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Article

Investigating Transcriptomic Induction of Resistance and/or Virulence in Listeria monocytogenes Cells Surviving Sublethal Antimicrobial Exposure

by
Eleni-Anna Kokkoni
1,
Nikolaos Andritsos
1,2,
Christina Sakarikou
1,
Sofia Michailidou
1,3,
Anagnostis Argiriou
1,3 and
Efstathios Giaouris
1,*
1
Department of Food Science and Nutrition, School of the Environment, University of the Aegean, Ierou Lochou 10 & Makrygianni, 81400 Myrina, Greece
2
Athens Analysis Laboratories S.A., Microbiology Laboratory, Nafpliou 29, 14452 Metamorfosi, Greece
3
Centre for Research and Technology Hellas (CERTH), Institute of Applied Biosciences, 57001 Thessaloniki, Greece
*
Author to whom correspondence should be addressed.
Foods 2021, 10(10), 2382; https://doi.org/10.3390/foods10102382
Submission received: 29 August 2021 / Revised: 26 September 2021 / Accepted: 5 October 2021 / Published: 8 October 2021
(This article belongs to the Special Issue Foodborne Pathogens and Food Safety)

Abstract

:
The potential transcriptomic induction of resistance and/or virulence in two L. monocytogenes strains belonging to the most frequent listeriosis-associated serovars (i.e., 1/2a and 4b), following their sublethal antimicrobial exposure, was studied through qPCR determination of the relative expression of 10 selected related genes (i.e., groEL, hly, iap, inlA, inlB, lisK, mdrD, mdrL, prfA, and sigB). To induce sublethal stress, three common antimicrobials (i.e., benzalkonium chloride, thymol, and ampicillin) were individually applied for 2 h at 37 °C against stationary phase cells of each strain, each at a sublethal concentration. In general, the expression of most of the studied genes remained either stable or was significantly downregulated following the antimicrobial exposure, with some strain-specific differences to be yet recorded. Thymol provoked downregulation of most of the studied genes, significantly limiting the expression of 6/10 and 4/10 genes in the strains of ser. 1/2a and ser. 4b, respectively, including those coding for the master regulators of stress response and virulence (SigB and PrfA, respectively), in both strains. At the same time, the two genes coding for the invasion internalin proteins (InlA and InlB), with crucial role in the onset of L. monocytogenes pathogenesis, were both importantly upregulated in ser. 4b strain. The results obtained increase our knowledge of the stress physiology of L. monocytogenes under certain sublethal antimicrobial conditions that could be encountered within the food chain and in clinical settings, and may assist in better and more effective mitigation strategies.

Graphical Abstract

1. Introduction

Listeria monocytogenes is an important Gram-positive pathogenic bacterium provoking listeriosis, a rare but quite life-threatening foodborne disease mainly for those belonging to vulnerable groups, such as the elderly and immunocompromised [1]. Based on the latest available data for Europe, 2621 confirmed cases of human listeriosis were recorded in 2019, resulting in 1234 hospitalizations and eventually 300 deaths, presenting an enormous case fatality ratio of 17.6% [2]. In the United States, L. monocytogenes is estimated to cause approximately 1600 cases of foodborne illness annually, resulting in 1500 hospitalizations (i.e., 94% hospitalization rate) and more than 250 deaths, with a similar death rate to that recorded in Europe, which for the susceptible individuals is further increased to 25–30% [3]. L. monocytogenes is known as a highly versatile microorganism that can skillfully adjust its physiology to confront various stress conditions, including high acidity or alkalinity, high osmotic concentration, existence of reactive oxygen species (ROS), increased or low temperature, allowing this way its survival and persistence in a wide range of environmental, food-associated, and clinical conditions [4]. That remarkable adaptation to stress is accomplished through global changes in many cellular constituents, including modifications in gene expression and protein activities [5]. All those changes enable this soil-living bacterium to successfully switch from a harmless saphrophyte to a powerful intracellular pathogen [6].
Many of the survival mechanisms that are exploited by L. monocytogenes are known to be controlled by the stress-inducible alternative sigma factor B (σB), which is the master regulator of the general stress response (GSR) in that pathogen [7]. It is thus known that σB controls in L. monocytogenes the expression of more than 300 genes, while it seems that it plays the same important role in several other Gram-positive foodborne pathogens, such as Bacillus cereus and Staphylococcus aureus [8]. Following consumption of the contaminated food and the survival of L. monocytogenes under the hostile conditions of the gastrointestinal (GI) tract [9,10], the subsequent victorious transit of the bacterium through the intestinal epithelial barrier, its intracellular growth, further proliferation, and dissemination relies on multiple virulence factors, the expression of the majority of which is under the control of the master regulator of virulence PrfA [11,12]. Alarmingly, L. monocytogenes can not only survive long-term in a stationary phase outside the host without compromising its virulence [13], but at the same time a complex overlap and crosstalk between σΒ and PrfA regulons also exist at transcriptional, post-transcriptional, and protein activity levels. In this way bacterium succeeds achieving a peculiar balance and coordination between stress resistance and virulence skills, depending on the environment [14,15].
Up to now, many studies have selectively examined the expression of key stress response and/or virulence genes in L. monocytogenes cells that have either grown in foods such as fruits and vegetables [16,17], cheeses [18], raw and processed meats [19,20,21,22], and fish [23], or have been exposed to low temperatures, acid and/or salinity stresses [24,25,26,27,28], or even in a simulated gastrointestinal environment [29,30]. Undoubtedly, all these studies have provided valuable information on the physiology and pathogenesis of that bacterium under some critical food-associated circumstances, revealing in some cases a worrying increase in pathogenicity following such habituation [31]. It is also recognized that after repeated exposure to some antimicrobials, L. monocytogenes can adapt to them, and apart from surviving, these bacteria can also display cross-resistance to other antimicrobials and stresses other than those already adapted [32,33].
Indeed, sublethal antimicrobial concentrations could also be accidentally encountered following an ineffective sanitization program (e.g., due to the dilution of disinfectants in the environment, biodegradation, cellular entrapment in places that are not easily reached by the disinfectants, and biofilm formation) [34] or even applied on purpose. This last is the case for several chemical preservatives added to foods in low doses just to delay bacterial growth [35]. Riskily, sublethal concentrations of ampicillin have also been described to exist in the central nervous system (CNS), even following daily intravenous administration at high quantities (12 g), explaining the clinical failure of that antibiotic to treat this severe invasive case of listeriosis infection [36]. The stress-hardening that may appear in L. monocytogenes following such sublethal exposures should also contribute to the environmental persistence and spreading of that pathogen throughout the food chain [37]. However, only a few studies have investigated whether and in which way low concentrations of antimicrobial compounds can affect the physiology of that bacterium at the level of gene expression [38,39,40].
Considering all the above, the objective of the current study was to quantify the relative expression of some key stress response and/or virulence associated genes in two L. monocytogenes strains belonging to the most frequent listeriosis-associated serovars (i.e., 1/2a and 4b) [41], which survived after exposure to three common antimicrobials, belonging to different classes and which among others are used within the food industry and/or in clinical settings. These consisted of a general-purpose synthetic biocide (i.e., benzalkonium chloride; BAC), a natural terpenoid of plant origin (i.e., thymol; THY), and a broad-spectrum beta-lactam antibiotic (i.e., ampicillin; AMP). More specifically, BAC belongs to the family of quaternary ammonium compounds (QACs), which are membrane-active agents and among the most used disinfectants in industrial, healthcare, home, and cosmetics settings [42]. THY is found in rich quantities in the essential oils of thyme and oregano, as well as of several other related herbs, most native in the Mediterranean region, and this is well-known for its many biological and therapeutic properties, including broad-spectrum antimicrobial action [43]. Lastly, AMP is widely used to treat many bacterial infections, caused by either Gram-positive or -negative bacteria, inhibiting bacterial cell wall (peptidoglycan) biosynthesis [44]. In addition, this is currently included among the drugs of choice for the treatment of invasive listeriosis [45].

2. Materials and Methods

2.1. Bacterial Strains and Growth Conditions

The two tested L. monocytogenes strains were the foodborne AAL20066 (ser. 1/2a) and AAL20074 (ser. 4b) isolates deposited in the microbial culture collection of the Microbiology Laboratory in Athens Analysis Laboratories S.A. (AAL). Both strains were previously recovered from mixed fresh salads and were kept frozen long-term (at −80 °C) in Trypticase Soya Broth (TSB; Condalab, Torrejón de Ardoz, Madrid, Spain) containing 15% (v/v) glycerol. When needed for the experiments, each strain was streaked on to the surface of Tryptone Soya Agar (TSA; Oxoid, Thermo Fisher Specialty Diagnostics Ltd., Hampshire, UK) and incubated at 37 °C for 24 h (preculture). Working cultures were prepared by inoculating a colony from each preculture into 10 mL of fresh TSB and further incubating at 37 °C for 18 h. Bacteria from each of those final working cultures were collected by centrifugation (2000× g for 10 min at 4 °C), washed once with quarter-strength Ringer’s solution (Lab M, Heywood, Lancashire, UK), and finally suspended in 5 mL of the same solution (ca. 109 CFU/mL). The purity of each cellular working suspension was verified through streaking on TSA plates.

2.2. Chemical Antimicrobials (BAC, THY and AMP)

BAC was bought from Acros Organics (Thermo Fisher Scientific, Geel, Belgium) (liquid, alkyl distribution from C8H17 to C16H33), THY was purchased from Penta Chemicals (Radiová, Prague, Czech Republic) (powder min. 99.0%, molar mass: 150.22 g/mol), while AMP was acquired from Cayman Chemicals (Ann Arbor, MI, USA) (crystalline solid ≥ 95% purity, molar mass: 371.4 g/mol). The stock solution of BAC (1% v/v) was prepared in sterile distilled water (dH2O), while those of THY and AMP (10% and 1% w/v, respectively) were prepared in absolute ethanol and were both subsequently filtrated by passing through disposable syringe filters (0.45 μm diameter; Whatman, Buckinghamshire, UK). All stock solutions were aliquoted and stored at −20 °C until needed for the experiments.

2.3. Determination of Minimum Inhibitory Concentration (MIC)

The MIC of AMP against the planktonic growth of each of the two bacterial strains was determined through the classical broth microdilution method, using sterile 96-well polystyrene flat-bottomed microtiter plates, as previously described [46]. In addition, the MICs of both BAC and THY had also been determined in that previous study. In sum, bacterial cultures of each strain (ca. 105 CFU/mL) in TSB, containing 10 different increasing concentrations of the antibiotic (ranging from 0.063 to 5 μg/mL), were statically incubated at 37 °C for 24 h and were then checked for turbidity (as a visible indication of bacterial growth). Wells containing inoculated medium with the bacteria without the antibiotic and wells containing only sterile medium were used as positive and negative growth controls, respectively. For each concentration, two replicate wells were used, while the experiment was thrice repeated starting from independent bacterial cultures.

2.4. Sublethal Antimicrobial Exposure and RNA Extraction

For each tested strain and antimicrobial, the freshly saline cellular suspension (prepared as described in Section 2.1) was aliquoted in two Eppendorf® tubes (2 mL in each one) and centrifuged (5000× g for 10 min at 4 °C). One of the two bacterial pellets was then suspended in 1 mL of the appropriate antimicrobial solution (i.e., 4.0 μg/mL BAC, 312.5 μg/mL THY, or 0.5 μg/mL AMP), while the second pellet was suspended in 1 mL of dH2O to be used as the untreated control sample. In the case of THY and AMP testing, the dH2O of the control sample also contained absolute ethanol at the concentration that existed in each working solution prepared for those two antimicrobials (i.e., 2812.5 and 50 μg/mL, for THY and AMP, respectively). Both samples (i.e., with the antimicrobial and its respective control) were incubated in a heating dry block for 2 h at 37 °C and were then immediately centrifuged (5000× g for 10 min at 4 °C). Supernatants were discarded and each pellet was washed with dH2O through an additional centrifugation step (5000× g for 10 min at 4 °C) to remove any antimicrobial residues. It should be noted that this washing procedure was sufficient for the efficient neutralization of each disinfectant, as this had been confirmed in preliminary experiments (through agar plating). Washed pellets were then placed on ice and directly used for RNA extraction using the RiboPureTM -Bacteria Kit (Part Number: AM1925, Ambion, Life Technologies, Carlsbad, CA, USA). Eluted RNAs were treated with DNase I to remove any trace amounts of genomic DNA (gDNA), following the protocol guidelines, before measuring their absorbances at 260 and 280 nm to determine their concentrations and purities. One microgram of each extracted RNA sample was also run on electrophoresis (1.5% w/v TBE agarose gel; 100 V for 30 min) to verify its integrity, using the ssRNA Ladder (N0362S, 500–9000 bp, New England BioLabs Inc., Ipswich, MA, USA) as the molecular weight marker. The rest of each RNA sample was stored at −80 °C until its use as substrate for the subsequent reverse transcription (cDNA synthesis) reactions. Each antimicrobial exposure experiment was thrice repeated, starting each time from an independent bacterial culture and always using freshly prepared working antimicrobial solutions.

2.5. Reverse Transcription (cDNA Synthesis)

A cDNA synthesis was conducted starting from 500 ng of each RNA sample using the PrimeScript™ RT reagent Kit (Cat. #RR037A, Takara Bio Inc., Shiga, Japan). Both oligo dT and random hexamer primers were included in the reaction mixture (10 μL) at final concentrations of 25 and 50 pmol, respectively, according to the manufacturer’s instructions. For each RNA sample, a no-reverse transcription control (NRTC), which did not contain the reverse transcriptase enzyme (PrimeScript RT Enzyme Mix I), was also prepared to evaluate (i.e., in the later qPCR reactions) the presence of any residual gDNA. All RT reactions were performed in a PeqStar 96 HPL Gradient Thermocycler (Peqlab, VWR International GmbH, Darmstadt, Germany) by initially incubating at 37 °C for 15 min (for the RT reaction) and subsequently at 85 °C for 5 s (to inactivate reverse transcriptase). All resulting cDNAs were stored at −20 °C until their use as substrates in the subsequent qPCR analyses.

2.6. qPCR for Quantitation of mRNA Transcripts

Each cDNA template was used to quantify the expression of each gene of interest (including the ten targets and two additional reference genes; Table 1), for each bacterial strain and antimicrobial treatment and in relation to the respective untreated control, in qPCR reactions prepared using the PowerUpTM SYBRTM Green Universal 2X Master Mix (Cat. No. A25780, Applied Biosystems, Thermo Fisher Scientific, Waltham, MA, USA). Each reaction mixture contained 10 μL of PowerUpTM SYBRTM Green 2X Master Mix, 400 nM of each primer, 10 ng of cDNA template and PCR-grade water to a total volume of 20 μL. A no-template control (NTC) was always included in each assay to exclude any external DNA contamination. Real-time PCR was conducted on a QuantStudio™ 5 Real-Time PCR Instrument (Applied Biosystems). The PCR program consisted of two initial 2-min incubations, first at 50 °C for the uracil-DNA glycosylase (UDG) activation and the second at 95 °C for the activation of the (hot-start) Dual-Lock™ DNA polymerase, followed by 40 cycles of denaturation at 95 °C for 1 s and primer annealing/extension at 60 °C for 30 s (fast cycling mode). At the end of the amplification protocol, a melting curve analysis was also performed to confirm the specificity of each qPCR reaction (excluding any nonspecific amplification). This consisted of an initial step at 95 °C for 15 s (1.6 °C /s), a second step at 60 °C for 1 min (1.6 °C /s), and a final step at 95 °C for 15 s (0.15 °C /s). The threshold cycle (CT) for each reaction was calculated using the QuantStudio™ Design and Analysis Software v1.5.1 (Applied Biosystems). For each strain and antimicrobial treatment, the relative quantification of the expression of each target gene was finally performed using the classical comparative ΔΔCT method [47] in relation to the untreated control samples (i.e., with no antimicrobial exposure). Two reference (internal control) genes (i.e., tuf, gap) were always included in each assay, and were both used in parallel for the normalization of the qPCR data for any differences in the amount of total cDNA added to each reaction [48]. Both had been found to present the most consistent expression at both strains (exposed at the different antimicrobial treatments) and had been selected in preliminary experiments from an initial pool of four potential candidates for such genes (also including 16S rRNA and rpoB). The efficiency (%) of each qPCR reaction (i.e., of each primer pair) had been also initially determined [49] (Table 1). Each qPCR reaction was performed in triplicate, while the data derived from a total of 1296 qPCR reactions were analyzed. These were the result of 36 different RNA/cDNA samples (i.e., 2 bacterial strains × 3 antimicrobials × 2 treatments (with and without antimicrobial exposure) × 3 biological repetitions) × 12 genes/sample × 3 technical replicates/gene.

2.7. Statistical Analyses for Differential Gene Expression

For each tested bacterial strain and antimicrobial, unpaired two-tailed Student’s t-tests were applied to the data to check for any significant difference in the expression of each target gene (expressed as log2(fold difference)) between the two treatments (i.e., with and without antimicrobial exposure). The same tests were also applied to check for any significant difference in the expression of each target gene between the two bacterial strains. All these tests were performed using the relevant function of Excel® module of the Microsoft® Office 365 suite (Redmond, WA, USA). Statistically significant expression differences were recorded at a P level of < 0.05. However, biologically significant ones were considered only those that in parallel presented a ǀ log2(fold difference) ǀ ≥ 1 between the two treatments [52].

3. Results and Discussion

All the antimicrobials applied here were previously verified for their strong killing efficiency against L. monocytogenes cells, as well as many other detrimental microorganisms [36,53,54]. Nevertheless, foodborne L. monocytogenes isolates displaying resistance to BAC [55,56] and enough times in parallel to other drugs, such as antibiotics and some other toxic compounds, have also been described [57,58]. Alarmingly, L. monocytogenes strains that are resistant to AMP have also been recovered from foods, mainly animal products probably due to the intensive use of antibiotics in animal farms [59,60,61,62]. Regarding THY and to the best of our knowledge, there are not any data available showing an increase in resistance or tolerance of L. monocytogenes cells following their sublethal habituation. Nevertheless, there are still some previous studies showing adaptive responses and increased survival of other bacteria following exposure to sublethal concentrations of even that natural monoterpenoid phenol [63,64]. The MIC of AMP against both bacterial strains was found equal to 0.125 μg/mL. This is a value similar to those described in the literature for that antibiotic and bacterial species [53,65]. Similarly, the MICs of BAC and THY previously determined equal to 2 and 78.1 μg/mL, respectively, against both strains [39], were similar to the ones previously reported for those compounds against that pathogenic species [56,66]. Surely, all those specific MIC values do not denote any resistance of the two strains employed here, thus confirming their initial sensitivity against all three antimicrobials. For the subsequent sublethal treatments, stationary phase cells of each serovar were exposed against a selected super-MIC (still sublethal) value of each antimicrobial. The specific concentrations tested had thus been previously shown to not cause any significant reduction in the numbers of viable and culturable cells of each strain (data not presented). Thus, all the subsequent RNA extractions were done starting from equal bacterial numbers (ca. 109 CFU), to minimize the variability between the different treatments. Antimicrobial exposure was done at 37 °C, which is in the range of optimum temperatures for the planktonic growth of L. monocytogenes cells (i.e., 30–37 °C) just for not causing any additional thermal stress to the bacteria, while those latter had been left to enter a non-growing stationary phase before the antimicrobial challenges to imitate the bacterial physiological state in which increased resistance against various stresses is normally established [67].
The log2(fold differences) in genes’ expressions for both strains and all three antimicrobials are shown in Figure 1. In general, the expression of most of the studied genes remained either stable or was significantly downregulated following the antimicrobial exposure, with some strain-specific differences to be yet recorded. THY was the compound that provoked downregulation of most of the studied genes, significantly limiting the expression of 6/10 genes in one strain (ser. 1/2a), and 4/10 genes in the other strain (ser. 4b), including those coding for the master regulators of stress response and virulence (SigB and PrfA, respectively), in both strains (Figure 1 and Table S1). In agreement, sub-inhibitory THY concentration (0.50 mM) was previously described to reduce the expression of some key virulence genes in three L. monocytogenes strains and in parallel decrease their in vitro attachment to and invasion of human cells, motility, hemolysin production, and lecithinase activities [68]. Nevertheless, at the same time in the current study, the gene coding for the invasion surface protein internalin A (InlA), with crucial role in the onset of L. monocytogenes pathogenesis [69], was importantly (more than threefold) up regulated in ser. 4b strain (Figure 1B). Noteworthy, the same gene was also previously shown to be significantly overexpressed in the cells of another clinical isolate of L. monocytogenes belonging to the same serovar (Scott A strain) that survived exposure (for 1 h at 37 °C) to sublethal concentrations (40–100 μg/mL) of the essential oil of thyme [70].
Another gene with similar significant upregulation was that coding for the multidrug resistance transporter MdrD in ser. 1/2a strain following its exposure to BAC (Figure 1A). The expression of that gene was previously found to be significantly upregulated in L. monocytogenes cells during their intracellular growth in macrophages, over its level during growth in laboratory medium, thus suggesting an active role during infection [71]. In another study, the same gene was also found to be upregulated under acidic conditions (pH 5.0 vs. pH 7.3) [72]. Two other genes with statistically significant upregulation were iap in ser. 1/2a strain following exposure to BAC (Figure 1A), and inlB in ser. 4b stain following exposure to THY (Figure 1B). However, it should be noted that both recorded upregulations were slightly below the margin usually set for biologically significant differences (i.e., doubling or halving of mRNA transcripts in treated samples compared to the untreated ones; equal to a value of ǀ log2(fold difference) ǀ = 1).
The iap gene of L. monocytogenes encodes the invasion-associated surface protein p60, a highly antigenic protein necessary for septum separation and known to affect adherence of L. monocytogenes cells to, and their uptake by, mammalian cells [73]. Interestingly, this gene has been found to be activated during growth of the pathogen in a dry-cured ham model system under osmotic stress and incubation at 15 °C [24], while in another study, it was worryingly confirmed that this gene was still expressed after 6 months of incubation of the pathogen in artisanal cheese at −20 °C [74]. Long-term adaptation of L. monocytogenes EGD-e strain (ser. 1/2a) to either acidic (pH 5.5) or NaCl (4.5% w/v) stress has also been found to induce transcription of iap [27]. The inlB is the second gene of the two-genes internalin operon (the other being inlA), which has been known for several years to play an important role for the entry of L. monocytogenes into epithelial cells [75]. The simultaneous upregulation of both inlA and inlB genes that was observed here following exposure of ser. 4b strain to THY is surely a case for concern. On the other hand, the expression of both those genes remained rather constant at ser. 1/2a strain, without being changed following the antimicrobial exposures (independently of the applied antimicrobial) (Figure 1A). The expression of both iap and internalin genes in a strain-dependent manner was previously shown, by microarray, during growth of three L. monocytogenes strains, belonging to different serovars (1/2a, 4b, and 3c), in meat juices [22].
The expression of groEL, hly, lisK, and mdrL genes was here significantly downregulated following the exposure of L. monocytogenes bacteria to at least one of the three antimicrobials (i.e., BAC, THY, and AMP) (Figure 1 and Table S1). The groEL encodes a molecular chaperone that is among the most highly conserved proteins in nature, and this is known to be involved in the cellular general stress response. In bacteria, GroEL has been found to be synthesized at high levels following their exposure to abusive environmental conditions [76]. However, in this work, the expression of this gene did not significantly change following the antimicrobial exposure, except in strain AAL20066 after its exposure to AMP (although still occurring in levels much lower those typically set for biologically significant differences). The hly is a key virulence determinant in L. monocytogenes encoding the hemolysin Listeriolysin O (LLO), which has been extensively characterized for its crucial role in pathogenesis of listeriosis by promoting cell-to-cell spread and thus efficient bacterial dissemination during infection [77]. The lisK encodes the histidine kinase of the two-component signal transduction system LisRK that is involved in the growth of L. monocytogenes at low temperatures, as well as in the response of this bacterium to a number of antimicrobial agents, such as ethanol, hydrogen peroxide, nisin, and cephalosporins [78,79]. Nevertheless, none of the three antimicrobials tested in the present study was able to induce expression of this gene. Lastly, mdrL encodes a major facilitator superfamily (MFS) efflux pump that is involved in tolerance of L. monocytogenes to BAC [80]. However, in this work, this gene was surprisingly found to be significantly downregulated following the exposure of AAL20074 strain to BAC, as well as following the exposure of both strains to AMP.
In addition to the upregulation of iap and mdrD (following exposure of ser. 1/2a strain to BAC) and inlA and inlB (following exposure of ser. 4b strain to THY), no other gene was found to be significantly induced here following the antimicrobial exposure (Figure 1 and Table S1). In addition, it is worth noting that the two genes sigB and prfA coding for the master regulators of stress response and virulence, respectively [14], were both significantly downregulated in almost all cases (except prfA in strain AAL20066 and sigB in strain AAL20074 whose expression, although decreased, did not significantly change following exposure to AMP). This is rather reassuring since it implies that, in general, L. monocytogenes are not likely to induce either resistance or virulence following the exposure to one of the three antimicrobials tested here. Nevertheless, there are some other previously published studies that showed an alarming increase in the expression of some key stress response and/or virulence-associated genes following sublethal exposure of cells of that pathogenic species to some common antimicrobials [38,39,40].
In one such study, Kastbjerg et al. (2010) developed an agar-based assay to examine the effect of 11 disinfectants used routinely in the food industry (left to act from 15 to 180 min), representing 4 different groups of active components, on the expression of promoters of 4 virulence genes (prfA, plcA, inlA, and hly) in L. monocytogenes strain EGD [38]. Northern blot analysis was also performed to validate transcript levels. Disinfectants with the same active ingredients were found to have a similar effect on gene expression. Thus, peroxides and chlorine compounds reduced the expression of virulence genes, whereas QACs (five products tested) induced the expression of these genes. In another similar study, Rodrigues et al. (2011) used qPCR methodology to study the expression of prfA and another stress-response gene (clpC) in surviving L. monocytogenes biofilm cells following their 15-min exposure to 4 disinfectants (sodium hypochlorite at 800 μg/mL, a commercial BAC-containing product again at 800 μg/mL, hydrogen peroxide at 9%, and triclosan at 0.4%) [39]. The results showed that the expression of both genes was significantly increased in the surviving cells compared to the controls. Using the same methodology, Tamburro et al. (2015) evaluated the relative expression of mdrL, ladR, lde, sigB and bcrABC genes in 20 L. monocytogenes strains of either food or clinical origin, following sublethal 5-min exposure to 10 μg/mL of BAC, finding a significant association between increased BAC resistance and both mdrL and sigB overexpression [40].
Surely, the way the genes are transcribed in each bacterium is a rather complex procedure, influenced by its genetic make-up, the (changing) environments (both past and present), and their mazy interactions [81]. It is also known that genes’ expression may significantly vary between identically treated but different strains of the same bacterial species, or even stochastically among the cells within clonal populations [82]. Interestingly, that strain-dependent expression of stress response and virulence genes has been previously shown in L. monocytogenes [22,83] and was reconfirmed here for 4 out of the 10 tested genes (iap, inlA, inlB, and mdrD), also depending on the tested antimicrobial (Figure 1 and Table S1).

4. Conclusions

In general, the exposure of two foodborne L. monocytogenes strains, belonging to different listeriosis related serovars (i.e., 1/2a and 4b), to a selected sublethal concentration of each one of three common antimicrobials (i.e., BAC, THY or AMP) did not result in the transcriptomic induction of most of the key stress response and virulence-associated genes that were studied here. Nevertheless, the significant overexpression of the two genes of internalin operon (inlA, inlB) in one of the two strains (ser. 4b) following exposure to THY may be a cause for concern and should be further explored (e.g., in future in situ virulence studies employing cell cultures). In addition, the in-parallel implementation of high-throughput technologies able to globally explore and unravel the transcriptome of L. monocytogenes cells surviving biocidal actions of such and/or other common antimicrobials (e.g., through RNA sequencing; [84]) will increase our limited—for the time being—knowledge on the stress physiology of this important foodborne pathogenic bacterium, with hope to improve its control within the food chain and in clinical settings, ultimately protecting public health.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/foods10102382/s1, Table S1: Statistically significant changes (: up regulations; ↓: down regulations; P < 0.05) in the expressions of the 10 target genes (groEL, hly, iap, inlA, inlB, lisK, mdrD, mdrL, prfA, sigB) at the 2 L. monocytogenes strains AAL20066 (ser. 1/2a) and AAL20074 (ser. 4b), following their sublethal exposure (for 2 h at 37 °C) to BAC (4.0 μg/mL), THY (312.5 μg/mL) or AMP (0.5 μg/mL), in comparison to the untreated controls (no antimicrobial exposure). ∞: no significant change.

Author Contributions

Conceptualization, E.G.; methodology, E.G.; validation, E.-A.K.; formal analysis, E.G.; investigation, E.-A.K., N.A., C.S., and S.M.; resources, E.G.; data curation, E.-A.K. and E.G.; writing—original draft preparation, E.G.; writing—review and editing, N.A., S.M., A.A., and E.G.; visualization, E.G.; supervision, E.G.; project administration, E.G.; funding acquisition, E.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded in the context of the project “Transcriptional determination of combinatory induction of resistance (stress adaptation) and virulence in Listeria monocytogenes cells as a consequence of their exposure to antimicrobial compounds” (MIS 5049514) under the call for proposals “Supporting researchers with an emphasis on new researchers” (EDULLL 103). The project is co-financed by Greece and the European Union (European Social Fund- ESF) by the Operational Programme Human Resources Development, Education and Lifelong Learning 2014-2020.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. Jordan, K.; McAuliffe, O. Listeria monocytogenes in foods. Adv. Food Nutr. Res. 2018, 86, 181–213. [Google Scholar] [CrossRef]
  2. EFSA; ECDC (European Food Safety Authority and European Centre for Disease Prevention and Control). The European Union One Health 2019 Zoonoses Report. EFSA J. 2021, 19, 6406. [Google Scholar] [CrossRef]
  3. Scallan, E.; Hoekstra, R.M.; Angulo, F.J.; Tauxe, R.V.; Widdowson, M.A.; Roy, S.L.; Jones, J.L.; Griffin, P.M. Foodborne illness acquired in the United States—Major pathogens. Emerg. Infect. Dis. 2011, 17, 7–15. [Google Scholar] [CrossRef]
  4. NicAogáin, K.; O’Byrne, C.P. The role of stress and stress adaptations in determining the fate of the bacterial pathogen Listeria monocytogenes in the food chain. Front. Microbiol. 2016, 7, 1865. [Google Scholar] [CrossRef] [Green Version]
  5. Soni, K.A.; Nannapaneni, R.; Tasara, T. The contribution of transcriptomic and proteomic analysis in elucidating stress adaptation responses of Listeria monocytogenes. Foodborne Pathog. Dis. 2011, 8, 843–852. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Tiensuu, T.; Guerreiro, D.N.; Oliveira, A.H.; O’Byrne, C.; Johansson, J. Flick of a switch: Regulatory mechanisms allowing Listeria monocytogenes to transition from a saprophyte to a killer. Microbiology 2019, 165, 819–833. [Google Scholar] [CrossRef] [PubMed]
  7. Dorey, A.; Marinho, C.; Piveteau, P.; O’Byrne, C. Role and regulation of the stress activated sigma factor sigma B (σB) in the saprophytic and host-associated life stages of Listeria monocytogenes. Adv. Appl. Microbiol. 2019, 106, 1–48. [Google Scholar] [CrossRef] [PubMed]
  8. Guerreiro, D.N.; Arcari, T.; O’Byrne, C.P. The σB-mediated general stress response of Listeria monocytogenes: Life and death decision making in a pathogen. Front. Microbiol. 2020, 11, 1505. [Google Scholar] [CrossRef] [PubMed]
  9. Davis, M.L.; Ricke, S.C.; Donaldson, J.R. Establishment of Listeria monocytogenes in the gastrointestinal tract. Microorganisms 2019, 7, 75. [Google Scholar] [CrossRef] [Green Version]
  10. Gahan, C.G.; Hill, C. Listeria monocytogenes: Survival and adaptation in the gastrointestinal tract. Front. Cell. Infect. Microbiol. 2014, 4, 9. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Radoshevich, L.; Cossart, P. Listeria monocytogenes: Towards a complete picture of its physiology and pathogenesis. Nat. Rev. Microbiol. 2018, 16, 32–46. [Google Scholar] [CrossRef] [PubMed]
  12. Rolhion, N.; Cossart, P. How the study of Listeria monocytogenes has led to new concepts in biology. Future Microbiol. 2017, 12, 621–638. [Google Scholar] [CrossRef]
  13. Bruno, J.C., Jr.; Freitag, N.E. Listeria monocytogenes adapts to long-term stationary phase survival without compromising bacterial virulence. FEMS Microbiol. Lett. 2011, 323, 171–179. [Google Scholar] [CrossRef] [Green Version]
  14. Gaballa, A.; Guariglia-Oropeza, V.; Wiedmann, M.; Boor, K.J. Cross talk between SigB and PrfA in Listeria monocytogenes facilitates transitions between extra- and intracellular environments. Microbiol. Mol. Biol. Rev. 2019, 83, e00034-19. [Google Scholar] [CrossRef]
  15. Matereke, L.T.; Okoh, A.I. Listeria monocytogenes virulence, antimicrobial resistance and environmental persistence: A review. Pathogens 2020, 9, 528. [Google Scholar] [CrossRef]
  16. Hadjilouka, A.; Molfeta, C.; Panagiotopoulou, O.; Paramithiotis, S.; Mataragas, M.; Drosinos, E.H. Expression of Listeria monocytogenes key virulence genes during growth in liquid medium, on rocket and melon at 4, 10 and 30 °C. Food Microbiol. 2016, 55, 7–15. [Google Scholar] [CrossRef]
  17. Rieu, A.; Guzzo, J.; Piveteau, P. Sensitivity to acetic acid, ability to colonize abiotic surfaces and virulence potential of Listeria monocytogenes EGD-e after incubation on parsley leaves. J. Appl. Microbiol. 2010, 108, 560–570. [Google Scholar] [CrossRef] [PubMed]
  18. Larsen, N.; Jespersen, L. Expression of virulence-related genes in Listeria monocytogenes grown on danish hard cheese as affected by NaCl Content. Foodborne Pathog. Dis. 2015, 12, 536–544. [Google Scholar] [CrossRef] [PubMed]
  19. Mataragas, M.; Rovetto, F.; Bellio, A.; Alessandria, V.; Rantsiou, K.; Decastelli, L.; Cocolin, L. Differential gene expression profiling of Listeria monocytogenes in Cacciatore and Felino salami to reveal potential stress resistance biomarkers. Food Microbiol. 2015, 46, 408–417. [Google Scholar] [CrossRef]
  20. Olesen, I.; Thorsen, L.; Jespersen, L. Relative transcription of Listeria monocytogenes virulence genes in liver pâtés with varying NaCl content. Int. J. Food Microbiol. 2010, 141 (Suppl. 1), S60–S68. [Google Scholar] [CrossRef]
  21. Pérez-Baltar, A.; Alía, A.; Rodríguez, A.; Córdoba, J.J.; Medina, M.; Montiel, R. Impact of water activity on the inactivation and gene expression of Listeria monocytogenes during refrigerated storage of pressurized dry-cured ham. Foods 2020, 9, 1092. [Google Scholar] [CrossRef] [PubMed]
  22. Rantsiou, K.; Greppi, A.; Garosi, M.; Acquadro, A.; Mataragas, M.; Cocolin, L. Strain dependent expression of stress response and virulence genes of Listeria monocytogenes in meat juices as determined by microarray. Int. J. Food Microbiol. 2012, 152, 116–122. [Google Scholar] [CrossRef]
  23. 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, 26, 205–212. [Google Scholar] [CrossRef]
  24. Alía, A.; Rodríguez, A.; Andrade, M.J.; Gómez, F.M.; Córdoba, J.J. Combined effect of temperature, water activity and salt content on the growth and gene expression of Listeria monocytogenes in a dry-cured ham model system. Meat Sci. 2019, 155, 16–19. [Google Scholar] [CrossRef] [PubMed]
  25. Makariti, I.P.; Printezi, A.; Kapetanakou, A.E.; Zeaki, N.; Skandamis, P.N. Investigating boundaries of survival, growth and expression of genes associated with stress and virulence of Listeria monocytogenes in response to acid and osmotic stress. Food Microbiol. 2015, 45, 231–244. [Google Scholar] [CrossRef] [PubMed]
  26. Marras, L.; Carraro, V.; Sanna, C.; Sanna, A.; Ingianni, A.; Coroneo, V. Growth of Listeria monocytogenes in ready to eat salads at different storage temperatures and valuation of virulence genes expression. Ann. Ig. 2019, 31, 374–384. [Google Scholar] [CrossRef] [PubMed]
  27. Olesen, I.; Vogensen, F.K.; Jespersen, L. Gene transcription and virulence potential of Listeria monocytogenes strains after exposure to acidic and NaCl stress. Foodborne Pathog. Dis. 2009, 6, 669–680. [Google Scholar] [CrossRef]
  28. Werbrouck, H.; Vermeulen, A.; Van Coillie, E.; Messens, W.; Herman, L.; Devlieghere, F.; Uyttendaele, M. Influence of acid stress on survival, expression of virulence genes and invasion capacity into Caco-2 cells of Listeria monocytogenes strains of different origins. Int. J. Food Microbiol. 2009, 134, 140–146. [Google Scholar] [CrossRef]
  29. Hadjilouka, A.; Gkolfakis, P.; Patlaka, A.; Grounta, A.; Vourli, G.; Paramithiotis, S.; Touloumi, G.; Triantafyllou, K.; Drosinos, E.H. In vitro gene transcription of Listeria monocytogenes after exposure to human gastric and duodenal aspirates. J. Food Prot. 2020, 83, 89–100. [Google Scholar] [CrossRef]
  30. Jiang, L.; Olesen, I.; Andersen, T.; Fang, W.; Jespersen, L. Survival of Listeria monocytogenes in simulated gastrointestinal system and transcriptional profiling of stress- and adhesion-related genes. Foodborne Pathog. Dis. 2010, 7, 267–274. [Google Scholar] [CrossRef]
  31. Bucur, F.I.; Grigore-Gurgu, L.; Crauwels, P.; Riedel, C.U.; Nicolau, A.I. Resistance of Listeria monocytogenes to stress conditions encountered in food and food processing environments. Front. Microbiol. 2018, 9, 2700. [Google Scholar] [CrossRef] [Green Version]
  32. Gravesen, A.; Kallipolitis, B.; Holmstrøm, K.; Høiby, P.E.; Ramnath, M.; Knøchel, S. pbp2229-mediated nisin resistance mechanism in Listeria monocytogenes confers cross-protection to class IIa bacteriocins and affects virulence gene expression. Appl. Environ. Microbiol. 2004, 70, 1669–1679. [Google Scholar] [CrossRef] [Green Version]
  33. Yu, T.; Jiang, X.; Zhang, Y.; Ji, S.; Gao, W.; Shi, L. Effect of benzalkonium chloride adaptation on sensitivity to antimicrobial agents and tolerance to environmental stresses in Listeria monocytogenes. Front. Microbiol. 2018, 9, 2906. [Google Scholar] [CrossRef] [Green Version]
  34. Giaouris, E.; Simões, M. Pathogenic biofilm formation in the food industry and alternative control strategies. In Handbook of Food Bioengineering, Foodborne Diseases; Holban, A.M., Grumezescu, A.M., Eds.; Academic Press (Elsevier): Amsterdam, The Netherlands, 2018; Volume 15. [Google Scholar] [CrossRef]
  35. Leistner, L. Basic aspects of food preservation by hurdle technology. Int. J. Food Microbiol. 2000, 55, 181–186. [Google Scholar] [CrossRef]
  36. Pupo, I.; Lepe, J.A.; Smani, Y.; Aznar, J. Comparison of the in vitro activity of ampicillin and moxifloxacin against Listeria monocytogenes at achievable concentrations in the central nervous system. J. Med. Microbiol. 2017, 66, 713–720. [Google Scholar] [CrossRef] [PubMed]
  37. Martínez-Suárez, J.V.; Ortiz, S.; López-Alonso, V. Potential impact of the resistance to quaternary ammonium disinfectants on the persistence of Listeria monocytogenes in food processing environments. Front Microbiol. 2016, 7, 638. [Google Scholar] [CrossRef] [Green Version]
  38. Kastbjerg, V.G.; Larsen, M.H.; Gram, L.; Ingmer, H. Influence of sublethal concentrations of common disinfectants on expression of virulence genes in Listeria monocytogenes. Appl. Environ. Microbiol. 2010, 76, 303–309. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  39. Rodrigues, D.; Cerca, N.; Teixeira, P.; Oliveira, R.; Ceri, H.; Azeredo, J. Listeria monocytogenes and Salmonella enterica Enteritidis biofilms susceptibility to different disinfectants and stress-response and virulence gene expression of surviving cells. Microb. Drug Resist. 2011, 17, 181–189. [Google Scholar] [CrossRef] [PubMed]
  40. Tamburro, M.; Ripabelli, G.; Vitullo, M.; Dallman, T.J.; Pontello, M.; Amar, C.F.; Sammarco, M.L. Gene expression in Listeria monocytogenes exposed to sublethal concentration of benzalkonium chloride. Comp. Immunol. Microbiol. Infect. Dis. 2015, 40, 31–39. [Google Scholar] [CrossRef] [PubMed]
  41. Datta, A.R.; Burall, L.S. Serotype to genotype: The changing landscape of listeriosis outbreak investigations. Food Microbiol. 2018, 75, 18–27. [Google Scholar] [CrossRef]
  42. Gerba, C.P. Quaternary ammonium biocides: Efficacy in application. Appl. Environ. Microbiol. 2015, 81, 464–469. [Google Scholar] [CrossRef] [Green Version]
  43. Kowalczyk, A.; Przychodna, M.; Sopata, S.; Bodalska, A.; Fecka, I. Thymol and thyme essential oil-new insights into selected therapeutic applications. Molecules 2020, 25, 4125. [Google Scholar] [CrossRef]
  44. Townsend, C.A. Convergent biosynthetic pathways to β-lactam antibiotics. Curr. Opin. Chem. Biol. 2016, 35, 97–108. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Pagliano, P.; Arslan, F.; Ascione, T. Epidemiology and treatment of the commonest form of listeriosis: Meningitis and bacteraemia. Infez. Med. 2017, 25, 210–216. [Google Scholar]
  46. Kostoglou, D.; Tsaklidou, P.; Iliadis, I.; Garoufallidou, N.; Skarmoutsou, G.; Koulouris, I.; Giaouris, E. Advanced killing potential of thymol against a time and temperature optimized attached Listeria monocytogenes population in lettuce broth. Biomolecules 2021, 11, 397. [Google Scholar] [CrossRef]
  47. Schmittgen, T.D.; Livak, K.J. Analyzing real-time PCR data by the comparative CT method. Nat. Protoc. 2008, 3, 1101–1108. [Google Scholar] [CrossRef] [PubMed]
  48. Vandesompele, J.; De Preter, K.; Pattyn, F.; Poppe, B.; Van Roy, N.; De Paepe, A.; Speleman, F. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol. 2002, 3, 1–12. [Google Scholar] [CrossRef] [Green Version]
  49. Pfaffl, M.W. A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res. 2001, 29, e45. [Google Scholar] [CrossRef]
  50. Toledo-Arana, A.; Dussurget, O.; Nikitas, G.; Sesto, N.; Guet-Revillet, H.; Balestrino, D.; Loh, E.; Gripenland, J.; Tiensuu, T.; Vaitkevicius, K.; et al. The Listeria transcriptional landscape from saprophytism to virulence. Nature 2009, 459, 950–956. [Google Scholar] [CrossRef]
  51. Ye, J.; Coulouris, G.; Zaretskaya, I.; Cutcutache, I.; Rozen, S.; Madden, T.L. Primer-BLAST: A tool to design target-specific primers for polymerase chain reaction. BMC Bioinform. 2012, 13, 134. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Bickel, D.R. Degrees of differential gene expression: Detecting biologically significant expression differences and estimating their magnitudes. Bioinformatics 2004, 20, 682–688. [Google Scholar] [CrossRef] [Green Version]
  53. Cusimano, M.G.; Di Stefano, V.; La Giglia, M.; Di Marco Lo Presti, V.; Schillaci, D.; Pomilio, F.; Vitale, M. Control of growth and persistence of Listeria monocytogenes and β-lactam-resistant Escherichia coli by thymol in food processing settings. Molecules 2020, 25, 383. [Google Scholar] [CrossRef] [Green Version]
  54. Rodríguez-Melcón, C.; Riesco-Peláez, F.; García-Fernández, C.; Alonso-Calleja, C.; Capita, R. Susceptibility of Listeria monocytogenes planktonic cultures and biofilms to sodium hypochlorite and benzalkonium chloride. Food Microbiol. 2019, 82, 533–540. [Google Scholar] [CrossRef] [PubMed]
  55. López-Alonso, V.; Ortiz, S.; Corujo, A.; Martínez-Suárez, J.V. Analysis of benzalkonium chloride resistance and potential virulence of Listeria monocytogenes isolates obtained from different stages of a poultry production chain in Spain. J. Food Prot. 2020, 83, 443–451. [Google Scholar] [CrossRef] [PubMed]
  56. Minarovičová, J.; Véghová, A.; Mikulášová, M.; Chovanová, R.; Šoltýs, K.; Drahovská, H.; Kaclíková, E. Benzalkonium chloride tolerance of Listeria monocytogenes strains isolated from a meat processing facility is related to presence of plasmid-borne bcrABC cassette. Antonie Van Leeuwenhoek 2018, 111, 1913–1923. [Google Scholar] [CrossRef] [PubMed]
  57. Mullapudi, S.; Siletzky, R.M.; Kathariou, S. Heavy-metal and benzalkonium chloride resistance of Listeria monocytogenes isolates from the environment of turkey-processing plants. Appl. Environ. Microbiol. 2008, 74, 1464–1468. [Google Scholar] [CrossRef] [Green Version]
  58. Rakic-Martinez, M.; Drevets, D.A.; Dutta, V.; Katic, V.; Kathariou, S. Listeria monocytogenes strains selected on ciprofloxacin or the disinfectant benzalkonium chloride exhibit reduced susceptibility to ciprofloxacin, gentamicin, benzalkonium chloride, and other toxic compounds. Appl. Environ. Microbiol. 2011, 77, 8714–8721. [Google Scholar] [CrossRef] [Green Version]
  59. Capita, R.; Felices-Mercado, A.; García-Fernández, C.; Alonso-Calleja, C. Characterization of Listeria monocytogenes originating from the Spanish meat-processing chain. Foods 2019, 8, 542. [Google Scholar] [CrossRef] [Green Version]
  60. Maćkiw, E.; Stasiak, M.; Kowalska, J.; Kucharek, K.; Korsak, D.; Postupolski, J. Occurrence and characteristics of Listeria monocytogenes in ready-to-eat meat products in Poland. J. Food Prot. 2020, 83, 1002–1009. [Google Scholar] [CrossRef]
  61. Maćkiw, E.; Korsak, D.; Kowalska, J.; Felix, B.; Stasiak, M.; Kucharek, K.; Antoszewska, A.; Postupolski, J. Genetic diversity of Listeria monocytogenes isolated from ready-to-eat food products in retail in Poland. Int. J. Food Microbiol. 2021, 358, 109397. [Google Scholar] [CrossRef]
  62. Bouymajane, A.; Rhazi Filali, F.; Oulghazi, S.; Lafkih, N.; Ed-Dra, A.; Aboulkacem, A.; El Allaoui, A.; Ouhmidou, B.; Moumni, M. Occurrence, antimicrobial resistance, serotyping and virulence genes of Listeria monocytogenes isolated from foods. Heliyon 2021, 7, e06169. [Google Scholar] [CrossRef] [PubMed]
  63. Di Pasqua, R.; Mamone, G.; Ferranti, P.; Ercolini, D.; Mauriello, G. Changes in the proteome of Salmonella enterica serovar Thompson as stress adaptation to sublethal concentrations of thymol. Proteomics 2010, 10, 1040–1049. [Google Scholar] [CrossRef] [PubMed]
  64. Dubois-Brissonnet, F.; Naïtali, M.; Mafu, A.A.; Briandet, R. Induction of fatty acid composition modifications and tolerance to biocides in Salmonella enterica serovar Typhimurium by plant-derived terpenes. Appl. Environ. Microbiol. 2011, 77, 906–910. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Lepe, J.A.; Rodríguez-Villodres, A.; Martín-Gutiérrez, G.; Luque, R.; Aznar, J. In vitro study of synergy of ampicillin with ceftriaxone against Listeria monocytogenes. Rev. Esp. Quimioter. 2019, 32, 465–468. [Google Scholar] [PubMed]
  66. Cho, Y.; Kim, H.; Beuchat, L.R.; Ryu, J.H. Synergistic activities of gaseous oregano and thyme thymol essential oils against Listeria monocytogenes on surfaces of a laboratory medium and radish sprouts. Food Microbiol. 2020, 86, 103357. [Google Scholar] [CrossRef] [PubMed]
  67. Finkel, S.E. Long-term survival during stationary phase: Evolution and the GASP phenotype. Nat. Rev. Microbiol. 2006, 4, 113–120. [Google Scholar] [CrossRef] [PubMed]
  68. Upadhyay, A.; Johny, A.K.; Amalaradjou, M.A.; Ananda Baskaran, S.; Kim, K.S.; Venkitanarayanan, K. Plant-derived antimicrobials reduce Listeria monocytogenes virulence factors in vitro, and down-regulate expression of virulence genes. Int. J. Food Microbiol. 2012, 157, 88–94. [Google Scholar] [CrossRef] [PubMed]
  69. Drolia, R.; Bhunia, A.K. Crossing the intestinal barrier via Listeria Adhesion Protein and Internalin A. Trends Microbiol. 2019, 27, 408–425. [Google Scholar] [CrossRef]
  70. Braschi, G.; Serrazanetti, D.I.; Siroli, L.; Patrignani, F.; De Angelis, M.; Lanciotti, R. Gene expression responses of Listeria monocytogenes Scott A exposed to sub-lethal concentrations of natural antimicrobials. Int. J. Food Microbiol. 2018, 286, 170–178. [Google Scholar] [CrossRef]
  71. Kaplan Zeevi, M.; Shafir, N.S.; Shaham, S.; Friedman, S.; Sigal, N.; Nir Paz, R.; Boneca, I.G.; Herskovits, A.A. Listeria monocytogenes multidrug resistance transporters and cyclic di-AMP, which contribute to type I interferon induction, play a role in cell wall stress. J. Bacteriol. 2013, 195, 5250–5261. [Google Scholar] [CrossRef]
  72. Bowman, J.P.; Lee Chang, K.J.; Pinfold, T.; Ross, T. Transcriptomic and phenotypic responses of Listeria monocytogenes strains possessing different growth efficiencies under acidic conditions. Appl. Environ. Microbiol. 2010, 76, 4836–4850. [Google Scholar] [CrossRef] [Green Version]
  73. Köhler, S.; Leimeister-Wächter, M.; Chakraborty, T.; Lottspeich, F.; Goebel, W. The gene coding for protein p60 of Listeria monocytogenes and its use as a specific probe for Listeria monocytogenes. Infect. Immun. 1990, 58, 1943–1950. [Google Scholar] [CrossRef] [Green Version]
  74. Ben Slama, R.; Miladi, H.; Chaieb, K.; Bakhrouf, A. Survival of Listeria monocytogenes cells and the effect of extended frozen storage (−20 °C) on the expression of its virulence gene. Appl. Biochem. Biotechnol. 2013, 170, 1174–1183. [Google Scholar] [CrossRef] [PubMed]
  75. Dramsi, S.; Kocks, C.; Forestier, C.; Cossart, P. Internalin-mediated invasion of epithelial cells by Listeria monocytogenes is regulated by the bacterial growth state, temperature and the pleiotropic activator prfA. Mol. Microbiol. 1993, 9, 931–941. [Google Scholar] [CrossRef]
  76. Gahan, C.G.; O’Mahony, J.; Hill, C. Characterization of the groESL operon in Listeria monocytogenes: Utilization of two reporter systems (gfp and hly) for evaluating in vivo expression. Infect. Immun. 2001, 69, 3924–3932. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  77. Osborne, S.E.; Brumell, J.H. Listeriolysin O: From bazooka to Swiss army knife. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2017, 372, 20160222. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  78. Pöntinen, A.; Markkula, A.; Lindström, M.; Korkeala, H. Two-component-system histidine kinases involved in growth of Listeria monocytogenes EGD-e at low temperatures. Appl. Environ. Microbiol. 2015, 81, 3994–4004. [Google Scholar] [CrossRef] [Green Version]
  79. Cotter, P.D.; Guinane, C.M.; Hill, C. The LisRK signal transduction system determines the sensitivity of Listeria monocytogenes to nisin and cephalosporins. Antimicrob. Agents Chemother. 2002, 46, 2784–2790. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  80. Jiang, X.; Yu, T.; Xu, Y.; Wang, H.; Korkeala, H.; Shi, L. MdrL, a major facilitator superfamily efflux pump of Listeria monocytogenes involved in tolerance to benzalkonium chloride. Appl. Microbiol. Biotechnol. 2019, 103, 1339–1350. [Google Scholar] [CrossRef]
  81. Browning, D.F.; Busby, S.J. Local and global regulation of transcription initiation in bacteria. Nat. Rev. Microbiol. 2016, 14, 638–650. [Google Scholar] [CrossRef] [Green Version]
  82. Roberfroid, S.; Vanderleyden, J.; Steenackers, H. Gene expression variability in clonal populations: Causes and consequences. Crit. Rev. Microbiol. 2016, 42, 969–984. [Google Scholar] [CrossRef]
  83. Arguedas-Villa, C.; Stephan, R.; Tasara, T. Evaluation of cold growth and related gene transcription responses associated with Listeria monocytogenes strains of different origins. Food Microbiol. 2010, 27, 653–660. [Google Scholar] [CrossRef] [PubMed]
  84. Poulsen, L.D.; Vinther, J. RNA-Seq for bacterial gene expression. Curr. Protoc. Nucleic Acid Chem. 2018, 73, e55. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Relative quantification (log2(fold differences)) of the expressions of the 10 target genes (groEL, hly, iap, inlA, inlB, lisK, mdrD, mdrL, prfA, sigB) at the 2 L. monocytogenes strains (A) AAL20066 (ser. 1/2a) and (B) AAL20074 (ser. 4b), following their sublethal exposure (for 2 h at 37 °C) to BAC (4.0 μg/mL; □), THY (312.5 μg/mL; Foods 10 02382 i001) or AMP (0.5 μg/mL; Foods 10 02382 i002), in comparison to the untreated controls (no antimicrobial exposure). Each bar represents the mean ± standard errors (n = 9). The statistically significant differences in genes’ expressions relative to the controls appear as asterisks (*) above the bars, while ⌂ denote the statistically significant differences in genes’ expressions between the two strains (P < 0.05).
Figure 1. Relative quantification (log2(fold differences)) of the expressions of the 10 target genes (groEL, hly, iap, inlA, inlB, lisK, mdrD, mdrL, prfA, sigB) at the 2 L. monocytogenes strains (A) AAL20066 (ser. 1/2a) and (B) AAL20074 (ser. 4b), following their sublethal exposure (for 2 h at 37 °C) to BAC (4.0 μg/mL; □), THY (312.5 μg/mL; Foods 10 02382 i001) or AMP (0.5 μg/mL; Foods 10 02382 i002), in comparison to the untreated controls (no antimicrobial exposure). Each bar represents the mean ± standard errors (n = 9). The statistically significant differences in genes’ expressions relative to the controls appear as asterisks (*) above the bars, while ⌂ denote the statistically significant differences in genes’ expressions between the two strains (P < 0.05).
Foods 10 02382 g001
Table 1. Sequences of the primers used for the in vitro quantitation of the mRNA transcripts of the ten target genes (groEL, hly, iap, inlA, inlB, lisK, mdrD, mdrL, prfA, sigB) and the two reference genes (tuf, gap). The amplicon size (bp) and amplification efficiency (%) of each primer pair, together with the regression coefficients (R2) of the linear standard curves constructed for the determination of each PCR efficiency, are also shown.
Table 1. Sequences of the primers used for the in vitro quantitation of the mRNA transcripts of the ten target genes (groEL, hly, iap, inlA, inlB, lisK, mdrD, mdrL, prfA, sigB) and the two reference genes (tuf, gap). The amplicon size (bp) and amplification efficiency (%) of each primer pair, together with the regression coefficients (R2) of the linear standard curves constructed for the determination of each PCR efficiency, are also shown.
s/nGeneLocus Tag Product NameGene Size (bp)Primer Sequence (5’ → 3’)Amplicon Size (bp)Amplification Efficiency (%)R2
1groELlmo2068molecular chaperone GroEL1629F: AAGTCCAGCGTTATGTGCGA145104.721.00
R: CGTAGCTGGTGGTGGTACTG
2hlylmo0202listeriolysin O precursor1590F: TGCCAGGTAACGCGAGAAAT13593.961.00
R: TGGTGCCCCAGATGGAGATA
3iaplmo0582invasion associated secreted endopeptidase1449F: GCCAGAGCCGTGGATGTTAT178113.630.99
R: TTCTGGCGCACAATACGCTA
4inlAlmo0433internalin A2403F: AAATCCTGTGGCACCACCAA13795.781.00
R: TTGTGCTGGCTGAATTCCCA
5inlBlmo0434internalin B1893F: CGCGAAGCCAAAACACCAAT146106.121.00
R: TTGGCGCTGACATAACGAGT
6lisKlmo1378two-component sensor histidine kinase1452F: GATGTGCGTGATTACGGGGA113105.961.00
R: CCGAGGCCATTACCACCTTT
7mdrDlmo0872antibiotic resistance protein1167F: ATCGCCGATGTTTAGCGGAA113108.260.98
R: CATTCGCAAAATGCCCACCA
8mdrLlmo2377multidrug transporter1212F: CCGTTGCTTGCGCTTTATGT11794.030.97
R: TCCCCATTTTCGCGTCATCA
9prfAlmo0200listeriolysin positive regulatory protein714F: CTGAGCTATGTGCGATGCCA138101.960.98
R: AGCTTGGCTCTATTTGCGGT
10σB (sigB)lmo0895RNA polymerase sigma factor SigB780F: CTTCAAAGCTCGCCGCAAAT182105.401.00
R: CCATCATCCGTACCACCAACA
11tuflmo2653elongation factor Tu1188F: CCAATGTTGTCGCCAGCTTC149101.001.00
R: GCAACTGGACGTGTTGAACG
12gaplmo2459glyceraldehyde-3-phosphate dehydrogenase1011F: AGCTGCTTCCATAGCTGCATT 11495.880.96
R: TTAGACGGAGCTGCTCAACG
Corresponds to the NCBI Reference Sequence: NC_003210.1 of the complete genome of L. monocytogenes strain EGD-e [50]. Target-specific conserved primers were designed using Primer-BLAST software developed at National Center for Biotechnology Information (NCBI, Bethesda MD, 20894 USA; http://www.ncbi.nlm.nih.gov/tools/primer-blast; (Accessed on 29 August 2021) [51]).
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Kokkoni, E.-A.; Andritsos, N.; Sakarikou, C.; Michailidou, S.; Argiriou, A.; Giaouris, E. Investigating Transcriptomic Induction of Resistance and/or Virulence in Listeria monocytogenes Cells Surviving Sublethal Antimicrobial Exposure. Foods 2021, 10, 2382. https://doi.org/10.3390/foods10102382

AMA Style

Kokkoni E-A, Andritsos N, Sakarikou C, Michailidou S, Argiriou A, Giaouris E. Investigating Transcriptomic Induction of Resistance and/or Virulence in Listeria monocytogenes Cells Surviving Sublethal Antimicrobial Exposure. Foods. 2021; 10(10):2382. https://doi.org/10.3390/foods10102382

Chicago/Turabian Style

Kokkoni, Eleni-Anna, Nikolaos Andritsos, Christina Sakarikou, Sofia Michailidou, Anagnostis Argiriou, and Efstathios Giaouris. 2021. "Investigating Transcriptomic Induction of Resistance and/or Virulence in Listeria monocytogenes Cells Surviving Sublethal Antimicrobial Exposure" Foods 10, no. 10: 2382. https://doi.org/10.3390/foods10102382

APA Style

Kokkoni, E. -A., Andritsos, N., Sakarikou, C., Michailidou, S., Argiriou, A., & Giaouris, E. (2021). Investigating Transcriptomic Induction of Resistance and/or Virulence in Listeria monocytogenes Cells Surviving Sublethal Antimicrobial Exposure. Foods, 10(10), 2382. https://doi.org/10.3390/foods10102382

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