ORIGINAL RESEARCH article
RNA Chaperones Hfq and ProQ Play a Key Role in the Virulence of the Plant Pathogenic Bacterium Dickeya dadantii
- Université de Lyon, INSA Lyon, Université Claude Bernard Lyon 1, CNRS, UMR 5240 MAP, Microbiologie, Adaptation, Pathogénie, Villeurbanne, France
Dickeya dadantii is an important pathogenic bacterium that infects a number of crops including potato and chicory. While extensive works have been carried out on the control of the transcription of its genes encoding the main virulence functions, little information is available on the post-transcriptional regulation of these functions. We investigated the involvement of the RNA chaperones Hfq and ProQ in the production of the main D. dadantii virulence functions. Phenotypic assays on the hfq and proQ mutants showed that inactivation of hfq resulted in a growth defect, a modified capacity for biofilm formation and strongly reduced motility, and in the production of degradative extracellular enzymes (proteases, cellulase, and pectate lyases). Accordingly, the hfq mutant failed to cause soft rot on chicory leaves. The proQ mutant had reduced resistance to osmotic stress, reduced extracellular pectate lyase activity compared to the wild-type strain, and reduced virulence on chicory leaves. Most of the phenotypes of the hfq and proQ mutants were related to the low amounts of mRNA of the corresponding virulence factors. Complementation of the double mutant hfq-proQ by each individual protein and cross-complementation of each chaperone suggested that they might exert their effects via partially overlapping but different sets of targets. Overall, it clearly appeared that the two Hfq and ProQ RNA chaperones are important regulators of pathogenicity in D. dadantii. This underscores that virulence genes are regulated post-transcriptionally by non-coding RNAs.
Dickeya dadantii is a Gram-negative phytopathogenic bacterium responsible for soft rot disease in a wide range of plant species including economically important crops (e.g., potato, chicory, sugar beet) and many ornamental plants (Ma et al., 2007). It causes important production losses (Toth et al., 2011).
Virulence mechanisms of D. dadantii have been extensively studied (Ma et al., 2007). The infection process is divided in two distinct phases: (i) an asymptomatic phase when the bacterium penetrates into the host and progresses through intercellular spaces without multiplying substantially; and (ii) a symptomatic phase associated with strongly increased bacterial fitness and multiplication (Fagard et al., 2007). Globally, the four main steps of plant infection by Dickeya are the following: (i) adherence to the plant surface and entry into the plant tissues, via wound sites or through natural openings such as stomata, (ii) colonization of the apoplastic spaces between plant cells, (iii) suppression of the host defense response, and (iv) plant cell wall degradation (through degradative extracellular enzyme production, mainly pectate lyases) resulting in the development of disease symptoms. Each of these disease stages and life-history transitions requires the correct spatio-temporal production of the different adaptive and virulence factors (including those involved in adhesion, motility, stress resistance, and plant cell wall degradation) in response to various signals (changes in cell density, variation in environmental physico-chemical parameters, and host disease reaction) (Reverchon and Nasser, 2013).
To characterize the regulation of this pathogenic process, investigations on D. dadantii have mostly focused on its control by DNA-binding transcription factors (Reverchon and Nasser, 2013; Leonard et al., 2017) with a few additional studies about the regulatory role of chromosome dynamics (Ouafa et al., 2012; Jiang et al., 2015; Meyer et al., 2018). Knowledge of the post-transcriptional regulation of virulence factor production by sRNAs in D. dadantii is still in its infancy.
Post-transcriptional regulation is defined as the control of gene expression at the RNA level and classically occurs through base-pairing interactions between regulatory RNAs (sRNAs) and mRNAs. This base pairing can have positive or negative effects on the stability and/or the translation of the targeted mRNA. These sRNAs can be broadly divided into two categories according to their genomic location: (i) cis-acting antisense sRNAs are transcribed from the opposite strand of their targets and act via extensive base pairing; and (ii) trans-acting sRNAs mostly originate from intergenic regions, display partial sequence complementarities with their mRNA targets and can regulate more than one target. The interactions between sRNAs and their targets are often assisted by specialized RNA-binding proteins called RNA chaperones.
A prominent bacterial RNA chaperone is the Hfq protein which contributes to regulation by trans-acting sRNAs in many bacteria (Updegrove et al., 2016). Hfq was first discovered in Escherichia coli as an essential host factor of the RNA bacteriophage Qbeta. Hfq impacts multiple steps, like changing RNA structure, bringing RNAs into proximity, neutralizing the negative charge of the two pairing RNAs, stimulating the nucleation of the first base pairs as well as facilitating the further annealing of the two RNA strands. While estimates of the number of Hfq vary from ≈20,000 to 60,000 (Kajitani et al., 1994; Ali Azam et al., 1999), it is clear that Hfq is limiting under most conditions (Wagner, 2013).
Other proteins with possible chaperone activity have been reported recently. For example, the monomeric ProQ protein of Salmonella enterica is an RNA-binding protein that interacts with and stabilizes over 50 highly structured antisense and trans-acting sRNAs (Smirnov et al., 2016). The cellular concentration of ProQ was estimated to be 2,000 copies per cell (Sheidy and Zielke, 2013). This protein was originally identified as being important for osmolyte accumulation in E. coli by increasing cellular levels of the proline transporter ProP (Milner and Wood, 1989; Kunte et al., 1999) and was later shown to possess RNA strand exchange and RNA annealing activities (Chaulk et al., 2011). Thus, ProQ was initially described as an RNA chaperone that controls ProP levels in E. coli. In Legionella pneumophila, the ProQ equivalent protein (called RocC) interacts with one trans-acting sRNA to control the expression of genes involved in natural transformation (Attaiech et al., 2016). ProQ belongs to the RNA-binding proteins of the FinO family. FinO has been studied for its role as an RNA chaperone in antisense regulation of F plasmid conjugation in E. coli (Mark Glover et al., 2015). As shown in S. enterica, ProQ seems to recognize stable RNA hairpins such as transcriptional terminators and reading the RNA structure rather than its sequence (Holmqvist et al., 2018).
While several recent studies have addressed a potential role of Hfq in the virulence of phytopathogenic bacteria like Agrobacterium tumefaciens (Wilms et al., 2012), Erwinia amylovora (Zeng et al., 2013), Pantoea ananatis (Shin et al., 2019), Pectobacterium carotovorum (Wang et al., 2018), and Xanthomonas campestris (Lai et al., 2018), nothing is known about the impact of Hfq and ProQ on D. dadantii virulence. Moreover, potential links between ProQ and the virulence of plant-pathogenic bacteria have never been established. To address these questions, we constructed and characterized hfq and proQ mutants. Loss of Hfq or ProQ resulted in drastically reduced virulence. This phenotype was associated with the alteration of several virulence determinants including pectate lyase production, motility, and adhesion. Additionally, analyses of mutants defective in the two proteins suggested that these two RNA chaperones might exert their effects via partially overlapping but different sets of targets.
Materials and Methods
Bacterial Strains, Plasmids and Culture Conditions
The bacterial strains, plasmids, phages and primers used in this study are described in Supplementary Tables 1–3. E. coli and D. dadantii strains were grown at 37 and 30°C, respectively, in Lysogeny broth (LB) medium or in M63 minimal medium (Miller, 1972) supplemented with 0.1 mM CaCl2, 0.2% (w/v) sucrose and 0.25% (w/v) polygalacturonate (PGA, a pectin derivative from Agdia Biofords) as carbon sources. PGA induces the synthesis of pectate lyases, which are the essential virulence factors of D. dadantii. Sucrose has been chosen because it is one of the major sugars in the apoplast (Lohaus et al., 2001). When required, the media were supplemented with antibiotics at the following concentrations: ampicillin (Amp) 100 μg/mL, chloramphenicol (Cm) 20 μg/mL, kanamycin (Kan) 50 μg/mL. The media were solidified with 1.5 % (w/v) Difco agar. Liquid cultures were grown in a shaking incubator (220 r.p.m.). Bacterial growth in liquid medium was estimated by measuring turbidity at 600 nm (OD600) spectrophotometer Prim’ Light Secomam to determine growth rates.
Gene Knockout and Complementation of the Hfq- and ProQ-Encoding Genes in D. dadantii
The hfq gene was inactivated by introducing a uidA-Kan cassette into the unique BsrGI restriction site present in its open reading frame. The uidA-Kan cassette (Bardonnet and Blanco, 1992) includes a promoterless uidA gene that conserves its Shine Dalgarno sequence.
To create a △proQ::Cm mutant, segments located 500 bp upstream and 500 bp downstream of proQ were amplified by PCR using primer pairs P1-P2 and P3-P4 (Supplementary Table 3). Primers P2 and P3 included a unique restriction site for BglII and were designed to have a short 20-bp overlap of complementary sequences. The two separate PCR fragments were attached together by overlap extension polymerase chain reaction using primers P1 and P4. The resulting △proQ-BglII PCR product was cloned into a pGEMT plasmid to create plasmid pGEM-T-ΔproQ-BglII. The Cm resistance cassette from plasmid pKD3 (Datsenko and Wanner, 2000) was inserted into the unique BglII site of pGEM-T-ΔproQ-BglII to generate pGEM-T-ΔproQ::Cm (Supplementary Table 2).
We took care to select cassettes without transcription termination signals in order to avoid polar effects on downstream genes for both insertions. The insertions were introduced into the D. dadantii chromosome by marker exchange recombination between the chromosomal allele and the plasmid-borne mutated allele. The recombinants were selected after successive cultures in low phosphate medium in the presence of the suitable antibiotic because pGEMT (which is a pBR322 derivative) is very unstable in these conditions (Roeder and Collmer, 1985). Correct recombination was confirmed by PCR. Mutations were transduced into a clean D. dadantii 3937 genetic background using phage ΦEC2 (Supplementary Table 1; Resibois et al., 1984).
For complementation of the hfq and proQ mutations, the promoter and coding sequences of the proQ and hfq genes were amplified from D. dadantii 3937 genomic DNA using primers P5/P6 and P7/P8, respectively (Supplementary Table 3). The forward primers (P5 and P7) included a unique restriction site for NheI, and the reverse primers (P6 and P8) included a unique restriction site for HindIII. After digestion with NheI and HindIII, each PCR fragment was ligated into pBBR1-mcs4 previously digested by NheI and HindIII to generate pBBR1-mcs4::hfq and pBBR1-mcs4::proQ, respectively (Supplementary Table 2). Correct constructions were confirmed by sequencing.
Agar Plate Detection Tests for Pectate Lyase, Cellulase, Protease and Other Enzyme Assays
Protease activity was detected on medium containing skim milk (12.5 g L–1). Cellulase activity was detected on carboxymethylcellulose agar plates with the Congo red staining procedure (Teather and Wood, 1982). Pectate lyases were assayed on toluenized cell extracts. Pectate lyase activity was measured by recording the degradation of PGA into unsaturated products that absorb at 230 nm (Moran et al., 1968). Specific activity was expressed as nmol of unsaturated products liberated per min per mg of bacterial dry weight, given that an OD600 of 1 corresponded to 109 bacteria.mL–1 and to 0.47 mg of bacterial dry weight.mL–1.
Stress Resistance Assays
Stress resistance assays were performed as previously described (Duprey et al., 2019). Bacteria were cultured at 30°C in 96-well plates using M63S (M63 + 0.2% w/v sucrose), pH 7.0, as minimal medium. Bacterial growth (OD600) was monitored for 48 h using an Infinite® 200 PRO – Tecan instrument. Resistance to osmotic stress was analyzed using M63S enriched in 0.05 to 0.5 M NaCl. Resistance to oxidative stress was analyzed in the same medium by adding H2O2 concentrations ranging from 25 to 200 μM. The pH effect was analyzed using the same M63S medium buffered with malic acid at different pH values ranging from 3.7 to 7.0.
Biofilm formation was quantified using the microtiter plate static biofilm model. Bacteria were grown for 48 h at 30°C in 24-well plates in M63 medium supplemented with glycerol as the carbon source. Then, the supernatant was removed, and the biofilm was washed once with 1 mL of M63 medium and resuspended in 1 mL of the same medium. The percentage of adherence was then calculated as the ratio of the number of cells in the biofilm over the total number of cells, i.e., biofilm cells over planktonic cells. The amount of planktonic cells was estimated by measuring the optical density at 600 nm of the supernatant and the washing buffer. The amount of cells in the biofilm was estimated by measuring the OD600 of the biofilm resuspended in M63.
Motility and Chemotaxis Assays
For the proQ mutant, motility assays were performed on semi-solid LB agar plates. An overnight bacterial culture was prepared as described above, and then inoculated in the center of each of eight Petri dishes with a sterile toothpick. For motility experiments, 0.3 % agar plates were used. Halo sizes were examined after incubation at 30°C for 24 h. Motility indexes were calculated as the ratios of the mutant halo size over the wild type (WT) halo size.
For the hfq mutant, motility assays were performed in competition (to avoid the influence of bacterial growth), as previously described (Ashby et al., 1988). Briefly, 10 mL of bacteria in their exponential growth phase were washed twice in sodium-free buffer and then concentrated in 3 mL. Capillary assays were performed in competition in an equal 1:1 ratio. Suspension dilutions of chemotaxis assays were spotted onto LB agar medium supplemented when necessary, with antibiotics to select strains harboring plasmid or cassette. Different bacterial populations were thus enumerated on LB agar plates allowing the growth of both wild-type cells and hfq::uidA-Kan mutants and LB agar plates containing kanamycin allowing the growth of hfq::uidA-Kan mutants only. Motility indexes were calculated as the ratios of the number of hfq::uidA-Kan mutants over the number of wild-type cells. The number of wild-type cells was estimated by subtracting the number of growing cells on LB agar plates containing kanamycin (hfq mutants) from the number of growing cells on LB agar plates containing kanamycin (wild-type and hfq mutant).
Virulence assays were performed on wounded chicory leaves by depositing a drop of inoculum as previously described (Dellagi et al., 2005). Briefly, chicory leaves were wounded with a 2 cm incision using a sterile scalpel, inoculated with 5 106 bacteria and incubated at 30°C in a dew chamber at 100% relative humidity. Disease severity was determined 18 and 48 h after inoculation by collecting and weighing the macerated tissues. The bacteria were estimated by measuring turbidity at 600 nm (OD600 = 1 corresponds to 109 bacteria/mL–1).
Quantitative RT-PCR Analyses
Gene expression analyses were performed using qRT-PCR. Total RNAs were extracted and purified from cultures grown to the late exponential phase (OD600 = 0.8) as previously described (Maes and Messens, 1992; Hommais et al., 2008). Reverse transcription and quantitative PCR were performed using the REvertAid First Strand cDNA synthesis kit and the Maxima SYBR Green/ROX qPCR Master Mix (Thermo Scientific) with an LC480 Lightcycler (Roche). Primer specificity was verified by melting curve analysis. qPCR primers are listed in Supplementary Table 4.
Data Representation and Statistical Analysis
Boxplot representations were generated using R software (R Core Team, 2020) and the beeswarm package (Eklund, 2016). Statistical analysis was performed using Wilcoxon Mann-Whitney tests, and differences were considered significant when the P value < 0.05.
Analysis of D. dadantii Hfq and ProQ Protein Sequences and Their Genomic Contexts
Escherichia coli and Dickeya dadantii Hfq proteins displayed 83% identity. The highest identity level was in the N-terminal region (amino acids 1–74), which forms the core of the protein and contains its RNA-binding sites (Link et al., 2009). Most of the amino acids involved in RNA interactions were conserved except E18, which was K18 in D. dadantii (Supplementary Figure 1). D. dadantii ProQ was 68% identical with E. coli ProQ, with also high identity in the N-terminal FinO domain of ProQ, which is the primary determinant of its RNA-binding capacity (Chaulk et al., 2011; Gonzalez et al., 2017). In particular, the regions spanning residues 1–10 and 92–105, shown to interact with RNA, were highly conserved (Gonzalez et al., 2017). All the residues involved in the formation of a basic patch on the protein surface (R32, R69, R80, R100, K101, K107, and R114) – an important structure for interaction with RNAs – were conserved (Supplementary Figure 1).
The hfq and proQ genes are embedded in the same chromosomal context in D. dadantii as in other bacteria such as E. coli or S. enterica (Supplementary Figure 2). The hfq gene is part of the well conserved amiB-mutL-miaA-hfq-hflXKC cluster (Tsui and Winkler, 1994), while proQ is localized between yebR and prc. Inspection of the transcriptomes of D. dadantii under various physiological conditions (Reverchon et al., 2021) showed that transcription of hfq could be driven by (i) a promoter upstream of mutL, (ii) a promoter inside mutL and upstream of miaA, or (iii) two promoters inside miaA and upstream of hfq (Supplementary Figure 2). Considering the expression level of mutL-miaA-hfq genes, it appears that hfq was largely transcribed from the two promoters inside miaA and rarely co-transcribed with miaA. The downstream genes showed similar expression profiles and did not exhibit any promoter activity downstream of hfq, suggesting that they may be co-transcribed with hfq in the same way as in E. coli (RegulonDB1). Two promoters were found upstream of the proQ gene (one between proQ and yebR and one upstream of yebR) (Supplementary Figure 2B). Regarding the difference in read coverage obtained from RNA-seq experiments, yebR and proQ seemed to be largely transcribed separately (Supplementary Figure 2B). On the contrary, prc and proQ had similar coverage, and no transcription start site was found between them, supporting co-transcription similarly to what is observed in E. coli (RegulonDB, see text footnote 1). The polycistronic organization and promoters for both hfq and proQ were confirmed by direct RNA sequencing using the nanopore technology (R. Forquet, personal communication).
Phenotypic Characterization of the hfq and proQ Mutants
We first analyzed the growth characteristics of the hfq and proQ mutants. The WT, hfq and proQ strains were grown in LB rich medium and in M63 minimal medium supplemented with sucrose as the sole carbon source. Sucrose was chosen because it is one of the major sugars of the apoplast (Lohaus et al., 2001). While the proQ mutant and the WT grew similarly in both media, the hfq mutant exhibited delayed growth. However, in rich medium both the WT strain and hfq mutant reached the same optical density after being grown for 26 h (Figure 1A). In minimal medium with sucrose as the sole carbon source, the hfq mutant grew much more slowly than the WT, and reached the stationary phase at a lower optical density (Figure 1B). The growth defect of the hfq mutant was fully restored by complementation with plasmid pBBR-mcs4::hfq (Figure 1), indicating that the hfq::uidA-Kan insertion had no polar effects on downstream hflXKC genes. In contrast, transformation of the proQ mutant and WT strains with the pBBR-mcs4::proQ plasmid expressing proQ led to a lower growth rate, especially in minimal medium (Figure 1D). The two strains grew similarly in the absence of the pBBR-mcs4::proQ plasmid. This suggests that slight ProQ overexpression compromises growth irrespective of the genetic background. These data demonstrate that hfq mutation retards cellular growth, while proQ mutation does not. The effect was more pronounced in minimal medium compared to rich medium, suggesting that Hfq plays a more important role in the ability of D. dadantii to grow under conditions of nutrient limitation. A similar growth defect of hfq mutants has been observed in other bacteria such as P. carotovorum (Wang et al., 2018), A. tumefaciens (Wilms et al., 2012), X. campestris (Lai et al., 2018), P. ananatis (Shin et al., 2019) or E. amylovora (Zeng et al., 2013).
Figure 1. Growth of the wild type, mutant and complemented strains in LB rich medium (A,C) and M63 minimal medium supplemented with sucrose (B,D). Overnight bacterial precultures were diluted to an OD600 of 0.03 in the same growth medium. OD600 measurements of the culture were made at regular intervals to determine growth rates. The experiment was repeated three times. The graph shows curves from one representative experiment. Error bars represent deviation of biological replicates.
Dickeya encounter various stresses during their pathogenic growth, so we assessed the stress resistance of the hfq and proQ mutants (Supplementary Figure 3). They both showed behaviors similar to the WT strain regarding pH and H2O2 stress resistance, but displayed a higher sensitivity to osmotic stress than the WT strain did. The hfq mutant displayed a 50% growth rate reduction on 0.4 M NaCl, while the WT strain was only slightly affected (20% growth rate reduction). This effect was even more pronounced at 0.5 M NaCl, with a growth rate reduction of 90% for hfq compared to 60% for the WT. The proQ mutant did not grow at 0.3 M NaCl and at higher NaCl concentrations (Supplementary Figure 3). Complementation experiments revealed that expression of hfq or proQ from an episome (plasmid pBBR-mcs4::hfq and pBBR1-mcs4::proQ) fully restored the osmotic resistance of the two mutants to the WT level (Supplementary Figure 3). We inferred that the two chaperones are involved in providing resistance to osmotic stress. Overall, this result is consistent but not identical with previous studies showing that Hfq and ProQ contribute to stress tolerance, including nutrient deprivation, osmotic stress and oxidative stress in Salmonella and E. coli (Chaulk et al., 2011; Smirnov et al., 2017).
Hfq and ProQ Are Required for Full Virulence of Dickeya dadantii
The virulence of the hfq and proQ mutants was tested on chicory leaves. The hfq mutant was severely impaired in virulence, and soft rot symptoms were drastically reduced (Figure 2A). Disease symptoms were observed following inoculation with the proQ mutant and the WT strain, but they were less severe in the proQ background. Quantitative results obtained by measuring the weight of macerated tissues showed a significant difference between the disease symptoms induced by each strain (p-value = 1.5e-3) (Figures 2B,C). As observed previously, the virulence defect of the hfq mutant was more severe than that of the proQ mutant, in as far as the hfq mutant did not exhibit any macerated tissue (p-value = 5.7e-4). Consequently, we did not weigh any macerated tissue in the hfq mutant. The soft rot symptoms caused by the hfq and proQ mutants did not increase over longer incubation times (48 h). The lower virulence of hfq and proQ was therefore not solely related to retarded cellular growth. Complementation experiments revealed that expression of hfq from an episome (plasmid pBBR-mcs4::hfq) fully restored the impaired virulence of the hfq mutant (Figure 2B). Likewise, expression of proQ from an episome (plasmid pBBR-mcs4::proQ) restored the impaired virulence of the proQ mutant (Figure 2B).
Figure 2. Impact of Hfq and ProQ on D. dadantii virulence. Representative examples of symptoms induced by the wild type and mutant strains and weights of macerated tissues following infection by the hfq (A) and proQ mutants (B), the wild type strain and the respective complemented strains. Data were normalized based on the weights of macerated tissues from the wild-type strain. Chicory leaf assays were performed as described in the Materials and methods section with an incubation time of 18 h, and weights of macerated tissues were measured. The experiments were repeated three times with ten leaves tested in each replicate. Non-capital letters a and b are presented above the boxplots. Groups with the same letter are not detectably different (are in the same set) and groups that are detectably different get different letters (different sets). Note that if the groups have the same letter, this does not mean they are the same, just that there is no evidence of a difference for that pair (P < 0.05, Wilcoxon Mann-Whitney test).
Thus, the hfq and proQ genes are required for efficient pathogenic growth since both mutants were clearly impaired in initiating maceration and inducing soft rot symptoms, albeit to different extents.
Production of Late Virulence Factors, Pectate Lyase, Protease and Cellulase, Is Abolished in the hfq Mutant and Reduced in the proQ Mutant
Dickeya dadantii is known to use several essential virulence factors that collectively contribute to its ability to cause disease. These factors include production of cell-wall-degrading enzymes like pectate lyases, proteases and cellulase, which are responsible for soft rot symptoms. To clarify whether Hfq and ProQ have any influence on the production of key virulence factors, we compared enzyme activity in hfq and proQ mutant extracts with WT strain extracts (Figure 3A). Pectate lyase activity was abolished in the hfq mutant (p-value = 2.4e-7). This defect in pectate lyase activity was not a consequence of the growth defect of the hfq mutant since activities were normalized to cell density. Also, the levels of pectate lyase activity were significantly reduced in the proQ mutant compared to the WT (p-value = 2.0e-9) (Figure 3A). Reduced cellulase and protease activities were also observed on carboxymethylcellulose and skim milk agar plates for each mutant (Figure 3B). Complementation experiments showed that the impaired production of cell-wall-degrading enzymes was restored in hfq and proQ mutant cells transformed with the pBBR-mcs4::hfq and pBBR-mcs4::proQ plasmids, respectively (Figure 3). Therefore, the impaired pathogenicity of D. dadantii due to hfq and proQ mutations is linked with reduced production of late virulence factors in these mutant strains.
Figure 3. Impact of Hfq and ProQ on cell-wall-degrading enzymes. (A) Pectate lyase activity in the wild type, mutant and complemented strains, expressed as percent of wild type strain specific activity. Experiments were repeated at least three times. Non-capital letters a, b, c, and d are presented above the boxplots. Groups with the same letter are not detectably different (are in the same set) and groups that are detectably different get different letters (different sets). Note that if the groups have the same letter, this does not mean they are the same, just that there is no evidence of a difference for that pair (P < 0.05, Wilcoxon Mann-Whitney test). (B) Protease production on medium containing skim milk, and cellulase production on carboxymethylcellulose agar plate with Congo red staining in the hfq and proQ mutants, the complemented strains and the wild type strain.
Early Virulence Determinants Such as Biofilm Production and Motility Are Also Impaired in the hfq and proQ Mutants
At the initial stage of infection, D. dadantii must adhere to the plant surface and enter into the apoplast. D. dadantii produces cellulose fibrils, which enable it to develop aggregates on the plant surface (Jahn et al., 2011; Prigent-Combaret et al., 2012). These aggregates are embedded in an extracellular polymeric substance (EPS) that maintains a hydrated surface around the bacteria and thus helps them to survive under conditions of desiccation (Condemine et al., 1999). Motility and chemotaxis are essential for D. dadantii when searching for favorable sites to enter into the plant apoplast. Therefore, we evaluated the consequences of the hfq or proQ mutations on motility and biofilm formation. The ability of the hfq and proQ mutants to swim was analyzed using capillary and soft agar assays, respectively. Incubation time during the capillary assays was short, so that we were able to overlook the impact of the growth defect between the hfq mutant and the WT strain. Soft agar assays were performed to test the motility of the proQ mutant, since similar growth rates were obtained for the proQ mutant and the WT strain. A motility index was calculated for both experiments (Figure 4A). It was equal to the motility of the mutant strain (number of cells in the capillary or size of the halo) divided by that of the WT strain. Both hfq and proQ showed reduced motility compared to the WT (−38 and −22%, respectively) and strains complemented with the respective inactivated gene expressed from an episome restored the ability to swim (90 and 98%, respectively). This reduced cell motility is in agreement with the behavior of hfq mutants of most pathogenic bacteria (Chao and Vogel, 2010; Vogel and Luisi, 2011; Sobrero and Valverde, 2012; Wagner, 2013; Updegrove et al., 2016).
Figure 4. Impact of Hfq and ProQ on motility and biofilm formation. (A) Motility indexes of the hfq and proQ mutants. Motility experiments were performed in capillary assays for the hfq mutant and in soft agar plates for the proQ mutant. The motility index was equal to the motility results of the mutant strain (number of cells in the capillary or halo size) divided by the results of the WT strain. (B,C) Impact of the hfq and proQ mutations on biofilm formation. Assays were carried out in multi-well plates. Data were normalized relative to the adherence of the wild-type strain. The effect of heterologous complementation is also showed. Quantification of the cells present in the aggregates and in the planktonic fractions for the different strains. Experiments were repeated at least three times. Non-capital letters a, b, and c are presented above the boxplots. Groups with the same letter are not detectably different (are in the same set) and groups that are detectably different get different letters (different sets). Note that if the groups have the same letter, this does not mean they are the same, just that there is no evidence of a difference for that pair (P < 0.05, Wilcoxon Mann-Whitney test).
Flagellar motility negatively affects biofilm formation. Consequently, we monitored the consequences of the hfq or proQ mutations on the attachment of D. dadantii to the plastic coating of the microtiter plate well. From a metabolic point of view, biofilm formation reflects the trade-off between motility and exopolysaccharide (EPS) production. This trade-off was clearly unbalanced in favor of EPS production in the hfq mutant (p-value = 7.4e-7) and less severely so in the proQ mutant (p-value = 3.8e-2) (Figures 4B,C). Complementation experiments demonstrated that hfq expressed from an episome did not significantly reduce the increased biofilm forming capacity of the hfq mutant (Figure 4B). In contrast, overexpression of proQ from the episome slightly decreased the biofilm formation capacity of the proQ mutant and WT strain compared to the proQ mutant and to the WT strain without complementation (Figure 4C). These data suggest that the two RNA chaperones play different roles in D. dadantii biofilm formation.
Transcripts of Late Virulence Factors and Early Virulence Determinants Are Impaired in the hfq and proQ Mutants
Hfq and ProQ act post-transcriptionally, so we evaluated the mRNA amounts of various virulence genes in the hfq and proQ mutants by qRT-PCR. For genes mostly involved in the early stage of infection, we selected fliC which encodes flagellin, rhlA whose product is involved in the synthesis of a biosurfactant for swarming motility, and bcsA which encodes a protein involved in the production of cellulose fibrils important for adherence. Concerning late virulence genes, we retained pelD and pelE that encode pectate lyases, prtB and prtC that encode metalloproteases, celZ that encodes a cellulase, outC that encodes a compound of the type II secretion system which secretes pectinases and cellulase, kdgK that encodes the KDG kinase involved in the catabolism of polygalacturonate, and hrpN that encodes harpin which elicits the hypersensitive response. In line with the observed phenotypes, the RNA amounts of most genes were reduced in both mutants, much more drastically so in the hfq mutant than in the proQ mutant (Figure 5). The greater adherence of the hfq mutant was also correlated with the higher bcsA RNA amounts compared to the WT (increased by three-fold). However, celZ RNA amounts were similar in the hfq mutant and in the WT. Therefore, the reduced cellulase activity was not dependent on the celZ RNA amount but it could be partially due to reduced cellulase secretion because the outC RNA amount was low in the hfq mutant (decreased by 70%), or to decreased CelZ translation. In the proQ mutant, the amount of celZ and outC transcripts were slightly reduced (around 40%). Taken together, these results indicate that most of the observed phenotypes were correlated to a decrease in the mRNA amounts from virulence genes.
Figure 5. RNA amounts in the hfq and proQ mutant strains. Gene expression levels relative to the WT strain were evaluated in the two mutants by RT-qPCR. (A) Genes encoding late virulence factors or associated with late virulence factors; (B) Genes encoding early virulence factors such as adherence and motility factors; (C) Expression levels of hfq and proQ were measured in the different mutants. Non-capital letters a, b, and c are presented above the histograms. Groups with the same letter are not detectably different (are in the same set) and groups that are detectably different get different letters (different sets). Groups can have more than one letter to reflect “overlap” between the sets of groups. Note that if the groups have the same letter, this does not mean they are the same, just that there is no evidence of a difference for that pair (P < 0.05, t-test).
The Effects of RNA Chaperones on Virulence Partially Overlap
The absence of Hfq or ProQ impaired virulence and modified the production of similar virulence factors. Consequently, we evaluated the behavior of a mutant inactivated for both hfq and proQ and assessed whether hfq and proQ could restore virulence in the double mutant. The virulence of the hfq proQ double mutant and mutant complemented by either hfq or proQ was tested on chicory leaves. The mutants were asymptomatic whatever the complementation 24 h post-infection, except the mutant proQ, that caused reduced soft rot symptoms as noticed earlier (Figure 2). However, 48 h post-infection, the proQ gene inserted in the hfq proQ mutant produced a weight of macerated tissues similar to the weight observed with the hfq mutant, whereas hfq complementation of the double mutant only slightly restored soft rot symptoms (Figure 6). Complementation by proQ did not restored virulence while complementation by hfq partially restored symptom.
Figure 6. D. dadantii virulence assays 48 h post-infection. Virulence was evaluated on the single mutants, the double mutant, and the double mutant complemented by Hfq or ProQ. Chicory leaf assays were performed as described in the “Materials and Methods” section with an incubation time of 48 h. Representative examples of symptoms induced were shown and the weights of macerated tissues were measured. Experiments were repeated three times with at least seven leaves tested in each replicate. Non-capital letters a, b, and c are presented above the boxplots. Groups with the same letter are not detectably different (are in the same set) and groups that are detectably different get different letters (different sets). Note that if the groups have the same letter, this does not mean they are the same, just that there is no evidence of a difference for that pair (P < 0.05, Wilcoxon Mann-Whitney test).
Late and early virulence factors were also impaired in the double mutant, as expected. Compared to the hfq mutant, the double mutant showed a similar, perhaps higher reduction of protease, cellulase and pectinase activities (Figure 7A). Motility was also reduced, and adherence was increased compared to the WT (Figures 8A,C). In line with these phenotypes, the expression levels of the corresponding genes were modified: prtC, pelD and fliC RNA amounts decreased by at least five folds in the double mutant, and hrpN, celZ and outC RNA amounts decreased by about two folds (Figures 7B, 8 and Supplementary Figure 4). Overall, the expression levels of outC, pelD, bcsA, and fliC were similar in the double mutant and in the hfq mutant, whereas the expression levels of prtC celZ and hrpN decreased more than in the hfq mutant (Figures 7B, 8B and Supplementary Figure 4).
Figure 7. Impact of the double mutant on late virulence factors. (A) Protease production on medium containing skim milk, cellulase production on carboxymethylcellulose agar plates with Congo red staining, and pectate lyase activity expressed as percent of wild type strain specific activity were evaluated in the double mutant and in the double mutant complemented by Hfq or ProQ. Experiments were repeated at least three times. Non-capital letters a, b, c, and d are presented above the boxplots and histograms. Groups with the same letter are not detectably different (are in the same set) and groups that are detectably different get different letters (different sets). Groups can have more than one letter to reflect “overlap” between the sets of groups. Note that if the groups have the same letter, this does not mean they are the same, just that there is no evidence of a difference for that pair (P < 0.05, Wilcoxon Mann-Whitney test). (B) expression levels of prtC, celZ, pelD, and outC measured by RT-qPCR in the double mutant and double mutant complemented by Hfq or ProQ. Expression levels were compared with those measured in the WT strain.
Figure 8. Impact of the double mutant on early virulence factors. Phenotypes and expression levels were analyzed in the double mutant strain and the double mutant strain complemented by Hfq or ProQ. (A) Motility was evaluated on semi-solid LB agar plates; (B,D) Expression levels of genes were measured by RT-qPCR and compared with the wild type; (C) Adherence was evaluated and compared with the wild-type strain. Experiments were repeated at least three times. Non-capital letters a, b, c, and d are presented above the boxplots and histograms. Groups with the same letter are not detectably different (are in the same set) and groups that are detectably different get different letters (different sets). Groups can have more than one letter to reflect “overlap” between the sets of groups. Note that if the groups have the same letter, this does not mean they are the same, just that there is no evidence of a difference for that pair (P < 0.05, Wilcoxon Mann-Whitney test).
The protease, pectinase and motility phenotypes were restored by complementation with Hfq. Accordingly, prtC, pelD, and fliC RNA amounts increased significantly in the double mutant strain complemented by Hfq (Figures 7B, 8B). However, the cellulase phenotype was not complemented by the addition of Hfq, even if the expression level of celZ was restored to a level similar to those measured in the WT or the hfq mutant (Figure 7). The adherence phenotype and the expression level of bcsA were not complemented by an hfq gene expressed from a plasmid (Figure 8). ProQ complementation restored protease, cellulase and pectinase activities and adherence, but not motility. In accordance, the expression level of fliC was similar to the levels in the double mutant (Figure 8B), but the expression levels of bcsA, prtC, celZ, and hrpN increased in the complemented strain compared to the non-complemented double mutant (Figures 7, 8 and Supplementary Figure 4). Interestingly, the expression levels of genes outC and pelD were unexpectedly similar to those observed in the double mutant although phenotypes were restored.
We measured the expression levels of hfq and proQ in the different mutants. As expected, hfq and proQ expression was not detected in the respective mutant strains or in the double mutant, but a three-fold increase was observed for the gene expressed from the plasmid. proQ expression level increased in the strains defective in Hfq production, i.e., 3.5 fold in the single hfq mutant and around 12 fold in the double mutant complemented by proQ. These results can be explained by an additive effect of the hfq mutation and of proQ overexpression from the plasmid (Figure 1 and Supplementary Figure 4).
Overall, virulence assays, phenotypes and expression level measurements suggest that the two RNA chaperones Hfq and ProQ exert their effects via partially overlapping but different sets of targets (Figure 9).
Figure 9. Overview of phenotypes and variation of expression levels associated with the inactivation of proQ and hfq. Dash indicates equivalent phenotype (or expression level), up arrow indicates an increase in phenotype (or expression level) and down arrow indicates a decrease in phenotype (or expression level). The double mutant, single mutants and complemented single mutants were compared to the behavior of the wild-type strain whereas double mutant complemented with proQ or hfq were compared to the behavior of the double mutant without any complementation. Expected behavior is indicated in blue, unexpected behavior is indicated in red. ND: Not determined.
We investigated the influence of the two RNA chaperones Hfq and ProQ on the virulence of the bacterial plant pathogen D. dadantii. Inactivation of the genes encoding these two chaperones led to lower production of cell-degrading enzymes acting as major virulence factors during D. dadantii pathogenic growth, and accordingly lower pathogenicity. Furthermore, both mutations altered osmotic stress tolerance and cell motility. However, the same mutations elicited different effects on cell growth and biofilm formation. Phenotypes were mostly correlated with altered expression of genes encoding virulence factors (hrpN, outC, pelD, pelE prtC, prtB), motility components (fliC and rhlA) and adherence components (bcsA), except celZ expression in the hfq mutant (Figure 9). Expression levels generally decreased less following inactivation of proQ than following inactivation of hfq, but both RNA chaperones affected similar virulence factors. So far, the involvement of ProQ in virulence has been only reported in Salmonella where it regulates motility directly by downregulating fliC mRNA and represses or activates the expression of virulence genes (genes localized in SPI and SPII, respectively). Accordingly, infection by a Salmonella proQ mutant resulted in a decreased invasion rate in eukaryotic cells (Westermann et al., 2019). The present study reports for the first time the involvement of ProQ in the virulence of a plant-pathogenic bacterium. The expression level of proQ does not seem to be significantly modified during the infection (Pédron et al., 2018). In D. dadantii, major virulence genes (pel, prt and cel) were repressed by ProQ, but contrary to what has been observed in Salmonella, the amount of fliC mRNA decreased in the proQ mutant. Differences in proQ mutant behavior according to species were also highlighted by comparing mutant strains in E. coli and D. dadantii: the proQ mutant displayed impaired biofilm formation in E. coli, whereas it displayed increased adherence in D. dadantii (Sheidy and Zielke, 2013). Overall, this illustrates the species specificities of the ProQ regulatory networks, as previously described (Attaiech et al., 2016; Smirnov et al., 2016; Holmqvist et al., 2018; Westermann et al., 2019). Specificities could be a consequence of a rather distinct sRNA landscape produced by these bacterial species, where only small numbers of sRNA homologs overlap (Leonard et al., 2019). In contrast to ProQ, Hfq proteins have already been reported to significantly reduce virulence in several plant-pathogenic bacteria like A. tumefaciens, E. amylovora, P. ananatis, X. campestris, and P. carotovorum. However, the role of Hfq still remains only partially understood (Wilms et al., 2012; Zeng et al., 2013; Zeng and Sundin, 2014; Lai et al., 2018; Wang et al., 2018; Shin et al., 2019). Additionally, D. dadantii strain defective of hfq has been shown to present a decreased fitness in planta (Royet et al., 2019). The phenotypes of the D. dadantii hfq mutant are similar to those of the P. carotovorum hfq mutant: hfq-defective strains present a decreased growth rate, low cellulase, protease and pectinase production, and altered biofilm formation and motility. Hfq should regulate directly or indirectly these functions post-transcriptionally using sRNAs. In D. dadantii, a recent study highlighted a feed-forward signaling circuit involving Hfq protein which post-transcriptionally regulates RsmB involved in the down-regulation of cell-degrading enzymes and type 3 secretion system (Yuan et al., 2019).
One interesting feature highlighted by this study is the interplay between the two RNA chaperones. The mitigated virulence of the double mutant was only slightly complemented by Hfq or ProQ, so we evaluated the ability of Hfq and ProQ to cross-complement each other regarding mitigation of virulence. ProQ partially complemented the hfq mutant, whereas episomal hfq did not complement the proQ mutant (Supplementary Figure 5). Overall, these results indicate that these two RNA chaperones might exert their effects via partially overlapping but different sets of targets. Although first reports indicate that the RNAs bound by ProQ generally differ from those bound by Hfq, recent studies have demonstrated an unexpected overlap of the sets of Hfq and ProQ targets in Salmonella and E. coli, with 30% of overlapping interactions (Westermann et al., 2019; Melamed et al., 2020). In line with these results, we identified potential ProQ-specific targets such as celZ, but also overlapping targets – the fliC, bcsA, pel, and prt genes. Nonetheless, the expression of the target genes was more highly impacted in the double mutant than in each single mutant, indicating putative additive effects of the two proteins. Additionally, analyses of the expression levels of these target genes in the double mutant complemented by each protein highlighted 3 classes of genes: (i) hrpN-like genes, whose expression level is restored by Hfq or ProQ, (ii) genes whose expression levels are restored at least partially only by Hfq (e.g., fliC, prtC, outC and pelE), and (iii) genes whose expression levels are partially restored only by ProQ (e.g., bcsA) (Figure 9). Although further studies aimed at identifying the direct targets of Hfq and ProQ in D. dadantii by in vivo crosslinking will clarify whether the virulence functions governed by ProQ represent a subset of those governed by Hfq, these data reinforce the assumption that the two proteins could have independent competing or complementary roles. ProQ and Hfq could be involved in different regulatory cascades, with branches converging at identical targets. Alternatively, both proteins could interact with the same mRNA. The site of interaction would not necessarily be identical: ProQ recognizes its targets in a sequence-independent manner, through RNA structural motifs found in sRNAs and internal to the coding sequence region or at the 3′ end of mRNAs (Holmqvist et al., 2018); whereas Hfq interacts with nascent transcripts in the 5′-UTR of the target RNA (Kambara et al., 2018). However, the two proteins could outcompete each other at a given terminator since they both have the propensity to bind intrinsic terminators of RNAs (Holmqvist et al., 2016).
Finally, it is noteworthy that an increased level of proQ was measured in the hfq mutant and in the double mutant complemented by proQ. This is of importance because the impact of ProQ on growth and biofilm production is shown to be highly dependent on the amount of ProQ protein produced in the cells. Here, we showed a correlation between a decrease in growth rate and a increase in the amount of proQ and the absence of hfq. Furthermore, the decrease level of proQ increases with the inactivation of hfq. Finally, the growth defect of the double mutant is complemented by hfq but not by proQ. At this point, we can only speculate, but these observations suggest that in addition to the overlapping, complementary, competing or even additive roles of these two RNA chaperones, Hfq could indirectly or directly regulate ProQ production. Further analyses of the complex regulatory network of Hfq and ProQ should take this possible regulation into account.
Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.
FH and SR contributed to the conception and design of the study. SL performed experiments and the statistical analysis. CV performed the experiments. FH wrote the draft of manuscript. SR and WN contributed to manuscript revision. All authors read and approved the submitted version.
This work was supported by a grant from the FR BioEnviS. SL received a doctoral grant from the French Ministère de l’Education nationale de l’Enseignement Supérieur, de la Recherche et de l’innovation.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The authors thank Carlos Blanco for providing the hfq mutant, Pauline Héritier for helpful technical assistance and Georgi Muskhelishvili for helpful discussion. The authors also thank Annie Buchwalter for her careful correction of English language.
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2021.687484/full#supplementary-material
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Keywords: Dickeya dadantii 3937, ProQ, Hfq, virulence, non-coding RNA (ncRNA)
Citation: Leonard S, Villard C, Nasser W, Reverchon S and Hommais F (2021) RNA Chaperones Hfq and ProQ Play a Key Role in the Virulence of the Plant Pathogenic Bacterium Dickeya dadantii. Front. Microbiol. 12:687484. doi: 10.3389/fmicb.2021.687484
Received: 29 March 2021; Accepted: 31 May 2021;
Published: 24 June 2021.
Edited by:Daniela De Biase, Sapienza University of Rome, Italy
Reviewed by:Lucy N. Moleleki, University of Pretoria, South Africa
Sébastien Bontemps-Gallo, Institut Pasteur de Lille, France
Marta Potrykus, Medical University of Gdańsk, Poland
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