Gardnerella vaginalis is described as a common vaginal bacterial species whose presence correlates strongly with bacterial vaginosis (BV). Here we report the genome sequencing and comparative analyses of three strains of G. vaginalis. Strains 317 (ATCC 14019) and 594 (ATCC 14018) were isolated from the vaginal tracts of women with symptomatic BV, while Strain 409-05 was isolated from a healthy, asymptomatic individual with a Nugent score of 9.
Substantial genomic rearrangement and heterogeneity were observed that appeared to have resulted from both mobile elements and substantial lateral gene transfer. These genomic differences translated to differences in metabolic potential. All strains are equipped with significant virulence potential, including genes encoding the previously described vaginolysin, pili for cytoadhesion, EPS biosynthetic genes for biofilm formation, and antimicrobial resistance systems, We also observed systems promoting multi-drug and lantibiotic extrusion. All G. vaginalis strains possess a large number of genes that may enhance their ability to compete with and exclude other vaginal colonists. These include up to six toxin-antitoxin systems and up to nine additional antitoxins lacking cognate toxins, several of which are clustered within each genome. All strains encode bacteriocidal toxins, including two lysozyme-like toxins produced uniquely by strain 409-05. Interestingly, the BV isolates encode numerous proteins not found in strain 409-05 that likely increase their pathogenic potential. These include enzymes enabling mucin degradation, a trait previously described to strongly correlate with BV, although commonly attributed to non-G. vaginalis species.
Collectively, our results indicate that all three strains are able to thrive in vaginal environments, and therein the BV isolates are capable of occupying a niche that is unique from 409-05. Each strain has significant virulence potential, although genomic and metabolic differences, such as the ability to degrade mucin, indicate that the detection of G. vaginalis in the vaginal tract provides only partial information on the physiological potential of the organism.
Citation: Yeoman CJ, Yildirim S, Thomas SM, Durkin AS, Torralba M, et al. (2010) Comparative Genomics of Gardnerella vaginalis Strains Reveals Substantial Differences in Metabolic and Virulence Potential. PLoS ONE 5(8): e12411. doi:10.1371/journal.pone.0012411
Editor: Wenjun Li, Duke University Medical Center, United States of America
Received: June 5, 2010; Accepted: July 22, 2010; Published: August 26, 2010
Copyright: © 2010 Yeoman 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: We would like to acknowledge and thank the National Institutes of Health for funding this project to The J. Craig Venter Institute (N01 AI 30071; U54-AI084844) and Baylor College of Medicine (U54-HG003273; U54-HG004973). The authors also wish to acknowledge the support of the Institute for Genomic Biology and the Research Board of the University of Illinois at Urbana-Champaign. 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.
Gardnerella vaginalis is a facultatively anaerobic bacterium of the Bifidobacteriaceae family. G. vaginalis is often described as a Gram-variable organism but has a Gram-positive wall type . Although G. vaginalis commonly occurs in the vaginal microbiota of healthy individuals –, it has been identified as one of the frequent and predominant colonists of the vaginal tract in women diagnosed with bacterial vaginosis (BV) , , . The presence of high numbers of G. vaginalis also correlates with both infertility and pre-term labor , . Moreover, BV may increase the risk of sexually transmitted diseases including HIV . Although the etiology of BV with respect to G. vaginalis remains poorly understood, G. vaginalis has been identified in 95% of clinically diagnosed cases. Recent research indicates that G. vaginalis may be more virulent than other organisms commonly associated with the disease . In addition to BV, G. vaginalis has also been linked to vertebral osteomyelitis , retinal vasculitis  and acute hip arthritis . Consequently, G. vaginalis is of significant interest to both clinicians and researchers.
Several strains of G. vaginalis have been targeted for genome sequencing as part of the National Institutes of Health (NIH)-funded Human Microbiome Project (HMP). For two of these strains, 317 (ATCC 14019) and 409-05, genome sequencing has been completed, while a draft sequence is available for a third, 594 (ATCC 14018). Strains 317 and 594 were isolated from vaginal secretions of women suffering from BV . Strain 409-05 was isolated from a healthy, asymptomatic individual with a Nugent score of 9 , which is indicative of a BV state . Further investigation of the microbiome from this individual revealed an enriched population of G. vaginalis (25% of the microbiome) and a reduction in the lactobacilli (20%); lactobacilli typically account for 70–90% of the microbiome in a healthy individual . Here we report the comparative genomic analyses of the two finished genomes, making comparisons, where possible, to the draft genome of strain 594. We define and contrast their potential virulence features, and provide much needed genomic insights into the metabolic potentials and implicated lifestyle of G. vaginalis. These analyses show potentially significant differences among closely-related strains along many important dimensions, raising critical questions about bacterial pathogenesis and evolution.
Results and Discussion
The genus Gardnerella comprises a single species, G. vaginalis. Phylogenetic reconstruction of the 16S rDNA shows G. vaginalis forms a distinct clade within the Bifidobacteraceae family most closely related to Bifidobacterium coryneforme and B. minimum (Fig. 1). The 16S rDNA of the two G. vaginalis strains isolated from BV patients appear to be very similar, differing by just a single nucleotide. On the other hand strain 409-05 appears to be deeper rooting and shares only 98% 16S rDNA identity, close to the maximum 16S rDNA-dissimilarity commonly tolerated for strains of a single species. Given the 16S rDNA difference between strain 409-05 and the other two strains, comparison of their genomes therefore provides a useful indicator of the potential genetic variability within G. vaginalis species.
Figure 1. Bifidobacteriaceae phylogeny.
Maximum likelihood 16S rDNA based phylogentic reconstruction of the Bifidobacteriaceae. Bootstrap values less than 100 are shown at each node. Larger taxonomic clusters have been collapsed for clarity.doi:10.1371/journal.pone.0012411.g001
General genome features
The general features of the three G. vaginalis strains are shown in Table 1. The genome of G. vaginalis strain 409-05 (1,617,545 bp) is smaller than that of strain 317 (1,667,350 bp), both being consistent with previous estimates by Lim et al. . Their genomes are smaller than other sequenced members of the Bifidobacteriaceae family, which range from 1.9–2.8 Mb. All three of the G. vaginalis strains appear to have a single chromosomal genomic architecture, with no evidence of episomal elements. The two closed genome sequences (from strains 409-05 and 317) have a standard GC skew, suggesting replication occurs through a typical bidirectional theta mechanism (Fig. 2). All three genomes have a low %GC content (41–42%) although there appeared to be some variation throughout each and in particular the genome of strain 317 (Fig. 2). Strain 317 has 63 more protein encoding genes than strain 409-05, which is solely accounted for by the larger genome. Their comparison provides early evidence of a large pangenome for G. vaginalis, with the strains sharing a core genome of just 846 orthologues and 939 strain-variable genes (949 and 681 genes, respectively, if just considering the two complete genome sequences; Fig. 3). Consistent with the 16S rDNA phylogenetic similarity, the two G. vaginalis strains isolated from BV patients share more orthologues (n = 1120; Fig. 3), and just eight of those orthologues had less than 97.5% amino acid sequence identity (Fig. S1 and Tables 2–3). In contrast almost half (46% and 47%, respectively) of the orthologues shared by strain 409-05 and either strain 317 and/or 594 have less than 80% amino acid sequence identity (Fig. S1).
Figure 2. Genome atlases.
Genome atlases of the two G. vaginalis strains with completed genome sequences: 409-05 (left) and 317 (right). From outside to inside the circles illustrate ORFs of the ‘+’ (1) and ‘−’ (2) strands, GC Skew (3) and % AT (4).doi:10.1371/journal.pone.0012411.g002
Figure 3. Orthologue distribution.
Venn diagram showing the number of orthologues shared between the three strains of G. vaginalis.doi:10.1371/journal.pone.0012411.g003
Table 1. General genome features.doi:10.1371/journal.pone.0012411.t001
Table 2. TA system components and other competitive exclusion genes.doi:10.1371/journal.pone.0012411.t002
Table 3. Genes potentially important to biofilm formation and epithelial adhesion.doi:10.1371/journal.pone.0012411.t003
All strains have two ribosomal RNA (rRNA) operons, consistent with a previous analysis of strains 317, 594 and several other tested G. vaginalis strains. Strains 409-05 and 317 share the same number of transfer RNAs (tRNAs; n = 45), while 34 are currently evident in the strain 594 genome. None of the tRNAs found in the three strains were unique in terms of amino acids transferred or recognized anti-codons (Table S1).
Whole genome comparisons of strains 409-05 and 317, the two Gardnerella strains with closed genomes show substantial genomic rearrangement, including a large ca. 500 kb inversion encompassing 413 genes, including the region encoding the chromosomal replication initiation protein, DnaA, the rRNA operons, as well as the replication origin, which is typically proximal to dnaA (Fig. 4). Evidence presented below suggests both mobile DNA elements and lateral gene acquisition through inducible competence may have played a role in the rearrangement and heterogeneity observed in these genomes.
Figure 4. Genome Synteny.
Overall synteny between G. vaginalis strain 317 (top) and strain 409-05 (bottom). Best Blastn alignments are indicated by a red (same strand) or blue (opposite strand) line and indicate 40–100% ID (illustrated by the light to dark nature of the lines, respectively) over a minimum of 125 contiguous bp. ORFs of the ‘+’ (above) and ‘−’ (below) strands are indicated surrounding the strain and contig information.doi:10.1371/journal.pone.0012411.g004
Competence and indications of lateral gene transfer
All three strains were found to encode the competence-promoting proteins ComEA, ComEC and CinA (Table S2). Orthologues of ComEA, ComEC and CinA have been identified in many Gram-positive (and Gram-negative) bacteria found to be naturally competent, including Bacillus subtilis , Streptococcus pneumoniae  Thermoanaerobacter spp.  and Thermus thermophilus . ComEA and ComEC, have been shown to be involved in the transport of single-stranded DNA across the membrane, where it is then bound by CinA-localized RecA (also present in all three genomes) and integrated into the genome . In characterized systems knockouts of any one of these genes results in the dramatic reduction or inhibition of transformability , .
To gain further insight into the potential contributions of lateral gene transfer (LGT) in shaping the G. vaginalis genomes, we initially determined the propensity of the genes encoded by each of the G. vaginalis strains to match the respective codon usage mode of that genome. As genes that differ from this ‘native’ codon usage are potential candidates for LGT . Analyses revealed that a significant number of genes (n = 832, 892 and 889 in strains 409-05, 317 and 594, respectively) did not match the modal codon usage of their respective genome (p<0.1). Ninety, 93 and 75 of these, respectively, were genes that typically have a high basal level of expression and were expected to differ from the mode due to their optimized codon frequencies. Constructing an axis from the mode of the overall genome to the mode of the highly expressed genes, as previously described , we found, in total, just 597, 598 and 570 genes, respectively, that based upon their codon adaptation were native to the G. vaginalis genomes (p>0.1). Indicating the remaining 53–56% (661, 723 and 715 genes, respectively), were potentially foreign to these genomes.
Work by Davis and Olsen , analyzed 923 genomes available in the SEED database  using their Native codon usage analysis software; we placed the three G. vaginalis strains within this data set (Jim Davis, personal communication) and found each strain to be within the 98th percentile for the fraction of genes not matching the native codon axis (Fig. S2) along with Neisseria spp, which are known to be naturally competent . These findings support the hypothesis that LGT has contributed to the genetic composition of each of the G. vaginalis genomes. Consistent with this hypothesis 290, 253 and 280 genes, respectively, did not have orthologues in the completed genomes of Bifidobacterium adolescentis ATCC15703, B. dentium BD1, B. longum NCC2705 or in the draft genomes of B. breve DSM 20213 and B. catenulatum DSM16992 suggesting these genes were either lost in these Bifidobacterial strains, had diverged significantly or had been acquired by G. vaginalis following their phylogenetic split in the Bifidobacteriaceae (refer to Fig. 1 and listed in Table S3). BlastP alignments of each of these genes against the NCBI non-redundant database revealed the best non-Gardnerella hits (e-value <0.1; BBH) to be mostly to human associated isolates particularly from the genera Lactobacillus (47 genes), Ruminococcus (12 genes), Rothia (9 genes), Coprococcus (8 genes), and Oribacterium (6 genes) and included common vaginal isolates Atopobium vaginae (57 genes), Lactobacillus iners (27 genes), L. jensenii (3 genes), Mobiluncas mulieris (12 genes) Peptostreptococcus anaerobius (4 genes), Actinomyces urogenitalis (3 genes), Anaerococcus lactolyticus (2 genes) and Streptococcus mitis (2 genes). Several genes also aligned to more distantly-related members of the Bifidobacteriaceae, including those from the genera Scardovia (10 genes) and Parascardovia (15 genes) supporting the former hypothesis that some of these genes had been lost in more closely-related Bifidobacteria.
The majority of these genes (67%) were unable to be assigned an annotated function but additionally included many of the genes identified as being potentially important to virulence (discussed below) including vaginolysin (BBH: Streptococcus intermedius), isochorismatase (BBH: Atopobium vaginae), the Rib-family protein (BBH: Lactobacillus iners), the GA module protein (BBH: Lactobacillus jensenii), several antibiotic resistance proteins including those potentially important to methicillin (BBH: Mobiluncus mulieris) and lantibiotic (BBH: Clostridiales genomosp.) resistances, as well as many genes potentially important to biofilm formation, adhesion to the epithelium and nine TA system toxin or antitoxin components. In addition to natural competence, other potential mechanisms for LGT exist and in G. vaginalis may include transposon or phage-mediated gene shuttling through mobile elements.
Accounting for the large 500-kb inversion observed between strains 409-05 and 317, the first loss of gene synteny between these strains corresponds to the insertion of an IS3509a-family transposon in strain 317. The IS3509a-family compound transposon comprises 21 genes (HMPREF0421_20010–HMPREF0421_20030), flanked by an annotated IS3509a-family transposase and a recombinase. Genes annotated to encode a transcriptional regulator (HMPREF0421_20023), a toxin-antitoxin (TA) system toxin (HMPREF0421_20022) and two permeases map within the transposon; the remaining genes were unable to be assigned a function. The permeases appear to be specific for the efflux of multiple drugs (HMPREF0421_20015) and the uptake of colicin (HMPREF0421_20011), respectively. Orthologues of nine of the twenty one IS3509a-family transposon genes, including the transposase and recombinase (open reading frames (ORFs) 433 and 1192, respectively), were identified in strain 594, however none of the twenty one genes were found in the genome of strain 409-05, suggesting the IS3509a-family transposons acquisition was a recent event on an evolutionary timescale. Strain 409-05 contains just a single transposase belonging to IS150 family (HMPREF0424_509; Table S4). Each strain possessed several bacteriophage-associated genes though most of those present in either strain 317 or 594 did not have orthologues in strain 409-05 and vice versa.
Toxin-Antitoxin system mediated competitive exclusion systems
Despite the paucity of transposases, a notable feature of each G. vaginalis genome is an abundance of TA systems. TA systems typically comprise two genes; one that encodes a stable toxin that would be harmful to the host cell if it was not for the expression of a more labile cognate antitoxin. They are self-promoting as the loss of either the antitoxin component or both causes the cell to lose viability, and are often found on mobile elements . Strain 409-05 encodes six TA system toxins, while strains 317 and 594 each encode four. The toxins represent an assortment of TA system families (Table 2). While these are likely remnants from prior infection of mobile elements, their retention may provide G. vaginalis with a competitive advantage over other vaginal colonists through the production of an assortment of toxins.
Recently, it has been shown TA system toxins can be delivered to co-inhabitants via a type VI secretion system and effectively retard their growth . For strain 409-05, all of the toxin genes are contiguous with those encoding annotated cognate antitoxin components, while three of the toxins in strains 317 and 594 show no evidence of a contiguous antitoxin component. Each strain encodes many more antitoxins than toxins. Strain 409-05 encodes 15 antitoxin components, while strains 317 and 594 each encode eight. The unpaired antitoxin genes may be retained to enable resistance to toxins produced by other bacterial strains that are co-inhabitants of the vaginal biome. Consistent with the hypothesis that these TA systems are being retained for competitive purposes, the components are strongly conserved between strains and six (five in the BV-isolates) of the TA system genes are clustered within the G. vaginalis genomes. Collectively, these findings suggest that G. vaginalis may competitively exclude a wide-range of vaginal co-inhabitants and is resistant to a larger number of bacterial toxins than either of the strains produce.
In addition to the TA systems, each strain possesses additional genes likely to promote competitive exclusion. All three strains encode two CHAP domain proteins and an ABC-transport system involved in the secretion of antimicrobials (Table 2). A recent study of the CHAP domain found it to have a strong lytic ability . Strain 409-05 uniquely encodes two glycoside hydrolase (GH) family 25 proteins, a family that exclusively comprises lysozyme, and two Abi-proteins. Recent analysis of Abi-proteins has shown they confer resistance to a broad-range of related bacteriocins . These findings are in agreement with a recent publication that found G. vaginalis strains produced substances that were antagonistic to bacterial isolates common to the vaginal biome .
Based on the closed genome sequences, the predicted metabolic capabilities of strains 409-05 and 317 were modeled and compared (Fig. 5). This analyses focuses on those with predicted enzymatic activity and ignores other proteins, including those involved in substrate transport, which are abundant in all strains (Table 1). Approximately one third of the genes identified in strains 409-05 (n = 450) and 317 (n = 487) (currently strain 594 has 465) were determined to encode enzymes. The majority of these enzymatic functions were shared by all three genomes (n = 429). In terms of lifestyle, all strains appear capable of catabolizing glycogen and glucose, the most abundant carbohydrate sources in the vagina , along with other less abundant carbohydrate sources such as fructose and starch. All strains were equipped with numerous (n = 13–14) proteases and peptidases that may be involved in proteolysis for nitrogen (excluding signal peptidases, pre-pilin peptidases, penicillin-binding protein transpeptidases and those involved in cellular homeostasis, e.g. FtsH). Each strain is predicted to be capable of using amino acids and ammonia as nitrogen sources, but no strain appeared capable of using urea (Table S5). Major metabolic pathways including glycolysis and the pentose-phosphate pathway are present, however in contrast to most Bifidobacteria, both G. vaginalis strains appear to have lost most of the TCA cycle, retaining only succinate dehydrogenase (EC 22.214.171.124) and malate dehydrogenase (EC 126.96.36.199; Table S7).
Figure 5. Metabolic potential.
The metabolic pathways of G. vaginalis were mapped based upon genome information using iPath. Common pathways are shown (green), along with those specific to strain 409-05 (blue), 317 (orange) and 594 (yellow). Those pathways common to the two BV-isolates are shown in red, while those common to strain 409-05 and 317 are shown in purple. No enzymes were exclusively found in 409-05 and 594.doi:10.1371/journal.pone.0012411.g005
A number of differences were observed between the strains (Fig. 5 and Table S6) in various metabolic pathways including carbohydrate, amino acid, nucleic acid and vitamin metabolisms. As genes present in strains 409-05, 317 or both, but not in 594 may be present in the missing genome sequence of strain 594, those differences will not be discussed in text. Of particular interest were the differences observed in either or both of the two strains isolated from patients with symptomatic BV, but not seen in strain 409-05. These included pathways enabling the catabolism of both galactose and arabinose (Table S7), and enzymes involved in terpenoid biosynthesis.
A particularly significant difference among the strains was the encoded ability of the two BV-isolates to degrade the N- and O-glycan portions of glycoproteins (Table 4). Glycoproteins are the primary component of mucins that are secreted to form the protective barriers of host mucosal epithelial layers. In contrast, strain 409-05, isolated from an asymptomatic individual, does not have this capacity. The presence of genes in the two BV-isolates involved in the catabolic degradation of N-acetylglucosamine (the major sugar in glycans) further emphasizes this difference and suggests that these strains may have a greater propensity to invade the mucosa and that this may be important to the causation of symptomatic BV. Previous measures of mucolytic enzymes in the vaginal cavity show strong correlations with BV , . The ability to degrade mucins has been proposed to be a necessary step in the colonization of vaginal epithelial cells and in the displacement of the normally dominant Lactobacilli . Further, there is evidence that the degradation of vaginal mucins impairs specific-immunoglobulin A immune responses . Given this, along with the importance of glycoproteins to the integrity, growth and function of vaginal epithelial cells, disruption of the mucin-layer may predispose hosts to further complications, such as those currently associated with BV, including an increased risk of infection with HIV and other sexually transmitted diseases . All three strains encode glycoproteases (EC 188.8.131.52) suggesting each can exploit glycoproteins as a nitrogen source, though the BV-isolates are able to exploit the carbohydrate component. None of the strains were annotated as encoding enzymes enabling the utilization of fucose or mannose.
Table 4. Potential virulence genes.doi:10.1371/journal.pone.0012411.t004
Several common features of virulence are evident in the genomes of one or more of the G. vaginalis strains including mucin degradation (described above), cytotoxicity, hemolysis, adhesion to the epithelium, biofilm production, iron scavenging, and antimicrobial resistance (Tables 3 and 4).
Effector protein translocation.
A few genes implicated in effector protein translocation were identified in all three strains (Table S8). These genes appear to be randomly distributed throughout each genome suggesting such a system may exist. However, as secretion systems are less well elucidated in Gram-positive organisms as compared to their Gram-negative counterparts, the presence or absence of a secretion system is not conclusive.
The ability of G. vaginalis to adhere to vaginal epithelial cells has been demonstrated . Epithelial adhesion is typically mediated by pili . Genes encoding both type I and II pili are present in each strain (Table 3). The presence of a type IV prepilin peptidase suggests that they may also encode a type IV Flp pilin/pseudopilin. Although there is no Flp1 pilin gene apparent in the G. vaginalis genomes, strain 409-05 uniquely encodes TadE. The tadE gene typically occurs as part of a larger type IV pilin-related gene cluster, and the protein resembles the domain architecture of some Flp1 pilins. Like the Flp1 pilins, TadE is post-translationally processed by prepilin peptidases, but are considered pseudopilins . In Aggregatibacter actinomycetemcomitans (formerly designated Actinobacillus actinomycetemcomitans), TadE has been shown to be important to epithelial adhesion . The same study found preprocessed TadE to be important for biofilm formation.
G. vaginalis can form a biofilm . Our genomic analysis suggests this is, at-least in part, due to predominantly type II, but also types I and IV glycosyltransferases (GTs). Strain 409-05 uniquely encodes eight GTs, while the two BV-isolates (317 and 594) encode nine GTs that are likely to be important for the biosynthesis of exopolysaccharide (EPS) for biofilm formation (Table 3). Five of the GTs appear to be orthologous among all strains, while three 409-05 GTs showed little or no sequence similarity to genes of the other two strains. All GTs present in strain 317 were identified in the available genome sequence of strain 594 and had 100% amino acid identity. Biofilm formation also typically involves additional factors, in addition to those facilitating EPS formation. In Gram-positive bacteria this commonly includes proteins carrying an LPxTG motif that are attached to the cell surface by a sortase enzyme. Each of strain 409-05, 317 and 594 are predicted to encode 6, 4 and 4 sortase enzymes, respectively, and 15, 13 and 12 proteins, respectively, carrying an LPxTG motif (Table S9). These include a Rib protein (HMPREF0424_1196, HMPREF0421_21226) and a protein with two G-related albumin-binding (GA) modules (HMPREF0424_0399, HMPREF0421_20447 and ORF 683), both which have further virulence potential (as discussed below), along with two of the proteins predicted to be involved in the biogenesis of fimbria/pili (HMPREF0424_1026 and HMPREF_0424_1164), each of which may additionally contribute to biofilm formation.
The hemolytic activity of G. vaginalis was first described in 1955  and has since been attributed to a single protein that is excreted from G. vaginalis cells during exponential growth . The lytic activity of the toxin is specific for human erythrocytes, neutrophils and endothelial cells , . The 59-kDa hemolysin was first isolated and characterized by Cauci et al. . The thiol-activated cytolysin of G. vaginalis strain 594 was subsequently cloned, sequenced (NCBI accession ACD39461) and characterized by Gelber et al.  and found it to be a cholesterol-dependent cytolysin (CDC) family toxin, which the authors designated vaginolysin. Vaginolysin (HMPREF0424_0103, HMPREF0421_20066 and ORF 992 in strains 409-05, 317 and 594, respectively) is encoded by all three G. vaginalis strains, is highly conserved between strains 409-05 and 317 (94% aa ID) and is identical in strains 594 and 317. The predicted molecular masses (56.7 kDa for 409-05 and 60 kDa for 317 and 594) along with predicted extracellular localizations of vaginolysin in each strain is consistent with previous observations. Vaginolysin is also strongly conserved in G. vaginalis strain T11 (95% amino acid identity; NCBI accession number ACD63042 ), from which the encoding genes have been sequenced. Another frequent vaginal inhabitant, Lactobacillus iners, also possesses a vaginolysin homolog, annotated as perfringolysin O in the L. iners strain DSM 13335 (NCBI accession number ZP_05744302, 94% amino acid identity, e-value 2×10−148). In addition to vaginolysin, we found evidence for the existence of a second hemolytic/cytolytic toxin in each strain (HMPREF00424_0679, HMPREF0421_20593 and 655, for strains 409-05, 317 and 594 respectively; Table 4). The collective evidence used to annotate this protein suggested it was best annotated as an rRNA methyltransferase (see Text S1), but the amino acid sequence aligns strongly (e-values = 2×10−36–4×10−42) to the TIGRFAM TIGR00478, for which two characterized members were found to be hemolytic (see Text S1).
In addition to hemolytic activity, each of the G. vaginalis strains appears capable of acquiring iron through at least two high-affinity iron transporters, consistent with previous reports . These include an FTR1-family high-affinity iron transporter and a Tpd-family pathogen-specific lactoferrin-binding protein thought to function as a second high-affinity iron transporter (Table 4). In a previous study by Jarosik et al. , strains 594 and 317 along with seven other G. vaginalis strains were found to produce siderophores. In trying to determine the type of siderophore produced and enzymatic machinery responsible, we identified isochorismatase (E.C 184.108.40.206; Table 4), an enzyme involved in the production of the siderophores vibriobactin, enterochelin and bacillibactin (KEGG pathway KO1053). Other enzymes important to siderophore biosynthesis proved more elusive, though two proteins annotated as 3-oxoacyl-[acyl-carrier-protein] reductases in both the G. vaginalis 594 and 317 genomes (HMPREF0421_21015 and HMPREF0421_21034 in strain 317 and ORFs 1261 and 880 in strain 594) resemble the 2,3-dihydro-2,3-dihydroxybenzoate dehydrogenase (EC 220.127.116.11) of Stenotrophomonas maltophilia (e-values 2×10−10–6×10−17; NC_010943.1), an enzyme involved in the same siderophore biosynthetic pathway. The genes HMPREF0421_21015 and 1261 also matched strongly to the Hidden Markov Model PRK08220, that describes 2,3-dihydro-2,3-dihydroxybenzoate dehydrogenases (e-value = 2×10−47). No orthologue of this enzyme, or other potential candidate for a 2,3-dihydro-2,3-dihydroxybenzoate dehydrogenase was identified for strain 409-05.
Strain 409-05 also encodes an oxygen-independent coproporphyrinogen III oxidase (HemN), while strain 317 and 594 encode two. HemN is involved in the breakdown of porphyrins, such as in hemoglobin or myoglobin, to release iron. Each strain encodes a Ferric uptake regulator (FUR)-family global iron-binding transcriptional repressor. As Fur-family repressors often regulate genes involved in iron utilization , we attempted to glean more information by identifying the DNA elements that bind Fur-family regulators, namely Fur boxes (see methods). Several FUR-box candidates were identified (Text S2 and Table S10), though most occurred in agenic regions, although one Fur-box was identified downstream of the isochorismatase in both strains 409-05 and 594, but not in strain 317.
Genes encoding antimicrobial-specific resistance proteins that were identified in each strain included those conferring resistance to bleomycin and an unknown lantibiotic. Strains 317 and 594 also encoded genes promoting resistance to methicillin and aminoglycosides (Table 4). In Staphylococci, FemAB-family proteins (orthologous to HMPREF0421_20446 and ORF 954) are involved in the formation of pentaglycine interpeptide bridges, but have also been found to be essential to methicillin resistance , . Although methicillin was not introduced until after strains 317 and 594 were isolated , the precursors of a resistance mechanism were available. In contrast, aminoglycosides like streptomycin and neomycin were used to treat vaginal infections at the time strains 317 and 594 were isolated . These strains each encode an aminoglycoside phosphotransferase (HMPREF0421_20507 and ORF 1079), related to that of the more modern nosocomial pathogen Stenotrophomonas maltophilia (e-value 2×10−27) . The aminoglycoside phosphotransferase of S. maltophilia, and a number of other organisms, has been shown to significantly increase resistance to aminoglycosides and work by inactivating the antibiotics through phosphorylation . Each strain encoded three multi-drug extrusion transporters, and strains 317 and 594 encode a heavy metal exporter that appears to be specific for cadmium (HMPREF0421_21068 and ORF 602, respectively). Collectively, these efflux transporters potentiate a much broader antimicrobial tolerance. It is also likely, given the heterogeneity observed among the G. vaginalis strains, that as a species, a much broader antimicrobial resistance complement exists. Like many Gram-positive pathogens, multiple antimicrobial resistances are fast becoming a major problem for the healthcare sector , . The potential competence-promoting nature of G. vaginalis strains (Table S2 and discussed above) also suggests they may have the capacity to rapidly adapt to new environmental challenges.
Immune response evasion and mitigation.
Immune responses specific to G. vaginalis may be impaired by the ability of the organism to evade detection by altering its surface antigens. Both G. vaginalis strains 409-05 and 317, but not 594 encode a Rib-protein. Rib proteins belong to the α-like protein (Alp)-family of highly repetitive surface antigens found in Gram-positive pathogens . These proteins elicit protective immunity through their inter-strain size variability. Size predictions based on the primary amino acid sequences indicate the Rib protein encoded by strain 409-05 is more than 2.5 times larger (predicted to be 338 kDa) than that encoded by strain 317 (predicted to be 128 kDa). Each strain may also be capable of further protecting themselves from macrophage peroxynitrite attack through encoded antioxidant peroxiredoxins (HMPREF0424_0003, HMPREF0421_20840 and ORF 567, respectively), as has been shown in other pathogenic bacteria .
Other potential virulence factors.
Several other genes were identified that have been linked to virulence or pathogenic potential (Table 4). This includes a gene resembling a major virulence factor of Listeria monocytogenes. Each strain encodes an invasion-associated hydrolase that has homology with the L. monocytogenes p60 (e-value = 6×10−17), an enzyme with murein hydrolase activity that has been linked to fibroblast invasion, immune modulation , and complement-independent hepatocyte and macrophage invasion . Other genes of interest include those that encode a novel large (221 kDa) extracellular protein with two GA modules (HMPREF0424_0399, HMPREF0421_20447 and ORF 683)  and, in both strains 409-05 and 317, a protein that aligns with the endothelin-converting enzyme (ECE; HMPREF0424_1075 and HMPREF0421_20934; e-value = 7×10−77) from endothelial cells of the Norwegian rat (Rattus norvegicus) . In eukaryotic systems ECE activates endothelin-1, a protein responsible for constricting blood vessels and raising blood pressure . The role of ECE within G. vaginalis is unclear, but it may help to increase the availability of heme containing red blood cells. Strain 409-05 encodes a LicD-family protein (HMPREF0424_1186). In Streptococcus pneumoniae, the LicD protein has been shown to have a role in virulence, specifically in cytoadhesion and mutational inactivation of licD has been shown to decrease transformation competence . In the same organism, LicD has also been linked to phosphocholine metabolism . Along with a Raf-like phospholipid binding protein (HMPREF0424_1263, HMPREF0421_20473 and ORF114), which is present in all genomes, LicD may further aid the ability of G. vaginalis to adhere to epithelial cells.
Gardnerella vaginalis is one of several vaginal organisms whose presence strongly correlates with BV. Biochemical and physiological analyses demonstrate important virulence features such as hemolytic activity, epithelial adhesion and biofilm formation . Our genomic analyses support these findings and provide detail of the genetic elements involved. We also identify other features of the G. vaginalis pangenome, such as the ability to degrade mucin, evade immune detection or resist a broad spectrum of antimicrobials, which may be important to the role of G. vaginalis in BV. Overall the two BV-isolates (strains 317 and 594) had a highly similar 16S rDNA sequence and genome content. In contrast, substantial differences were observed between the BV strains and 409-05. The BV isolates uniquely encoded proteins enabling the degradation of mucin and had a broader group of antibiotic resistance genes including an aminoglycoside phosphotransferase and the precursors of methicillin resistance. These genes were absent from strain 409-05, which was isolated from an asymptomatic subject with a perturbed vaginal microbiome. Compared to the BV isolates, strain 409-05 encoded more proteins predicted to be involved in competitive exclusion. It will be interesting moving forward to further elucidate the G. vaginalis pangenome and determine the commonality of features like mucin degradation, and to determine if such features are enriched in those strains isolated from BV patients. It will also be interesting to determine the capacity of strain 409-05, and others like it, to cause symptomatic BV, or if these strains instead play a role in maintaining a healthy vaginal microbiome through the competitive exclusion of BV-causing isolates. We hope these findings, along with the newly available genome sequences, may enhance the efficacy of research into G. vaginalis physiology and provide insights into the contribution of the organism to the microbiome of the host, as well as lead to a more complete understanding of its role in health and disease, in particular its role in BV.
The isolation of all three Gardnerella vaginalis strains has previously been reported, along with appropriate human subject ethics considerations , . The work reported here does not describe the isolation of these organisms from any human subject, nor does it directly involve human participants.
G. vaginalis strain 409-05 was isolated from the vaginal swab of a healthy female with a high Nugent score of 9 , while strains 317 and 594 were isolated from vaginal secretions of BV patients . All strains are available from the ATCC-BEI Global Bioresource center.
SSU rDNA sequences from related species of the Bifidobacteriaceae family were obtained from Greengenes, where available, or from Genbank. Sequences were trimmed to remove overhangs and aligned using ClustalW  without gap penalties to preserve structural alignments. As Rubrobacter xylanophilus is believed to be one of the deepest branching species of the Actinobacteria phyla , it was selected for use as the outgroup. Maximum likelihood trees were constructed with 500 bootstraps using RaxML-III  and the resulting trees were drawn and analysed using phyloXML .
The closed genomes of G. vaginalis strains 409-05 and 317 were sequenced as part of the NIH-sponsored Human Microbiome Project (HMP) using 454 pyrosequencing technology and finished by Sanger-sequencing of a 4 Kb library or PCR-based primer-walking, respectively. Strain 409-05 was sequenced to 34× coverage at the J. Craig Venter Institute, while strain 317 was sequenced to 70× coverage at the Baylor College of Medicine. Hybrid assemblies of both Sangar and pyrosequencing data sets were performed using the Celera v5.1  or Newbler v2.3 (454 Life Sciences, CT, USA) assemblers, respectively. The assemblies were manually validated using Consed v19.89 in conjunction with supporting sequence and scaffold information. The draft sequence of strain 594, available in 145 contigs, was produced by the Stanford Genome Technology Center and has 5× coverage. Each sequence has been deposited in GenBank  under the accession numbers CP001849, ACGF00000000 and ADNB00000000, respectively.
All genes discussed were manually reannotated using information gleaned from the following resources: BlastP  searches of both the NCBI non-redundant and SwissProt databases; modular analysis using HMMER 3.0 , CDD  and InterPro scan ; protein localization predictions using Gpos-PLoc ; and Protein molecular weight predictions, made using the ExPASy proteomics server (http://ca.expasy.org/tools). Transfer RNAs were determined using tRNAscan-SE . Orthologues shared among the G. vaginalis strains were determined using BlastP searches and defined as the best match with >40% identity over >70% of the sequence of the largest protein, with exception of the size-variable Rib protein. A less conservative ID threshold (>30% identity) was used to determine orthologues to bifidobacterial species. Enzyme commission (EC) numbers were assigned using the Kyoto Encyclopedia of Genes and Genomes (KEGG)  and metabolic pathways were mapped and analyzed using iPath  (http://pathways.embl.de/). All annotations and analyses were undertaken with careful consideration of the surrounding literature and are available in SEED upon request to the authors. Native codon usage analyses were undertaken as described , briefly, codon usage modes were determined as previously described . An axis beginning at the modal codon usage of the genome and extending through the point representing the modal codon usage of genes within the genome that are orthologous (e-value ≥1×10−5, >70% coverage of the longest gene and >20% sequence ID) to genes that have been shown to be highly expressed in both Escherichia coli K-12 and Methanococcus maripaludis S2 was then constructed in a 59-dimensional plot where each dimension represents each of the synonymous codons, excluding termination codons. Genes found to match any point along this axis, as determined by the chi-square test (p>0.1; as described in 9) are defined as native to the genome, those not matching the mode are defined as foreign. Genome atlases were created using the GeneWiz browser . The genome synteny plot was created using ACT . For both genome atlas and genome synteny analyses the genome sequences were reordered to begin at the gene encoding DnaA.
Toxin characteristics. Further discussion surrounding the analyses applied to the toxins of G. vaginalis.
(0.07 MB PDF)
Identification of Fur-regulated genes. More in-depth discussion surrounding the methodology and analysis of FUR-regulatory elements and their proximal genes.
(0.07 MB PDF)
Orthologue protein sequence identity. Number of determined orthologues sharing each degree of amino acid sequence identity rounded to the nearest 5%.
(0.07 MB PDF)
Proportion of native genes within Gardnerella vaginalis relative to other bacteria. The number of genes matching the modal codon usage relative to the number of genes within the genome of Gardnerella vaginalis (red) is ploted along with 923 other genomes (blue).
(5.39 MB TIF)
Transfer RNA distribution. The number of tRNAs identified in each of the G. vaginalis genomes along with the anticodon recognized and amino acid transferred.
(0.10 MB PDF)
Genes potentially involved in competence. Genes identified within the G. vaginalisgenomes whose annotated roles have been shown to promote competence in other bacteria.
(0.06 MB PDF)
G. vaginalis genes lacking orthologues in Bifidobacteria. These genes had no apparent orthologue in the completed genomes of Bifidobacterium adolescentis ATCC15703, B. dentium BD1, B. longum NCC2705 or in the draft genomes of B. breve DSM 20213 and B. catenulatum DSM16992. The best non-Gardnerella blast matches, locus tags/ORF number and annotated function are also shown.
(0.09 MB XLS)
Genes characteristic of mobile elements. Genes identified within each G. vaginalis genome that are likely to have been components of mobile elements.
(0.06 MB PDF)
Nitrogen metabolism genes. Genes identified within the G. vaginalis genomes that appear to encode functions important for the utilization of various nitrogen sources.
(0.08 MB PDF)
Strain variable enzymes. Genes identified from one or more of the G. vaginalis genomes that are predicted to encode enzymes whose functions do not appear to be encoded for in the other strain(s).
(0.09 MB PDF)
Carbohydrate metabolism genes. Genes present in one or more of the G. vaginalis genomes that appear to encode functions important to the utilization of various carbohydrates.
(0.09 MB PDF)
Genes potentially important to effector protein translocation. Genes identified within each G. vaginalis strain that are potentially important to effector protein translocation.
(0.06 MB PDF)
Sortase enzymes and proteins cantaining LPxTG motifs. All sortase encoding enzymes and proteins carrying LPxTG motifs within the genomes of the G. vaginalis strains. Note LPxTG motif-containing proteins are typically attached to the cell surface by sortase enzymes.
(0.08 MB PDF)
Potential FUR-regulatory sequences. All identified FUR-box sequences identified within each G. vaginalis strain along with proximal downstream genes, which may be regulated by the FUR-family transcriptional regulator.
(0.08 MB PDF)
The authors wish to thank Jim Davis, Nick Chia and Mengfei Ho for their advice and technical support.
Conceived and designed the experiments: CJY RAG BAW SKH KEN BAW. Performed the experiments: CJY SY SMT ASD MT GS CB YD SDR DM XQ RAG BAW. Analyzed the data: CJY ASD MT GS CB YD SDR DM XQ BAW. Contributed reagents/materials/analysis tools: CJY SY SMT SRL RS BAW SKH KEN. Wrote the paper: CJY SY SMT ASD SRL RS BAW SKH KEN BAW.
- 1. Harper JJ, Davis GHG (1982) Cell wall analysis of Gardnerella vaginalis (Haemophilus vaginalis). Int J System Bacteriol 32: 48–50.
- 2. Fredricks DN, Fiedler TL, Marrazzo JM (2005) Molecular identification of bacteria associated with bacterial vaginosis. N Engl J Med 353: 1899–1911.
- 3. Hyman RW, Fukushima M, Diamond L, Kumm J, Giudice LC, et al. (2005) Microbes on the human vaginal epithelium. Proc Nat Acad Sci USA 102: 7952–7957.
- 4. Kim TK, Thomas SM, Ho M, Sharma S Reich, Frank CI, et al. (2009) Heterogeneity of vaginal microbial communities within individuals. J Clin Microbiol 47: 1181–1189.
- 5. Menard JP, Mazouni C, Salem-Cherif I, Fenollar F, Raoult D, et al. (2010) High vaginal concentrations of Atopobium vaginae and Gardnerella vaginalis in women undergoing preterm labor. Obstet Gynecol 115: 134–140.
- 6. Patterson JL, Stull-Lane A, Girerd PH, Jefferson KK (2010) Analysis of adherence biofilm formation and cytotoxicity suggest a greater virulence potential of Gardnerella vaginalis relative to other bacterial vaginosis-associated anaerobes. Microbiology 156: 392–9.
- 7. Mania-Pramanik J, Kerkar SC, Salvi VS (2009) Bacterial vaginosis: a cause of infertility? Int J STD & AIDs 20: 778–781.
- 8. Schmid G, Markowitz L, Joesoef R, Koumans E (2000) Bacterial vaginosis and HIV infection. Sex Transm Infect 76: 3–4.
- 9. Graham S, Howes C, Dusmuir R, Sandoe J (2009) Vertebral osteomyelitis and discitis due to Gardnerella vaginalis. J Med Microbiol 58: 1382–1384.
- 10. Neri P, Salvolini S, Giovannini A, Meriotti C (2009) Retinal vasculitis associated with asymptomatic Gardnerella vaginalis infection: a new clinical entity. Ocul Immunol Infamm 17: 36–40.
- 11. Sivadon-Tardy V, Roux AL, Piriou P, Herrmann JL, Rottman M (2009) Gardnerella vaginalis acute hip arthritis in a renal transplant recipient. J Clin Microbiol 47: 264–265.
- 12. Gardner HL, Dukes CD (1955) Haemophilus vaginalis vaginitis: A newly defined specific infection previously classified ‘nonspecific’ vaginitis. Am J Ostet Gynecol 69: 962–976.
- 13. Nugent RP, Krohn MA, Hiller SL (1991) Reliability of diagnosing bacterial vaginosis is improved by a standardized method of Gram stain interpretation. J Clin Microbiol 29: 297–301.
- 14. Lim D, Trivedi H, Nath K (1994) Determination of Gardnerella vaginalis genome size by Pulsed-field gel electrophoresis. DNA Res 1: 115–122.
- 15. Kramer N, Hahn J, Dubnau D (2007) Multiple interactions among the competence proteins of Bacillus subtilis. Mol Microbiol 65: 454–464.
- 16. Peterson S, Cline RT, Tettelin H, Sharov V, Morrison DA (2000) Gene expression analysis of the Streptococcus pneumoniae competence regulons by use of DNA microarrays. J Bacteriol 182: 6192–6202.
- 17. Shaw AJ, Hogsett DA, Lynd LRNatural competence in Thermoanaerobacter and Thermoanaerobacter species. Appl Environ Microbiol. In press.
- 18. Friedrich A, Hartsch T, Averhoff B (2001) Natural transformation in mesophilic and thermophilic bacteria: Identification and characterization of novel, closely related competence genes in Acinetobacter sp. Strain BD413 and Thermus thermophilus HB27. Appl Environ Microbiol 67: 3140–3148.
- 19. Chen I, Dubnau D (2004) DNA uptake during bacterial transformation. Nat Rev Microbiol 2: 241–249.
- 20. Davis JJ, Olsen GJCharacterizing the native codon usage of a genome: an axis projection approach. Mol Biol Evol. In press.
- 21. Overbeek R, Begley T, Butler RM, Choudhuri JV, Chuang HY, et al. (2005) The subsystems approach to genome annotation and its use in the project to annotate 1000 genomes. Nucleic Acids Res 33: 5691–5702.
- 22. Snyder LAS, McGowan S, Rogers M, Duro E, O'Farrell EO, et al. (2007) The repertoire of minimal mobile elements in the Neisseria species and evidence that these are involved in horizontal gene transfer in other bacteria. Mol Biol Evol 24: 2802–2815.
- 23. Van Melderen L, De Bast MS (2009) Bacterial Toxin-Antitoxin systems: More than selfish entities? Plos Genet 5: e1000437.
- 24. Hood RD, Singh P, Hsu F, Güvener T, Carl MA, et al. (2010) A type VI secretion system of Pseudomonas aeruginosa targets a toxin to bacteria Cell. Host Microbe 21: 25–37.
- 25. Horgan M, O'Flynn G, Garry J, Cooney J, Coffey A, et al. (2009) Phage lysine LysK can be truncated to its CHAP domain and retain lytic activity against live antibiotic-resistant Staphylococci. Appl Environ Microbiol 75: 872–874.
- 26. Kjos M, Snipen L, Salehian Z, Nes IF, Diep DB (2010) The Abi proteins and their involvement in bacteriocin self-immunity. J Bacteriol. In-press.
- 27. Teixeira GS, Soares-Brandão KLK, Branco KMGR, Sampaio JLM, Nardi RMD, et al. Antagonism and synergism in Gardnerella vaginalis isolated from women with bacterial vaginosis. J Med Microbiol. In press.
- 28. Rajan N, Cao Q, Anderson BE, Pruden DL, Sensibar J, et al. (1999) Roles of glycoproteins and oligosaccharides found in human vaginal fluid in bacterial adherence. Infec Immun 67: 5027–5032.
- 29. Cauci S, Driussi S, Monte R, Lanzafame P, Pitzus E, et al. (1998) Immunoglobin A response against Gardnerella vaginalis hemolysin and sialidase activity in bacterial vaginosis. Am J Obstet Gynecol 178: 511–515.
- 30. Wiggins R, Crowley T, Horner PJ, Soothill PW, Millar MR, et al. (2000) Use of 5-bromo-4-chloro-3-indolyl-α-D-N-acetylneuraminic acid in a novel spot test to identify sialidase activity in vaginal swabs from women with bacterial vaginosis. J Clin Microbiol 38: 3096–3097.
- 31. Roberton AM, Wiggins R, Horner PJ, Greenwood R, Crowley T, et al. (2005) A novel bacterial mucinase glycosulfatase is associated with bacterial vaginosis. J Clin Microbiol 43: 5504–5508.
- 32. Punsalang AP, Sawyer WD (1973) Role of pili in the virulence of Neisseria gonorrhoeae. Infect Immun 8: 255–263.
- 33. Tomich M, Fine DH, Figurski DH (2006) The TadV protein of Actinobacillus actinomycetemcomitans is a novel aspartic acid prepilin peptidase required for maturation of the Flp1 pilin and TadE and TadF pseudopilins. J Bacteriol 188: 6899–6914.
- 34. Rottini G, Dobrina A, Forgiarini O, Nardon E, Amirante GA, et al. (1990) Identification and partial characterization of a cytolytic toxin produced by Gardnerella vaginalis. Infect Immun 58: 3751–3758.
- 35. Gelber SE, Aguilar JL, Lewis KL, Ratner AJ (2008) Functional and phylogenetic characterization of vaginolysin the human-specific cytolysin from Gardnerella vaginalis. J Bacteriol 190: 3896–3903.
- 36. Zvirbliene A, Pleckaityte M, Lasicklene R, Kucinskaite-Kodze I, Zvirblis G (2010) Production and characterization of monoclonal antibodies against vaginolysin: Mapping of a region critical for its cytotoxic activity. Toxicon 56: 19–28.
- 37. Jarosik GP, Land CB, Duhon P, Chandler R, Mercer T (1998) Acquisition of Iron by Gardnerella vaginalis. Infect Immun 66: 5041–5047.
- 38. Escolar L, Perez-Martin J, de Lorenzo V (1999) Opening the iron box: transcriptional metalloregulation by the Fur protein. J Bacteriol 181: 6223–6229.
- 39. Berger-Bächi B, Barberis-Maino L, Strässle A, Kayser FH (1989) FemA, a host-mediated factor essential for methicillin resistance in Staphylococcus aureus: Molecular cloning and characterization. Mol Gen Genet 219: 263–269.
- 40. Strandén AM, Ehlert K, Labischinski H, Berger-Bächi B (1997) Cell wall monoglycine cross-bridges and methicilin hypersusceptibility in a femAB null mutant of methicillin-resistant Staphylococcus aureus. J Bacteriol 179: 9–16.
- 41. Foster TJ (1983) Plasmid-determined resistance to antimicrobial drugs and toxic metal ions in bacteria. Microbiol Rev 47: 361–409.
- 42. Weinberg W (1955) Topical neomycin in cervical and vaginal infections with special reference to Bacillus proteus infections. Sth Afr Med J 29: 14–16.
- 43. Okazaki A, Avison MB (2007) Aph(3′)-IIc, an aminoglycoside resistance determinant from Stenotrophomonas maltophilia. Antimicrob Agents Chemother 51: 359–360.
- 44. Roe VA (2008) Antibiotic resistance: a guide for effective prescribing in woman's health. J Midwifery Womens Health 53: 216–226.
- 45. Wilcox MH (2009) Future gazing in the management of multiply drug-resistant Gram-positive infection. J Infect 59: S75–80.
- 46. Lindahl G, Stalhammer-Carlemalm M, Areschoug T (2005) Surface proteins of Streptococcus agalactiae and related proteins in other bacterial pathogens. Clin Microbiol Rev 18: 102–127.
- 47. Piacenza L, Peluffo G, Alvarez MN, Kelly JM, Wilkinson SR, et al. (2008) Peroxiredoxins play a major role in protecting Trypanosoma cruzi against macrophage- and endogenously-derived peroxinitrite. Biochem J 1: 359–368.
- 48. Sashinami H, Hu D, Li S, Mitsui T, Hakamada K, et al. (2010) Virulence factor p60 of Listeria monocytogenes modulates innate immunity by inducing tumor necrosis factor α. FEMS Immun Med Microbiol. In press.
- 49. Hess J, Gentschev I, Szalay G, Ladel C, Bubert A, et al. (1995) Listeria monocytogenes p60 supports host cell invasion by and in vivo survival of attenuated Salmonella typhimurium. Infec Immun 63: 2047–2053.
- 50. Johansson MU, de Chåteau M, Wikström M, Forsén S, Drakenberg T, et al. (1997) Solution structure of the albumin-binding GA module: a versatile bacterial protein domain. J Mol Biol 266: 859–865.
- 51. Shimada K, Takahashi M, Tanzawa K (1994) Cloning and functional expression of endothelin-converting enzyme from the rat endothelial cells. J Biol Chem 15: 18275–18278.
- 52. Schmidt M, Kröger B, Jacob E, Seulberger H, Subkowski T, et al. (1994) Molecular characterization of human and bovine endothelin converting enzyme (ECE-1). FEBS Letters 356: 238–243.
- 53. Zhang JR, Idanpaan-Heikkila I, Fischer W, Tuomanen EL (1999) Pneumococcal licD2 gene is involved in phosphocholine metabolism. Mol Microbiol 31: 1477–1488.
- 54. Larkin MA, Blackshields G, Brown NP, Chenna R, McGettigan PA, et al. (2007) Clustal W and Clustal X version 2.0. Bioinformatics 23: 2947–2948.
- 55. Gao B, Gupta RS (2005) Conserved indels in protein sequences that are characteristic of the phylum Actinobacteria. Int J Sys Evol Microbiol 55: 2401–2412.
- 56. Stamatakis A, Ludwig T, Meier H (2005) RaxML-III: a fast program for maximum likelihood-based inference of large phylogenetic trees. Bioinformatics 21: 456–463.
- 57. Han MV, Zmasek CM (2009) phyloXML: XML for evolutionary biology and comparative genomics. BMC Bioinformatics 10: 356.
- 58. Miller JR, Delcher AL, Koren S, Venter E, Walenz BP, et al. (2008) Aggressive assembly of pyrosequencing reads with mates. Bioinformatics 24: 2818–2824.
- 59. Benson DA, Boguski MS, Lipman DJ, Ostell J (1997) GenBank. Nucleic Acids Res 25: 1–6.
- 60. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ (1990) Basic local alignment search tool. J Mol Biol 215: 403–410.
- 61. Eddy SR (1998) Profile hidden Markov models. Bioinformatics 14: 755–763.
- 62. Marchler-Bauer A, Anderson JB, Chitsaz F, Derbyshire ML, DeWeese-Scott C, et al. (2009) CDD: specific functional annotation with the Conserved Domain Database. Nuleic Acids Res 37: D205–210.
- 63. Hunter S, Apweiler R, Attwood TK, Bairoch A, Bateman A, et al. (2009) InterPro: the integrative protein signature database. Nucleic Acids Res 37: D224–228.
- 64. Shen H, Chou K (2007) Gpos-PLoc: an ensemble classifier for predicting subcellular localization of Gram-positive bacterial proteins. Prot Engineer Des Select 20: 39–46.
- 65. Lowe TM, Eddy SR (1997) tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence. Nucleic Acids Res 25: 955–964.
- 66. Aoki-Kinoshita KF, Kanehisa M (2007) Gene annotation and pathway mapping in KEGG. Methods Mol Biol 396: 71–91.
- 67. Letunic I, Yamada T, Kanehisa M, Bork P (2008) iPath: interactive exploration of biochemical pathways and networks. Trends Biochem Sci 33: 101–103.
- 68. Davis JJ, Olsen GJ (2010) Modal codon usage: assessing the typical codon usage of a genome. Mol Biol Evol 27: 800–810.
- 69. Hallin PF, Staerfeldt H, Rotenberg E, Binnewies TT, Benham CJ, et al. (2009) GeneWiz browser: An interactive tool for visualizing sequenced chromosomes. Stand Genomic Sci 1: 2.
- 70. Carver TJ, Rutherford KM, Berriman M, Rajandream MA, Barrell BG, et al. (2005) ACT: the Artemis comparison tool. Bioinformatics 21: 3422–3423.