Abstract
Abbreviations: qRT-PCR, quantitative real-time PCR
In Salmonella enterica serovar Typhimurium and Escherichia coli, a transcriptional hierarchy of gene expression is coordinated temporally with the assembly of the flagellar structure (Chilcott & Hughes, 2000; Macnab, 1996, 2003). The expression of flagellar genes is regulated in response to environmental signals, via a master operon flhDC. The gene expression sequence features a checkpoint, whereby expression of σ28-dependent class III or late filament and associated genes is contingent on release of σ28 from sequestration by its cognate anti-sigma factor FlgM. Release of σ28 follows completion of the hook structure, when a switch in export specificity, from hook-associated to filament-associated proteins, allows export of FlgM (Chilcott & Hughes, 2000). The switch is controlled by a regulatory protein, FliK, first identified by the formation of polyhooks in fliK mutants (Patterson-Delafield et al., 1973; Silverman & Simon, 1972). Genetic studies have shown that FliK cooperates with export gateway protein FlhB (Hirano et al., 1994). The exact mechanism whereby FliK senses hook length remains unclear (Ferris & Minamino, 2006; Hirano et al., 2005; Keener, 2005; Minamino & Pugsley, 2005) and may depend not only on molecular interactions of proteins of the export pathway but also on temporal or kinetic aspects of hook growth (Minamino et al., 2004).
Polar flagellate bacteria deviate substantially from the E. coli/Salmonella paradigm. Orthologues of the master switch genes flhCD are absent. Sigma factor σ54 is involved in flagellar expression in most polar flagellate species. This enables the inclusion of additional checkpoints in flagellar assembly, mediated by transcription activators of the NtrC class and best characterized in Vibrio cholerae (Prouty et al., 2001), Pseudomonas aeruginosa (Dasgupta et al., 2003; Jyot et al., 2002) and Caulobacter crescentus (Mohr et al., 1998).
In Campylobacter species, analysis of the promoter regions of the dual flagellin genes has identified a canonical σ28-dependent promoter associated with the major flagellin gene flaA, and a canonical σ54-dependent promoter for the minor flagellin gene flaB, in both C. jejuni (Nuijten et al., 1990) and Campylobacter coli (Guerry et al., 1991). We and others have since confirmed the involvement of σ54 in flagellar biogenesis, and its regulation by an NtrC family regulator FlgR (Carrillo et al., 2004; Hendrixson & DiRita, 2003; Jagannathan et al., 2001; Wosten et al., 2004). However, several flagellar genes known from the enteric model, including the regulatory gene fliK that encodes a hook-length control and export specificity switch, have not been identified from the genome sequence (Parkhill et al., 2000). Hendrixson & DiRita (2003) have explored the σ54-dependent regulon among known flagellar genes of C. jejuni using an elegant reporter gene system, and have suggested that the known functional flagellar hook protein gene Cj1729c, annotated flgE2, be renamed flgE, and its paralogue of unclear functionality, Cj0043, be named flgE2: we adopt this suggestion. Hendrixson & DiRita (2003) also confirmed the predicted identity of Cj0793 (named flgS) as the gene encoding the cognate sensor for FlgR (Jagannathan et al., 2001), forming a two-component sensor–regulator system controlling σ54. Wosten et al. (2004) have confirmed that a phospho-transfer relay mediates this two-component regulation. Using microarrays and proteomic analyses to investigate variants of strain NCTC 11168, Carrillo et al. (2004) have demonstrated the importance of genes with predicted promoters dependent on σ54 and σ28 in motility-associated attenuation of a poorly motile stock strain, identified middle and late genes involved in the flagellar gene expression cascade, and demonstrated key roles for flhA and fliA.
Questions remain, however, in relation to the operation of the C. jejuni flagellar regulon. The functions encoded by key genes such as fliK whose existence remains unconfirmed in the C. jejuni genome are undefined, and the boundaries of the regulons controlled by the flagella-associated alternative sigma factors σ28 and σ54 are still unclear. We now present new experimental evidence for the identification and role of a novel fliK (Cj0041) gene in C. jejuni. Knockout mutants in this gene exhibit a polyhook phenotype and greatly overexpress the hook protein FlgE, a putative σ54-dependent gene product. We have used the perturbation of σ54-dependent gene expression in this mutant in microarray experiments, whereby overexpression of these genes in the fliK knockout is confirmed by their reciprocal down-regulation in σ54 and flgR knockouts. We also present data derived from parallel studies of a σ28 knockout. These data firmly define the scope of the σ54-dependent regulon, and we correlate σ54-dependent gene expression with score-based promoter predictions.
Strains and growth conditions.The C. jejuni strains used in this study were NCTC 11168, obtained from A. Karlyshev, London School of Hygiene and Tropical Medicine, to represent the genome-sequenced stock, and three knockout mutants flgR, rpoN and fliA (Jagannathan et al., 2001). Knockouts in Cj0041 were created in both wild-type NCTC 11168 and NCTC 11828 (also known as strain 81116). Bacteria were grown on blood agar plates, consisting of Columbia Agar Base (Oxoid) supplemented with 7 % (v/v) defibrinated horse blood (TCS Microbiology), or on Mueller–Hinton (MH) agar (Oxoid), in a microaerobic atmosphere at 37 °C. For total RNA isolation, bacteria from a 24 h plate culture were resuspended in 1 ml MH broth (Oxoid) and inoculated into 10 ml MH broth to OD600 ∼0.1. Cultures were grown for 18 h with shaking at 75 r.p.m.
Bioinformatic analysis.
The complete genome sequence of C. jejuni NCTC 11168 was obtained from the NCBI FTP server and scanned against a scoring matrix (Frech et al., 1993) derived from a compilation of known σ54-binding sites (Barrios et al., 1999) using the promscan.pl Perl script (). Each window of 16 bases was assigned a score using the matrix. This score, known as the Kullback–Leibler distance, reflects the theoretical binding energy of the DNA–protein interaction and is calculated using the formula:
In choosing a threshold score, there is a trade-off between specificity and sensitivity. All currently known σ54-dependent promoters occur in intergenic regions. Therefore, if our threshold is sufficiently stringent, we would expect match sites to occur predominantly in intergenic regions. Furthermore, of those matches falling within intergenic regions, we would expect the majority to be in the same orientation as the adjacent downstream gene. Using a very stringent threshold score of 85, a disproportionately high number of sites (10 out of 37) were in the correct orientation and situated in intergenic regions. However, using this threshold would mean excluding several matches that were potentially biologically significant (e.g. those upstream of flagellar genes flgH and flgG2). Using a more relaxed threshold value of 80, the overrepresentation was not so apparent (20 out of 176 sites were in correct orientation and situated in intergenic regions). We chose the intermediate threshold value of 83, as this struck a reasonable balance between sensitivity and specificity. In the complete sequence of the C. jejuni chromosome, 67 sites score 83 or more, of which 16 are intergenic and in the correct orientation (see Table 1, which also includes one promoter internal to a coding region, within Cj0063c).
Knockout mutagenesis.
Knockouts in Cj0041 were created by inverse PCR and allelic replacement (Wren et al., 1994), with kanamycin-resistance cassette insertions in both orientations designed to replace the bulk of the wild-type coding sequence, in both strain NCTC 11168 and strain NCTC 11828 (81116). A sequence extending approximately 300 bp upstream and downstream of the Cj0041 coding region was amplified from NCTC 11168 genomic DNA with primers 5'-CCGGAATTCGTGATCTAGCTGAAAGAAAAAATG-3' (forward) and 5'-CCGGAATTCGTGCACTAAGCTGTGAAGTTTGAG-3' (reverse), incorporating CCG clamps and EcoRI restriction sites at their 5' ends. The amplified fragment was cloned into pBluescript (SK+) which was then subjected to inverse PCR using primers 5'-GAGGCATGCGCGGAGCTAAATTTGACATCA-3' and 5'-GAGGCATGCGTCAATCTAGAGCTTGTTTTAGCG-3' incorporating GAG clamps and SphI restriction sites at their 5' ends. The amplification product was digested with SphI, self-ligated to circularize it, and recovered by transformation into E. coli DH5a. This resulted in deletion of the bulk of the coding sequence, leaving the first base of the coding sequence at the 5' end and 9 bp at the 3' end. The kanamycin-resistance cassette from pJMK30 (Wassenaar et al., 1993a) was inserted into the deletion plasmid using SphI and transformed into E. coli DH5a, and transformants with insertions in forward and reverse orientations relative to the deleted coding sequence were identified by digestion of plasmid DNA with HindIII. The marked plasmids were transformed into both NCTC 11168 and strain 81116 (NCTC 11828), and kanamycin-resistant transformants were selected and checked by PCR for correct replacement of the wild-type allele.
RNA extraction for microarray analysis.
Three independent RNA extractions were performed from wild-type NCTC 11168 and each mutant (fliK, rpoN, fliA and flgR). Briefly, 4 ml RNAprotect Bacteria Reagent (Qiagen) was added directly to 2 ml bacterial culture, vortexed for 5 s, incubated at room temperature for 5 min then centrifuged at 2400 g for 5 min at 4 °C. The pellet was resuspended in 200 µl TE buffer containing 1 mg lysozyme ml–1 and incubated at room temperature for 10 min, vortexed every 2 min. The manufacturer's protocol was then followed, including on-column DNase treatment; 50 µl RNase-free water was added to the membrane and the spin column was immediately centrifuged at 9000 g for 1 min. The concentration and purity of the total RNA was analysed using a GeneQuant DNA/RNA calculator (GE Healthcare) and the RNA 6000 Nano LabChip system (Agilent).
Labelling of total RNA.
Total RNA was used as a template for direct incorporation of fluorescent analogues (Cy3 and Cy5 dCTP) into randomly primed reverse-transcribed cDNA. Briefly, 10 µg total RNA and 3 µg random hexamers (Invitrogen) in a reaction volume of 11.5 µl were denatured at 95 °C for 5 min, snap-cooled on ice, then 5 µl First Strand Buffer (Invitrogen), 2.5 µl DTT (100 mM), 1.7 µl Cy-dye-labelled dCTP (GE Healthcare), 2.3 µl dNTP solution (5 mM each of dATP, dGTP and dTTP, plus 2 mM dCTP) and 500 U SuperScript II reverse transcriptase (Invitrogen) were added. Mutant total RNA was labelled with Cy5-dCTP and the control wild-type strain total RNA with Cy3-dCTP. The labelling reactions were incubated at 25 °C for 10 min followed by 42 °C for 90 min.
Microarray hybridizations.
The original annotation of the NCTC 11168 genome contains 1654 annotated C. jejuni ORFs (). Primer pairs for each ORF were designed with Primer 3 software and selected by BLAST analysis to have minimal cross-homology with all other ORFs (Hinds et al., 2002a). A PCR product representing each ORF was amplified from C. jejuni NCTC 11168 chromosomal DNA and spotted onto CMT-GAPS II-coated glass slides (Corning) using a MicroGrid II microgridding robot (BioRobotics). All procedures used, including post-processing of deposited arrays, were as described previously (Hinds et al., 2002b).
Microarray slides were incubated in a pre-hybridization buffer [3.5x saline sodium citrate (SSC) buffer, 0.1 % SDS, 10 mg BSA ml–1] at 65 °C for 20 min, then washed in distilled water for 1 min, followed by a 1 min wash in 2-propanol. Labelled cDNA from the control and test RNA samples was pooled and purified using the Qiagen MinElute PCR purification kit, using a two-step wash stage with 500 then 250 µl volumes of PE buffer and eluting the labelled cDNA from the MinElute column with 14 µl H2O. The columns retained approximately 1 µl, so the final eluted volume was ∼13 µl, which was made up to 30 µl with a final concentration of 4x SSC buffer and 0.3 % SDS. The hybridization mixture was denatured at 95 °C for 2 min and cooled slowly to room temperature. A 22x25 mm LifterSlip coverslip (Erie Scientific) was placed over the reporter element area on the microarray, then the hybridization mixture was applied underneath the coverslip. The slide was placed in a waterproof hybridization chamber (CMT Hybridization Chambers; Corning) for hybridization in a 65 °C water bath overnight. After hybridization, slides were washed in 1x SSC buffer with 0.06 % SDS at 65 °C for 5 min, followed by two washes in 0.06x SSC buffer, each for 2 min at room temperature.
Microarray hybridizations were performed in triplicate for each matched pair of total RNAs, giving a total of nine hybridizations for the comparison of gene transcription in each of the fliK, rpoN, fliA and flgR mutants with that of the wild-type strain.
Data acquisition and analysis.
Slides were scanned with an Affymetrix 418 scanner (MWG Biotech) following the manufacturer's guidelines. Fluorescent spot intensities were quantified using ImaGene 5.5 (BioDiscovery) software. For each spot, background fluorescence was subtracted from the average spot fluorescence to produce a channel-specific value. The data were further analysed using GeneSpring 6.1 (Silicon Genetics) software. The geometric mean of the normalized red : green ratio was calculated for each mutant using data from nine array experiments. Low signal (<100 units in the Cy3 channel) spots were excluded. To determine which genes were over- or underexpressed, a P value of <0.05 was used for testing whether the normalized expression level in each mutant was significantly different from 1.0 by a two-sided one sample t test, using the GeneSpring 6.1 software with correction for multiple testing (Benjamini & Hochberg, 1995).
Analysis of the data allowed identification of gene expression patterns that correlated with function (Brazma et al., 2000). Microarray-derived data may be affected by variables in the experimental protocol such as labelling efficiency, post-labelling purification, hybridization temperature and stringency of washes. Therefore three biological and three technical replicates were performed to produce nine datasets, and the data analysed searchingly to establish statistical significance. Fully annotated microarray data have been deposited in µG@Sbase (accession no. E-BUGS-50; ) and also ArrayExpress (accession no. E-BUGS-50) in accordance with MIAME requirements (Brazma et al., 2001). Gene lists are available as supplementary information (see Supplementary Table S1 available with the online version of this paper), for genes showing twofold or greater changes in the mutants analysed after filtering, as described above.
RNA extraction and cDNA synthesis for real-time PCR.
Cultures were grown to mid-exponential phase, according to the protocol described for the microarray experiments, and RNA was extracted similarly with an additional 1 h off-column DNase digestion step at 37 °C and an additional RNA clean-up step to minimize genomic DNA contamination. Total RNA was converted to cDNA using random hexanucleotide primers and Superscript II reverse transcriptase (Invitrogen), according to the manufacturer's protocol.
Relative quantification of gene expression using SYBR Green Real-Time PCR.
Specific primers for real-time PCR (Table 2) were designed using Primer Express software (Applied Biosystems). Aliquots of cDNA (3 µl) were used as templates for real-time PCR. The positive control was the supernatant extracted after centrifugation of whole cells of NCTC 11168 boiled for 10 min. An optical 96-well microtitre plate (Applied Biosystems) was used with a 25 µl reaction volume consisting of 2xRainbow SYBR Green Master Mix (Bioline), 50 nM gene-specific primers, and the template. An ABI Prism 7000 Sequence Detector (Applied Biosystems) was programmed for an initial step of 10 min at 95 °C, followed by 40 cycles of 15 s at 95 °C and 1 min at 60 °C. SYBR Green technology detects double-stranded DNA so melting curves were used to monitor specificity. Gene expression levels were determined relative to a reference group using the 2–ΔΔCT method and gyrA as the internal control gene (Livak, 1997; Livak & Schmittgen, 2001). Signal intensity from genomic DNA contamination was monitored using RT-negative cRNA reactions as the template for real-time PCR.
Table 2. Primers used for qRT-PCR
Electron microscopy.
Cultures were grown for 24 h on Mueller–Hinton agar and suspended in 50 µl 1.5 % (w/v) potassium phosphotungstate in water (pH 7.0) or in 1 % (w/v) ammonium molybdate with 70 µg ml–1 bacitracin (Sigma) to just visible turbidity. Samples were immediately applied to Formvar-coated copper grids (200 mesh), and excess liquid was removed by blotting with clean filter paper before drying in air and examination in a JEOL 1200 EX transmission electron microscope at an accelerating voltage of 80 kV.
Flagellar preparation and protein analysis.
Mueller–Hinton agar cultures (24 h) were suspended to OD600 3 and subjected to shearing by high speed blender (IKA Ultra-Turrax) for 2 min at top speed. Flagella were purified by removal of cells and gross debris by centrifugation at 3000 g for 10 min at 4 °C, treatment with 1 % Triton X-100 to solubilize membrane material, and ultracentrifugation at 100 000 g for 1 h to recover flagellar filaments. Preparations were analysed by SDS-PAGE, and one gel was stained with colloidal Coomassie blue (Bio-Rad) while the other was Western-blotted with detection by a flagellin-specific mAb N2D2 raised with flagellar antigen prepared from C. jejuni strain 81116.
For mass spectrometric identification of the 90 kDa protein, the band was excised and cut into ∼0.5 mm cubes for processing. The trypsin digestion protocol included reduction (10 mM DTT) and alkylation (55 mM iodoacetamide) steps prior to digestion (6–10 ng trypsin µl–1). Peptides were extracted with 1 % (v/v) formic acid and 2 % (v/v) acetonitrile and dried with matrix for MALDI-TOF analysis (Bruker Daltonics Biflex IV). Peptide masses were obtained and protein identification performed using the Mascot Peptide Mass Fingerprint program at with a mass cut-off of 100 p.p.m.
Identification and characterization of a candidate fliK geneA transposon mutant in Cj0041 was non-motile (Golden & Acheson, 2002), and a strong predicted σ54-dependent canonical promoter element is associated with its closely linked upstream ORF Cj0040 (see section on promoter prediction below). Hence, Cj0041 was identified as a candidate σ54-dependent flagellar gene. Cj0041 showed significant sequence similarity to Helicobacter pylori (HP0906), which was previously shown to encode a FliK homologue of which only a small domain near the C terminus showed a marginally conserved amino acid sequence compared with known FliK sequences (Ryan et al., 2005). Knockout deletion/insertion mutants in Cj0041 were created in strains NCTC 11168 and 81116, with kanamycin-resistance cassettes inserted in both orientations. All four mutants showed a polyhook phenotype (Fig. 1a), similar in appearance to that of fliK mutants in S. enterica serovar Typhimurium (Hirano et al., 1994). The identical phenotypes of mutants in different backgrounds with insertions in opposite orientations, and the presence of a separate predicted σ54-dependent promoter (see Table 1 and below) for the downstream operon flgD-flgE2, which is likely to preclude polar effects, indicate that this phenotype is attributable to the deletion of Cj0041. In addition, the product of the downstream gene flgD (hook-capping protein) would be required for polyhook formation and must therefore be expressed in the mutants, confirming that there is no polar effect on downstream transcription in these mutants. We therefore propose that Cj0041 encodes a FliK protein.
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Table 1. High-scoring predicted σ54-dependent promoters located in intergenic regions (with the exception of Cj0062c) and oriented towards the downstream ORF Changes in expression in the fliK mutant are shown for those genes that showed a twofold or greater increase relative to wild-type.
In addition to the polyhook structures, long, generally straight flagella-like structures were apparent, sometimes including kinks or knots of typical hook-like radius or more complex knots and twisted or braided portions (Fig. 1b–e). Others had a polyhook structure at the base and a straight distal portion, and structures alternating from straight to curved and back to straight were also seen (Fig. 1e). We did not observe transitions in width or fine structure between straight and curved portions of these structures (Fig. 1e), suggesting that they do not represent the polyhook-filament structures reported in pseudorevertants of fliK mutants in S. enterica serovar Typhimurium (Hirano et al., 1994). Flagella of normal curvature were absent. In contrast, in the wild-type strain (Fig. 2) normal flagella are shown for comparison, and the discontinuity in fine structure between hook and filament is apparent at high magnification (Fig. 2b).
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Characterization of polyhooks and associated flagella-like structures
Preparations were made of the filamentous structures from cultures of fliK (Cj0041) mutants by shearing, detergent treatment and differential centrifugation, and analysed by SDS-PAGE, Western blotting and protein identification by mass spectrometry. SDS-PAGE of wild-type cells revealed the expected flagellin band of about 62 kDa, as confirmed by Western blotting with an anti-flagellin mAb. However, this band was substantially decreased in the mutant flagellar preparations (Fig. 3), in which a significant protein band of about 90 kDa was present, especially in strain 81116, but also visible in NCTC 11168 (lanes 6 and 7). Excision of this band and analysis by tryptic peptide MALDI-TOF mass spectrometry confirmed its identity as FlgE, the product of Cj1729c, the functional hook protein in C. coli and C. jejuni (Kinsella et al., 1997; Luneberg et al., 1998); 27 peptide masses matched those predicted, comprising 58 % of the total predicted amino acid sequence. We therefore propose that the filamentous structures seen in the mutant are composed predominantly of FlgE protein.
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Microarray analysis of flagellar gene expression in fliK mutant cells
Identification of the flagellar biogenesis control protein FliK enabled investigation of its influence at the checkpoint where flagellar gene expression switches from σ54-dependent (rod, hook) to σ28-dependent (filament). We reasoned that deletion of fliK had prevented the switch in secretion specificity from hook to filament proteins. Furthermore, based on the results shown in Fig. 3 as well as the presence of extensive polyhooks, there was clearly overexpression of hook protein in the mutants. Thus, failure to pass the hook basal body to filament checkpoint in secretion specificity means that σ54-dependent FlgE expression, normally a transient phase of the flagellar biogenesis sequence, persists at a high level. We postulated that this is likely to be at least in part dependent on a high level of transcription. Only one σ54-activator protein of the NtrC family, essential for σ54-dependent transcription (Buck et al., 2000), is predicted from the genome sequence of C. jejuni. Hence, overexpression of σ54-dependent genes must extend throughout the genome in this mutant, providing a tool for definition of the σ54-dependent regulon by microarray analysis.
Transcription in wild-type and fliK mutant cells (strain NCTC 11168, cassette insertion in same orientation as Cj0041) was analysed. Overall, relative to the wild-type, 352 genes were significantly upregulated by at least twofold (see supplementary tables) and 110 were down-regulated in the fliK mutant, indicating a substantial perturbation of global gene expression. Data relating to flagellar genes are summarized in Table 3 column 3. Known and putative flagellar genes are identified as follows: Cj0041, fliK; Cj0063c, flhG [nomenclature corresponding to that of its orthologue in Vibrio parahaemolyticus (Kim & McCarter, 2000)]; Cj0793, flgS (Hendrixson & DiRita, 2003); Cj0887c, flgL (Guerry et al., 2000); Cj1024, flgR (Jagannathan et al., 2001); Cj1464, flgM (Pallen et al., 2005); Cj1465, flgN (Pallen et al., 2005); and Cj0697 (annotated as flgG2), flgF (Loong Chan et al., 1998). Sequence analysis suggests that Cj1463, located downstream of the predicted flgI, resembles the N-terminal domain of known flgJ sequences (Pallen et al., 2005). The translated sequence lacks the amidase 4 C-terminal domain (Pfam accession no. PF01832) believed to be involved in peptidoglycan hydrolysis by the FlgJ protein, but leaves intact the postulated rod-capping domain (Hirano et al., 2001), and we therefore propose that Cj1463 corresponds to flgJ.
Table 3. Summary of microarray data showing flagellar genes up- (+) or down- (–) regulated in the knockout mutants shown, based on a minimum twofold change and significance at P>0.05 Genes that showed no changes in any of the mutants are not listed. NC, No change observed; Invalid, genes that were knocked out in these mutants did not give a meaningful signal due to deletion of much of the coding sequence and the presence of the resistance marker. [–] or [+], statistically significant changes in gene expression of less than twofold were seen.
The data in Table 3 show that rod and hook component genes were upregulated in the fliK mutant, as were several regulatory genes and related gene clusters. Of 26 genes, representative of 18 contiguous clusters, that showed more than an eightfold increase in transcription in the fliK mutant, 21 were flagellar genes or were related to flagellar function (Table 4). The most highly expressed, with a 60-fold increase over wild-type, was Cj1729c, flgE. Other upregulated genes included Cj0793, encoding the two-component sensor histidine kinase FlgS (Hendrixson & DiRita, 2003); the gene cluster Cj0062c-fliA-fliM-fliY, which includes fliA encoding σ28; and the cluster flgI-flgJ-flgM-flgN-flgL, although in this cluster flgM (Cj1464) showed less than a twofold change. The remaining flagellar structural genes were unaffected, as was rpoN encoding σ54. Cj1024 encoding FlgR was only weakly expressed, and no major change was seen in the signal. Cj0041 appeared to be down-regulated. However, this is likely to be an artefact of the deletion of the coding sequence, since upstream gene Cj0040, which appears to be co-transcribed, was upregulated.
Table 4. Genes showing more than eightfold transcription increase in the fliK knockout
Confirmation of microarray data by quantitative real-time PCR (qRT-PCR)
Each assay was done in triplicate on selected transcripts in the fliK mutant compared with the wild-type strain, and repeated on separate occasions with three different biological samples. Representative data are shown in Fig. 4, and confirm that large changes (greater than threefold) revealed by microarray analysis are matched in qRT-PCR assays. This was the case for flgK, flgE, flgD and flgI. For the early genes fliI and flhF, no statistically robust change was evident, again verifying microarray data. For flgM, no significant change was seen, despite changes in adjacent genes flgI and flgK, reflecting the minimal change seen in the microarray data and demonstrating that a carefully replicated and analysed microarray experiment is capable of greater discrimination than real-time PCR when values are below the twofold cut-off.
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Prediction of promoters for alternative sigma factors involved in flagellar gene expression
The microarray and real-time data described above identified a clear σ54-dependent regulon in C. jejuni. We therefore searched the genome for σ54-dependent promoter sequences using the PromScan program. High-scoring potential promoter sequences (score of 83 or more) were found in 67 locations (see Supplementary Table S2), of which 15 were in non-coding regions and in the same orientation as an adjacent gene (Table 1). These sequences from C. jejuni had the consensus 5'-TTGGAACACTTTTTGCT-3' sequence, similar to that of σ54-dependent promoter sequences of a wide range of bacteria (Table 1) (Barrios et al., 1999). Strikingly, 11 of the 15 high-scoring, intergenic potential promoters were upstream of genes or gene clusters associated with flagellar motility, and seven of these were associated with 18 genes or gene clusters that were eightfold or higher overexpressed in the fliK knockout mutant by microarray analysis (Table 4).
Sequences similar to the E. coli σ28 consensus sequence 5'-TAAAGTTT-N11-GCCGATAA-3' (Ide et al., 1999; Park et al., 2001) were identified upstream of flgM (5'-TTAAGTTT-N11-GTCGATAT-3'), the flaG-fliD-fliS cluster (5'-TTCATAAA-N11-GTCGATAT-3'), and the flaA gene (5'-TAAAATAT-N11-CACGATAT-3'), the latter resembling in position and sequence those identified previously for C. coli (Guerry et al., 1991) and C. jejuni (Nuijten et al., 1990). The σ70 –10 consensus sequence, TATAATT and –35 consensus sequence, 5'-TTTAAGTNTT-3' (Wosten et al., 1998), were identified for eight other flagellar genes: fliA, fliF, fliL, fliN, fliP, fliQ, flhA and flhB.
Microarray analysis of transcription in previously described flagellar regulatory mutants
Microarray analysis of the knockout mutants described previously (Jagannathan et al., 2001) in σ54, its cognate activator FlgR, and σ28 indicated extensive changes (Table 3, columns 4–6) in flagellar gene expression in the regulatory mutants compared to the wild-type strain. Flagellar genes that did not show significant changes in levels of expression in any of the mutants are not listed. The data show that many flagellar genes, mainly rod- and hook-associated, can be categorized as σ54/FlgR-dependent (expression is decreased in one or both of these mutants). Almost all of the genes that were upregulated in the fliK mutant were reciprocally down-regulated in rpoN and/or flgR mutants, thus providing experimentally independent confirmation of the influence of σ54-dependent regulation in determining the expression changes observed in the fliK mutant. Genes that were down-regulated in the fliA mutant corresponded largely with the predicted presence of σ28-dependent promoters, for flaA, flaG, fliDS and flgM.
The analysis of proteins in preparations of the filamentous structures seen in Fig. 2 showed that the predominant protein was FlgE, which, since the majority of the filamentous structures were of the straight form, must therefore be present in both the curved and straight structures seen. There was also a smaller amount of flagellin protein, its identity confirmed by Western blot analysis. The filamentous structures we report occasionally showed the alternation of straight filaments with a curved form with radius approximating that of the flagellar hook, then back to the straight structure, in the absence (Fig. 1e) of any alteration in width or fine structure normally associated with the hook–filament transition. It is known that the switch in export specificity from hook to filament components in S. enterica serovar Typhimurium is irreversible, resulting from cleavage of FlhB upon activation of the export switch (Hirano et al., 2005; Minamino & Macnab, 2000); this implies that export-specificity reversal to produce alternating hook-like and filament-like structures is not possible. We conclude that there are alternate modes of packing of the FlgE protein into either hooks/polyhooks or straight filaments. However, in C. jejuni, as in many other genera, there is both a second partial fliK-like gene (Cj0849c) and an upstream gene, Cj0848c, proposed to be named flhX, and predicted to encode a small protein that is homologous to the C-terminal domain of FlhB (Pallen et al., 2005), and we cannot preclude some degree of dual secretion of FlgE and flagellin that might be mediated by the products of these genes. We cannot confirm at present whether the flagellin protein detected by Western blot analysis is FlaA or FlaB, either by Western blot or from transcription data, due to similarities in their antigenicity and sequence, but the σ54-dependence of flaB expression would be compatible with this flagellin being FlaB. We have no evidence of the possible role or location of this flagellin in the structures seen.
The reciprocal datasets we have obtained, in which genes that are overexpressed in the fliK mutant are underexpressed in the regulatory mutants in flgR and rpoN, provide experimentally independent verification of the σ54-dependent regulon, further confirmed for selected genes by qRT-PCR. Our microarray data do not show changes in early genes in the expression cascade (Chilcott & Hughes, 2000) that are not associated with the alternative sigma factors. These genes include those encoding the MS ring and export apparatus. Our data show, however, that rod and hook genes associated with the middle σ54-dependent level of expression, are clearly identified by their substantial upregulation in the fliK mutant and clear down-regulation in rpoN and flgR mutants. Genes in the final late stage of the expression cascade are down-regulated in fliA mutants; in some cases, e.g. flaG, these are also down-regulated in rpoN and flgR mutants. This is presumably because they require σ28 for transcription, and the activity of σ28 is predicted to be dependent on completion of the σ54-dependent hook structure and consequent export of FlgM, thus being indirectly dependent on σ54. These genes are distinguished not because they lack σ54-dependency, but because they are σ28-dependent. Confirmatory evidence for their independence of σ54 is provided by their unchanged level of transcription in the fliK knockout. The regulator flgM is now shown to be significantly dependent on σ28, but also co-transcribed with flgI from its σ54-dependent promoter.
The overexpression of rod/hook-associated, σ54-dependent genes in the fliK mutant suggests a specific and powerful (but presumably transient in the wild-type) activation of σ54-dependent genes triggered by an unknown signal that presumably relates to completion of the earlier MS ring/export pathway structures. Furthermore, after progression through the checkpoint that controls progression from σ54-dependent to σ28-dependent, there is clearly a specific down-regulation, or a termination of their prior activation, of σ54-dependent genes (the absence of this process in the fliK mutant leads to locked-on overexpression of these genes). We postulate that both these changes may result from activation of σ54, leading to transcription of σ54-dependent genes at an early stage in flagellar biogenesis, signalled by an unknown mechanism, upon completion of the MS ring and export pathway components, a structure which is encoded by genes that are not σ54-dependent. We postulate that upon addition of the rod and hook structures, the signal ceases, leading to termination of σ54-dependent gene activation. However, the aberrant outcome of hook construction in the fliK mutant argues that its gene product too must play a part in termination of σ54-dependent gene expression. Thus, in cells that progress flagellar growth to completion of a normal-length hook but no further (e.g. the fliD and fliS knockout mutants that we have constructed that express hooks without filaments; unpublished data), hook overexpression (polyhook formation) is prevented, presumably by a mechanism dependent on normally functioning FliK at the completion of the hook. Alternatively, it could be postulated that the key to down-regulation of σ54-dependent genes after hook completion is expression of a σ28-dependent gene product. This might be prevented in fliK mutants because in the absence of a switch in export-pathway specificity, export of FlgM and hence activation of σ28 could not occur. However, the phenotype of fliA deletion mutants is not the expression of a polyhook (Jagannathan et al., 2001); hence, this suggestion appears incorrect. Possibly intracellular accumulation of FliK following hook completion [there is evidence that it is secreted maximally to the exterior prior to hook completion in S. enterica (Minamino et al., 1999)] may have a direct effect on transcription of class III genes, for instance via an anti-activator effect on FlgR or even a direct anti-σ54 effect, thus shutting down class III gene transcription, as also suggested for flgE expression by Hirano et al. (2005).
The observation that transcription of fliA, encoding σ28 and other genes in the Cj0062c-fliY gene cluster, appears from the fliK mutant experiment to be σ54-dependent is novel; these genes were earlier predicted to be transcribed from a σ70-dependent promoter (Carrillo et al., 2004; Wosten et al., 2004). Transcription is presumably initiated from the apparent σ54-dependent canonical promoter element located upstream of Cj0062c and within the coding sequence of Cj0063c (flhG) (Table 3). This transcription unit would not include Cj0063c (flhG) or Cj0064c (flhF). There is, however, contradictory evidence from the microarray data derived from the fliA and flgR mutants regarding control of flhF, flhG, fliM and fliY expression, and we are currently attempting to clarify the transcription regulation of this region. The expression of transcripts of fliA in the fliK mutant suggests that σ28 protein would be available prior to completion of the hook structure. Hence, either expression of flagellin and other filament-related proteins potentially commences at this time, or FlgM is indeed active in inhibiting σ28 activity prior to hook completion, contrary to the reservations of Hendrixson & DiRita (2003).
We note that flaG, encoding a flagellin-like protein of unknown function, echoes almost exactly the transcription pattern of the other flagellins; this is compatible with the prediction of both σ28-dependent and σ54-dependent promoters upstream (see above), but conflicts with the data for fliDS, which appear to be in the same transcription unit, and there is also contradiction in the lack of reciprocal upregulation of flaG in the fliK mutant. Furthermore, Carrillo et al. (2004) have reported that in a fliA deletion mutant, transcription of flaG, like that of fliDS, is abolished, indicating that only the σ28-dependent promoter is active, and this is more compatible with our observations on transcription of fliDS. We conclude that the apparent down-regulation of flaG in the flgR and rpoN knockouts may be artefactual, possibly due in the case of the flgR mutant to some cross-reactivity of probes between flaG and the other flagellin genes. We note that our data (see supplementary tables) indicate strong σ28-dependency for Cj0977, as reported by Carrillo et al. (2004) and recently implicated in the virulence of strain 81-176 (Goon et al., 2006).
Genes of the flagellar modification region, including Cj1293– Cj1298 (this correlates with the σ54-dependent promoter for this region reported by Goon et al., 2003), Cj1320, and Cj1324 to Cj1344c, were all upregulated in the fliK mutant, with the striking exception of the flagellin genes flaA and flaB (see Table 3 and supplementary tables). Genes in the Cj1293– Cj1298 cluster have recently been strongly implicated in synthesis of sugars involved in flagellin glycosylation (Obhi & Creuzenet, 2005), and detailed analysis in strain 81176 has further defined the functions of many of the remaining genes (Guerry et al., 2006). Thus, a strong case can be made for co-regulation of flagellin-modification genes with the rod and hook genes described above, implying that the flagellin glycosylation mechanism may be assembled at some point after the export machinery is installed, and possibly at the same time as rod and hook construction. The flagellin gene data, however, are difficult to interpret due to cross-hybridization between flaA and flaB probes (see above), and it is possible that overexpression of flaB compensates for down-regulation of flaA. Other genes upregulated in the fliK mutant include many of the capsular polysaccharide genes in the region from Cj1424c to Cj1444c, suggesting co-regulation of flagella and capsule, which together form a significant fraction of the virulence-associated surface structure of the organism. Also upregulated in the fliK mutant are heat-shock genes associated with protein misfolding and degradation (hrcA, grpE, dnaK, htrAB and clpA), and genes associated with the stringent response, typified by Cj1272c, a spoT homologue (Gaynor et al., 2005). These changes are consistent with a stress-related response to misdirection of the assembly of the flagellum.
Application of the promoter prediction algorithm to the entire genome including coding regions revealed large numbers of probably falsely identified promoter-like sequences. However, for putative σ54-dependent promoters in intergenic locations, the method appears to have been highly successful in that many of the most strongly responsive signals in the microarray analyses correlated with high-scoring promoter predictions (Table 4). In addition to the intergenic promoters identified, high-scoring putative σ54-dependent promoter sequences were identified within coding regions, including one within Cj0063c, which correlates with the observed increased expression in the fliK mutant of the Cj0062c–Cj0059c (fliA) gene cluster (see above). The consensus sequence for σ54-dependent promoters, 5'-TTGGAACACTTTTTGCT-3', that we now correlate with gene expression data further supports the predicted consensus described by Carrillo et al. (2004). We have now also obtained confirmatory experimental evidence by 5' rapid amplification of cDNA ends (RACE; unpublished results) of transcript initiation at representative predicted promoters of both σ54- and σ28-dependent classes.
In this study we have identified and characterized the important checkpoint component FliK, highlighting the role of this protein in the switching of transcription from rod-hook genes to filament-associated genes, and delineating a single σ54-dependent regulon. Further studies are required to elucidate the control of gene expression in the early stages of flagellar biogenesis in C. jejuni, and also to explore the significance of σ54-dependent expression of other genes, including those involved in flagellin modification.
We acknowledge the Darwin Trust of Edinburgh (N. K., A. J.) for studentships, the Biotechnology and Biological Sciences Research Council (grant 6/D14520, S. M. T.; grant D15819, N. D.; grant 6/EGA16107, C. C.), and the Wellcome Trust (G. M., J. H., K. G. L., B. W. W.) for funding. We thank Shin-Ichi Aizawa for helpful discussions of the structure of the FlgE filaments described.Edited by: J. G. Shaw
Footnotes
,†,Supplementary tables listing the mutant genes up- or down-regulated by more than twofold compared with the wild-type and potential σ54-dependent promoters in C. jejuni are available with the online version of this paper.
The array design is available in µG@Sbase (accession no. A-BUGS-8; ) and also ArrayExpress (accession no. A-BUGS-8).
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Received 22 February 2007; revised 23 May 2007; accepted 27 May 2007.