, and ΔthiC presented overall reduced growth at 1 μg/mL NaOCl, reaching the maximum OD_600nm of 0.364, 0.382, and 0.405, respectively, after 20 h compared to the PA14 WT (OD_600nm of 0.6 after 20 h).

Table 2.

Susceptibility to Pseudomonas aeruginosa mutants to NaOCl.

Locus name	PAO1 homolog	Gene name	Gene description	Functional category	MIC (μg/mL)
PA14_72540	PA5497	nrdJa	Putative ribonucleotide reductase	Nucleotide biosynthesis and metabolism	1
PA14_26880	PA2877	bvlR	Putative transcriptional regulator, LysR family	Transcriptional regulators	1
PA14_36330	PA2193*	hcnA	Hydrogen cyanide synthase	Central intermediary metabolism	0.5
PA14_65410	PA4951	orn	Oligoribonuclease	Transcription, RNA processing, and degradation	1
PA14_43950	PA1588*	sucC	Succinyl-CoA synthetase beta subunit	Energy metabolism	1
PA14_53330	PA0846	cysZ	Probable sulfate uptake protein	Transport of small molecules	0.5
PA14_29900	PA2645	nuoJ	NADH dehydrogenase I chain J	Energy metabolism	1
PA14_09990	PA4166		Putative acetyltransferase	Putative enzymes	1
PA14_33750	PA2391	opmQ	Putative outer membrane protein precursor	Transport of small molecules	1
PA14_65740	PA4973	thiC	Thiamin biosynthesis protein ThiC	Biosynthesis of cofactors, prosthetic groups, and carriers	0.5
PA14 WT					2
PA01 WT					2

*PAO1 homolog unavailable for testing.

Figure 3.

Susceptibility of PA14 mutants and PAO1 homologs identified in the screening to NaOCl. Overnight cultures were grown in LB at 37°C and 220 rpm. Then, cells were washed twice, resuspended in BM2 minimal medium, and treated with NaOCl at 1 μg/mL (final cell concentration of 1 × 10⁸ CFU/mL) for 20 h at 37°C. OD_600nm was recorded every hour using an epoch plate reader. (A) ΔnrdJa (PA14_72540/PA5497); (B) ΔbvlR (PA14_26880/PA2877); (C) ΔhcnA (PA14_36330); (D) Δorn (PA14_65410/PA4951); (E) ΔsucC (PA14_43950); (F) ΔcysZ (PA14_53330/PA0846); (G) ΔnuoJ (PA14_29900/PA2645); (H) PA14_09990/PA4166; (I) ΔopmQ (PA14_33750/PA2391); (J) ΔthiC (PA14_65740/PA4973). WT: wild-type; Uc: untreated control.

To evaluate if our findings are strain-specific, we also assessed the growth of the PAO1 mutant homologs from the PAO1 two-allele transposon mutant library from the University of Washington Genome Center (Jacobs et al., 2003) under the same experimental conditions over time (Figure 3). Moreover, to statistically analyze the growth curves obtained for the PA14 and PAO1 mutants, we calculated the AUC and compared the values obtained with the AUC of 1 μg/mL NaOCl-treated WT strains (Table 3). The mutants ΔnrdJa, ΔcysZ, ΔopmQ, and ΔthiC presented delayed growth (i.e., lag phase >3 h than the WT strains) and statistically different AUCs compared to the NaOCl-treated WT strains for both PA14 and PAO1 mutants, suggesting that the phenotype found is not strain specific. PAO1 homologs for the mutants ΔhcnA and ΔsucC were unavailable for testing.

Table 3.

Area under the curve (AUC) of NaOCl and H₂O₂ growth curves of NaOCl-susceptible Pseudomonas aeruginosa strains identified in the screening.

Gene name	P. aeruginosa strains	NaOCl		H2O2
		Untreated	1 μg/mL	Untreated	400 μg/mL
	PAO1 WT	9.288 ± 0.875	7.946 ± 0.874	9.385 ± 0.747	5.542 ± 0.775
	PA14 WT	8.115 ± 0.983	7.310 ± 0.912	8.279 ± 0.748	4.253 ± 0.956
nrdJa	PA5497 PW10298	8.776 ± 0.056	6.058 ± 1.027*	8.626 ± 0.195	4.264 ± 0.416
	PA14_72540	8.572 ± 0.525	5.031 ± 0.122*	7.555 ± 0.149	4.644 ± 1.003
bvlR	PA2877 PW10298	8.776 ± 0.056	6.877± 0.665	8.846 ± 0.254	6.494 ± 0.68
	PA14_26880	8.096 ± 0.110	4.295 ± 2.310*	7.506 ± 0.115	4.872 ± 1.934
hcnA	PA14_36330	8.695 ± 0.365	4.034 ± 1.968*	8.178 ± 0.192	3.863 ± 0.674
orn	PA4951 PW9335	7.635 ± 0.308	6.868 ± 0.372	9.055 ± 0.553	4.645 ± 0.518
	PA14_65410	7.991 ± 0.327	4.880 ± 1.049*	7.502 ± 0.031	3.828 ± 0.452
sucC	PA14_43950	6.094 ± 0.136	4.787 ± 0.747*	6.927 ± 0.181	3.254 ± 0.509
cysZ	PA0846 PW2541	8.520 ± 0.068	5.991 ± 0.442*	8.385 ± 0.152	5.324 ± 0.150
	PA14_53330	8.229 ± 0.283	4.302 ± 1.661*	7.563 ± 0.144	4.216 ± 0.679
nuoJ	PA2645 PW5426	7.327 ± 0.543	6.765 ± 0.840	7.619 ± 0.212	5.524 ± 0.564
	PA14_29900	7.851 ± 0.119	6.328 ± 0.503	6.146 ± 0.214	3.429 ± 1.247
	PA4166 PW8062	7.812 ± 0.670	7.102 ± 0.814	8.552 ± 0.116	4.919 ± 0.609
	PA14_09990	8.414 ± 0.260	5.794 ± 1.315	7.793 ± 0.159	4.171 ± 0.928
opmQ	PA2391 PW5021	7.711 ± 0.348	6.339 ± 0.236*	8.639 ± 0.048	4.529 ± 0.775
	PA14_33750	8.222 ± 0.337	5.525 ± 0.978*	7.657 ± 0.030	4.226 ± 0.051
thiC	PA4973 PW9367	4.765 ± 0.356	2.194 ± 0.354*	4.609 ± 0.241	1.864 ± 0.015*
	PA14_65740	6.383 ± 1.677	5.272 ± 1.088*	4.974 ± 0.381	1.891 ± 0.098*

WT, wild-type. Data were analyzed by One-Way ANOVA and compared with the PA14 or PAO1 WT strains treated with 1 μg/mL NaOCl. *p < 0.05. AUC represents the average ± standard deviation of at least three independent experiments.

Most of the NaOCl responses previously reported in other studies are not specific to NaOCl but are rather employed by bacteria to survive the stress caused by different oxidizing agents (Da Cruz Nizer et al., 2021). Therefore, we conducted growth kinetics over time of the PA14 mutants identified and their PAO1 homologs to investigate if these genes are NaOCl-specific by exposing the mutants to 400 μg/mL H₂O₂. This concentration was chosen based on the growth curve of PA14 and PAO1 WT strains previously conducted (Supplementary Figure S1). As shown in the growth analyzes of Figure 4 and the AUC values in Table 3, the PA14 and PAO1 homologs tested were not susceptible to H₂O₂ under our experimental conditions, except for ΔthiC, which did not grow in the presence of 400 μg/mL H₂O₂. These results indicate that the susceptibility phenotypes found in our experiments are rather specific to NaOCl under our experimental conditions.

Figure 4.

Susceptibility of PA14 mutants and PAO1 homologs identified in the screening to H₂O₂. Overnight cultures were grown in LB at 37°C and 220 rpm. Then, cells were washed twice, resuspended in BM2 minimal medium, and treated with H₂O₂ at 400 μg/mL (final cell concentration of 1 × 10⁸ CFU/mL) for 20 h at 37°C. OD_600nm was recorded every hour using an epoch plate reader. (A) ΔnrdJa (PA14_72540/PA5497); (B) ΔbvlR (PA14_26880/PA2877); (C) ΔhcnA (PA14_36330); (D) Δorn (PA14_65410/PA4951); (E) ΔsucC (PA14_43950); (F) ΔcysZ (PA14_53330/PA0846); (G) ΔnuoJ (PA14_29900/PA2645); (H) PA14_09990/PA4166; (I) ΔopmQ (PA14_33750/PA2391); (J) ΔthiC (PA14_65740/PA4973). WT: wild-type; Uc: untreated control.

3.4. HCN affects NaOCl resistance in Pseudomonas aeruginosa

Among the mutants identified in our screening and follow-up MIC and growth analyzes (Table 2) was the ΔhcnA mutant, which presented increased susceptibility to NaOCl. For instance, it took approximately 11 h for the ΔhcnA mutant to reach an OD_600nm of 0.2, while the PA14 WT strain grew to an OD_600nm of 0.2 in only 5–6 h. After 20 h of growth, the ΔhcnA mutant exhibited an OD_600nm of 0.382, while the PA14 WT showed an OD_600nm of 0.6. Furthermore, the ΔhcnA mutant presented a MIC of 0.5 μg/mL, which was ¼ x MIC of PA14 WT. Given this pronounced increase in susceptibility, we focused the following analyzes on HCN and its contribution to NaOCl resistance.

Since HCN is produced by the hcnABC gene cluster in P. aeruginosa (Gilchrist et al., 2011), we evaluated if the absence of hcnB and hcnC also affects the susceptibility of P. aeruginosa to NaOCl by analyzing the growth of the corresponding PA14 and PAO1 ΔhcnB and ΔhcnC mutants at 1 μg/mL NaOCl for 20 h at 37°C. Like the ΔhcnA PA14 mutant, the corresponding PA14 and PAO1 ΔhcnB and ΔhcnC mutants showed an increase in susceptibility to NaOCl, presenting extended lag phase and reduced AUC compared to the WT strains at 1 μg/mL NaOCl. This phenotype seemed specific to NaOCl since these mutants did not present altered susceptibility to H₂O₂ at a final concentration of 400 μg/mL compared to WT strains (Figure 5; Table 4). These results confirm the importance of HCN production for P. aeruginosa survival under NaOCl stress conditions.

Figure 5.

Susceptibility of hcn PA14 and PAO1 mutants to NaOCl and H₂O₂. Susceptibility to NaOCl of (A) ΔhcnB and (B) ΔhcnC PA14 and PAO1 mutants. Susceptibility to H₂O₂ of (C) ΔhcnB and (D) ΔhcnC PA14 and PAO1 mutants. Overnight cultures were grown in LB at 37°C and 220 rpm. Then, cells were washed twice, resuspended in BM2 minimal medium, and treated with NaOCl at 1 μg/mL or H₂O₂ at 400 μg/mL (final cell concentration of 1 × 10⁸ CFU/mL) for 20 h at 37°C. OD_600nm was recorded every hour using an epoch plate reader. WT: wild-type; Uc: untreated control.

Table 4.

Area under the curve (AUC) of NaOCl and H₂O₂ growth curves of hcn Pseudomonas aeruginosa mutants.

Gene name	P. aeruginosa strains	NaOCl		H2O2
		Untreated	1 μg/mL	Untreated	400 μg/mL
	PAO1 WT	9.288 ± 0.875	7.946 ± 0.874	9.385 ± 0.747	5.542 ± 0.775
	PA14 WT	8.115 ± 0.983	7.310 ± 0.912	8.279 ± 0.748	4.253 ± 0.956
hcnB	PA2194 PW4739	7.507 ± 0.813	6.214 ± 1.074*	7.148 ± 0.092	5.199 ± 0.514
	PA14_36320	6.823 ± 0.504	3.626 ± 0.367*	6.739 ± 0.043	4.727 ± 0.161
hcnC	PA2195 PW4740	7.297 ± 112	5.727 ± 0.389*	6.718 ± 1.199	5.005 ± 0.395
	PA14_36310	5.389 ± 0.194	3.456 ± 0.294*	5.846 ± 0.337	3.407 ± 0.839

WT, wild-type. Data were analyzed by One-Way ANOVA and compared with the PA14 or PAO1 WT strains treated with 1 μg/mL NaOCl. *p < 0.05. AUC represents the average ± standard deviation of at least three independent experiments.

To test whether the increased susceptibility of the hcn mutants was due to the absence of HCN, we complemented the PAO1 mutant PA2194 PW4739 (ΔhcnB) by the transfer of the phcnBC plasmid, which expresses the genes hcnBC. Since both PA14 and PAO1 mutants presented increased susceptibility to NaOCl, we focused our analyzes on the PAO1 ΔhcnB mutant since this mutant has been characterized in a recent study (Létoffé et al., 2022). We assessed if the ΔhcnB mutant could be complemented by evaluating the release of HCN by our PAO1 strains using a semiquantitative method for HCN detection (Létoffé et al., 2022). When grown in LB for 24 h, both PAO1 WT and the ΔhcnB-phcnBC produced a detectable amount of HCN, while the ΔhcnB mutant did not produce HCN (Figure 6A).

Figure 6.

(A) Semiquantitative detection of HCN production by P. aeruginosa strains. cultures were grown in LB at 37°C and 220 rpm. Then, cells were washed twice and resuspended in LB. Two mL of overnight cultures were transferred to a small petri dish, which was covered by chromatography paper soaked in HCN detection reagent composed of copper (II) ethyl acetoacetate and 4,4′-methylenebis-(N,N-dimethylaniline) solubilized in chloroform. The small plates were placed in larger petri dish plates, which were covered. Production of volatile HCN was measured as the formation of blue color in the chromatography paper. The figures are representative of at least two independent experiments. (B) Susceptibility ΔhcnB-phcnBC complemented strain to NaOCl compared to PAO1 WT and PAO1 ΔhcnB. Overnight cultures were grown in LB at 37°C and 220 rpm. Then, cells were washed twice, resuspended in BM2 minimal medium, and treated with NaOCl at 1 μg/mL or (final cell concentration of 1 × 10⁸ CFU/mL) for 20 h at 37°C. OD_600nm was recorded every hour using an epoch plate reader. WT, wild-type; Uc, untreated control.

Then, we conducted growth kinetic analyzes to determine whether the production of HCN by P. aeruginosa increases its resistance to NaOCl. As shown in Figure 6B, it took 6 h for the complemented strain ΔhcnB-phcnBC to reach the OD_600nm of 0.2, similar to the PAO1 WT strain. Furthermore, no statistical difference in growth was found for the AUC of ΔhcnB-phcnBC and PAO1 WT when treated with 1 μg/mL NaOCl (Table 5). Together, these results indicate that growth delay in response to NaOCl in the PAO1 ΔhcnB mutant could be complemented by the insertion of the hcnBC-producing plasmid phcnBC, demonstrating that HCN plays a role in the resistance of P. aeruginosa to NaOCl.

Table 5.

Area under the curve (AUC) of NaOCl growth curves of PAO1-ΔhcnB- phcnBC.

	NaOCl
	Untreated	1 μg/mL
PAO1 WT	9.288 ± 0.875	7.946 ± 0.874
ΔhcnB- phcnBC	7.21 ± 0.050	7.078 ± 0.038

AUC represents the average ± standard deviation of at least three independent experiments.

3.5. Characterization of HCN-mediated resistance to NaOCl in Pseudomonas aeruginosa

In order to provide further insight into the underlying mechanism of the HCN phenotype found in this study, we formulated two hypotheses: (i) HCN-related NaOCl resistance is mediated by cellular effects caused by HCN, or (ii) HCN acts as an extracellular metabolite, directly reacting with NaOCl and quenching its antimicrobial effect. In a previous study, Frangipani et al. (2014) investigated the effect of endogenously produced HCN on P. aeruginosa by transcriptomic analysis. The authors identified four P. aeruginosa genes that were repressed in response to endogenously produced HCN and 12 genes induced in response to HCN. To test if any of these HCN-controlled genes are involved in NaOCl resistance, we conducted growth analyzes by exposing P. aeruginosa PAO1 strains with mutations on the identified genes to 1 μg/mL NaOCl and measured their growth for 20 h. Among the mutants tested, only the mutant with a mutation in the PA4134 gene, which synthesizes a hypothetical protein with unknown function, presented statistically different AUC compared to the PAO1 WT strain treated with NaOCl (Supplementary Figure S2; Table 6). This mutant strain presented an AUC (5.785 ± 3.059) similar to ΔhcnB (6.214 ± 1.074). The PA4134 gene forms a gene cluster together with PA4133, with PA4133 being located upstream of PA4134;¹ however, the PA4133 mutant did not show any significant difference in NaOCl susceptibility.

Table 6.

Area under the curve (AUC) of NaOCl growth curves of Pseudomonas aeruginosa PAO1 and PA14 strains.

P. aeruginosa strains		Regulation by HCN#	AUC ± SD
			Untreated	1 μg/mL NaOCl
PAO1 WT			9.288 ± 0.875	7.946 ± 0.874
PA14 WT			8.115 ± 0.983	7.310 ± 0.912
PA0433	PA0433 PW1792	↓	9.110 ± 0.503	7.682 ± 3.079
	PA14_05630		7.952 ± 0.268	7.624 ± 1.822
PA0434	PA0434 PW1793	↓	9.074 ± 0.311	6.904 ± 4.3
	PA14_05640		8.051 ± 0.323	6.828 ± 2.660
PA0435	PA0435 PW1795	↓	9.452 ± 0.502	7.005 ± 4.078
	PA14_05650		8.162 ± 0.38	7.520 ± 1.772
PA2299	PA2299 PW4885	↓	9.393 ± 0.366	8.354 ± 1.937
	PA14_15830		8.208 ± 0.190	7.609 ± 1.386
PA2328	PA2328 PW4927	↑	9.510 ± 0.164	8.565 ± 1.505
	PA14_41480		8.365 ± 0.455	7.592 ± 1.655
PA2329	PA14_02330	↑	8.137 ± 0.621	7.728 ± 1.317
PA2330	PA2330 PW4930	↑	9.368 ± 0.305	8.775 ± 0.830
	PA14_34490		7.709 ± 1.227	7.802 ± 1.517
PA2331	PA2331 PW7998	↑	9.490 ± 0.232	7.544 ± 1.839
	PA14_10540		8.232 ± 0.359	7.617 ± 0.615
PA3022	PA3022 PW6063	↑	9.181 ± 0.331	7.228 ± 2.425
	PA14_24980		8.038 ± 0.505	6.325 ± 1.978
PA4129	PA4129 PW7993	↑	9.113 ± 0.397	6.482 ± 1.977
PA4130	PA4130 PW7996	↑	9.290 ± 0.083	7.835 ± 0.936
	PA14_10550		6.401 ± 0.398	6.176 ± 0.577
PA4131	PA4131 PW7998	↑	9.367 ± 0.115	7.331 ± 0.316
	PA14_10540		8.238 ± 0.105	7.278 ± 0.483
PA4132	PA4132 PW8001	↑	8.879 ± 0.457	7.095 ± 1.207
	PA14_10530		7.652 ± 0.176	6.651 ± 0.933
PA4133	PA4133 PW8002	↑	9.595 ± 0.243	7.832 ± 0.309
	PA14_10500		6.479 ± 0.112	5.895 ± 0.227
PA4134	PA4134 PW8004	↑	9.748 ± 0.522	5.785 ± 3.059*

^#Gene regulation by endogenously produced HCN by transcriptomic analysis conducted by Frangipani et al. (2014). WT, wild-type. Data were analyzed by One-Way ANOVA and compared with the PA14 or PAO1 WT strains treated with 1 μg/mL NaOCl. ↓ gene downregulated and ↑ upregulated in the study conducted by Frangipani et al. (2014). *p < 0.05. AUC represents the average ± standard deviation of at least three independent experiments.

We then tested if the metabolite HCN itself would directly react with NaOCl and quench its toxic effect. For this, we first analyzed if removing HCN from the medium would change the susceptibility of ΔhcnB and PAO1 WT strains by evaluating the kill kinetics in response to NaOCl. Cells grown overnight were washed twice, resuspended in PBS to remove the HCN from the medium, and NaOCl was added to a final concentration of 2 μg/mL. The absence of HCN in the medium did not provoke a difference in the NaOCl susceptibility of PAO1 WT and ΔhcnB (Figure 7A), in which no statistical difference was found for the cell concentration over time for both strains. Overall, the growth analyzes and kill-kinetic results suggested that the susceptibility phenotype found for ΔhcnB is likely not due to a cellular effect.

Figure 7.

Effect of exogenous HCN on the susceptibility of P. aeruginosa to NaOCl. (A) PAO1 WT and ΔhcnB were grown overnight, washed twice, and resuspended in PBS. The OD_600nm was adjusted to 0.1, and the cell suspension was treated with 2 μg/mL NaOCl for 5, 15, 30, and 60 min. Then, CFU counts were determined by the drop plate method. (B) ΔhcnB, PAO1 WT, and ΔhcnB-phcnBC were grown overnight in BM2, and the supernatant was collected by centrifugation followed by filtration in a 0.22 μm filter. ΔhcnB overnight cells were resuspended in each supernatant to an OD_600nm of 0.1, treated with NaOCl at 4 μg/mL, and the CFU counts were determined by the drop plate method. ** p < 0.01.

Next, we aimed to complement the susceptibility phenotype of ΔhcnB with the supernatant from PAO1 WT and the complemented strain ΔhcnB-phcnBC. We used the culture supernatant of HCN-producing strains instead of the pure chemical HCN due to the high toxicity of HCN and its related forms [e.g., sodium cyanide (NaCN) and potassium cyanide (KCN)]. For this, we resuspended overnight ΔhcnB cells in the supernatants of ΔhcnB, PAO1 WT, and ΔhcnB-phcnBC grown in BM2 minimal medium. Then, the bacterial suspensions were treated with NaOCl at 4 μg/mL for 60 min. Figure 7B shows that the addition of PAO1 WT and ΔhcnB-phcnBC supernatants to cells of ΔhcnB complemented the ΔhcnB phenotype, and ΔhcnB cells showed increased resistance to NaOCl (percentage survival of 88 and 83%, respectively) compared to the ΔhcnB cells resuspended in ΔhcnB supernatant (17% survival). These results suggest that HCN reacts with NaOCl, quenching its lethal effect.

4. Discussion

Bacteria have developed several mechanisms to mitigate the harmful and often irreversible damage caused by oxidizing agents. Most of these resistance mechanisms are not specific but rather provide a general defense against a broad range of oxidizing agents. In this context, the knowledge of HOCl-specific responses is still limited (Gray et al., 2013; da Cruz Nizer et al., 2020). Among the HOCl responses described so far, ATP-independent chaperones are considered the immediate response against HOCl since they are readily activated by the oxidation of amino acid residues. These enzymes are essential for HOCl response since they do not require the expression of sensor mechanisms, which takes a long time compared to the fast action of HOCl on proteins (Goemans and Collet, 2019; Sultana et al., 2020). Other mechanisms include the activation of the transcriptional regulators HypT, NemR, and RclR and the formation of biofilms (Gray et al., 2013; Strempel et al., 2017; Da Cruz Nizer et al., 2020).

In this study, we demonstrated that the loss of KatA, KatE, AhpC, AhpF, and MsrA increases the susceptibility of P. aeruginosa PAO1 and PA14 to NaOCl compared to the WT strains, showing that these H₂O₂ responses are employed by this bacterium as a general response against oxidizing agents. We then identified 48 mutants with increased susceptibility to NaOCl and characterized 10 mutants in more detail. Among them, we found that HCN acts as a scavenger molecule and increases the survival of P. aeruginosa in the presence of NaOCl.

Most oxidative stress responses have been characterized for H₂O₂ and other ROS, while their roles in RCS and NaOCl resistance remain mostly unknown. Therefore, in the first part of this study, we showed by growth kinetics analyzes that well-known H₂O₂ responses are also involved in the survival of P. aeruginosa to NaOCl. Catalases and peroxidases are specialized enzymes that convert H₂O₂ into less toxic species (i.e., H₂O + O₂ and alcohol + H₂O, respectively; Cavinato et al., 2020). These enzymes are widely distributed among bacteria (Yuan et al., 2021) and are the primary response against oxidative stress (Romsang et al., 2013). P. aeruginosa has three catalases (katA, katB, and katE) and four alkyl hydroperoxide reductases (ahpA, ahpB, ahpCF, and ohr), in which KatA is considered the main catalase and its expression is controlled by various systems, such as OxyR, quorum sensing, and ANR (anaerobic regulator; Heo et al., 2010; Su et al., 2014). KatA and AhpA are continually expressed during bacterial growth, implying their importance as a defense not only during harmful conditions but also against endogenously produced ROS (Ochsner et al., 2000; Lee et al., 2005). Many studies have shown that the production of these detoxifying systems is upregulated by oxidizing agents in P. aeruginosa, such as H₂O₂ (Salunkhe et al., 2002; Palma et al., 2004; Chang et al., 2005; Small et al., 2007a,b), NaOCl (Small et al., 2007a,b; Groitl et al., 2017), hypobromous acid (Groitl et al., 2017), hypothiocyaous acid (Groitl et al., 2017) and peracetic acid (Chang et al., 2005). Furthermore, P. aeruginosa katA, katB, ahpB, and oxyR mutant strains were consistently more susceptible to H₂O₂ than the WT strains (Ochsner et al., 2000; Lee et al., 2005), corroborating our results. This susceptibility phenotype of kat and ahp mutants was also reported for other bacterial strains, such as Vibrio cholerae (Wang et al., 2012) and Stenotrophomonas maltophilia (Li et al., 2020). In the context of HOCl resistance, little has been explored on the roles of these enzymes in the resistance of P. aeruginosa toward this oxidant. The importance of detoxifying enzymes such as catalases has been described for Escherichia coli and Helicobacter pylori (Dukan and Touati, 1996; Benoit and Maier, 2016), in which catalases are considered a ubiquitous enzymes with quenching ability toward oxidizing agents in general (Benoit and Maier, 2016), corroborating our findings for P. aeruginosa. Considering that proteins are the main target of HOCl, another important stress response mechanism is the protein repair system Msr. P. aeruginosa and most bacterial species have two highly conserved Msr systems: MsrA and MsrB (Romsang et al., 2013). As for KatA and AhpA, MsrA is expressed during all growth phases, while MsrB is overproduced under oxidative stress conditions (Romsang et al., 2013). In accordance with our PA14 susceptibility results, PAO1 msrA and msrB mutants presented increased susceptibility to H₂O₂ and NaOCl in the study by Romsang et al. (2013). Hence, our findings report the involvement of kat, ahp, and msr genes in NaOCl resistance, adding to the previously described function of these response mechanisms.

We then performed a genome-wide mutant library screening of the PA14 transposon mutant library (Liberati et al., 2006) to find mutants with increased susceptibility to NaOCl. We were able to identify 48 genes with reduced MIC values toward NaOCl compared to PA14 WT, and we characterized 10 mutants (disrupted nrdJa, bvlR, hcnA, orn, sucC, cysZ, nuoJ, PA4166, opmQ, and thiC gene, respectively) in more detail (Table 2). Library screenings allow access to a large number of mutants carrying specific genetic alterations; therefore, researchers can simultaneously screen multiple mutants for the phenotype of interest in a short period. This approach is valuable for uncovering novel genes and pathways that contribute to bacterial resistance (Moser et al., 2014). Among them, two mutant strains, ΔcysZ and ΔopmQ, lacked genes involved in the transport of small molecules. The first one (ΔcysZ) has a mutation in a sulfate uptake protein. Proteins, mainly the sulfur-containing ones, are the main target of HOCl in the cells (Da Cruz Nizer et al., 2020); therefore, due to the reduction of the amount of sulfur in the cells due to its reaction with HOCl, the transport of this compound to the cells seems to be necessary (Farrant et al., 2020). The upregulation of transport and metabolism of sulfur genes by HOCl has also been described for E. coli and Salmonella enterica Serovars Enteritidis (Wang et al., 2009, 2010). Overexpression of genes involved in the transport of small molecules (Small et al., 2007a,b) has been detected by transcriptomic studies and has been implicated in the need of cells to allow the entry or exit of metabolites, such as toxic HOCl-by-products and compounds needed for cell metabolism (Albrich et al., 1986).

In accordance with previous reports about the oxidation of DNA by HOCl (Prütz, 1996), we found the nrdJa gene, which encodes for a ribonucleotide reductase and was previously reported to be involved in DNA repair (Torrents et al., 2005). NrdJa is crucial for growth under anaerobic conditions (Wu et al., 2005; Filiatrault et al., 2013) and was upregulated after ciprofloxacin exposure (Cirz et al., 2006). Furthermore, Crespo et al. (2017) also found increased transcription of nrdJ under H₂O₂ stress, supporting our findings (Crespo et al., 2017). Ribonucleotide reductases have also been shown to be used by many other bacteria, such as Bifidobacterium longum (Zuo et al., 2018), Bacillus subtilis (Castro-Cerritos et al., 2017) and E. coli (Monje-Casas et al., 2001) as a response mechanism to oxidative stress, mainly H₂O₂.

Considering the high metabolic diversity of P. aeruginosa, many genes and pathways remain to be explored regarding their secondary effects and possible roles in resistance. In this context, we identified two genes involved in energy metabolism (i.e., sucC and nuoJ) and one implicated in thiamine biosynthesis (thiC). Thiamine, for example, has been explored as a target in the development of antibiotics (Lünse et al., 2014; Kim et al., 2020), while energy metabolism genes, such as sucC and nuoH, nuoM, and nuoN have been shown to be downregulated in response to tobramycin in A. baumannii (Kashyap et al., 2022). Furthermore, transcriptomic studies have shown the downregulation of energy production genes in cells under HOCl (Small et al., 2007a,b). However, their contribution to oxidative stress remains to be elucidated.

In our screening, we also identified genes involved in the pathogenicity of P. aeruginosa by controlling virulence factors and resistance production (bvlR and orn). BvlR is a transcriptional repressor that belongs to the LysR-type transcriptional regulator (LTTR) family. It is upregulated during exposure to epithelial cells (Frisk et al., 2004) and controls several virulence factors in P. aeruginosa, indicating a role in the pathogenicity of this bacterium. BvlR represses the expression of the type 3 secretion system (T3SS), cupA-associated fimbrial-based surface attachment, and toxin A. Furthermore, it was shown to promote tight microcolony formation, which is associated with the formation of biofilms in the lung of cystic fibrosis (CF) patients (McCarthy et al., 2014). The oligorribonuclease Orn also affects T3SS production (Chen et al., 2016) and contributes to bacterial resistance to fluoroquinolones by a pyocin-mediated mechanism (Chen et al., 2017) and aminoglycosides, β-lactams and oxidative stress by influencing the translation of katA mRNA (Xia et al., 2019).

Another finding in our screening was a mutant with a disrupted hcnA gene. The absence of HCN in our P. aeruginosa mutant strains increased their susceptibility to NaOCl, while the complementation of ΔhcnB with an HCN-producing plasmid recovered the phenotype in our growth kinetic analyzes. HCN is a toxic volatile secondary metabolite as it has no apparent function in primary metabolism and is produced at later stages during the exponential phase and offers an advantage for the producing strain, which is tolerant to it (Blumer and Haas, 2000). It is synthesized by many bacterial genera, including Alcaligenes, Aeromonas, Bacillus, Pseudomonas, and Rhizobium (Blumer and Haas, 2000; Abd El-Rahman et al., 2019). In P. aeruginosa, HCN is synthesized by the HCN synthase, encoded by the hcnABC operon, and regulated by quorum sensing and the ANR regulator (Pessi and Haas, 2000). P. aeruginosa cultures produce up to 300 μM of HCN by the decarboxylation of glycine, and the hcnABC operon is induced by low oxygen (Blumer and Haas, 2000) and high cell density, with maximum production at the end of the exponential phase (Blier et al., 2012). The toxic effect of HCN is due to the inhibition of cytochrome c oxidase, impairing cell oxygen consumption and energy production (Zuhra and Szabo, 2022). P. aeruginosa has two systems to avoid HCN intoxication. One involves a cyanide-insensitive terminal oxidase, CioAB, which allows aerobic respiration in the presence of cyanide (Cunningham et al., 1997) and the other system is the enzyme rhodonase, which forms thiocyanate by the reaction with HCN (Cipollone et al., 2007).

HCN has been detected in the breath (Enderby et al., 2009; Smith et al., 2013) and the sputum and lung of CF patients (Ryall et al., 2008; Sanderson et al., 2008), suggesting that P. aeruginosa could also employ this metabolite as a virulence factor to increase its pathogenicity. Due to its high toxicity, HCN also exerts a toxic effect on non-producing strains (Zdor, 2015; Biswas and Götz, 2022). In this context, HCN produced by P. aeruginosa has been shown to control the growth of S. aureus, contributing to P. aeruginosa competition (Létoffé et al., 2022). Here we show that HCN also contributes to the survival of P. aeruginosa to the strong antioxidant NaOCl. Recently, studies have shown the effect of signaling molecules on the resistance profile of bacterial species (Li et al., 2022). Therefore, to investigate the HCN-mediated response to NaOCl in P. aeruginosa, we first tested the hypothesis that the production of HCN induces cellular mechanisms that, in turn, activate resistance mechanisms. For instance, indole produced by bacterial species induces bacterial resistance endogenously and exogenously by many mechanisms, including efflux pump regulation, biofilm formation, and induction of the persister state (Li et al., 2022). We then tested a list of P. aeruginosa genes that were up or down-regulated under endogenously produced HCN (Frangipani et al., 2014). Except for the gene PA4134, no NaOCl susceptibility was found for the mutant strains tested, suggesting that the NaOCl phenotype found in this study is likely not due to cellular regulation.

We then assessed if the NaOCl susceptibility found was due to the reaction of HCN with NaOCl and found evidence supporting the scavenger effect of HCN in the presence of NaOCl, quenching the toxic effect of this oxidizing agent. Due to its high reactivity, HOCl is known to react rapidly with sulfur- and nitrogen-containing compounds, producing chlorinated derivatives with impaired functions (Winterbourn, 1985; Pattison et al., 2012). In this context, the reaction between HCN and HOCl, the active ingredient of NaOCl in aqueous solution (Fukuzaki, 2006), forms CO₂, N₂, and HCl. However, due to its toxicity, we could not evaluate if adding HCN to P. aeruginosa would rescue the NaOCl-susceptibility phenotype found for the ΔhcnB mutant, and we used different supernatants from WT and HCN-deficient strains as an alternative approach.

It is believed that the production of HCN by bacteria serves various purposes, including defense mechanisms, helping the bacteria compete with other microorganisms for resources, and antimicrobial effect, inhibiting the growth of other microorganisms. Here, we have identified a new role for HCN produced by pathogenic bacteria as a NaOCl scavenger molecule, contributing to bacterial resistance under NaOCl stress conditions. We hypothesize that HCN is produced in the context of P. aeruginosa infection, such as wound infection in which the environment presents low oxygen levels, favoring anaerobic microorganisms (Versey et al., 2021), and helping in the fight against oxidative stress produced by the immune system or from exogenous sources. Many bacteria produce a wide array of virulence factors and secreted metabolites. Many of these secreted molecules have been shown to quench and neutralize the toxic effect of oxidizing agents. For example, melanin produced by bacteria is a free radical scavenger (Sichel et al., 1991; Agodi et al., 1996) that protects bacterial cells against oxidative stress (Rodríguez-Rojas et al., 2009; Thippakorn et al., 2018). The search for molecules that act as scavengers for antimicrobial agents or immune system factors and understanding these metabolites help develop new strategies to eradicate P. aeruginosa and fight infections and the spread of this bacterium.

Of note, due to the high reactivity of NaOCl and its active ingredient, HOCl, the chemistry behind the formation and consumption of RCS in media is complex (Peskin et al., 2005; Pattison and Davies, 2006). For instance, rich media such as LB have been shown to completely quench the oxidizing effect of HOCl, while in some buffers such as PBS, no change in the levels of RCS was detected (Ashby et al., 2020). In this context, in minimal growth media containing amine, chloramines can be formed by the chlorination of amino groups by the chlorine present in HOCl (Pál Fehér et al., 2019). Therefore, the amount of HOCl and other RCS will depend on the type of media used and their ability to quench HOCl as well as to produce other RCS.

5. Conclusion

Although much effort has been made to uncover the mechanisms employed by bacteria to resist oxidative stress, most of the studies have focused on H₂O₂, and the knowledge on adaption to RCS, including NaOCl, is still in its infancy. Our PA14 mutant library screening identified 48 genes and showed that P. aeruginosa relies on diverse mechanisms to survive the potent and often irreversible stress caused by NaOCl. Among them, we identified the hcnA gene and showed that HCN contributes to the resistance of P. aeruginosa by quenching the toxic effect of NaOCl. To our knowledge, this is the first study reporting the roles of HCN in NaOCl resistance.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.

Author contributions

WSdCN: Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Visualization, Writing – original draft, Writing – review & editing. MEA: Formal analysis, Investigation, Methodology, Writing – original draft. VI: Formal analysis, Investigation, Methodology, Writing – original draft. CB: Methodology, Writing – original draft, Investigation. JO: Methodology, Writing – original draft, Conceptualization, Funding acquisition, Project administration, Resources, Supervision, Writing – review & editing.

Funding Statement

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was funded by Carleton University and the Natural Sciences and Engineering Research Council of Canada (NSERC, RGPIN-2019-06335).

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

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Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2023.1294518/full#supplementary-material