Skip to main content
  • Research article
  • Open access
  • Published:

Phenotypic and Genomic Analysis of Hypervirulent Human-associated Bordetella bronchiseptica



B. bronchiseptica infections are usually associated with wild or domesticated animals, but infrequently with humans. A recent phylogenetic analysis distinguished two distinct B. bronchiseptica subpopulations, designated complexes I and IV. Complex IV isolates appear to have a bias for infecting humans; however, little is known regarding their epidemiology, virulence properties, or comparative genomics.


Here we report a characterization of the virulence of human-associated complex IV B. bronchiseptica strains. In in vitro cytotoxicity assays, complex IV strains showed increased cytotoxicity in comparison to a panel of complex I strains. Some complex IV isolates were remarkably cytotoxic, resulting in LDH release levels in A549 cells that were 10- to 20-fold greater than complex I strains. In vivo, a subset of complex IV strains was found to be hypervirulent, with an increased ability to cause lethal pulmonary infections in mice. Hypercytotoxicity in vitro and hypervirulence in vivo were both dependent on the activity of the bsc T3SS and the BteA effector. To clarify differences between lineages, representative complex IV isolates were sequenced and their genomes were compared to complex I isolates. Although our analysis showed there were no genomic sequences that can be considered unique to complex IV strains, there were several loci that were predominantly found in complex IV isolates.


Our observations reveal a T3SS-dependent hypervirulence phenotype in human-associated complex IV isolates, highlighting the need for further studies on the epidemiology and evolutionary dynamics of this B. bronchiseptica lineage.


Human pathogens often evolve from animal reservoirs, and changes in virulence sometimes accompany acquisition of the ability to infect humans [1]. Examples include smallpox virus, HIV, enterohemorrhagic E. coli, and Bordetella pertussis. Understanding how these events occur requires the ability to reconstruct evolutionary history, and this can be facilitated by the identification of evolutionary intermediates. An experimentally tractable opportunity to study human adaptation is provided by Bordetella species. The Bordetella genus currently includes nine closely related species, several of which colonize respiratory epithelial surfaces in mammals. B. pertussis, the etiological agent of pertussis (whooping cough) is exclusively adapted to humans; B. parapertussis refers to two groups, one infects only humans and the other infects sheep [2, 3]; and B. bronchiseptica establishes both asymptomatic and symptomatic infections in a broad range of mammalian hosts, which sometimes include humans [47]. Numerous studies have implicated B. bronchiseptica as the closest common ancestor of human-adapted bordetellae, with B. pertussis and B. parapertussis hu , evolving independently from different B. bronchiseptica lineages [810]. The genomes of these 3 species differ considerably in size and B. pertussis and B. parapertussis have undergone genome decay, presumably as a consequence of niche restriction [6].

Most mammalian bordetellae express a common set of virulence factors which include putative adhesins such as filamentous hemagglutinin (FHA), fimbriae, and pertactin, and toxins such as a bifunctional adenylate cyclase/hemolysin, dermonecrotic toxin, and tracheal cytotoxin. B. pertussis additionally produces pertussis toxin [7]. Of particular significance here is the bsc type III secretion system (T3SS) locus which encodes components of the secretion machinery, associated chaperones, and regulatory factors. Remarkably, only a single T3SS effector, BteA, has been identified to date [1113]. BteA is an unusually potent cytotoxin capable of inducing rapid, nonapoptotic death in a diverse array of cell types [1416]. T3SS and bteAloci are highly conserved in B. pertussis B. parapertussis, and B. bronchiseptica[14, 15].

A seminal phylogenetic analysis using multilocus sequence typing (MLST) of 132 Bordetella stains with diverse host associations led to the description of a new B. bronchiseptica lineage, designated complex IV, which differs in several respects from the canonical complex I B. bronchiseptica cluster [10]. Complex I strains are most commonly isolated from non-human mammalian hosts, whereas the majority of complex IV strains were from humans, many with pertussis-like symptoms. Complex IV strains were found to exclusively share IS1663 with B. pertussis, suggesting a close evolutionary relationship among these lineages. Complex IV strains and B. pertussis are proposed to share a common ancestor, although the genes encoding pertussis toxin (ptxA-E) and the ptl transport locus were found to be missing in the majority of complex IV strains that were sampled [10]. Additionally, several other B. pertussis virulence genes were also found to be absent or highly divergent, including those encoding dermonecrotic toxin, tracheal colonization factor, pertactin, and the lipopolysaccharide biosynthesis locus. Differences between virulence determinants expressed by B. pertussis and complex IV strains have been suggested to be driven by immune competition in human hosts [10], a model also proposed for differences observed between B. pertussis and B. parapertussis hu [17].

Given their apparent predilection of complex IV B. bronchiseptica isolates for human infectivity, we have initiated a systematic analysis of their virulence properties and mechanisms. We found that complex IV strains, on average, display significantly elevated levels of cytotoxicity in comparison to complex I isolates. Several complex IV strains are also hyperlethal in mice, and hyperlethality in vivo as well as cytotoxicity in vitro is dependent on the BteA T3SS effector protein [11, 12]. Comparative whole-genome sequence analysis of four complex IV isolates was used to identify similarities and differences between B. bronchiseptica lineages. Results from genome comparisons did not identify significant genomic regions that are unique to complex IV strains but missing from complex I isolates. This implies that complex IV-specific phenotypes are determined by polymorphisms in conserved genes, differential regulation [18], or other epigenetic mechanisms rather than acquisition or retention of unique genomic determinants.


Bacterial strains and growth conditions

Strains and plasmids used in this study are listed in Table 1. Bacteria were grown in Stainer-Scholte liquid (SS) medium at 37°C [19] or on Bordet–Gengou (BG) agar (Becton Dickinson Microbiology systems) supplemented with defibrinated sheep blood at a concentration of 7.5% and incubated at 37°C. RB50 [20] was grown from archived, low passage, frozen glycerol stock. Antibiotics were added to the following final concentrations: ampicillin (Ap), 100 μg/ml; chloramphenicol (Cm), 25 μg/ml; Streptomycin (Sm), 20 μg/ml; Kanamycin (km), 50 μg/ml; Gentamycin (Gm), 20 μg/ml.

Table 1 Bacterial strains, mammalian cells and plasmids used in this study

Sample preparation, protein electrophoresis and immunoblotting

For SDS-polyacrylamide gel electrophoresis (SDS-PAGE) sample preparation, bacteria were cultured in SS media overnight and harvested by centrifugation at 10,000 x g at 4°C for 10 min. The resulting supernatant, containing secreted proteins, was filtered through a 0.2-μm membrane to remove contaminating bacterial cells. Protein from supernatants (equivalent of 3.75 O.D.600) was precipitated with 15% trichloroacetic acid (TCA) for 1 h on ice and samples were centrifuged at 15,000 g for 15 min at 4°C. After centrifugation, TCA was removed and the pellet was resuspended in 1 X SDS-loading dye with 25 mM freshly prepared DTT. To neutralize the acidic pH of the samples, a few crystals of tris-base were added. Protein pellets were dissolved by shaking over a bench-top shaker for 30 min at room temperature prior to fractionation by various fixed percentage or gradient (as indicated) pre-cast SDS-polyacrylamide gels (Bio-Rad). The pellet samples after normalization to 12.5 O.D.600/ml, were boiled for 10 min in 1 x SDS-loading dye as above. After the run, proteins were either Coomassie stained or transferred onto a polyvinylidene difluoride (PVDF) membrane (Immobilon P, Millipore) using a semi-dry blot. BvgS, a non-secreted protein control was detected using polyclonal mouse antiserum at a dilution of 1:1000 [21]. Pertactin (PRN), which is secreted by a non-T3SS dependent pathway, was identified using a monoclonal mouse antibody at a dilution of 1:1000 [22]. Bsp22, a T3SS substrate control, was detected using polyclonal mouse serum at a dilution of 1:10,000 [23]. Immunodetection was carried out by chemifluorescence using horseradish peroxidase-labeled goat anti-mouse IgG and the ECL plus® detection substrate (GE Healthcare). Chemifluorescent signals were visualized using a Typhoon scanner (GE Healthcare).

Genomic DNA extraction, PCR-based detection and genome sequencing

DNA was extracted from overnight cultures of various isolates using the PureLink genomic DNA kit as per manufacturer’s instructions (Invitrogen Corporation, USA). PCR was performed according to the manufacturer's instructions (0.5 U of iproof polymerase, 200 μM each of the four dNTPs and 1 μM each primer) and supplemented with 3% dimethyl sulphoxide (DMSO). Primers B77_QseC1F (5- ATGACTTTGCAGCGCAGGTT −3) and B77_QseC1R (5- AGAAACGCGATCAGCACGGG −3) or primers B77_QseC2F (5- GGAGATCTTGCCGTCGCCAT-3) and B77_QseC2R (5-ACTTCCCATTGCGCGCGTAG-3) were used to amplify qseC sequences, and primers B77_QseB1F (5- GAGAATTCTTATTGTCGAAG-3) and B77_QseB1R (5- GATTCCCAGTCATACAGCTT −3) were used to amplify qseB. Cycling parameters were: one cycle of 98°C for 1 min; 25 cycles of 98°C for 10 s, 55°C for 20 s and 72°C for 30 s; and a final incubation at 72°C for 5 min. The PCR products were fractionated on 1% agarose gel using 1X TBE buffer containing 5 μg/ml ethidium bromide. PCR products of the extracted DNA were then purified for sequencing using Qiagen's QIAquick purification kit (Qiagen, Valencia, USA). Bordetella genomes were sequenced by the Sequencing Group at the Sanger Center and can be obtained from

Construction of bscN and bteAin-frame deletion mutants

To construct in-frame deletions of codons 171–261 in the bscN locus, allelic exchange was performed using pEGBR1005 suicide plasmid derivatives as previously described by Yuk et al. [15]. For construction of bteA in-frame deletions (codons 4–653), suicide plasmid pRE112-bteA was used as previously described by Panina et al. [11]. All mutants were verified by sequencing target open reading frames.

Cell lines

Cell lines used in this study were obtained from the American Tissue Culture Collection (ATCC). Human Cervical Adenocarcinoma, HeLa (ATCC CCL-2TM) and Mouse Monocyte-macrophage, J774A.1 (ATCC TIB-67TM) cell lines were maintained in Dulbecco's Modified Eagle Medium(DMEM), and Human Lung Carcinoma, A-549 cells (ATCC CCL-185TM) were maintained in Ham’s F-12 K medium (F-12 K) supplemented with 10% Fetal bovine serum (FBS) at 37°C with 5% CO2.

Cytotoxicity assays

Bacteria were cultured in SS media overnight and were then sub-cultured in SS media to an optical density of ~0.5 at 600 nm. For cytotoxicity assays, bacteria were added to previously seeded cell monolayers in 12- or 24-well tissue culture plates at the indicated MOIs. The plates were centrifuged for 5 min at 60 x g and incubated for up to 4 h at 37°C with 5% CO2. To measure cell cytotoxicity, Lactate dehydrogenase (LDH) release was used as a surrogate marker for cell death. LDH release in the supernatant media was assayed using a CytoTox 96® non-radioactive cytotoxicity assay kit (Promega, Madison, WI), according to the manufacturer's instructions. The maximal LDH release was defined as 100% and was determined by adding lysis solution to uninfected monolayers, determining the absorbance at 490 nm, and then subtracting the background value. Each sample was measured in triplicate in at least three independent experiments.

Animal infection experiments

Wild-type female C57BL/6NCr (B6) mice, 4–6 weeks of age, were purchased from Charles River Breeding Laboratories (Wilmington, MA). The animals were lightly sedated with isoflurane (Novation Laboratories, TX) prior to intranasal infection with the indicated number of CFU of bacteria in a total volume of 40 μl of phosphate-buffered saline (PBS, Mediatech Inc, VA). Bacteria were cultured in SS media overnight and were then sub-cultured in SS media to an optical density of ~0.5 at 600 nm. Inocula were confirmed by plating serial dilutions. For survival curves, groups of four mice were inoculated with the indicated dose, and the percent survival was monitored over a 30-day period. Mice with lethal bordetellosis, indicated by ruffled fur, labored breathing, and diminished responsiveness, were euthanized to alleviate unnecessary suffering [24]. To enumerate the number of bacteria in respiratory organs, groups of three to four mice were sacrificed at the indicated time points and bacterial numbers in the lungs and tracheas were quantified by plating dilutions of tissue homogenates on BG plates with appropriate antibiotics, following incubation at 37°C for 2 days. The mean ± the standard error was determined for each group. The statistical significance between different groups was calculated by Student's two-tailed t-test. A significance level was set at P values of ≤0.05. All animal experiments were repeated at least three times with similar results. Murine survival percentage was analyzed with the Log-Rank (Mantel-Cox) test. All mice were maintained in UCLA animal research facilities according to National Institutes of Health and University of California Institutional Animal Care Committee guidelines. Animals were housed under specific pathogen-free conditions with free access to food and water. All experiments were approved by the UCLA Chancellor's Animal Research Committee.

Histopathological analysis

Lungs were inflated with 10% neutral buffered formalin at the time of necropsy. Following fixation, tissue samples were embedded in paraffin, sectioned at 5 μm, and stained with hematoxylin-eosin, Giemsa, and Warthin-Starry for light microscopic examination at the Translational Pathology Core Laboratory of UCLA. Sections were scored for pathology by a veterinarian with training and experience in rodent pathology who was blinded to experimental treatment. The degree of inflammation was assigned an arbitrary score of 0 (normal = no inflammation), 1 (minimal = perivascular, peribronchial, or patchy interstitial inflammation involving less than 10% of lung volume), 2 (mild = perivascular, peribronchial, or patchy interstitial inflammation involving 10-20% of lung volume), 3 (moderate = perivascular, peribronchial, patchy interstitial, or diffuse inflammation involving 20-50% of lung volume), and 4 (severe = diffuse inflammation involving more than 50% of lung volume).

In vitroadherence assays

Human lung epithelial (A549) cells and Human cervical epithelial (HeLa) cells were grown in F-12 K and DMEM medium, containing 10% fetal calf serum on cover slips in standard 12-well tissue culture plates, respectively. Bacteria in their mid-log phase were added to cell monolayers at a MOI of 200 as previously described [25]. The plates were spun at 200 × g for 5 min and then incubated for 15 min at 37°C. The cells were then washed six times with Hanks' balanced salts solution, fixed with methanol, stained with Giemsa stain (Polyscience, Warrington, PA) and visualized by light microscopy. Adherence was quantified by counting the total number of bacteria per eukaryotic cell in at least three microscopic fields from two separate experiments.

Trypsin digestion of polypeptides for mass spectrometry

For secretome analysis by mass spectrometry, bacteria were cultured in SS media overnight and were then sub-cultured in SS media to an optical density at 600 nm of ~1.0. A 5 ml aliquot was removed and centrifuged at 10,000 x g at 4°C for 10 min to remove bacterial cells. The resulting supernatant, containing proteins secreted into the culture medium, was filtered through a 0.2 μm membrane to remove contaminating bacterial cells. The filtered supernatants were then desalted and concentrated using a centrifugal filter device (Amicon Ultra-3 K, Millipore) into ~300 μl of 50 mM ammonium bicarbonate buffer. The samples were reduced by incubation in 10 mM dithiotreitol (DTT) in 50 mM ammonium bicarbonate at 37°C for 1 h. They were then alkylated by adding 55 mM iodoacetamide in 50 mM ammonium bicarbonate and incubated at 37°C in dark for 1 h. Finally, the samples were digested at 37°C overnight with addition of 75 ng trypsin (EC, Promega) in 50 mM ammonium bicarbonate. For in-gel trypsin digestion of polypeptides, a previously described method was used [26].

Nano-liquid chromatography with tandem mass spectrometry (nLC-MSMS)

nLC-MS/MS with Collision Induced Dissociation (CID) was performed on a linear trap quadrupole fourier transform (LTQ FT, Thermo Fisher, Waltham, MA) integrated with an Eksigent nano-LC. A prepacked reverse-phase column (Microtech Scientific C18 with a dimension of 100 μm x 3.5 cm) containing resin (Biobasic C18, 5-μm particle size, 300-Å pore size, Microtech Scientific, Fontana, CA) was used for peptide chromatography and subsequent CID analyses. ESI conditions using the nano-spray source (Thermo Fisher) for the LTQ-FT were set as follows: capillary temperature of 220°C, tube lens 110 V, and a spray voltage of 2.5 kV. The flow rate for reverse-phase chromatography was 5 μl/min for loading and 300 nl/min for the analytical separation (buffer A: 0.1% formic acid, 1% acetonitrile; buffer B: 0.1% formic acid, 100% acetonitrile). Peptides were resolved by the following gradient: 2–60% buffer B over 40 min, then increased to 80% buffer B over 10 min and then returned to 0% buffer B for equilibration of 10 min. The LTQ FT was operated in data-dependent mode with a full precursor scan at high-resolution (100000 at m/z 400) and six MSMS experiments at low resolution on the linear trap while the full scan was completed. For CID the intensity threshold was set to 5000, where mass range was 350–2000. Spectra were searched using Mascot software (Matrix Science, UK) in which results with p < 0.05 (95% confidence interval) were considered significant and indicating identity. The data was also analyzed through Sequest database search algorithm implemented in Discoverer software (Thermo Fisher, Waltham, MA).

Identification of the core, non-core, and pan-genome of Bordetella

"Core" regions were defined as genome sequences that were present in all 11 Bordetella genomes, while "non-core" regions were defined as genome sequences that are not present in all genomes. RB50 was used as the reference genome. For each of the other 10 sequences, genomes were mapped to the reference genome using Nucmer [27]. All 10 “.coords” output files from the Nucmer program were analyzed to identify overlap regions based on RB50 coordinates using a Perl script. Finally, “core” sequences were extracted based on the genome sequence of RB50 with the coordinates calculated above. Unshared regions were then added to the reference genome to make a “revised” reference genome, which contained the original sequence plus unshared sequences. This process was repeated until all of the genomes were compared to include all unshared sequences included in the pan-genome. The core region was subtracted from the pan-genome of all the 11 genomes, and the remaining regions were identified as non-core regions.

Hierarchical clustering using Cluster and Java Tree View

844 non-core fragments with more than 1000 bp were identified. An 844 row x 11 column matrix, in which 1 means "present" while 0 means "absent" for each non-core region, was entered to the Cluster program ( [28]. Average linkage was used for clustering. The Java Tree View program [28] was used to show the clustering result.


Hypercytotoxicity of complex IV isolates in vitro

Cytotoxicity against a broad range of cell types is a hallmark of B. bronchiseptica infection in vitro[11, 12, 14, 16, 23]. To measure relative levels of cytotoxicity, human epithelial cells (HeLa), murine monocyte-macrophage derived cells (J774A.1), or human pneumocyte-derived cells (A549) were infected with an array of complex I or complex IV B. bronchiseptica isolates (Figure 1A-C). These strains represent different multilocus sequence types (STs), and they were isolated from both human and non-human hosts (Table 1). Lactate dehydrogenase (LDH) release was used as a surrogate marker for cell death, and RB50, an extensively characterized complex I rabbit isolate classified as ST12, was used as a positive control for cytotoxicity [20]. An isogenic RB50 derivative with a deletion in bscN, which encodes the ATPase required for T3SS activity [15], served as a negative control.

Figure 1
figure 1

Cytotoxicity of complex I and complex IV B. bronchiseptica isolates. A. HeLa, B. J774A.1, or C. A549 cells were infected with the indicated strains at a multiplicity of infection (MOI) of 50 in 24-well plates for 3 h. Following infection, release of lactate dehydrogenase (LDH) into culture medium was measured as described in Materials and Methods. Complex I and complex IV strains are designated by blue or red bars, respectively. P values were calculated by an unpaired two-tailed Student's t test.

For HeLa (Figure 1A) and J774A.1 cells (Figure 1B), single time point assays showed a distinct trend, in which complex IV strains displayed higher levels of cytotoxicity than complex I isolates. For A549 cells the results were more dramatic (Figure 1C). Unlike other cell types previously examined [11, 16, 29], A549 cells are nearly resistant to cell death mediated by the RB50 T3SS (see RB50 vs. RB50ΔbscN; Figure 1C). Similarly, other complex I strains displayed little or no cytotoxicity against these cells. In striking contrast, incubation with complex IV isolates resulted in significant levels of cell death (p < 0.0001; Figure 1C). For A549 cells, strains D444 (ST15), D445 (ST17), D446 (ST3) and Bbr77 (ST18) were 10- to 15-fold more cytotoxic than RB50. Parallel assays measuring bacterial attachment to A549 cells did not detect significant differences between complex I and complex IV isolates, indicating that relative levels of adherence are not responsible for the observed differences in cytotoxicity (Additional file 1 Table S1).

Kinetic studies were performed next to increase the resolution of the analysis. We examined relative levels of cytotoxicity conferred by five complex IV strains towards HeLa, J774A.1 or A549 cells as a function of time, using RB50 as a complex I representative strain and RB50ΔbscN as a negative control. Following infection at an MOI of 50, cultures were sampled over a 4 h time period for measurements of LDH release. Using HeLa cells, which are exceptionally sensitive to T3SS-mediated killing, only minor differences were detected between strains (Figure 2A). Although two of the complex IV strains, Bbr77 and D444, displayed slightly elevated cytotoxicity at intermediate time points, all strains reached maximum lysis by the end of the 4 h time course. For J774 cells, differences between complex IV strains and RB50 were apparent throughout the experiment, with Bbr77 and D444 showing the highest levels of activity (Figure 2B). As expected, the most dramatic differences were seen with A549 cells (Figure 2C). Most complex IV strains displayed a marked hypercytotoxicity phenotype compared to RB50, with the exception of Bbr69 which had an intermediate phenotype. Interestingly, Bbr69 is a dog isolate whereas all of the other complex IV strains tested were cultured from human infections.

Figure 2
figure 2

Time course cytotoxicity assays. A. HeLa, B. J774A.1, or C. A549 cells were infected with the indicated strains at a multiplicity of infection (MOI) of 50 in 12-well plates. Aliquots of culture supernatants were removed at the indicated times and lactate dehydrogenase (LDH) levels were measured as described in Materials and Methods. Complex I and complex IV strains are designated by blue or red lines, respectively. Due to repeated sampling of culture medium for LDH release assays, we consistently observe a slight increase in cytotoxicity measured in kinetic experiments vs. single time point assays as shown in Figure 1. The differences range from none to less than 20 %, depending on the cytotoxicity of the isolate. Error bars represent standard errors for measurements from at least three independent experiments.

Roles of the bsc T3SS and the BteA effector in hypercytotoxicity by complex IV B. bronchisepticaisolates

To examine the hypercytotoxicity phenotype in detail, two representative highly toxic complex IV strains of human origin, D445 (ST17) and Bbr77 (ST18), were chosen for further analysis. To measure the contribution of the bsc T3SS, nonpolar in-frame deletions were introduced into the bscN loci of D445 and Bbr77. As shown in Figure 3AbscN mutations eliminated in vitro cytotoxicity against all three cell types, demonstrating an essential role for type III secretion. We next examined the involvement of the BteA effector in hypercytotoxicity. Previous studies have shown that BteA is essential for T3SS-mediated cell death induced by RB50, and it is sufficient for cytotoxicity when expressed in mammalian cells [11]. For both complex IV strains, bteA deletion mutations had a similar effect as ΔbscN mutations and abrogated cytotoxicity (Figure 3A).

Figure 3
figure 3

Roles of the bsc T3SS and the BteA effector in cytotoxicity. A. HeLa (blue bars), J774A.1 (red bars), or A549 cells (green bars) were infected with the indicated strains at a multiplicity of infection (MOI) of 50 in 24-well plates for 3 h. The bteA mutant strains were complemented in trans with the RB50 bteA allele carried on a medium copy vector (see Methods). Following infection, release of lactate dehydrogenase (LDH) into culture medium was measured as described in Methods. B. bteA homologues were compared using multialign [51] and amino acid differences are shown. Green lines indicate substitutions of highly conserved residues, blue shows weakly similar amino acids, red indicates no similarity, cyan dotted lines designate deletion of a residue and pink designates an amino acid insertion. Bp = B. pertussis, Bpp = B. parapertussis, LRT = lipid raft-targeting domain [12].

The BteA proteins expressed by Bbr77 and D445 are identical except for the absence of two amino acids at the extreme carboxyl end of D445 BteA (Figure 3B). In contrast, when compared to RB50 BteA, the complex IV effectors from Bbr77 and D445 differ at 22 or 24 positions, respectively (Figure 3B). Interestingly, BteA sequences from complex IV strains were more closely related to BteA in B. parapertussis hu Bpp12282 than to homologs in B. bronchiseptica RB50 or B. pertussis Tohama I. To determine whether BteA polymorphisms are responsible for differences in cytotoxicity phenotypes, bteA deletion derivatives of all three strains were complemented with the RB50 bteA allele on a medium copy vector (Figure 3A) [11]. In each case, complemented levels of cytotoxicity were similar to those of the wild type isolate. Most importantly, complemented ΔbteA derivatives of strains D445 and Bbr77 regained cytotoxicity against A549 cells, whereas RB50 ΔbteA/pbteA remained non-cytotoxic against this cell line. Taken together, these results demonstrate that the bsc T3SS and the BteA effector are essential for cytotoxicity by D445 and Bbr77. The hypercytotoxicity phenotypes of the complex IV isolates, however, are not due to polymorphisms in BteA. This is consistent with the conserved nature of this effector, both within and between Bordetella species [11]. Differential regulation of T3SS activity, the presence of novel secretion substrates, or alterations in accessory factors could account for phenotypic differences between strains (see Discussion).

T3SS secretome analysis

We next compared polypeptide profiles of proteins secreted into culture supernatants by the isolates examined in Figure 3. Strains D445, Bbr77, and RB50 were grown to early mid-log phase in liquid medium under conditions permissive for type III secretion (Bvg + phase conditions, see Methods) [15]. To specifically identify T3SS substrates, ΔbscN derivatives were examined in parallel. Culture supernatants were TCA-precipitated, digested with trypsin, and separated by reverse-phase nano-liquid chromatography on a C18 column followed by tandem mass spectrometry (nLC-MSMS). Peptide profiles were queried against the RB50 protein database. Nearly identical sets of peptides were detected in supernatants from strains D445, Bbr77 and RB50, and these included peptides corresponding to T3SS substrates previously identified using RB50 (Table 2). Bsp22, which polymerizes to form an elongated needle tip complex [30], BopB and BopD, which form the plasma membrane translocation apparatus [14, 29, 31], BopN, a homolog of Yersinia YscN which functions as a secreted regulator [32], and the BteA effector were present in supernatants from wild type strains, but absent in supernatants of ΔbscN derivatives. In the course of this analysis we discovered a novel T3SS substrate encoded from a conserved hypothetical ORF (BB1639), herein named BtrA, in supernatant fractions from RB50, D445 and Bbr77 but not from their ΔbscN derivatives. Importantly, examination of complex IV secretion substrates failed to identify unique polypeptides that were not expressed by RB50 or did not match the RB50 protein database. The relative amounts of T3SS substrates released into culture supernatants, as assessed by SDS-PAGE and western blot analysis, also failed to correlate with relative levels of cytotoxicity (Additional file 2 Figure S1). Although these observations did not reveal obvious differences in the T3SS secretome that could account for the hypercytotoxic phenotypes of D445 and Bbr77, it is important to consider that the activity of the bsc T3SS and its substrate specificity are regulated at multiple levels, and results obtained using broth-grown cells provide only a crude approximation of T3SS activity during infection (see Discussion).

Table 2 nLC-MSMS secretome analysis

Virulence of complex IV strains during respiratory infections

To determine if relative levels of cytotoxicity measured in vitro correlate with virulence in vivo, we used a murine respiratory intranasal challenge model [24]. Groups of 4–6 week old female specific-pathogen-free C57BL/6NCr mice were intranasally infected with 5 x 105 CFU. At this dose, RB50 establishes nonlethal respiratory infections that generally peak around day 10 post-inoculation and are gradually cleared from the lower respiratory tract, while persisting in the nasal cavity [33].As shown in Figure 4A, complex IV strains segregated into two groups. The first caused lethal infections in some (D444, Bbr77) or all (D445) of the infected animals. The second group (D446, Bbr69) caused nonlethal infections similar to RB50.

Figure 4
figure 4

In vivo characterization of selected complex IV B. bronchiseptica strains. A. Survival of wild-type female C57BL/6NCr (B6) mice inoculated with different strains of B. bronchiseptica. Groups of four mice were intranasally inoculated with 5 x 105 CFU of the indicated strains in 40 μl volumes as described in Methods. B. Female C57BL/6NCr (B6) mice were infected as above and sacrificed 3 days later. Lungs were removed, homogenized in sterile PBS, and aliquots were plated on selective media. The number of colony forming units (CFU) per lung is shown for each animal. C. Representative H&E-stained sections of lung tissue obtained on day 3 post infection with indicated strains (magnification, x5). D. Histopathological score of indicated strains based on criterion described in Methods. The * indicates P value of <0.0001 for RB50 vs. Bbr77 and RB50 vs. D445.

In the experiment shown in Figure 4B, animals were intranasally inoculated with 5 x 105 CFU of RB50 or the two most virulent complex IV isolates, D445 and Bbr77, and sacrificed three days later. Both complex IV isolates were present in lungs at levels that were 10 to 30-fold higher than RB50 (p < 0.001). Histopathological examination of lung tissue from mice infected with D445 or Bbr77 showed severe and widespread inflammation, affecting nearly the entire volume of the lung for D445 and up to 40% of the tissue for Bbr77 (Figure 4C & D). Extensive migration of lymphocytes, macrophages, and neutrophils resulted in severe consolidation of large areas of lung parenchyma. Alveolar and interstitial edema as well as extensive perivascular and peribronchiolar inflammation were also observed. In contrast, lungs from animals infected with RB50 displayed only mild inflammation that covered less than 25% of the total lung volume.

We also examined the relative roles of the bsc T3SS and the BteA effector in the in vivo virulence phenotypes of D445 and Bbr77. As shown in Figure 4A, deletions in bscN or bteA abrogated lethality following infection by either strain. Consistent with these observations, ΔbscN and ΔbteA mutants also showed significantly decreased numbers of bacteria in the lungs at day 3 post infection (Figure 4B) and a corresponding decrease in histopathology (Figure 4C). These results demonstrate that in comparison to the prototype complex I strain RB50, D445 and Bbr77 are more virulent in mice following respiratory infection, and hypervirulence is dependent on type III secretion and BteA.

Comparative whole-genome analysis of complex I and complex IV B. bronchisepticastrains

To determine if hypervirulent complex IV B. bronchiseptica strains share common genomic regions that might be responsible for the phenotypes reported here, we obtained whole genomic sequences of D444 (MO149), Bbr77, and D445 using next-generation high throughput sequencing. We included in our analysis the genomic sequences of B. bronchiseptica strains BBE001 and 253 (complex I human isolates) [34, 35], BBF559 (complex IV human isolate) [34], and RB50 [20]; B. pertussis strains Tohama I and 18323 [36]; and B. parapertussis strains 12822 and Bpp5 (human and ovine isolates, respectively) [37, 38]. The B. bronchiseptica sequences were in various stages of assembly at the time of analysis (Table 3). Hierarchical clustering of virtual comparative genomic hybridization data supports previous MLST assignments of phylogenic relationships between Bordetella strains [10], as isolates from each complex are clustered together (Figure 5). Genome alignments reveal that these strains share approximately 2.5 Mb of "core" genome sequence.

Table 3 B. bronchiseptica strains used for whole genome comparisons
Figure 5
figure 5

Comparative genome analysis. A. Cluster analysis of non-core genome sequences of 11 Bordetella strains. The results are displayed using TREEVIEW. Each row corresponds to a specific non-core region of the genome, and columns represent the analyzed strain. Yellow indicates presence while blue represents absence of particular genomic segments. Abbreviations: Bp = B. pertussis, Bpph = human B. parapertussis, Bb IV = complex IV B. bronchiseptica, Bb I = complex I B. bronchisetpica, Bppo = ovine B. parapertussis. B. Zoomed image of non-core region in panel A marked with a red bracket showing complex IV specific regions. On the right, blastn with default settings was used to query the nucleotide collection (nr/nt) from the National Center for Biotechnology Information and homology designations are indicated. C. Distribution of qseBC alleles among complex I and complex IV B. bronchiseptica isolates based on PCR-based amplification and sequencing.

We next carried out a comparative analysis of the non-core genome to identify potential loci shared only by complex IV strains. Despite sequences that are shared by more than one complex IV isolate, we did not identify complex IV genomic sequence(s) that uniquely differentiate complex IV from complex I strains. Strains D445, Bbr77 and D444 do, however, contain clusters of shared genes that are not present in other Bordetella genomes (Figure 5B, yellow boxes). Although these loci are missing in BBF579, the virulence properties of this isolate has not been reported, raising the possibility that one or more of these loci may contribute to hypervirulence by a subset of complex IV strains. Blastn analysis of overlap regions revealed a diverse set of genes involved mainly in signal transduction, metabolism, adhesin/autotransporter expression and type IV secretion of unknown substrates (Figure 5B).

One locus of potential interest, found in two out of four sequenced complex IV isolates (Bbr77 and D444) but none of the other Bordetella genomes, is predicted to encode homologs of the QseBC two-component regulatory system found in numerous bacterial pathogens [39]. In enterohemorrhagic E. coli (EHEC) and Salmonella sp., QseBC has been shown to sense host stress hormones (epinephrine and norepinephrine) and regulate virulence gene expression [4044]. The qseBC open reading frames from Bbr77 and D444 are identical, and their predicted products share 47% amino acid identity and 63% similarity with EHEC QseB, and 34% identity and 51% similarity with EHEC QseC, respectively. Using a PCR-based assay, we screened for the presence of qseBC in a larger collection of B. bronchiseptica isolates. As shown in Figure 5C, this locus is present in 7 out of 9 complex IV isolates, but only 1 out of 10 complex I isolates. Sequence analysis of PCR amplicons revealed high levels of nucleotide identity (> 97%) between B. bronchisepticaqseBC alleles. Although highly enriched in complex IV strains, qseBC is unlikely to represent a single, conserved pathway for hypervirulence since it is absent from strain D445. Nonetheless, the potential role of QseBC in Bordetella-host interactions warrants further study. In addition to examining gross genomic differences, we also analyzed polymorphisms in virulence loci. Nearly all of the virulence genes shared a high degree of homology (Additional file 3 Table S2). The bsc T3SS locus, the btr genes involved in T3SS regulation, as well as their upstream promoter regions had greater than 97% sequence conservation between RB50 and complex-IV strains. Additionally, our analysis confirms the absence of ptx/ptl loci and divergence in tcfA and prn genes in sequenced complex-IV isolates as previously described by Diavatopoulos et al. [10].


The existence of a distinct lineage of B. bronchiseptica strains associated with human infections was described several years ago [10]; however, little is known regarding the virulence properties of complex IV isolates or their epidemiological significance. Here we present evidence that complex IV isolates display significantly higher levels of cytotoxicity against a variety of cell lines in vitro. For a subset of complex IV strains that were isolated from humans with respiratory illness and represent distinct sequence types, we also demonstrate that hypercytotoxicity in vitro correlates with hypervirulence in vivo, and that both phenotypes are dependent on the bsc T3SS and the BteA effector.

To investigate the mechanistic basis for the quantitative differences in BteA-dependent cytotoxicity observed between complex I and complex IV strains, we took a genetic approach which is both simple and definitive. In the experiment in Figure 3A, we show that when the RB50 bteA allele is expressed in ΔbteA derivatives of RB50 or hypercytotoxic complex IV strains (D445 and Bbr77), the cytotoxicity profile of the parental strain is maintained. Thus, hypercytotoxicity is not due to differences in the specific activity of the bteA products. Additionally, the examination of culture supernatants also failed to detect differences in the T3SS secretome that could account for increased virulence. Although it is possible that one or more novel effectors that augment cytotoxicity are expressed by complex IV strains at levels that escape detection, it is also possible, and perhaps even likely, that differences in regulation are at play. We have previously shown that loci encoding bteA and bsc T3SS apparatus components and chaperones are regulated by the BvgAS phosphorelay through an alternative ECF-sigma factor, BtrS [11, 23]. In addition to transcriptional control, the partner-switching proteins BtrU, BtrV and BtrW regulate the secretion machinery through a complex series of protein-protein interactions governed by serine phosphorylation and dephosphorylation [23, 45]. Comparative expression analysis shows that differential expression of the BvgAS regulon correlates with human-adaptation by B. pertussis and B. parapertussis[18]. In a similar vein, it seems reasonable to suspect that T3SS regulatory systems may be adapting to the evolutionary pressures that are shaping B. bronchiseptica lineages.

Although both cytotoxicity and virulence are known, or likely, to be T3SS-dependent phenotypes in all strains examined, the correlation between lethality in mice and LDH release in vitro was not absolute. Strain D446 was highly cytotoxic to all cell lines examined (Figure 1), yet it was relatively avirulent following respiratory infection (Figure 4A). This is not unexpected given the fact that type III secretion is only one of many virulence determinants required for pathogenesis [7], and B. bronchiseptica isolates are known to have diverse phenotypic properties despite their high degree of genetic similarity. A recent study by Buboltz et al. [46] identified two complex I isolates belonging to ST32 which also appeared to have heightened virulence when compared to RB50. In particular, the LD50 of these strains was 40- to 60-fold lower than RB50 and based on transcriptome analyses, hypervirulence was associated with upregulated expression of T3SS genes. The authors also observed a T3SS-dependent increase in cytotoxicity towards cultured J774A.1 macrophage cells. It will be important to determine whether complex IV isolates do indeed share common virulence properties, or if the observations reported here represent heterogeneity distributed throughout B. bronchiseptica lineages.

Numerous studies have demonstrated the ability of the bsc T3SS to exert potent cytotoxicity against a remarkably broad range of mammalian cell types, regardless of their species or tissue of origin [11, 12, 14, 15]. This was considered to be a defining feature of the B. bronchiseptica T3SS. A549 cells, derived from human alveolar epithelial cells, are the first cell line to our knowledge shown to be resistant to intoxication by RB50. The finding that complex IV isolates kill these cells with high efficiency provides particularly compelling evidence for their hypercytotoxicity.

To begin to address the comparative genomics of B. bronchiseptica lineages, we analyzed the genome sequences of 4 complex IV and 3 complex I strains. The observation that homologs of the qseBC locus are present in multiple complex IV strains was an intriguing discovery, as these genes encode a catecholamine-responsive virulence control system in E. coli and Salmonella[3942]. Since the locus is missing in two complex IV strains (A345, D445), one of which is also hypervirulent (D445), qseB and qseC do not satisfy the criteria for either complex IV-specific or hypervirulence-associated genes. No loci were found to be uniquely present in all complex IV isolates, and we also failed to identify loci that are present in all members of the hypervirulent subset of complex IV strains and are predicted to encode factors involved in virulence. It is probable that there are multiple pathways to hypervirulence, and that polymorphisms between conserved virulence and regulatory genes play a role in this phenotype as well as the apparent predilection of complex IV isolates for human infectivity.

A particularly relevant question that remains to be addressed involves the burden of human disease currently caused by B. bronchiseptica. Diagnostic methods in common use that rely on PCR-based identification efficiently detect B. pertussis and B. parapertussis, but not B. bronchiseptica[47]. It is therefore possible that B. bronchiseptica respiratory infections are more common than previously appreciated, and it is intriguing to speculate that complex IV isolates may be responsible for undiagnosed respiratory infections in humans.


This work provides an initial characterization of the virulence properties of human-associated B. bronchiseptica. In in vitro cytotoxicity assays using several mammalian cell lines, wild type complex IV isolates showed significantly increased cytotoxicity as compared to a panel of complex I strains. Some complex IV isolates were remarkably cytotoxic, resulting in LDH release levels that were 10- to 20-fold greater than the prototype complex I strain RB50. While infection of C57/BL6 mice with RB50 resulted in asymptomatic respiratory infection, a subset of complex IV strains displayed hypervirulence which was characterized by rapidly progressive pneumonia with massive peribronchiolitis, perivasculitis, and alveolitis. Although in vitro cytotoxicity and in vivo hypervirulence are both dependent upon T3SS activity and the BteA effector, the exact mechanistic basis for quantitative differences in cytotoxicity observed between complex I and complex IV B. bronchiseptica isolates is currently unresolved. A limited comparative genomic analysis did not reveal unique genetic determinants that could potentially explain the virulence phenotype associated with the complex IV isolates examined. Our observations of hypervirulence in tissue culture and animal models of infection suggests that further study of these potentially emerging human pathogens is warranted.


  1. Wolfe ND, Dunavan CP, Diamond J: Origins of major human infectious diseases. Nature. 2007, 447 (7142): 279-283. 10.1038/nature05775.

    Article  PubMed  CAS  Google Scholar 

  2. Linnemann CC, Perry EB: Bordetella parapertussis. Recent experience and a review of the literature. Am J Dis Child. 1977, 131 (5): 560-563.

    Article  PubMed  CAS  Google Scholar 

  3. Cullinane LC, Alley MR, Marshall RB, Manktelow BW: Bordetella parapertussis from lambs. N Z Vet J. 1987, 35 (10): 175-10.1080/00480169.1987.35433.

    Article  PubMed  CAS  Google Scholar 

  4. Woolfrey BF, Moody JA: Human infections associated with Bordetella bronchiseptica. Clin Microbiol Rev. 1991, 4 (3): 243-255.

    PubMed  CAS  PubMed Central  Google Scholar 

  5. Cotter PA, Miller JF: Genetic analysis of the Bordetella infectious cycle. Immunopharmacology. 2000, 48 (3): 253-255. 10.1016/S0162-3109(00)00237-X.

    Article  PubMed  CAS  Google Scholar 

  6. Parkhill J, Sebaihia M, Preston A, Murphy LD, Thomson N, Harris DE, Holden MT, Churcher CM, Bentley SD, Mungall KL, et al: Comparative analysis of the genome sequences of Bordetella pertussis, Bordetella parapertussis and Bordetella bronchiseptica. Nat Genet. 2003, 35 (1): 32-40. 10.1038/ng1227.

    Article  PubMed  Google Scholar 

  7. Mattoo S, Cherry JD: Molecular pathogenesis, epidemiology, and clinical manifestations of respiratory infections due to Bordetella pertussis and other Bordetella subspecies. Clin Microbiol Rev. 2005, 18 (2): 326-382. 10.1128/CMR.18.2.326-382.2005.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  8. van der Zee A, Mooi F, Van Embden J, Musser J: Molecular evolution and host adaptation of Bordetella spp.: phylogenetic analysis using multilocus enzyme electrophoresis and typing with three insertion sequences. J Bacteriol. 1997, 179 (21): 6609-6617.

    PubMed  CAS  PubMed Central  Google Scholar 

  9. Cummings CA, Brinig MM, Lepp PW, van de Pas S, Relman DA: Bordetella species are distinguished by patterns of substantial gene loss and host adaptation. J Bacteriol. 2004, 186 (5): 1484-1492. 10.1128/JB.186.5.1484-1492.2004.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  10. Diavatopoulos DA, Cummings CA, Schouls LM, Brinig MM, Relman DA, Mooi FR: Bordetella pertussis, the Causative Agent of Whooping Cough, Evolved from a Distinct, Human-Associated Lineage of B. bronchiseptica. PLoS Pathog. 2005, 1 (4): e45-10.1371/journal.ppat.0010045.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Panina EM, Mattoo S, Griffith N, Kozak NA, Yuk MH, Miller JF: A genome-wide screen identifies a Bordetella type III secretion effector and candidate effectors in other species. Mol Microbiol. 2005, 58 (1): 267-279. 10.1111/j.1365-2958.2005.04823.x.

    Article  PubMed  CAS  Google Scholar 

  12. French CT, Panina EM, Yeh SH, Griffith N, Arambula DG, Miller JF: The Bordetella type III secretion system effector BteA contains a conserved N-terminal motif that guides bacterial virulence factors to lipid rafts. Cell Microbiol. 2009, 11 (12): 1735-1749. 10.1111/j.1462-5822.2009.01361.x.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  13. Kuwae A, Matsuzawa T, Ishikawa N, Abe H, Nonaka T, Fukuda H, Imajoh-Ohmi S, Abe A: BopC is a novel type III effector secreted by Bordetella bronchiseptica and has a critical role in type III-dependent necrotic cell death. J Biol Chem. 2006, 281 (10): 6589-6600. 10.1074/jbc.M512711200.

    Article  PubMed  CAS  Google Scholar 

  14. Yuk MH, Harvill ET, Cotter PA, Miller JF: Modulation of host immune responses, induction of apoptosis and inhibition of NF-kappaB activation by the Bordetella type III secretion system. Mol Microbiol. 2000, 35 (5): 991-1004. 10.1046/j.1365-2958.2000.01785.x.

    Article  PubMed  CAS  Google Scholar 

  15. Yuk MH, Harvill ET, Miller JF: The BvgAS virulence control system regulates type III secretion in Bordetella bronchiseptica. Mol Microbiol. 1998, 28 (5): 945-959. 10.1046/j.1365-2958.1998.00850.x.

    Article  PubMed  CAS  Google Scholar 

  16. Stockbauer KE, Foreman-Wykert AK, Miller JF: Bordetella type III secretion induces caspase 1-independent necrosis. Cell Microbiol. 2003, 5 (2): 123-132. 10.1046/j.1462-5822.2003.00260.x.

    Article  PubMed  CAS  Google Scholar 

  17. Bjornstad ON, Harvill ET: Evolution and emergence of Bordetella in humans. Trends Microbiol. 2005, 13 (8): 355-359. 10.1016/j.tim.2005.06.007.

    Article  PubMed  CAS  Google Scholar 

  18. Cummings CA, Bootsma HJ, Relman DA, Miller JF: Species- and strain-specific control of a complex, flexible regulon by Bordetella BvgAS. J Bacteriol. 2006, 188 (5): 1775-1785. 10.1128/JB.188.5.1775-1785.2006.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  19. Stainer DW, Scholte MJ: A simple chemically defined medium for the production of phase I Bordetella pertussis. J Gen Microbiol. 1970, 63 (2): 211-220. 10.1099/00221287-63-2-211.

    Article  PubMed  CAS  Google Scholar 

  20. Cotter PA, Miller JF: BvgAS-mediated signal transduction: analysis of phase-locked regulatory mutants of Bordetella bronchiseptica in a rabbit model. Infect Immun. 1994, 62 (8): 3381-3390.

    PubMed  CAS  PubMed Central  Google Scholar 

  21. Stibitz S, Yang MS: Subcellular localization and immunological detection of proteins encoded by the vir locus of Bordetella pertussis. J Bacteriol. 1991, 173 (14): 4288-4296.

    PubMed  CAS  PubMed Central  Google Scholar 

  22. Brennan MJ, Li ZM, Cowell JL, Bisher ME, Steven AC, Novotny P, Manclark CR: Identification of a 69-kilodalton nonfimbrial protein as an agglutinogen of Bordetella pertussis. Infect Immun. 1988, 56 (12): 3189-3195.

    PubMed  CAS  PubMed Central  Google Scholar 

  23. Mattoo S, Yuk MH, Huang LL, Miller JF: Regulation of type III secretion in Bordetella. Mol Microbiol. 2004, 52 (4): 1201-1214. 10.1111/j.1365-2958.2004.04053.x.

    Article  PubMed  CAS  Google Scholar 

  24. Harvill ET, Cotter PA, Miller JF: Pregenomic comparative analysis between Bordetella bronchiseptica RB50 and Bordetella pertussis tohama I in murine models of respiratory tract infection. Infect Immun. 1999, 67 (11): 6109-6118.

    PubMed  CAS  PubMed Central  Google Scholar 

  25. Cotter PA, Yuk MH, Mattoo S, Akerley BJ, Boschwitz J, Relman DA, Miller JF: Filamentous hemagglutinin of Bordetella bronchiseptica is required for efficient establishment of tracheal colonization. Infect Immun. 1998, 66 (12): 5921-5929.

    PubMed  CAS  PubMed Central  Google Scholar 

  26. Ahuja U, Kjelgaard P, Schulz BL, Thoeny-Meyer L, Hederstedt L: Haem-delivery proteins in cytochrome c maturation System II. Mol Microbiol. 2009, 73 (6): 1058-1071. 10.1111/j.1365-2958.2009.06833.x.

    Article  PubMed  CAS  Google Scholar 

  27. Kurtz S, Phillippy A, Delcher AL, Smoot M, Shumway M, Antonescu C, Salzberg SL: Versatile and open software for comparing large genomes. Genome Biol. 2004, 5 (2): R12-10.1186/gb-2004-5-2-r12.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Eisen MB, Spellman PT, Brown PO, Botstein D: Cluster analysis and display of genome-wide expression patterns. Proc Natl Acad Sci U S A. 1998, 95 (25): 14863-14868. 10.1073/pnas.95.25.14863.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  29. Kuwae A, Ohishi M, Watanabe M, Nagai M, Abe A: BopB is a type III secreted protein in Bordetella bronchiseptica and is required for cytotoxicity against cultured mammalian cells. Cell Microbiol. 2003, 5 (12): 973-983. 10.1046/j.1462-5822.2003.00341.x.

    Article  PubMed  CAS  Google Scholar 

  30. Medhekar B, Shrivastava R, Mattoo S, Gingery M, Miller JF: Bordetella Bsp22 forms a filamentous type III secretion system tip complex and is immunoprotective in vitro and in vivo. Mol Microbiol. 2009, 71 (2): 492-504. 10.1111/j.1365-2958.2008.06543.x.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  31. Nogawa H, Kuwae A, Matsuzawa T, Abe A: The type III secreted protein BopD in Bordetella bronchiseptica is complexed with BopB for pore formation on the host plasma membrane. J Bacteriol. 2004, 186 (12): 3806-3813. 10.1128/JB.186.12.3806-3813.2004.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  32. Forsberg A, Viitanen AM, Skurnik M, Wolf-Watz H: The surface-located YopN protein is involved in calcium signal transduction in Yersinia pseudotuberculosis. Mol Microbiol. 1991, 5 (4): 977-986. 10.1111/j.1365-2958.1991.tb00773.x.

    Article  PubMed  CAS  Google Scholar 

  33. Mattoo S, Miller JF, Cotter PA: Role of Bordetella bronchiseptica fimbriae in tracheal colonization and development of a humoral immune response. Infect Immun. 2000, 68 (4): 2024-2033. 10.1128/IAI.68.4.2024-2033.2000.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  34. Kislyuk AO, Katz LS, Agrawal S, Hagen MS, Conley AB, Jayaraman P, Nelakuditi V, Humphrey JC, Sammons SA, Govil D, et al: A computational genomics pipeline for prokaryotic sequencing projects. Bioinformatics. 2010, 26 (15): 1819-1826. 10.1093/bioinformatics/btq284.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  35. Buboltz AM, Nicholson TL, Parette MR, Hester SE, Parkhill J, Harvill ET: Replacement of adenylate cyclase toxin in a lineage of Bordetella bronchiseptica. J Bacteriol. 2008, 190 (15): 5502-5511. 10.1128/JB.00226-08.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  36. Kasuga T, Nakase Y, Ukishima K, Takatsu K: Studies on Haemophilis pertussis. III. Some properties of each phase of H. pertussis. Kitasato Arch Exp Med. 1954, 27 (3): 37-47.

    PubMed  CAS  Google Scholar 

  37. Heininger U, Stehr K, Schmitt-Grohe S, Lorenz C, Rost R, Christenson PD, Uberall M, Cherry JD: Clinical characteristics of illness caused by Bordetella parapertussis compared with illness caused by Bordetella pertussis. Pediatr Infect Dis J. 1994, 13 (4): 306-309. 10.1097/00006454-199404000-00011.

    Article  PubMed  CAS  Google Scholar 

  38. Brinig MM, Register KB, Ackermann MR, Relman DA: Genomic features of Bordetella parapertussis clades with distinct host species specificity. Genome Biol. 2006, 7 (9): R81-10.1186/gb-2006-7-9-r81.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Rasko DA, Moreira CG, de Li R, Reading NC, Ritchie JM, Waldor MK, Williams N, Taussig R, Wei S, Roth M, et al: Targeting QseC signaling and virulence for antibiotic development. Science. 2008, 321 (5892): 1078-1080. 10.1126/science.1160354.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  40. Sperandio V, Torres AG, Kaper JB: Quorum sensing Escherichia coli regulators B and C (QseBC): a novel two-component regulatory system involved in the regulation of flagella and motility by quorum sensing in E. coli. Mol Microbiol. 2002, 43 (3): 809-821. 10.1046/j.1365-2958.2002.02803.x.

    Article  PubMed  CAS  Google Scholar 

  41. Clarke MB, Hughes DT, Zhu C, Boedeker EC, Sperandio V: The QseC sensor kinase: a bacterial adrenergic receptor. Proc Natl Acad Sci U S A. 2006, 103 (27): 10420-10425. 10.1073/pnas.0604343103.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  42. Pullinger GD, Carnell SC, Sharaff FF, van Diemen PM, Dziva F, Morgan E, Lyte M, Freestone PP, Stevens MP: Norepinephrine augments Salmonella enterica-induced enteritis in a manner associated with increased net replication but independent of the putative adrenergic sensor kinases QseC and QseE. Infect Immun. 2010, 78 (1): 372-380. 10.1128/IAI.01203-09.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  43. Spencer H, Karavolos MH, Bulmer DM, Aldridge P, Chhabra SR, Winzer K, Williams P, Khan CM: Genome-wide transposon mutagenesis identifies a role for host neuroendocrine stress hormones in regulating the expression of virulence genes in Salmonella. J Bacteriol. 2010, 192 (3): 714-724. 10.1128/JB.01329-09.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  44. Karavolos MH, Bulmer DM, Spencer H, Rampioni G, Schmalen I, Baker S, Pickard D, Gray J, Fookes M, Winzer K, et al: Salmonella Typhi sense host neuroendocrine stress hormones and release the toxin haemolysin E. EMBO Rep. 2011, 12 (3): 252-258. 10.1038/embor.2011.4.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  45. Kozak NA, Mattoo S, Foreman-Wykert AK, Whitelegge JP, Miller JF: Interactions between partner switcher orthologs BtrW and BtrV regulate type III secretion in Bordetella. J Bacteriol. 2005, 187 (16): 5665-5676. 10.1128/JB.187.16.5665-5676.2005.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  46. Buboltz AM, Nicholson TL, Weyrich LS, Harvill ET: Role of the type III secretion system in a hypervirulent lineage of Bordetella bronchiseptica. Infect Immun. 2009, 77 (9): 3969-3977. 10.1128/IAI.01362-08.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  47. Guiso N, von Konig CH W, Forsyth K, Tan T, Plotkin SA: The Global Pertussis Initiative: report from a round table meeting to discuss the epidemiology and detection of pertussis, Paris, France, 11–12 January 2010. Vaccine. 2011, 29 (6): 1115-1121. 10.1016/j.vaccine.2010.12.010.

    Article  PubMed  Google Scholar 

  48. Hanahan D: Studies on transformation of Escherichia coli with plasmids. J Mol Biol. 1983, 166 (4): 557-580. 10.1016/S0022-2836(83)80284-8.

    Article  PubMed  CAS  Google Scholar 

  49. Simon R, Priefer U, Puhler A: A Broad Host Range Mobilization System for In Vivo Genetic Engineering: Transposon Mutagenesis in Gram Negative Bacteria. Nat Biotech. 1983, 1 (9): 784-791. 10.1038/nbt1183-784.

    Article  CAS  Google Scholar 

  50. Kovach ME, Elzer PH, Hill DS, Robertson GT, Farris MA, Roop RM: Peterson KM: Four new derivatives of the broad-host-range cloning vector pBBR1MCS, carrying different antibiotic-resistance cassettes. Gene. 1995, 166 (1): 175-176. 10.1016/0378-1119(95)00584-1.

    Article  PubMed  CAS  Google Scholar 

  51. Corpet F: Multiple sequence alignment with hierarchical clustering. Nucleic Acids Res. 1988, 16 (22): 10881-10890. 10.1093/nar/16.22.10881.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

Download references


We thank Jane Park, Linda Phung and Ning Chang for technical assistance and Katya Panina, Christopher T. French, Atish Ganguly and Diego Arambula for helpful discussions. We thank Dave Richards for his assistance with animal experiments. This work was partly supported by NIH RO1 AI061598 to JFM and a Swiss National Science Foundation post doctoral fellowship award PBEZA-113867 to UA.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Jeff F Miller.

Additional information

Competing interests

The authors declare that there are no competing interests.

Authors’ contributions

UA designed the study and was responsible for a majority of the experimental work, data interpretation, and writing of the manuscript. ML was responsible for the genome data analysis and revising the manuscript. ST, HL and JPark aided in genomic data analysis. PS and JW aided in MS data acquisition and analysis. JParkhill was responsible for genome data acquisition. ETH participated in data analysis and revision of the manuscript. JFM participated in study design, coordinated the study, and co-authored the manuscript. All authors reviewed and approved the final manuscript.

Electronic supplementary material


Additional file 1: Table S1. Adherence of B. bronchiseptica isolates. HeLa or A549 cells were infected at a multiplicity of infection (MOI) of 200 in 12-well plates for 15 min. After infection, cells were washed with Hanks' balanced salts solution, fixed with methanol, stained with Giemsa stain and visualized by light microscopy. Adherence was quantified by counting the total number of bacteria per mammalian cell in at least three microscopic fields from two separate experiments. ++, 100-200 bacteria/cell; +, 1-100 bacteria/cell, -, no attachment, nd, not determined. (DOCX 15 KB)


Additional file 2: Figure S1. Secreted protein analysis of B. bronchiseptica isolates. Cultures were grown to late-log phase and pellet (0.125 OD600 equivalents) or supernatant (3.75 OD600 equivalents) fractions were separated by SDS-PAGE and stained with Coomassie brilliant blue. Molecular mass markers (kDa) are indicated on the left. Labels on the right show the identities of proteins determined by mass spectrometry. (PDF 11 MB)


Additional file 3: Table S2. tBLASTn comparisons of known virulence genes. Values indicate % identity or % similarity at the amino acid level with respect to RB50. (DOCX 20 KB)

Authors’ original submitted files for images

Rights and permissions

Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Ahuja, U., Liu, M., Tomida, S. et al. Phenotypic and Genomic Analysis of Hypervirulent Human-associated Bordetella bronchiseptica. BMC Microbiol 12, 167 (2012).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: