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Deuterium isotope probing (DIP) on Listeria innocua: Optimisation of labelling and impact on viability state

  • Sylvain Trigueros,

    Roles Conceptualization, Data curation, Formal analysis, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliations ANSES, Laboratory for Food Safety, Boulogne-Sur-Mer, France, Department of Microtechnologies for Biology and Health, LETI, CEA, University Grenoble Alpes, Grenoble, France

  • Thomas Brauge,

    Roles Conceptualization, Methodology, Writing – review & editing

    Affiliation ANSES, Laboratory for Food Safety, Boulogne-Sur-Mer, France

  • Tommy Dedole,

    Roles Data curation, Formal analysis, Software, Writing – review & editing

    Affiliation Department of Microtechnologies for Biology and Health, LETI, CEA, University Grenoble Alpes, Grenoble, France

  • Sabine Debuiche,

    Roles Formal analysis

    Affiliation ANSES, Laboratory for Food Safety, Boulogne-Sur-Mer, France

  • Véronique Rebuffel,

    Roles Data curation, Formal analysis, Software, Writing – review & editing

    Affiliation Department of Microtechnologies for Biology and Health, LETI, CEA, University Grenoble Alpes, Grenoble, France

  • Sophie Morales,

    Roles Supervision, Writing – review & editing

    Affiliation Department of Microtechnologies for Biology and Health, LETI, CEA, University Grenoble Alpes, Grenoble, France

  • Pierre R. Marcoux,

    Roles Supervision, Writing – review & editing

    Affiliation Department of Microtechnologies for Biology and Health, LETI, CEA, University Grenoble Alpes, Grenoble, France

  • Graziella Midelet

    Roles Project administration, Supervision, Validation, Writing – review & editing

    graziella.midelet@anses.fr

    Affiliation ANSES, Laboratory for Food Safety, Boulogne-Sur-Mer, France

Abstract

An innovative approach, Raman microspectroscopy coupled with deuterium isotope probing (Raman-DIP), can be used to evaluate the metabolism of deuterated carbon source in bacteria and also to presume different anabolic pathways. This method requires the treatment of cells with heavy water that could affect the bacterial viability state at higher concentration. In this study, we evaluated the effect of heavy water incorporation on the viability state of Listeria innocua cells. We exposed the L. innocua suspensions to different heavy water concentrations (0%, 25%, 50% and 75%) from 30 minutes to 72 h of incubation times at 37°C. The total, viable and viable culturable populations were quantified by qPCR, PMA-qPCR and plate count agar respectively. We analyzed heavy water incorporation by Raman-DIP. The exposure of L. innocua cells to different concentrations of heavy water did not alter their cell viability to 24 h incubation time. In addition, the maximum intensity for C-D band, specific for the incorporation of heavy water, was reached after 2 h of exposure in a media containing 75% v/v D2O but an early detection of the labelling was possible at t = 1 h 30 min. In conclusion, the use of D2O as a metabolic marker was validated and can be developed for the detection of L. innocua cell viability state.

Introduction

The bacteria of the Listeria genus are Gram-positive, facultative anaerobic and non-spore-forming. The genus Listeria consists of twenty-six closely related species with the addition of a new species, Listeria swaminathanii, in December of 2021 [1]. Of these species, only Listeria monocytogenes is a serious threat to humans, causing a lethal disease called listeriosis. The European Food Safety Authority report on zoonoses and food-borne illnesses in Europe in 2021 indicates that listeriosis ranks 5th in terms of number of cases (with 4 to 5 cases per million inhabitants in Europe) but 1st in terms of number of deaths, with an estimated mortality rate at 17.6% in 2019 [2]. This pathogenic bacterium, L. monocytogenes, represents a major concern for food safety, as it can also persist in the industrial environment and (re)contaminate food. L. monocytogenes has already been shown in several epidemics, such as in 2015, when a strain persisting in the industrial environment regularly contaminated salmon products, causing listeriosis cases in Denmark, Germany and France [3]. A few very sporadic infectious cases have been described for Listeria innocua [4, 5]. However, in view of the exceptional nature of these cases, L. innocua is considered non-pathogenic (class 1 bacteria) and remains the preferred non-pathogenic model in laboratory instead of L. monocytogenes (class 2 bacteria) in view of their biochemical similarities [6]. L. monocytogenes is able to attach and form biofilms on different materials type found in the food-processing environment [7] and has been isolated in the same niches as L. innocua [8]. Microbiological criteria (commission regulation EC No 2073/2005, article 5.2) require manufacturers in the agri-food sector to control batches of product intended for consumption as well as their environment (premises, installations, equipment). This makes it possible to control and detect the persistence of a certain strain in an industrial environment. This persistence may be due to its resistance to cleaning and disinfection procedures, which have been shown to induce a viable but non-culturable (VBNC) state in bacteria [9]. VBNC bacteria have very low metabolic activity and do not divide [10]. Therefore, VBNC bacteria do not grow on standard microbiological media, used during microbiological controls in industry [11], but retain the ability to become culturable again under favourable conditions. VBNC pathogens, if retain the ability to grow again, pose a risk to consumers in the food industry [12]. Microbiological standard techniques are long, not very specific and need complementary techniques to confirm the identification. Therefore, there is a need for rapid, reliable, and early detection of L. innocua and L. monocytogenes regardless of its viability state. To date, many rapid detection methods have been developed for L. innocua and L. monocytogenes, and the most commonly used are polymerase chain reaction (PCR) based methods [13]. These techniques provide reliable detection of the viability state of L. innocua [14] and L. monocytogenes [9], but have high quantification thresholds. In recent years, vibrational spectroscopies such as Raman are attracting a growing interest as they analyse the chemical composition of bacterial cells. Raman spectroscopy has the advantages to be fast, applicable to single-cell, label-free and non-destructive, and can give the identification down to species, like Bacillus species [15, 16]. This technique, coupled with Deuterium Isotope Probing (DIP), appears to be an innovative tool to probe metabolic activity in a variety of microbial genus (E. coli, Bacillus subtilis, Bacillus thuringiensis) [17]. The authors showed differences in cellular D uptake that were due to different anabolic pathways of glucose and naphtalene [18]. Nevertheless, this method requires the incorporation of heavy water (D2O) by the bacterial cell. It has been shown to be able to disrupt metabolic pathways in many organisms [19], disrupting growth and biofilm formation in Pseudomonas aeruginosa and Streptococcus mutans [20] with exposure to 75 or 100% of D2O potentially stressing the bacteria and altering its viability status. To our knowledge, no study has investigated the effect of this metabolic marker (D2O) on the viability state of L. innocua cells. In this study, we evaluated the impact of D2O incorporation on the viability state of L. innocua cells (Viable Culturable (VC), VBNC, dead) by classical microbiology and molecular biology methods. We validated D2O incorporation by Raman microspectroscopy.

Material and methods

Bacterial strain and bacterial suspension

A strain of L. innocua ATCC 33090 stored at -80°C in a heart-brain broth (Biokar Diagnostics, Beauvais, France) was plated on Trypticase Soy Agar with 0.6% Yeast Extract (TSAYE) (Oxoid, Basingstoke, United Kingdom) and incubated for 24 h at 37°C. Several colonies were then picked with a loop, and suspended in sterilized physiological water (double distilled water with 9 g/L of NaCl). Concentrations of bacterial suspension were adjusted to obtain a final concentration at 1.108 CFU/mL.

Preparation of deuterated and non-deuterated nutrient media

A Trypticase Soy Broth supplemented with 0.6% (w/w) Yeast Extract (TSBYE) (Biokar Diagnostics) was prepared with distilled water (non-deuterated) or with D2O at 99.9% atom (Sigma Aldrich, Saint Quentin Fallavier, France) to obtain different deuterated nutrient media of TSBYE with 25%, 50%, 75% (v/v) of D2O.

Deuterated and non-deuterated bacterial suspension

One hundred microliters of the bacteria suspension at 1.108 CFU/mL was centrifuged at 5000 g for 10 minutes and the supernatants were removed. The pellet was resuspended either in 1 mL of non-deuterated (TSBYE broth without D2O) or in 1mL of deuterated nutrient media (TSBYE broth with 25%, 50% or 75% v/v D2O). The tubes of non-deuterated and deuterated bacterial suspension were then placed at 37°C and incubated at different times: 30 minutes, 1 h, 1 h 30 minutes, 2 h, 4 h, 6 h, 24 h, 48 h or 72 h. After incubation, the tubes were centrifuged at 5000 g for 5 minutes, then the supernatants were removed and 1 mL of sterilized water were added. The cells were resuspended by vortexing. The procedure was repeated twice and the pellets were resuspended either in 1300 μL of sterilized water for microbiological and molecular biological analysis, or in 200 μL of sterilized water for Raman microspectroscopy. The sample prepared for microbiological analysis and molecular biological analysis was divided into three tubes: 200 μL for agar enumeration, 495 μL for propidium-monoazide (PMA)-qPCR, and 495 μL for qPCR analysis.

Viable culturable bacterial enumeration

The suspensions were diluted to 10−2 and 50 μL were plated on TSAYE by a spiral plater (Easyspiral, Interscience, Saint Nom la Brétèche, France). After 24 h of incubation at 37°C, the bacteria were enumerated with a colony counter (Scan500, Interscience).

Propidium monoazide treatment

Five microliters of 5 mM propidium monoazide (PMA) (Biotium, Fremont, USA) was added to 495 μL sample for PMA-qPCR, for a final concentration of 50 μM. Samples with PMA were incubated for 5 minutes at room temperature in the dark, then photoactived with 100% light exposure for 10 minutes in an Eppendorf tube using a PhAST Blue lamp photoactivation system (GenIUL, Terrassa, Spain).

DNA extraction

The tubes without treatment or treated with PMA were centrifuged at 5000 g for 10 minutes at room temperature then the supernatant was removed. The pellet was resuspended in 180 μL of a lysis buffer, made with Tris(hydroxymethyl)aminomethane hydrochloride at 20 mM (Tris-HCl, Sigma Aldrich), Ethylenediaminetetraacetic acid (EDTA, Sigma Aldrich) at 2 mM; Triton X-100 (Sigma Aldrich) at 1.2% and lysozyme (Roche, Meylan, France) at 20 mg/ml. The DNA of samples without treatment or treated with PMA was extracted following the “Purification of Total DNA from Animal Tissues” of DNeasy®Blood & Tissue kit (Qiagen, Hilden, Germany). The elution step was carried out with 100 μL of AE buffer. The extracted DNA was then stored at -20°C.

Total and viable bacterial quantification by qPCR

qPCR was performed with a LightCycler® 480 System (Roche) using TaqMan probe. The qPCR consisted of 10 μL of 2× QuantiTect Prob PCR mastermix (Qiagen), 1 μL of each primer (Eurogentec, Liège, Belgium), 0.3 μL of probe mix (Eurogentec), 5 μL of DNA template, and nuclease free water (MediaTech Inc, Manassas, USA) in a total volume of 20 μL. L. innocua specific primers and probe targeting the single copy lin2483 gene [14]. Forward and reverse primers were as follows; 5′-ACATCAAGAAGAAGAAAAGCCTTATT-3′ (forward) and 5′-GCGTCGTTCCCATTCCATT-3′ (reverse). The probe sequence was 5′-FAM-CTTCCAATTCTTCTCGTTCTTGTCGTGC-BHQ-3′ which hybridized starting at nt +418 relative to the lin2483 translation start site (+1). Thermocycling was performed at the following conditions: 10 minutes at 95°C followed by 40 cycles of 10 s at 95°C and 60 s at 60°C. Standard curve was obtained using L. innocua ATCC 33090 DNA covering the range from 101 to 109 genome equivalents (GE) per mL. The equation of the standard curve was y = -3.3677x + 49.227, with aR2 = 0.9878 and an efficacity of 99%.

Raman microspectroscopic system for the D2O incorporation analysis

To each tube containing the pellet of non-deuterated or deuterated bacterial suspension, 200 μL of sterilized MilliQ water was added. One microliter was taken and placed on a clean quartz slide. The slide was then placed in the Raman system. A detailed description can be found in the works of these authors [16]. Briefly, the system allows targeting of bacterial cells thanks to imaging modalitied, and the measurement of single-cell Raman spectra using a confocal arrangement. The beam of a 532 nm, 50 mW laser (Spectra Physics Excelsior 532-50-CDRH) is attenuated and focused by a microscope objective (×100, 0.8 NA, Olympus LMPLFLN) in order to provide a spot size of 1 μm in diameter at the sample. Raman back-scattered light from an individual bacterium is collected by the same objective, filtered from Rayleigh light by a notch filter (NF03-532E, Semrock, New York, USA), and focused into the entrance fiber of a dispersive spectrometer (Hyperflux U1-532, Tornado Spectral systems, Toronto, Canada). The spectrometer featured at −15°C TE-cooled CCD, and spectral resolution of 10 cm-1 over the band 500–3400 cm-1. For each analysis point, namely a given configuration in terms of incubation time and D2O concentration, at least 60 bacteria cells were targeted and the corresponding Raman spectra were acquired. The Raman spectroscope acquisition parameter for each spectrum was tuned to 25 seconds and 250 mW, with our system that is a Lab custom system, not optimized for later industrial purpose.

Raman spectra processing for D2O incorporation quantification

For each single cell, the acquired Raman spectra is a 2048-components vector sampling the 500–3500 cm-1 region. Each spectra is denoised using a Savitsky-Golay polynomial fit. Then a baseline removal is performed, using a Clayton algorithm. It is important to note that the regions of interest of the spectra for bacteria analysis, characteristic of species for instance, are approximatively 800–1800 cm-1 and 2800–3200 cm-1. The molecular bond C-D, due to the replacement of H by D in the CH bond, induces a peak at 2150 cm-1, in a spectra region showing no other information, thus independent of bacteria species. The peak is large, not too sensitive to noise, and occurs at a known location. Its height is estimated by comparing its absolute height level to the one of its neighbouring areas. This relative and local height estimation allows an implicit normalization, and the result is unitless. The ratio of the average of the C-D band to the average of the surrounding regions (CDN) was calculated using this method:

Where CD is equal to the integral of the C-D band from 2100 to 2200 cm-1, Flat1 is equal to the integral of the C-D neighboring band from 1900 to 2020 cm-1, and Flat2 is equal to the integral of the neighboring band from 2350, 2450 cm-1. The mean and variance of this band height is computed over the (about) 60 samples of the analyzed configuration to determine theimpact of D2O concentration and time of exposure of bacterial suspension.

Statistical analysis

For molecular and microbiological analyses, all experiments were replicated six times (two replicates per experiment for three independent experiments). Data were analyzed using general linear model procedures in Statgraphics centurion V18 software (FRANCESTAT, Neuilly sur Seine, France). For all samples, analyses of variance (ANOVA) were performed to determine the impact of a) D2O concentration on bacterial suspension, b) time of exposure to non-deuterated and deuterated bacterial suspension on i) culturable, ii) viable, and iii) total populations of L. innocua. Differences were considered statistically significant at p < 0.05.

Results

Bacterial populations were quantified by plate counting (viable culturable population), PMA-qPCR (viable population) and qPCR (total population) after incubation of non-deuterated (control) and deuterated bacterial suspension (25%, 50% or 75% of D2O) at different times (Fig 1). The difference between quantification by qPCR assay and PMA-qPCR assay indicated the presence of a dead population and the difference between the quantification by PMA-qPCR assay and the enumeration on the agar plate indicated the presence of VBNC population. In the control experiment (non-deuterated bacterial suspension), the L. innocua populations increased from 8 to 9.7 log (GE/mL) for total population, and from 7.8 to 9.4 log (GE/mL) for viable population after 72 h of incubation at 37°C (Fig 1A). For the VC population, we observed an increase of this one from 7.2 log (CFU/mL) to 9.1 log (CFU/mL) after 24 h of incubation, and then a decrease to reach 7.7 log (CFU/mL) at 72 h. The viability state of L. innocua cells were VC for all incubation time, except at t = 48 h and at t = 72 h, demonstrating that a part of Listeria cells entered in a VBNC state. Similar tendencies have been observed for the quantification of VC, viable, and total populations in the three different deuterated (25%, 50%, 75%) bacterial suspensions until 24h exposure. Nevertheless, for the incubation time of 48 h, we observed the presence of VBNC population in the 25% deuterated bacterial suspension as well as in non-deuterated bacterial suspension (control), and at 72 h of incubation, we observed the presence of VBNC population in all deuterated and non-deuterated bacterial suspensions.

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Fig 1.

Quantification of total L. innocua ATCC 33090 population (Log (GE/mL)), viable population (Log (GE/mL)), and viable culturable population (Log (CFU/mL)) with A) 0%, B) 25%, C) 50% and D) 75% of D2O in nutrient media. The error bars represented the standard deviation (n = 6). Statistical significant differences were evaluated at p< 0.05 and represented by “*”.

https://doi.org/10.1371/journal.pone.0280885.g001

For single-cell Raman spectra, we were interested in the effect of different incubation times and different D2O concentrations on the appearance and evolution of the C-D band (Fig 2; S1 Fig). The intensity of the C-D band after 6 h of incubation of L. innocua cells in nutrient medium containing 25% D2O was around 0.9 AU. This same intensity of the C-D band was reached after 1 h 30 of incubation in nutrient medium containing 50% D2O and after 1 h of incubation in nutrient medium containing 75% of D2O. The influence of incubation time on the C-D band height was also observed for each D2O concentration. We observed that for a given incubation time, if the D2O concentration increased, the intensity of the C-D band increased mainly in the 2050–2180 cm-1 area. Then, we calculated the ratio of the average of the C-D band to the average of the surrounding regions (CDN) for each incubation time and each D2O. We observed that the intensity values of the C-D band followed the same tendencies for all the different conditions with initially an increase in the height of the band from 2 h of incubation, then a stationary phase from 24 h (Fig 3). Nevertheless, the different concentrations tested give different C-D band heights. After t = 1 h 30 of incubation of deuterated bacterial suspension, the band height was of 0.175 with 25% D2O, 0.225 with 50% D2O and 0.3 with 75% D2O. By specifically observing the dynamics of the C-D band height for the three D2O concentrations, we observed that there was an optimum of deuterium labelling that was related to D2O concentration. The band height in 25% and 50% deuterated bacterial suspension reached a stationary phase for the t = 1 h 30 of incubation time. This same stationary phase was reached at t = 2 h for the deuterated bacterial suspension containing 75% D2O. At t = 4 h, the height of the C-D band decreased slightly, and then was up again t = 6 h. The condition to integrate the maximum of D2O in L. innocua was therefore t = 2 h of exposure in a 75% deuterated media, but an early detection of the labelling was possible at t = 1 h 30.

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Fig 2. Raman spectra (1800–2500 cm-1) of single L. innocua cells grown in TSBYe with heavy water (0%, 25%, 50% and 75% D2O of nutrient medium water).

https://doi.org/10.1371/journal.pone.0280885.g002

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Fig 3. Quantification of the C-D band (between 2,040 and 2,300 cm−1) in non-deuterated (0% of D2O (curve blue) and deuterated (25% (curve orange), 50% (curve green), 75% (curve red) of D2O) bacterial suspension of L. innocua ATCC 33090.

Each points represents the mean height of the C-D band (n > 60). The coloured halo represents one standard deviation (n > 60). Statistical significant differences were noticed when blue halo is separated to other colored halo.

https://doi.org/10.1371/journal.pone.0280885.g003

Discussion

We were the first to evaluate the impact of labelling of D2O on the viability state of L. innocua. We studied the growth of L. innocua in the bacterial suspensions from 30 minutes to 72 hours in deuterated nutrient media (25% D2O, 50%, or 75%) at 37°C. The VC, viable and total bacterial populations were in the same quantities, of 7 log (CFU /mL) at t = 0 and increased to almost 9 log (CFU/mL) after 24 h of incubation time in all tested conditions. From this fact, only VC population was quantified in these bacterial suspensions and the VBNC or dead populations were not detected. Nevertheless, we detected a decrease of VC population, but the quantification of viable and total populations remained stable, suggesting the apparition of VBNC population after 48 h of incubation at 37°C in media without D2O and with 25% D2O, and at 72 h of incubation with 50% and 75% of D2O. The apparition of VBNC population in bacterial suspensions after 48 h or 72 h of incubation was not linked to incorporation of D2O by cells because it was observed also in the control experiment (without D2O). Incorporation of deuterium as a replacement for hydrogen did not cause sufficient stress to alter the viability state. However, it was possible that this was related to the depletion of the culture media. It has been shown in L. monocytogenes that starving bacteria can enter in VBNC state as a survival strategy in response to the nutrient stress [21, 22]. For the high D2O tested concentrations (50% and 75%), VBNC population appeared at 72 h of incubation while for control and 25% D2O concentration, VBNC population appeared earlier at 48 h of incubation. We suggest that high D2O concentrations may have slowed down the overall metabolism of the bacterial cells and thus delayed the depletion of the media in nutrients. At the moment, few works have showed an effect of D2O incorporation on bacterial cells because they were studied only the VC population. Indeed, in this study [17], bacterial cultures of Escherichia coli, Bacillus thuringiensis, and Bacillus subtilis containing different concentrations of D2O in nutrient medium at 37°C were followed at OD578nm during 24 h. At high D2O concentration (100%), they observed a significant effect on reducing the growth rate of E. coli and B. thuringiensis, but not for B. subtilis. The authors have tested the effect of different concentrations of D2O on the temporal variation of OD600nm for Aeromonas sp., Pseudomonas sp., E. coli and Staphylococcus aureus cultures [23]. They observed that only Aeromonas sp. showed slight growth inhibition for a concentration of 30% D2O or more. However, it was difficult to assess whether the D2O treatment had a stressful impact on these species because the OD of culture measured light scattering and not absorbance. The OD measured the evolution of dividing bacterial populations, the dead cells, the small air bubbles as living cells and the precipitation/ distort estimation of metabolic activity and it was directly related to the number of microorganisms in very low-density suspensions but a rather parabolic curve for higher density cultures. It was therefore not a sufficiently reliable measure to be able to assert the safety of D2O.

For the Raman measurements, the appearance of the C-D band in function of D2O concentration and incubation time was observed for L. innocua in bacterial suspension. The works reported the same type of observation on other bacterial species (E. coli, B. thuringiensis, Bacillus subtilis) [17]. The authors had observed that according to the type of metabolism of the cells, heterotrophic for E. coli, B. thuringiensis and Bacillus subtilis, autotrophic oxidizing nitrites for Nitrospira moscoviensis, autotrophic oxidizing ammonia for Nitrosophaera gargensis or autotrophic methanogens for Methanobrevibacter smithii and Methanocorpusculum labreanum, the appearance and intensity of the C-D band were different. Indeed, autotrophic microorganisms must reduce CO2 to produce biomass. This causes a stronger incorporation of hydrogen atoms from water than for heterotrophic organisms, and thus a stronger D incorporation. After 30 minutes of incubation, a part of the bacterial population in the deuterated media started to incorporate D2O with a presence of a C-D band on the spectra that was not observed on the control spectrum. After 2 h of incubation in deuterated media, a maximum incorporation level was reached, with a band height which did not vary over time but had a different maximum level depending on the concentration of D2O. A maximum intensity for C-D band, specific for the incorporation of heavy water, was reached after 2 h of exposure in a media containing 75% D2O but an early detection of the labelling was possible at t = 1 h 30. The replicates of measurements performed with the Raman spectroscope allowed us to have a statistical representation of the deuteration of the bacterial population, we saw that the level of deuteration of the cells (height of the C-D band) was positively correlated with the D2O concentration in the nutrient medium. These results were consistent with the works on Bacillus sp. and E. coli [17]. The authors have observed evolution of C-D band height in 30% of D2O, with an incubation time until 60 minutes for Pseudomonas spp., E. coli, Aeromonas sp. and Staphylococcus aureus [23]. They also showed that Gram negative bacteria (Pseudomonas spp., E. coli, Aeromonas sp.) had a higher C-D band than Gram positive bacteria (Staphylococcus aureus) with an equal exposure time to D2O, and this band increased with time. However, it is unclear whether the cultures, in that study, have reached a stationary phase in D incorporation because monitoring was stopped after 1 h of exposure. In our study, we have indeed observed that the amount of D incorporated by the cell was increasing until 1 h 30 at 25% and 50% of D2O and 2 h for 75% of D2O, followed by a stationary phase where the amount of D in the cell was stabilized. The undeniable advantage of Raman is the ability to characterize each cell individually in a sample and to give in a single measurement the information of the identification and the metabolic activity of the cell, which would be much faster and more precise than the cultivation methods currently used in companies. Moreover, the microscope coupled to the Raman spectrometer cannot visualize dead cells, which do not present any risk to human health.

Conclusion

In this study, we determined the impact of the D2O incorporation on the viability state of L. innocua by following the viability state of the bacterial population over time and by measuring its incorporation level by Raman spectroscopy. We showed that D2O incorporation had no impact on the viability state of L. innocua cells for all concentrations studied. In addition, we optimized the labelling protocol for DIP and we observed that the maximum intensity for C-D band was reached, in L. innocua, after 2 h of exposure to a media containing 75% v/v D2O but an early detection of the labelling was possible at t = 1 h 30 minutes. In conclusion, the use of D2O as a metabolic marker was validated. Raman-DIP can be developed as a tool for the detection of metabolically activity of L. innocua cells in different viability state (VC, VBNC or dead). Raman spectroscopy is already use as an identification tool of stressed and non-stressed food-related bacteria [24]. DIP-Raman spectroscopy could have a very useful application in food processing plants to characterize metabolic activity of bacteria from sampling on food matrix or surfaces.

Supporting information

S1 Fig. Representative complete Raman spectra of single L. innocua cells grown in TSBYe with heavy water (0%, 25%, 50% and 75% D2O of nutrient medium water).

https://doi.org/10.1371/journal.pone.0280885.s002

(TIF)

Acknowledgments

We would like to thank Cindy Ducrocq for the preparation of the deuterated and non-deuterated culture broths, as well as for the counting agars.

References

  1. 1. Carlin CR, Liao J, Hudson LK, Peters TL, Denes TG, Orsi R, et al. Soil collected in the Great Smoky Mountains National Park yielded a novel Listeria species, L. swaminathanii, effectively expanding the sensu stricto clade to ten species. BioRxiv preprint. In press;2021.12.21.473762.
  2. 2. EFSA. The European Union One Health 2020 Zoonoses Report. EFSA J [Internet]. 2021 [cited 2021 Dec 15];19(12). Available from: https://onlinelibrary.wiley.com/doi/abs/10.2903/j.efsa.2021.6971 pmid:36329690
  3. 3. EFSA. Multi-country outbreak of Listeria monocytogenes serogroup IVb, multi-locus sequence type 6, infections linked to frozen corn and possibly to other frozen vegetables–first update. EFSA support publ [Internet]. 2018 [cited 2020 Dec 10];15(7). Available from: https://efsa.onlinelibrary.wiley.com/doi/abs/10.2903/sp.efsa.2018.EN-1448
  4. 4. Favaro M, Sarmati L, Sancesario G, Fontana C 2014. First case of Listeria innocua meningitis in a patient on steroids and eternecept. JMM Case Rep. 2014;1(2):e003103.
  5. 5. Perrin M, Bemer M, Delamare C. Fatal Case of Listeria innocua Bacteremia. J Clin Microbiol. 2003 Nov;41(11):5308–9.
  6. 6. Orsi RH, Wiedmann M. Characteristics and distribution of Listeria spp., including Listeria species newly described since 2009. Appl Microbiol Biotechnol. 2016 Jun;100(12):5273–87.
  7. 7. Beresford MR, Andrew PW, Shama G. Listeria monocytogenes adheres to many materials found in food-processing environments. J Appl Microbiol. 2001;90(6):1000–5.
  8. 8. Aguado V, Vitas AI, García-Jalón I. Characterization of Listeria monocytogenes and Listeria innocua from a vegetable processing plant by RAPD and REA. Int J Food Microbiol. 2004 Feb 1;90(3):341–7.
  9. 9. Brauge T, Faille C, Leleu G, Denis C, Hanin A, Midelet G. Treatment with disinfectants may induce an increase in viable but non culturable populations of Listeria monocytogenes in biofilms formed in smoked salmon processing environments. Food Microbiol. 2020 Dec 1;92:103548.
  10. 10. Oliver JD. Recent findings on the viable but nonculturable state in pathogenic bacteria. FEMS Microbiol Rev. 2010 Jul;34(4):415–25. pmid:20059548
  11. 11. Besnard V, Federighi M, Cappelier JM. Development of a direct viable count procedure for the investigation of VBNC state in Listeria monocytogenes. Lett Appl Microbiol. 2000;31(1):77–81.
  12. 12. Fakruddin Md, Mannan KSB, Andrews S. Viable but Nonculturable Bacteria: Food Safety and Public Health Perspective. ISRN Microbiol. 2013;2013:1–6. pmid:24191231
  13. 13. Gasanov U, Hughes D, Hansbro PM. Methods for the isolation and identification of Listeria spp. and Listeria monocytogenes: a review. FEMS Microbiol Rev. 2005 Nov;29(5):851–75.
  14. 14. Løvdal T, Hovda MB, Björkblom B, Møller SG. Propidium monoazide combined with real-time quantitative PCR underestimates heat-killed Listeria innocua. J Microbiol Methods. 2011 May 1;85(2):164–9.
  15. 15. Rebuffel V, Baritaux JC, Bergmann E, Marcoux P, Espagnon I, Morales S. Results on identification of bacteria aging in complex environmental samples using Raman spectroscopy. In: Clinical and Preclinical Optical Diagnostics II (2019), paper 11075_18 [Internet]. Optical Society of America; 2019 [cited 2022 Feb 8]. p. 11075_18. Available from: https://opg.optica.org/abstract.cfm?uri=ECBO-2019-11075_18
  16. 16. Strola SA, Baritaux JC, Schultz E, Simon AC, Allier C, Espagnon I, et al. Single bacteria identification by Raman spectroscopy. J Biomed Opt. 2014 Jul;19(11):111610. pmid:25028774
  17. 17. Berry D, Mader E, Lee TK, Woebken D, Wang Y, Zhu D, et al. Tracking heavy water (D2O) incorporation for identifying and sorting active microbial cells. Proc Natl Acad Sci USA. 2015 Jan 13;112(2):E194.
  18. 18. Xu J, Zhu D, Ibrahim AD, Allen CCR, Gibson CM, Fowler PW, et al. Raman Deuterium Isotope Probing Reveals Microbial Metabolism at the Single-Cell Level. Anal Chem. 2017 Dec 19;89(24):13305–12. pmid:29135226
  19. 19. Kselíková V, Vítová M, Bišová K. Deuterium and its impact on living organisms. Folia Microbiol. 2019 Sep 1;64(5):673–81. pmid:31352668
  20. 20. Hirai K, Tomida M, Kikuchi Y, Ueda O, Ando H, Asanuma N. Effects of Deuterium Oxide on Streptococcus mutans and Pseudomonas aeruginosa. Bull Tokyo Dent. 2010;51(4):175–83.
  21. 21. Besnard V, Federighi M, Declerq E, Jugiau F, Cappelier JM. Environmental and physico-chemical factors induce VBNC state in Listeria monocytogenes. Vet Res. 2002 Jul 1;33(4):359–70.
  22. 22. Zolfaghari M, Rezaei M, Mohabbati Mobarez A, Forozandeh Moghaddam M, Hosseini H, Khezri M. Virulence genes expression in viable but non-culturable state of Listeria monocytogenes in fish meat. Food Sci Technol Int. 2020 Apr 1;26(3):205–12.
  23. 23. Guo L, Ye C, Cui L, Wan K, Chen S, Zhang S, et al. Population and single cell metabolic activity of UV-induced VBNC bacteria determined by CTC-FCM and D2O-labeled Raman spectroscopy. Environ Int. 2019 Sep 1;130:104883. pmid:31229870
  24. 24. Klein D, Breuch R, Reinmüller J, Engelhard C, Kaul P. Discrimination of Stressed and Non-Stressed Food-Related Bacteria Using Raman-Microspectroscopy. Foods. 2022 Jan;11(10):1506. pmid:35627076