![]() | ![]() |
Formats:
|
||||||||||||||||||||||||||||||||||
Copyright Lizano et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Impact of Orthologous Gene Replacement on the Circuitry Governing Pilus Gene Transcription in Streptococci Department of Microbiology and Immunology, New York Medical College, Valhalla, New York, United States of America Abraham L. Sonenshein, Editor Tufts University, United States of America * E-mail: debra_bessen/at/nymc.edu Conceived and designed the experiments: SL FL FKT DEB. Performed the experiments: SL FL FKT. Analyzed the data: SL FL FKT DEB. Contributed reagents/materials/analysis tools: DEB. Wrote the paper: SL FL FKT DEB. ¤aCurrent address: IDEXX Laboratories, Westbrook, Maine, United States of America ¤bCurrent address: Regeneron Pharmaceuticals, Inc., Tarrytown, New York, United States of America Received July 28, 2008; Accepted September 23, 2008. Abstract Background The evolutionary history of several genes of the bacterial pathogen Streptococcus pyogenes strongly suggests an origin in another species, acquired via replacement of the counterpart gene (ortholog) following a recombination event. An example of orthologous gene replacement is provided by the nra/rofA locus, which encodes a key regulator of pilus gene transcription. Of biological importance is the previous finding that the presence of the nra- and rofA-lineage alleles, which are ~35% divergent, correlates strongly with genetic markers for streptococcal infection at different tissue sites in the human host (skin, throat). Methodology/Principal Findings In this report, the impact of orthologous gene replacement targeting the nra/rofA locus is experimentally addressed. Replacement of the native nra-lineage allele with a rofA-lineage allele, plus their respective upstream regions, preserved the polarity of Nra effects on pilus gene transcription (i.e., activation) in the skin strain Alab49. Increased pilus gene transcription in the rofA chimera correlated with a higher rate of bacterial growth at the skin. The transcriptional regulator MsmR, which represses nra and pilus gene transcription in the Alab49 parent strain, has a slight activating effect on pilus gene expression in the rofA chimera construct. Conclusions/Significance Data show that exchange of orthologous forms of a regulatory gene is stable and robust, and pathogenicity is preserved. Yet, new phenotypes may also be introduced by altering the circuitry within a complex transcriptional regulatory network. It is proposed that orthologous gene replacement via interspecies exchange is an important mechanism in the evolution of highly recombining bacteria such as S. pyogenes. Introduction The human pathogen Streptococcus pyogenes (group A streptococci; GAS) has a past history of extensive genetic recombination [1]–[4]. Striking among these genetic changes is the substitution of several genes by an orthologous form originating from another bacterial species [5], [6]. Phylogenetic support for orthologous gene replacements in GAS lies in the occurrence of alleles at a given locus comprising ≥2 discrete lineages, whereby within-lineage sequence divergence is much lower than the between-lineage divergence. Orthologous genes are presumed to share many functions, yet are sufficiently divergent in sequence to confer novel phenotypes. Orthologous gene replacements in S. pyogenes have been documented for loci encoding transcription regulatory proteins (mga, nra/rofA) and the extracellular virulence factor streptokinase (ska) [5], [6]. A presumptive donor species – the commensal-like S. dygalactiae subsp. equisimilis – is a likely source for divergent nra/rofA and ska genes. The GAS alleles found at each of these loci comprise two (mga1/mga2, nra/rofA) or three (ska1/ska2a/ska2b) discrete lineages. Furthermore, the mga, nra/rofA and ska loci occupy distant map positions on the GAS genome and are not physically linked. That orthologous gene replacement at these loci has biological significance is supported by the distribution of the lineage-specific alleles within the GAS population, whereby the mga, nra/rof and ska lineages each display strong linkage with a genetic marker for tissue site preference for infection at the throat or skin [5], [6]; the observed linkage disequilibrium occurs against a background of highly random associations between housekeeping genes [2]. The epithelium of the throat and skin of the human host constitutes the primary ecological niche for GAS. Genetic markers for tissue site preferences for infection lie within the emm region (denoted emm pattern), and are used to define throat specialist (emm pattern A–C), skin specialist (emm pattern D) and generalist (emm pattern E) strains, with each group having a predilection for causing infection at their respective tissue sites [7]. The correlation between emm pattern group and streptococcal disease at superficial tissue sites – pharyngitis and impetigo – finds strong support in numerous population-based surveillance studies (reviewed in [8]). The mga locus, comprised of two orthologous allelic forms, lies adjacent to the emm region. The physically distant nra/rofA locus encodes a stand-alone transcriptional response regulator of FCT-region genes, encoding the proteins needed for biosynthesis of surface pili [9]–[13]. Nra and RofA have been characterized as both activators and repressors, depending on the GAS strain [14], [15]. The nra-lineage alleles of the nra/rofA locus show a statistically significant association with the emm pattern D skin specialist strains, whereas the rofA-lineage alleles are largely confined to the pattern A–C and E strains of throat specialists and generalists, respectively [5]. Therefore, is it reasonable to postulate that orthologous gene replacement at the nra/rofA locus was a pivotal step in establishing tissue site preferences for infection. Precisely how the skin specialist phenotype emerged from a throat specialist or generalist phenotype, or vice versa, is difficult to know because phylogenetic relationships can be masked by the high levels of recombination characteristic of this species. The goal of this study is to experimentally reconstruct a genotype that represents a plausible intermediate step in the evolution of the tissue-specific infection phenotypes displayed by modern-day GAS. To this end, the nra allele of a pattern D skin specialist strain was replaced with a rofA allele, and its impact on transcriptional regulatory circuits and biological behavior was assessed. Results Replacement of nra with rofA preserves pilus gene transcription The first objective is to experimentally reconstruct a genotype that could plausibly represent an intermediate form in the evolutionary history of S. pyogenes [5], [10]. The nra gene of the classic skin strain Alab49 (M protein type 53, M53; FCT-3 region form) was chromosomally replaced with the rofA gene from the classic throat strain D471 (M protein type 6, M6; FCT-1 region form), using the Δnra mutant as a recipient (Figure 1A–B
RNA transcript levels for the cpa through fctB series of FCT-region genes, encoding proteins necessary for pilus structure and assembly, was measured by qRT-PCR for both Alab49 rofA::aad9 and wt Alab49 containing the nra gene (Table 1). The rofA-containing chimera displayed a substantial increase in transcript abundance relative to wt Alab49. No remarkable change in transcript levels was observed for the FCT-region genes msmR or prtF2 (Table 1); ratios >2- or <0.5-fold are considered to be of probable biological significance.
The absence of a polar effect on transcription of the non-FCT-region gene hsp33, lying immediately downstream of aad9 in the Alab49 rofA::aad9 construct (Figure 1B
Elevation in the level of pilus gene transcription in Alab49 rofA::aad9 was most profound during the exponential phase of growth, ranging from ~14- to 44-fold increases over wt (Table 1). For stationary phase cultures, the increases in pilus gene transcript abundance ranged from ~6- to 19-fold. The differences in relative transcript abundance for mid log versus stationary phase cultures were statistically significant for most of the cpa through fctB genes. Therefore, activation of pilus gene expression in the Alab49 rofA::aad9 construct appears to peak during exponential growth. Consistent with the qRT-PCR findings, immunoblot analysis of cell extracts of Alab49 rofA::aad9 showed increased immunoreactivity to proteins comprising the polymeric ladder corresponding to the pilus-associated protein Cpa (Figure 2A
As reported previously [14], the Alab49 Δnra mutant exhibits a large loss in the quantity of the pilus-associated polymeric ladder, whereas the Alab49 nra::aad9 replacement mutant restores the wt Alab49 phenotype (Figures 2A Taken together, the data demonstrate that replacement of the kanamycin-resistance gene aphA3 in the Δnra mutant, with rofA plus the modified rofA-cpa intergenic region (plus aad9), results in the restoration of pilus gene transcription. Furthermore, the Alab49 rofA::aad9 construct exhibits a substantial increase both in transcription of the cpa through fctB series of genes and pilus-like protein biosynthesis, relative to the Nra-dependent levels observed for the wt Alab49 strain. Importantly, RofA provides a functional substitute for Nra activation of pilus gene expression in this particular S. pyogenes strain background. Alab49 rofA::aad9 has an elevated growth rate at the skin The humanized mouse model for GAS impetigo provides a highly sensitive and specific measure for an infectious process that closely mimics the pathological changes observed in natural human disease [8], [17]–[21]; a drawback is that it is not high throughput. Human skin grafts present on SCID mice are gently scratched and bacteria are topically applied. Histopathology scoring for erosion of the epidermis and infiltration of neutrophils reveals a significant correlation with the net increase or decrease in colony forming units (cfus) recovered from skin grafts following tissue biopsy at 7 days (d) post-inoculation. The net change in the number of cfus, from the time of inoculation to biopsy, is the primary quantitative outcome measure for this assay and it reflects the short term fitness of the organism. The Alab49 rofA::aad9 construct was tested for virulence in the humanized mouse model for skin infection (Figure 3
The total number of cfu recovered from skin grafts at 7 d for wt Alab49 versus Alab49 rofA::aad9 was similar, irrespective of the inoculum dose, yielding an overall mean average of 2.2×107 cfus (t = 0.85, for wt versus rofA::aad9; unpaired, 2-tailed). Since 7 d post-inoculation appears to be a saturating time point for bacterial growth at the skin by virulent strains, an earlier biopsy time was also examined.Equivalent doses of ~2,500 cfus of wt and Alab49 rofA::aad9 grown to mid-log phase were used to inoculate skin grafts that underwent biopsy 48 hours (h) later; with this size inoculum, approximately 13 population doublings are projected for saturated bacterial growth at the skin. At 48 h, wt Alab49 had undergone a mean average of 1.7±1.1 population doublings (Figure 4
As a control, the bacterial growth curves in enriched broth were found to be nearly identical for wt Alab49 and the rofA::aad9 construct (data not shown). In summary, the Alab49 rofA::aad9 chimera, which over-expresses the polymeric pilus proteins, displays a higher growth rate during the initial stages of infection at the skin. Pilus polymer quantity does not strictly correlate with growth rate at the skin The higher growth rate of Alab49 rofA::aad9 at the skin relative to wt (Figure 4 To more precisely address whether the quantity of pilus polymer corresponds to the differences in bacterial growth at the skin, ΔfctA-infected grafts were examined at earlier time points, before saturated growth was attained; inoculums were prepared from mid log phase cultures. At 48 h post-inoculation, the ΔfctA mutant underwent an average of 1.1±2.0 population doublings (Figure S2). The difference between the ΔfctA mutant and wt Alab49 (Figure 4 The findings on the Alab49 ΔfctA mutant support the notion that the effect of RofA on bacterial growth at the skin is not dependent on the pilus structure. Key factors underlying the altered biological phenotype may be virulence factors encoded by genes outside of the FCT-region. Alternatively, FCT-region proteins that are not necessarily in a pilus form may be critical, such as Cpa, whose expression is enhanced in Alab49 rofA::aad9 (Table 1) and which plays a crucial role in virulence in the humanized mouse when inoculated during logarithmic phase, despite loss of the polymeric pilus structure in the Δcpa mutant [17]. Effect of Alab49 rofA::aad9 on non-FCT region genes The effect of replacement of nra with rofA on transcription outside the FCT region was assessed for genes previously shown to be essential for Alab49 virulence in the humanized mouse [18], [19], [21]. No difference in the abundance of mga, pam, speB or ska transcripts in Alab49 rofA::aad9 was observed, relative to wt Alab49 (Table 2). As further confirmation, tests for secreted cysteine protease and bacterial-bound plasmin activity showed no significant difference between rofA::aad9 and wt (data not shown). The quantity of hyaluronic acid capsule, a key virulence factor whose regulation of expression is complex, was also close to equivalent for the rofA chimeric construct, yielding 18.0 and 20.2 fg of hyaluronic acid per cfu for wt Alab49 and rofA::aad9, respectively. The data indicate that in strain Alab49, the substitution of nra with rofA has no detectable effect on several other key virulence phenotypes that are known to be critical for skin infection by GAS. Transcriptional start sites in the Alab49 rofA::aad9 construct The possible mechanisms by which pilus gene transcription is enhanced in the Alab49 rofA::aad9 chimeric construct were examined in greater depth. The 522 bp rofA-cpa intergenic region of Alab49 rofA::aad9 has an additional set of potential promoter sites for pilus gene transcription (Figure 1C The UP-1 PCR amplification includes a forward primer that matches the start of the 256 bp cpa upstream region, lying at a position equivalent to the prtF1 start codon in the M6 strain from which the 266 bp region immediately upstream of rofA was derived (Figure 1C
To further localize the cpa transcriptional start site in wt Alab49, additional oligonucleotide primers were tested for PCR amplification of the cpa 5′-untranslated region. The UP-2 priming site lies downstream from a putative MsmR-binding site and Pcpa site [12], [22] (Figure 1C That RofA mediates enhanced transcription of the cpa 5′-untranslated region is supported by qRT-PCR results, comparing wt to rofA::aad9, with both the UP-3 and UP-4 priming reactions (Table 3; Figure 1C
Precise localization of the cpa transcriptional start sites in wt Alab49 and the rofA::aad9 construct was achieved by rapid amplification of cDNA ends (RACE). Using a 5′end phosphorylated oligonucleotide primer hybridizing within the cpa ORF, the cpa transcriptional start site was mapped to 214 bp upstream from the TTG start codon in wt Alab49 (Figure 1C Regulatory effects of MsmR within the rofA chimeric construct The 256-bp region upstream of the cpa ORF contains two putative MsmR-binding sites (Figure 1C In contrast to nra in wt Alab49 [14], there is no measurable change in rofA transcription when the rofA::aad9 ΔmsmR mutant is compared to isogenic Alab49 rofA::aad9 (Table 4). Thus, rofA transcription is unaffected by MsmR in the Alab49 rofA::aad9 chimera. But instead of MsmR-mediated repression of pilus gene transcription, the relative abundance of cpa transcript is reduced by slightly more than 2-fold in the rofA::aad9 ΔmsmR mutant for cultures grown to mid log phase. The data suggest that MsmR may have a slight activating effect on cpa transcription in the rofA-harboring construct, and this effect appears to be independent of changes in rofA expression levels.
The activation of pilus gene transcription by MsmR becomes even more apparent when the relative transcript abundance of each rofA-containing construct is calculated based on comparison to wt Alab49 (Figure 6 = 0.006 for cpa and t = 0.045 for fctA; 2-tailed).
The reversal in polarity of MsmR effects on pilus gene expression in Alab49 harboring nra (wt) versus rofA (rofA::aad9) is also evident when the 5′-untranslated region upstream of cpa is evaluated by qRT-PCR. Both the UP-3 and UP-4 primer sets show an increase in transcript abundance of ~2- to 4-fold when the ΔmsmR mutant is compared to wt Alab49 (Table 5), adding further support to the previous finding that MsmR acts as a repressor of cpa transcription in Alab49 containing nra [14]. In contrast, the UP-3 region is diminished in abundance by slightly >2-fold when the rofA::aad9 ΔmsmR mutant is compared to the rofA::aad9 construct. Furthermore, in each of three experiments, the ratio of UP-3 and UP-4 transcripts, relative to wt Alab49, is consistently lower for the rofA::aad9 ΔmsmR mutant versus Alab49 rofA::aad9 (Figure 7
The slight activating effect of MsmR in the rofA-positive background is further substantiated by immunoblot analysis (Figure 8A
Unlike pilus gene transcription, the effect of MsmR in wt Alab49 harboring nra [14] versus the rofA::aad9 ΔmsmR mutant is highly similar for prtF2 transcription. The qRT-PCR data obtained with the rofA::aad9 ΔmsmR mutant demonstrates that MsmR is a potent activator of prtF2 transcription (Table 4). For mid log phase cultures, prtF2 transcript levels are depressed ~20-fold in rofA::aad9 ΔmsmR, relative to the Alab49 isogenic rofA::aad9 construct. Alterations in prtF2 transcript levels are further substantiated by immunoblot analysis, wherein the rofA::aad9 ΔmsmR mutant lacks material that is immunoreactive with antiserum raised to recombinant PrtF2 (Figure 8B In summary, data show that MsmR has a slight activating effect on pilus gene expression in Alab49 rofA::aad9. This is in contrast to its repressor function in wt Alab49 harboring nra [14]. Despite opposite effects of MsmR on the polarity of pilus gene expression in nra-positive versus rofA-positive Alab49 strains, MsmR is a strong activator of prtF2 gene expression in both genetic backgrounds. Pilus gene regulation in Alab49 rofA::aad9 lacking MsmR Since MsmR functions as an activator of pilus gene expression in the rofA chimeric construct, it was of interest to examine transcription in the absence of msmR. This was achieved by comparing relative pilus gene transcript abundance of Alab49 rofA::aad9 ΔmsmR to Alab49 ΔmsmR (Table 6). In the absence of MsmR input function, both cpa and fctA transcript levels were markedly elevated in the RofA-harboring construct, relative to the Nra-positive strain. Thus, the data indicate that enhancement of pilus gene transcription in Alab49 rofA::aad9 is not wholly dependent on MsmR; this finding is not unexpected since the activating effect of MsmR is only slight (Tables 4 and 5).
Strikingly, the logarithmic growth phase peak for enhanced pilus gene expression in the Alab49 rofA::aad9 chimera (Table 1) appears to be abolished in the absence of MsmR (Table 6). Non-significant differences between mid log versus stationary phase cultures were observed for the elevated levels of cpa transcript, relative to Alab49 ΔmsmR, whereas the elevated levels of fctA transcript were significantly higher at stationary phase. Taken together, the data support the idea that the MsmR-mediated component of pilus gene transcriptional activation in Alab49 harboring rofA exerts its effect during exponential growth. Furthermore, the logarithmic growth phase peak for pilus gene transcription in Alab49 rofA::aad9 is dependent on MsmR. In contrast, the MsmR-mediated repression of nra and pilus gene transcription in the wt Alab49 background has no apparent growth phase dependence [14]. Discussion Member organisms of the S. pyogenes species exhibit diversity in their preferred ecological niche for reproductive growth and transmission, which for many strains is either the infected throat or skin of the human host. The strong genetic linkage disequilibrium observed between the nra- versus rofA-lineage transcriptional regulatory genes, and genotypes for preferred tissue site of infection [5], is highly suggestive of a direct link between different gene expression programs and tissue-specific environmental signals and/or adaptive strategies. The divergent RofA plus upstream region is a functional substitute for Nra in terms of activation of pilus gene expression, although the magnitude of the activating effect is markedly enhanced. Surprisingly, the RofA-containing construct of Alab49 exhibited higher short term fitness at the skin, relative to wt Alab49 harboring Nra. The molecular mechanism underlying the RofA-mediated effect may be ascribed to higher levels of Cpa production, a putative collagen binding protein that can be incorporated into the pilus structure [11], [17], [23]. Conceivably, undefined genes lying outside the FCT-region might also be regulated by RofA [24] in Alab49 and thereby, influence GAS infectivity at the skin. However, the amount of pilus polymer produced, as measured by immunoblot, is not a critical determinant of bacterial growth in the humanized mouse. Since bacteria are applied directly to wounded skin, a functional role for pili in transmission and/or the very early stages of a newly acquired infection may be bypassed. The finding of increased short term fitness at the skin by the Alab49 chimera harboring RofA, the orthologous form usually associated with throat specialist and generalist strains of S. pyogenes, was not anticipated. One possible explanation is that the “hypervirulence” detected in the humanized mouse model for impetigo is not evolutionarily favored over the long term in a natural host population. Notably, a higher rate of bacterial growth in the tissue may reduce the length of the time period for infectiousness, leading to a reduction in the basic reproductive rate, Ro [25], [26]. During the natural course of GAS skin infection in humans, the purulent impetiginous lesion transitions to scab formation and a dried out, healed state that is unfavorable for bacterial survival. It would also be interesting to establish whether the Alab49 rofA::aad9 chimera has enhanced virulence at the throat, but this must await development of an animal model for pharyngitis of comparable sensitivity and specificity. The transcriptional regulatory network of S. pyogenes exhibits many differences among strains [5], [15], [27]. The presence versus absence of transcription regulatory (TR) genes and target genes (TG) dictate which connections are even possible. Sequence polymorphisms within those genes/products and cis elements can also have a profound effect on the quality and strength of the TR-TG connections. Furthermore, the nature and strength of the TR-TG connections are dependent on spatial-temporal factors, such as the relative concentrations of each of the interacting regulatory proteins over time. The substitution of nra with rofA, and/or the 430 bp nt nra-cpa intergenic region with the 522 bp rofA-cpa intergenic region, results in a marked change in the strength of the TR-TG connection between the Nra/RofA regulator and the pilus gene target, evidenced by a dramatic increase in the relative ratio of pilus gene transcript abundance. The growth phase peak for this enhanced transcriptional activity (i.e., log phase) in the RofA-positive construct is dependent on MsmR, indicating that MsmR modulates the synchronization of the TR-TG interaction. The regulatory effect of MsmR on the pilus gene target is opposite in the Nra versus RofA background (i.e., repression versus activation), indicative of an important shift in the qualitative nature of the TR-TG connection. The msmR, nra and cpa genes form a feedforward loop network motif in wt Alab49 (Figure 9
Many previous studies on Nra function and nra gene regulation were performed with M-type 49 (M49) organisms [12], [15], [22], [27], [29], in which Nra acts as a repressor of pilus gene transcription. Despite this striking reversal in polarity, the predicted nra protein products of Alab49 and the M49 strain differ at only a single amino acid residue, via an Asn-Lys conserved substitution. Yet, both Nra and RofA present in the Alab49 strain background function as activators of pilus gene expression. Thus, not only is the connection between the TR gene locus (nra/rofA) and the pilus TG maintained following orthologous gene replacement in Alab49, but the qualitative nature of that connection (i.e., activation) is also preserved, despite the high level of sequence divergence (~35%) between Nra and RofA. Experimental manipulation of the TR genes, as demonstrated in this report, underscores the plasticity and robustness of the circuitry in complex regulatory networks. Not only were the ORFs of nra and rofA swapped in the Alab49 background, but so were their divergent upstream regions, which are required for auto-regulatory control [12], [16]. Thus, the differences ascribed to wt Alab49 versus the rofA::aad9 construct may be due directly to RofA activity, cis elements and/or other regulatory factors having input function. In addition to MsmR and Nra/RofA, the transcription regulatory proteins Mga and RALP3 affect transcription of FCT-region genes in at least some strains [27], [29], [30]. However, Alab49 lacks the ralp3 gene and there is no evidence for cross-regulatory effects between Nra and Mga [14], [21], as observed for the M49 strain. Genes encoding Mga, Nra/RofA and the RALPs share a common distant ancestor, and probably evolved by gene duplication and divergence; during evolution, auto-regulation may have given rise to cross-regulation. Other yet-to-be characterized regulators might also influence gene transcription in the FCT-region of Alab49. The importance of orthologous gene replacements in bacterial evolution remains to be fully established. In studies analogous to the work presented on S. pyogenes, the experimental replacement of the Escherichia coli regulatory gene pmrD, with a divergent form derived from Salmonella enterica, results in differential regulation of homologous genes and alterations in a probable niche-determining phenotype [31]. Unlike many bacterial pathogens, S. pyogenes are devoid of pathogenicity islands [32], perhaps because the high recombination rate renders genomic islands unstable. An important evolutionary advantage of recombination is that it allows for a quick exploration of a wide array of genotypes. The vast majority of mutations in bacteria are deleterious, or quickly lost from the population due to random genetic drift. Yet, the Alab49 rofA::aad9 construct acquired a higher level of (short term) fitness at the skin as a result of orthologous gene replacement. Thus, an intermediate genotype harboring rofA in place of nra may be more likely to undergo positive selection and persist, and thereby become more readily available as the recipient of a subsequent genetic event. In general terms, orthologous genes evolve in separate species over long periods and adapt to different ecological niches. Therefore, orthologous gene replacements may play a critical role in the evolution of S. pyogenes, ultimately leading to quantum leaps in phenotype. Materials and Methods Bacterial culture Unless otherwise specified, the M53 strain Alab49 and its isogenic mutants were grown at 30 or 37°C with 5% CO2 in Todd-Hewitt broth supplemented with 1% yeast extract (THY). Bacterial growth was monitored at OD600 nm. Mutant construction Mutants were constructed by allelic exchange mutagenesis following transformation of bacteria with purified linear DNA containing the kanamycin or spectinomycin resistance genes (aphA3 and aad9, respectively). Linear DNA cassettes were constructed by PCR-based fusion assembly and used to transform Alab49 by electroporation [17]. Primers used for construction of mutants are listed in Table S1. Transformants were selected on THY-blood agar plates containing 500 µg/ml of kanamycin or 200 µg/ml of spectinomycin, and evaluated for replacement of the target gene by PCR-based mapping and nt sequence determination. All mutants of Alab49 were confirmed to have growth curves in THY broth identical to that of wt Alab49. Chromosomal replacement in the Δnra mutant, generating the rofA::aad9 construct, was achieved following exchange of the aphA3 gene of the Δnra mutant with the intact rofA gene along with its upstream region, derived from M6 strain D471, plus a spectinomycin resistance gene (aad9) [33] positioned downstream, as depicted in Figure 1 Purification of RNA Bacteria were grown overnight in THY broth, then diluted 1 100 in fresh THY broth and grown to mid-logarithmic, late log or stationary phase. RNA was purified as previously detailed [14]. Samples were treated with DNAse I using the RNAse-free DNAse set (Qiagen) to remove potential traces of DNA in the sample; the absence of contaminating DNA was verified by failure to amplify the purified RNA samples prior to cDNA synthesis, using Taq polymerase and oligonucleotide primers targeting recA. The A260/A280 ratio of each RNA sample was measured to determine concentration and assess purity (i.e., ratio >1.8).Quantitative real time-PCR (qRT-PCR) cDNA was synthesized from 1 µg RNA using the SuperScript III First-Strand Synthesis Supermix for qRT-PCR with random oligonucleotide primers (Invitrogen), as described previously [14]. Primers for qRT-PCR (Table S2) were designed to amplify internal regions (72 to 139 bp) within the ORFs of selected genes or 5′-untranslated regions. The recA gene was used as an internal reference transcription control to normalize expression data for each target gene. Each gene target was tested in duplicate or triplicate, as specified, from ≥2 RNA templates prepared from independent bacterial cultures. Relative expression of each gene was determined by the 2−(ΔΔCT) method [34]. A difference >2-fold or <0.5-fold in transcript abundance was chosen as the threshold value for alterations that are likely to be biologically significant. Non-quantitative PCR amplification Genomic DNA and cDNA, generated from purified RNA as described above, were used as templates for PCR amplification with Taq polymerase according to standards methods [10]. Oligonucleotide primers corresponding to the region upstream of the predicted cpa ORF were paired with CPA-R (5′-CCC CGT TGC AAT ATC AGG TTC TAT ATT ATC ACC ATA ATC ATA ACT ATC CGG CGG); they include UP-F1 (5′-GAA TTC ACT ATT AGA ATA GC), UP-F2 (5′-GAA GGA CCC CAA ATG ACA TAA TC), UP-F3 and UP-F4 (Table S2). Primer CPA-R was also tested in combination with CPA-F (5′- GAA GGT GAC TAC TCT AAA CTT CTA GAG GGA GCA AC), to amplify an internal fragment of the cpa gene. Rapid amplification of cDNA ends (RACE) 5′-end RACE was performed using a kit (TaKaRa Bio Inc.) according to the manufacturer's instructions. Oligonucleotide primers used are: RACERT, 5′-(P)CGA ACG CTC TGA TAG; RACES1, 5′-GGA AGC GCT AAC AAC AAA CG; RACES2, 5′-CGA CGA TCG GAT TAC TGA AAG; RACEA1, 5′-GCA ATA TAT CCT CTC CCT CC; and RACEA2, 5′-CCA CAT AAC AGA CTT AGC TGT C. Primer RACERT hybridizes to sequences corresponding to the cpa ORF and was used with reverse transcriptase for cDNA synthesis from a purified RNA template. Primers RACEA1 and RACES1 were used for the first round of PCR amplification, and RACEA2 and RACES2 were used for the second round. The final PCR-generated amplicons were purified and underwent nt sequence determination. Mutanolysin extraction Cell wall extracts of GAS were prepared using mutanolysin as described [17]; unless otherwise specified, cells were harvested following growth at 30°C to mid-logarithmic phase (OD600 = 0.350±0.05) or stationary phase (16 h).Immunoblots SDS-PAGE was performed on gradient gels (4 to 15% acrylamide) under reducing conditions. Rabbit sera raised to recombinant fusion polypeptides [17] prepared in E. coli and originally derived from strain Alab49 was used at a dilution of 1 1000.T agglutination test The T agglutination test was performed following trypsin treatment of whole bacteria, as described previously [17]. Humanized mouse model for impetigo The human skin-SCID mouse model for streptococcal impetigo was implemented as previously described in extensive detail [14], [17]–[21]. Briefly, human neonatal foreskin was engrafted onto the hind flanks of C.B.-17 scid mice, which fail to reject the xenografts. Healed skin grafts were gently scratched with a scalpel blade and inoculated with 50 µl of bacteria in THY broth. The inoculated bacteria had been freshly grown to mid-logarithmic or stationary phase and diluted as appropriate. The actual inoculum doses were ascertained by serial dilutions performed in duplicate and the number of cfus averaged. Mid-logarithmic phase was defined as the point of ~half-maximal OD600. Stationary phase cultures were incubated for 24 h. Inoculated skin grafts were occluded with a bandage. At specified time points post-inoculation, the human skin grafts were surgically removed from mice, split and each portion weighed. One weighed portion of the graft was evaluated for the number of cfus released following a vigorous vortex, with serial dilutions performed in duplicate. Hyaluronic acid (HA) content The HA content of GAS, attributable to the polysaccharide capsule, was measured according to previously described methods [18]. Statistical analysis Statistical significance was calculated using the t-test, either paired or unpaired, as specified, or the Mann-Whitney U-test (all tests are two-tailed). Both tests are conservative and may slightly underestimate the significance of differences between groups having a small sample size. Figure S1 Immunoblots of bacterial cell extracts. Mutanolysin extracts were prepared from wt Alab49 (lanes 1 and 2), Alab49 Δnra mutant (lanes 3 and 4), Alab49 nra::aad9 construct (lanes 5 and 6), and the Alab49 rofA::aad9 construct (lanes 7 and 8). Immunoblots following SDS-PAGE were reacted with antiserum raised to rFctA (panel A) or rFctB (panel B). Extracts from cells grown to mid-logarithmic phase (4 h at 30°C) are shown in lanes 1, 3, 5 and 7; extracts from cells grown to stationary phase (16 h at 30°C) are shown in lanes 2, 4, 6 and 8. Molecular weight markers are shown (kDal). (0.20 MB TIF) Click here for additional data file.(194K, tif) Figure S2 Absence of assembled pili has no effect growth rate at the skin during early stages of infection. The number of bacterial population doublings (log2 change in cfu) at the skin by 48 or 72 h post-inoculation with mid-logarithmic phase broth cultures of the Alab49 ΔfctA mutant (diamonds). Bars depict average mean values. The mean average inoculum dose and standard deviations are also indicated. (0.06 MB TIF) Click here for additional data file.(57K, tif) Table S1 (0.08 MB PDF) Click here for additional data file.(75K, pdf) Table S2 (0.08 MB PDF) Click here for additional data file.(75K, pdf) Acknowledgments The authors are grateful for the contributions to T-type determination made by Dee Jackson and Bernie Beall (C.D.C.), and the expert technical assistance of Jing Sun and Mayra Cruz-Ithier. Footnotes Competing Interests: The authors have declared that no competing interests exist. Funding: Work was supported by funding from the N.I.H. (R01-AI053826). References 1. Hanage WP, Fraser C, Spratt BG. The impact of homologous recombination on the generation of diversity in bacteria. Journal of Theoretical Biology. 2006;239:210–219. [PubMed] 2. Kalia A, Spratt BG, Enright MC, Bessen DE. Influence of recombination and niche separation on the population genetic structure of the pathogen Streptococcus pyogenes. Infect Immun. 2002;70:1971–1983. [PubMed] 3. Feil EJ, Holmes EC, Bessen DE, Chan M-S, Day NPJ, et al. Recombination within natural populations of pathogenic bacteria: short-term empirical estimates and long-term phylogenetic consequences. Proc Natl Acad Sci, USA. 2001;98:182–187. [PubMed] 4. Lefebure T, Stanhope MJ. Evolution of the core and pan-genome of Streptococcus: positive selection, recombination, and genome composition. Genome Biol. 2007;8:R71. [PubMed] 5. Bessen DE, Manoharan A, Luo F, Wertz JE, Robinson DA. Evolution of transcription regulatory genes is linked to niche specialization in the bacterial pathogen Streptococcus pyogenes. Journal of Bacteriology. 2005;187:4163–4172. [PubMed] 6. Kalia A, Bessen DE. Natural Selection and Evolution of Streptococcal Virulence Genes Involved in Tissue-Specific Adaptations. J Bacteriol. 2004;186:110–121. [PubMed] 7. McGregor KF, Spratt BG, Kalia A, Bennett A, Bilek N, et al. Multi-locus sequence typing of Streptococcus pyogenes representing most known emm-types and distinctions among sub-population genetic structures. J Bacteriol. 2004;186:4285–4294. [PubMed] 8. Bessen DE, McGregor KF, Whatmore AM. Relationships between emm and multilocus sequence types within a global collection of Streptococcus pyogenes. BMC Microbiol. 2008;8:59. [PubMed] 9. Bessen DE, Kalia A. Genomic localization of a T-serotype locus to a recombinatorial zone encoding extracellular matrix-binding proteins in Streptococcus pyogenes. Infect Immun. 2002;70:1159–1167. [PubMed] 10. Kratovac Z, Manoharan A, Luo F, Lizano S, Bessen DE. Population genetics and linkage analysis of loci within the FCT region of Streptococcus pyogenes. J Bacteriol. 2007;189:1299–1310. [PubMed] 11. Mora M, Bensi G, Capo S, Falugi F, Zingaretti C, et al. Group A Streptococcus produce pilus-like structures containing protective antigens and Lancefield T antigens. Proc Natl Acad Sci U S A. 2005;102:15641–15646. [PubMed] 12. Podbielski A, Woischnik M, Leonard BAB, Schmidt KH. Characterization of nra, a global negative regulator gene in group A streptococci. Mol Microbiol. 1999;31:1051–1064. [PubMed] 13. Fogg GC, Gibson CM, Caparon MG. The identification of rofA, a positive-acting regulatory component of prtF expression: use of an mu-gamma-delta-based shuttle mutagenesis strategy in Streptococcus pyogenes. Mol Microbiol. 1994;11:671–684. [PubMed] 14. Luo F, Lizano S, Bessen DE. Heterogeneity in the polarity of Nra regulatory effects on streptococcal pilus gene transcription and virulence. Infect Immun. 2008;76:2490. [PubMed] 15. Kreikemeyer B, Beckert S, Braun-Kiewnick A, Podbielski A. Group A streptococcal RofA-type global regulators exhibit a strain-specific genomic presence and regulation pattern. Microbiology. 2002;148:1501–1511. [PubMed] 16. Granok A, Parsonage D, Ross R, Caparon M. The RofA binding site in Streptococcus pyogenes is utilized in multiple transcriptional pathways. J Bacteriol. 2000;182:1529–1540. [PubMed] 17. Lizano S, Luo F, Bessen DE. Role of streptococcal T-antigens in superficial skin infection. J Bacteriol. 2007;189:1426–1434. [PubMed] 18. Svensson MD, Sjobring U, Luo F, Bessen DE. Roles of the plasminogen activator streptokinase and plasminogen-associated M protein in an experimental model for streptococcal impetigo. Microbiology. 2002;148:3933–3945. [PubMed] 19. Svensson MD, Scaramuzzino DA, Sjobring U, Olsen A, Frank C, et al. Role for a secreted cysteine proteinase in the establishment of host tissue tropism by group A streptococci. Mol Microbiol. 2000;38:242–253. [PubMed] 20. Scaramuzzino DA, McNiff JM, Bessen DE. Humanized in vivo model for streptococcal impetigo. Infect Immun. 2000;68:2880–2887. [PubMed] 21. Luo F, Lizano S, Banik S, Zhang H, Bessen DE. Role of Mga in group A streptococcal infection at the skin epithelium. Microb Pathog. 2008;45:217–224. [PubMed] 22. Nakata M, Podbielski A, Kreikemeyer B. MsmR, a specific positive regulator of the Streptococcus pyogenes FCT pathogenicity region and cytolysin-mediated translocation system genes. Mol Microbiol. 2005;57:786–803. [PubMed] 23. Kreikemeyer B, Nakata M, Oehmcke S, Gschwendtner C, Normann J, et al. Streptococcus pyogenes collagen type I-binding Cpa surface protein - Expression profile, binding characteristics, biological functions, and potential clinical impact. Journal of Biological Chemistry. 2005;280:33228–33239. [PubMed] 24. Beckert S, Kreikemeyer B, Podbielski A. Group A streptococcal rofA gene is involved in the control of several virulence genes and eukaryotic cell attachment and internalization. Infect Immun. 2001;69:534–537. [PubMed] 25. Anderson R, May R. Infectious Diseases of Humans: Dynamics and Control. Oxford: Oxford University Press; 1991. 26. Anderson RM. Analytic theory of epidemics. In: Krause RM, editor. Emerging Infections. New York: Academic Press; 1998. pp. 23–50. 27. Kreikemeyer B, McIver KS, Podbielski A. Virulence factor regulation and regulatory networks in Streptococcus pyogenes and their impact on pathogen-host interactions. Trends in Microbiology. 2003;11:224–232. [PubMed] 28. Alon U. Network motifs: theory and experimental approaches. Nat Rev Genet. 2007;8:450–461. [PubMed] 29. Kreikemeyer B, Nakata M, Koller T, Hildisch H, Kourakos V, et al. The Streptococcus pyogenes serotype M49 Nra-Ralp3 transcriptional regulatory network and its control on virulence factor expression from the novel ERES pathogenicity region. Infect Immun. 2007;75:5698–5710. [PubMed] 30. Kwinn LA, Khosravi A, Aziz RK, Timmer AM, Doran KS, et al. Genetic characterization and virulence role of the RALP3/LSA locus upstream of the streptolysin s operon in invasive M1T1 Group A Streptococcus. J Bacteriol. 2007;189:1322–1329. [PubMed] 31. Winfield MD, Groisman EA. Phenotypic differences between Salmonella and Escherichia coli resulting from the disparate regulation of homologous genes. Proc Natl Acad Sci U S A. 2004;101:17162–17167. [PubMed] 32. Schmidt H, Hensel M. Pathogenicity islands in bacterial pathogenesis. Clin Microb Rev. 2004;17:14–56. 33. LeBlanc DJ, Lee LN, Inamine JM. Cloning and nucleotide base sequence analysis of a spectinomycin adenyltransferase aad9 determinant from Enterococcus faecalis. Antimicrob Agents Chemother. 1991;35:1804–1810. [PubMed] 34. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(−Δ Δ C(t)) method. Methods. 2001;25:402–408. [PubMed] |
PubMed related articles
Your browsing activity is empty. Activity recording is turned off. |
|||||||||||||||||||||||||||||||||
J Theor Biol. 2006 Mar 21; 239(2):210-9.
[J Theor Biol. 2006]Genome Biol. 2007; 8(5):R71.
[Genome Biol. 2007]J Bacteriol. 2005 Jun; 187(12):4163-72.
[J Bacteriol. 2005]J Bacteriol. 2004 Jan; 186(1):110-21.
[J Bacteriol. 2004]J Bacteriol. 2005 Jun; 187(12):4163-72.
[J Bacteriol. 2005]J Bacteriol. 2004 Jan; 186(1):110-21.
[J Bacteriol. 2004]Infect Immun. 2002 Apr; 70(4):1971-83.
[Infect Immun. 2002]J Bacteriol. 2004 Jul; 186(13):4285-94.
[J Bacteriol. 2004]BMC Microbiol. 2008 Apr 11; 8():59.
[BMC Microbiol. 2008]Infect Immun. 2002 Mar; 70(3):1159-67.
[Infect Immun. 2002]Mol Microbiol. 1994 Feb; 11(4):671-84.
[Mol Microbiol. 1994]Infect Immun. 2008 Jun; 76(6):2490-7.
[Infect Immun. 2008]Microbiology. 2002 May; 148(Pt 5):1501-11.
[Microbiology. 2002]J Bacteriol. 2005 Jun; 187(12):4163-72.
[J Bacteriol. 2005]J Bacteriol. 2005 Jun; 187(12):4163-72.
[J Bacteriol. 2005]J Bacteriol. 2007 Feb; 189(4):1299-310.
[J Bacteriol. 2007]J Bacteriol. 2000 Mar; 182(6):1529-40.
[J Bacteriol. 2000]Mol Microbiol. 1999 Feb; 31(4):1051-64.
[Mol Microbiol. 1999]J Bacteriol. 2000 Mar; 182(6):1529-40.
[J Bacteriol. 2000]Mol Microbiol. 2005 Aug; 57(3):786-803.
[Mol Microbiol. 2005]Infect Immun. 2008 Jun; 76(6):2490-7.
[Infect Immun. 2008]J Bacteriol. 2007 Feb; 189(4):1426-34.
[J Bacteriol. 2007]Infect Immun. 2008 Jun; 76(6):2490-7.
[Infect Immun. 2008]Proc Natl Acad Sci U S A. 2005 Oct 25; 102(43):15641-6.
[Proc Natl Acad Sci U S A. 2005]J Bacteriol. 2007 Feb; 189(4):1426-34.
[J Bacteriol. 2007]BMC Microbiol. 2008 Apr 11; 8():59.
[BMC Microbiol. 2008]J Bacteriol. 2007 Feb; 189(4):1426-34.
[J Bacteriol. 2007]Microb Pathog. 2008 Sep; 45(3):217-24.
[Microb Pathog. 2008]Infect Immun. 2008 Jun; 76(6):2490-7.
[Infect Immun. 2008]Infect Immun. 2008 Jun; 76(6):2490-7.
[Infect Immun. 2008]J Bacteriol. 2007 Feb; 189(4):1426-34.
[J Bacteriol. 2007]J Bacteriol. 2007 Feb; 189(4):1426-34.
[J Bacteriol. 2007]Microbiology. 2002 Dec; 148(Pt 12):3933-45.
[Microbiology. 2002]Mol Microbiol. 2000 Oct; 38(2):242-53.
[Mol Microbiol. 2000]Microb Pathog. 2008 Sep; 45(3):217-24.
[Microb Pathog. 2008]Mol Microbiol. 1999 Feb; 31(4):1051-64.
[Mol Microbiol. 1999]Mol Microbiol. 2005 Aug; 57(3):786-803.
[Mol Microbiol. 2005]Infect Immun. 2008 Jun; 76(6):2490-7.
[Infect Immun. 2008]Infect Immun. 2008 Jun; 76(6):2490-7.
[Infect Immun. 2008]Infect Immun. 2008 Jun; 76(6):2490-7.
[Infect Immun. 2008]Infect Immun. 2008 Jun; 76(6):2490-7.
[Infect Immun. 2008]Infect Immun. 2008 Jun; 76(6):2490-7.
[Infect Immun. 2008]Infect Immun. 2008 Jun; 76(6):2490-7.
[Infect Immun. 2008]J Bacteriol. 2005 Jun; 187(12):4163-72.
[J Bacteriol. 2005]Proc Natl Acad Sci U S A. 2005 Oct 25; 102(43):15641-6.
[Proc Natl Acad Sci U S A. 2005]J Bacteriol. 2007 Feb; 189(4):1426-34.
[J Bacteriol. 2007]J Biol Chem. 2005 Sep 30; 280(39):33228-39.
[J Biol Chem. 2005]Infect Immun. 2001 Jan; 69(1):534-7.
[Infect Immun. 2001]J Bacteriol. 2005 Jun; 187(12):4163-72.
[J Bacteriol. 2005]Microbiology. 2002 May; 148(Pt 5):1501-11.
[Microbiology. 2002]Trends Microbiol. 2003 May; 11(5):224-32.
[Trends Microbiol. 2003]Infect Immun. 2008 Jun; 76(6):2490-7.
[Infect Immun. 2008]Nat Rev Genet. 2007 Jun; 8(6):450-61.
[Nat Rev Genet. 2007]Infect Immun. 2008 Jun; 76(6):2490-7.
[Infect Immun. 2008]Mol Microbiol. 1999 Feb; 31(4):1051-64.
[Mol Microbiol. 1999]Microbiology. 2002 May; 148(Pt 5):1501-11.
[Microbiology. 2002]Mol Microbiol. 2005 Aug; 57(3):786-803.
[Mol Microbiol. 2005]Trends Microbiol. 2003 May; 11(5):224-32.
[Trends Microbiol. 2003]Infect Immun. 2007 Dec; 75(12):5698-710.
[Infect Immun. 2007]Mol Microbiol. 1999 Feb; 31(4):1051-64.
[Mol Microbiol. 1999]J Bacteriol. 2000 Mar; 182(6):1529-40.
[J Bacteriol. 2000]Trends Microbiol. 2003 May; 11(5):224-32.
[Trends Microbiol. 2003]Infect Immun. 2007 Dec; 75(12):5698-710.
[Infect Immun. 2007]J Bacteriol. 2007 Feb; 189(4):1322-9.
[J Bacteriol. 2007]Proc Natl Acad Sci U S A. 2004 Dec 7; 101(49):17162-7.
[Proc Natl Acad Sci U S A. 2004]J Bacteriol. 2007 Feb; 189(4):1426-34.
[J Bacteriol. 2007]Antimicrob Agents Chemother. 1991 Sep; 35(9):1804-10.
[Antimicrob Agents Chemother. 1991]Infect Immun. 2008 Jun; 76(6):2490-7.
[Infect Immun. 2008]J Bacteriol. 2007 Feb; 189(4):1426-34.
[J Bacteriol. 2007]Infect Immun. 2008 Jun; 76(6):2490-7.
[Infect Immun. 2008]Infect Immun. 2008 Jun; 76(6):2490-7.
[Infect Immun. 2008]Methods. 2001 Dec; 25(4):402-8.
[Methods. 2001]J Bacteriol. 2007 Feb; 189(4):1299-310.
[J Bacteriol. 2007]J Bacteriol. 2007 Feb; 189(4):1426-34.
[J Bacteriol. 2007]J Bacteriol. 2007 Feb; 189(4):1426-34.
[J Bacteriol. 2007]J Bacteriol. 2007 Feb; 189(4):1426-34.
[J Bacteriol. 2007]Infect Immun. 2008 Jun; 76(6):2490-7.
[Infect Immun. 2008]J Bacteriol. 2007 Feb; 189(4):1426-34.
[J Bacteriol. 2007]Microb Pathog. 2008 Sep; 45(3):217-24.
[Microb Pathog. 2008]Microbiology. 2002 Dec; 148(Pt 12):3933-45.
[Microbiology. 2002]