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Applied and Environmental Microbiology logoLink to Applied and Environmental Microbiology
. 2017 Aug 1;83(16):e00827-17. doi: 10.1128/AEM.00827-17

Stress Survival Islet 2, Predominantly Present in Listeria monocytogenes Strains of Sequence Type 121, Is Involved in the Alkaline and Oxidative Stress Responses

Eva Harter 1, Eva Maria Wagner 1, Andreas Zaiser 1, Sabrina Halecker 1, Martin Wagner 1, Kathrin Rychli 1,
Editor: Harold L Drake2
PMCID: PMC5541211  PMID: 28625982

ABSTRACT

The foodborne pathogen Listeria monocytogenes is able to survive a variety of stress conditions leading to the colonization of different niches like the food processing environment. This study focuses on the hypervariable genetic hot spot lmo0443 to lmo0449 haboring three inserts: the stress survival islet 1 (SSI-1), the single-gene insert LMOf2365_0481, and two homologous genes of the nonpathogenic species Listeria innocua: lin0464, coding for a putative transcriptional regulator, and lin0465, encoding an intracellular PfpI protease. Our prevalence study revealed a different distribution of the inserts between human and food-associated isolates. The lin0464-lin0465 insert was predominantly found in food-associated strains of sequence type 121 (ST121). Functional characterization of this insert showed that the putative PfpI protease Lin0465 is involved in alkaline and oxidative stress responses but not in acidic, gastric, heat, cold, osmotic, and antibiotic stresses. In parallel, deletion of lin0464 decreased survival under alkaline and oxidative stresses. The expression of both genes increased significantly under oxidative stress conditions independently of the alternative sigma factor σB. Furthermore, we showed that the expression of the protease gene lin0465 is regulated by the transcription factor lin0464 under stress conditions, suggesting that lin0464 and lin0465 form a functional unit. In conclusion, we identified a novel stress survival islet 2 (SSI-2), predominantly present in L. monocytogenes ST121 strains, beneficial for survival under alkaline and oxidative stresses, potentially supporting adaptation and persistence of L. monocytogenes in food processing environments.

IMPORTANCE Listeria monocytogenes strains of ST121 are known to persist for months and even years in food processing environments, thereby increasing the risk of food contamination and listeriosis. However, the molecular mechanism underlying this remarkable niche-specific adaptation is still unknown. Here, we demonstrate that the genomic islet SSI-2, predominantly present in L. monocytogenes ST121 strains, is beneficial for survival under alkaline and oxidative stress conditions, which are routinely encountered in food processing environments. Our findings suggest that SSI-2 is part of a diverse set of molecular determinants contributing to niche-specific adaptation and persistence of L. monocytogenes ST121 strains in food processing environments.

KEYWORDS: Listeria monocytogenes, genetic hypervariable hot spot, genetic islet, hotspot, persistence, stress response

INTRODUCTION

Listeria monocytogenes is a Gram-positive foodborne pathogen and the causative agent of listeriosis, a rare but severe disease associated with high mortality rates in humans. Especially immunocompromised and elderly individuals, infants, and pregnant women are susceptible to invasive listeriosis after consumption of contaminated food (1, 2).

L. monocytogenes is perfectly equipped to adapt to and survive in marine water, freshwater, sewage water, and soil or vegetation, as well as in food processing environments and food products (3). In niches as diverse as these, L. monocytogenes is able to tolerate and adapt to a variety of different stress conditions, including wide pH, salt concentration, and temperature ranges, low water activity, and different sanitizers: e.g., quaternary ammonium compounds, hydrogen peroxide, peracetic acid, and sodium hypochlorite (4, 5).

However, there is a high degree of strain divergence in stress response and environmental adaptation. The genome of L. monocytogenes is highly stable and conserved but sporadically interspersed by mobile chromosomal elements like prophages, transposons, or genomic islands (68). It has been shown that these mobile elements as well as plasmids comprise new genetic information, referred to as accessory gene content, and facilitate adaptation to new niches for certain L. monocytogenes strains. Interestingly, the accessory gene content is not evenly scattered across the chromosome but clustered in hypervariable hot spots. The functions of most of the genes within hypervariable hot spots remain to be determined (911).

One of these hypervariable hot spots in L. monocytogenes is located between the mutually conserved core genes lmo0443 and lmo0449. Three different insertions between lmo0443 and lmo0449 have been identified in L. monocytogenes: the stress survival islet 1 (SSI-1) (12), a homologue of the LMOf2365_0481 gene, and homologues of the Listeria innocua genes lin0464 and lin0465 (13). SSI-1 is an 8.7-kbp region consisting of the five genes lmo0444, lmo0445, pva, gadD1, and gadT1, which have been linked to tolerance toward acidic, salt, bile, and gastric stresses (12, 1416). Furthermore, SSI-1 is important for growth in the food matrix (12). LMOf2365_0481 is a 548-bp gene whose function is unknown. lin0464 and lin0465 are transcribed in the opposite direction and show 98% and 94% DNA identities to their homologues in L. innocua. The arrangement of lin0464 and lin0465 is conserved in L. innocua and L. monocytogenes (13). Lin0464 is a putative transcriptional regulator of the GntR family with a helix-turn-helix DNA-binding domain, and Lin0465 is predicted to be an intracellular PfpI protease of the DJ-1/PfpI protease superfamily with a type I glutamine amidotransferase-like domain characterized in Pyrococcus furiosus (17). Hein et al. showed that strains of sequence type 121 (ST121) harbor the lin0464-lin0465 insert (13). This finding could be confirmed by two recent genome studies showing that the lin0464-lin0465 insert is present in all analyzed ST121 strains (7, 18). L. monocytogenes strains of ST121 are often found to be abundant and to persist in food processing environments. This suggests that ST121 strains harbor specific genetic determinants supporting persistence and conferring adaptation to a categorical discriminative niche (13, 1922).

We hypothesize that the lin0464-lin0465 insert is a functional unit and contributes to specific stress response differently than SSI-1, potentially supporting the survival of L. monocytogenes in the food processing environment. First we investigated the prevalence of the different inserts (SSI-1, lin0464-lin0465, and LMOf2365_0481) in 476 L. monocytogenes strains isolated from humans, food products, and food processing environments and determined the sequence types of all strains harboring lin0464-lin0465. Additionally, we characterized all lin0464-lin0465-positive strains in the genome database GenBank and performed a phylogenetic analysis of the lin0464-lin0465 insert. To elucidate the role of the intracellular PfpI protease Lin0465 in stress survival, we generated a lin0465 deletion (Δlin0465) mutant strain using the persistent L. monocytogenes strain 6179 (ST121, serotype 1/2a), which has repeatedly been isolated from an Irish cheese processing environment over a total period of 12 years (23). This strain was exposed to different stress conditions (acidic, gastric, cold, heat, osmotic, alkaline, oxidative, and antibiotic stresses). To test our hypothesis that lin0464 and lin0465 are a functional unit, we analyzed mRNA expression of lin0465 in a strain devoid of the putative transcription factor lin0464.

RESULTS

Prevalence of SSI-1, lin0464-lin0465, and LMOf2365_0481 among Listeria monocytogenes strains.

In total, 476 L. monocytogenes strains were screened for the presence of three different inserts in the genetically hypervariable region lmo0443 to lmo0449: the lin0464-lin0465 insert was harbored by 11.8% of strains (n = 56), the homologue of the LMOf2365_0481 gene by 54.8% (n = 261), and stress survival islet 1 (SSI-1) by 33.3% (n = 159) (Fig. 1A; see Data Set S1 in the supplemental material).

FIG 1.

FIG 1

(A) Prevalence of lin0464-lin0465, LMOf2365_0481, and SSI-1 in L. monocytogenes strains (n = 476) isolated from humans, food, and a food processing environment (category food). (B) Sequence type (ST) distribution of L. monocytogenes strains harboring lin0464-lin0465 (n = 56) detected in this study. (C) ST distribution in lin0464-lin0465-positive L. monocytogenes strains for which the genome is available in GenBank.

The prevalence of the three inserts differs between human and food-related strains (including isolates from food and food processing environments). The human strains (n = 264) were isolated between 1959 and 2009 from 14 different countries and included 17 different patients' specimens. Only two strains were related to a listeriosis outbreak. The category of food-related strains (n = 212) included strains isolated between 1986 and 2016 from 29 countries and 74 isolation sites (13 for the food processing isolates and 61 for the food isolates [for more detail, see Data Set S1]). In human strains, the lin0464-lin0465 insert was detected in 3.0% (n = 8), LMOf2365_0481 in 67.4% (n = 178), and SSI-1 in 29.4% (n = 78). In food-related strains, lin0464-lin0465 was present in 22.6% (n = 48), LMOf2365_0481 in 39.2% (n = 83), and SSI-1 in 38.2% (n = 81). We did not observe any difference in the prevalences of the three different inserts between strains isolated from food and strains isolated from food processing environments.

Additionally, we detected 78 strains harboring the lin0464-lin0465 insert, of which the genomes were available in GenBank, among them two strains (6179 and 4423) used in our study (see Data Set S2 in the supplemental material). The 78 strains included 20 food isolates, 17 strains isolated from food processing environments, and 4 human and 28 animal isolates. The source of nine strains was unknown. The nucleotide sequences of lin0464 and lin0465 of these 78 strains were highly similar to those of the homologous genes in strain 6179: 98.61 to 100% for lin0464 and 96.56 to 100% for lin0465.

The lin0464-lin0465 insert is predominantly harbored by L. monocytogenes strains of ST121.

All L. monocytogenes strains harboring the lin0464-lin0465 insert (n = 56) were subjected to multilocus sequence typing (MLST): 91.1% of the strains belong to ST121 (n = 51, clonal complex 121 [CC121], lineage II). The other lin0464-lin0465-positive strains are of lineage I: two strains of ST1 and one strain each of ST1033 (both CC1), ST2 (CC2) and ST5 (CC5) (Fig. 1B).

ST determination of the 78 strains of which the genome was available in GenBank revealed a slightly different result: 48.7% strains belong to ST121 (n = 38, CC121, lineage II), and 3.8% to ST13 (n = 3, CC13, lineage II) and ST193 (n = 3, CC193, lineage II). Additionally, we detected one strain each of the following STs: ST265, ST269, ST800, ST856, ST1067, and ST1069 (all lineage III), ST196 (CC193, lineage II), ST267 (CC267), and ST262 (CC262), ST264, and ST266 (all four not assigned to any lineages). However, the ST of 23 strains (29.1%), mainly animal isolates, was unknown (no hit in the ST database [Fig. 1C; Data Set S2]). Interestingly, all ST121 strains harbor the identical lin0464 and lin0465 genes (100% nucleotide identity), whereas the nucleotide identities of the homologous genes of the other strains are between 96.56 and 99.71%.

Analysis of the whole lin0464-lin0465 insert of all 78 L. monocytogenes strains showed that the size of the insert varies between 1,949 and 1,952 bp, with a GC content of 36.46%, whereas the homologous insert in L. innocua (n = 4) is slightly shorter, harboring only 1,947 bp. The phylogenetic analysis showed that the lin0464-lin0465 insert of the ST121 strains is identical and that the insert of the ST13 and CC193 strains has a higher similarity to that of the L. innocua strains than to those of the other strains (see Fig. S1 in the supplemental material).

Growth and survival under stress conditions.

A significant difference between the wild-type and Δlin0465 deletion mutant strains was only observed in survival under alkaline and oxidative stress conditions (Fig. 2A and B). Deletion of lin0465 had no effect on growth under cold, osmotic (see Fig. S2 in the supplemental material), antibiotic (see Table S2 in the supplemental material), and benzalkonium chloride (data not shown) stress conditions and on the survival under acidic, gastric, or heat stress (see Table S1 in the supplemental material) but decreased significantly the survival of L. monocytogenes under alkaline and oxidative stresses. This phenotype could be reversed in the complemented Δlin0465 deletion mutant (cΔlin0465) strain (by introducing lin0465 on a constitutive expression vector [Fig. 2A and B]).

FIG 2.

FIG 2

(A and B) Survival of the L. monocytogenes 6179 wild type (WT), 6179 Δlin0465 deletion mutant, complemented 6179 Δlin0465 deletion mutant (6179 cΔlin0465), F2365 wild type, and F2365 expressing lin0465 (F2365 + lin0465) under alkaline (pH 11) (A) and oxidative (10 mM CUHP) (B) stress conditions. (C and D) Survival of the L. monocytogenes 6179 wild type, 6179 Δlin0464 deletion mutant, 6179 cΔlin0464, F2365 wild type, and F2365 expressing lin0464 (F2365 + lin0464) under alkaline (pH 11) (C) and oxidative (10 mM CUHP) (D) stress conditions. Data are shown as a percentage of survival after exposure to stress for 2 h at 37°C. The percentage of survival was determined by CFU plate counting. Values represent mean values ± SD from five biological replicates performed in triplicate. *, P ≤ 0.05.

Additionally, we introduced lin0465 into L. monocytogenes strain F2365, which harbors the LMOf2365_0481 insert. The overall survival of the F2365 wild-type strain was higher under alkaline stress conditions but lower under oxidative stress compared to the 6179 wild-type strain. Constitutive expression of lin0465 significantly increased the survival of strain F2365 under both alkaline and oxidative stress conditions (Fig. 2A and B).

In the next step, we tested the role of the putative transcription factor Lin0464 in alkaline and oxidative stress responses. In parallel to the case for Lin0465, we detected significantly decreased survival of the Δlin0464 deletion mutant compared to the wild-type strain and increased survival of the complemented strain compared to the deletion mutant strain (Fig. 2C and D). However, the effect of the deletion of lin0465 on the survival of strain 6179 under alkaline and oxidative stress conditions was higher than that of the deletion of lin0464.

As expected, the constitutive expression of lin0464 in strain F2365 had no effect on the survival rate under alkaline and oxidative stress conditions, indicating that the expression of the transcription factor lin0464 alone has no influence on survival (Fig. 2C and D).

These results show that lin0464 and lin0465 support survival of L. monocytogenes under alkaline and oxidative stresses and suggest that lin0464 and lin0465 are a functional unit.

Expression of lin0464 and lin0465 in response to oxidative stress.

The expression of both genes (lin0464 and lin0465) was already significantly upregulated after 10 min of exposure to oxidative stress, suggesting that the lin0464-lin0465 insert contributes to a rapid stress response. While transcription of lin0464 decreases over time, transcription of lin0465 continues to increase up to 3-fold after 60 min (Fig. 3A).

FIG 3.

FIG 3

(A) mRNA expression of lin0464 and lin0465 in the L. monocytogenes 6179 wild-type (WT) strain incubated without (0 min [control]) and with 5 mM CUHP for 10, 30, and 60 min at 20°C. (B) mRNA expression of the putative protease gene lin0465 in the L. monocytogenes 6179 wild type, 6179 Δlin0464 deletion mutant, and complemented 6179 Δlin0464 deletion mutant (6179 cΔlin0464) incubated without (control) and with 5 mM CUHP for 10 min at 20°C. Values were normalized to 16S rRNA gene expression levels and are presented as x-fold of the control. Data represent mean values ± SD from two biological replicates performed and measured in duplicate. *, P ≤ 0.05 versus control.

To test our hypothesis that the putative transcription factor Lin0464 regulates the transcription of Lin0465, we used a strain devoid of lin0464. Transcription of lin0465 after 10 min of exposure to oxidative stress was significantly different in the wild-type and the Δlin0464 deletion mutant strains (Fig. 3B). The expression of lin0465 was not induced under oxidative stress conditions in the Δlin0464 deletion mutant strain but again was induced in the complemented Δlin0464 deletion mutant (cΔlin0464) strain. These data strongly support our hypothesis that the transcription factor gene lin0464 and the putative protease gene lin0465 are a functional unit. We propose to name this genomic islet stress survival islet 2 (SSI-2).

As expected, transcription of lin0464 was undetectable in the 6179 Δlin0464 deletion mutant strain and increased in the complemented strain (6179 cΔlin0464) (700-fold [see Table S3 in the supplemental material]). However, the expression of lin0465 in the complemented Δlin0464 deletion mutant strain was comparable to the expression in the 6179 wild-type strain with and without oxidative stress.

The expression of lin0464 and lin0465 is independently regulated from σB.

We additionally addressed the question of whether lin0464 and lin0465 are regulated by the general transcriptional response mechanism targeting genes involved in stress survival under the control of the alternative sigma factor σB. The loss of σB did not affect transcription of lin0464 and lin0465 since we could observe a significant upregulation of both genes after exposure to oxidative stress in the sigB deletion mutant (ΔsigB) strain (Fig. 4A and B; Table S3).

FIG 4.

FIG 4

mRNA expression of lin0464 (A) and lin0465 (B) in the L. monocytogenes 6179 wild type (WT), sigB deletion mutant (6179 ΔsigB), and complemented 6179 sigB deletion mutant (6179 cΔsigB) incubated without (control) and with 5 mM CUHP for 10 min at 20°C. Values were normalized to 16S rRNA gene expression levels and are presented as x-fold of the control. Data represent mean values ± SD from two biological replicates performed and measured in duplicate. *, P ≤ 0.05 versus control.

DISCUSSION

In this study, we characterized the novel stress survival islet SSI-2 in L. monocytogenes. SSI-2 consists of two genes—the transcription factor gene lin0464 and the PfpI protease gene lin0465—and is present in the hypervariable genetic hot spot lmo0443 to lmo0449, which harbors three inserts in total: SSI-1, SSI-2, and a homologue of the gene LMOf2365_0481.

Our prevalence study including 476 strains gives indications that SSI-2 is involved in a different stress response than SSI-1. SSI-1, supporting survival under salt, acidic, bile, and gastric stress conditions (12), is equally distributed among human clinical isolates and strains isolated from food and food processing environments, whereas SSI-2 is predominantly present in L. monocytogenes strains isolated from food and food processing environments (84%). The determination of the STs of all SSI-2-positive L. monocytogenes strains (from the PCR screening and genome database analysis) further strengthens our hypothesis. SSI-2 is mainly harbored by strains of ST121 (CC121, lineage II), whereas SSI-1 is known to be present in strains of diverse STs and lineages (19, 24). Strains of CC121 are highly abundant and among the most prevalent clones isolated from food or food processing environments, but they are underrepresented among clinical isolates due to an internalin A gene truncation leading to attenuated virulence (19). In two recent genome studies including 70 ST121 strains in total, we showed that SSI-2 is present in all ST121 strains. Moreover, SSI-2 is highly conserved in ST121 strains sharing 100% nucleotide identity (7, 18). We could confirm these findings in the present study.

SSI-2 also seems to be occasionally present in L. monocytogenes strains of other STs, including one new ST (ST1033): however, with a lower nucleotide identity (97 to 99%) compared to SSI-2 of ST121 strains. This is in line with the study of Ebner et al. reporting a few non-ST121 strains harboring SSI-2 (24). The ST of a surprisingly large number of SSI-2-positive strains (n = 23) identified by the genome database analysis is unknown. Most of these strains are animal isolates derived from one genome study. Since we cannot exclude that the quality of the genome sequence influenced the ST determination, the ST of these strains has to be characterized by classical multilocus sequence typing (MLST) PCR. Besides strains of lineage II, we also detected SSI-2-positive strains belonging to lineage I (n = 4; three human strains and one from a food processing environment) and to lineage III (n = 6; five animal isolates and one food isolate). Our findings are consistent with previous studies reporting diverse distribution of lineage I strains among human, food, and food-related isolates and an increased incidence of lineage III strains among animal isolates (25, 26). In conclusion, we can state that SSI-2 is predominantly but not exclusively present in strains of ST121.

Genomic islets such as SSI-2 are part of the accessory genome, confer quick improved adaptation to environmental variations, and are consistently interchanged by horizontal gene transfer, habitually including remnants of mobility-enabling sequences (27).

lin0464 and lin0465 in L. monocytogenes are homologues to the genes in L. innocua, with 98% and 94% DNA identity, respectively. There is growing evidence that all L. innocua strains habor SSI-2 (28). The whole SSI-2 of L. innocua is slightly shorter; however the lengths of lin0464 and lin0465 are identical. Our phylogenetic analysis revealed the highest similarity of L. innocua SSI-2 to those of the ST13 and CC193 strains (lineage II, all food isolates).

Given that L. monocytogenes and L. innocua are more closely related to each other than to other Listeria species and coexist in the same ecological niches, SSI-2 was most plausibly integrated into the L. monocytogenes genome in an elemental horizontal gene transfer event from L. innocua (29). The fact that the GC content of SSI-2 (36.46%) is more similar to that of L. innocua (37.4% on average) than that of L. monocytogenes (38% on average) supports the hypothesis of horizontal gene transfer. However, we could not identify obvious mobility factors such as integrases, transposases, or insertion sequence elements in SSI-2. This is consistent with the findings of Ryan et al., who reported the absence of mobility factors also in SSI-1 (12).

Unlike SSI-1 and SSI-2, we mainly detected the single-gene insert LMOf2365_0481 in human L. monocytogenes isolates. LMOf2365_0481 harbors a domain of unknown function, which is often associated with a WGR domain (PF05406), a putative nucleic acid-binding domain found in various transcriptional regulators: e.g., MolR (YehH) in Escherichia coli (30). However, the role of LMOf2365_0481 in stress response, niche adaptation, and virulence still remains to be elucidated and is the focus of our ongoing research.

The phenotypical characterization of lin0464 and lin0465 proved our hypothesis that SSI-2 is involved in stress response differently than SSI-1. We showed that the protease Lin0465 and, to a lesser extent, the transcription factor Lin0464 only support survival under alkaline and oxidative stress conditions and are not like SSI-1 involved in salt, acidic, and gastric stress responses. Of note, SSI-2 seems not to be involved in tolerance to quaternary ammonium compounds.

L. monocytogenes faces alkaline and oxidative stresses during cleaning and sanitation procedures in the food processing environment (3133). Oxidizing agents such as hydrogen peroxide, chlorine dioxide, peracetic acid, and sodium hypochlorite are frequently applied as antimicrobials. These low-molecular-weight compounds can easily pass cell membranes and cause oxidative stress by exerting their basic mechanism of action, the oxidation of cellular components (4, 32). In order to prevent oxidative damage caused to macromolecules leading to increased rates of mutagenesis and consequently to cell death, nonenzymatic and enzymatic protection as well as repair and detoxification mechanisms are essential (34). Nonenzymatic protection also involves proteases, which in general have an important function in orchestrating cellular reactions during stress response toward host-associated and non-host-associated stress conditions by degrading misfolded proteins, preventing accumulation of potentially toxic proteins and regulating chaperone and stress-related protein levels. Several proteases have successfully been identified to have a major role in stress response in L. monocytogenes, like the serine protease HtrA, essential for survival under heat, acid, and penicillin stress conditions (28), or the ClpP serine protease, known to be involved in heat and osmotic stress responses (35, 36).

Homologous proteins of the PfpI protease Lin0465 have already been linked to stress response in other bacterial species: e.g., in Pseudomonas aeruginosa, the protease PfpI is involved in antibiotic, UV, osmotic, and thermal stress responses (37, 38), and in E. coli, the PfpI protease YhbO protects the bacteria against high temperature, extreme pH, and UV irradiation (39). Searching L. monocytogenes genome data for the presence of proteins harboring a DJ-1/PfpI domain revealed that the L. monocytogenes genome encodes an additional PfpI protease, Lmo2256, with 20% amino acid identity to Lin0465. Transcriptome sequencing showed that expression of lmo2256 is increased under salt stress and long-term survival in L. monocytogenes, suggesting also a role of this PfpI protease in stress response (40, 41). However, the function of Lmo2256 is unknown.

In this study, we show an additional role of the PfpI protease in bacteria as being involved in alkaline and oxidative stress responses in L. monocytogenes. Therefore, SSI-2-positive strains might have an advantage in surviving in the food processing environment. This is in line with the fact that ST121 strains are highly abundant in the food processing environment and subsequently in food.

Our study provides several indications that lin0464 and lin0465 are a functional unit, justifying the term “stress survival islet”: (i) both genes support survival under the same stress conditions, (ii) mRNA expression of both genes is increased under oxidative stress, (iii) the time frame of increased transcription of the putative protease gene lin0465 due to oxidative stress is longer than that of lin0464, (iii) the constitutive expression of the transcription factor lin0464 alone in a strain devoid of SSI-2 did not alter the survival rate under alkaline and oxidative stresses (in contrast to lin0465), and (iv) finally we show that mRNA expression of lin0465 under stress conditions is regulated by Lin0464, confirming its function as a positive gene regulator.

Also SSI-1 includes a transcription factor gene, lmo0445, which regulates the expression of the islet genes lmo0444, lmo0446, lmo0447, and lmo0448 (12). However, in contrast to our study, Ryan et al. already observed regulation of the islet genes under nonstress conditions (in the stationary and exponential growth phases) (12). In our study, the basal transcription of lin0465 was not altered in the lin0464 mutant strain. Even in the strain constitutively expressing the transcription factor gene lin0464, the transcription of the protease gene lin0465 was only increased under stress conditions. This indicates that other transcriptional factors might be involved in the gene regulation of lin0465 under nonstress conditions.

Additionally, we detected that regulation of SSI-2 is independent from the alternative stress sigma factor σB. σB is essential for the survival of L. monocytogenes under stress conditions encountered in non-host-associated environments by mediating transcriptional initiation of stress-related genes, including all genes of SSI-1 (12, 4244). Besides σB, there are additional alternative sigma factors, such as σH or σL, which could be involved in SSI-2 regulation. The alternative sigma factor σH encodes a potentially pH-regulated transcriptional regulator that plays a role in survival under nutrient limitation and alkaline stresses, whereas σL is required for efficient growth at low temperatures and in the presence of various stresses such as organic acids, antibiotics, and toxins (4548). The involvement of σH or σL in the regulation of the genes of SSI-2 remains to be elucidated. At the moment, we can only state that SSI-2 is, as are many genomic islets and islands (49), a self-regulating islet independent from σB transcription.

In conclusion, we identified a novel stress survival islet, SSI-2, in L. monocytogenes, which consists of the two genes lin0464 and lin0465, forming an internally regulated and functional unit that supports survival under alkaline and oxidative conditions. SSI-2 is highly conserved and predominantly found in L. monocytogenes strains of ST121. Strains of ST121 are among the most abundant L. monocytogenes isolates in the food processing environment and food. Moreover, some of them have been reported to be persistent, since genetically indistinguishable ST121 strains have been repeatedly isolated from food production plants over extended time periods (50, 51). The genome of ST121 strains is highly conserved and harbors other genetic features besides SSI-2 that support survival in the food processing environment, like plasmids and the novel transposon Tn6188, conferring tolerance toward quaternary ammonium compounds (7, 9, 52). Collectively, these specific properties of ST121 strains facilitate survival and promote adaptation to encountered niches and can potentially lead to persistence in food processing environments. Understanding the genetic features of persistence is of great importance in order to control the occurrence of L. monocytogenes in food processing plants, to limit food contamination, and to subsequently avoid listeriosis.

MATERIALS AND METHODS

Bacterial strains.

The L. monocytogenes strains used in the prevalence study (n = 476) are shown in Data Set S1. The selected strain set consisted of human strains (n = 265) and strains from food and food processing environments (category food, n = 212), all available at the Institute for Milk Hygiene at the University of Veterinary Medicine Vienna.

Strain 6179, a cheese isolate from Ireland of serotype 1/2a and multilocus sequence type 121 (ST121) (21, 51) harboring insert lin0464-lin0465 (7), and F2365, a cheese isolate from California of serotype 4b and ST1 (53) harboring insert LMOf2365_0481, were used as positive controls for the lmo0443-lmo0449 screening PCR and for the generation of deletion mutants and complemented strains. Additionally, EGD-e (ATCC BAA-679), a rabbit isolate of serotype 1/2a and ST35 harboring insert SSI-1, was used as a positive control for the lmo0443-lmo0449 screening PCR.

DNA isolation.

All strains were stored at −80°C in brain heart infusion supplemented with yeast (BHI-Y) and 60% glycerol. Stock cultures were streaked out onto tryptic soy agar (TSA) and incubated at 37°C overnight. DNA was isolated from 1 ml of overnight culture (in BHI-Y at 37°C with shaking at 125 rpm) using the NucleoSpin tissue kit.

Screening PCR.

In total, 476 human, food, and food-associated L. monocytogenes strains were screened for the presence of inserts in the intergenic region between lmo0443 and lmo0449. PCR primers targeting the flanking genes lmo0443 and lmo0449 were used according to Hein et al. (13) (Table 1). Due to the different sizes of the inserts, two different PCR approaches were performed. For the detection of lin0464-lin0465 and LMOf2365_0481, PCR was performed using Platinum Taq DNA polymerase. The PCR conditions were as follows: 0.2 μM each primer, 2 mM MgCl2, 1 mM deoxynucleoside triphosphates (dNTPs), 1 U Platinum Taq DNA polymerase, 10× PCR buffer, diethyl pyrocarbonate (DEPC)-treated water, and 1 μl DNA template in a final volume of 25 μl. The PCR cycling conditions were as follows: initial denaturation at 94°C for 5 min, followed by 30 cycles of denaturation at 94°C for 30 s, annealing at 55°C for 30 s, and elongation at 72°C for 2 min, followed by final elongation for 5 min at 72°C and hold at 4°C. For the detection of SSI-1 (8.7 kbp), a long-range PCR using Long PCR enzyme mix was conducted with 1 mM dNTPs, 1 μM each primer, 10× PCR buffer (with 15 mM MgCl2), 2.5 U Long PCR enzyme mix, DEPC-treated water, and 2 μl DNA template in a final volume of 25 μl. The PCR cycling conditions were as follows: 3 min at 94°C (initial denaturation), followed by 10 cycles of denaturation at 94°C for 20 s, annealing at 55°C for 30 s, and elongation at 68°C for 7 min, followed by 25 cycles of denaturation at 94°C for 20 s, annealing at 55°C for 30 s, and elongation at 68°C for 12 min, with final elongation at 68°C for 10 min and hold at 4°C. Negative controls (DEPC-treated water) and positive controls (genomic DNA from L. monocytogenes strains 6179, F2365, and EGDe) were included in all PCRs. The presence and size of inserts were analyzed by agarose gel electrophoresis and visualized using peqGREEN staining.

TABLE 1.

Primers used for screening PCR, qRT-PCR, and the generation of deletion mutant and complemented strains

Gene target Method Primer Sequence (5′→3′)
lmo0443a Screening PCR Forward GGCACAATGAGCGAATTG
lmo0449a Screening PCR Reverse GTCCTTCTGGAACATTGC
16S rRNA gene qRT-PCR Forward TTAGCTAGTTGGTAGGGTAATGGC
Reverse CAGTACTTTACGATCCGAAAACCT
lin0464 qRT-PCR Forward CAGCAGACCTTTCCGCTATC
Reverse TGGTTCGCTTTTAGCTCGAT
lin0465 qRT-PCR Forward GATGACGATAGTGCCCGATT
Reverse GCGAGAAGCTCACTTGCTTT
sigB qRT-PCR Forward GCGCCGAATCAAAGAGTTAG
Reverse TTTCCCATTTCCATTGCTTC
lin0464 Generation of deletion mutant SoeA ATGGAATTCTATCGTCATCCCACCCA
SoeB ATAATAGCCACCTTTCAAAATTAC
SoeC GTAATTTTGAAAGGTGGCTATTATTGCTTGTTTTCATCAAAAAAACACG
SoeD AGGCTGCAGTGATGTTGGTGATGTTG
SoeE CTTCTGCATCTTTACGGAAGCG
SoeZ CGCTTCCGTAAAGATGCAGAAG
lin0465 Generation of deletion mutant SoeA ATGGAATTCGGAGTTGAACGAATA
SoeB ATATTTCCTCCATTTTCTATTAAT
SoeC ATTAATAGAAAATGGAGGAAATATTTAAGTGAGGCGGCTAATCTACAA
SoeD AGGCTGCAGAGATGGCGCTGTAATT
SoeE GTGCTATTCTTACCATCCAT
SoeZ ATAAGGATAGCGGAAAGGTC
sigB Generation of deletion mutant SoeA ATGGAATTCACTAATTCCGTAAAGC
SoeB AATGAAAAGCAGGTGGAGGAGA
SoeC AATGAAAAGCAGGTGGAGGAGAATGAACAAGGCAGTTGAATC
SoeD AGGCTGCAGGTGTCTTCGTTAAGTAATC
SoeE CGATTGCAACCGATATTTCTG
SoeZ CACAGGATTGTCAGATATCATC
lin0464 Complementation Forward CGGCCATGGAAGTTGATAGGCTTAT
Reverse CGGTCTAGACGTTTAGATGATATGGC
lin0465 Complementation Forward CGGCCATGGTTACAATTTATGTTTAC
Reverse CGGTCTAGAGCAAGCGACCAACCTACTTTG
sigB Complementation Forward CGGCCATGGCAAAAGTATCTCAACC
Reverse CGGCTGCAGCATCCCCGCAGTATTG
a

Primers according to Hein et al. (13).

MLST.

For all L. monocytogenes strains harboring the lin0464-lin0465 insert, multilocus sequence typing (MLST) was performed based on seven housekeeping genes: abcZ (ABC transporter), bglA (β-glucosidase), cat (catalase), dapE (succinyl diaminopimelate desuccinylase), dat (d-amino acid aminotransferase), ldh (l-lactate dehydrogenase), and lhkA (histidine kinase).

PCR was performed as suggested on the L. monocytogenes MLST database (http://bigsdb.pasteur.fr/listeria/primers_used.html). The PCR cycling conditions were as follows: initial denaturation at 94°C for 4 min, followed by 35 cycles of denaturation at 94°C for 30 s, annealing at 52°C (for all genes except bglA [45°C]) for 30 s, and elongation at 72°C for 1 min, with final elongation at 72°C for 10 min. PCR products were purified and sequenced (LGC Genomics, Berlin, Germany), and ST allele profiles and classification of the obtained STs into clonal complexes were determined using the L. monocytogenes MLST database. The new ST allele combination was sent for validation to the Listeria MLST database.

Additional strains harboring the lin0464-lin0465 insert (n = 78) were retrieved from GenBank by BLASTN using the NCBI genomes and whole-genome shotgun contigs (WGS) database (54). Determination of the ST of these strains was performed with the MLST tool available on the Center for Genomic Epidemiology website (https://cge.cbs.dtu.dk/services/MLST/) (55). For each strain, the SSI-2 nucleotide sequence was retrieved using BLASTN and aligned using MUSCLE implemented in MEGA7 (56). Additionally we included the SSI-2 sequences of four L. innocua strains (ATCC 33091, 12KSM, MOD1_LS888, and 9KSM). The maximum likelihood method based on the Tamura-Nei evolutionary model was used for the molecular phylogenetic analysis (57).

Generation of Δlin0464, Δlin0465, and ΔsigB deletion mutants and complemented strains.

In order to generate Δlin0464, Δlin0465, and ΔsigB nonpolar deletion mutants in the L. monocytogenes 6179 wild type, the splicing by overlap extension PCR technique (SOEing-PCR) and the temperature-sensitive shuttle vector pKSV7 (58), conferring chloramphenicol resistance, were used according to Rychli et al. (59) (Table 2). Primers were designed (SoeA to -D) to amplify two DNA segments (SoeAB and SoeCD) flanking the genomic region targeted for deletion and for the screening PCR (Table 1). PCRs were performed using Phusion Green high-fidelity DNA polymerase.

TABLE 2.

L. monocytogenes strains and plasmids used in this study

Strain or plasmid Relevant characteristic(s) Source or reference
Strains
    6179 Wild type, ST121 21, 51
    F2365 Wild type, ST1 53
    6179 Δlin0464 lin0464 deletion mutant This study
    6179 cΔlin0464 Complemented Δlin0464 mutant strain This study
    6179 Δlin0465 lin0465 deletion mutant This study
    6179 cΔlin0465 Complemented Δlin0465 mutant strain This study
    6179 ΔsigB sigB deletion mutant This study
    6179 cΔsigB Complemented ΔsigB mutant strain This study
    F2365 lin0464 F2365 constitutively expressing lin0464 This study
    F2365 lin0465 F2365 constitutively expressing lin0465 This study
Plasmids
    pKSV7 Chloramphenicol resistant, temp sensitive 58
    pNZ44 Vector leading to constitutive expression of target gene, chloramphenicol resistant 60

For the complementation of the lin0464, lin0465, and sigB mutant strains, we used the vector pNZ44 (60), leading to constitutive gene expression (60). DNA was amplified from the L. monocytogenes 6179 wild type using Phusion Green high-fidelity DNA polymerase and specific primer pairs (Table 1). The vector pNZ44 and the lin0464, lin0465, and sigB PCR products were digested with two restriction enzymes, respectively (lin0464 and lin0465, XbaI and NcoI; sigB, NcoI and PstI), ligated using T4 DNA ligase, and transformed into competent Escherichia coli (StrataClone SoloPack; Agilent Technologies). The plasmid containing the gene of interest was then electroporated into competent 6179 Δlin0464, Δlin0465, and ΔsigB deletion mutant strains and the F2365 wild-type strain. Positive transformants were selected on TSA supplemented with 10 μg/ml chloramphenicol and confirmed by PCR.

Growth under stress conditions.

The L. monocytogenes 6179 wild type and 6179 Δlin0465 deletion mutant strain were grown in BHI-Y overnight at 37°C. The optical density at 600 nm (OD600) of 0.2 was adjusted, and the bacterial cells were grown in either BHI-Y or defined minimal medium [DMM: RPMI 1640 supplemented with 0.088 g/liter ferric(III)citrate] at 10°C (cold stress), 37°C, and 44°C (heat stress) or BHI-Y supplemented with 5% NaCl at 10 and 37°C (osmotic stress). OD600 was measured every hour for a minimum of 24 h.

The MIC determination of benzalkonium chloride was performed according to Müller et al. (52) using benzalkonium chloride concentrations of 0, 2, 5, 10, 15, 20, 25, and 30 mg/liter.

Survival under stress conditions.

The L. monocytogenes 6179 wild type and 6179 Δlin0465 deletion mutant strain were grown to the stationary growth phase in 8 ml BHI-Y and adjusted to an OD600 of 0.1 in a total volume of 10 ml DMM adjusted to either pH 2.5 (with 1 M HCl) or pH 11 (with 2.5 M NaOH) or containing 10 mM cumene hydroperoxide (CUHP) and incubated for 2 h at 37°C. Furthermore, bacteria were incubated for 2 h at 37°C in synthetic gastric fluid according to Cotter et al. (61). Bacteria incubated only in DMM were used as a control. Heat stress was applied by incubating bacteria for 10 and 30 min in DMM at 55°C. CFU were determined by counting after serial plating on TSA plates in triplicates. Each experiment was performed three times. Percentages of survival were calculated by dividing the counted, untransformed CFU of cultures exposed to stress by the counted, untransformed CFU of control cultures not exposed to stress.

Additionally, we determined survival under alkaline and oxidative conditions using the 6179 wild type, 6179 Δlin0465 deletion mutant and complemented strain (6179 cΔlin0465), 6179 Δlin0464 deletion mutant and complemented strain (6179 cΔlin0464), F2365 wild type, and F2365 lin0464 and F2365 lin0465. These experiments were repeated five times.

Antibiotic susceptibility testing.

Antibiotic susceptibility of the L. monocytogenes 6179 wild type and 6179 Δlin0465 deletion mutant strain was determined by disk diffusion test on Mueller-Hinton agar supplemented with 2.5% sheep blood incubated at 37°C for 24 h (Table S2). The results were interpreted according to EUCAST (62).

Isolation of mRNA.

A single colony of the specific L. monocytogenes strains was grown in 8 ml BHI at 37°C with shaking (125 rpm) for 8 h. Bacterial cultures were adjusted to an OD600 of 0.1 in a final volume of 35 ml of DMM and incubated at 20°C for 17 h. Cells were exposed to oxidative stress (5 mM CUHP in 15 ml DMM) for 10, 30, and 60 min (for the 6179 wild type) and 10 min for the 6179 Δlin0464 deletion mutant and complemented strain and 6179 ΔsigB deletion mutant and complemented strain at 20°C, harvested by centrifugation (3,220 × g, 10 min, 20°C), resuspended in 350 μl RNAlater solution, and stored at 4°C until RNA isolation. RNA isolation was performed according to Rychli et al. (63). A PCR targeting the 16S rRNA gene was performed using BiomixRed to confirm the absence of DNA. The PCR cycling conditions were as follows: initial denaturation at 95°C for 5 min, followed by 30 cycles of denaturation at 95°C for 15 s, annealing at 60°C for 30 s, and elongation at 72°C for 30 s, with final elongation at 72°C for 2 min and hold at 4°C. Primers are listed in Table 1. RNA amounts between 25 and 300 ng were used for cDNA synthesis using the RevertAid H Minus first-strand cDNA synthesis kit according to the manufacturer's protocol.

qRT-PCR.

Primers targeting the L. monocytogenes 16S rRNA, lin0464, and lin0465 genes were designed using Primer3 (v.0.4.0) (Table 1). For quantitative reverse transcription-PCR (qRT-PCR), the Brilliant III Ultra Fast SYBR green qPCR master mix with Low ROX and the Stratagene Mx3000P cycler was used. The cycling conditions were as follows: initial denaturation at 95°C for 3 min, followed by 40 cycles of denaturation at 95°C for 15 s, annealing at 60°C for 20 s, and elongation at 72°C for 20 s. Subsequently, a dissociation curve was established (55 to 95°C, 0.1°C/s). As an internal amplification control and for calculation of the respective primer efficiencies, a dilution series of genomic 6179 wild-type DNA (1 to 10−6 ng/μl) was used. Data were analyzed using Mx3000P MxPro software (Stratagene). Each sample was measured in duplicates, and relative quantification was performed using the comparative threshold cycle (CT) method. Values, given as x-fold of the 6179 wild-type control were normalized to 16S rRNA gene as an internal reference. Mean values ± standard deviations (SD) from three biological replicates performed in duplicate and measured in duplicate were calculated.

Statistical analysis.

Microsoft Excel 2007 and SPSS.20 software were used for statistical analysis. The Brown-Forsythe and Welch tests were used to confirm the variance homogeneity. t tests with independent variables were used to compare the survival or gene expression between two groups, and a post hoc test (Tukey's honestly significant difference [HSD] in the case of variance homogeneity and Games-Howell in the case of variance inhomogeneity) was used to determine significant differences between the survival of more than two strains. P values of ≤0.05 were considered to be statistically significant.

Supplementary Material

Supplemental material

ACKNOWLEDGMENTS

This work was funded by the Austrian Science Fund (FWF), grant P27920-B22, to Kathrin Rychli.

We thank Angelika Kurz for technical assistance and Kati Szakmary-Brändle for providing help with the Listeria strain collection.

Footnotes

Supplemental material for this article may be found at https://doi.org/10.1128/AEM.00827-17.

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