Abstract
The nonpathogenic soil saprophyte Burkholderia thailandensis is a member of the Burkholderia pseudomallei-thailandensis-mallei (Bptm) group, which also comprises the closely related human pathogens Burkholderia pseudomallei and Burkholderia mallei responsible for the diseases melioidosis and glanders, respectively. ScmR, a recently identified LysR-type transcriptional regulator (LTTR) in B. thailandensis acts as a global transcriptional regulator throughout the stationary phase, and modulates the production of a wide range of secondary metabolites, including N-acyl-L-homoserine lactones (AHLs) and 4-hydroxy-3-methyl-2-alkylquinoline (HMAQ), virulence in the model host Caenorhabditis elegans, as well as several quorum sensing (QS)-dependent phenotypes. We have investigated the role of ScmR in B. thailandensis strain E264 during the exponential phase. We used RNA-Sequencing (RNA-Seq) transcriptomic analyses to identify the ScmR regulon, which was compared to the QS-controlled regulon, showing a considerable overlap between the ScmR-regulated genes and those controlled by QS. We characterized several genes modulated by ScmR, using quantitative reverse transcription-PCR (qRT-PCR) or mini-CTX-lux transcriptional reporters, including the oxalate biosynthetic gene obc1 required for pH homeostasis, the orphan LuxR-type transcriptional regulator BtaR5-encoding gene, the bsa (Burkholderia secretion apparatus) type III secretion system (T3SS) genes essential for both B. pseudomallei and B. mallei pathogenicity, as well as the scmR gene itself. We confirmed that the transcription of scmR is under QS control, presumably ensuring fine-tuned modulation of gene expression. Finally, we demonstrate that ScmR influences virulence using the fruit fly model host Drosophila melanogaster. We conclude that ScmR represents a central component of the B. thailandensis QS regulatory network.
Importance Coordination of the expression of genes associated with bacterial virulence and environmental adaptation is often dependent on quorum sensing (QS). The QS circuitry of the nonpathogenic bacterium Burkholderia thailandensis, which is widely used as a model system for the study of the human pathogen Burkholderia pseudomallei, is complex. We found that the recently identified LysR-type transcriptional regulator (LTTR), ScmR, which is highly conserved and involved in the control of virulence/survival factors in the Burkholderia genus, is a global regulator mediating gene expression through the multiple QS systems coexisting in B. thailandensis, as well as independently of QS. We conclude that ScmR represents a key QS modulatory network element, ensuring tight regulation of the transcription of QS-controlled genes, particularly those required for acclimatization to the environment.
Introduction
Quorum sensing (QS) is a global regulatory mechanism of gene expression depending on bacterial density (1). Gram-negative bacteria often possess homologues of the LuxI/LuxR system initially characterized in the bioluminescent marine bacterium Vibrio fischeri (2). The signaling molecules N-acyl-L-homoserine lactones (AHLs), which are typically produced by LuxI-type synthases, accumulate in the environment as bacterial growth progresses until a threshold concentration is reached allowing bacteria to synchronize their activities and to function as multicellular communities. These AHLs activate LuxR-type transcriptional regulators that modulate the transcription of QS target genes, which contain a lux box sequence in their promoter region (3).
Burkholderia thailandensis is a nonpathogenic soil saprophyte belonging to the Burkholderia-pseudomallei-thailandensis-mallei (Bptm) group, which also comprises the closely related pathogens Burkholderia pseudomallei and Burkholderia mallei responsible for melioidosis and glanders, respectively (4). B. thailandensis is considered the avirulent version of B. pseudomallei (5), and is thus commonly used as a surrogate model for the study of B. pseudomallei, which is considered a potential bioterrorism agent and whose manipulation is consequently restricted to biosafety level 3 (BSL3) laboratories (6). The members of the Bptm group carry multiple LuxI/LuxR QS systems that are associated with the biosynthesis of numerous AHL signaling molecules (4, 7–9). These QS systems are referred to as the BtaI1/BtaR1 (QS-1), BtaI2/BtaR2 (QS-2), and BtaI3/BtaR3 (QS-3) QS systems in B. thailandensis (10, 11). The QS-1 system is composed of the BtaR1 transcriptional regulator and the BtaI1 synthase, which synthesizes N-octanoyl-L-homoserine lactone (C8-HSL) (12, 13). The BtaR2 transcriptional regulator and the BtaI2 synthase that catalyze the biosynthesis of both N-3-hydroxy-decanoyl-L-homoserine lactone (3OHC10-HSL) and N-3-hydroxy-octanoyl-L-homoserine lactone (3OHC8-HSL) constitute the QS-2 system (12, 14). The QS-3 system is composed of the BtaR3 transcriptional regulator and the BtaI3 synthase is also responsible for 3OHC8-HSL production (12, 13). Furthermore, B. thailandensis, B. pseudomallei, and B. mallei carry orphan luxR homologues, namely, btaR4 (malR) and btaR5 in B. thailandensis (15, 16).
QS is involved in the regulation of several virulence factors in B. pseudomallei and B. mallei, and is essential to their full capacity to cause infections (7, 8, 17, 18). Other QS-controlled phenotypic traits among the Bptm group members have been reported, such as colony morphology, the development of biofilm, self-aggregation, motility, pH homeostasis, as well as production of secondary metabolites (9, 10, 13, 14, 16, 18–25).
A LysR-type transcriptional regulator (LTTR) involved in secondary metabolism regulation, hence designated ScmR, was recently identified in the Bptm group members (26). LTTRs are part of a large family and display a well conserved structure with a N-terminal DNA-binding helix-turn-helix motif and a C-terminal cofactor-binding domain (27). LTTRs are typically negatively autoregulated and frequently positively modulate expression of adjacent genes (27). Nevertheless, LTTRs were also described as global regulators acting positively or negatively (27). Mao et al. (26) demonstrated that ScmR constitutes a global regulator of gene expression in B. thailandensis and influences the production of a wide range of secondary metabolites, including AHLs and the putative 4-hydroxy-3-methyl-2-alkylquinoline (HMAQ) signaling molecules, virulence in the nematode worm model Caenorhabditis elegans, as well as several QS-dependent phenotypes. Additionally, expression of the scmR gene is under QS control (10, 26).
The central goal of the present study was to further characterize the molecular mechanism of action of the B. thailandensis E264 ScmR transcriptional regulator. We found that ScmR is a global regulator mediating gene expression through the QS-1, QS-2, and/or QS-3 systems, as well as independently of QS. Furthermore, we identified novel genes modulated by ScmR, including the oxalate biosynthetic gene obc1 that is essential for pH homeostasis in the Burkholderia genus, the orphan LuxR-type transcriptional regulator BtaR5-encoding gene, and the bsa (Burkholderia secretion apparatus) type III secretion system (TTSS) genes required for both B. pseudomallei and B. mallei pathogenicity. Moreover, we showed that scmR is negatively autoregulated, and we confirmed that its transcription is QS-controlled, ensuring tight regulation of gene expression by ScmR in B. thailandensis. Finally, we demonstrate that ScmR represses virulence using the fruit fly model Drosophila melanogaster. All in all, this study contributes to a better appreciation of the ScmR regulatory mechanism of the expression of genes in B. thailandensis, and in particular those related to virulence of B. pseudomallei.
Results
The ScmR regulon comprises many QS-controlled genes
ScmR was recently described as a global transcriptional regulator impacting gene expression during the stationary phase of bacterial growth in B. thailandensis (26). We used RNA-Seq transcriptomic analyses to further characterize the regulon of the ScmR transcriptional regulator. We identified the ScmR-regulated genes by comparing the transcripts in the wild-type and in the scmR-mutant strains of B. thailandensis E264 throughout the logarithmic growth phase. We found that ScmR both positively and negatively influence the expression of genes located on the two B. thailandensis E264 chromosomes (Fig. 1A). Using a 3-fold difference in transcription as a cut-off, we identified 907 genes that were positively modulated by ScmR, and 397 genes that were negatively modulated by ScmR (Fig. 1A). These findings confirm that ScmR constitutes a global regulator of gene expression in B. thailandensis E264 (26). Our RNA-Seq analyses identified genes known to be controlled by ScmR or genes encoding functions known to be controlled by ScmR. Indeed, Mao et al. (26) recently demonstrated that ScmR stimulates the production of HMAQ, which includes putative signals. RNA-Seq confirmed that expression of the hmqABCDEFG operon, which is required for HMAQs production (28), is activated by ScmR (Table S1). Furthermore, ScmR represses the production of burkholdac, a hybrid polyketide/nonribosomal peptide and a potent inhibitor of some histone deacetylases (HDACs) (26). Consistently, expression of the bhc gene cluster, responsible for burkholdac biosynthesis (29), was increased in the scmR-mutant compared to the wild-type strain (Table S1). Moreover, we observed that ATP synthesis and stress response genes were downregulated in the absence of ScmR (Table S1), as recently reported (26). Finally, RNA-Seq showed that transcription of the putative exopolysaccharide (EPS) genes bceABCDEFGHIJ and bceNOPRSTU is affected by ScmR (Table S1). This is in agreement with the finding that ScmR influences colony morphology, as well as pellicle and biofilm formation of B. thailandensis E264 (26).
The ScmR transcriptional regulator was shown to influence the biosynthesis of C8-HSL, 3OHC10-HSL, and 3OHC8-HSL (26), the main AHLs produced by B. thailandensis E264 (10, 11, 13, 14). Therefore, we assumed that ScmR could intervene in the regulation of gene expression, inter alia, by impacting the QS-1, QS-2, and/or QS-3 systems of B. thailandensis E264. Indeed, Mao et al. (26) demonstrated that QS-dependent phenotypes, including colony morphology, as well as the development of biofilm, are influenced by ScmR and we accordingly found several previously reported QS-controlled genes in the ScmR regulon (Table S1). Consequently, we also compared the transcripts in the wild-type strain of B. thailandensis E264 and in the AHL-defective ΔbtaI1ΔbtaI2ΔbtaI3 mutant under the same growth conditions to identify the genes specifically modulated by ScmR independently of its effect on QS. Our RNA-Seq analyses indicate that QS positively regulated expression of 1088 genes and negatively modulated expression of 547 genes on both chromosomes of B. thailandensis E264 (Fig. 1B). Importantly, we confirmed the involvement of QS in the regulation of genes affected by AHLs or genes encoding functions affected by AHLs. In B. thailandensis, QS stimulates contact-dependent growth inhibition (CDI) (10, 30), and we indeed observed that the transcription of the CDI genes was decreased in the absence of AHLs (Table S1). Furthermore, RNA-Seq indicated that the transcription of the bactobolin biosynthetic genes (14), as well as the obc1 gene expression, encoding the oxalate biosynthetic enzyme Obc1 that is essential to pH homeostasis (19), are activated by QS (Table S1), as previously reported (10). Moreover, RNA-Seq confirmed that expression of both flagellar genes and methyl-accepting chemotaxis protein genes was upregulated in the ΔbtaI1ΔbtaI2ΔbtaI3 mutant in comparison with the wild-type strain (10) (Table S1), which is consistent with the observation that B. thailandensis E264 QS mutants are hypermotile (13).
Interestingly, we found a considerable overlap between the genes regulated by ScmR and those QS-controlled (Table S2). We identified 681 genes activated by both ScmR and QS (Fig. 2A), whereas 310 genes were repressed by both ScmR and QS (Fig. 2B). Other patterns of coregulation were observed including positive regulation by ScmR and negative regulation by QS (Fig. 2C), as well as negative regulation by ScmR and positive regulation by QS (Fig. 2D). While we identified 1019 genes that were coregulated by both ScmR and QS, 901 genes appeared to be independently regulated by either ScmR or QS under the conditions of our experiments (Fig. 2). Altogether, these results support the idea that ScmR regulates the transcription of many genes through modulation of the QS-1, QS-2 and/or QS-3 systems in B. thailandensis E264. Additionally, we found that ScmR affected the expression of genes encoding transcriptional factors, including the QS-controlled orphan transcriptional regulator BtaR5-encoding gene (Table S2). Thus, many genes could be modulated by ScmR indirectly through auxiliary regulators, as recently proposed (26).
ScmR modulates AHLs biosynthesis but not the transcription of the AHL synthase-coding genes
The influence of ScmR on C8-HSL, 3OHC10-HSL, and 3OHC8-HSL production was demonstrated throughout the stationary phase of growth (26), but its effect on QS during the logarithmic phase had not been investigated yet. To determine whether the biosynthesis of the main AHLs produced by B. thailandensis E264 was impacted by ScmR in the exponential phase, we compared the concentrations of these AHLs in the wild-type strain of B. thailandensis E264 and in the scmR-mutant. We confirmed that the levels of C8-HSL were decreased in the absence of ScmR (Fig. 3A), as previously reported (26), suggesting that ScmR is an activator on the QS-1 system. In contrast to stationary phase observations (26), however, we detected increasing concentrations of 3OHC10-HSL and 3OHC8-HSL in the scmR-mutant versus the wild-type strain under our conditions (Figs. 3B and C), indicating that the QS-2 and/or QS-3 system might be repressed by ScmR.
ScmR stimulates the production of C8-HSL, 3OHC10-HSL, and 3OHC8-HSL during the stationary phase, but the expression of the BtaI1-, BtaI2-, and BtaI3-encoding genes responsible for the production of these AHLs, nor the transcription of btaR1, btaR2, and btaR3 were downregulated in an ΔscmR mutant in comparison with the wild-type (26). To gain insights into the ScmR-dependent modulation of C8-HSL, 3OHC10-HSL, and 3OHC8-HSL biosynthesis, we determined the expression profiles of the AHL synthase-coding genes btaI1, btaI2, and btaI3 throughout the bacterial growth phases in cultures of the scmR-mutant versus the B. thailandensis E264 wild-type strain harboring a chromosomal btaI1-lux, btaI2-lux, or btaI3-lux transcriptional fusion. No discernible difference in expression from the btaI1, btaI2, and btaI3 promoters was found in the scmR-mutant compared to the wild-type strain (data not shown). Accordingly, our RNA-Seq analyses indicated that ScmR had no impact on btaI1, btaI2, and btaI3 transcription (Table S1). The btaR1, btaR2, and btaR3 genes, encoding the BtaR1, BtaR2, and BtaR3 transcriptional regulators, respectively, were not affected by ScmR neither (Table S1). Taken together, these data confirm that the effect of ScmR on C8-HSL, 3OHC10-HSL, and 3OHC8-HSL biosynthesis does not result from modulation of expression of the QS-1, QS-2, and/or QS-3 system genes.
ScmR contributes to pH homeostasis
Interestingly, we noticed growth differences between the B. thailandensis E264 wild-type strain and the scmR-mutant under the conditions of our experiments. Indeed, inactivation of scmR results in reduced OD600 during the stationary phase, but not during the exponential phase (Fig. 4). Since pH was reported to significantly affect the growth of B. thailandensis E264, B. pseudomallei Bp82, and Burkholderia glumae BGR1 (19, 31), we hypothesized that it could be involved in the scmR- mutant phenotype. We analyzed the implication of ScmR in pH homeostasis by measuring the pH in cultures of the B. thailandensis E264 wild-type strain and the scmR-mutant throughout the different stages of the bacterial growth. pH in cultures of both the wild-type strain and the scmR-mutant was approximately 7.3 during the exponential phase (Fig. 5A). On the other hand, pH in wild-type strain cultures decreased to between 7.0 and 6.5 throughout the stationary phase, whereas pH in scmR-mutant cultures increased to between 7.5 and 8.0, apparently correlating with the OD600 stabilization (Figs. 5B and C). To verify whether growth inhibition could be caused by alkaline toxicity, we buffered cultures of the scmR-mutant with 100 mM HEPES (pH 7.0) and observed that the effect on the OD600 was alleviated (Figs. 4 and 5), supporting the hypothesis that culture medium alkalization is the cause of the scmR-mutant growth differences.
To further characterize the underlying regulatory mechanisms directing pH homeostasis through ScmR, we investigated the effect of ScmR on expression of the obc1 gene, encoding the oxalate biosynthetic enzyme Obc1, which influences the pH in several Burkholderia spp. (19, 31). Oxalic acid was indeed reported to be essential to neutralize alkalization in stationary-phase cultures of the wild-type strain of B. thailandensis E264, B. pseudomallei Bp82, and B. glumae BGR1 (19, 31). Expression of obc1, as well as oxalic acid production, were both shown to be QS-controlled (10, 19). Our RNA-Seq analyses indicate that obc1 transcription was downregulated in the AHL-defective ΔbtaI1ΔbtaI2ΔbtaI3 mutant in comparison with the wild-type strain (approximately 35-fold) (Table S2), confirming that QS activates the obc1 gene expression. Furthermore, we noticed a drastic reduction in transcription of obc1 in the scmR-mutant compared to the wild-type strain (approximately 72-fold) (Table S2), revealing that the transcription of obc1 is also strongly enhanced by ScmR. To ascertain the involvement of ScmR in the regulation of the obc1 gene, expression of obc1 was assessed by qRT-PCR in cultures of the B. thailandensis E264 wild-type strain and the scmR-mutant buffered or not with HEPES during the logarithmic growth phase. We observed that the transcription of obc1 was completely abolished in the absence of ScmR (Fig. 6A), attesting that expression of obc1 is tightly controlled by ScmR. Moreover, the finding that obc1 expression is stimulated by ScmR under neutral conditions confirms previous observations that alkaline stress does not induce obc1 transcription (10, 19). All in all, these findings suggest that ScmR intervenes in pH homeostasis by regulating oxalic acid biosynthesis.
Considering the impact of the absence of ScmR on pH, we hypothesized that some of the regulatory effects observed in our RNA-Seq analyses could result from pH imbalance. Consequently, we measured the transcription of several genes that were affected in the scmR-mutant strain in comparison with the wild-type strain of B. thailandensis E264, namely, BTH_I3204, bsaN, BTH_II0639, btaR5, and BTH_II1209 encoding a lipoprotein, the T3SS transcriptional regulator BsaN, a lipase, the orphan LuxR-type transcriptional regulator BtaR5, and a hypothetical protein, respectively. Their expression was monitored by qRT-PCR during the exponential phase in cultures of the B. thailandensis E264 wild-type and the scmR-mutant strains supplemented or not with HEPES. According to our transcriptomic data, expression of the BTH_I3204 and bsaN genes is repressed by ScmR (approximately 26-fold and 17-fold, respectively), whereas expression of the BTH_II0639, btaR5, and BTH_II1209 genes is stimulated by ScmR (approximately 16-fold, 27-fold, and 274-fold, respectively) (Table S1). We observed that buffering scmR- mutant cultures did not restore normal expression of any of these genes to wild-type levels, showing that the effects observed on these genes in the scmR- mutant does not result from culture medium alkalization.
pH affects the integrity of AHL signaling molecules. AHLs are stable at neutral and acidic pH, while alkaline conditions cause AHLs hydrolysis (32, 33). Therefore, we asked whether ScmR could influence C8-HSL, 3OHC10-HSL, and 3OHC8-HSL stability by impacting pH homeostasis. Concentrations of C8-HSL, 3OHC10-HSL, and 3OHC8-HSL were monitored in the B. thailandensis E264 wild-type strain and the scmR-mutant throughout the different stages of bacterial growth. We confirmed that the levels of C8-HSL were reduced in the scmR-mutant in comparison with the wild-type strain in the early stages of the bacterial growth (Fig. 7A), whereas 3OHC10-HSL and 3OHC8-HSL concentrations were increased (Figs. 7B and C). As expected, the concentrations of all three AHLs were decreased in the scmR-mutant cultures in the late stages of bacterial growth (Fig. 7). We then examined the effect of pH buffering on AHLs levels in scmR-mutant cultures. The production of all three AHLs was increased in buffered cultures of the scmR-mutant (Fig. 7). Taken together, these observations indicate that the impact of ScmR on the QS-1, QS-2, and/or QS-3 systems might result, inter alia, from its influence on pH homeostasis.
QS regulation of scmR gene
Transcription of the scmR gene is activated by QS (10, 26). It was established that all three AHLs stimulate scmR expression (10). Accordingly, our RNA-Seq analyses indicate that scmR transcription is diminished in the AHL-null ΔbtaI1ΔbtaI2ΔbtaI3 mutant compared to the wild-type strain (approximately 4-fold) (Table S1), confirming that expression of scmR is positively modulated by QS. However, respective influence of the BtaR1, BtaR2, and BtaR3 regulators on scmR expression was not investigated (10). To gain insights into the QS-dependent modulation of the scmR gene, we measured its transcription in the ΔbtaR1, ΔbtaR2, and ΔbtaR3 mutants versus the B. thailandensis E264 wild-type strain during the logarithmic growth phase. While no obvious change in scmR transcription was visible in the absence of the BtaR2 transcriptional regulator, expression of scmR was decreased in both the ΔbtaR1 and ΔbtaR3 mutants (Fig. 8). Collectively, these observations indicate that the transcription of scmR is stimulated by the QS-1 and QS-3 systems, whereas the QS-2 system is not apparently involved in the modulation of scmR expression.
While a putative lux box sequence was found in the promoter region of the B. thailandensis E264 scmR gene (26), we do not know whether the BtaR1 and/or BtaR3 transcriptional regulators directly control its transcription. We found a putative lux box sequence in the promoter region of scmR homologs in both B. pseudomallei K96243 and B. mallei ATCC 23344 (Fig. S1). Accordingly, Klaus et al. (34) and Majerczyk et al. (20) demonstrated that the expression of scmR in B. pseudomallei Bp82 and B. mallei GB8 is stimulated by QS, respectively. Burkholderia cenocepacia J2315 also possesses an scmR homologue, which was shown to be QS-controlled in B. cenocepacia K56-2 (35), but no putative lux box sequence was found in its promoter region (36). Altogether, these observations suggest that the QS-dependent regulation of the scmR gene is conserved among Burkholderia spp.
Since scmR is directly adjacent to its downstream gene, namely, ldhA, encoding a putative lactate dehydrogenase, on the genome of B. thailandensis E264, B. pseudomallei K96243, B. mallei ATCC 2344, and B. cenocepacia J2315, and transcribed in the same direction (Fig. S2A), we asked whether they could be cotranscribed. The scmR gene is indeed predicted to be arranged in operon with ldhA (http://www.burkholderia.com/), and we observed that ldhA transcription is also activated by QS (Table S2). However, both our transcriptomic data (Fig. S2B) and RT-PCR experiments (Fig. S2C) indicate that scmR is not cotranscribed with ldhA.
Interestingly, expression of ldhA was decreased in the scmR-mutant compared to the wild-type strain (Table S2), highlighting that the ldhA gene is positively modulated by ScmR as well. Of note, the reduction in expression of ldhA was substantially greater in the scmR-mutant (approximately 17-fold) than in the ΔbtaI1ΔbtaI2ΔbtaI3 mutant (approximately 3-fold) (Table S2), suggesting that QS might activate ldhA transcription indirectly via positive regulation of the scmR gene.
Since LdhA was hypothesized to influence pH homeostasis in B. thailandensis E264 (26), we tested its involvement in the ScmR-dependent control of pH homeostasis by measuring the pH in cultures of the B. thailandensis E264 wild-type strain and the scmR- and ldhA-mutants during the stationary phase of growth. While the pH in both the wild-type strain and the ldhA-mutant was between 6.5 and 7.0, pH in cultures of the scmR- mutant was approximately 9.0 (Fig. S3A), showing that LdhA does not affect pH in B. thailandensis E264 under the conditions of our experiments. Of note, inactivation of the ldhA gene was not associated with a change in OD600 (Figs. S3B and S3C). Altogether, these observations indicate that LdhA is not likely involved in the ScmR-dependent control of pH homeostasis in B. thailandensis E264.
scmR is negatively autoregulated
As LTTRs are typically negatively autoregulated (27), we investigated the impact of ScmR on its own transcription. Considering that the use of an scmR-mutant to perform our RNA-Seq analyses precludes clear assessment, we measured expression of scmR in the B. thailandensis E264 wild-type strain and its scmR-mutant strain harboring a chromosomal scmR-lux transcriptional fusion. We observed an increase in scmR expression in the scmR-mutant in comparison with the wild-type strain (Fig. 9), revealing that scmR is negatively autoregulated.
A heterologous host E. coli expression reporter system was developed to examine the possibility of direct interaction of ScmR with the promoter region of the scmR gene. E. coli DH5α recombinant strains were generated containing the chromosomal scmR-lux transcriptional reporter and either pMLS7 or pMLS7-scmR for constitutive expression of the ScmR transcriptional regulator. In this systems, ScmR did not repress scmR transcription (data not shown), suggesting that ScmR does not directly repress its own expression or that additional unknown factor(s), which might be absent in the E. coli background, are required for scmR negative autoregulation. Indeed, LTTRs generally function in association with ligands to modulate the expression of genes (27).
ScmR represses virulence in the fruit fly model D. melanogaster
The cytotoxin malleilactone was reported to contribute to virulence of both B. thailandensis E264 and B. pseudomallei Bp82 (15, 34). Interestingly, a ΔscmR mutant of B. thailandensis E264, which overproduces malleilactone, is more virulent toward the C. elegans nematode model host in comparison with the wild-type strain (26). Accordingly, we found that our scmR-mutant was significantly more virulent than the wild-type strain using the D. melanogaster host model (P < 0.001) (Fig. 10). However, according to our transcriptomic data and in contrast to Mao et al. (26) observations, ScmR had no impact on the transcription of the mal gene cluster (malleilactone biosynthesis) (15, 16), or on the expression of the orphan LuxR-type transcriptional regulator BtaR4 (MalR) which activates mal genes, indicating that ScmR might not regulate malleilactone production under our conditions (data not shown). Hence, the ScmR-dependent regulation of pathogenicity in B. thailandensis E264 is not exclusively mediated through control of the biosynthesis of malleilactone.
Discussion
The function of the ScmR transcriptional regulator was recently addressed in B. thailandensis, revealing its importance in secondary metabolism regulation, as well as its involvement in the modulation of several QS-controlled phenotypes (26). While Mao et al. (26) defined the ScmR regulon during the stationary phase, we established the impact of ScmR on the expression of genes during the logarithmic phase of growth. It must be emphasized that the growth stage is an important variable when investigating QS, and this is especially relevant for B. thailandensis, a bacterium for which we reported significant differences in QS regulation depending on the growth stage (11). We confirmed that ScmR is a global regulator of gene expression in B. thailandensis E264 (Fig. 1A). Mao et al. (26) highlighted that ScmR modulates the production of the main AHL signaling molecules found in this bacterium, namely, C8-HSL, 3OHC10-HSL, and 3OHC8-HSL and we confirmed that AHLs biosynthesis is affected by ScmR as well (Fig. 3), which hints that ScmR might control the transcription of many genes through its effect on the QS-1, QS-2, and/or QS-3 systems. This is also further supported by the finding that ScmR modulates QS-controlled phenotypic traits, such as colony morphology, as well as pellicle and biofilm formation (26). Consistently, we noticed a considerable overlap between the ScmR-regulated genes and those controlled by QS (Fig. 2). Furthermore, we attested that the scmR gene is regulated by QS (Fig. 8), showing that ScmR is deeply integrated into the QS modulatory network of B. thailandensis E264. We assume that the QS-dependent regulation of scmR transcription allows tightly controlled coordination of the expression of genes.
Interestingly, we found that expression of many genes that encode transcriptional regulators, including the orphan QS transcriptional regulator BtaR5-encoding gene (Fig. 6E), is modulated either positively or negatively by ScmR (Table S1). Consequently, we propose that ScmR controls many genes through different and not mutually exclusive mechanisms: i.e. (i) regulation of AHL signaling molecules biosynthesis, (ii) direct binding of target genes, and (iii) indirect modulation of some genes via intermediate regulators. It will therefore be important to further investigate the molecular mechanism of action of ScmR to decipher between the directly and the indirectly ScmR-regulated genes. Moreover, the characterization of an ScmR-binding motif would contribute to the identification of promoters that are directly modulated versus those that are indirectly modulated.
The production of oxalic acid, which is required for pH homeostasis, is under QS control in several Burkholderia spp. (19, 31). Our RNA-Seq analyses confirmed the implication of AHLs in the regulation of expression of the oxalate biosynthetic gene obc1, and we showed that the transcription of obc1 is stringently modulated by ScmR as well (Fig. 6A). Furthermore, we noticed that the impact of ScmR on obc1 expression was more pronounced than the effect of AHLs (Table S2), suggesting that QS activates obc1 transcription indirectly via positive regulation of the scmR gene. Whether the ScmR-dependent control of the obc1 gene is direct or not remains to be determined. It is also possible that the ScmR-mediated control of the homeostasis of pH is not exclusively dependent on regulation of oxalate production. We indeed observed that several genes involved in ATP synthesis are modulated by ScmR (Table S1), as formerly noticed (26). Additionally, our RNA-Seq analyses revealed that ScmR stimulates expression of the putative lactate dehydrogenase LdhA-encoding gene, which is directly adjacent to scmR, and transcribed in the same direction in several Burkholderia spp. (26, 37) (Fig. S2A). Because lactate dehydrogenase, by reducing pyruvate to lactate, was suggested to affect pH (26), ScmR could also intervene in pH homeostasis through the activation of ldhA transcription. Indeed, Silva et al. (37) demonstrated that the Burkholderia multivorans ATCC 17616 homologue, called LdhR, influences pH homeostasis by activating both expression of the ldhA gene and lactate production. Still, we noticed no difference in pH between cultures of the B. thailandensis E264 wild-type strain and the ldhA-mutant (Fig. 3A), suggesting that LdhA is not involved in the ScmR-dependent control of pH homeostasis in B. thailandensis E264. Other discrepancies between the B. thailandensis E264 ScmR and the B. multivorans ATCC 17616 LdhR homologues were reported, such as their negative and positive effects on the development of biofilm, respectively (37). These findings indicate that these two proteins could be functionally different. More experiments will therefore be necessary to further understand the precise underlying molecular mechanism of action of ScmR in the control of pH homeostasis in B. thailandensis.
Since AHLs are hydrolyzed rapidly under alkaline pH conditions (32, 33), we propose that the impact of ScmR on the production of C8-HSL, 3OHC10-HSL, and 3OHC8-HSL might result, inter alia, from its influence on pH homeostasis (Fig. 7), This would then explain why no visible change in expression from the btaI1, btaI2, and btaI3 promoters was observed in the scmR-mutant compared to the wild-type strain (data not shown). However, the ScmR-dependent regulation of the QS-1, QS-2, and/or QS-3 systems might be more complex and will need further investigation.
In agreement with the fact that LTTRs are typically negatively autoregulated (27), we found that ScmR represses its own expression (Fig. 9). Still, we saw no direct effect of the ScmR transcriptional regulator on the promoter region of the scmR gene when co-expressed together in a heterologous host. An explanation could be that scmR negative autoregulation requires additional modulatory elements, including molecular ligands. Indeed, ligands are recognized as being crucial for the function of LTTRs (27). They frequently participate to a self-inducing loop in which a product or an intermediate product of a given metabolic/synthesis pathway that is commonly stimulated by an LTTR acts as the ligand required for transcriptional regulation (27). Therefore, it will be important to determine the putative ligand(s) of ScmR in order to uncover the precise regulatory mechanism underlying scmR negative autoregulation.
While the pathogenicity of B. multivorans ATCC 17616 in the Galleria mellonella larvae model of infection is apparently not regulated by the ScmR homologue LdhR (37), the loss of ScmR in both B. thailandensis E264 and B. pseudomallei Bp82 resulted in hypervirulence toward the model host C. elegans (26, 34). In addition, Melanson et al. (38) demonstrated that the rice pathogen B. glumae 336gr-1 ScmR homologue, called NtpR, is a negative regulator of toxoflavin production, which is considered the primary virulence factor of B. glumae, suggesting that similarly to the B. thailandensis E264 and B. pseudomallei Bp82 ScmR homologues, NtpR influences virulence. In B. thailandensis and B. pseudomallei, ScmR was proposed to modulate the infection process by repressing the biosynthesis of malleilactone (26, 34). We demonstrated that ScmR of B. thailandensis E264 contributes to pathogenicity using the D. melanogaster host model (Fig. 10). However, we observed no difference in the transcription of the mal gene cluster, which encodes the principal enzymes responsible for malleilactone biosynthesis (15, 34), between the B. thailandensis E264 wild-type and the scmR-mutant strains, suggesting that ScmR is not necessarily involved in the production of the cytotoxin malleilactone. Any negative effect of ScmR on malleilactone biosynthesis in vivo is currently unknown. Still, we do not exclude the possibility that ScmR reduces virulence by modulating the expression of additional virulence/survival factors. For instance, we highlighted that expression of the bsa T3SS genes, which are crucial for the pathogenicity of both B. pseudomallei and B. mallei (39, 40), is repressed by ScmR (Table S1). The involvement of other potential virulence factors in the ScmR-mediated control of pathogenicity in B. thailandensis is currently under investigation.
Materials and methods
Bacterial strains and culture conditions
The bacterial strains used in this study are listed in Table S3. Unless otherwise stated, all bacteria were cultured at 37°C in tryptic soy broth (TSB; BD Difco, Mississauga, Ontario, Canada), with shaking (240 rpm) in a TC-7 roller drum (New Brunswick, Canada), or on Petri dishes containing TSB solidified with 1.5% agar. When required, antibiotics were used at the following concentrations: 200 μg/mL tetracycline (Tc), 100 μg/mL kanamycin (Km), and 100 μg/mL trimethoprim (Tp) for B. thailandensis E264, while Tc was used at 15 μg/mL for E. coli DH5α. All measurements of optical density at 600 nm (OD600) were acquired with a Thermo Fisher Scientific NanoDrop ND-1000 spectrophotometer.
Construction of plasmids
Plasmids used in this study are described in Table S4. Amplification of the promoter region of scmR was performed from genomic DNA from B. thailandensis E264 using the appropriate primers (Table S5). The amplified product was digested with the FastDigest restriction enzymes XhoI and BamHI (Thermo Fisher Scientific) and inserted by T4 DNA ligase (Bio Basic, Inc., Markham, ON, Canada) within the corresponding restriction sites in the mini-CTX-lux plasmid (41), generating the transcriptional reporter pSLG01. All primers were from Alpha DNA (Montreal, Quebec, Canada).
Construction of reporter strains
Chromosomal integration of the mini-CTX-scmR-lux transcriptional reporter at the attB locus in B. thailandensis E264 strains was performed through conjugation with the auxotrophic E. coli χ7213, as described previously (12). Successful chromosomal insertion of scmR-lux was confirmed by PCR using appropriate primers.
RNA isolation
Total RNA of B. thailandensis E264 cultures at an OD600 of 4.0 was extracted with the PureZOL RNA isolation reagent (Bio-Rad Laboratories, Mississauga, ON, Canada) and treated twice with the TURBO DNA-Free kit (Ambion Life Technologies, Inc., Burlington, ON, Canada) according to the manufacturer’s instructions. Extractions were done on two different bacterial cultures for RNA-Sequencing (RNA-Seq) analysis and on three different bacterial cultures for quantitative reverse transcription-PCR (qRT-PCR) and reverse transcription-PCR (RT-PCR) experiments. Quality and purity controls were confirmed by agarose gel electrophoresis and UV spectrophotometric analysis, respectively. Quantification of total RNA was accomplished on a Corbett Life Science Rotor-Gene 6000 thermal cycler using the QuantiFluor RNA system (Promega, Madison, WI, USA), according to the manufacturer’s protocol.
RNA-Seq libraries construction and sequencing
The RNA-Seq libraries construction and sequencing using an Illumina HiSeq 2000 PE100 were performed by the McGill University and Génome Québec Innovation Centre (Montreal, QC, Canada). The RNA-Seq libraries were prepared using the TruSeq stranded mRNA sample preparation kit (Illumina, Inc., San Diego, CA, USA) and the Ribo-Zero rRNA removal kit (Epicentre, Madison, WI, USA).
RNA-Seq mapping and analyses
All computations were made on the supercomputer Briarée from the Université de Montréal, managed by Calcul Québec and Compute Canada. Raw reads were filtered to remove low quality reads using the FASTX toolkit by discarding any reads with more than 10% nucleotides with a PHRED score < 20. Reads were then aligned with the reference genome (the GenBank accession no. for chromosome 1 of strain E264 is CP000086.1 and for chromosome 2, it is CP000085.1) using Bowtie (v 2.2.3) with default parameters.
Chromosome 1 and chromosome 2 sequence alignments were separately processed to allow expression analysis between the two chromosomes. SAMtools (v 0.1.18) and BEDtools (v 2.20.1) were used for the generation of sam and bam files, respectively. The GC content of B. thailandensis E264 genes was calculated using BEDtools (v 2.20.1), prior to normalization. Normalization of the read count was done using the RPKM normalization function of the NOIseq package in R (42). To exclude features with low read counts, a low count filter was applied using a CPM method with a CPM value of 1 and a cutoff of 100 for the coefficient of variation. Cutoff values of 3-fold were used to consider differential expression biologically significant.
LC-MS/MS quantification of AHLs
The concentrations of AHLs were determined from samples of B. thailandensis E264 cultures obtained at different time points during bacterial growth, by liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS). The samples were prepared and analyzed as described previously (43). 5,6,7,8-Tetradeutero-4-hydroxy-2-heptylquinoline (HHQ-d4) was used as an internal standard. All experiments were performed in triplicate and conducted at least twice independently. For experiments with additions of 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid (HEPES), cultures were buffered or not with 100 mM HEPES (Sigma-Aldrich Co., Oakville, ON, Canada) from a stock prepared in ultrapure water. Water only was added to the controls.
Quantitative reverse transcription-PCR and reverse transcription-PCR experiments
cDNA synthesis was performed using the iScript reverse transcription supermix (Bio-Rad Laboratories), and amplification was accomplished on a Corbett Life Science Rotor-Gene 6000 thermal cycler using the SsoAdvanced universal SYBR green supermix (Bio-Rad Laboratories), according to the manufacturer’s protocol. The reference gene was ndh (44). The ndh gene displayed stable expression under the different genetic contexts tested. All primers used for cDNA amplification are presented in Table S6. Differences in gene expression between B. thailandensis E264 strains were calculated using the 2−ΔΔCT formula (45). A threshold of 0.5 was chosen as significant. All experiments were performed in triplicate and conducted at least twice independently.
Measurement of the activity of scmR-lux reporter
Expression from the promoter region of scmR was quantified by measuring the luminescence of B. thailandensis E264 cultures carrying the corresponding chromosomal mini-CTX-lux transcriptional reporter, as described previously (11). Overnight bacterial cultures were diluted in TSB to an initial OD600 of 0.1 and incubated as indicated above. The luminescence was regularly determined from culture samples using a multi-mode microplate reader (Cytation 3; BioTek Instruments, Inc., Winooski, VT, USA) and expressed in relative light units per optical density of the culture (RLU/OD600). All experiments were performed with three biological replicates and repeated at least twice.
Infection of D. melanogaster
The fruit flies were infected by feeding according to the previously described protocol (46). Briefly, 1 g of fruit fly dry medium was put into infection vials. Bacteria were harvested from LB-grown cultures adjusted to an OD600 of 4.0 by centrifugation at 10,000 x g for 5 min. The pellets were suspended in 0.02X PBS containing 1 mM CaCl2 and 1 mM MgCl2, as well as 500 µg/mL ampicillin (Ap) to avoid infection with nonspecific bacteria. Two mL of bacterial suspension were added to the dry food. Six-seven days-old male flies were anesthetized with CO2 and added to the vials by group of 10. The control vials contained the PBS solution only. Fly survival was scored daily and survival curves were processed with GraphPad Prism 5 (GraphPad Software, Inc., San Diego, CA, USA) to perform a statistical log-rank (Mantel-Cox) test.
Data analysis
Unless stated otherwise, data are reported as means ± standard deviations (SD). Statistical analyses were performed with the R software version 3.3.3 (http://www.R-project.org/) using one-way analysis of variance (ANOVA). Probability values of less than 0.05 were considered significant.
Funding information
This study was supported by Canadian Institutes of Health Research (CIHR) operating grants MOP-97888 and MOP-142466 to ED. ED holds the Canada Research Chair in Sociomicrobiology. The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Acknowledgments
We thank Everett Peter Greenberg (Department of Microbiology, University of Washington School of Medecine, Seattle, WA, USA) for providing the B. thailandensis E264 strains. We especially thank Sylvain Milot, François D’Heygere, and Koyomi Ozaki for their technical help.