Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Involvement of the Post-Transcriptional Regulator Hfq in Yersinia pestis Virulence

  • Jing Geng,

    Affiliation State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China

  • Yajun Song,

    Affiliation State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China

  • Lei Yang,

    Affiliation State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China

  • Yanyan Feng,

    Affiliation State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China

  • Yefeng Qiu,

    Affiliation Laboratory Animal Center, Academy of Military Medical Sciences, Beijing, China

  • Gang Li,

    Affiliation Laboratory Animal Center, Academy of Military Medical Sciences, Beijing, China

  • Jingyu Guo,

    Affiliation State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China

  • Yujing Bi,

    Affiliation State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China

  • Yi Qu,

    Affiliation State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China

  • Wang Wang,

    Affiliation State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China

  • Xiaoyi Wang,

    Affiliation State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China

  • Zhaobiao Guo,

    Affiliation State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China

  • Ruifu Yang ,

    ruifuyang@gmail.com (RY); yanpinghan@gmail.com (YH)

    Affiliation State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China

  • Yanping Han

    ruifuyang@gmail.com (RY); yanpinghan@gmail.com (YH)

    Affiliation State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China

Abstract

Background

Yersinia pestis is the causative agent of plague, which is transmitted primarily between fleas and mammals and is spread to humans through the bite of an infected flea or contact with afflicted animals. Hfq is proposed to be a global post-transcriptional regulator that acts by mediating interactions between many regulatory small RNAs (sRNAs) and their mRNA targets. Sequence comparisons revealed that Y. pestis appears to produce a functional homologue of E. coli Hfq.

Methodology and Principal Findings

Phenotype comparisons using in vitro assays demonstrated that Y. pestis Hfq was involved in resistance to H2O2, heat and polymyxin B and contributed to growth under nutrient-limiting conditions. The role of Hfq in Y. pestis virulence was also assessed using macrophage and mouse infection models, and the gene expression affected by Hfq was determined using microarray-based transcriptome and real time PCR analysis. The macrophage infection assay showed that the Y. pestis hfq deletion strain did not have any significant difference in its ability to associate with J774A.1 macrophage cells. However, hfq deletion appeared to significantly impair the ability of Y. pestis to resist phagocytosis and survive within macrophages at the initial stage of infection. Furthermore, the hfq deletion strain was highly attenuated in mice after subcutaneous or intravenous injection. Transcriptome analysis supported the results concerning the attenuated phenotype of the hfq mutant and showed that the deletion of the hfq gene resulted in significant alterations in mRNA abundance of 243 genes in more than 13 functional classes, about 23% of which are known or hypothesized to be involved in stress resistance and virulence.

Conclusions and Significance

Our results indicate that Hfq is a key regulator involved in Y. pestis stress resistance, intracellular survival and pathogenesis. It appears that Hfq acts by controlling the expression of many virulence- and stress-associated genes, probably in conjunction with small noncoding RNAs.

Introduction

Hfq is proposed to be an RNA-binding protein and was first identified as an Escherichia coli protein required for the replication of the RNA phage Qβ [1]. Subsequently, it has been characterized as a global post-transcriptional regulator that acts in numerous bacterial pathways and mediates interactions between many regulatory small RNAs (sRNAs) and their mRNA targets [2], [3]. In most cases, these Hfq-mediated interactions influence the translation or the stability of the target mRNAs. Homologues of E. coli hfq have been described in many bacteria [4]. It has also been demonstrated that Hfq contributes to virulence in dozens of pathogenic bacteria [5][12].

Yersinia pestis, the causative agent of plague, is considered a facultative intracellular pathogen during its early stage of infection. Plague, a deadly disease, is transmitted primarily between fleas and mammals and is spread to humans through the bite of an infected flea or contact with afflicted animals [13]. Analysis of available genome sequences has revealed that Y. pestis appears to produce a homologue of Hfq with 88% similarity to E. coli Hfq. In this regard, we were interested in understanding the role of Hfq in Y. pestis pathogenesis. Using in vitro assays, we first demonstrated that Hfq affects a number of phenotypes, including sensitivity to heat, oxidative stress and tolerance to long-term nutrient-limiting and polymyxin B treatment. Then, we examined the role of Hfq in Y. pestis virulence using macrophage and mouse infection models. Meanwhile, many Hfq-dependent genes were determined by microarray-based transcriptome analysis, which supported the results concerning the attenuated phenotype of the hfq deletion mutant.

Results

Phenotypic comparisons between Y. pestis WT and Δhfq::KmR mutant

The growth of wild-type (WT) Y. pestis, the hfq deletion mutant (Δhfq::KmR) and its complementary strain (201 Δhfq::KmR/pACYC-hfq) was compared in LB liquid medium at 26°C (Figure 1A). The Δhfq::KmR mutant showed a lower optical density during the entire tested period when compared with the WT strain 201, while 201 Δhfq::KmR/pACYC-hfq showed a growth rate similar to the WT strain. Meanwhile, cell viability of the Δhfq::KmR strain was uncompromised compared to that of the WT strain 201 at the same OD620 of 0.7 (data not shown).

thumbnail
Figure 1. In vitro stress resistance of Y. pestis WT, Δhfq::KmR and 201 Δhfq::KmR/pACYC-hfq strains.

Resistance to heat- or H2O2-mediated lethality (B) and growth curves of Y. pestis WT and Δhfq::KmR strain in TMH medium (C) or in LB media (A) in the presence (+) or absence (−) of 40 µg/ml polymyxin B (D) and 2.5% NaCl (E) at 26°C. **P<0.01, the survival percentage of the Δhfq::KmR mutant was significantly lower than that of Y. pestis WT strain 201.

https://doi.org/10.1371/journal.pone.0006213.g001

Within phagocytes during the early stage of infection, Y. pestis must survive stresses such as oxidative agents, high osmolarity, limited nutrition and antibacterial peptides [14]. In addition, the heat shock response might be also elicited from several stresses during growth of the facultative Y. pestis within phagocytes. Because of the pleiotropic effects of a deletion of hfq in some bacteria [12], the susceptibility to the various stress conditions mentioned above was compared between WT Y. pestis and Δhfq::KmR cells. Deletion of the hfq gene in Y. pestis caused the survival percentage to decrease by about 40% upon exposure to either heat or oxidative stress (Figure 1B). TMH, a chemically defined medium, is used as a nutrition-limiting medium, which provides the essential nutrients but never the rich nutrients that Y. pestis requires for in vitro growth [15]. The Y. pestis Δhfq::KmR mutant showed a longer lag phase (15 hr) after inoculation into fresh TMH medium and reached the stationary phase at the same optical density when compared with the WT strain 201 (Figure 1C); this growth pattern is different from the growth behavior observed in LB medium (rich medium). We also analyzed the survival of the WT and Δhfq::KmR strains during long-term incubation in LB medium containing 40 µg/ml polymyxin B (antibacterial peptide) or 2.5% NaCl (high osmolarity). Growth of the Δhfq::KmR strain was obviously repressed in the presence of polymyxin B compared to that of the WT strain 201 (Figure 1D). Growth retardation of both the WT and Δhfq::KmR strains were observed upon exposure to high concentration of NaCl, but the growth rate difference between the strains was not statistically significant (Figure 1E).

In summary, these data indicated that Hfq contributes to the resistance to heat, oxidative stress, nutrition limitation and antibacterial peptide, but is not required for the resistance of Y. pestis to high osmolarity.

The reduced phagocytosis resistance and intracellular survival of Y. pestis Δhfq::KmR mutant

The ability of Y. pestis to proliferate in macrophages is likely to be important in the early stages of plague pathogenesis. The increased susceptibility of Y. pestis Δhfq::KmR to several environmental stresses mimicking phagosome microenvironments suggested that Hfq likely played a role in Y. pestis antiphagocytosis. To test whether Hfq had any influence on adherence to and survival within phagocytes, J774A.1 murine macrophage cells were infected with Y. pestis strain 201, Δhfq::KmR and Δhfq::KmR/pACYC-hfq. There was no significant difference in the ability of three strains to bind to or associate with J774A.1 macrophages (approximately 60% of the inoculated bacteria) (Figure 2A). In contrast, Y. pestis Δhfq::KmR showed two-fold higher levels of phagocytosis by macrophages than did the WT strain (Figure 2B). Despite starting with relatively high numbers of internalized bacteria, Y. pestis Δhfq::KmR cells exhibited substantial drops in viable counts inside J774A.1 (83.9% killed), indicating extensive killing by the macrophages by the 2nd hr post-infection. 63.7% and 76.8% of viable WT and complemented strain, respectively, were recovered over the same period. At the 4th hr post-infection, the survival percentage of Δhfq::KmR was statistically lower than both WT and Δhfq::KmR/pACYC-hfq strains (Figure 2C).

thumbnail
Figure 2. Infection of J774A.1 mouse macrophages with Y. pestis WT, Δhfq::KmR and 201 Δhfq::KmR/pACYC-hfq strains.

The percentage of cell-associated bacteria (A) was calculated as the number of macrophage cell-associated bacteria divided by the inoculum times 100, while the percent phagocytosis (B) was calculated as the number of intracellular bacteria at the zero point divided by the macrophage cell-associated bacteria times 100. The percent intracellular survival (C) was calculated as the number of intracellular bacteria at the 2nd or 4th hr post-infection divided by that at the zero point. **P<0.01, *P<0.05, the percentage of the Δhfq::KmR mutant was significantly lower than that of Y. pestis WT strain 201.

https://doi.org/10.1371/journal.pone.0006213.g002

These results suggested that Hfq is involved in the phagocytosis and intracellular survival of Y. pestis but has no significant impact on adherence to cultivated macrophages.

The impaired virulence of Y. pestis Δhfq::KmR mutant

The deletion of the hfq gene affected the virulence of Y. pestis strain 201. The LD50 of both the WT strain 201 and the 201 Δhfq::KmR/pACYC-hfq strain were <10 CFU subcutaneously (s.c.), but up to about 5×106 cells of the Δhfq::KmR strain was not lethal to mice inoculated s.c. (Figure 3A). The observation suggested that the significantly decreased virulence of the Δhfq::KmR strain is due to the lack of Hfq protein rather than to polar effects caused by the insertion of a kanamycin resistance cassette. For the intravenous route of infection, the LD50 of the WT strain 201 was <10 CFU, while only one of five mice was dead on day 10 post-infection with 5×104 cells of Δhfq::KmR (Figure 3B).

thumbnail
Figure 3. Survival of mice infected subcutaneously (A) or intravenously (B) with Y. pestis WT (□ or ▪) and Δhfq::KmR (Δ) strains.

https://doi.org/10.1371/journal.pone.0006213.g003

Competitive index (CI) analysis is considered to be a sensitive measure of the virulence attenuation of bacterial pathogens [16], [17]. Competitive assays were performed in mice by intravenously inoculating them with bacteria to examine the in vivo fitness of the Δhfq::KmR mutant compared to WT strain 201. We noted that few bacteria of the Δhfq::KmR mutant strain were recovered from the spleen or liver after inoculation with 1×104 CFU, but all the infected animals had a burden of the WT strain approaching 107 to 108 CFU in the spleen or liver at 48 hours post-inoculation (Figure 4). The mean CI values in the spleens were 0.005 at 24 hours and <0.001 at 48 hours (Figure 4A), and similar CI values were obtained in the livers (0.003 at 24 hours and <0.001 at 48 hours) (Figure 4B). The competition experiments demonstrated that the Δhfq::KmR mutant was significantly attenuated when compared to the WT Y. pestis. Clearly, the Δhfq::KmR mutant was almost completely overtaken by the population of WT Y. pestis, indicating that this mutant was much less competitive in vivo than its parental strain.

thumbnail
Figure 4. Growth within mice organs after intravenous infection with Y. pestis WT (□) and Δhfq::KmR (Δ) strains.

**P<0.01, values of Y. pestis strain 201 were significantly higher than that of the Δhfq::KmR mutant. The average of log10 CFU in the spleen (A) or liver (B) for four or six mice is shown as a horizontal bar; Geometric means of CI values from the respective groups are shown in the graph.

https://doi.org/10.1371/journal.pone.0006213.g004

To determine whether the decline in CI value was due to a generalized growth disadvantage or an inability to compete under nutrient-limiting conditions, in vitro competitive assays were carried out in LB or TMH medium. An equal mixture of WT Y. pestis and the Δhfq::KmR mutant was diluted 20-fold into either fresh LB or TMH medium and allowed to grow at 37°C for 8 hr. The in vitro CI value was then calculated. The results showed that the growth of Δhfq::KmR approximated to that of strain 201 in vitro (CI = 0.61 for LB medium or 0.84 for TMH medium). These observations indicated that Hfq could likely be required for Y. pestis survival and proliferation in mice.

Many virulence- or stress-related transcripts affected by Hfq

To observe the effects of hfq deletion on gene expression, DNA microarrays that cover 4005 protein-coding genes of the Y. pestis genome [18] were hybridized with total RNA from two independent preparations of the WT and mutant cells. RNA was extracted from Y. pestis cells cultivated at 37°C, as the transcription of hfq is induced at 37°C and this has proven to produce numerous virulence factors [15], [18][20]. In total, 243 genes showed a two-fold or greater difference in transcript abundance in the Δhfq::KmR mutant when compared to the WT strain 201 (Table S1). Among them, 139 genes were down-regulated and the other 104 up-regulated. Functional classification according to the genome annotation of Y. pestis CO92 (http://www.sanger.ac.uk/Projects/Y_pestis/) showed that these altered genes belong to more than 13 functional categories (Figure 5). There are four over-represented functional classes consisting of 64 genes, which account for 26.3% of all regulated genes. Approximately 15.8% and 13.7% of the down-regulated genes belong to the classes of degradation of small molecules or energy metabolism, respectively, but only 2.7% and 3.0% (107 and 122 genes) of the whole Y. pestis genome belong to these two functional classes, respectively. Similarly, approximately 11.5% and 10.6% of the up-regulated genes belong to the classes of macromolecules metabolism or adaptations and atypical conditions, respectively, but only 4.7% and 0.9% (187 and 36 genes) of the whole Y. pestis genome belong to these two functional classes, respectively.

thumbnail
Figure 5. Functional classification of Hfq-dependent genes according to the Y. pestis CO92 Genome Project.

https://doi.org/10.1371/journal.pone.0006213.g005

About 23% of all the Hfq-dependent transcripts (56 genes) are hypothesized to be related to pathogenicity or stress adaptation processes, some of which are listed in Table 1. Both pla, which encodes the plasminogen activator, and caf1, which is responsible for capsule synthesis, were down-regulated in the Δhfq::KmR mutant. KatA is the main scavenger of exogenous H2O2 in Y. pestis, as shown in our previous study [21]. Some genes involved in oxidative stress, including dps, katA, katY, sodA and sodC, were down-regulated in Δhfq::KmR, which is further correlated with the observation that the Δhfq::KmR mutant was obviously impaired in its resistance to high H2O2 concentration (Figure 1B). Besides that, the uspA and uspB genes, which are responsible for universal stress, were also down-regulated more than 2-fold. Thus, a possible role in stress responses of Y. pestis could be suggested for these gene products, which are involved in the survival of growth-arrested cultures in E. coli [22].

thumbnail
Table 1. Hfq-dependent genes involved in stress resistance and virulence as determined by microarray and quantitative RT-PCR analysis.

https://doi.org/10.1371/journal.pone.0006213.t001

Of the data available for 57 genes on plasmid pCD1, almost 50% (28 genes) displayed statistically significant increases at the mRNA level in the Δhfq::KmR mutant. Since sopAB, which encodes putative plasmid partitioning control proteins, was also up-regulated, it cannot be excluded that Hfq has an impact on the replication process of this plasmid. Surprisingly, several genes involved in the heat shock response such as hslUV, hslOR, htpG, htpX and lon were up-regulated in the Δhfq::KmR mutant. In addition, psaEF and psaABC, which are responsible for the synthesis of the pH 6 antigen [23], [24], and rovA, which plays a role in virulence regulation [25], were also found to be up-regulated upon deletion of the hfq gene from Y. pestis. The drastic up-regulation of YPMT1.34 and YPMT1.34A (more than 100-fold) is difficult to explain because no known functions have been attributed to these genes.

All the operons or genes listed in Table 1 were chosen to compare data between microarray and quantitative RT-PCR techniques. As previous studies indicated, the relative values of each gene measured by RT-PCR were always lower than those measured by microarray. For example, five differentially regulated genes including psaE, sodA, hslO, uspB and uspA were found to only be regulated 1.4- to 1.6-fold by RT-PCR. However, a high level of concordance (r = 0.97) was observed between the microarray results and the real-time RT-PCR data (Figure 16), which confirms the reliability of the data produced in this study.

thumbnail
Figure 6. Comparison of transcription measurements by microarray and real-time PCR assays.

https://doi.org/10.1371/journal.pone.0006213.g006

Discussion

The RNA-binding protein Hfq was recently assumed to be a key regulator that plays an important role in pleiotropic effects, including stress resistance and virulence, in both Gram-negative bacteria [5][7], [9], [10], [12], [26] and Gram-positive bacteria [11]. Therefore, we speculated that Hfq is required for Y. pestis survival and proliferation in mice. In this study, we have shown that deletion of the hfq gene resulted in a significant reduction in Y. pestis virulence as evidenced by an increased LD50. The competitive assays indicated that, in the absence of Hfq, Y. pestis cells might be quickly eliminated by the host immune system.

It is believed that Y. pestis survives and replicates within macrophages during the early stages of infection at peripheral host sites [14], [27]. The moiety that escapes from macrophages can multiply outside of host cells and eventually cause systemic infection. The phagosomal microenvironments, which can be subject to heat shock, oxidative agents, nutrition limitation, high osmolarity and killing or inhibiting activities of antibacterial peptides etc., are harmful to the survival and proliferation of Y. pestis in vivo. Based on this notion, the importance of Y. pestis Hfq under stress conditions was examined by comparing the growth or survival characteristics of the Δhfq::KmR mutant to those of the wild-type strain. We found that the Δhfq::KmR mutant is more sensitive to exogenous H2O2, heat, nutrient limitation and the antibacterial cationic peptide polymyxin B, which Y. pestis might encounter during its infection. It is demonstrated that Hfq seems to be involved in stress resistance, which determines Y. pestis persistence in vivo. These results suggest that Hfq is likely required for Y. pestis survival within phagocytes and thus influences the ability of Y. pestis to elicit a systemic infection.

Our data indicated that Hfq might be involved in Y. pestis persistence within macrophages, especially during the initial stage of infection, which is consistent with the hypothesis inferred from environmental stresses in vitro. Even though the exact impact of Hfq on the intracellular growth of Y. pestis remains to be characterized, the high susceptibility of Δhfq::KmR to several stressful conditions in vitro might partially explain the poor survival of the mutant within J774A.1 macrophages at 2nd hr and 4th hr post-infection.

In order to survive and grow within the hostile environments of host organisms, Y. pestis must acclimatize to environmental changes and respond quickly by adjusting the expression of stress- and virulence-associated genes. In this study, the potential connections between Hfq, stress resistance and the pathogenesis of Y. pestis were further supported by the observation that the deletion of hfq caused significant changes in the gene expression profile of strain 201. In some bacteria, Hfq has proved to influence the expression of virulence genes by altering the stability of their mRNAs [26], [28][31]. We therefore anticipated different expression of the genes encoding virulence factors in the Δhfq::KmR strain when compared to the WT strain 201 by microarray-based transcriptome analysis. Interestingly, Hfq was shown to cause significant alterations in the expression of some important virulence factors such as Pla, F1 capsular antigen and pH 6 antigen etc. Y. pestis is a species evolved from Y. pseudotuberculosis, and it has acquired an exceptional pathogenicity potential [32]. The two Y. pestis-specific plasmids are pMT1 and pPCP1, which were acquired during speciation of Y. pestis from Y. pseudotuberculosis. In addition to its role in flea-borne transmission, Pla on plasmid pPCP1 has been shown to contribute to the pathogenesis of bubonic and primary pneumonia plague [33][36]. The capsular antigen F1 on plasmid pMT1 and the pH 6 antigen promote resistance to phagocytosis and help the bacteria escape host defense mechanisms [37], [38]. Their differential expression might partially account for the reduced phagocytosis resistance of the Y. pestis hfq deletion strain that was shown in our study.

Modulation of the virulence-associated loci might partially account for the attenuated virulence of the Δhfq::KmR mutant. Besides that, the Hfq-dependent genes involved in stress resistance were likely to be regulated in order to facilitate the resistance and adaptation of Y. pestis to hostile host environments. Heat shock proteins in Y. pestis express at 45°C, as described previously [39], while the present observation showed that in the absence of hfq their activation occurred even at 37°C due to increased sensitivity to heat stimuli. Hfq also affected stress-inducible genes involved in the detoxification of oxidative agents and the universal stress response, which might contribute to the diminished capacity of the Y. pestis Δhfq::KmR mutant to tolerate different environmental stresses and to survive within cultured J774A.1 macrophages.

Hfq is also important for protein translation by changing ribosome accessibility through mRNA-sRNA pairing [40][43]. Further attempts are being made in our lab to determine Hfq-dependent changes in Y. pestis protein expression. The modulation of bacterial pathogenicity by Hfq has been shown to be associated with small non-coding regulatory RNAs [26], [44]. There is little information regarding sRNAs in Y. pestis except for gcvB, which was recently reported by Mcarthur et al [45]. Thus, further studies will be necessary to determine if sRNAs are associated with the hfq defective virulence phenotype in Y. pestis.

Materials and Methods

Bacterial strains and growth media

The Y. pestis WT strain 201 and the Δhfq::KmR mutant were used in this study. Strain 201 was isolated from Microtus brandti in Inner Mongolia, China. Its major phenotypes are F1+ (able to produce fraction 1 capsule), LcrV+ (presence of V antigen), Pst+ (able to produce pesticin) and Pgm+ (pigmentation on Congo-red media). The genome contents of strain 201 were identical to Y. pestis strain 91001 according to our previous DNA microarray-based comparative genomic analysis. Both strain 201 and strain 91001 belong to a newly established Y. pestis biovar, microtus [46], which is supposed to be avirulent in humans but highly lethal in mice [47].

The hfq deletion mutant of Y. pestis, Δhfq::KmR, was constructed by replacing the entire 306-bp hfq gene with the kan cassette by means of Red homologous recombination. The WT strain 201 carrying plasmid pKD46, which could express the highly efficient Red homologous recombination system, was used as the competent host. The PCR fragment carrying the kan cassette flanked by regions homologous to the hfq gene was electroporated into the competent cells. The recombinant colonies were selected due to their kanamycin resistance. To obtain a strain in which Δhfq::KmR is complemented, plasmid pACYC184, which contains a PCR fragment covering a region from 300 bp fragment upstream to 200 bp downstream of the hfq gene, was introduced into Y. pestis Δhfq::KmR.

Stress resistance assays

Y. pestis WT strain 201 and the Δhfq::KmR mutant were grown in LB medium at 26°C to middle exponential phase (OD620 = 0.7∼0.9). The bacterial cultures were harvested, resuspended in 0.85% NaCl and adjusted to an OD620 of 0.7. Cells were diluted 1:20 in the chemically defined medium TMH (nutrition limitation) [15] or LB medium containing 2.5% NaCl or 40 µg/ml polymyxin B. Cells were then incubated at 26°C. Bacterial growth was monitored by measuring absorbance at OD620. For heat treatment, cells at mid-log phase were transferred to 50°C for 10 min. For oxidative resistance determination, mid-log cells grown at 26°C were transferred to 37°C for 3 hr and then treated with 200 mM H2O2 for 10 min. Dilutions of the cell suspension were plated on Hottinger agar to determine the number of viable bacteria. All the experiments were performed in three independent cultures. For heat, H2O2 and nutrient-limiting tolerance experiments, results are expressed as the mean percentage±standard deviation from three independent experiments. The growth curve for polymyxin and NaCl treatment consists of the means of results from three independent experiments with similar results.

Macrophage infection

Since Y. pestis can replicate in J774A.1 macrophages [48], exponential growth of Y. pestis strain cells at 26°C followed by a 3 hr incubation at 37°C were used to infect these macrophages at a multiplicity of infection (MOI) of ∼50. After addition of bacteria, the tissue culture plates were centrifuged at 500 g for 5 min to facilitate bacterial contact with macrophage cells. The macrophages were washed twice with PBS after a 30 min incubation and the number of total macrophage cell-associated bacteria was determined. Then fresh medium containing 50 µg of gentamicin per ml (Ameresco, Solon, OH, USA) was added for 30 min to each well to kill extracellular bacteria and the number of intracellular bacteria was determined as a control (referred to as the zero point). The cells were washed twice with PBS, and fresh medium containing 10 µg of gentamicin per ml was added to the cells. The cells were incubated at 37°C with gentamicin treatment and at the zero point, hour 2, and hour 4, the macrophages were washed and lysed, the cell lysates were collected and viable bacteria was counted. Duplicate samples were taken at all time points and each experiment was repeated twice on different days. The results are represented as the averages of data from two experiments.

Mouse infections

Groups of five or six 6-week-old female BALB/c mice were injected subcutaneously or intravenously with 5 to 5×106 bacteria. Mortality was recorded daily for 14 days. LD50 values were calculated by the Reed-Muench equation [49].

Y. pestis WT strain 201 and the Δhfq::KmR mutant were grown in LB medium at 26°C overnight. The bacterial cultures were washed and diluted to 2×105 cells per ml in 0.85% NaCl, and 0.1 ml of a 1∶1 mixture of the two bacterial strains was used to infect five BALB/c mice intravenously. For CI determination, the infected mice were sacrificed after 24 or 48 hrs and bacterial cells were recovered from livers and spleens. Serial dilutions were plated on Hottinger agar containing or not containing kanamycin to determine the colony-forming units (CFUs) per organ. The CI value was calculated as the ratio of the number of mutant/WT bacteria recovered [50]. The data were analyzed by Student's t-test, with P<0.05 considered statistically significant. All mouse experiments were carried out according to the Guidelines for the Welfare and Ethics of Laboratory Animals of Beijing.

Microarray-based transcriptome and quantitative RT-PCR analysis

Y. pestis WT strain 201 and the Δhfq::KmR mutant were grown at 26°C in LB medium to middle exponential phase and then transferred to 37°C for 3 hr. Two independent bacterial cultures of strain 201 (control condition) and the Δhfq::KmR mutant (test condition) were considered biological replicates for RNA isolation. Four separate labeled probes were made for each RNA preparation as technical replicates. cDNA synthesis and Cy3 or Cy5 dye labeling were performed as described previously. Pairwise comparisons were made using dye swaps to avoid labeling bias. Microarray-based hybridization was performed as previously described [39]. For data filtering and data analysis, spots with background-corrected signal intensity (median) in both channels that were less than two fold of background intensity (median) were rejected from further analysis. Data normalization was performed on the remaining spots by total intensity normalization methods. The normalized log2 ratio of test/reference signal for each spot was recorded. Genes with less than three data points were considered unreliable, and their data points were discarded as well. The averaged log2 ratio for each remaining gene on the eight replicate slides was ultimately calculated. Significant changes in gene transcription level were identified with SAM software [51] using one class mode. The array data was deposited in Gene Expression Omnibus in accordance with MIAME guidelines (GEO accession number GSE15579).

For quantitative RT-PCR, cDNA was generated using 5 µg of total RNA and 3 µg of random hexamer primers with the Superscript II system. Gene-specific primers were designed using ArrayDesigner 2.0 software (Table S2). All primer pairs produced a 150∼200 bp amplicon when Y. pestis genomic DNA was used as the template for PCR. Real-time PCR was performed in duplicate for each RNA preparation using the LightCycler system (Roche) with an appropriate dilution of cDNA as a template. On the basis of the standard curve of 16S rRNA, the relative mRNA level was determined by calculating the threshold cycle (ΔCt) of each gene by the classic ΔCt method. Quantification of 16S rRNA was also used to normalize the values all the other genes in the RT-PCR experiment.

Supporting Information

Table S1.

Hfq-dependent genes of Y. pestis as determined by microarray analysis.

https://doi.org/10.1371/journal.pone.0006213.s001

(0.07 MB XLS)

Table S2.

Oligonucleiotide primers used for real-time quantitative RT-PCR.

https://doi.org/10.1371/journal.pone.0006213.s002

(0.05 MB DOC)

Acknowledgments

We are grateful to Jing Wang and Shi Qu for technical assistance in real-time PCR analysis. We also thank the scientific editing service, MedSci, for polishing the English writing of the manuscript.

Author Contributions

Conceived and designed the experiments: JG YS RY YH. Performed the experiments: JG LY Y. Qiu GL JG YB Y. Qu WW XW YH. Analyzed the data: JG YY YH. Contributed reagents/materials/analysis tools: YY Y. Qiu GL ZG. Wrote the paper: JG YS RY YH.

References

  1. 1. Franze de Fernandez MT, Eoyang L, August JT (1968) Factor fraction required for the synthesis of bacteriophage Qbeta-RNA. Nature 219: 588–590.
  2. 2. Valentin-Hansen P, Eriksen M, Udesen C (2004) The bacterial Sm-like protein Hfq: a key player in RNA transactions. Mol Microbiol 51: 1525–1533.
  3. 3. Zhang A, Wassarman KM, Rosenow C, Tjaden BC, Storz G, et al. (2003) Global analysis of small RNA and mRNA targets of Hfq. Mol Microbiol 50: 1111–1124.
  4. 4. Sun X, Zhulin I, Wartell RM (2002) Predicted structure and phyletic distribution of the RNA-binding protein Hfq. Nucleic Acids Res 30: 3662–3671.
  5. 5. Ding Y, Davis BM, Waldor MK (2004) Hfq is essential for Vibrio cholerae virulence and downregulates sigma expression. Mol Microbiol 53: 345–354.
  6. 6. Robertson GT, Roop RM Jr (1999) The Brucella abortus host factor I (HF-I) protein contributes to stress resistance during stationary phase and is a major determinant of virulence in mice. Mol Microbiol 34: 690–700.
  7. 7. Sonnleitner E, Hagens S, Rosenau F, Wilhelm S, Habel A, et al. (2003) Reduced virulence of a hfq mutant of Pseudomonas aeruginosa O1. Microb Pathog 35: 217–228.
  8. 8. Figueroa-Bossi N, Lemire S, Maloriol D, Balbontin R, Casadesus J, et al. (2006) Loss of Hfq activates the sigmaE-dependent envelope stress response in Salmonella enterica. Mol Microbiol 62: 838–852.
  9. 9. Sittka A, Pfeiffer V, Tedin K, Vogel J (2007) The RNA chaperone Hfq is essential for the virulence of Salmonella typhimurium. Mol Microbiol 63: 193–217.
  10. 10. Sharma AK, Payne SM (2006) Induction of expression of hfq by DksA is essential for Shigella flexneri virulence. Mol Microbiol 62: 469–479.
  11. 11. Christiansen JK, Larsen MH, Ingmer H, Sogaard-Andersen L, Kallipolitis BH (2004) The RNA-binding protein Hfq of Listeria monocytogenes: role in stress tolerance and virulence. J Bacteriol 186: 3355–3362.
  12. 12. Kulesus RR, Diaz-Perez K, Slechta ES, Eto DS, Mulvey MA (2008) Impact of the RNA chaperone Hfq on the fitness and virulence potential of uropathogenic Escherichia coli. Infect Immun 76: 3019–3026.
  13. 13. Perry RD, Fetherston JD (1997) Yersinia pestis–etiologic agent of plague. Clin Microbiol Rev 10: 35–66.
  14. 14. Straley SC, Harmon PA (1984) Yersinia pestis grows within phagolysosomes in mouse peritoneal macrophages. Infect Immun 45: 655–659.
  15. 15. Straley SC, Bowmer WS (1986) Virulence genes regulated at the transcriptional level by Ca2+ in Yersinia pestis include structural genes for outer membrane proteins. Infect Immun 51: 445–454.
  16. 16. Monk IR, Casey PG, Cronin M, Gahan CG, Hill C (2008) Development of multiple strain competitive index assays for Listeria monocytogenes using pIMC; a new site-specific integrative vector. BMC Microbiol 8: 96.
  17. 17. Beuzon CR, Holden DW (2001) Use of mixed infections with Salmonella strains to study virulence genes and their interactions in vivo. Microbes Infect 3: 1345–1352.
  18. 18. Han Y, Zhou D, Pang X, Song Y, Zhang L, et al. (2004) Microarray analysis of temperature-induced transcriptome of Yersinia pestis. Microbiol Immunol 48: 791–805.
  19. 19. Motin VL, Georgescu AM, Fitch JP, Gu PP, Nelson DO, et al. (2004) Temporal global changes in gene expression during temperature transition in Yersinia pestis. J Bacteriol 186: 6298–6305.
  20. 20. Charnetzky WT, Shuford WW (1985) Survival and growth of Yersinia pestis within macrophages and an effect of the loss of the 47-megadalton plasmid on growth in macrophages. Infect Immun 47: 234–241.
  21. 21. Han Y, Geng J, Qiu Y, Guo Z, Zhou D, et al. (2008) Physiological and regulatory characterization of KatA and KatY in Yersinia pestis. DNA Cell Biol 27: 453–462.
  22. 22. Kvint K, Nachin L, Diez A, Nystrom T (2003) The bacterial universal stress protein: function and regulation. Curr Opin Microbiol 6: 140–145.
  23. 23. Makoveichuk E, Cherepanov P, Lundberg S, Forsberg A, Olivecrona G (2003) pH6 antigen of Yersinia pestis interacts with plasma lipoproteins and cell membranes. J Lipid Res 44: 320–330.
  24. 24. Zav'yalov VP, Abramov VM, Cherepanov PG, Spirina GV, Chernovskaya TV, et al. (1996) pH 6 antigen (PsaA protein) of Yersinia pestis, a novel bacterial Fc-receptor. FEMS Immunol Med Microbiol 14: 53–57.
  25. 25. Cathelyn JS, Crosby SD, Lathem WW, Goldman WE, Miller VL (2006) RovA, a global regulator of Yersinia pestis, specifically required for bubonic plague. Proc Natl Acad Sci U S A 103: 13514–13519.
  26. 26. Sonnleitner E, Schuster M, Sorger-Domenigg T, Greenberg EP, Blasi U (2006) Hfq-dependent alterations of the transcriptome profile and effects on quorum sensing in Pseudomonas aeruginosa. Mol Microbiol 59: 1542–1558.
  27. 27. Pujol C, Bliska JB (2005) Turning Yersinia pathogenesis outside in: subversion of macrophage function by intracellular yersiniae. Clin Immunol 114: 216–226.
  28. 28. Nakao H, Watanabe H, Nakayama S, Takeda T (1995) yst gene expression in Yersinia enterocolitica is positively regulated by a chromosomal region that is highly homologous to Escherichia coli host factor 1 gene (hfq). Mol Microbiol 18: 859–865.
  29. 29. Nakano M, Takahashi A, Su Z, Harada N, Mawatari K, et al. (2008) Hfq regulates the expression of the thermostable direct hemolysin gene in Vibrio parahaemolyticus. BMC Microbiol 8: 155.
  30. 30. Mitobe J, Morita-Ishihara T, Ishihama A, Watanabe H (2008) Involvement of RNA-binding protein Hfq in the post-transcriptional regulation of invE gene expression in Shigella sonnei. J Biol Chem 283: 5738–5747.
  31. 31. McNealy TL, Forsbach-Birk V, Shi C, Marre R (2005) The Hfq homolog in Legionella pneumophila demonstrates regulation by LetA and RpoS and interacts with the global regulator CsrA. J Bacteriol 187: 1527–1532.
  32. 32. Achtman M, Zurth K, Morelli G, Torrea G, Guiyoule A, et al. (1999) Yersinia pestis, the cause of plague, is a recently emerged clone of Yersinia pseudotuberculosis. Proc Natl Acad Sci U S A 96: 14043–14048.
  33. 33. Sodeinde OA, Subrahmanyam YV, Stark K, Quan T, Bao Y, et al. (1992) A surface protease and the invasive character of plague. Science 258: 1004–1007.
  34. 34. Welkos SL, Friedlander AM, Davis KJ (1997) Studies on the role of plasminogen activator in systemic infection by virulent Yersinia pestis strain C092. Microb Pathog 23: 211–223.
  35. 35. Sebbane F, Jarrett CO, Gardner D, Long D, Hinnebusch BJ (2006) Role of the Yersinia pestis plasminogen activator in the incidence of distinct septicemic and bubonic forms of flea-borne plague. Proc Natl Acad Sci U S A 103: 5526–5530.
  36. 36. Lathem WW, Price PA, Miller VL, Goldman WE (2007) A plasminogen-activating protease specifically controls the development of primary pneumonic plague. Science 315: 509–513.
  37. 37. Du Y, Rosqvist R, Forsberg A (2002) Role of fraction 1 antigen of Yersinia pestis in inhibition of phagocytosis. Infect Immun 70: 1453–1460.
  38. 38. Huang XZ, Lindler LE (2004) The pH 6 antigen is an antiphagocytic factor produced by Yersinia pestis independent of Yersinia outer proteins and capsule antigen. Infect Immun 72: 7212–7219.
  39. 39. Han Y, Zhou D, Pang X, Zhang L, Song Y, et al. (2005) DNA microarray analysis of the heat- and cold-shock stimulons in Yersinia pestis. Microbes Infect 7: 335–348.
  40. 40. Brown L, Elliott T (1996) Efficient translation of the RpoS sigma factor in Salmonella typhimurium requires host factor I, an RNA-binding protein encoded by the hfq gene. J Bacteriol 178: 3763–3770.
  41. 41. Majdalani N, Cunning C, Sledjeski D, Elliott T, Gottesman S (1998) DsrA RNA regulates translation of RpoS message by an anti-antisense mechanism, independent of its action as an antisilencer of transcription. Proc Natl Acad Sci U S A 95: 12462–12467.
  42. 42. Moller T, Franch T, Udesen C, Gerdes K, Valentin-Hansen P (2002) Spot 42 RNA mediates discoordinate expression of the E. coli galactose operon. Genes Dev 16: 1696–1706.
  43. 43. Koleva RI, Austin CA, Kowaleski JM, Neems DS, Wang L, et al. (2006) Interactions of ribosomal protein S1 with DsrA and rpoS mRNA. Biochem Biophys Res Commun 348: 662–668.
  44. 44. Lenz DH, Mok KC, Lilley BN, Kulkarni RV, Wingreen NS, et al. (2004) The small RNA chaperone Hfq and multiple small RNAs control quorum sensing in Vibrio harveyi and Vibrio cholerae. Cell 118: 69–82.
  45. 45. McArthur SD, Pulvermacher SC, Stauffer GV (2006) The Yersinia pestis gcvB gene encodes two small regulatory RNA molecules. BMC Microbiol 6: 52.
  46. 46. Zhou D, Tong Z, Song Y, Han Y, Pei D, et al. (2004) Genetics of metabolic variations between Yersinia pestis biovars and the proposal of a new biovar, microtus. J Bacteriol 186: 5147–5152.
  47. 47. Fan Z, Luo Y, Wang S, Jin L, Zhou X, et al. (1995) Microtus brandti plague in the Xilin Gol Grassland was inoffensive to humans. Chin J Control Endem Dis 10: 56–57.
  48. 48. Pujol C, Bliska JB (2003) The ability to replicate in macrophages is conserved between Yersinia pestis and Yersinia pseudotuberculosis. Infect Immun 71: 5892–5899.
  49. 49. Reed LJ, Muench H (1938) A simple method for estimating fifty percent endpoints. The America Journal of Hygiene 27: 493–497.
  50. 50. Ellermeier CD, Ellermeier JR, Slauch JM (2005) HilD, HilC and RtsA constitute a feed forward loop that controls expression of the SPI1 type three secretion system regulator hilA in Salmonella enterica serovar Typhimurium. Mol Microbiol 57: 691–705.
  51. 51. Tusher VG, Tibshirani R, Chu G (2001) Significance analysis of microarrays applied to the ionizing radiation response. Proc Natl Acad Sci U S A 98: 5116–5121.