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Infection and Immunity, September 2005, p. 6026-6038, Vol. 73, No. 9
0019-9567/05/$08.00+0 doi:10.1128/IAI.73.9.6026-6038.2005
Copyright © 2005, American Society for Microbiology. All Rights Reserved.
Department of Microbiology, Faculty of Dentistry,1 Faculty of Laboratory Medicine and Pathobiology, University of Toronto, Ontario, Canada,2 Center for Molecular Microbiology and Department of Oral Biology, University of Florida College of Dentistry, Gainesville, Florida,3 iviGene Corp., Gainesville, Florida4
Received 30 November 2004/ Returned for modification 8 February 2005/ Accepted 19 May 2005
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During disease, GAS must adapt to a range of environments (e.g., blood, nasopharyngeal mucosa, skin, etc.), and survival in any one niche would likely require the expression of a distinct subset of virulence factors. Hence, genes that are upregulated in vivo may play an important role in disease. Conventional genetic and biochemical approaches used to study GAS virulence determinants cannot mimic the complex and dynamic environmental stimuli that occur at the site of infection. Recently, however, several technologies have been developed to identify genes that are expressed during an infection, including in vivo antigen technology (IVIAT), in vivo expression technology (IVET), differential fluorescence induction (DFI), and signature-tagged mutagenesis (STM) (15, 19, 40). A wide array of in vivo-induced (IVI) genes involved in adhesion, invasion, nutrient acquisition, regulation, and structural integrity have been identified by using these technologies and mutants deficient in some of these genes indicate that they have a role in virulence (reviewed in references 15, 19, and 40).
The promising data generated by these technologies prompted us to investigate the pathogenesis of invasive GAS infections by using IVIAT (16, 17), a technique that relies on antibodies produced during a natural infection. The IVIAT scheme consists of three steps: (i) serum selection and adsorption, (ii) construction of a GAS genomic expression library, and (iii) screening of the GAS genomic library with the selected, pooled, adsorbed sera. The advantages of IVIAT are that antigenic determinants induced in vivo will be identified and that, unlike other in vivo technologies, it does not limit the investigator to a single strain of bacteria for the identification of IVI genes. This is important because no conclusive evidence has been found demonstrating that a particular serotype or clonotype of GAS is responsible for invasive disease (23, 25, 33, 45). In the present study, convalescent-phase sera from patients with invasive GAS disease and GAS-immunized mice sera were utilized as sources of antibodies produced during an invasive infection with GAS. The use of sera from multiple patients allows for the identification of a wide array of immunogens by taking advantage of the variability in host immune responses to IVI antigens. Screening of the GAS genomic library resulted in the identification of 16 putative IVI genes. Of these, seven genes were selected for analysis by real-time PCR (11) to confirm their in vivo upregulation. Three genes were shown to be upregulated in vivo; a putative penicillin-binding protein 1A gene (pbp1A), a putative lipoprotein gene (atmB), and a conserved hypothetical protein gene (tdcF).
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TABLE 1. Eight invasive clinical GAS strains used for the construction of the GAS genomic library and for deriving the in vitro antigens used to adsorb sera from patients with invasive disease, GAS-immunized mice, and healthy individuals
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Human sera. Convalescent human sera, collected between 2 to 3 weeks after diagnosis, were selected from 14 of 21 patients with invasive GAS infections, such as NF and STSS (Table 2). Note that these serum samples were not from the same patients as those from whom the eight invasive GAS isolates were collected (Table 1). Hence, the strain and serum samples were not paired. Control human sera were obtained from human subjects with no previous history of invasive GAS infection.
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TABLE 2. List of sera from patients with invasive GAS disease used for screening the GAS genomic library
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(ii) In vivo gene expression. Mice were inoculated subcutaneously with MGAS166 for analysis of gene expression in vivo. Necrotic lesions that developed at the site of inoculation were excised from each of two mice sacrificed at 24 and 48 h postinoculation, snap-frozen in liquid nitrogen, and stored in 80°C.
(iii) Attenuation of virulence. Insertionally inactivated mutants were tested for attenuation of virulence in the invasive subcutaneous infection model of GAS (2). Ten mice each were inoculated with 106 CFU of wild-type NZ131 and GAS 5448, as well as their corresponding atmB and pbp1A insertional mutants. An additional 10 mice inoculated only with cytodex acted as controls. The mice were monitored for weight gain/loss, lesion formation, size, and rate of healing for a period of 10 days. At 3 and 10 days postinoculation 3 and 7 mice, respectively, were sacrificed from each of the 10 mice inoculated with the wild-type parental strains and their corresponding mutants. The necrotic lesions in each of these mice were excised, macerated with a disposable tissue grinder (Kendall), resuspended in 1.0 ml of 1x PBS, and plated on Columbia blood agar (CBA) plates to determine the CFU of bacteria/ml. The insertionally inactivated mutants were also plated on CBA plates containing 2.5 µg of chloramphenicol/ml to ensure that the plasmid was not lost during growth in vivo and that relative counts on CBA alone were the same.
Indirect ELISA. An indirect enzyme-linked immunosorbent assay (ELISA) was used for screening the human and mice sera by using in vitro-derived GAS antigens (refer to in vitro antigen preparation). Immulon IIHB plates (Dynex Technologies, Chantilly, VA) were coated overnight at 4°C with each antigen (whole cells, cell extracts, and spent media), which was diluted in freshly prepared carbonate bicarbonate buffer consisting of 20 mM sodium carbonate (Fisher Scientific, Nepean, Canada) and 50 mM sodium bicarbonate (BDH Chemicals, Toronto, Ontario, Canada). The assay procedure described previously was followed (6). The antibody titer was defined as the highest serial dilution of serum at which the optical density at 490 nm (OD490) was two standard deviations above the mean OD490 of the negative controls (without primary antibody or without antigen). Antibody titers were converted to logarithmic values [log2 (x), where x equals the reciprocal of the serum dilution] for calculation of geometric means.
Serum adsorption. Equal volumes of selected invasive patient sera and GAS-immunized mice sera were pooled in a species-specific manner and successively adsorbed with in vitro-derived GAS antigens. In addition, sera from 14 healthy individuals were also pooled and successively adsorbed with in vitro-derived GAS antigens. The successive adsorption steps consisted of five times with whole cells, one time with cell extracts, one time with denatured cell extracts, and one time with spent media. Adsorptions were carried out by incubating the pooled sera overnight at 4°C with antigen-saturated nitrocellulose membranes (Millipore, Bedford, MA). After each successive adsorption, the pooled sera were removed, and the membrane was washed with 500 µl of 1x PBS, which was then added to the pooled sera. To check the efficacy of each adsorption step, a 10-µl aliquot of the serum was removed after each adsorption and an indirect ELISA was performed.
Construction of an inducible expression GAS genomic DNA library. Chromosomal DNA from eight GAS strains (Table 1) was extracted by using a cetyltrimethylammonium bromide (CTAB) protocol (47). The library was constructed by partial Sau3AI digestion of the genomic DNA that was ligated into pET30-abc vectors (Novagen, Inc., Madison, WI) and electroporated into E. coli DH10B nonexpression cells (Invitrogen, Toronto, Ontario, Canada) as described previously (24).
Genomic library screening. An aliquot of the plasmid DNA library in E. coli DH10B nonexpression hosts was extracted by using the QIAprep Spin Miniprep kit (QIAGEN, Inc., Toronto, Ontario, Canada) and transformed into chemically competent E. coli BL21(DE3) expression host (Novagen). The library was screened by colony Western blot analysis with pooled adsorbed or unadsorbed human and mouse sera in a species specific-manner as described previously (24) utilizing a Western blot detection kit (Bio-Rad Laboratories, Hercules, CA). Clones expressing the seven genes selected for further analysis by real-time PCR were also screened with pooled, adsorbed sera from healthy individuals to determine their reactivity to this serum set.
DNA sequencing. DNA sequencing was done with an ABI Prism 377 automatic DNA sequencer by the double-strand dideoxy chain termination method at the Hospital for Sick Children Sequencing Facility, Toronto, Ontario, Canada. Sequences were analyzed by using the BLAST algorithm of the National Center for Biotechnology Information.
RNA isolation. Duplicate cultures of MGAS166 grown in vitro were harvested at OD600s of 0.1, 0.2, 0.4, 0.6, 0.8, and 1.0. OD600s of 0.1 to 0.2, 0.2 to 0.7, and 0.8 to 1.0 correspond to lag phase, log phase, and stationary phase, respectively. The bacterial pellet was snap-frozen in liquid nitrogen and stored at 80°C. Frozen mouse tissue biopsies were macerated with a disposable tissue grinder (Kendall, Mansfield, MA). To isolate RNA, the bacterial pellet or ground tissue was resuspended in TRIzol reagent (Invitrogen), and cells were lysed by using an FP120 Fastprep machine (Bio 101) at a setting of 6.0 for 30 s. RNA was then treated with RQ1 DNase (Promega, Madison, WI), and its integrity was verified by agarose gel electrophoresis. Bacterial RNA from the infected mouse tissue was enriched by using a MICROBEnrich kit (Ambion, Inc., Austin, TX) in accordance with the manufacturer's instructions.
Real-time PCR analysis. DNase-treated RNA samples were reverse transcribed by using a first-strand cDNA synthesis kit (MBI Fermentas, Inc., Hanover, MD) in accordance with the recommendations of the supplier. Controls for cDNA synthesis and DNase treatment included a no-RNA template sample and one without reverse transcriptase. The real-time PCR assays were performed by using a Cepheid SmartCycler system (Sunnyvale, CA) and a Quantitect SYBR-Green PCR kit (QIAGEN). Each 25-µl reaction included 2 µl of cDNA (400 to 800 ng), 250 nmol of each primer (Table 3), and 2x SYBR-Green mix. The reactions were cycled in the Smart Cycler with the following parameters: 95°C for 15 min for the hot-start, followed by 40 cycles of 94°C for 30 s, annealing at optimal temperature (Table 3) for 30 s, and primer extension at 72°C for 30 s. The primers were designed by using homologous regions of the genomic DNA sequences of M1 (SF370), M3 (MGAS315), and M18 (MGAS8232) that are available on the NCBI database.
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TABLE 3. List of target genes, normalizing gene (gyrA), primers, and optimal annealing temperatures used for the real-time PCR analysis
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Construction of insertionally inactivated mutants.
Targeted mutagenesis of atmB and pbp1A was generated utilizing the PCR ligation mutagenesis technique (12, 26). Chromosomal regions upstream and downstream of the target genes were amplified and ligated to the erythromycin resistance gene ermB (12, 26) via FseI and AscI restriction endonuclease sites, respectively, incorporated onto the 5' end of appropriate primers (Table 4). The P1/P2 and P3/P4 primer pairs for each gene amplified the upstream and downstream regions of the target genes, respectively. The upstream fragments and downstream fragments were ligated to the ermB cassette via the AscI and FseI restriction sites and cloned into the temperature-sensitive shuttle vector pVE6007
, specifying chloramphenicol (cat) (12). The resultant plasmids were transformed into two GAS serotypes: M49 serotype strain NZ131 and M1 serotype strain GAS5448. Chloramphenicol- and erythromycin-resistant transformants were identified at the permissive temperature for plasmid replication (30°C). Single-crossover Campbell-type genomic insertions were selected by incubation at a nonpermissive temperature (37°C) while maintaining chloramphenicol and erythromycin selection. Genomic DNA was examined in each of the mutant strains by PCR and Southern hybridization to confirm the single-crossover of the plasmids into the appropriate region of the genomic DNA.
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TABLE 4. Primers used for the insertional inactivation of GAS pbp1A and atmB genes
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FIG. 1. Comparison of the reactivity of sera from patients with invasive disease and healthy individuals as observed by indirect ELISA utilizing GAS whole cells (A), cell extracts (B) and spent media (C) as the antigen. N, number of individuals or patients with the given serum titer.
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FIG. 2. Comparison of the reactivity of sera from GAS-immunized and nonimmunized mice as observed by indirect ELISA utilizing GAS whole cells (A), cell extracts (B), and spent media (C) as the antigen. N, number of mice with the given serum titer.
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FIG. 3. Example of duplicate colony blots screened with unadsorbed (A) and adsorbed (B) human sera.
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TABLE 5. Putative IVI genes identified by IVIAT
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FIG. 4. Average in vitro gene expression from MGAS166 grown to OD600s of 0.1 to 1.0, spanning early lag to stationary phase, as determined by real-time PCR analysis. The standard deviations are presented from duplicate experiments.
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FIG. 5. Average in vivo gene expression from MGAS166 infecting soft tissue of mice sacrificed at 24 and 48 h postinoculation as determined by real-time PCR analysis. The standard deviations are presented from two mice each, sacrificed at 24 and 48 h.
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FIG. 6. In vivo gene expression at 24 h (A) and 48 h (B) relative to the highest level of expression in vitro by real-time PCR analysis.
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FIG. 7. Lesion size observed in mice at days 1, 2, 3, and 10 postinoculation with wild-type NZ131 and its mutants (A) and wild-type GAS5448 and its mutants (B). Bars represent median weight gain ± the range.
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Interestingly, in our study, no distinct cutoff was observed between the reactivity of sera from patients with invasive disease and those from healthy individuals when using GAS whole cells and cell extracts as antigens for the indirect ELISA (Fig. 1). However, when GAS spent media was used as an antigen for the indirect ELISA, sera from patients with invasive disease indicated a higher reactivity compared to the sera from healthy individuals (Fig. 1). The occurrence of sera reactive to GAS antigens in healthy individuals is not surprising since nonsevere infections caused by GAS such as pharyngitis are common among all age groups, with highest infection rates occurring in the ages of 5 to 15 years (10). The seven clones bearing the partial sequences of the genes analyzed by real-time PCR (Fig. 4, 5, and 6) were evaluated for their reactivity to pooled, adsorbed sera from healthy individuals. The data indicated that, with the exception of the clone carrying the pbp1A insert, all of the clones were reactive to this serum set. There are two possible explanations for this observation. First, there might be antibodies present in the pooled, adsorbed sera from healthy individuals that are cross-reacting with atmB, coaA, SPy1674, SPy1733, SPy1784, and tdcF. Second, these genes may not be specific to invasive disease.
Screening of the GAS genomic library with sera from mice immunized with GAS through subcutaneous invasive infection resulted in the identification of clones that were also reactive to sera from patients with invasive GAS disease. No clones were identified that reacted solely to sera from patients with invasive disease or GAS-immunized mice. Thus, indicating in both humans and mice the importance of these determinants in invasive disease.
The use of sera to identify immunoreactive antigens expressed during infection has been used in two previous studies on streptococci (29, 49). Lei et al. (29) were able to identify secreted culture supernatant proteins that were reactive with both sera from mice infected subcutaneously with M1 and M3 serotype strains and sera from humans with various diseases of GAS. Similarly, in Streptococcus pneumoniae, Zysk et al. (49) used convalescent-phase patient sera to screen a genomic library of S. pneumoniae for immunoreactive antigens and were able to identify 23 immunogenic pneumococcal proteins, 6 of known and 17 of unknown function. Although both of the aforementioned studies resulted in the identification of antigenic determinants, unlike IVIAT they did not select for genes upregulated in vivo.
Sequence analysis of the reactive clones identified in the present study indicated 16 putative IVI genes, varying from ABC transporters, metabolic enzymes, phage-encoded genes, and genes of unknown function (Table 5). Real-time PCR demonstrated upregulation of three of these genes in vivo, pbp1A, tdcF, and atmB, suggesting that they might be playing a significant role during invasive GAS disease.
Although, penicillin-binding proteins (PBPs) are generally involved in peptidoglycan synthesis and are essential for cell morphology and division (13), a novel function for ponA, which encodes for PBP1A in Streptococcus agalactiae and is a homologue of pbp1A in GAS has been recently identified (22). A ponA-deficient mutant of S. agalactiae, constructed by signature-tagged mutagenesis, was found to be susceptible to phagocytic killing and showed reduced virulence in an animal sepsis model of infection (22). Since, pbp1A in GAS has significant homology with ponA in S. agalactiae and is upregulated in vivo, it could function similarly in the evasion of immune clearance. In fact, our data on the in vivo analysis of insertionally inactivated mutants of pbp1A supports this hypothesis. The pbp1A mutants in two different M serotype backgrounds were cleared at a faster rate than the parent wild-type strains. Furthermore, the rate of lesion formation and healing was significantly reduced in the mutants (Fig. 7). The precise role of pbp1A in invasion will be determined after the construction of in-frame deletion-replacement mutants.
The homologue of tdcF in GAS has not been as well studied as the pbp1A homologue. In fact, almost nothing is known about the homologue of this gene. TdcF was identified as a conserved hypothetical protein in the GAS M1 genome database and shares 60% identity with a putative V. vulnificus translation initiation inhibitor. Although the V. vulnificus gene has not been characterized, a homolog of this protein in E. coli is part of a seven-gene operon that is induced anaerobically (38). In our study, real-time PCR analysis of gene expression shows that tdcF is upregulated in vivo during subcutaneous infection in mice where oxygen is not freely available compared to the in vitro conditions investigated in the present study (refer to Fig. 4 and 5). Thus, if tdcF in GAS is similarly induced during anaerobic conditions, it could function in the O2-limited environment of the deeper layers of the epidermis (35) encountered by GAS during invasive infections, such as necrotizing fasciitis.
Little is known about the atmB homologue of GAS in Streptococcus mutans. AtmB is a member of the lipoprotein family of proteins which have been shown to perform diverse functions, ranging from substrate-binding proteins in ABC transporter systems to being involved in antibiotic resistance, and cell signaling (43). Identification of lipoproteins that are upregulated in vivo in other pathogenic organisms have been shown to be likely important for pathogenesis. For example, in a previous study of V. vulnificus using IVIAT, a putative lipoprotein was also found to be induced in vivo when convalescent-phase sera from patients who survived V. vulnificus septicemia were used to screen a genomic library of this organism (24). Furthermore, in S. pneumoniae, psaA a metal-binding lipoprotein component of an ABC transporter, which was upregulated in vivo relative to in vitro growth (34), was shown to act as a protective immunogen in mice (44) and psaA-deficient mutants were attenuated in virulence (1). Our preliminary analysis of atmB by insertionally inactivating this gene has shown that it is involved in virulence since the mutants were attenuated in virulence in two different M serotype backgrounds.
Although the function of atmB in GAS is not known, it has been shown to be upregulated in a serotype M1 GAS strain during phagocytic interaction with human polymorphonuclear leukocytes in vitro, thus implicating a possible role for atmB in evasion or defense against the immune system (46). The clearance of the atmB mutants relative to their corresponding parental wild-type strains in the present study does indeed suggest that atmB is playing a role in the evasion or defense against the immune system. We have also shown that atmB is upregulated in vivo, with expression occurring at 24 h postinoculation in the murine model but not at 48 h (Fig. 5), suggesting that atmB is probably important earlier in the infection when GAS must be able to regulate gene expression in response to the host's innate immune response. This evidence points to another advantage of IVIAT unlike other in vivo-induced technologies, since it allows for the identification of genes that are induced throughout the infection process rather than those that are induced at a particular time in the infection process as is observed with IVET (15). Interestingly, in our study we identified atmB as antigenic by screening with both human and mice sera; however, Lei et al. (28) were not able to elicit an immune response by immunizing CD-1 Swiss mice with purified recombinant AtmB. The reason for this is not clear; however, it has been shown that the susceptibility to GAS infection varies depending on the genetic background of mice (31). Therefore, it is possible that the strain of mice used by Lei et al. (28) did not mount an immune response to AtmB.
In addition to the host's genetic background, it appears that the genetic background of the bacterial strain is also playing an important role on the effects of atmB. Under two genetic backgrounds (M49 and M1 serotypes) the degree of attenuation of atmB was more pronounced in the M49 serotype strain (NZ131). The lesions in the mice inoculated with the atmB mutants of NZ131 were smaller and healed faster than those inoculated with the wild-type NZ131 (Fig. 7). However, a significant difference in the lesion size between GAS5448 and its corresponding atmB mutant was only observed at day 2 postinoculation (Fig. 7).
Of the seven genes characterized by real-time PCR, coaA, SPy1674, SPy1784, and SPy1733 were not upregulated in vivo relative to the highest level of expression in vitro (Fig. 6). There are three possible explanations for this result. First, since we measured in vivo gene expression at 24 and 48 h postinoculation, it is possible that we might have missed the time at which there were increased levels of expression of these genes relative to in vitro growth. Second, the patient and mice sera utilized in the present study were adsorbed against in vitro antigens derived from GAS cells grown to a single time point, i.e., late log or stationary phase. Third, the mRNA concentration might not reflect the amount of protein or antigen being produced if the regulation of these antigens is occurring posttranscriptionally. Nevertheless, the possible role of the aforementioned genes in invasive disease cannot be dismissed without further investigation.
coaA encodes a putative pantothenate kinase, which shares 71% identity with a pantothenate kinase gene in S. agalactiae. Pantothenate kinase (ATP-D-pantothenate 4'-phosphotransferase), present in both eukaryotes and prokaryotes, catalyzes the first step in the biosynthetic pathway leading to coenzyme A (CoA), an essential carrier that participates in the metabolism of fatty acids, carbohydrates, and amino acids (36). In Staphylococcus aureus, coaA was shown to be inhibited by a number of compounds and was suggested as a possible drug target for control of resistant isolates since there is little sequence homology between the prokaryotic and eukaryotic CoA biosynthetic enzymes (5). Since coaA encodes an essential enzyme for the synthesis of CoA and the present study has shown that coaA is expressed in vivo, it could offer an interesting and novel target for antibiotic therapy. SPy1733 is a hypothetical protein that shares 69% identity with a transcriptional regulator in S. mutans. A homologue of this gene in Bacillus subtilis was shown to act as an attenuator of the expression of the lytABC and lytR operons involved in autolysis (27). Moreover, mutants of the SPy1733 homologue in S. mutans were shown to be defective in biofilm formation (48). Investigations to study the role of SPy1733 in biofilm formation and invasive disease in GAS are currently under way.
Two putative ABC transporters, SPy1674 and SPy1784, were identified by IVIAT, the former with 74% identity to an ABC transporter in S. agalactiae and the latter with 50% identity to NisF of Lactococcus lactis. ABC transporters comprise a large number of paralogous protein families with diverse functions such as transport of nutrients and exclusion of antibiotics, thus conferring resistance (20). The substrate specificity of both of the ABC transporters identified in the present study is unknown. Nevertheless, a homolog of SPy1784 is nisF in L. lactis, which is a part of an 11-gene operon required for the production of the lantibiotic nisin and is proposed to contribute to immunity against nisin (37, 39). Lantibiotics are antimicrobial peptides produced by gram-positive bacteria that provide the producing strain with a competitive advantage by inhibiting related bacteria (30). SPy1784 might also be part of a lantibiotic producing operon based on its homology to nisF. Although neither SPy1674 nor SPy1784 were upregulated in vivo relative to the in vitro conditions of growth tested in the present study, SPy1674 was shown in another study to be upregulated in response to growth at 29°C relative to 37°C (41). Thus, it appears to respond to environmental temperature stimuli, which might explain why we saw roughly the same level of expression in vivo at 24 and 48 h (Fig. 5).
The present study has shown the successful application of IVIAT in the identification of IVI genes during invasive GAS disease. These genes range from those involved in metabolic activity to those of unknown function and provide us not only with insight into the host environment encountered by GAS but also facilitate characterization of genes with no known function. Additional support validating the successful application of IVIAT comes from the work of research groups that have used this technology to study the pathogenesis of Vibrio cholerae (18), V. vulnificus (24), Actinobacillus actinomycetemcomitans (3), Candida albicans (4), and Mycobacterium tuberculosis (8). We have identified three putative virulence factors (atmB, pbp1A, and tdcF) that are upregulated in vivo. In vivo analysis of insertionally inactivated mutants of atmB and pbp1A have shown the involvement of these genes in virulence, since the mutants were attenuated in virulence. Understanding the mode of action of these genes will contribute significantly to our knowledge of the adaptive mechanisms used by GAS and perhaps provide an explanation for the resurgence of invasive disease.
This study was supported by an Operating Grant from Connaught Laboratories to, D.G.C. and infrastructure grants from The Canadian Foundation for Innovation and Ontario Innovative Trust. Additional support was provided by a CIHR Strategic Training Fellowship in Cell Signaling in Mucosal Inflammation and Pain (STP-53877). J.D.H and M.H. were supported by NIH/NIDCR RO1 DE13523.
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