Streptococcus pyogenes, is an important human pathogen classified within the pyogenic group of streptococci, exclusively adapted to the human host. Our goal was to employ a comparative evolutionary approach to better understand the genomic events concomitant with S. pyogenes human adaptation. As part of ascertaining these events, we sequenced the genome of one of the potential sister species, the agricultural pathogen S. canis, and combined it in a comparative genomics reconciliation analysis with two other closely related species, Streptococcus dysgalactiae and Streptococcus equi, to determine the genes that were gained and lost during S. pyogenes evolution. Genome wide phylogenetic analyses involving 15 Streptococcus species provided convincing support for a clade of S. equi, S. pyogenes, S. dysgalactiae, and S. canis and suggested that the most likely S. pyogenes sister species was S. dysgalactiae. The reconciliation analysis identified 113 genes that were gained on the lineage leading to S. pyogenes. Almost half (46%) of these gained genes were phage associated and 14 showed significant matches to experimentally verified bacteria virulence factors. Subsequent to the origin of S. pyogenes, over half of the phage associated genes were involved in 90 different LGT events, mostly involving different strains of S. pyogenes, but with a high proportion involving the horse specific pathogen S. equi subsp. equi, with the directionality almost exclusively (86%) in the S. pyogenes to S. equi direction. Streptococcus agalactiae appears to have played an important role in the evolution of S. pyogenes with a high proportion of LGTs originating from this species. Overall the analysis suggests that S. pyogenes adaptation to the human host was achieved in part by (i) the integration of new virulence factors (e.g. speB, and the sal locus) and (ii) the construction of new regulation networks (e.g. rgg, and to some extent speB).
Citation: Lefébure T, Richards VP, Lang P, Pavinski-Bitar P, Stanhope MJ (2012) Gene Repertoire Evolution of Streptococcus pyogenes Inferred from Phylogenomic Analysis with Streptococcus canis and Streptococcus dysgalactiae. PLoS ONE 7(5): e37607. https://doi.org/10.1371/journal.pone.0037607
Editor: Michael Chaussee, University of South Dakota, United States of America
Received: January 18, 2012; Accepted: April 24, 2012; Published: May 30, 2012
Copyright: © 2012 Lefebure 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.
Funding: This work was supported by the National Institute of Allergy and Infectious Disease, U.S. National Institutes of Health, under Grant No. AI073368-01A2 awarded to M.J.S. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Streptococcus pyogenes is a leading human pathogen responsible for illness ranging from mild skin and respiratory infections (e.g. pharyngitis and impetigo) to life-threatening invasive (e.g. pneumonia, septicemia, streptococcal toxic shock syndrome, necrotizing fasciitis), and post-infection diseases (e.g. acute rheumatic fever, paediatric autoimmune neuropsychiatric disorders). Many different serotypes and strains have been described, with some being linked to particular disease. For example, strains causing necrotizing fasciitis are largely serotype M1 and M3 , while M18 is often linked to acute rheumatic fever , and M28 to puerperal sepsis . As part of attempts to understand the nature of this diversity, 12 complete and one draft genome have been sequenced (11 complete at the beginning of this study) , , , , , , , , , . The publications associated with these genomes have suggested links between lisogenic phages, and the virulence factors they are carrying, to specific diseases. A long and detailed list of S. pyogenes virulence factors is now available (e.g. ). Information is now available regarding the genomic repertoire of S. pyogenes (e.g. , the link between some virulence factors and disease , , and the history of lateral gene transfer for some of the loci (e.g. , , . Nonetheless, many of the molecular details related to the adaptive specifics of this organism remain unknown. S. pyogenes is classified within the pyogenic group, which is currently composed of 12 species of Streptococcus , which inhabit various species of mammals (e.g. bovine, dogs, cats, horse, swine, humans). Most species of the pyogenic group are found in a range of different hosts. S. pyogenes is unusual in that it is only found in humans.
The putative sister group to S. pyogenes is uncertain. There is phylogenetic evidence suggesting it could be S. canis , or Streptococcus dysgalactiae . Whatever the precise evolutionary history, with ribosomal sequence divergence of around 3%, these three taxa are clearly very closely related . S. canis colonizes a variety of hosts including dogs, cats, and cows, with few reported human infections , . In addition to causing bovine mastitis , S. canis shares with S. pyogenes the potential to cause similar disease, such as respiratory tract infections , streptococcal toxic shock syndrome , endocarditis , and necrotizing fasciitis . Streptococcus dysgalactiae includes two subspecies, Streptococcus dysgalactiae subsp dysgalactiae and Streptococcus dysgalactiae subsp equisimilis. S. dysgalactiae subsp. equisimilis, was primarily regarded as a human commensal organism  but is now recognized as an increasingly important human pathogen, linked to a spectrum of human diseases including cellulitis, peritonitis, septic arthritis, pneumonia, endocarditis, acute pharyngitis, bacteremia, and toxic shock syndrome , which, like S. canis, includes several infections similar to those caused by S. pyogenes. S. dysgalactiae subsp. dysgalactiae on the other hand, is strictly an animal pathogen and a major cause of bovine mastitis. Given the overall lack of host specific adaptation of the taxa within the pyogenic group, concomitant with the characteristics of S. canis and S. dysgalactiae, it is likely that the ancestor to S. pyogenes was not a strict human pathogen, if not a human pathogen at all. This suggests that one of the principal factors in the evolution of S. pyogenes was its strict adaptation to the human host.
The sequenced S. pyogenes genomes have facilitated the identification of many of the molecular features associated with strain and serotype differentiation, but it remains unclear what makes S. pyogenes a strict human pathogen compared to many of the host generalists typical of the pyogenic group. An improved understanding of this issue is important in any attempt to develop a broad medical strategy, such as a GAS vaccine (GAS: group A streptococcus). In this study, we describe the genomic features that evolved since the divergence of S. pyogenes from its closest relatives, in an attempt to understand the molecular details associated with S. pyogenes development as a strict human pathogen. For this purpose we sequenced the S. canis genome and combined it in comparative analysis with genome sequence data from the closely related taxa S. pyogenes, S. dysgalactiae, and S. equi. A closely related taxon provides the ability to ascribe to the S. pyogenes branch the specific features of S. pyogenes evolution. The use of a less closely related taxon as a reference (e.g. one of the publicly available S. agalactiae genomes) would yield a less accurate description because it would merge the evolutionary history of several lineages (e.g. S. canis, S. agalactiae, S. iniae and S. equi). More specifically, our purpose was to (1) provide a rigorous genome based phylogenetic perspective on identifying the S. pyogenes sister group and (2) identify the genes that were gained and lost along the S. pyogenes lineage after the divergence of S. pyogenes from its closest relatives.
Materials and Methods
Genome sequencing and annotation
Streptococcus canis strain FSL Z3-227 was isolated in New York State in 1999 from the milk of dairy cows associated with an outbreak of mastitis . Based on results from bacterial culture and ribotyping, a farm cat with chronic sinusitus was the likely source of the outbreak . The S. canis genome was sequenced using 454 pyrosequencing  on a FLX sequencer. A total of 128,749 single end reads and 140,788 paired-end reads assembled into 91 contigs (>200 bp) and 8 scaffolds, representing an average 23× site coverage. A physical map of the genome was determined by OpGen Technologies, Inc. (Madison, WI) using restriction enzyme BgIII and the optical mapping technique. The order and orientation of the scaffolds was determined by aligning the scaffold on the optical map using Opgen Mapviewer. Small inter and intra-scaffold gaps were closed by PCR and sequenced using Sanger sequencing, while 7 large gaps were amplified with long range PCR and sequenced on the Illumina GA2 sequencer. The Illumina reads were assembled with Velvet  using a large range of parameters and the best assembly was selected using the N50 statistic. Genome annotation was done by NCBI Prokaryotic Genomes Automatic Annotation. This pipeline is composed of HMM-based gene prediction methods and employs a sequence similarity-based approach involving comparison of the predicted gene products to the non-redundant protein database, Entrez Protein Clusters, the Conserved Domain Database, and the COGs (Clusters of Orthologous Groups). This Whole Genome Shotgun project has been deposited at DDBJ/EMBL/GenBank under the accession AIDX00000000. The version described in this paper is the first version, AIDX01000000.
All the complete Streptococcus genomes available at the time of this study were collected from NCBI (Table 1). Orthologs were delimited using OrthoMCL2 , with post-processing as detailed elsewhere , . Briefly, reciprocal BLASTp was performed within and between all genome pairs (e-value cut-off = 1E-5). The resulting e-values were then used to build a normalized similarity matrix, which was analyzed using a Markov Cluster algorithm to delineate proteins into clusters containing sets of orthologs and recent paralogs . Proteins were considered recent paralogs if they were more similar to each other than to any protein from another genome. Fragmented protein sequences, such as those that span separate contigs or insertion sequences, can be erroneously categorized as distinct orthologs. To correct for this, clusters containing single proteins were not considered distinct orthologs (rather fragments of the same protein) if they met the following criteria: (i) showed strong homology with another cluster (i.e. could potentially group together to form a single orthologous cluster), (ii) failed to group together because the protein clustering independently, showed no reciprocal BLASTp hit with one of the proteins in the second cluster, (iii) the two proteins showing no reciprocal BLASTp hit originated from the same genome. Proteins that were larger than 30 amino acids and had no BLASTp hit with any other protein were considered strain specific (E-value≤1e-10). Clusters were annotated by merging annotation of sequences from the same cluster. Potential virulence factors were searched via BLASTp against the VFDB database  using the longest sequence of each cluster. Clusters were aligned as described elsewhere . Briefly, sequences are translated into proteins, aligned with Probalign , backtranslated into DNA, and sites with low posterior probability masked. Clusters with more than 50% of their sites masked are disregarded from any downstream analysis.
Gene trees and species tree reconstruction
Gene trees were reconstructed for all the clusters composed of more than 2 sequences using PhyML  with a GTR+G+I model of evolution and the SPR tree search heuristic, with 500 pseudo bootstrap replicates. Total evidence (concatenation of the core genes) and core-gene tree consensus approaches were first used to tentatively infer a species tree. Level of concordance between core gene trees was also assessed using Bucky  on a reduced data-set: S. canis, S. dysgalactiae, S. equi and two S. pyogenes (spy1 and spy2, Table 1). For each gene independently, MrBayes  was used to obtain gene tree posterior probabilities, then Bucky takes into account gene tree concordance, providing a revised posterior probability distribution for each gene and estimates the proportion of the core genes for which any given clade is true.
To reconstruct the history of genomic events associated with the emergence of the different pyogenic species, we used the reconciliation approach AnGST . Using a species tree, AnGST reconciles a gene tree with the species tree using a generalized parsimony criterion to infer a minimal set of evolutionary events including gene birth, speciation, gene loss, gene duplication and lateral gene transfer. All the clusters composed of more than two sequences were analyzed by AnGST using the three most common gene trees as species tree and default parameters. These three trees involved different relationships for S. pyogenes, S. canis, and S. dysgalactiae: (spy,sde)sca; (spy,sca)sde; (sca,sde)spy. Inference errors due to phylogenetic uncertainty were minimized by incorporating 500 pseudo-bootstrap replicates per gene. The focus of our examination is the S. pyogenes branch, and if an evolutionary event (gene gain, loss etc.) for this branch was judged the same irrespective of which of the three topologies was considered, it was evaluated as robust. Despite the fact there is one topology that is more likely (described below), we adopted this conservative approach, since there is, nonetheless, some uncertainty in the sister group relationship to S. pyogenes involving these taxa. A significant proportion of the genes gained on the S. pyogenes branch were phage associated. Using the tree with the most likely topology - (spy,sde)sca - we further investigated, using this same AnGST approach, the history of these phage associated genes after they were gained on the spy branch.
Results and Discussion
Gene trees and species tree
Independent gene tree reconstruction for the Streptococcus core genome (701 genes) displayed an overall consensus within the pyogenic clade (S. agalactiae, S. uberis, S. equi, S. canis, S. dysgalactiae and S. pyogenes) with the exception of the relationship between three species: S. canis, S. dysgalactiae and S. pyogenes (Table 2 and Fig. 1). The most common topology was S. dysgalactiae and S. pyogenes as sister groups (topology 1, 39.5% of the gene trees), followed by the monophyly of S. canis and S. dysgalactiae (topology 3: 28.7%) and finally the monophyly of S. canis and S. pyogenes (topology 2: 23%). The majority rule topology was also supported by the total evidence approach (ie. concatenation of the genes prior to phylogenetic reconstruction, Fig. 1). Focusing on a reduced number of taxa (four species) to increase the core-gene sample size (1072 genes), resulted in the same pattern whether using consensus or total evidence approaches (Table 2). Incongruences between gene trees can result from phylogenetic reconstruction problems, incomplete lineage sorting, hidden paralogy and lateral gene transfer (e.g. ). If one considers gene tree support for a given topology, whatever the data-set, the gene-tree bootstrap scores did not vary considerably, demonstrating that most of the genes strongly supported one unique topology, suggesting therefore, that reconstruction problems due to lack of phylogenetic signal is not a likely explanation for the incongruence. A Bayesian gene tree concordance analysis was also carried out and whatever the a priori discordance parameter α, converged on seven topologies (Fig. 2). The first three topologies are described above, and have associated genome wide concordance factors of 0.443, 0.293 and 0.263, respectively (Table 2). The other four topologies had much fewer genes mapped to them and corresponded to a branching pattern that disrupted S. pyogenes monophyly. Very few genes were not mapped to a particular topology (only 56 genes have maximum posterior probability mapping inferior to 0.5), again suggesting that the incongruence between gene trees is unlikely to result from phylogenetic reconstruction problems. When analyzing the posterior probability that two genes share the same topology using a multidimensional scaling representation, we again observed three clear groups of genes corresponding to the three major topologies described above, with very few genes showing alternative patterns (Fig. 3).
On the branches are reported the gene-tree support, as well as the genome wide concordance factors (in bold) with their 95% credibility intervals for the four species analysis. For both trees, total evidence topologies are identical to gene-tree majority rule consensus topologies, as well as the primary concordance topology for the four species tree.
Similarity between pairs of genes is measured as the probability that two genes share the same topology. Genes are colored according to their most probable topology, with black referring to topology 1, red is topology 2, and green topology 3; blue refers to other rare topologies (see Table 2 for topology descriptions).
A large majority of the Streptococcus core-genome is composed of single copy genes, so although it is difficult to rule out instances of hidden paralogy, it is unlikely to be the cause of the high frequency of incongruence we observe. Incomplete lineage sorting (also called deep coalescence), is more frequent when divergence time between two speciation events is shorter and population size is larger , , which both seem plausible in our example. Bacteria have a great propensity to transfer genetic material to other species, and such lateral gene transfer is another likely cause of incongruence among gene trees. Though the issue is not entirely clear-cut, based on total evidence, gene tree consensus and Bayesian concordance analyses, the most likely scenario is that the true species tree has S. dysgalactiae and S. pyogenes as sister species (topology 1, Table 2), and that a high level of gene transfer between the S. canis, S. dysgalactiae and S. pyogenes lineages resulted in about 50% of the core genes showing an alternative history.
Genes gained along the Streptococcus pyogenes branch
With the goal of identifying the genomic events concomitant with S. pyogenes human adaptation, we applied a phylogenomic approach that reconciles observed differences between species and gene phylogenetic trees  to a genomic sequence data set of 15 different Streptococcus species (Table 1). Including only those genes which were robust to the different topologies defining the S. pyogenes sister group, we detected 113 genes that were gained on the branch (lineage) leading to S. pyogenes (Table 3). Based on an average number of 1,853 genes among the 13 S. pyogenes strains included in the analysis, these gained genes represented 6.1% of an average genome. Of these gained genes, 14 were identified as lateral gene transfers (LGTs) from other species included in the analysis. The remaining 99 genes, within the phylogenetic context of the species tree used in the analysis, were identified as first occurring on the S. pyogenes branch. Given that these genes were absent in all the remaining Streptococcus species prior to their appearance on the S. pyogenes branch, it is possible that these genes were involved in LGT with a bacteria not included in the analysis. We explored this possibility by using BLASTp (e-value cut-off = 1E-5) to search the NCBI NR database for significant sequence matches for each of these genes. A total of 64.6% (64) of the genes matched other species, with 33.3% of these matching a species of Streptococcus. Six genes identified as gained on the S. pyogenes branch, matched other Streptococcus species included in the analysis, the consequence of LGT events involving S. pyogenes as donor, subsequent to the original gain. The remaining 29 genes matched only S. pyogenes. Consequently, approximately one third of the gained genes had no significant match to any sequenced protein and therefore, these genes either evolved de-novo along the S. pyogenes branch, or homologous loci have yet to be sequenced. With one exception (speK) all of these genes were hypothetical proteins.
The role of prophages
Although slightly more than half (58.4%) of the gained genes were annotated as hypothetical proteins, the remaining 47 genes had functional annotations, with 14 showing significant BLASTp matches to established pathogenic bacteria virulence factors within the Virulence Factors of Pathogenic Bacteria database (VFDB; ). For nine of the 13 S. pyogenes strains (MGAS315, SF370, MGAS5005, MGAS6180, MGAS9429, MGAS10270, MGAS2096, MGAS10750, and NZ131), their annotations contained descriptive information for phage genes. This information allowed us to determine if any of the 133 gained genes were located within a phage for any of these nine strains. We determined that 52 (46.0%) of the gained genes were located within a phage in at least one of these strains (Table 4). Five of these genes were virulence factors, so at least one third of the gained virulence factors were phage associated. Of the five virulence factors, four were established S. pyogenes virulence factors. The first two (speK and speA3) (Table 3), were streptococcal pyrogenic exotoxins, which are associated with streptococcal toxic shock syndrome and scarlet fever , . The next two were exoenzyme spreading factors (hylP.1 and hylP.3), which degrade the hyaluronic acid of connective tissue, aiding spread of the pathogen . The fifth gene, a putative single-strand DNA-binding protein, has significant sequence similarity to a Salmonella enterica ssDNA-binding protein involved in the regulation of recombination. In addition to the established virulence factors, there was also a putative ATP-binding cassette (ABC) transporter protein, which has been shown to be important in the virulence of other streptococcal bacteria , .
AnGST analysis of evolutionary events subsequent to the origin of the species S. pyogenes indicated that of the 52 gained genes associated with phages (Fig. 4), 33 were involved in 90 subsequent LGT events, during the diversification of the different strains (Table 4). Over half of these events (46) were restricted to LGT among S. pyogenes strains, possibly reflecting the narrow host range of S. pyogenes, once it was strictly adapted to humans. Almost half (21) of the remaining 44 LGTs involved Streptococcus equi subsp. equi. This was followed by Streptococcus agalactiae (8), with S. dysgalactiae subsp. equisimilis, S. canis, Streptococcus gallolyticus, and Streptococcus mitis accounting for the remainder. This suggests a close association between S. pyogenes and Streptococcus equi subsp. equi and to a lesser extent S. pyogenes and S. agalactiae, with the former confirming the findings of Holden et al. , which showed that phages within S. pyogenes and Streptococcus equi subsp. equi were closely related, and the species shared “a common phage pool”. Intriguingly, both S. pyogenes and S. equi subsp. equi are host restricted (S. equi subsp. equi is restricted to horses where it is the causative agent of equine strangles). The high frequency of phage mediated LGT between these two species may reflect a close human-horse association and/or that S. pyogenes was an important factor in the evolution of S. equi subsp. equi as it split from S. equi subsp. zooepidemicus to become a strict horse pathogen . The direction of phage mediated LGT between S. pyogenes and S. equi subsp. equi lends support to the latter hypothesis, as 85.7% of the LGTs between these two species were from S. pyogenes to S. equi subsp. equi. The taxon S. equi. subsp. equi must be of relatively recent age, since the clone is very homogeneous, with sequence divergence of housekeeping loci across diverse collections of strains extremely minimal  and microarray data of ours confirming this across the genome, while concomitantly indicating that relatively few genes comprise the dispensable component of the genome compared to other Streptococcus taxa ( and Stanhope unpublished data). S. pyogenes on the other hand, is clearly of much older origin. We suggest that phage mediated LGTs from S. pyogenes to one or a few S. equi subsp. zooepidemicus strains were instrumental in creating the progenitor or founder of S. equi subsp. equi, which then developed into the current version of this clonal organism. Such a scenario could be a rare example of reverse zoonosis, although it is also possible that this transpired within the human host, involving an instance of co-infection involving S. pyogenes and S. equi subsp. zooepidemicus. Cases of human infection by S. equi subsp. zooepidemicus, although not common, are nonetheless reported, involving both zoonotic transmission from domesticated animals , and the consumption of inadequately pasteurized milk products . The genes involved in this pyogenes-equi LGT included hyaluronoglucosaminidase (hylP) and streptococcal pyrogenic exotoxin (speK) with the remainder annotated as hypotheticals or phage associated proteins. The majority (more than 75%) of these LGTs originated from serotype 5 and 49 strains. This is not to say, that we found no evidence of the reverse directionality in LGT – from equi to pyogenes – AnGST simply identified the majority of the LGT between these two taxa in the pyogenes-equi direction (17 vs 3).
A color legend for each ring (1 to 15) appears at the top of the figure. The figure highlights the S. pyogenes core-genome distribution (tracks 7 and 8) and islands of gained genes (tracks 3 and 4). MGAS315 is chosen simply as a reference genome to map the results of the analysis.
The M-protein pathogenicity island is a region of 35 genes present in all sequenced S. pyogenes genomes . Three genes showing homology to the VFDB were located within this island: dppE, speB, and a putative two-component response regulator. DppE (gained via LGT from S. agalactiae) is one of six ABC transporter proteins present in the island, and speB is another streptococcal pyrogenic exotoxin. In addition to these three genes, the island contained five additional loci gained along the S. pyogenes branch (Table 3). One of these, ropB (also known as rgg) is of particular interest, due to its interaction with speB. Both rgg and speB have recently been shown to have greater expression in pharyngal conditions as opposed to invasive conditions . Rgg regulates the expression of several virulence factors (including speB), as well as activates the utilization of non-glucose carbohydrates . Transcriptome analyses have shown that rgg is over-expressed in saliva conditions  and in the adherence phase . SpeB leads to the cleavage or inactivation of many bacterial proteins, including virulence factors involved in invasive disease that contribute to host-pathogen interaction . Differential expression of speB may lead to different levels of lethality, because decreased production of speB results in the preservation of S. pyogenes virulence factors. Thus, both genes are playing an essential role for survival in human saliva. SpeB-rgg interaction may have contributed to S. pyogenes colonization of the human pharynx as its main habitat, without generating invasive disease that would kill the host and thereby reduce possibilities of dispersion. In that sense, the gain of speB and rgg might have been a critical component in S. pyogenes adaptation to the human host.
The M-protein, a key S. pyogenes virulence factor , was not gained along the S. pyogenes branch and is shared with several Streptococcus species; for example, S. dysgalactiae subsp. equisimilis, S. dysgalactiae subsp. dysgalactiae, and S. agalactiae . Indeed, a large proportion of the M-protein island genes are shared with other Streptococcus species . However, it is only in S. pyogenes that the genes form a contiguous island , . Consequently, it appears that while the majority (77%) of the M-protein island genes were present in the S. pyogenes ancestor, it was here that they clustered to form a contiguous island, highlighting the importance of gene rearrangement in addition to gene gain as an important evolutionary factor in the emergence of new species.
The role of Streptococcus agalactiae
Streptococcus agalactiae appears to have played an important role in the evolution of S. pyogenes with 10 of the 14 LGTs having a Streptococcus donor, originating from this species (Table 3). Three of these laterally transferred genes (prfB, asnC, and an acetoin reductase) are clustered together within S. pyogenes genome sequences. Two of these genes (asnC and acetoin reductase) showed significant BLASTp matches to Escherichia coli virulence factors. asnC was similar to LysU, a heat shock inducible lysyl-rRNA synthase that enables pathogen survival at elevated temperatures . Acetoin reductase was similar to entA, which is involved in the biosynthesis and excretion of the siderophore enterobactin that enables survival in iron poor environments such as the urinary tract , . Comparison to S. agalactiae (NEM316) showed these three genes to be contained within an approximately 11 kbp region that shared approximately 76% sequence identity with S. pyogenes, suggesting that this entire region may have been historically involved in LGT with S. agalactiae.
Examination of a recently identified S. pyogenes virulence factor, the sal lantibiotic locus, provides further evidence supporting LGT between S. pyogenes and S. agalactiae. First reported in Streptococcus salivarius, the sal locus contains seven genes (salAMTXYKR) and is involved in production and immunity to the lantibiotic salivaricin A . Subsequently, the locus has been reported in both S. agalactiae and S. pyogenes , . However, in S. agalactiae, production and immunity to salavaricin A is rare and restricted to isolates from the bovine host , ; whereas in S. pyogenes, nearly all strains tested, lack immunity to salivaricin A , , . Assuming that production and immunity to salivaricin A is the ancestral state for this locus, the locus appears to be functionally more derived in both S. agalactiae and S. pyogenes. Indeed, the salM and salT genes are truncated or disrupted in many S. pyogenes strains . Similarly, the salM gene is truncated and the salA gene missing in bovine adapted S. agalactiae (strain FSL S3-026) . Phelps and Neely  demonstrated that for S. pyogenes, the locus had shifted its immunity function from salivaricin to the host immune system, with the salY gene of the locus now required for survival within macrophages. Furthermore, alignment of S. pyogenes (strain MGAS315) (all genes of the locus are intact in this strain) to the bovine S. agalactiae strain, and S. salivarius (strain 20P3), showed very high sequence identity (97.6%) between S. pyogenes and S. agalactiae, but somewhat lower identity between these two species and S. salivarius (92.9% and 93.7% respectively).
Given that the lantibiotic operon of S. pyogenes is adapted to an alternate function that allows the bacteria to colonize intra-cellular environments, and in particular, provides it the possibility to survive within macrophages, this may have had an important impact on the success of S. pyogenes, not only because it makes S. pyogenes resistant to phagocytosis, but also because phagocytic cells may serve as a reservoir of infection and a refuge to antibiotic treatment , as well as facilitating asymptomatic carriage of S. pyogenes . The gain and adaptation of this sal locus has probably allowed S. pyogenes to colonize new and sterile tissues, which in turn are conditions that could trigger an adaptive habitat shift, accelerating the differentiation of S. pyogenes.
Several genes gained on the S. pyogenes branch not contained within phages or gene clusters are also implicated in virulence. For example, in addition to the three pyrogenic exotoxin genes already mentioned, a fourth (speG) was also gained on the S. pyogenes branch. This gene, along with speK, was involved in subsequent LGT events after the origin of the species S. pyogenes. SpeG was transferred to S. dysgalactiae subsp. equisimilis and speK was transferred to S. equi subsp. equi. Other genes gained on the S. pyogenes branch that showed significant sequence similarity to established virulence factors were yesM and purC. YesM shows similarity to algZ of Pseudomonas aeruginosa, which has been implicated in alginate (mucoid) production in P. aeruginosa strains in cystic fibrosis patients , whereas purC has similarity to purC of Mycobacterium tuberculosis, and disruption of this gene has been shown to attenuate the ability of M. tuberculosis and Mycobacterium bovis to multiply within mouse bone marrow macrophages .
The emergence of S. pyogenes was ultimately linked to its strict adaptation to the human host and particularly to the human saliva and pharynx environment. We have shown that adaptation to this new habitat was achieved in part by (i) the integration of new virulence factors (e.g. speB, and the sal locus) and (ii) the construction of new regulation networks (e.g. rgg, and to some extent speB). While the virulence factors were undoubtedly important in allowing S. pyogenes to survive and compete with human host defenses, it is also apparent that the regulation of newly acquired or already existing virulence factors was a fundamental issue. Two recent studies have shown that a single frameshift mutation in a regulatory gene (covRS), causes S. pyogenes to switch from a local to an invasive infection , . This shift is due to the transition to a fundamentally different transcriptome , where the expression of speB is abolished, preventing the degradation of other virulence factors and allowing them to reach host tissues . An extreme invasive disease phenotype would be an evolutionary dead end for any pathogen, as it would kill the host and reduce success of dispersal and colonization of new hosts. Thus, it would appear that during the evolution of S. pyogenes, new regulation networks (e.g. rgg) were integrated with already existing ones (e.g. the covRS), providing a more sensitive global regulation network, which in turn was instrumental in the adaptation of the species as a long term strict human pathogen. This highlights the fundamental role of regulation in the host/pathogen relationship, and suggests the need for further comparative analysis that would integrate non-coding functional elements and their role in virulence regulation (e.g. )
We would like to thank Ruth N. Zadoks for the Streptococcus canis strain used for genome sequencing and helpful information about S. canis. We gratefully acknowledge TIDRA (http://www.tidra.org) for providing a significant amount of the computing resources and services needed for this work.
Conceived and designed the experiments: TL VR MJS. Performed the experiments: PL PPB. Analyzed the data: TL VR. Wrote the paper: TL VR MJS.
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