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Journal of Bacteriology, June 2006, p. 3887-3901, Vol. 188, No. 11
0021-9193/06/$08.00+0 doi:10.1128/JB.01978-05
Copyright © 2006, American Society for Microbiology. All Rights Reserved.
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B. Joseph,
S. Mertins,
R. Ecke,
S. Müller-Altrock, and
W. Goebel*
Theodor-Boveri-Institut (Biozentrum), Lehrstuhl für Mikrobiologie, Universität Würzburg, D-97074 Würzburg, Germany
Received 27 December 2005/ Accepted 10 March 2006
| ABSTRACT |
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| INTRODUCTION |
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Based on the high level of similarity of PrfA to the cyclic AMP (cAMP) receptor protein Crp of Escherichia coli, this central virulence regulator of L. monocytogenes belongs to the Crp/Fnr family of bacterial transcription activators (26) and shares two functionally important structural features with members of this protein family: a helix-turn-helix DNA-binding motif in the C-terminal region and several short antiparallel ß-strands in the N-terminal half, forming a ß-roll structure (45). The PrfA protein facilitates specific binding to its target site, the so-called PrfA box (consensus sequence, TTAACANNTGTTAA), via the C-terminal helix-turn-helix motif, and affinity is weakened when this target sequence diverges from the perfect palindromic sequence (17, 46). The precise function of the ß-roll structure in PrfA is still not known. In Crp of E. coli this structure is essential for binding of the activating cofactor cAMP. However, cAMP is not produced by gram-positive bacteria, and the cAMP-binding site of Crp is less conserved in PrfA (12, 58). There is evidence, however, that PrfA may also bind an additional factor(s) (9, 41), thereby modulating its activity. Ripio and colleagues (43) isolated a constitutively active prfA mutant (designated prfA*). Subsequently, several other prfA* mutations have been identified (47, 59, 62). The mutant PrfA* proteins do not respond to conditions which negatively affect PrfA activity, such as low temperature (31) and especially the presence of certain phosphotransferase system (PTS) carbohydrates, including glucose, fructose, mannose, and especially cellobiose (2, 34, 37), whose uptake is mediated by phosphoenolpyruvate-sugar phosphotransferase systems, suggesting that PrfA may interfere either with components of PTS and/or with the connected carbon catabolite repression (CCR) control of L. monocytogenes.
CCR controls, in addition to many genes involved in carbon and nitrogen metabolism (for recent reviews see references 53 and 54), the expression of virulence genes in several pathogenic bacteria (22, 32, 51) and developmental genes involved in the initiation of sporulation in Bacillus subtilis (16). CCR control in gram-positive bacteria having low G+C contents depends on the regulator protein CcpA (catabolite control protein A). This protein, a member of the LacI/GalR family of bacterial regulatory proteins, regulates the expression of genes by binding to the catabolite responsive element (cre box) located in or near the promoter regions (about 200 genes in B. subtilis) (21, 36). CcpA activity is modulated by different cofactors, which lead to different modes of gene regulation (3, 20, 36). A major cofactor of CcpA is HPr phosphorylated at Ser46. The HPr protein is a basic component of all PTSs. During PTS-mediated sugar uptake, HPr (encoded by ptsH) is phosphorylated (by phosphoenolpyruvate) at His15 by enzyme I. HPr-His15-P triggers phosphorylation of the sugar-specific transport component EIIA and then EIIB; the latter component activates the sugar translocation via EIIC. EIIA is also involved in other regulatory functions (53). HPr can also be phosphorylated or dephosphorylated at Ser46 by a specific ATP-dependent HPr-kinase/phosphorylase (HPrK/P) (33, 40). This phosphorylation of HPr is stimulated by intermediates of the glycolytic pathway, particularly fructose-1,6-bisphosphate. Glucose starvation, an increase in the concentration of inorganic phosphate, and low concentrations of glycolytic intermediates trigger the phosphorylase activity of HPrK/P, leading to dephosphorylation of HPr-Ser-P (15, 33). The CcpA/HPr-Ser46-P complex leads to repression of many catabolic genes (8, 19, 52, 54). These genes are consequently up-regulated in ccpA- and hprK-deficient mutants (3, 36).
However, a ccpA-deficient mutant of B. subtilis also exhibits impaired glucose transport (61) and down-regulation of the transcription of several genes that are essential for C metabolism and N metabolism (3, 14, 28, 29, 48, 54). Typical members of this group of genes that are down-regulated by a limited glucose supply are involved in the biosynthesis of the branched amino acids (encoded by the ilvB operon), in glycolysis (gapA operon), and in nitrogen metabolism (e.g., glutamate synthetase) (gltAB). The genome sequence of L. monocytogenes (19) contains orthologs of all essential components involved in PTS and CCR control in B. subtilis, suggesting that the mechanisms of these global systems are similar in L. monocytogenes and B. subtilis. However, it has been shown that PrfA-dependent virulence gene expression is not affected in a ccpA mutant of L. monocytogenes, which rules out direct CCR control of either prfA gene expression or possible PrfA modulating factors (1).
In this study we analyzed the molecular basis for the observed strong growth inhibition of L. monocytogenes overexpressing PrfA* (PrfA) when the organism was growing in a glucose-containing minimal medium. We found that excess PrfA* reduces the rate of glucose uptake. By comparing the gene expression patterns of a prfA deletion mutant and an isogenic strain overexpressing PrfA*, we identified in the PrfA*-overexpressing strain, besides the highly up-regulated PrfA-dependent virulence genes, several down-regulated genes involved in C and N metabolism that belong to the group of genes which respond to a limited glucose supply in B. subtilis (36). The data suggest that overproduced PrfA (PrfA*) interferes with components of the glucose uptake PTS(s).
| MATERIALS AND METHODS |
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Preparation of supernatant and cellular proteins of L. monocytogenes. Overnight cultures of L. monocytogenes grown in BHI were washed twice in MM-Glc, inoculated into fresh MM-Glc, and grown to an optical density at 600 nm of 1.0. Each culture was then centrifuged for 10 min at 6,000 rpm at 4°C. The supernatant was precipitated on ice with 10% trichloroacetic acid, pelleted by centrifugation at 6,000 rpm for 30 min at 4°C, and washed twice in acetone. After washing, the pellet was resuspended in urea buffer (7 M urea, 2 M thiourea, dithiothreitol) and 3-[(3-cholamidopropyl)dimethylammonio]-1-propanesulfonate (CHAPS). For preparation of cellular proteins, the pellet was washed twice in 1x phosphate-buffered saline and resuspended in cold lysis buffer (1x phosphate-buffered saline with additional protease inhibitor [Roche]) and placed in a 2-ml BLUE TUBE (Q-Biogene) filled with silica sand. The tube was shaken six times for 30 s each time at speed 6.5 with a bead beater (FP120 Fast Prep cell disrupter; Savant Instruments, Inc.). The cell debris was removed by centrifugation at 14,000 rpm for 30 min at 4°C. The total protein concentration was determined by the Bio-Rad protein microassay.
SDS-PAGE and immunoblotting. Sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) was performed by using standard protocols (24). After SDS-PAGE, cytoplasmic proteins and proteins from culture supernatant were Western blotted onto nitrocellulose membranes, and listeriolysin O, ActA, and PrfA were immunodetected using specific rabbit polyclonal antibodies.
Determination of hemolytic activity. L. monocytogenes was grown in the appropriate medium at 37°C to an optical density at 600 nm of 1.0. Culture supernatants were assayed for hemolytic activity as described previously (43). Twenty-five microliters of the culture supernatant was incubated in 1 ml of a 4% sheep erythrocyte suspension for 30 min at 37°C. After incubation the tubes were centrifuged at 2,500 rpm for 5 min at room temperature. The hemolytic activity was measured by determining the OD543.
Extraction of RNA from L. monocytogenes strains. RNA was extracted from L. monocytogenes strains grown in MM-Glc as follows. A cell pellet was suspended directly in lysis buffer (QIAGEN) and placed in a 2-ml BLUE TUBE that was filled with silica sand (Q-Biogene). The tube was shaken three times for 45 s each time (with 1 min of incubation on ice between treatments) at speed 6.5 with a bead beater (FP120 FastPrep cell disrupter; Savant Instruments, Inc.). After centrifugation at 13,000 x g for 5 min, the supernatant was transferred to a fresh tube, and 1 ml of Trizol reagent (Gibco BRL) was added. The sample was incubated for 5 min at room temperature. Total RNA was extracted once with chloroform and precipitated in 0.7 volume of isopropanol. After washing with 70% ethanol, the RNA pellet was dissolved in sterile diethyl pyrocarbonate-treated water and then purified further by using an RNeasy mini kit (QIAGEN) according to the manufacturer's protocol and quantified based on the absorbance at 260 and 280 nm.
Microarray analysis. Transcriptome analyses were performed using whole-genome DNA microarrays that contained synthetic 70-mer oligodeoxyribonucleotides covering all open reading frames (ORFs) of the L. monocytogenes genome. The oligonucleotides (Operon Co.) were spotted on epoxy-coated glass slides from Quantifoil according to the manufacturer's instructions at the microarray facility of Institut für Hygiene und Mikrobiologie, Würzburg, Germany. Each oligonucleotide was spotted four times on a slide to generate four replicates for each oligonucleotide on a slide. Three independent RNA preparations obtained from the conditions tested were pooled, and six equal aliquots (15 to 20 µg) of total RNA from the strains were used to synthesize cDNA differentially labeled with Cy3-dCTP and Cy5-dCTP (Amersham Pharmacia, Freiburg, Germany) during a first-strand reverse transcription (RT) reaction with Superscript II RNase H reverse transcriptase and 9 µg random primers (Life Technologies, Karlsruhe, Germany). Dye swapping was performed as follows. Three cDNA samples from one strain were generated using Cy3-dCTP, and three cDNA samples were generated using Cy5-dCTP; cDNA samples from the other strain investigated were generated similarly. Two differentially labeled cDNA samples were combined, diluted with 3x SSC-0.1% (wt/vol) sodium dodecyl sulfate (1x SSC is 0.15 M NaCl plus 0.015 M sodium citrate), hybridized to a microarray slide, and incubated at 65°C for 16 h. Six such slides were hybridized using the probes generated. After washing according to the manufacturer's protocol (Quantifoil), the slides were scanned using ScanArray HT and were analyzed using the ScanArray express software (Perkin-Elmer, Boston, MA). Spots were flagged and eliminated from the analysis when the signal-to-noise ratio was less than 3 or in obvious instances when there were high background or stray fluorescent signals. The LOWESS method of normalization (63) was performed for the background-corrected median intensity of the spots. The 24 normalized ratios for each gene resulting from the six slides were also analyzed with Microsoft Excel (Microsoft, Redmond, WA) and the SAM software for statistical significance (56).
Real-time RT-PCR. RT-PCR was performed with independently isolated total RNA, such as the RNA used for transcriptome analysis experiments. Before RT-PCR was performed, the absence of DNA from RNA samples was verified by PCR amplification of the genes to be assayed with 1 µg RNA as the template. cDNA synthesis was performed as described above by using 5 µg total RNA. Instead of the labeled nucleotides, 20 mM dATP, 20 mM dCTP, 20 mM dGTP, and 20 mM dTTP were used. RT-PCR was performed in a 20-µl (final volume) reaction mixture. The protocol and cycling conditions used were the protocol and cycling conditions recommended by the manufacturer for a qPCRCore kit for SYBR Green I (Eurogentec). The oligonucleotides used are listed in Table 2. For quantification of RT-PCR data, a standard curve was established by using serial dilutions of an rpoB PCR fragment as the template in an RT-PCR, which served as an external standard. Normalization of all results was performed by establishing a normalization factor as follows. For each strain in all the growth media tested, the rpoB expression was determined using rpoB-specific primers. By setting the rpoB ratio equal to 1, a normalization factor for all strain combinations in all media tested was calculated and used to normalize all data sets. The specificity of all amplicons was confirmed using melting curves. Final means and standard deviation were calculated based on the ratio of the results of four independent RT-PCRs for each strain combination and growth condition.
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Data accession number. The data obtained in this study have been deposited in the NCBI Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/geo/) under GEO Series accession number GSE4414.
| RESULTS |
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prfA deletion mutant) overexpressing constitutively active PrfA (due to a mutation in prfA leading to a G145S substitution, designated PrfA*) encoded by the multicopy plasmid pPrfA* showed strong growth inhibition upon cultivation in a defined minimal medium (MM-Glc) (38) or in LB-Glc compared to the growth of the same strains carrying only the vector pERL3 (Fig. 1a and b). Both culture media contained 50 mM glucose as a carbon source. As shown in Fig. 1a, highly significant growth inhibition was also observed when the prfA mutant contained high numbers of wild-type prfA (plasmid pPrfA). However, growth inhibition was more pronounced for the
prfA(pPrfA*) strain than for the
prfA(pPrfA) strain, although these two strains produced almost equal amounts of the PrfA (PrfA*) protein and, as expected, the wild-type strain with the control plasmid contained far less PrfA (Fig. 1a, inset). Similar growth inhibition of the strain containing pPrfA* was also observed in LB-Glc with strains P14 and P14-A (Fig. 2a), which were also used in this study (these strains were isogenic and hyperactive PrfA-producing variants of L. monocytogenes [42]). The PrfA in these strains was quantified by Western blot analysis, and the P14-A strain with and without overexpression of PrfA* contained far larger amounts of PrfA than the isogenic P14 strain contained (Fig. 2a, inset).The larger amount of PrfA in P14-A(pPrfA*) than in P14(pPrfA*) was due to the presence of the chromosomal copy of prfA, which resulted in autoregulation. There was no difference between the growth rate of wild-type strain EGD and the growth rate of the isogenic
prfA mutant when the organisms were grown in MM-Glc (Fig. 1a). In BHI only marginal differences in the growth rates of these strains were observed (data not shown).
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prfA carrying pPrfA* (Fig. 1c). A possible effect of overproduction of other PrfA-dependent gene products on growth inhibition could also be ruled out (mutants with deletions in inlAB and inlC and in hpt were tested) (data not shown). Growth inhibition of the PrfA*-overexpressing strains was also observed when the culture medium was supplemented with 50 mM fructose, 50 mM mannose, or 25 mM cellobiose instead of 50 mM glucose, but not when glucose was replaced by the non-PTS carbon source adenosine (data not shown).
L. monocytogenes overexpressing PrfA* shows no growth inhibition with glucose-6-phosphate as a carbon source. To test whether the observed inhibition of growth by overexpressed PrfA (PrfA*) in glucose-containing minimal medium was caused by interference of PrfA with PTS-mediated glucose transport or subsequent steps linked to glucose metabolism, we replaced glucose with glucose-6-phosphate (G-6-P) as the carbon source. G-6-P is taken up by L. monocytogenes via the non-PTS permease Hpt, whose gene, designated hpt or uhpT, is under PrfA control (7); however, the subsequent catabolism should be the same. Growth experiments were carried out with the EGD strains mentioned above and, in addition, with L. monocytogenes strains P14 and P14-A, which carry single copies of the wild-type prfA and mutant prfA* genes in the chromosome (42). The bacteria had to be cultivated in LB-G-6-P, as MM-G-6-P did not allow growth of L. monocytogenes in the presence of G-6-P. Without added glucose there was only limited growth in LB (up to an OD600 of 0.5) of the L. monocytogenes wild-type strains (EGD and P14) (data not shown), which was obviously due to residual, undetermined PTS sugars in LB as a ptsH mutant of L. monocytogenes (which is unable to produce HPr and hence also is unable to take up PTS sugars) does not grow at all in LB (Mertins, unpublished data).
It is interesting that in LB with G-6-P not even the
prfA(pPrfA) strain expressing rather large amounts of wild-type PrfA was able to grow efficiently. However, growth of this strain was readily observed when Amberlite XAD (a resin that activates PrfA [13; M. Rauch, unpublished data]) was added to the medium (Fig. 2c), indicating that a component(s) of LB strongly suppresses PrfA activity. As shown in Fig. 2b, excess PrfA* did not inhibit but rather enhanced the growth of L. monocytogenes in G-6-P-containing LB, in contrast to the growth in glucose-containing LB (Fig. 2a). Neither the
prfA(pPrfA*) strain nor P14(pPrfA*) and P14-A(pPrfA*) showed growth inhibition in G-6-P-containing LB compared to the growth of the
prfA(pPrfA) strain or strains P14 and P14-A carrying the vector pERL3 alone. These data suggest that excess PrfA (or PrfA*) interferes with components of PTS-mediated glucose uptake but not with Hpt-mediated uptake of G-6-P. The data indicate that interference of overexpressed PrfA* or overexpressed and activated wild-type PrfA with subsequent steps linked to the metabolism of the G-6-P is not the cause of growth inhibition. To further support this conclusion, we determined directly the rate of uptake of 14C-labeled glucose in EGD
prfA(pERL3) and
prfA(pPrfA*) strains when they were growing in LB-Glc. Figure 3 shows that high levels of PrfA* indeed inhibited glucose uptake significantly under the conditions tested.
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prfA(pERL3)] and the same strain with pPrfA* after growth of these strains in MM-Glc. To do this, we used microarrays containing oligonucleotides of all ORFs identified in the genome sequence of L. monocytogenes (19). RNA was prepared from the two strains grown either for the same amount of time [in this case the OD600 of the
prfA(pERL3) strain reached 1.0 and that of the
prfA(pPrfA*) strain reached 0.3] or to the same cell density (in this case both cultures were harvested at an OD600 of 1.0). In the first case the two strains were in similar logarithmic growth states (the set of RNAs from these cultures is referred to below as "set 1 RNA"), while in the second case the
prfA(pPrfA*) strain was already close to the stationary phase ("set 2 RNA"). Equal amounts of set 1 and set 2 total RNAs were labeled with Cy3-dCTP and Cy5-dCTP, respectively, and hybridized to the microarrays. Each experiment was carried out with three independently prepared RNAs and with six microarray slides. Since each oligonucleotide was spotted four times on each slide, 24 normalized background-corrected median intensity ratios for the two probes were obtained for each ORF for a given strain combination. Only the genes for which there were at least 12 good replicates based on the quality control criteria used and which showed significant twofold differential regulation as determined by SAM (56) were considered further. Expression of some of the differently regulated genes was confirmed further by real-time PCR (see below). With this set of data we identified three groups of genes that were differently regulated in the two strains and whose expression was hence influenced by excess PrfA* (PrfA).
Genes belonging to group I were highly up-regulated in the
prfA(pPrfA*) strain (more than fourfold) (Table 3), and these genes included prfA and the virulence genes (i.e., hly, mpl, actA, plcB, inlAB, inlC, and hpt); transcription of these genes is known to be activated by PrfA in vivo (for a recent review see reference 57) and in vitro (25, 30). The expression of lmo0206 and lmo0207, which are located in an operon together with mpl, actA,and plcB, was also up-regulated. Both ORFs were therefore included in group I. As expected, these genes were found in set 1 and set 2 RNAs; the up-regulation of these genes in the
prfA(pPrfA*) strain was more pronounced with set 1 RNA than with set 2 RNA.
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prfA(pPrfA*) strain compared to the expression in the isogenic strain carrying only the empty vector. In contrast to the genes in group I, none of the genes in this group contained a characteristic PrfA box in the upstream regulatory regions. Only a few of these genes were identified with set 1 and set 2 RNAs (Table 3). The functions of these common genes are largely unknown, and several of the genes are genes of the integrated bacteriophage A118. Up-regulation of these phage genes was more pronounced with set 2 RNA. Some of the other genes in group II, which were observed mainly with set 1 RNA, are genes that belong to operons involved in cell wall modifications (lmo0971 to lmo0974), in a two-component system (encoded by the lmo1741-lmo1746 operon), in fatty acid biosynthesis (lmo1805 to lmo1809), and in reduction of ribonucleosides (lmo2151 to lmo2155).
Genes belonging to group III were very significantly down-regulated (two- to fivefold) in the
prfA(pPrfA*) strain and were best identified with set 1 RNA. In addition to some unknown products, these genes encode mainly enzymes involved in glycolysis (eno, pgm, pgk), in biosynthetic pathways (ilvB operon, trp operon), and in N metabolism or regulation of this metabolism (lmo1733 and lmo1734-[gltAB], encoding the small and large subunits of glutamate synthase; lmo1516 and lmo1517; encoding the ammonium transporter NrgA and the PII-like protein NrgB; glnA, encoding the glutamine synthase). Other interesting genes include kat (catalase), genes for a PTS specific for ß-glucosides, and genes encoding two ABC transporters specific for glycine betaine (lmo1015 and lmo1016) and for metal cations (lmo1848 and lmo1849). Again, none of the group III genes have a putative PrfA box in the 5' upstream regulatory region (Table 3).
Confirmation of microarray data for the group III genes by quantitative real-time RT-PCR.
Real-time RT-PCR was employed for selected genes to confirm the differential regulation observed in the transcriptome analyses. These experiments were performed with set 1 RNA preparations isolated independently of the preparations used for the transcriptome analysis described above. In particular, we analyzed the interesting group III genes glnR, glnA, lmo1516 and lmo1517 (nrgAB), lmo1734 (gltA), lmo1849, and leuA (Fig. 4). To further show that excess wild-type PrfA down-regulates these genes as well as PrfA*, we performed RT-PCR with RNAs isolated from the
prfA(pERL3),
prfA(pPrfA*), and
prfA(pPrfA) strains after growth in MM-Glc. The results obtained confirmed that overproduced wild-type PrfA qualitatively had the same effect as PrfA* on the expression of the group III genes tested (Fig. 4a). Similar results were obtained when we used the wild-type EGD strain instead of the
prfA mutant (Fig. 4b). These results suggest that the expression of these genes is inhibited by excess PrfA* and wild-type PrfA. Furthermore, Fig. 4a and 4b show that these genes were not differentially regulated when the strains were grown in BHI, supporting the observation that there was no growth difference between the strains in BHI.
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prfA(pPrfA) and
prfA(pPrfA*) strains, respectively, are similar. However, as recently shown (13), the activities of the two PrfA species can still vary significantly despite similar concentrations. To confirm the difference in activity for the two strains when they were grown in MM-Glc, we measured the hemolytic activities (determined entirely by the PrfA-controlled hly gene) of the two strains in the presence and absence of cellobiose. This ß-glucoside is known to strongly inhibit the activity of wild-type PrfA but not the activity of PrfA* (43). As shown in Fig. 5a, the hemolytic activity was fivefold higher in the
prfA(pPrfA*) strain than in the
prfA(pPrfA) strain in MM-Glc in the absence of cellobiose, and the hemolytic activity was strongly inhibited by cellobiose in the
prfA(pPrfA) strain but not in the
prfA(pPrfA*) strain. Similar results were obtained when we determined the amounts of listeriolysin O and ActA under these conditions (Fig. 5b and 5c).
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prfA strains overexpressing PrfA* or wild-type PrfA grown in MM-Glc. The two strains exhibited reduced growth rates in MM-Glc (albeit to different extents) compared to the growth rate of the
prfA strain not producing PrfA (Fig. 1a). Again, both strains were harvested at the same time, and RNA was isolated as described above. As shown in Table 4, the expression pattern for the
prfA(pPrfA*)-
prfA(pPrfA) strain combination was quite similar to that for the
prfA(pPrfA*)-
prfA(pERL3) strain combination (Table 3); although the change was much greater for the latter combination, the results suggested that not only the amount but also the activity of PrfA is responsible for the strength of the growth inhibition and the differential gene expression in these strains caused by excess PrfA* or wild-type PrfA.
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| DISCUSSION |
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prfA mutant) overproducing PrfA* is strongly inhibited in a defined minimal medium containing glucose as the carbon source (MM-Glc) compared to the growth of the wild-type EGD strain or the prfA null mutant. Greater growth inhibition was observed in the presence of excess hyperactive PrfA* than in the presence of wild-type PrfA protein (when roughly equal amounts were used), suggesting that not only the amount but also the PrfA activity (which is considerably higher in PrfA*) is decisive for the inhibition. The growth rates of all of the strains were only marginally different in rich culture medium (BHI). The data clearly show that the growth inhibition is not caused by overproduction of the products of the PrfA-controlled virulence genes but correlates with reduced PTS-mediated glucose transport that is apparently caused by overexpressed PrfA (PrfA*). Since the growth of L. monocytogenes in the presence of glucose-6-phosphate taken up by the PrfA-dependent Hpt transporter (7) is as efficient as the growth in the presence of glucose and is not inhibited (but rather is enhanced) by excess PrfA (PrfA*), we concluded that excess PrfA (PrfA*) interferes with a component(s) of PTS-mediated glucose transport rather than with components of the subsequent steps linked to the metabolism, as the later steps should be similar in both cases.
A comparison of the expression profiles of the
prfA strain overexpressing PrfA* and the same strain not expressing PrfA showed that after growth in MM-Glc there was transcriptional up- and down-regulation of several genes that can be divided into three groups. Group I contains all known PrfA-dependent virulence genes, including the genes encoding LIPI-I (57), inlAB, inlC, and hpt. Up-regulation of these genes clearly correlates with the activity of PrfA, since greater up-regulation was observed with the hyperactive molecule PrfA* than with equal amounts of wild-type PrfA, which is in accord with other reports (13). It is interesting that expression of none of the genes which were recently reported to be also under PrfA control, like bsh, bilE, or vip (5, 11, 50), was found to be up-regulated under these conditions, suggesting that these genes are controlled differently by PrfA than the "classic" PrfA-regulated virulence genes mentioned above.
The up-regulation of the group II genes was less pronounced than the up-regulation of the group I genes and was observed mainly with RNAs from the
prfA and
prfA(pPrfA*) strains when they were grown for the same amount of time (set 1 RNA), which reflected the actual growth inhibition by excess PrfA* (PrfA). Only a few of these genes were also found to be up-regulated with RNAs from bacteria grown to the same cell density (set 2 RNA), when both cultures reached similar growth phases (although at very different times [Fig. 1a]). Among the group II genes, which do not contain typical PrfA boxes in the regulatory regions preceding the genes, is the lmo1741-lmo1746 operon, which contains the genes for a two-component system, VirR (lmo1745) and VirS (lmo1741). VirR was recently identified as a response regulator that is critical for L. monocytogenes virulence (31). Interestingly, most of the genes that were shown by Mandin et al. to be under the control of VirR are also group II genes. The fact that up-regulation of these genes was also observed when the comparative transcription profiles of the
prfA(pPrfA*) and
prfA(pPrfA) strains were examined suggests that the induced virR expression correlates not only with the amount of PrfA but also with the PrfA activity. Growth inhibition and up-regulation of group II genes by excess PrfA and PrfA*, respectively, thus behave similarly, suggesting that both events may be caused by the impaired glucose uptake due to excess PrfA* (PrfA). Other genes in this group (better observed with set 2 RNA) belong to the integrated A118 bacteriophage, and expression of these genes may be induced by nutrient stress.
Among the most strongly down-regulated genes belonging to group III are genes that were also found to be down-regulated under glucose-limited conditions in B. subtilis, i.e., the gltAB and ilvB operons (3, 14, 28, 29, 48, 54). It is therefore likely that the observed down-regulation of these genes and also of the other genes involved in N metabolism (i.e., ngrAB and glnAR) in PrfA* (PrfA)-overproducing L. monocytogenes is also caused by the impaired glucose transport. The same explanation may also apply to down-regulation of the eno and pgm genes, which are involved in the lower part of glycolysis and have also been shown to be down-regulated in B. subtilis under glucose-limited conditions (3). The strong down-regulation of the trp operon observed in the presence of excess PrfA* has not been observed in B. subtilis under glucose-limited conditions. Tryptophan biosynthesis depends strongly on intermediates of the pentose phosphate cycle (erythrose-4-phosphate and ribose-5-phosphate). Perhaps the reduced glucose concentration in the presence of a high level of PrfA* slows down the pentose phosphate pathway, which in turn may lead to reduced expression of the trp operon. Similar to the up-regulation of group II genes, the down-regulation of group III genes was most obvious with RNAs from listerial cells that were grown for the same amount of time (set 1 RNA; reflecting the actual growth inhibition by excess PrfA) and less obvious with RNAs from cells that were grown to the same cell density (set 2 RNA). As expected, there was not a significant difference in the up-regulated group I genes with these two RNA sets.
We think that the impaired glucose uptake is primarily responsible for the observed growth inhibition, while the down-regulation of the group III genes (and possibly also the up-regulation of group II genes) may be primarily a consequence of the reduced glucose uptake by excess PrfA*. Particularly the down-regulation of the ilvB and glnAR operons is surprising in this context, since the MM-Glc medium used contained leucine, isoleucine, valine, and glutamine in addition to other amino acids (38). The results thus indicate either that the genes for biosynthesis of the branched amino acids and glutamine are not repressed in logarithmically growing L. monocytogenes by the presence of these amino acids in the culture medium or that these amino acids are not efficiently taken up by L. monocytogenes and hence their intracellular levels are too low for repression of their biosynthesis operons.
The precise mechanism for the down-regulation of these genes under glucose-limited conditions in B. subtilis is not understood yet. It has been claimed that an intracellular metabolite that accumulates during active PTS-mediated glucose transport may be required for induction of these genes (3). Recent reports (48, 55) have shown that regulation of the ilvB operon, which belongs to this class of genes, involves, in addition to CcpA (there is a cre site in front of the first gene of this operon), other global regulators which respond to nutrient limitation, like CodY and TnrA.
Recently, Mandin and coworkers (31) reported comparative gene expression profiles for L. monocytogenes EGDe producing different levels of PrfA (and PrfA*). These authors showed that in addition to expression of the known PrfA-dependent virulence genes, there was up-regulation of SigB-controlled genes in the presence of PrfA, which we did not observe in our study. Although the data of the two studies cannot be directly compared due to the different culture media and strains used, it is interesting that expression of SigB is induced in B. subtilis under various stress conditions, including a limited glucose supply (60). Thus, PrfA-mediated inhibition of glucose transport may also cause induction of the SigB-regulated genes by PrfA under the culture conditions used by Mandin and coworkers. This conclusion is in agreement with the observation described by these authors that induction of the SigB-regulated genes is strongly enhanced in strain P14-A, which produces much more PrfA than the EGDe strain produces.
Our data led us to conclude that high concentrations of wild-type PrfA and of PrfA* inhibit PTS-mediated glucose transport probably by binding to a component essential for this process. Several previous studies (2, 4, 13, 34, 37) have shown that PrfA activity is inhibited by an unknown mechanism when L. monocytogenes is cultured in the presence of PTS sugars, like glucose and especially cellobiose. Both observations may be based on the interaction of PrfA with a common component involved in the PTS-mediated uptake of these sugars. Assuming that the concentration of this component in the bacterial cell is constant, the interaction should lead to inhibition of wild-type PrfA activity but (due to the altered structure [12], not to inhibition of PrfA* activity) at a low PrfA concentration. At a high PrfA concentration this component is titrated out by PrfA (and even better by PrfA*), leading to inhibition of PTS-mediated sugar uptake.
| ACKNOWLEDGMENTS |
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We are grateful to M. Frosch and Anja Schramm for help with the microarray facility.
| FOOTNOTES |
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A.K.M. and B.J. contributed equally to the work. ![]()
Present address: Centre for Microbial Diseases and Immunity Research, University of British Columbia, Vancouver, BC V6T 1Z4, Canada. ![]()
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