Skip to main content

Genome characterization and population genetic structure of the zoonotic pathogen, Streptococcus canis



Streptococcus canis is an important opportunistic pathogen of dogs and cats that can also infect a wide range of additional mammals including cows where it can cause mastitis. It is also an emerging human pathogen.


Here we provide characterization of the first genome sequence for this species, strain FSL S3-227 (milk isolate from a cow with an intra-mammary infection). A diverse array of putative virulence factors was encoded by the S. canis FSL S3-227 genome. Approximately 75% of these gene sequences were homologous to known Streptococcal virulence factors involved in invasion, evasion, and colonization. Present in the genome are multiple potentially mobile genetic elements (MGEs) [plasmid, phage, integrative conjugative element (ICE)] and comparison to other species provided convincing evidence for lateral gene transfer (LGT) between S. canis and two additional bovine mastitis causing pathogens (Streptococcus agalactiae, and Streptococcus dysgalactiae subsp. dysgalactiae), with this transfer possibly contributing to host adaptation. Population structure among isolates obtained from Europe and USA [bovine = 56, canine = 26, and feline = 1] was explored. Ribotyping of all isolates and multi locus sequence typing (MLST) of a subset of the isolates (n = 45) detected significant differentiation between bovine and canine isolates (Fisher exact test: P = 0.0000 [ribotypes], P = 0.0030 [sequence types]), suggesting possible host adaptation of some genotypes. Concurrently, the ancestral clonal complex (54% of isolates) occurred in many tissue types, all hosts, and all geographic locations suggesting the possibility of a wide and diverse niche.


This study provides evidence highlighting the importance of LGT in the evolution of the bacteria S. canis, specifically, its possible role in host adaptation and acquisition of virulence factors. Furthermore, recent LGT detected between S. canis and human bacteria (Streptococcus urinalis) is cause for concern, as it highlights the possibility for continued acquisition of human virulence factors for this emerging zoonotic pathogen.


Originally described as β-hemolytic streptococci isolated from dogs and cows that possessed the Lancefield group G antigen [1], Streptococcus canis has subsequently been isolated from a variety of animal sources including cats, rats, rabbits, minks, foxes, a Japanese raccoon dog, and humans [24]. The species is an important opportunistic pathogen of cats and dogs infecting a wide range of tissues such as the central nervous system, respiratory tract, genitourinary system, blood, skin, bones, cardiovascular system, and abdomen [1, 46]. Infection can cause serious invasive disease, such as streptococcal toxic shock syndrome (STSS), necrotizing fasciitis (NF), septicemia, pneumonia, and meningitis, with numerous reports of fatal infection [5, 79], whereas in cows S. canis can cause mastitis [1012]. Of concern are the accumulating reports of human infection (including numerous cases of dog to human transmission) [1316], with clinical manifestations similar to those seen in cats and dogs. For example, descriptions of human cases include soft tissue infection, bacteremia, urinary infection, bone infection, pneumonia, and two reports of death from sepsis [13].

Although the phylogeny of the species is not completely resolved, a general consensus from the literature shows S. canis to be closely related to Streptococcus dysgalactiae subsp. dysgalactiae, Streptococcus dysgalactiae subsp. equisimilis, and Streptococcus pyogenes[2, 1721]. S. canis and S. dysgalactiae subsp. equisimilis are both β-hemolytic streptococci that share the same Lancefield group G antigen. Consequently, by the Lancefield system they are indistinguishable, and have traditionally only been classified as group G streptococci (GGS) from either animal (S. canis) or human (S. dysgalactiae subsp. equisimilis) origin. Therefore, it’s possible that human S. canis infection has been underestimated [13, 15]. Investigating this problem, Broyles et al. [22] performed a survey of human invasive infection using techniques capable of distinguishing S. canis from S. dysgalactiae subsp. equisimilis. Results showed a low frequency of S. canis in blood samples. However, their study was biased towards the characterization of isolates from blood samples (isolates from other body sites were less likely to be characterized).

In humans, STSS and NF are serious diseases typically caused by S. pyogenes infection. The emergence of strikingly similar STSS and NF in cats and dogs coupled with the close relationship between the causal species prompted preliminary investigation and subsequent discovery of two shared virulence factors between these species [23]. To shed light on the molecular basis of S. canis virulence and further investigate the role S. pyogenes and other species of Streptococcus may have played in its evolution we determined the first genome sequence for this pathogen and compared it to an extensive range of streptococcal genomes (40 species, 213 strains). In addition, we explored population structure among canine, feline, and bovine isolates.

Our findings reveal a diverse array of genes within the S. canis genome homologous to known virulence factors, including several established virulence factors from S. pyogenes, Streptococcus agalactiae, and Streptococcus pneumoniae. We found evidence for multiple LGT events between S. canis and (i) other bovine mastitis causing pathogens, and (ii) the human pathogen Streptococcus urinalis, suggesting LGT in both shared bovine and human environments. This LGT was mediated by a variety of mobile genetic elements [plasmid, phage, integrative conjugative element] that carried many of the virulence factors, highlighting the importance of LGT in the evolution of this pathogen and the potential for its emergence as a zoonotic pathogen.

Result and discussion

Assembly and general features of the genome

Roche/454 pyrosequencing produced 128,749 single-end reads and 140,788 paired-end reads that were assembled into 91 contigs (>200 bp) and eight scaffolds, representing an average 23X site coverage. Utilizing additional Illumina/Sanger sequencing and alignment to an optical map, the eight scaffolds were assembled into a single 2,267,856 bp contig. Unfortunately, we were unable to obtain sequence for one small section of the genome (Figure 1). The gap was within a collagen-like surface protein. The best BLAST hit at the NCBI nr database for each gene fragment (SCAZ3_06900 and SCAZ3_06785) was to an identically annotated gene within S. agalactiae (A909), (each fragment shared approximately 75% sequence identity). Alignment of the S. canis fragments to this gene suggested that we were missing approximately 1.6 kb. For S. agalactiae (A909), this gene contained 75 repeats of a 9 bp imperfect repeat (DCCRTCTTT). The majority of these repeats (70) were contained within a 2.5 kb region that spanned the S. canis gap and flanking regions. S. canis contained 26 repeats in the regions that flanked the gap. Consequently it seems likely that these repeats were also present within the un-sequenced section of the collagen gene for S. canis and that their presence confounded our sequencing attempts. Inclusion of this small gap made the total length of the genome approximately 2,269,456 bp. In comparison to 53 genome sequences representing 19 additional Streptococcus species, the S. canis genome was among the largest with regard to sequence length, ranking fourth (with one exception S. agalactiae-FSL S3-026], sequences were obtained from the manually curated RefSeq database at NCBI [see Additional file 1). S. canis had a relatively high number of CDS (2,212), ranking fifth, an intermediate number of tRNAs (67; range 41–80) and an average GC content of 39.7%. A 5,871 bp section of the genome appeared to have been perfectly duplicated (locus tags SCAZ3_r06686 through SCAZ3_t06810 plus 126 bp of non-coding DNA that preceded SCAZ3_r06686). The section contained an rRNA operon (16S-23S-5S) and 10 tRNAs that were immediately down stream (Val, Asp, Lys, Leu, Thr, Gly, Leu, Arg, and Pro). The entire section was perfectly duplicated immediately upstream (one nucleotide separated the two duplicated sections). Similar rRNA operon duplications are present in the genomes of Streptococcus thermophilus (LMD-9) and Streptococcus salivarius (CCHSS3). The number of rRNA operons in publicly available Streptococcus genomes ranges from one to seven, and the number within the S. canis genome was again relatively high, with six. It is possible that this reflects selection for rapid growth. For example, during rapid growth genes are likely to be expressed at high levels, and this is often associated with codon usage bias [24], which in turn, has been shown to be positively correlated with the number of rRNA operons within a bacterial genome [25].

Figure 1

Genome map of Streptococcus canis strain FSL Z3-227. Starting from the outermost ring and moving inwards, rings show the location of: (1) four mobile genetic elements (see text for detailed description), (2) all annotated CDS on the leading strand, and (3) all annotated CDS on the lagging strand. Two innermost rings show GC content and GC skew. Map was created using the software CGView [26].

Virulence factors

A total of 291 CDS within the S. canis genome were homologous with established virulence factors in the Virulence Factor of Pathogenic Bacteria database (VFDB) (available at (see Additional file 2). Throughout the manuscript, two genes (query and subject) are considered homologous if they can be locally aligned using BLAST with an E value of 1e-5 or less. A refined search, focusing only on established Streptococcus virulence factors, detected 34 CDS homologous to three other species of streptococci: S. pyogenes (17), S. agalactiae (9), and S. pneumoniae (8). Of these, the majority (50%) was homologous with S. pyogenes, likely reflecting the close relationship between these two species. More specifically, 9 of the 17 S. pyogenes virulence factors homologous to S. canis were categorized as either exoenzymes or complement proteases. These gene products damage tissue, and may contribute to necrotizing fasciitis. When considering all 291 of the virulence factors homologous to S. canis, there were only three additional genes with similar categorization, two of these homologous to S. pneumoniae. Consequently, it appears that several genes possibly involved in necrotizing fasciitis are shared between S. canis and S. pyogenes. In contrast, S. canis CDSs were not homologous with genes producing pyrogenic exotoxins associated with toxic shock syndrome. However, S. canis possessed two other streptoccocal toxin-producing genes: streptolysin O (SLO) (S. pyogenes) and CAMP factor (S. agalactiae) [27, 28]. Two S. canis genes were homologous to a well-characterized S. pyogenes virulence factor, the M protein (emm18), which aids in antiphagocytosis, adherence, and cellular invasion [29]. However, unlike S. pyogenes, these genes were not located within a contiguous 35-gene pathogenicity island that is found in all currently genome sequenced strains of S. pyogenes[30]. A BLASTn search of the NCBI nr database showed SCAZ3_01465 to be homologous with the gene SPASc from S. canis[31] (accession number: FJ594772). Global nucleotide sequence alignment showed these sequences to have 87.7% identity. Yang et al.[31] showed experimentally that SPASc was a new protective antigen, however they did not report the strain ID or isolation source. For SCAZ3_11010, a BLASTn search of the NCBI nr database returned no hits. However, a BLASTp search returned numerous hits and the gene with the most sequence similarity was an emm-like cell surface protein CspZ.2 of Streptococcus equi subsp. zooepidemicus ATCC 35246 (31% identity, 48% coverage). Neither SCAZ3_01465 nor SCAZ3_11010 were homologous with the S. canis emm gene type stG1389 (accession number EU195120) reported from one human and two canine sources [22]. These findings confirm previous studies showing that some S. canis isolates can possess M like proteins [18, 22, 23] and additionally show that a diversity of M like proteins is possible for S. canis strains.

S. canis also possessed the nine gene sag operon (sagABCDEFGHI) responsible for the production of streptolysin S (SLS) [32]. Both SLS and SLO are toxins that lyse mammalian erythrocytes [33], and the toxicity of SLS has been shown to contribute to necrotizing fasciitis [34, 35]. Furthermore, it has been suggested that SLS interacts with numerous additional virulence factors to accelerate necrosis [36]. These factors include SLO, the M protein, and proteases. Genes for all these factors can be present in the S. canis genome. Utilizing a BLASTn search of the NCBI nr database and subsequent global nucleotide sequence alignment, we detected the sag operon in four additional Streptococcus species (strain and percent sequence identity with S. canis are given in parentheses): S. dysgalactiae subsp. equisimilis (ATCC 12394; 81.1%), Streptococcus pseudoporcinus (LQ940-04 T; 78.8%), S. pyogenes (MGAS10270; 76.5%), and Streptococcus iniae (9117; 74.4%). The likely presence of the sag operon in S. dysgalactiae subsp. equisimilis was first shown by Humar et al. [34] who detected a functional sagA homolog in strains capable of producing SLS. S. canis and S. iniae are somewhat distinctive in that the other species are predominately human pathogens, whereas the former are predominately animal pathogens (S. iniae is a common fish pathogen), although occasionally are associated with zoonotic disease [3739]. S. dysgalactiae subsp. dysgalactiae, which is predominantly associated with disease in animals but not in humans, lacks an intact sag operon, possessing only sagA and sagI. The occurrence of the complete operon in the other close relatives of S. canis (S. dysgalactiae subsp. equisimilis and S. pyogenes) suggests that S. dysgalactiae subsp. dysgalactiae may have lost the remainder of the genes from the operon. However, the occurrence of the operon in two species more distantly related to S. canis, that are themselves likely not sister species (S. pseudoporcinus and S. iniae) [40], is suggestive in this case of lateral gene transfer of the operon. Fish handling and close association with domestic dogs may have facilitated lateral gene transfer between species occupying human and animal hosts [14, 16, 41].

Genes specific to S. canis(FSL Z3-227)

To identify genes that are likely S. canis species specific from genes present in multiple species of the genus, we performed a clustering analysis among 214 Streptococcus genomes representing 41 species including S. canis (see Methods section and Additional file 3). The analysis identified 97 genes that were not homologous to any other gene in the analysis and were unique to S. canis (see Additional file 2). Unfortunately, all were annotated as hypothetical proteins, highlighting the need for future studies exploring functional genomics for this species. S. canis belongs to the pyogenic 16S rRNA phylogenetic group [42]. Limiting the comparison to pyogenic genomes (14 species and 40 genomes, excluding S. canis), we identified an additional 14 genes unique to the S. canis genome (see Additional file 2). Two of these genes were homologous to two established virulence factors in the VFDB. The first gene (neuraminidase C, SCAZ3_10275) was homologous with neuraminidase B (nanB) from S. pneumoniae (TIGR4). The product of nanB is a glycosidase that, by damaging surface glycans and exposing the cell surface, aids in the adhesion to host cells and is therefore likely important in host invasion [43]. The second gene (Gfo/Idh/MocA family oxidoreductase, SCAZ3_10270) was homologous with bplA from Bordetella pertussis (Tohama I). In Bordetella, bpl genes are involved in the synthesis of the LPS, which has been shown to be essential for the expression of complete virulence in mice [44]. Given that the additional 14 genes unique to the S. canis genome were absent in the other pyogenic genomes, it is possible that these loci were gained via LGT. The two genes homologous to the virulence factors discussed above, were contiguous in the genome suggesting they were gained in a single evolutionary event.

Integrative plasmid

With the exception of two loci, S. canis shared a contiguous section of 53 CDS with S. agalactiae (NEM316) (Figure 2) (see also Additional file 2: locus tags SCAZ3_04485 through SCAZ3_04760 [50,114 bp]). Sequence identity between the shared 53 CDS was very high: 99.2%. First described in S. agalactiae (NEM316) [45], this section of DNA (designated pNEM316-1) was proposed to be a putative integrative plasmid (it could exist in circular form and was present as three copies within the genome). Here we designate the S. canis copy of the putative plasmid as FSL Z3-227-p. The last 24 bp at the terminal ends of pNEM316-1 were imperfect repeats of themselves (see Additional file 4). Alignment of pNEM316-1 with FSL Z3-227-p revealed identical terminal sequence for FSL Z3-227-p. Putative recombination attL and attR sites were also identified. As for pNEM316-1, these sites were 9 bp direct repeats.

Figure 2

Gene organization within putative integrative plasmids for S. agalactiae strain NEM316 (plasmid designated pNEM316-1) and S. canis strain FSL Z3-227 (plasmid designated FSL Z3-227-p). Locus IDs for (i) CDS with putative plasmid functional role (blue arrows), and (ii) CDS homologous with established virulence factors (red arrows) are shown for S. canis (see text for detailed description). Grey arrow shows a miscellaneous feature that is a common BLAST hit with the M protein from S. pyogenes. Two horizontal black/grey bars are a generalized representation of the aligned nucleotide sequences, with black shading representing 100% identity. Figure created using Geneious v5.1.2 and Adobe Illustrator.

Annotation of several S. canis CDS within this 50 kb region suggest a plasmid functional role (Figure 2 and Additional file 2). For example, DNA topoisomerase (SCAZ3_04630), conjugation protein (SCAZ3_04680, SCAZ3_04720), and plasmid partition protein (SCAZ3_04740) were identified. In addition, four CDS were homologous with established virulence factors (see Additional file 2, locus tags are highlighted in red in the annotations worksheet). Specifically, SCAZ3_04635 (ATP-dependent clp protease) was homologous with clpE, an ATP-dependent protease from Listeria monocytogenes; clp genes have been shown to play a role in competence, development, and stress survival (thermotolerance) in S. pneumoniae[46]. SCAZ3_04705 (DNA-cytosine methyltransferase) was homologous with a putative DNA methylase from Escherichia coli (strain 536), which is located within a pathogenicity island [47] that included MGEs as an integral part of its evolutionary history [48]. Likewise, SCAZ3_04705 is located within a MGE and its specific function may involve plasmid defense. For example, the conjugative plasmid Tn5252, which infects streptococci, contains DNA methyltransferases that may methylate the plasmid DNA, thereby providing protection from host restriction nucleases [49]. SCAZ3_04600 (DNA-entry nuclease) was homologous with a putative deoxyribonuclease (DNase) from S. pyogenes. DNA-entry nuclease facilitates entry of DNA into competent bacterial cells and may aid plasmid cell-to-cell transmission [50]. Although the role of DNase in S. pyogenes is not fully understood, Sumby et al. [51] provided strong evidence that it may enhance host evasion. SCAZ3_04665 (cell wall surface anchor family protein) was homologous with a gene from Enterococcus faecalis producing a putative aggregation substance that was categorized as an adherence factor. SCAZ3_04665 was contiguous with two additional sequences with similar function. The first (SCAZ3_04660) contained an LPXTG-motif (a cell wall anchor domain). The second, according to the PGAAP annotation, was a common BLAST hit with the M protein from S. pyogenes (MGAS10270), and subsequent global nucleotide alignment showed 56.3% sequence identity between the sequences. However, the S. canis sequence contained a C insertion (site 746) that had shifted the reading frame. Although the insertion had disrupted the gene sequence in this strain, it does not preclude the presence of functional copies in other strains of S. canis. Together, these last three genes may play an important role in cell adherence possibly producing enhanced virulence of S. canis strains containing the plasmid.

Recently, Richards et al. [52] detected multiple copies of this plasmid (exact repeats) in a second strain of S. agalactiae: the bovine strain FSL S3-026. Designated FSL S3-026-S20, this copy of the plasmid showed 60.9% sequence identity (global alignment) with S. canis. There is strong differentiation between human and bovine S. agalactiae populations [52] and the S. canis strain studied here was isolated from bovine milk. Consequently, it seems plausible that the plasmid was exchanged between these species in the bovine environment. Indeed, out of the ten S. agalactiae genome sequences available, nine are human isolates and eight lack the plasmid. The ninth (NEM316), however, shows very high sequence identity for the plasmid when compared to S. canis (92.4%, global alignment), suggesting, on first consideration, that the plasmid may have been exchanged recently in the human environment. However, although NEM316 is usually listed as a human sourced isolate, Sørensen et al. [53] determined its origin to be unknown, and the observations that it can ferment lactose (human sourced isolates typically cannot) [53], and compared to other human sourced isolates, it grows well in milk (PD Pavinski Bitar unpublished data), suggest that the strain may have had a close association with the bovine environment. In addition, the strain is MLST sequence type 23, which occurs in both bovine and human environments [5355].


S. canis contained a 59 CDS prophage (Prophage 1, Figure 1) (see also Additional file 2: locus tags SCAZ3_03020 through SCAZ3_03310 [53,556 bp]). In general, the prophage had the distinctive modular arrangement of tailed phage structural genes described for lactic acid bacteria [56]. Putative att sites (a 12 bp direct repeat) were identified 776 bp upstream of SCAZ3_03020 (hypothetical cytosolic protein) and 133 bp downstream of SCAZ3_03310 (site-specific recombinase). Upstream of the site-specific recombinase were two genes characteristic of the lysis module (holin and lysin) and upstream of this were genes characteristic of the tail modules. Consequently, this end of the prophage likely contained the attR site. However, site-specific recombinase (present as two contiguous copies) belongs to the resolvase family of enzymes, and these enzymes usually occur in the lysogeny module [57], which typically occurs at the other end of the phage. In addition to phage structural genes, the prophage also contained five CDS that were homologous with virulence factors in the VFDB. SCAZ3_03175 (DNA-cytosine methyltransferase) was homologous with the same DNA methylase from E. coli as the methyltransferase gene within the integrative plasmid and therefore may provide the phage with similar protection from host restriction nucleases. Similarly, both the phage (SCAZ3_03220: ATP-dependent clp proteolytic subunit) and plasmid contained CDS that were homologous with clp genes from L. monocytogenes, which play a role in competence, development, and stress survival in S. pneumoniae[46]. SCAZ3_03045 (serine/threonine rich platelet-type antigen) was homologous with C protein alpha antigen (bca) from S. agalactiae (A909), which is important in the initial stages of mice infection [58]. Gene ontology (GO) terms for this CDS also suggest virulence, indicating that the gene product is a cell surface component that binds to calcium ions, and this molecular function can be linked to pathogenesis. The remaining two CDS homologous with virulence factors (SCAZ3_03050 and SCAZ3_03060) were insertion sequences (transposases) homologous to the E. coli virulence plasmid pB171. These findings indicate several similarities between phage and the integrative plasmid genes; possibly reflecting shared infection and survival characteristics between these two types of mobile genetic element.

Using BLASTn we detected the presence of the prophage in three additional Streptococcus species: S. agalactiae (strains S3-026 [bovine isolate] and A909 [human isolate]), S. urinalis, and Streptococcus porcinus. Subsequent global nucleotide alignment revealed high sequence identity with S. agalactiae (S3-026) (97.3%) and particularly with S. urinalis (99.4%) suggesting very recent exchange between S. canis and S. urinalis. Sequence identities for S. agalactiae (A909) and S. porcinus were 63.1% and 64.1% respectively, suggesting older exchanges. To the knowledge of the authors, S. urinalis has only been reported as being isolated from humans [59, 60]. S. canis however, is typically found in animal hosts such as dogs and cats, but there are reports of human infection, usually ulcer or wound infection in patients who own domestic dogs [1416]. Therefore, it’s possible that S. canis and S. urinalis exchanged the phage within a shared human environment. However, it’s also possible, that since S. urinalis is rare in humans, that a different, as yet unknown niche, is its principal habitat and that S. canis may be present in that same niche.

We also found evidence for a second prophage (~63 CDS) (Prophage 2, Figure 1). Although putative attL/R sites could not be found, the putative attL end was a site-specific recombinase (SCAZ3_03510), typical of the lysogeny module. BLASTn detected the phage in three additional Streptococcus species: S. dysgalactiae subsp. equisimilis, S. pyogenes, and S. dysgalactiae subsp. dysgalactiae. However, global nucleotide alignment revealed only moderate sequence identity to S. canis: 65.7%, 62.9%, and 58.0% respectively. Being the last of a generally contiguous sequence of phage genes for S. canis, S. pyogenes, and S. dysgalactiae subsp. equisimilis, and typical of the lysis module, a phage holin gene (SCAZ3_03820) was assumed to represent the attR end of the phage.

Integrative conjugative element

S. canis also contained a contiguous section of 54 CDS (SCAZ3_05800 - SCAZ3_06105) (62,915 bp) (see Additional file 2) that was characteristic of an ICE. The section contained an integrase, three CDS homologous to the conjugative transposon Tn5252 (one of which was relaxase), Type IV secretory pathway genes belonging to the VirB4 family (implicated in conjugation) [61], and was flanked by putative attL/R sites (a 41 bp imperfect direct repeat that differed by 2 bp). However, unlike the ICE reported for numerous other Streptococcus species [62], the 5’ end was not inserted at the 3’ end of a tRNA or ribosomal gene, rather its 3’ end was inserted at the 5’ end of a ribosomal gene (ribosomal biogenesis GTPase). The ICE also possessed numerous additional genes characteristic of a mobile genetic element; for example, excisionase, helicase, abortive infection (Abi) system genes, and a zeta toxin gene characteristic of toxin-anti toxin (TA) systems, as well as a group II intron reverse transcriptase/maturase (SCAZ3_05875). In addition, the ICE contained three CDS that were homologous with virulence factors. Two of these CDS (agglutinin receptors, SCAZ3_05915 and SCAZ3_05930) were homologous with aggregation substance (AS) genes from Enterococcus faecalis plasmids. These genes (i) facilitate conjugative exchange by mediating cell binding, (ii) contribute to pathogenicity by enhancing cell adhesion and internalization, and (iii) favor intracellular survival within macrophages [63]. The third CDS (methyl transferase, SCAZ3_05815) was homologous with the same DNA methylase of E. coli, as for both the plasmid and phage, and therefore may provide the ICE with similar protection from host restriction nucleases.

A BLASTn search detected the ICE in two additional Streptococcus species: S. agalactiae (strains S3-026 and NEM316) and S. dysgalactiae subsp. dysgalactiae. Global nucleotide alignment showed these ICE to have only moderate identity with the S. canis ICE: 58.2%, 55.0%, and 60.1% respectively. In addition to the genes described, the S. canis ICE also contained the lactose operon Lac.2 [52, 64], suggesting that the ability to ferment lactose may have been acquired via lateral gene transfer. Furthermore, Lac.2 is also contained within the S. agalactiae (NEM316) and S. dysgalactiae subsp. dysgalactiae ICE, suggesting that these strains may have also acquired the ability to ferment lactose via lateral gene transfer.

Given S. canis strain FSL S3-227’s association with the bovine environment, it is notable that there is a putative nisin resistance CDS (SCAZ3_06155) within the genome. Nisin is a lantibiotic produced by some strains of the mastitis causing pathogen Streptococcus uberis, and has been shown to provide these strains with a competitive advantage during intramammary infection when compared to non-producer strains [65]. The gene operon required for nisin production is also present in bovine isolates of S. agalactiae[52]. Although S. canis strain FSL S3-227 lacked this operon, the presence of a nisin resistance CDS might assist S. canis during intramammary infection.

Population genetics

To assess the population genetic structure of S. canis we ribotyped an additional 82 isolates obtained from bovine, canine, and feline hosts (see Methods). Of these, a subset of 46 isolates was selected for multi locus sequence typing (see Methods). The ribotyping revealed a total of 17 ribotypes for all 83 isolates (Table 1). With one exception, isolates from multiple cows within each dairy herd belonged to a single ribotype per herd. This supports previous observations, which found that mastitis outbreaks due to S. canis were generally caused by a single strain within a herd [10, 12], suggesting contagious transmission, exposure to a point-source, or host-adaptation of specific S. canis strains [66]. Among the 46 isolates selected for the MLST scheme, we identified 16 sequence types (STs) (see Additional file 5 for allelic profiles). Diversity among canine isolates was substantially higher than among bovine isolates (Table 2). For example, there were 14 canine STs (diversity: 0.90) compared to 3 bovine STs (diversity: 0.49). For the ribotypes, there were 13 canine ribotypes (diversity: 0.88) compared to 4 bovine ribotypes (diversity: 0.67). Nucleotide diversity showed a different pattern. Although values were similar, bovine diversity was slightly higher (canine: 0.0094, bovine: 0.0127). The distinctiveness of the canine and bovine isolates was confirmed by the Fisher exact test, which showed the frequency distribution of ribotypes and STs between canine and bovine isolates to be significantly different (P = 0.0000 [ribotypes], P = 0.0030 [STs]). An analysis of molecular variance (AMOVA) [67], however, did not detect any significant differentiation between these isolates (ΦST = 0.082, P = 0.052).

Table 1 Isolate screening data
Table 2 Isolate diversity indices and summary statistics

Examination of evolutionary relationships among STs using a Bayesian phylogenetic approach (ClonalFrame, [68]) produced a well-supported phylogeny (Figure 3), with three independent runs of the Markov chain all producing congruent topologies. Repeating the runs without the recombination model (we assume no recombination) had no affect on the topology, but branch lengths did vary (Figure 4). The average total branch length for the three phylogenies, not accounting for recombination (15.9 coalescent time units), was slightly larger than the average length of the three phylogenies that did account for recombination (14.2 coalescent time units).

Figure 3

ClonalFrame 75% majority-rule consensus phylogeny (node posterior probabilities are at least 0.75). Posterior probabilities for major lineages are shown at nodes. Dashed circles show each clonal complex (CC) and grey shading shows isolates assigned to the two clusters (A and B) determined by the Structure analysis. Taxa labels are colored as follows: red = canine isolate, blue = bovine isolate, green = feline isolate. The first number in the label shows isolate ID. For canine isolates, tissue source follows the isolate ID, which is followed by the ST. Tissue source abbreviations are as follows: thr = throat, vag = vaginal, uri = urine, der = dermis, wou = wound exudate. For bovine and feline isolates, the ID is followed by the geographic location of collection (ITA = Italy, BEL = Belgium, NY = New York state, USA). Strain 227.NY.1 (underlined) is the strain who’s genome was sequenced in this study. Circles with white centers indicate those strains that contained the plasmid discussed in the text. The strain shaded in dark grey (166.thr.7) was grouped with CC4 members based on ClonalFrame analysis but it was not contained within CC4 based on eBURST.

Figure 4

ClonalFrame 75% majority-rule consensus phylogenies with and without correction for recombination. The scale shows time in coalescent units. The phylogeny with recombination correction also shows for each isolate its proportion of ancestry for each genetic cluster determined by the Structure analyses. For K = 2 and K = 6, the different colors represent each cluster. The proportion of color shading for each bar represents the proportion of ancestry for the respective cluster. Vertical bars show the isolates assigned to clusters A and B when K = 2. Asterisk refers to bovine isolates; # refers to feline isolate.

The amount of recombination in bacteria can be quantified using two ratios: (i) the ratio of the frequency at which recombination occurs relative to mutation (ρ/θ), and (ii) the ratio of the rates at which nucleotides become substituted as a result of recombination and mutation (r/m). The latter ratio accounts for length and nucleotide diversity of imported fragments and therefore contains more information regarding the evolutionary impact of recombination [69]. Using ClonalFrame, we calculated these ratios to be: ρ/θ = 0.1 and r/m = 1.5, with the latter ratio indicating that recombination exceeded point mutation. Vos and Didelot [70] calculated r/m for 48 diverse species of bacteria, and their results revealed a wide range of values (63.6 – 0.02). r/m for S. canis ranked 25th in this distribution (approximately in the middle). However, the average of the 48 rates was 7.7, suggesting a below average rate of recombination for S. canis when compared to these species of bacteria. When compared to the two Streptococcus species in the distribution, S. canis was much lower: S. pneumoniae = 23.1 (6th), S. pyogenes = 17.2 (8th). Similar results were obtained when ρ/θ for S. canis was compared to other Streptococcus species: S. uberis = 17.2 [71], S. pneumoniae = 23.1 [72].

We expanded the evolutionary analysis by also applying the parsimony-based approach e-BURST [73], which explores fine scale evolutionary relationships among STs. The ClonalFrame phylogeny and e-BURST results were generally concordant regarding the grouping of STs (Figure 3). The only discrepancy was ST7, which showed an intermediate relationship between STs 9 and 10 in the phylogeny, but was not grouped within the same clonal complex (CC) as STs 9 and 10 (ST7 was not grouped into any of the four clonal complexes).

Population structure was further examined using the Bayesian clustering approach implemented in the program Structure [74, 75]. The number of clusters K was estimated by calculating the ad hoc statistic ΔK, which is a measure of the second order rate of change of the probability of the data L(K) for each value of K[76] (see Methods for a full explanation of the approach). The analysis showed the optimum number of genetic clusters (K) to be two (A and B) (Figure 3 and Additional file 6). All four clonal complexes and ST8 were grouped into cluster A, whereas cluster B contained STs 6, 14, and 15. The ClonalFrame phylogeny showed CC1 to be the most closely related lineage to cluster B; concordantly, this lineage shared a small proportion (~12%) of its ancestry with cluster B (Figure 4). Although ΔK indicated that K was two and the Ln P(D) scores plateaued for K values of two, three, and four (see Additional file 6), the Ln P(D) scores rose slightly after K = 4 and again plateaued starting with K = 6. This suggests a pattern of hierarchal differentiation among isolates, with further subdivision present within clusters. Assuming K = 6 for this additional subdivision, the assignment of individuals (proportion of ancestry) into these clusters delineated isolates into groups concordant with the six major lineages seen in the ClonalFrame phylogeny (Figure 4).

Only three (1, 2, and 14) of the 16 STs were found in bovines, and one of these (ST2) was a single locus variant of the predominant ST in cattle (ST1). Consequently, there was a much higher diversity of STs found in canine, producing a significant differentiation in the frequency of STs between the two hosts. Previous studies have shown the incidence of S. canis isolation from bovine to be rare [7782]. This observation coupled with the relatively low diversity of bovine STs suggests a recent adaptation to the bovine environment. Thus, the MLST data, the genomic features shared between S. canis and other bovine adapted Streptococcus species discussed earlier, and the epidemiological information associated with the original study regarding this strain [12], suggest that ST1 could be bovine adapted. The AMOVA, however, did not detect any significant differentiation between hosts. This is likely due to the fact that this analysis incorporates genetic distance and the strongest signal of differentiation (as detected by the Structure analysis) was between clusters A and B (Figure 3), both of which contain a bovine-associated ST (ST1 and ST14, respectively). This result does not necessarily preclude a very recent adaptation to the bovine environment for specific STs/lineages. If the adaptation were very recent, any phylogenetic signal recovered from the ST sequence data resulting from host partitioning would be very weak. Examination of the phylogeny (Figure 3) shows STs 1 and 2 to be closely related and contained within CC3, whereas ST14 is one of the most divergent ST from CC3. Given the above reasoning, this observation suggests that recent adaptation to the bovine environment must have occurred independently in these two lineages. A similar scenario was recently proposed for S. agalactiae where virulent lineages independently evolved from an ancestral core that were specific to human or bovine hosts [53].

There is, however, a possible alternative interpretation, that is contrary to the recent bovine adaptation argument. The most frequent ST was clearly ST1 (n = 22, 48% of isolates). This ST was also seen in all three hosts (canine, bovine, feline), including a wide range of canine tissue types (vaginal, ear, skin, urine, eye), and also all three sampling locations (USA, Italy, and Belgium). In contrast, with one exception, no other ST was seen in more than one host or geographic location. The exception was ST11, which was seen in both USA and Belgium. These observations suggest that ST1 is the most ancestral ST in the data set [83, 84], and also possibly a generalist, with the ability to infect different hosts and tissue types. Genomic comparisons showed that strain FSL S3-227 shared multiple mobile genetic elements with S. agalactiae and S. dysgalactiae subsp. dysgalactiae strains isolated from the bovine environment, with one of these elements (the ICE) showing high sequence divergence. Although the ICE contained the Lac.2 operon, suggesting that this LGT may have contributed to bovine adaptation, the high divergence and multiple additional LGTs suggest that S. canis ST1 may have had an extended association with the bovine environment, arguing against more recent adaptation. Consequently, if ST1’s lineage has possessed the ability to infect cows for an extended period of time, and is also the most ancestral with all lineages having descended from it, in order for the ST14 lineage to have recently acquired the ability to infect cows, all lineages intermediate between ST1 and ST14 must have previously lost this ability. This might have occurred as a single event on the branch connecting CC3 to ST8. Alternatively, all strains are generalist and the more recent lineages have simply had insufficient time to encounter the bovine environment and/or that our sample size was too low to detect their presence.

The distribution of the plasmid provides yet another perspective. The plasmid has only been observed in one additional species: S. agalactiae (strain FSL-S3026 [isolated from a bovine host], and strain NEM316 [potential association with the bovine environment]). Therefore, it is possible that the plasmid was exchanged between S. canis and S. agalactiae in the bovine environment, however, the plasmid appears randomly distributed among S. canis isolates, regardless of host species or ST. For example, (i) a Fisher exact test showed no significant difference in its distribution between bovine and canine isolates (P = 1.0), (ii) it was present in all clonal complexes and clusters, and (iii) it was present in all three hosts including a wide range of canine tissue types (vaginal, ear, throat, lip). Consequently, the plasmid appears to have moved freely between bovine and canine environments, supporting the generalist argument. An alternative explanation is that S. canis may have obtained the plasmid on independent occasions from one or more different hosts. A similar process involving various mobile genetic elements has been observed for various Streptococcus species [17, 85, 86].


Characterization of the genome sequence for S. canis strain FSL S3-227 detected a high diversity of virulence factors. Approximately three quarters of the genes that were homologous to known Streptococcus virulence factors are involved in invasion, evasion, and colonization, perhaps explaining S. canis's ability to infect a wide range of tissue types. Furthermore, the putative ancestral clonal complex (accounting for more than half of collected isolates) occurred in a wide range of tissue types, all hosts, and all geographic locations suggesting a wide and diverse niche. It has been demonstrated that the source of bovine S. canis infection can be other farm-yard animals such as domestic cats [12]. Our results, revealed high genetic similarity among bovine, feline, and canine sourced isolates further supporting domestic farm-yard animals as infection sources. Despite the modest level of recombination for S. canis when compared to other Streptococcus species, LGT is still clearly an important evolutionary phenomenon in this species as evidenced by the multiple MGE present within its genome (i.e. plasmid, phage, and ICE) and the occurrence of an integrative plasmid in approximately half of the collected isolates. Furthermore, the evidence for LGT between S. canis and two additional bovine mastitis causing pathogens (S. agalactiae, and S. dysgalactiae subsp. dysgalactiae) suggests a close association with the bovine environment for S. canis, with this LGT possibly contributing to adaptation to this environment. Many virulence factors are also carried within these MGE, further highlighting the importance of these mobile elements in the evolution of this pathogen. Furthermore, the high frequency of virulence factors within multiple MGE, coupled with LGT between S. canis and a human sourced bacteria (S. urinalis), suggests the possibility for additional transport of virulence factors into the human environment.


Strain selection, sequencing, and assembly

S. canis strain FSL Z3-227 was isolated from a composite milk sample obtained from a cow with an intra-mammary infection. The sample was collected on the 6th of April 1999 from a cow located in central New York State within a dairy herd experiencing an outbreak of S. canis induced mastitis. Bacterial culture and ribotyping results indicated that a farm cat with chronic sinusitus was the likely source of the outbreak [12]. Utilizing a seven-gene MLST scheme developed here (see below), strain FSL Z3-227 was determined to be ST1. This ST was associated with multiple host species (bovine, canine, feline). In addition, it was the most common ST among bovine isolates and the only ST to be found in all three countries represented in the study. Therefore, it was thought to have the potential to have a broad complement of virulence factors, including those potentially associated with niche adaptation in cattle, and was consequently selected for genome sequencing.

Roche/454 pyrosequencing was used to determine the genome sequence, and Newbler v1.1 (454 Life Sciences Corporation) was used to assemble the reads. Using restriction enzyme BgIII, an optical map of the genome was built by OpGen Technologies, Inc. (Madison, WI). Scaffold order and orientation was determined by alignment to the optical map using Opgen Mapviewer. Small inter and intra-scaffold gaps were closed by PCR and Sanger sequencing. Seven larger gaps were closed using long range PCR and Illumina sequencing. Illumina reads were assembled using Velvet [87], and the optimum assembly was determined using the N50 statistic. Annotation of the genome assembly was performed using the NCBI Prokaryotic Genomes Automatic Annotation Pipeline (PGAAP) and Blast2GO v.2.5.0 (E value cut-off = 1e-6 and minimum amino acid alignment length cut-off [hsp-length] = 33) [88] (annotations are shown in Additional file 2). 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.

Homologous gene clustering

The MCL algorithm [89] as implemented in the MCLBLASTLINE pipeline (available at was used to delineate homologous protein sequences among 214 Streptococcus genomes including S. canis (see Additional file 3). Based on sequence similarity, the pipeline uses Markov clustering (MCL) to assign genes to homologous clusters. Similarity was obtained from a reciprocal BLASTp within and between all genome pairs using an E value cut-off of 1e-5. The MCL algorithm was implemented using an inflation parameter of 1.8. Simulations have shown this value to be generally robust to false positives and negatives [90].

Virulence factors

Amino acid sequences for all S. canis CDS were searched against the VFDB using BLASTp. We used an E value cut-off of 1e-5 and retained the single best hit. The search was refined by repeating the BLASTp search against a database that contained only Streptococcus virulence factors (88 genes).

Population genetics

Including the strain genome sequenced here, a total of 83 S. canis isolates were obtained from bovine (n = 56), canine (n = 26), and feline (n = 1) hosts (Table 1). Isolates of canine/feline origin included 25 canine isolates from patients of Cornell University’s College of Veterinary Medicine, Ithaca, NY, USA, one canine isolate from Belgium, and one isolate from a cat living on a dairy farm in upstate New York. The feline isolate was the likely source of a mastitis outbreak at the same farm. Canine isolates from NY originated from dermis (n = 1), ear swabs (n = 7), eye (n = 1), hock abscess (n = 1), lip (n = 1), pharyngeal swabs (n = 5), urine (n = 1), and vaginal swabs (n = 8), and were collected from December 2003 to May 2004. The canine isolate from Belgium originated from wound exudate [1] and the feline isolate originated from a nasal swab taken from a cat with chronic sinusitis [12]. Bovine isolates originated from one herd in Belgium (from mastitic milk; [1], seven dairy herds in Italy (16 isolates from bovine milk; collected in 2003 and 2004), and 10 dairy herds in NY (two isolates from milking machine liners, one isolate from bulk tank milk, and 34 cow milk isolates; collected from 1999 to 2005). In addition to strain FSL Z3-227, all 82 isolates were ribotyped using the commercial RiboPrinter system with EcoRI.

Single isolates representing the ribotypes seen in each herd (two isolates from the herd U-10 and a single isolate from each of the remaining herds) (n = 19) were combined with all canine/feline isolates (n = 27) and further screened using a seven housekeeping MLST scheme with PCR primers previously used for characterization of S. pyogenes, S. pneumoniae, or S. uberis[9195]. See Additional file 7 for primer sequences and PCR profiles. MLST allele sequences were aligned using MAFFT v6.814b [96] as implemented in Geneious v5.1.2. Isolate genetic diversity indices were calculated using the program DNASP version 4.0 [97]. Diversity indices among STs were obtained by concatenating the seven alleles (4,014 bp). Diversity among ribotypes and STs was calculated using the formula for haplotype (gene) diversity [97]. Again using the concatenated allele sequences, population differentiation between bovine and canine groupings of isolates (bovine = 19 canine = 26) was determined by assessing the frequency distribution of STs (Fisher exact test) between the groups. Differentiation was also determined by an AMOVA as implemented in Arlequin v3.11 [98]. The AMOVA differs from the exact test because in addition to assessing ST frequency distribution, it also considers genetic divergence among isolate sequences in its determination of differentiation.

With the exception of strain FSL Z3-227 (our genome sequence), all isolates typed using the MLST scheme (n = 45) were also PCR screened for the presence of a 55 CDS plasmid (see Results and discussion). Presence/absence of the plasmid was determined using 25 primer pairs that were contiguous along the length of the plasmid (see Additional file 8).

Evolutionary relationships among STs were examined using eBURSTv3 [73]. STs were grouped into clonal complexes and support for complex founders was estimated using 1000 bootstrap replicates. We used the most stringent (default) eBURST setting for grouping STs into a complex, where STs within the same complex shared identical alleles at ≥ six of the seven loci with at least one other member of the complex.

Deeper evolutionary relationships (among clonal complexes for example) were inferred using the Bayesian phylogenetic approach implemented in ClonalFrame v1.1 [68]. This approach incorporates a model that attempts to account for recombination. The Markov chain was run with 1,000,000 iterations after an initial burn-in of 50,000 iterations. Three independent runs were used to assess topological convergence. To assess the effect of recombination, all runs were repeated with the recombination rate parameter (R) held at zero (i.e. the effect of recombination on the topology was not accounted for). We used ClonalFrame to calculate the recombination ratios ρ/θ and r/m (average of the three runs).

Isolates were clustered using the Bayesian approach implemented in Structure v2.3.2 [74]. The number of clusters K was estimated by calculating the ad hoc statistic ΔK[76]. ΔK was calculated for K = 1 through 10 using 5 Markov chains for each value of K. The simulations of Evanno et al. [76] showed that the highest value for ΔK reliably identified the optimum value of K. Chains were run for 500,000 steps following an initial burn-in of 100,000 steps, using the admixture ancestry and correlated allele frequency models. Once the optimum value of K was identified, strains were assigned to clusters using assignment coefficients (proportion of cluster membership) generated from an additional run utilizing the linkage ancestry and correlated allele frequency models. A study of recombinant bacterial populations showed the linkage model of ancestry to produce the most accurate assignment scores in situations where there are multiple linked loci along contiguous sections of DNA [75]. The model assumes these sections, which could be recombinant, to be discrete units of inheritance. Markov chains were run for 2,000,000 steps following an initial burn-in of 500,000 steps.


  1. 1.

    Devriese LA, Hommez J, Kilpper-Balz R, Schleifer KH: Streptococcus canis sp. nov.: a species of group G streptococci from animals. Int J Syst Bacteriol. 1986, 36 (3): 422-425. 10.1099/00207713-36-3-422.

    Article  Google Scholar 

  2. 2.

    Vandamme P, Pot B, Falsen E, Kersters K, Devriese LA: Taxonomic study of Lancefield streptococcal groups C, G, and L (Streptococcus dysgalactiae) and proposal of S. dysgalactiae subsp. equisimilis subsp. nov. Int J Syst Bacteriol. 1996, 46 (3): 774-781. 10.1099/00207713-46-3-774.

    PubMed  CAS  Article  Google Scholar 

  3. 3.

    Murase T, Morita T, Sunagawa Y, Sawada M, Shimada A, Sato K, Hikasa Y: Isolation of Streptococcus canis from a Japanese raccoon dog with fibrinous pleuropneumonia. Vet Rec. 2003, 153 (15): 471-472. 10.1136/vr.153.15.471.

    PubMed  CAS  Article  Google Scholar 

  4. 4.

    Iglauer F, Kunstyr I, Morstedt R, Farouq H, Wullenweber M, Damsch S: Streptococcus canis arthritis in a cat breeding colony. J Exp Anim Sci. 1991, 34 (2): 59-65.

    PubMed  CAS  Google Scholar 

  5. 5.

    Pesavento PA, Bannasch MJ, Bachmann R, Byrne BA, Hurley KF: Fatal Streptococcus canis infections in intensively housed shelter cats. Vet Pathol. 2007, 44 (2): 218-221. 10.1354/vp.44-2-218.

    PubMed  CAS  Article  Google Scholar 

  6. 6.

    Kruger EF, Byrne BA, Pesavento P, Hurley KF, Lindsay LL, Sykes JE: Relationship between clinical manifestations and pulsed-field gel profiles of Streptococcus canis isolates from dogs and cats. Vet Microbiol. 2010, 146 (1–2): 167-171.

    PubMed  CAS  Article  Google Scholar 

  7. 7.

    Matsuu A, Kanda T, Sugiyama A, Murase T, Hikasa Y: Mitral stenosis with bacterial myocarditis in a cat. J Vet Med Sci. 2007, 69 (11): 1171-1174. 10.1292/jvms.69.1171.

    PubMed  Article  Google Scholar 

  8. 8.

    Sura R, Hinckley LS, Risatti GR, Smyth JA: Fatal necrotising fasciitis and myositis in a cat associated with Streptococcus canis. Vet Rec. 2008, 162 (14): 450-453. 10.1136/vr.162.14.450.

    PubMed  CAS  Article  Google Scholar 

  9. 9.

    DeWinter LM, Prescott JF: Relatedness of Streptococcus canis from canine streptococcal toxic shock syndrome and necrotizing fasciitis. Can J Vet Res. 1999, 63 (2): 90-95.

    PubMed  CAS  PubMed Central  Google Scholar 

  10. 10.

    Hassan AA, Akineden O, Usleber E: Identification of Streptococcus canis isolated from milk of dairy cows with subclinical mastitis. J Clin Microbiol. 2005, 43 (3): 1234-1238. 10.1128/JCM.43.3.1234-1238.2005.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  11. 11.

    Chaffer M, Friedman S, Saran A, Younis A: An outbreak of Streptococcus canis mastitis in a dairy herd in Israel. N Z Vet J. 2005, 53 (4): 261-264. 10.1080/00480169.2005.36557.

    PubMed  CAS  Article  Google Scholar 

  12. 12.

    Tikofsky LL, Zadoks RN: Cross-infection between cats and cows: origin and control of Streptococcus canis mastitis in a dairy herd. J Dairy Sci. 2005, 88 (8): 2707-2713. 10.3168/jds.S0022-0302(05)72949-0.

    PubMed  CAS  Article  Google Scholar 

  13. 13.

    Galperine T, Cazorla C, Blanchard E, Boineau F, Ragnaud JM, Neau D: Streptococcus canis infections in humans: retrospective study of 54 patients. J Infect. 2007, 55 (1): 23-26. 10.1016/j.jinf.2006.12.013.

    PubMed  Article  Google Scholar 

  14. 14.

    Lam MM, Clarridge JE, Young EJ, Mizuki S: The other group G Streptococcus: increased detection of Streptococcus canis ulcer infections in dog owners. J Clin Microbiol. 2007, 45 (7): 2327-2329. 10.1128/JCM.01765-06.

    PubMed  PubMed Central  Article  Google Scholar 

  15. 15.

    Whatmore AM, Engler KH, Gudmundsdottir G, Efstratiou A: Identification of isolates of Streptococcus canis infecting humans. J Clin Microbiol. 2001, 39 (11): 4196-4199. 10.1128/JCM.39.1.4196-4199.2001.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  16. 16.

    Bert F, Lambert-Zechovsky N: Septicemia caused by Streptococcus canis in a human. J Clin Microbiol. 1997, 35 (3): 777-779.

    PubMed  CAS  PubMed Central  Google Scholar 

  17. 17.

    Lefebure T, Richards VP, Lang P, Pavinski-Bitar P, Stanhope MJ: Gene repertoire evolution of Streptococcus pyogenes inferred from phylogenomic analysis with Streptococcus canis and Streptococcus dysgalactiae. PLoS One. 2012, 7 (5): e37607-10.1371/journal.pone.0037607.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  18. 18.

    Jensen A, Kilian M: Delineation of Streptococcus dysgalactiae, its subspecies, and its clinical and phylogenetic relationship to Streptococcus pyogenes. J Clin Microbiol. 2012, 50 (1): 113-126. 10.1128/JCM.05900-11.

    PubMed  PubMed Central  Article  Google Scholar 

  19. 19.

    Shinozaki-Kuwahara N, Takada K, Hirasawa M: Streptococcus ursoris sp. nov., isolated from the oral cavities of bears. Int J Syst Evol Microbiol. 2011, 61 (Pt 1): 40-44.

    PubMed  CAS  Article  Google Scholar 

  20. 20.

    Tapp J, Thollesson M, Herrmann B: Phylogenetic relationships and genotyping of the genus Streptococcus by sequence determination of the RNase P RNA gene, rnpB. Int J Syst Evol Microbiol. 2003, 53 (Pt 6): 1861-1871.

    PubMed  CAS  Article  Google Scholar 

  21. 21.

    Suzuki H, Lefebure T, Hubisz MJ, Pavinski Bitar P, Lang P, Siepel A, Stanhope MJ: Comparative genomic analysis of the Streptococcus dysgalactiae species group: gene content, molecular adaptation, and promoter evolution. Genome Biol Evol. 2011, 3: 168-185. 10.1093/gbe/evr006.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  22. 22.

    Broyles LN, Van Beneden C, Beall B, Facklam R, Shewmaker PL, Malpiedi P, Daily P, Reingold A, Farley MM: Population-based study of invasive disease due to beta-hemolytic streptococci of groups other than A and B. Clin Infect Dis. 2009, 48 (6): 706-712. 10.1086/597035.

    PubMed  Article  Google Scholar 

  23. 23.

    DeWinter LM, Low DE, Prescott JF: Virulence of Streptococcus canis from canine streptococcal toxic shock syndrome and necrotizing fasciitis. Vet Microbiol. 1999, 70 (1–2): 95-110.

    PubMed  CAS  Article  Google Scholar 

  24. 24.

    Kanaya S, Yamada Y, Kudo Y, Ikemura T: Studies of codon usage and tRNA genes of 18 unicellular organisms and quantification of Bacillus subtilis tRNAs: gene expression level and species-specific diversity of codon usage based on multivariate analysis. Gene. 1999, 238 (1): 143-155. 10.1016/S0378-1119(99)00225-5.

    PubMed  CAS  Article  Google Scholar 

  25. 25.

    Sharp PM, Bailes E, Grocock RJ, Peden JF, Sockett RE: Variation in the strength of selected codon usage bias among bacteria. Nucleic Acids Res. 2005, 33 (4): 1141-1153. 10.1093/nar/gki242.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  26. 26.

    Stothard P, Wishart DS: Circular genome visualization and exploration using CGView. Bioinformatics. 2005, 21 (4): 537-539. 10.1093/bioinformatics/bti054.

    PubMed  CAS  Article  Google Scholar 

  27. 27.

    Bhakdi S, Tranum-Jensen J, Sziegoleit A: Mechanism of membrane damage by streptolysin-O. Infect Immun. 1985, 47 (1): 52-60.

    PubMed  CAS  PubMed Central  Google Scholar 

  28. 28.

    Lang SH, Palmer M: Characterization of Streptococcus agalactiae CAMP factor as a pore-forming toxin. J Biol Chem. 2003, 278 (40): 38167-38173. 10.1074/jbc.M303544200.

    PubMed  CAS  Article  Google Scholar 

  29. 29.

    Bisno AL, Brito MO, Collins CM: Molecular basis of group A streptococcal virulence. Lancet Infect Dis. 2003, 3 (4): 191-200. 10.1016/S1473-3099(03)00576-0.

    PubMed  CAS  Article  Google Scholar 

  30. 30.

    Panchaud A, Guy L, Collyn F, Haenni M, Nakata M, Podbielski A, Moreillon P, Roten CA: M-protein and other intrinsic virulence factors of Streptococcus pyogenes are encoded on an ancient pathogenicity island. BMC Genomics. 2009, 10: 198-10.1186/1471-2164-10-198.

    PubMed  PubMed Central  Article  Google Scholar 

  31. 31.

    Yang J, Liu Y, Xu J, Li B: Characterization of a new protective antigen of Streptococcus canis. Vet Res Commun. 2010, 34 (5): 413-421. 10.1007/s11259-010-9414-1.

    PubMed  Article  Google Scholar 

  32. 32.

    Nizet V, Beall B, Bast DJ, Datta V, Kilburn L, Low DE, De Azavedo JC: Genetic locus for streptolysin S production by group A Streptococcus. Infect Immun. 2000, 68 (7): 4245-4254. 10.1128/IAI.68.7.4245-4254.2000.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  33. 33.

    Todd E: The differentiation of two distinct serologic varieties of streptolysin, streptolysin O and streptolysin S. J Pathol Bacteriol. 1938, 47: 423-445. 10.1002/path.1700470307.

    CAS  Article  Google Scholar 

  34. 34.

    Humar D, Datta V, Bast DJ, Beall B, De Azavedo JC, Nizet V: Streptolysin S and necrotising infections produced by group G Streptococcus. Lancet. 2002, 359 (9301): 124-129. 10.1016/S0140-6736(02)07371-3.

    PubMed  CAS  Article  Google Scholar 

  35. 35.

    Fuller JD, Camus AC, Duncan CL, Nizet V, Bast DJ, Thune RL, Low DE, De Azavedo JC: Identification of a streptolysin S-associated gene cluster and its role in the pathogenesis of Streptococcus iniae disease. Infect Immun. 2002, 70 (10): 5730-5739. 10.1128/IAI.70.10.5730-5739.2002.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  36. 36.

    Molloy EM, Cotter PD, Hill C, Mitchell DA, Ross RP: Streptolysin S-like virulence factors: the continuing sagA. Nat Rev Microbiol. 2011, 9 (9): 670-681. 10.1038/nrmicro2624.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  37. 37.

    Koh TH, Sng LH, Yuen SM, Thomas CK, Tan PL, Tan SH, Wong NS: Streptococcal cellulitis following preparation of fresh raw seafood. Zoonoses Public Health. 2009, 56 (4): 206-208. 10.1111/j.1863-2378.2008.01213.x.

    PubMed  CAS  Article  Google Scholar 

  38. 38.

    Sun JR, Yan JC, Yeh CY, Lee SY, Lu JJ: Invasive infection with Streptococcus iniae in Taiwan. J Med Microbiol. 2007, 56 (Pt 9): 1246-1249.

    PubMed  Article  Google Scholar 

  39. 39.

    Facklam R, Elliott J, Shewmaker L, Reingold A: Identification and characterization of sporadic isolates of Streptococcus iniae isolated from humans. J Clin Microbiol. 2005, 43 (2): 933-937. 10.1128/JCM.43.2.933-937.2005.

    PubMed  PubMed Central  Article  Google Scholar 

  40. 40.

    Bekal S, Gaudreau C, Laurence RA, Simoneau E, Raynal L: Streptococcus pseudoporcinus sp. nov., a novel species isolated from the genitourinary tract of women. J Clin Microbiol. 2006, 44 (7): 2584-2586. 10.1128/JCM.02707-05.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  41. 41.

    Weinstein MR, Litt M, Kertesz DA, Wyper P, Rose D, Coulter M, McGeer A, Facklam R, Ostach C, Willey BM, et al: Invasive infections due to a fish pathogen, Streptococcus iniae. S. iniae Study Group. N Engl J Med. 1997, 337 (9): 589-594. 10.1056/NEJM199708283370902.

    PubMed  CAS  Article  Google Scholar 

  42. 42.

    Kawamura Y, Hou XG, Sultana F, Miura H, Ezaki T: Determination of 16S rRNA sequences of Streptococcus mitis and Streptococcus gordonii and phylogenetic relationships among members of the genus Streptococcus. Int J Syst Bacteriol. 1995, 45 (2): 406-408. 10.1099/00207713-45-2-406.

    PubMed  CAS  Article  Google Scholar 

  43. 43.

    Jedrzejas MJ: Pneumococcal virulence factors: structure and function. Microbiol Mol Biol Rev. 2001, 65 (2): 187-207. 10.1128/MMBR.65.2.187-207.2001. first page, table of contents

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  44. 44.

    Harvill ET, Preston A, Cotter PA, Allen AG, Maskell DJ, Miller JF: Multiple roles for Bordetella lipopolysaccharide molecules during respiratory tract infection. Infect Immun. 2000, 68 (12): 6720-6728. 10.1128/IAI.68.12.6720-6728.2000.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  45. 45.

    Glaser P, Rusniok C, Buchrieser C, Chevalier F, Frangeul L, Msadek T, Zouine M, Couve E, Lalioui L, Poyart C, et al: Genome sequence of Streptococcus agalactiae, a pathogen causing invasive neonatal disease. Mol Microbiol. 2002, 45 (6): 1499-1513. 10.1046/j.1365-2958.2002.03126.x.

    PubMed  CAS  Article  Google Scholar 

  46. 46.

    Chastanet A, Prudhomme M, Claverys JP, Msadek T: Regulation of Streptococcus pneumoniae clp genes and their role in competence development and stress survival. J Bacteriol. 2001, 183 (24): 7295-7307. 10.1128/JB.183.24.7295-7307.2001.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  47. 47.

    Blum G, Ott M, Lischewski A, Ritter A, Imrich H, Tschape H, Hacker J: Excision of large DNA regions termed pathogenicity islands from tRNA-specific loci in the chromosome of an Escherichia coli wild-type pathogen. Infect Immun. 1994, 62 (2): 606-614.

    PubMed  CAS  PubMed Central  Google Scholar 

  48. 48.

    Dobrindt U, Blum-Oehler G, Nagy G, Schneider G, Johann A, Gottschalk G, Hacker J: Genetic structure and distribution of four pathogenicity islands (PAI I(536) to PAI IV(536)) of uropathogenic Escherichia coli strain 536. Infect Immun. 2002, 70 (11): 6365-6372. 10.1128/IAI.70.11.6365-6372.2002.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  49. 49.

    Sampath J, Vijayakumar MN: Identification of a DNA cytosine methyltransferase gene in conjugative transposon Tn5252. Plasmid. 1998, 39 (1): 63-76. 10.1006/plas.1997.1316.

    PubMed  CAS  Article  Google Scholar 

  50. 50.

    Saunders J, Saunders V: Bacterial transformation with plasmid DNA. Methods in Microbiology Volume 21. Edited by: Grinsted J, Bennett P. 1988, London:Academic Press,

    Google Scholar 

  51. 51.

    Sumby P, Barbian KD, Gardner DJ, Whitney AR, Welty DM, Long RD, Bailey JR, Parnell MJ, Hoe NP, Adams GG, et al: Extracellular deoxyribonuclease made by group A Streptococcus assists pathogenesis by enhancing evasion of the innate immune response. Proc Natl Acad Sci U S A. 2005, 102 (5): 1679-1684. 10.1073/pnas.0406641102.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  52. 52.

    Richards VP, Lang P, Bitar PD, Lefebure T, Schukken YH, Zadoks RN, Stanhope MJ: Comparative genomics and the role of lateral gene transfer in the evolution of bovine adapted Streptococcus agalactiae. Infect Genet Evol. 2011, 11 (6): 1263-1275. 10.1016/j.meegid.2011.04.019.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  53. 53.

    Sørensen UB, Poulsen K, Ghezzo C, Margarit I, Kilian M: Emergence and Global Dissemination of Host-Specific Streptococcus agalactiae Clones. MBio. 2010, 1 (3):

  54. 54.

    Brochet M, Couve E, Zouine M, Vallaeys T, Rusniok C, Lamy MC, Buchrieser C, Trieu-Cuot P, Kunst F, Poyart C, et al: Genomic diversity and evolution within the species Streptococcus agalactiae. Microbes Infect. 2006, 8 (5): 1227-1243. 10.1016/j.micinf.2005.11.010.

    PubMed  CAS  Article  Google Scholar 

  55. 55.

    Bisharat N, Crook DW, Leigh J, Harding RM, Ward PN, Coffey TJ, Maiden MC, Peto T, Jones N: Hyperinvasive neonatal group B Streptococcus has arisen from a bovine ancestor. J Clin Microbiol. 2004, 42 (5): 2161-2167. 10.1128/JCM.42.5.2161-2167.2004.

    PubMed  PubMed Central  Article  Google Scholar 

  56. 56.

    Canchaya C, Proux C, Fournous G, Bruttin A, Brussow H: Prophage genomics. Microbiol Mol Biol Rev. 2003, 67 (2): 238-276. 10.1128/MMBR.67.2.238-276.2003.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  57. 57.

    Lucchini S, Desiere F, Brussow H: Similarly organized lysogeny modules in temperate Siphoviridae from low GC content gram-positive bacteria. Virology. 1999, 263 (2): 427-435. 10.1006/viro.1999.9959.

    PubMed  CAS  Article  Google Scholar 

  58. 58.

    Li J, Kasper DL, Ausubel FM, Rosner B, Michel JL: Inactivation of the alpha C protein antigen gene, bca, by a novel shuttle/suicide vector results in attenuation of virulence and immunity in group B Streptococcus. Proc Natl Acad Sci U S A. 1997, 94 (24): 13251-13256. 10.1073/pnas.94.24.13251.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  59. 59.

    Peltroche-Llacsahuanga H, Frye B, Haase G: Isolation of Streptococcus urinalis from a human blood culture. J Med Microbiol. 2012, 61 (Pt 5): 740-742.

    PubMed  Article  Google Scholar 

  60. 60.

    Collins MD, Hutson RA, Falsen E, Nikolaitchouk N, LaClaire L, Facklam RR: An unusual Streptococcus from human urine, Streptococcus urinalis sp. nov. Int J Syst Evol Microbiol. 2000, 50 Pt 3: 1173-1178.

    PubMed  CAS  Article  Google Scholar 

  61. 61.

    Rabel C, Grahn AM, Lurz R, Lanka E: The VirB4 family of proposed traffic nucleoside triphosphatases: common motifs in plasmid RP4 TrbE are essential for conjugation and phage adsorption. J Bacteriol. 2003, 185 (3): 1045-1058. 10.1128/JB.185.3.1045-1058.2003.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  62. 62.

    Haenni M, Saras E, Bertin S, Leblond P, Madec JY, Payot S: Diversity and mobility of integrative and conjugative elements in bovine isolates of Streptococcus agalactiae,S. dysgalactiaesubsp. dysgalactiae, and S. uberis. Appl Environ Microbiol. 2010, 76 (24): 7957-7965. 10.1128/AEM.00805-10.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  63. 63.

    Paoletti C, Foglia G, Princivalli MS, Magi G, Guaglianone E, Donelli G, Pruzzo C, Biavasco F, Facinelli B: Co-transfer of vanA and aggregation substance genes from Enterococcus faecalis isolates in intra- and interspecies matings. J Antimicrob Chemother. 2007, 59 (5): 1005-1009. 10.1093/jac/dkm057.

    PubMed  CAS  Article  Google Scholar 

  64. 64.

    Ferretti JJ, McShan WM, Ajdic D, Savic DJ, Savic G, Lyon K, Primeaux C, Sezate S, Suvorov AN, Kenton S, et al: Complete genome sequence of an M1 strain of Streptococcus pyogenes. Proc Natl Acad Sci U S A. 2001, 98 (8): 4658-4663. 10.1073/pnas.071559398.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  65. 65.

    Pryor SM, Cursons RT, Williamson JH, Lacy-Hulbert SJ: Experimentally induced intramammary infection with multiple strains of Streptococcus uberis. J Dairy Sci. 2009, 92 (11): 5467-5475. 10.3168/jds.2009-2223.

    PubMed  CAS  Article  Google Scholar 

  66. 66.

    Zadoks RN, Schukken YH: Use of molecular epidemiology in veterinary practice. Vet Clin North Am Food Anim Pract. 2006, 22 (1): 229-261. 10.1016/j.cvfa.2005.11.005.

    PubMed  Article  Google Scholar 

  67. 67.

    Excoffier L, Smouse PE, Quattro JM: Analysis of molecular variance inferred from metric distances among DNA haplotypes: Application to human mitochondrial DNA restriction data. Genetics. 1992, 131: 479-491.

    PubMed  CAS  PubMed Central  Google Scholar 

  68. 68.

    Didelot X, Falush D: Inference of bacterial microevolution using multilocus sequence data. Genetics. 2007, 175 (3): 1251-1266.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  69. 69.

    Guttman DS, Dykhuizen DE: Clonal divergence in Escherichia coli as a result of recombination, not mutation. Science. 1994, 266 (5189): 1380-1383. 10.1126/science.7973728.

    PubMed  CAS  Article  Google Scholar 

  70. 70.

    Vos M, Didelot X: A comparison of homologous recombination rates in bacteria and archaea. ISME J. 2009, 3 (2): 199-208. 10.1038/ismej.2008.93.

    PubMed  CAS  Article  Google Scholar 

  71. 71.

    Lang P, Lefebure T, Wang W, Zadoks RN, Schukken Y, Stanhope MJ: Gene content differences across strains of Streptococcus uberis identified using oligonucleotide microarray comparative genomic hybridization. Infect Genet Evol. 2009, 9 (2): 179-188. 10.1016/j.meegid.2008.10.015.

    PubMed  CAS  Article  Google Scholar 

  72. 72.

    Fraser C, Hanage WP, Spratt BG: Neutral microepidemic evolution of bacterial pathogens. Proc Natl Acad Sci U S A. 2005, 102 (6): 1968-1973. 10.1073/pnas.0406993102.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  73. 73.

    Feil EJ, Li BC, Aanensen DM, Hanage WP, Spratt BG: eBURST: inferring patterns of evolutionary descent among clusters of related bacterial genotypes from multilocus sequence typing data. J Bacteriol. 2004, 186 (5): 1518-1530. 10.1128/JB.186.5.1518-1530.2004.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  74. 74.

    Pritchard JK, Stephens M, Donnelly P: Inference of population structure using multilocus genotype data. Genetics. 2000, 155 (2): 945-959.

    PubMed  CAS  PubMed Central  Google Scholar 

  75. 75.

    Falush D, Stephens M, Pritchard JK: Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies. Genetics. 2003, 164 (4): 1567-1587.

    PubMed  CAS  PubMed Central  Google Scholar 

  76. 76.

    Evanno G, Regnaut S, Goudet J: Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol. 2005, 14 (8): 2611-2620. 10.1111/j.1365-294X.2005.02553.x.

    PubMed  CAS  Article  Google Scholar 

  77. 77.

    Persson Y, Nyman AK, Gronlund-Andersson U: Etiology and antimicrobial susceptibility of udder pathogens from cases of subclinical mastitis in dairy cows in Sweden. Acta Vet Scand. 2011, 53: 36-10.1186/1751-0147-53-36.

    PubMed  PubMed Central  Article  Google Scholar 

  78. 78.

    Piepers S, De Meulemeester L, de Kruif A, Opsomer G, Barkema HW, De Vliegher S: Prevalence and distribution of mastitis pathogens in subclinically infected dairy cows in Flanders, Belgium. J Dairy Res. 2007, 74 (4): 478-483.

    PubMed  CAS  Article  Google Scholar 

  79. 79.

    Sampimon O, Barkema HW, Berends I, Sol J, Lam T: Prevalence of intramammary infection in Dutch dairy herds. J Dairy Res. 2009, 76 (2): 129-136. 10.1017/S0022029908003762.

    PubMed  CAS  Article  Google Scholar 

  80. 80.

    Petrovski KR, Heuer C, Parkinson TJ, Williamson NB: The incidence and aetiology of clinical bovine mastitis on 14 farms in Northland, New Zealand. N Z Vet J. 2009, 57 (2): 109-115. 10.1080/00480169.2009.36887.

    PubMed  CAS  Article  Google Scholar 

  81. 81.

    Guelat-Brechbuehl M, Thomann A, Albini S, Moret-Stalder S, Reist M, Bodmer M, Michel A, Niederberger MD, Kaufmann T: Cross-sectional study of Streptococcus species in quarter milk samples of dairy cows in the canton of Bern, Switzerland. Vet Rec. 2010, 167 (6): 211-215. 10.1136/vr.167.6.211.

    PubMed  CAS  Article  Google Scholar 

  82. 82.

    Bengtsson B, Unnerstad HE, Ekman T, Artursson K, Nilsson-Ost M, Waller KP: Antimicrobial susceptibility of udder pathogens from cases of acute clinical mastitis in dairy cows. Vet Microbiol. 2009, 136 (1–2): 142-149.

    PubMed  CAS  Article  Google Scholar 

  83. 83.

    Avise JC: Phylogeography. The history and formation of species. 2000, Cambridge,MA: Harvard University Press,

    Google Scholar 

  84. 84.

    Templeton AR: Population genetics and microevolutionary theory. 2006, New Jersey:Wiley,

    Book  Google Scholar 

  85. 85.

    Delorme C, Poyart C, Ehrlich SD, Renault P: Extent of horizontal gene transfer in evolution of Streptococci of the salivarius group. J Bacteriol. 2007, 189 (4): 1330-1341. 10.1128/JB.01058-06.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  86. 86.

    Davies MR, Tran TN, McMillan DJ, Gardiner DL, Currie BJ, Sriprakash KS: Inter-species genetic movement may blur the epidemiology of streptococcal diseases in endemic regions. Microbes Infect. 2005, 7 (9–10): 1128-1138.

    PubMed  CAS  Article  Google Scholar 

  87. 87.

    Zerbino DR, Birney E: Velvet: algorithms for de novo short read assembly using de Bruijn graphs. Genome Res. 2008, 18 (5): 821-829. 10.1101/gr.074492.107.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  88. 88.

    Gotz S, Garcia-Gomez JM, Terol J, Williams TD, Nagaraj SH, Nueda MJ, Robles M, Talon M, Dopazo J, Conesa A: High-throughput functional annotation and data mining with the Blast2GO suite. Nucleic Acids Res. 2008, 36 (10): 3420-3435. 10.1093/nar/gkn176.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  89. 89.

    van Dongen S: University of Utrecht. Graph clustering by flow simulation. 2000

    Google Scholar 

  90. 90.

    Brohee S, van Helden J: Evaluation of clustering algorithms for protein-protein interaction networks. BMC Bioinformatics. 2006, 7: 488-10.1186/1471-2105-7-488.

    PubMed  PubMed Central  Article  Google Scholar 

  91. 91.

    Enright MC, Spratt BG: A multilocus sequence typing scheme for Streptococcus pneumoniae: identification of clones associated with serious invasive disease. Microbiology. 1998, 144 (Pt 11): 3049-3060.

    PubMed  CAS  Article  Google Scholar 

  92. 92.

    Enright MC, Spratt BG, Kalia A, Cross JH, Bessen DE: Multilocus sequence typing of Streptococcus pyogenes and the relationships between emm type and clone. Infect Immun. 2001, 69 (4): 2416-2427. 10.1128/IAI.69.4.2416-2427.2001.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  93. 93.

    Goh SH, Santucci Z, Kloos WE, Faltyn M, George CG, Driedger D, Hemmingsen SM: Identification of Staphylococcus species and subspecies by the chaperonin 60 gene identification method and reverse checkerboard hybridization. J Clin Microbiol. 1997, 35 (12): 3116-3121.

    PubMed  CAS  PubMed Central  Google Scholar 

  94. 94.

    Ke D, Picard FJ, Martineau F, Menard C, Roy PH, Ouellette M, Bergeron MG: Development of a PCR assay for rapid detection of enterococci. J Clin Microbiol. 1999, 37 (11): 3497-3503.

    PubMed  CAS  PubMed Central  Google Scholar 

  95. 95.

    Zadoks RN, Schukken YH, Wiedmann M: Multilocus sequence typing of Streptococcus uberis provides sensitive and epidemiologically relevant subtype information and reveals positive selection in the virulence gene pauA. J Clin Microbiol. 2005, 43 (5): 2407-2417. 10.1128/JCM.43.5.2407-2417.2005.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  96. 96.

    Katoh K, Misawa K, Kuma K, Miyata T: MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform. Nucleic Acids Res. 2002, 30 (14): 3059-3066. 10.1093/nar/gkf436.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  97. 97.

    Rozas J, Sánchez-DelBarrio J, Messegyer X, Rozas R: DNASP, DNA polymorphism analyses by the coalescent and other methods. Bioinformatics. 2003, 19: 2496-2497. 10.1093/bioinformatics/btg359.

    PubMed  CAS  Article  Google Scholar 

  98. 98.

    Excoffier L, Laval G, Schneider S: Arlequin (version 3.0): an integrated software package for population genetics data analysis. Evol Bioinform Online. 2005, 1: 47-50.

    CAS  PubMed Central  Google Scholar 

Download references


We would like to thank staff from Cornell University’s Quality Milk Production Services and Animal Health Diagnostic Centre for their contribution to sample and isolate collection. This study made use of PathogenTracker 2.0 (, developed by Martin Wiedmann. This work was supported by the National Institute of Allergy and Infectious Disease, U.S. National Institutes of Health, under Grant No. AI073368 awarded to M.J.S.

Author information



Corresponding author

Correspondence to Michael J Stanhope.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

VPR conducted data analysis and wrote the manuscript; MJS provided the conceptual framework, experimental design, and helped write the manuscript; PDPB and PL conducted laboratory work associated with genome sequencing; TL conducted data analysis and genome assembly; BW conducted laboratory work associated with the survey of plasmid distribution across canine and bovine isolates; LT, and PM conducted field work associated with population genetics; RNZ conceived of the field and laboratory work for population genetics, conducted MLST and ribotyping, and was involved in manuscript preparation. All authors read and approved the final manuscript.

Electronic supplementary material

RefSeq genome summary statistics.

Additional file 1: Streptococcus RefSeq genome summary statistics.(DOC 102 KB)


Additional file 2: S. canis annotation.(XLS 540 KB)


Additional file 3: Streptococcus genomes.(XLS 30 KB)

Additional file 4: Insertion sites of putative integrative plasmid.(DOC 58 KB)

isolate MLST allele data.

Additional file 5: S. canis isolate MLST allele data.(DOC 87 KB)


Additional file 6: P(D) scores for Structure analysis.(DOC 206 KB)

Additional file 7: MLST PCR primer details.(DOC 118 KB)

Additional file 8: Putative integrative plasmid PCR primer details.(XLS 24 KB)

Authors’ original submitted files for images

Rights and permissions

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

Reprints and Permissions

About this article

Cite this article

Richards, V.P., Zadoks, R.N., Pavinski Bitar, P.D. et al. Genome characterization and population genetic structure of the zoonotic pathogen, Streptococcus canis. BMC Microbiol 12, 293 (2012).

Download citation


  • Streptococcus canis
  • Comparative genomics
  • Pathogen
  • Zoonotic
  • Mastitis
  • Lateral gene transfer
  • Host adaptation
  • Bovine
  • Canine