Abstract
Lack of culturability in the viable but non-culturable (VBNC) bacteria and the ability to regain infectivity in favourable conditions is one of the new challenges of public health providers for Pseudomonas aeruginosa monitoring in environmental samples. Propidium monoazide quantitative polymerase chain reaction (PMA-qPCR) is one of the promising methods for timely detection of VBNC pathogens in environmental samples. We developed and used a method for the first time to detection of VBNC P. aeruginosa in swimming pool water samples using a membrane filter (MF). Moreover, the dominant model of the distribution of colonies on the MF and the effect of the culture medium and MF type on colony recovery by MF were evaluated. Swimming pool samples were subjected to conventional culture-based, qPCR and PMA-qPCR methods and the results were compared for the presence of VBNC P. aeruginosa in the samples. The positivity rate was 21% and 75% for P. aeruginosa in water samples as confirmed by standard culture-based and qPCR methods, respectively. Furthermore, of 24 samples, 9 (37.5%) were positive for VBNC P. aeruginosa. The developed qPCR/PMA-qPCR assay can detect the VBNC bacteria directly from aquatic samples and may result in better monitoring of recreational waters.
Keywords: Colony distribution model, gyrB, Propidium Monoazide–quantitative polymerase chain reaction (PMA-qPCR), Pseudomonas aeruginosa, Swimming pool, Viable but non-culturable (VBNC)
Introduction
Pseudomonas aeruginosa is a ubiquitous environmental opportunistic pathogen that is frequently isolated from swimming pools, hot tubs, and other recreational water environments. As a resistant bacterium to cleaning and disinfection [1], P. aeruginosa is the most common cause of outbreaks in spas and hot tubs and the second leading cause of waterborne diseases from recreational use [2]. Some diseases associated with this bacterium in the water are otitis, conjunctivitis, green nail syndrome, and pneumonia [3–5]. These non-intestinal infections commonly occur through direct exposure of the skin, ear and eye with contaminated water and inhalation of aerosols, especially in susceptible individuals; however, there are no reports of gastrointestinal infection due to ingestion of swimming pool water [6, 7].
International and national guidelines for detection and enumeration of P. aeruginosa are used as a basis for monitoring the presence of bacteria in recreational waters and protection of the public health against related diseases [7, 8]. However, conventional culture-based methods using the membrane filter (MF) are laborious and time consuming to achieve results [9, 10]. Moreover, regarding exposure to water disinfectants [11], these methods would underestimate the total viable P. aeruginosa because of failing to form colonies of viable but non-culturable (VBNC) bacteria in the laboratory media [5, 12]. Changes in physiological and biochemical properties [11] together with the reduced metabolic activity to the baseline levels make VBNC bacteria smaller, non-divisible, and more resistant to antimicrobial factors although these cells remain alive and can regain their pathogenicity under favorable conditions [13]. Therefore, timely detection of VBNC pathogens in relevant environments such as the water and food may be a critical issue in monitoring and prevention of disease outbreaks [14]. To contrast between viable, VBNC, and dead bacteria, some methods have been developed based on viability assays such as respiratory and metabolic activity measurement, cytoplasmic membrane integrity, immunological tests, fluorescent-based hybridization, and molecular methods for DNA and RNA hybridization probes in PCR and reverse transcriptase PCR [6, 12, 15]. Amongst these methods, direct DNA extractions followed by propidium monoazide quantitative polymerase chain reaction (PMA-qPCR) is one of practical methods for assessment of VBNC bacteria in environmental samples [11, 12, 16]. PMA is a DNA intercalating molecule that can differentiate between live and dead or membrane-damaged bacteria. It can selectively penetrate the damaged cells and form a stable covalent high-affinity bonds with DNA, following photo-activation exposure to strong visible light [17]. The DNA-PMA bond inhibits PCR amplification of the DNA strands of dead bacteria and eliminates false results and overestimation of the bacterial count due to extracellular and dead cells DNA in qPCR assays [18]. Therefore, quantification cycle (Cq) values in PMA-qPCR assay will be higher than Cq values in qPCR in the same sample containing dead bacteria [16]. The use of a hybridized probe makes PMA-qPCR a species-specific method to distinct dead/live cells even in environmental bacterial consortiums such as chlorinated swimming pools.
The rising resistance to disinfectants and antibiotics in P. aeruginosa strains is another public health concern regarding this opportunistic pathogen in swimming and recreational waters [1, 19]. It is expected that environmental strains of P. aeruginosa may be more susceptible to antibiotics. Nevertheless, due to genome complexity, acquired or mutational resistance, and presence of large attached bacterial colonies in some environments, P. aeruginosa may become resistant to several classes of antibiotics [20, 21].
To the best of our knowledge, no study has been performed on direct molecular detection and enumeration of VBNC P. aeruginosa in swimming pools. Therefore, a PMA pre-treatment qPCR method was developed to quantify VBNC P. aeruginosa directly from MF samples in natural water-related microbial matrices and the method was compared with qPCR and traditional culture-based methods.
Materials and methods
Sampling
Water samples (1.0 L) were collected from three different places, including the pool, hot tub, and shower water, of 8 circulating indoor swimming pools (totally 24 samples) in Tehran during periods of maximum bather load, in accordance with the Standard Methods for the Examination of Water and Wastewater [22]. To neutralize the residual chlorine, sodium thiosulfate were added to samples. In addition to the planktonic isolates in water samples, the presence of attached P. aeruginosa to the pool wall was investigated using sterile cotton-tipped swabs pre-moistened with Phosphate Buffer Saline (PBS). After removing non-attached bacteria from the walls by spraying saline solution, the likely biofilm/sediments were swabbed (0.3 × 20 cm2). The swabs were transferred to 2.0 mL microtubes containing PBS and were kept in cold storage until laboratory test. Free and total chlorine, temperature, and pH of the samples were recorded onsite, and turbidity was measured in the laboratory.
Quantification of P. aeruginosa by culture method
P. aeruginosa detection and enumeration from swimming pools water samples were performed as specified in the Iranian national standard method No. 8869 [23] established based on the international standard ISO 16266:2006 [24]. Briefly, 100 ml water from each sample was filtered through a 0.22-μm pore size, 47-mm diameter nitrocellulose MF (Schleicher & Schuell, UK). The MFs were cultured on selective P. aeruginosa M-PA-C agar (Himedia lab, India) and incubated at 42 °C for 24–48 h. The P. aeruginosa colonies were enumerated as described by ISO 16266:2006 [24]. Sampled swabs were vortexed vigorously, cultured on M-PA-C agar plates, and incubated as described for MFs. All confirmed positive colonies from water and swab samples were further tested by a combination of standard microbiological phenotypic and biochemical tests [25]. Moreover, species confirmation was performed by qPCR assay using gyrB418F/gyrB490R/gyrB444P primers and probe. The P. aeruginosa PAO1 was used as a control standard strain during all microbiological and molecular assays.
Primers and probes for qPCR
A highly species-specific set of primers and probe was previously designed to identify the gyrB target gene of P. aeruginosa, and analytical specificity was confirmed in 15 non-target species (Table 1) and 10 P. aeruginosa strains including two standard, two clinical (CF patients), and eight environmental isolates from Tehran, Iran (data not published). The sensitivity or limit of detection (LOD) of the method was determined using 10-fold serial dilutions of the DNA extracted from P. aeruginosa PAO1 with a range from 106 to 100 genomic equivalents (GE), and the Cq of the last signal of standard determined the LOD of qPCR assays (for cases of no detectable signal for NTC).
Table 1.
Bacterial strains used for analytical specificity test of gyrB target gene to identification of Pseudomonas aeruginosa
| Bacterial species | Strain ID | Source |
|---|---|---|
| Pseudomonas aeruginosa (PAO1) | ATCCa 15,692 | Pasteur Institute of Iran |
| Pseudomonas aeruginosa | ATCC 27833 | Pasteur Institute of Iran |
| Pseudomonas fluorescens | ATCC 13525 | IBRCb |
| Pseudomonas stutzeri | IBRC-M 10811 | IBRC |
| Pseudomonas syringae pv. syringae | IBRC-M 10702 | IBRC |
| Pseudomonas putida | ATCC 12633 | IBRC |
| Burkholderia cepacia | M 6c | |
| Stenotrophomonas maltophilia | SMH 85c | |
| Staphylococcus aureus | ATCC 6538 | PTCCd |
| Escherichia coli | ATCC 10536 | PTCC |
| Escherichia coli | ATCC 32218 | IBRC |
| Enterococcus hirae | ATCC 10541 | PTCC |
| Bacillus cereus | ATCC 9634 | IBRC |
| Salmonella typhimurium | ATCC 14028 | IBRC |
| Bacillus subtilis | ATCC 6633 | IBRC |
| Acinetobacter baumannii | ATCC 19606 | IBRC |
| Enterococcus faecalis | PTCC 1778 | PTCC |
a ATCC: American Type Culture Collection; b IBRC: Iranian Biological Resource Center; c Clinical strains; d PTCC: Persian Type Culture Collection
The sequences of the forward primer (gyrB418F), reverse primer (gyrB490R), and hydrolysis (TaqMan) probe (gyrB444P) used in qPCR assays were 5’-AACAAGGTCTGGGAACAGGTCTAC-3′, 5’-CATCGG TCTCGCCCACTTC-3′, and 5′-TAMRA-CCACGGCGTTCCGCAGTTCC-BHQ2–3′, respectively.
MF Colony and DNA recovery characteristics
In order to compare the results of qPCR and PMA-qPCR assays in a unique sample, we required to know whether the number of colonies on each of MF half was statistically distributed equally or not. Moreover, other objectives of this part of the study were to determine the effect of the type of MF and culture medium on colony formation on the MF, and to determine the analytical sensitivity of the developed method for direct extraction of DNA from MFs in qPCR. One fresh colony of P. aeruginosa PAO1 was grown overnight on a shaking incubator (100 rpm) at 37 °C in LB broth; 1 ml of the suspension was inoculated into 9 ml of the fresh LB broth and incubated for 1.5 to 2 h to obtain log-phase cells. Two milliliters of this suspension was pelleted at 400 x g, re-suspended in sterile PBS, and diluted to an OD595 of 0.1. Thirty-two 100 mL aliquots for two concentrations of P. aeruginosa (1.5E3 and 1.5E2 cfu/100 mL) were prepared in saline solution and used for determination of random distribution of colonies on MFs, and also for comparing the effect of two brands of MFs and two specific culture media (Cetrimide Agar and M-PA-Agar) on recovery of the colonies. The 100 mL samples were passed through the MF apparatus, and the obtained MFs were cut into two halves and each half was cultured at 37 °C. All cultured MF halves were photographed after 24 and 48 h, and the colonies were counted using the ImageJ software (National Institutes of Health, USA) environment [26]. Moreover, two series of serial 10-fold dilutions of spiked 100 mL samples (105 to 100 cfu/100 mL) were filtered; the MFs were cut into two equal halves and subjected to DNA extraction. The obtained qPCR results were analysed statistically in order to investigate the distribution of bacteria on MFs and determine the analytical sensitivity of the developed qPCR assay, including MF samples preparation and qPCR analysis.
Sample preparation and PMA treatment for qPCR
PMA (BLU-V Viability PMA Kit; Qiagen, Germany) was dissolved in RNase free water to obtain a 2.5 mM stock solution and stored in refrigerator in dark vials. An optimal concentration of 50 μM PMA was selected from previous studies in order to sample treatment with PMA [18, 27]. To investigate the effect of PMA on live and dead cells in both filtered and suspended format, the suspensions of P. aeruginosa PAO1 were prepared in two groups of 106 cfu/100 ml (200 mL samples) and 106 cfu/1 ml (1 mL vials), each one in three series (in triplicate) as shown in Fig. 1. First aliquots groups were heat treated in a water bath at 70 °C for 15 min to obtain VBNC bacteria, the second were exposed to 3 mg/L free chlorine for 15 min (dead cells) and the last remained untreated as viable control cells. To evaluate bacterial growth, 10 μL of each aliquot was cultured at 37 °C. The 200 mL samples were filtered and the MFs were cut into two equal halves; One series of the MF halves and 1 mL vials were subjected to PMA treatment, and then exposed to halogen light photoactivation (600 W; Osram, Germany). MF treatment with and without PMA was also done for 200-mL natural water samples of the swimming pool. The PMA-treated and untreated MF halves and vials were subjected to direct DNA extraction as described below.
Fig. 1.
Preparation of Pseudomonas aeruginosa PAO1 in 2 groups (200 mL filtered and 1 mL suspensions samples) and 3 series (heat treated, chlorine treated and untreated cells) to determine the effect of PMA on preventing DNA amplification of damaged cells in qPCR. The image was prepared in Edraw Max v. 9.2
DNA extraction and qPCR conditions
Each untreated and PMA-treated MF half obtained from spiked samples and the pool water was cut into thin strands (about 1 mm thick) on a sterile plate. These strands were placed into 2.0 mL microtubes containing glass pearl. The DNeasy Blood & Tissue Kit (Qiagen, Germany) was used for direct DNA extraction from MF samples with minor modifications. Briefly, 180 μL Buffer ATL and 20 μL proteinase K (20 mg/mL) were added to microtubes containing MF strands and glass pearl and vortexed for 5 min. Following incubation at 56 °C for 15 min, 200 μL of Buffer AL was added to microtubes and mixed thoroughly through vortexing. The microtubes were sonicated at 35 kHz for 2 minutesand the procedure was done following the kit manufacturer’s instructions. The purity of yielded DNA (OD260/280) was measured using Epoch microplate spectrophotometer (Biotek Instruments, USA)..
A total volume of 20 μL reaction mix, containing 7.5 μL of the Environmental Master Mix 2.0 (Life Technologies, USA), 0.1 μM of each primer and probe, and 5 μL genomic template DNA was used for qPCR. The thermal cycling condition included an initial denaturation at 95 °C for 10 min, 40 cycles of denaturation at 95 °C for 15 s, and an annealing step at 60 °C for 30 s. Data analysis was performed using the StepOne software v2.3.
Antimicrobial susceptibility testing
Antimicrobial resistance patterns of P. aeruginosa isolates from swimming pools were determined against 11 antibiotics using the standard Kirby-Bauer disk-diffusion method (Mast Co., UK) on Mueller–Hinton agar (Merck, Germany). Antimicrobial susceptibility of random colonies of one of the positive water samples was investigated to determine any difference in susceptibility between colonies from the same water source. Since the results of pre-screening tests did not show any difference, we randomly tested only two colonies (isolates) from each positive plate if two or more colonies were available. Totally, ten screened isolates from five positive plates were used in the disc diffusion method and the results were interpreted using Clinical and Laboratory Standards Institute methods [28].
Statistical data analysis
Statistical analysis was performed using the R software version 3.5.0 [29] and the plots were developed using the ‘ggplot2’ and ‘dplyr’ package. The normal distribution of the colony counting data was investigated using the Shapiro-Wilk normality test. The homogeneity of the variance in the mean number of colonies on different media (n = 2) and MFs (n = 2) was tested using the Fligner-Killeen test (P value>0.05). ANOVA were used to compare the mean number of colonies on different media and MFs. The post-ANOVA Tukey HSD test was applied to determine the difference between means (α = 0.05). In addition, parametric and nonparametric t–tests were used to compare the GE/Cq results of PMA-qPCR optimization and swimming pool samples before and after PMA treatment, respectively. Moreover, the 90% percentile of the culture-based and qPCR method results was used to compare the efficacy of methods for detection of P. aeruginosa in swimming pool samples. The tests were biologically and technically repeated at least twice, unless otherwise stated.
The two-way single score intra-class correlation coefficient (ICC) (95% CI) was calculated for test–retest reliability and assessing agreement between two MF halves series using the ‘irr’ package [30], and results equal to or greater than 0.8 were considered acceptable. The internal consistency between two series of half MFs was investigated by Cronbach’s alpha using the ‘rela’ package [31].
Results and discussion
Analytical specificity and sensitivity of developed qPCR assays
The selected gyrB418F/gyrB490R/gyrB444P primers and probe used for detection of P. aeruginosa in the study yielded negative results in all 15 non-target species (Table 1), while they amplified the target sequence of all 12 P. aeruginosa target isolates/strains. The qPCR amplified the target gyrB gene of P. aeruginosa PAO1 at a 10-fold serial dilution from 106 to 10 GE in all replicates with a linear and robust standard curve. Therefore, the sensitivity (LOD) of qPCR assay was determined as 10 GE (equivalent to 9.6 cfu/100 mL), with no detection signal for negative controls and an amplification efficiency of 107% (R2 0.99) as shown in Fig. 2.
Fig. 2.
Standard curve, sensitivity and efficiency of qPCR assay for 10-fold serial dilution (106–1 GE) of the Pseudomonas aeruginosa PAO1; Cq = − 3.147 log10 (GE) + 40.32
Detection of P. aeruginosa by standard culture-based and qPCR methods
Totally, 24 water samples and 16 swab samples were collected and analysed from eight public indoor swimming pools in the south and centre of Tehran, Iran. Out of 24 water samples and 16 swab samples from 8 swimming pools, 6 water samples (25%) from 5 and 2 swab samples from 2 swimming pools were contaminated with P. aeruginosa, as confirmed by the standard culture-based method, and one of positive samples was considered negative as confirmed by biochemical and qPCR tests. Contamination density ranged from 1 to 7 cfu/100 mL. The culture-based results of this study were in accordance with studies conducted in other Iranian cities. About 26%, 13%, and 21% of the samples taken from Shiraz [32], Isfahan [33], and Yazd [34] indoor swimming pools were positive for P. aeruginosa, respectively. However, a study conducted in Tehran reported a higher contamination rate of about 82% for positive samples [1].
All samples were also analysed using the qPCR method. The positivity rate for P. aeruginosa by qPCR was 18 (75%) in 8 swimming pools, ranging from 27 to 2090 GE (Table 2).
Table 2.
Comparison of results obtained by culture-based, qPCR, and PMA-qPCR (viable) methods for enumeration of Pseudomonas aeruginosa in Tehran indoor swimming pools
| Swimming pool code | Sample code | Sample type | Final count by reference culture (cfu/11 mL) method | Bio-Chemical confirmed colonies | qPCR confirmed colonies | qPCR (GE/100 mL) | PMA-qPCR (GE/10 mL) | Presence of VBNC P. aeruginosa |
|---|---|---|---|---|---|---|---|---|
| A | A1 | Shallow Pool | 0 | NTa | NT | 1032 ± 112 | 161 ± 1 | + |
| A3 | Semi-deep Pool | 0 | NT | NT | <LODb | <LOD | _ | |
| A4 | Shower water | 7 | + | + | 98 ± 8 | 76 ± 3 | + | |
| B | B2 | Shallow Pool | 0 | NT | NT | 81 | <LOD | _ |
| B3 | Hot tub | 0 | NT | NT | <LOD | <LOD | _ | |
| B4 | Shower water | 4 | + | + | 106 ± 31 | 96 ± 34 | + | |
| C | C1 | Deep Pool | 7 | + | + | 65 ± 7 | 60 | + |
| C2 | Shallow Pool | 1 | + | + | <LOD | <LOD | _ | |
| C3 | Hot tub | 0 | NT | NT | 668 ± 2 | <LOD | _ | |
| D | D1 | Semi-deep Pool | 0 | NT | NT | 27 ± 3 | 31 ± 3 | _ |
| D2 | Hot tub | 0 | NT | NT | <LOD | <LOD | _ | |
| D3 | Shower water | 0 | NT | NT | 46 ± 30 | <LOD | _ | |
| E | E1 | Semi-deep Pool | 0 | NT | NT | <LOD | <LOD | _ |
| E2 | Hot tub | 0 | NT | NT | 33 | <LOD | _ | |
| E3 | Shower water | 0 | NT | NT | 33 | <LOD | _ | |
| F | F1 | Semi-deep Pool | 0 | NT | NT | 372 ± 137 | 248 ± 31 | + |
| F2 | Hot tub | 3 | – | – | 134 | <LOD | _ | |
| F3 | Shower water | 0 | NT | NT | 95 | <LOD | _ | |
| G | G1 | Semi-deep Pool | 0 | NT | NT | 949 | <LOD | _ |
| G2 | Hot tub | 0 | NT | NT | <LOD | <LOD | _ | |
| G3 | Shower water | 0 | NT | NT | 292 ± 76 | 50 ± 24 | + | |
| H | H1 | Semi-deep Pool | 0 | NT | NT | 228 | 80 | + |
| H2 | Hot tub | 0 | NT | NT | 2090 ± 259 | 1350 ± 91 | + | |
| H3 | Shower water | 1 | + | + | 176 ± 27 | 143 ± 9 | + |
a NT: not tested; b < LOD: The GE/100 mL was lower than 10
As shown in Table 2, although one of the samples (F2) had positive results in the culture-based method, further biochemical and qPCR tests rejected the positivity of this sample. This finding can be due to the non-specific nature of the M-PA-C agar medium or the high phenotypic similarity of other species of the Pseudomonas genus to P. aeruginosa. However, standard culture-based methods for detection and enumeration of P. aeruginosa in water samples may have false-positive results [35]. Furthermore, the trustworthiness of other laboratory methods such as the API20NE identification system is under question, because they have been developed based on pathogenic species identification and therefore they often fails to identify environmental isolates [36]. This limitation, besides the long time (up to 6 days) to achieve results in culture methods [37], makes qPCR methods an appropriate alternative to identify P. aeruginosa in environmental samples [38].
In order to enumerate the bacteria in diluted environments such as treated water in which the bacterial count is low, it is necessary to concentrate the high volume of the samples by filtering it using the MF. Although plating MFs is a simple process in the standard culture method, complete bacterial isolation from an MF is a limitation in qPCR assays. Therefore, developing a method for direct extraction of the bacterial DNA from the MF is one of the critical steps in sampling aquatic environments to detect pathogens by qPCR methods. Comparison of culture-based and qPCR results in Table 2 emphasizes the efficiency of direct DNA extraction from MFs.
Statistical model of Colony and DNA distribution on MFs and recovery effect
The statistical results of the colony count on each of the two series of MF halves obtained from 32 samples and Cq obtained from 12 samples demonstrated that the filtered bacteria were randomly distributed on the MFs with a normal distribution (P value = 0.98). Moreover, variations between each two series of MF halves, in terms of bacterial count or bacterial GE, was not statistically significant (P value = 0.416). Also, the calculated ICC was greater than 0.8, and therefore, there was an excellent agreement between every two series of MF halves. Since the bacterial distribution on the MF followed a random and normal distribution, it would be applicable to use the results of bacterial measurement in parallel for both halves of the same MF to compare culture-based, qPCR and PMA-qPCR methods.
There were no statistical differences between the results of colony recovery from two tested culture media; however, the MF type had a significant effect on colony recovery at a concentration of 1.5E3 and the average of the recovered colonies in the MF brand A was significantly higher compared to brand B. The efficiency of the qPCR assay for direct DNA recovery from MFs was investigated using 10-fold dilutions (105 to 100 cfu/100 mL) and compared with the related count of colonies obtained by the aliquot and MF plating (data not shown). However, the analytical sensitivity of the qPCR assay (including sample preparation, extraction and qPCR) was determined to be 101 GE.
Effect of PMA treatment on Cq of viable, heat-treated and chlorine-Treated P. aeruginosa
The signal reduction capacity of PMA-treated MFs was assessed by comparing PMA-qPCR and qPCR assays for viable, VBNC and dead P. aeruginosa. Heat and chlorine treatment resulted in complete loss of P. aeruginosa culturability, as confirmed by plating a 10-μL aliquot from each suspension. When the Cq differences (ΔCq) of PMA-treated and untreated MF samples were compared, a maximal signal shift of about 4.5 and 13.5 to higher Cq values signals was observed for heat-treated and chlorine-treated P. aeruginosa PAO1 respectively, while this ΔCq was lower than 1 for viable (untreated) samples. The ΔCq (Cq differences before and after PMA process) of heat-treated and chlorine-treated P. aeruginosa were statistically significant and correlated with the defined range of 6 ± 2 for ΔCq of the damaged cells before and after treatment with PMA, as suggested by the kit manufacturer. The relatively high ΔCq of heat treated samples before and after PMA-treatment may be caused by partial damage to viable cells due to heat treatment. Therefore, it can be deduced that PMA treatment in described optimization can prevent qPCR amplification of DNA from damaged cells and cell-free DNA in water samples, while it has no significant effects on the viable and VBNC bacteria, which results in less overestimation of the bacteria by qPCR due to well discrimination between viable and dead P. aeruginosa. With a lower cytotoxic effect on intact bacteria in comparison to other molecular dyes such as ethidium monoazide (EMA), the probability of false negative results for PMA is negligible [39, 40], while the detection power of PMA-qPCR is much higher than the culture method. In addition, direct application of PMA to the MF, besides strong inhibition of DNA amplification, eliminates the further processes for detachment and resuspension of the bacteria from MFs that may result in missing the bacteria in low-count water samples.
Cross comparison of qPCR and PMA-qPCR methods for the determination of VBNC P. aeruginosa in natural samples
To evaluate the usefulness of the developed PMA-qPCR method for detection and enumeration of viable and VBNC P. aeruginosa in aquatic environments, 24 filtered water samples taken from swimming pools were tested simultaneously by the standard culture method, conventional qPCR, and PMA-qPCR (Table 2). Due to the different nature of the culture-based and qPCR methods, we were not able to calculate the pure numerical values for VBNC (cfu vs. GE unit), but with numerical comparison of the results of qPCR before and after PMA treatment with standard culture results, we were able to determine the presence of VBNC bacteria. As seen in Table 2, we have 3 critical column for results entitled final count by reference culture (cfu/100 mL), qPCR (GE/100 mL) and PMA-qPCR (GE/100 mL) that are related to “cultureable”, “dead, viable and VBNC” and “only viable and VBNC” p. aeruginosa respectively. Although the cfu and GE are different numerical unit and cannot be combined in an mathematical equation, but knowing that each bacterium has only one genome, so, each GE is exactly equal to one cfu for viable and VBNC bacteria. Therefore, according to the numerical data of the three columns we have given, we can distinguish between viable and VBNC bacteria. If we consider the unique nature for cfu and GE, then this equation may be applicable for VBNC calculation:
We proceeded with caution in this calculation and in the case of VBNC; we only mentioned the presence and absence (positive and negative) bacteria in Table 2.
The results of qPCR and PMA-qPCR were compared using the Wilcoxon signed rank test analysis and significant differences were seen in GE results before and after PMA treatment as expected (P value = 0.00038). A mean decrease of 2.21 log (163 GE) was observed after treatment of MFs with PMA. The positive results of samples taken from the swimming pool water tested for the presence of P. aeruginosa using the three methods are compared in Table 3. None of the samples taken from seven hot tubs were positive in the culture-based method, and only one of them were positive for VBNC P. aeruginosa. This results may be due to the high level of free chlorine and high temperature in hot tubs as measured during sampling (data not shown). On the contrary, the half of shower samples were positive for culture and VBNC, because the level of free and total chlorine in the water of all showers was zero. The high level of VBNC positive samples may be due to the effect of temperature on stimulating the bacteria to change their state to the VBNC mode. Also, this high positivity rate for shower samples may probably result from biofilm formation on the head, tap, and pipe connections of the showering system. It is proved that high temperature and disinfectant concentration can stimulate P. aeruginosa to shift to the VBNC mode as a resistant bacterial form [41]. However, the 90% percentiles of the results for culture-based and PMA-qPCR (viable bacteria) were 3.7 cfu/100 mL and 718 GE/100 mL that support the efficacy of molecular methods for detection of P. aeruginosa in environmental samples. Moreover, there was about 17% difference between positive results of culture-based and developed VBNC method in all samples, which makes qPCR assays along with PMA treatment a promising, rapid and relatively inexpensive alternative for detection and enumeration of P. aeruginosa in water samples.
Table 3.
Comparison of positive results of standards microbiological, qPCR, PMA-qPCR and VBNC presence from 24 swimming pool samples separated by the sampling point
| Swimming pool sampling point | Reference culture-based method | qPCR method | PMA-qPCR method | VBNC bacteria presence |
|---|---|---|---|---|
| Main pool water | 2/10 (20%) | 7/10 (70%) | 5/10 (50%) | 4/10 (40%) |
| Hot tub water | 0/7 (0%) | 4/7 (57%) | 1/7 (14%) | 1/7 (14%) |
| Shower water | 3/7 (43%) | 7/7 (100%) | 4/7 (57%) | 4/7 (57%) |
| Total water samples | 5/24 (21%) | 18/24 (75%) | 10/24 (42%) | 9/24 (37.5%) |
Susceptibility of P. aeruginosa isolates to antimicrobial discs
Totally, 10 P. aeruginosa colonies were isolated from four swimming pools (the isolate from a pool was not confirmed by biochemical and qPCR) were subjected to susceptibility testing. Except for isolates 2 and 7 that were intermediately resistant to Aztreonam and Ticarcillin/clavulanic acid respectively, the remaining isolates were susceptible to all 11 antibiotics. The antibiotic resistance of environmental isolates such as water samples may be less than clinical isolates [5]. In contrary, environmental isolates such as swimming pool strains are more resistant to antimicrobial disinfectants including chlorine [4, 42], especially non-human sources of P. aeruginosa. Another reason for the low rate of antibiotic resistant P. aeruginosa in our study may be the study design because only recreational pools were sampled and no sampling was done in therapeutic pools.
Conclusion
The present study shows that the selected gyrB418F/gyrB490R/gyrB444P as a high species-specific and sensitive set of primers and hydrolysis probe for molecular identification of P. aeruginosa, is a useful, valid and rapid alternative to conventional plate count methods. In this study, it is demonstrated that PMA treatment can be used to avoid the false positive results in qPCR through reduce the signal of damaged bacteria in filtered water samples. The developed PMA-qPCR method has no significant effect on viable and VBNC bacteria; thus, PMA-qPCR can detect the VBNC bacteria directly from aquatic samples, which helps to detect and prevent of pathogen outbreaks from water environments and facilitates the evaluation of health risks and quantitative microbial risk assessment. However, there is a limitation: the PMA-qPCR method can detect 10 GE of P. aeruginosa directly from MF samples. Nevertheless, the PMA-qPCR method is not affected by environmental confounder and can be used with accuracy in chlorinated recreational water samples. Other findings from this study are the random distribution of bacteria and effect of MF on the colony formation on the MF. Therefore, with precise selection of MF, equal parts of it can be used simultaneously to compare two or more test methods, such as qPCR/PMA-qPCR.
Acknowledgements
This study is a part of PhD thesis conducted by the first author submitted to Tehran University of Medical Sciences. The authors acknowledge the Center for Water Quality Research (CWQR), Institute for Environmental Research (IER) and Tehran University of Medical Sciences (TUMS), Tehran, Iran, for financially supporting this project (Project No: 96-01-46-34273).
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
Footnotes
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