Literature DB >> 23342132

Two-component system response regulators involved in virulence of Streptococcus pneumoniae TIGR4 in infective endocarditis.

My Trihn1, Xiuchun Ge, Alleson Dobson, Todd Kitten, Cindy L Munro, Ping Xu.   

Abstract

Streptococci resident in the oral cavity have been linked to infective endocarditis (IE). While other viridans streptococci are commonly studied in relation to IE, less research has been focused on Streptococcus pneumoniae. We established for the first time an animal model of S. pneumoniae IE, and examined the virulence of the TIGR4 strain in this model. We hypothesized that two-component systems (TCS) may mediate S. pneumoniae TIGR4 strain virulence in IE and examined TCS response regulator (RR) mutants of TIGR4 in vivo with the IE model. Thirteen of the 14 RR protein genes were mutagenized, excluding only the essential gene SP_1227. The requirement of the 13 RRs for S. pneumoniae competitiveness in the IE model was assessed in vivo through use of quantitative real-time PCR (qPCR) and competitive index assays. Using real-time PCR, several RR mutants were detected at significantly lower levels in infected heart valves compared with a control strain suggesting the respective RRs are candidate virulence factors for IE. The virulence reduction of the ΔciaR mutant was further confirmed by competitive index assay. Our data suggest that CiaR is a virulence factor of S. pneumoniae strain TIGR4 for IE.

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Year:  2013        PMID: 23342132      PMCID: PMC3546988          DOI: 10.1371/journal.pone.0054320

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Streptococcus pneumoniae is a gram-positive, alpha-hemolytic bacterial species. It colonizes the upper respiratory tract of humans and is also known to be pathogenic under certain conditions. S. pneumoniae causes a number of serious infections in humans, including otitis media, pneumonia, bacteraemia, and meningitis [1]. A large number of strains of S. pneumoniae have been identified based on the chemical composition of the polysaccharide capsule, virulence factors, and other antigens [2]. The TIGR4 strain possesses a polysaccharide capsule, which prevents phagocytosis by the host immune system making this strain up to 105 times more virulent than unencapsulated strains such as R6. Virulence may also be attributed to the ability of this bacterium to sense environmental conditions and induce cellular changes that allow strain TIGR4 to thrive and cause invasive diseases. One such disease is infective endocarditis (IE). S. pneumoniae belongs to the Mitis group of streptococci, and is classified as a viridans species [3]. While many other viridans streptococci such as S. sanguinis and S. mitis are more commonly associated with IE, S. pneumoniae is also an established IE pathogen, accounting for 1–3% of adult cases [4] and 3–5% of cases in children [5]. IE is an infection of the heart valves or endocardium that affects 10,000–20,000 people every year in the U.S. Lesions of the heart valves or endocardium promote the formation of a sterile vegetation composed chiefly of platelets and fibrin. Certain bacteria, if present in the bloodstream, may colonize the vegetation; bacterial growth enlarges the vegetation, further impeding blood flow and inciting inflammation. Complications from IE can lead to congestive heart failure, aneurysm, or embolic stroke [6]. If left untreated, IE will progress and is uniformly fatal. Treatment is difficult because bacteria embedded in the vegetation are sequestered from antibiotics and most immune defenses. Treatment often involves hospitalization for intensive antibiotic therapy and surgery (including heart valve replacement). Unfortunately, treatment has a high rate of failure, with a mortality rate of approximately 25% and a substantial risk of post-treatment morbidity [6]. Mortality rates of 50% have recently been reported for pneumococcal IE [7]. Unique to pneumococci is a condition called Austrian Syndrome, which consists of meningitis, pneumonia, and endocarditis and is most often observed in middle-aged men with pre-existing conditions such as alcoholism. Although Austrian Syndrome is clinically rare, it is highly aggressive and often fatal because endocarditis is recognized too late [8]. Antibiotic prophylaxis prior to invasive dental procedures has historically been the primary method of IE prevention, because it has been shown that invasive procedures facilitate streptococcal access to the bloodstream [9]. However, more recently, it has become appreciated that most cases of IE occur in the absence of dental manipulation and are therefore not preventable by standard antibiotic prophylaxis provided in conjunction with dental procedures [10]. These findings have led to speculation on links between natural human oral flora and their role in disease. More specifically, studies have been performed to identify virulence factors of streptococci that facilitate infection of the blood and heart. Genes involved in signal transduction through two-component systems (TCSs) have been identified as virulence factors in disease models in various studies [11]–[15], but no published studies have included IE. TCSs are common in bacteria and are composed of a membrane-bound protein called a histidine kinase (HK) and a corresponding cytosolic response regulator (RR) protein. The HK protein senses environmental changes, autophosphorylates a histidine residue, and signals to its corresponding cytosolic RR protein by transferring the phosphate to an aspartate residue. The RR undergoes a conformational change and induces a response by regulating gene transcription. TCSs have been shown to modulate responses such as osmoregulation, chemotaxis, sporulation, photosynthesis, and pathogenicity [16]. In disease, TCSs may regulate expression of virulence factor genes in response to specific environmental cues [17]. We report here for the first time the establishment of an animal model of S. pneumoniae IE, and its use to examine the virulence of the TIGR4 strain.

Materials and Methods

Animal Ethic

All animals were handled in compliance with all applicable federal guidelines and institutional policies. All of the procedures were approved by Virginia Commonwealth University Institutional Animal Care and Use Committee (IACUC AM10030).

Bacterial Strain and Medium

S. pneumoniae strain TIGR4 was obtained from the American Type Culture Collection (ATCC). All other S. pneumoniae mutant strains used were derived from TIGR4 (Table 1). All strains were routinely grown in an atmosphere of 6% O2, 80% N2, 7% CO2, 7% H2 generated with an Anoxomat™ system at 37°C in Todd-Hewitt broth (Difco) infused with 0.5% yeast extract, 0.5% glycine, and 11 mM hydrochloric acid (THY+HCl).
Table 1

Bacterial strains used in the study.

StrainPhenotypeTCS1 Sources
S. pneumoniae TIGR4Wild typeATCC BAA-334
Δsp_0083Ermr; Δsp_0083::ermB TCS08this study
Δsp_0156Ermr; Δsp_0156::ermB TCS07this study
Δsp_0376Ermr; Δsp_0376::ermB TCS14this study
Δsp_0387Ermr; Δsp_0387::ermB TCS03this study
Δsp_0526Ermr; Δsp_0526::ermB TCS13this study
Δsp_0603Ermr; Δsp_0603::ermB TCS10this study
Δsp_0661Ermr; Δsp_0661::ermB TCS09this study
Δsp_0798Ermr; Δsp_0798::ermB TCS05this study
Δsp_1633Ermr; Δsp_1633::ermB TCS01this study
Δsp_2000Ermr; Δsp_2000::ermB TCS11this study
Δsp_2082Ermr; Δsp_2082::ermB TCS04this study
Δsp_2193Ermr; Δsp_2193::ermB TCS06this study
Δsp_2235Ermr; Δsp_2235::ermB TCS12this study
Δsp_1678_ErmErmr; Δsp_1678::ermB this study
Δsp_1678_KmKmr; Δsp_1678::aphA-3 this study

TCS cited from Paterson et al. [16].

Ermr, erythromycin resistant; Kmr, kanamycin resistant.

TCS cited from Paterson et al. [16]. Ermr, erythromycin resistant; Kmr, kanamycin resistant.

Construction of Mutants

To study the virulence of TCSs in IE, mutants were made by replacing putative RR genes of TIGR4 with genes (or “cassettes”) encoding resistance to erythromycin (ermB) or kanamycin (aphA-3). RR genes were identified from the genome annotation. The mutants were constructed by recombinant PCR as previously described [18]. Primers for constructions were designed using Primer3 software (http://frodo.wi.mit.edu/) (Table 2). High-fidelity Taq DNA polymerase (Invitrogen) was used in the PCR reaction mixtures. The PCR conditions to amplify each fragment were 94°C for 1 min., followed by 30 cycles at 94°C for 30 s, 54°C for 30 s, 68°C for 1 min. 30 s, and finally 68°C for 4 min. The approximately 3-kb final linear DNA construct was used for homologous recombination into the TIGR4 genome. The transformation protocol followed for the TIGR4 strain was modified from a previously described protocol for S. pneumoniae [19]. Briefly, mid-log phase stock cultures were thawed and diluted 50-fold with media (20 ul culture+980 ul THY+HCl) in conical tubes. Tubes were incubated at 37°C under microaerophilic conditions for 3 hrs to reach O/D600nm = 0.03. To induce competence of cells, 10 N (1 µl) NaOH, 10% (10 µl) BSA, 1 M (1 µl) CaCl2, and 2.8 µl CSP-2 (competence stimulating peptide type 2, EMRISRIILDFLFLRKK) was added to each tube and incubated at a 37°C under microaerophilic conditions for 14 min. Mutant donor DNA (50 ng) was then added to tubes and incubated at 37°C under microaerophilic conditions for 90 min. Cells were then diluted 200-fold in media (5 µl cells+995 µl THY+HCl). Transformant bacterial cells were selected by spreading 100 µl of diluted cultures onto antibiotic (10 µg/ml erythromycin or 500 µg/ml kanamycin) selection agar plates. Plates were incubated at 37°C under microaerophilic conditions for 48 hrs. Resultant colonies that were present on selective agar plates and on plates with no antibiotics were counted and the transformation efficiency was calculated.
Table 2

Primers used for mutant construction.

PrimersSequence
SP_0083F1 CATGTGATTCCATACGAACTCTTC
SP_0083R1 CCTTCTCACTATTTAGTCATCCAACTCCCATCTGTCTCTCCTTTGAT
SP_0083F3 AAAGGAGGAAAATCACATGTCCAACTATAAGATAGAGAAACCGAGAGG
SP_0083R3 CATCGGTCACACTGATTGAAAG
SP_0156F1 CCAAAAGCAGGTAGTGGATTTAGTA
SP_0156R1 CCTTCTCACTATTTAGTCATCCAACATACATTTTCTCCCTTTCTACTCA
SP_0156F3 AAAGGAGGAAAATCACATGTCCAACTACCGAAAACAGGTAGAAACTATA
SP_0156R3 GGTCCATTTCATAGAAATTTTTGC
SP_0376F1 GAAAGCTATGACTTGATGCAACACT
SP_0376R1 CCTTCTCACTATTTAGTCATCCAACCCCCATGGCTGACCTACTTATT
SP_0376F3 AAAGGAGGAAAATCACATGTCCAACCGTGGTGTTGGATATACCATGC
SP_0376R3 ATACCATTTGCCTCGTACTATATTTC
SP_0387F1 TCTTTTTATTGTTGGTTTTCAGCAT
SP_0387R1 CCTTCTCACTATTTAGTCATCCAACTTTCATCTTTACTCCTTTATCATTCC
SP_0387F3 AAAGGAGGAAAATCACATGTCCAACCACCATTTGGTGGGGCAAGAGG
SP_0387R3 CCCTCCATTATCACATAAACAGGTA
SP_0526F1 ATGAGAAGACTGGAAGTCTGGTAAA
SP_0526R1 CCTTCTCACTATTTAGTCATCCAACTCTCATCTTCTTACTCTCCCTC
SP_0526F3 AAAGGAGGAAAATCACATGTCCAACGTGTCTGAGGCCATCAATAAAT
SP_0526R3 TATCTGCTCCATATCCTCCTCTTC
SP_0603F1 GCTCTTGAGCAATCTATCTCTGGTA
SP_0603R1 CCTTCTCACTATTTAGTCATCCAACTTTCATACTTTAACTGCTCTCTATTT
SP_0603F3 AAAGGAGGAAAATCACATGTCCAACCGCAATGTTGGTTATAAATTGGAG
SP_0603R3 AAAGTATCTGCAGAACATGGTGATT
SP_0661F1 AGGAAAACTTGAAGAATTTTGTGGT
SP_0661R1 CCTTCTCACTATTTAGTCATCCAACGGTCATGCTCTGCTCCTTTACC
SP_0661F3 AAAGGAGGAAAATCACATGTCCAACCCTCGTCAGTTTAAGAAGGGAG
SP_0661R3 ACAGACAAGAAGAGATGTGACACTG
SP_0798F1 GTTGCTAAATTGGCTCGTCATAACT
SP_0798R1 CCTTCTCACTATTTAGTCATCCAACTATCATGAGAAACTCCTCCTTATT
SP_0798F3 AAAGGAGGAAAATCACATGTCCAACACTTTGCGTAGTGTTGGGTATC
SP_0798R3 ATCATCTCTCCGAGCTAAGTTCA
SP_1227F1 AGTTCCACATCTAGGTGACTGGTAG
SP_1227R1 AAAGGAGGAAAATCACATGTCCAACCGCCGTGGTGTAGGGTATTACA
SP_1227F3 CCTTCTCACTATTTAGTCATCCAACTTTCATATGTTCACCTTTTTCTCTAC
SP_1227R3 AGCCATTTCCAGTATTGCTTTTAAC
SP_1633F1 TAGATAGATAAAGGCCAAGTCCAGA
SP_1633R1 AAAGGAGGAAAATCACATGTCCAACACCAAGAAAGGAATAGGGTACG
SP_1633F3 CCTTCTCACTATTTAGTCATCCAACGTGCATGCGCTTCTCCTTTTCC
SP_1633R3 ATAATGGAACCTTGTGGAATGAATA
SP_2000F1 GAGCGAATTTTATCTGTCAAGTGAT
SP_2000R1 AAAGGAGGAAAATCACATGTCCAACAATATCGCGAAAGAATCTGGTTG
SP_2000F3 CCTTCTCACTATTTAGTCATCCAACTTTCATCTACTTTCTCTCTTATAAA
SP_2000R3 CTGGTTTTTCTTTTTCCTATCCAAT
SP_2082F1 GATATTTCTGCGACTCATTTTGAAC
SP_2082R1 CCTTCTCACTATTTAGTCATCCAACTGTCATCTATTATCTCCTATTGGT
SP_2082F3 AAAGGAGGAAAATCACATGTCCAACGGTTATGGTTATAACTTCAAGGAG
SP_2082R3 AGATGCTCAACAATATGCTCAAGAC
SP_2193F1 CTAATAAGTGGCTCATCTGGTCAAT
SP_2193R1 AAAGGAGGAAAATCACATGTCCAACGTGAAAAATGTTGGGTATAAGATTAG
SP_2193F3 CCTTCTCACTATTTAGTCATCCAACGTTCATCTCTCTCCCTTTCTAC
SP_2193R3 CAAGCTTCAGCTCTGAAATTGTTA
SP_2235F1 AAATTGCTTTCCATTCTTTAAACTT
SP_2235R1 AAAGGAGGAAAATCACATGTCCAACGATATTTTAGAGAAAAAATCTCAAAAGT
SP_2235F3 CCTTCTCACTATTTAGTCATCCAACAACTTTCATTCAAATTCCCTCTTAAA
SP_2235R3 GCCTATTTTGACAAGGACTACCTTT
SP_1678F1 CTGGAATGACACCTTCGTATTTTT
SP_1678R1_Erm AAGGAGGAAAATCACATGTCCAACTTACAAAGAAAAATGATGGAGGAG
SP_1678F3_Erm CCTTCTCACTATTTAGTCATCCAACGAACAAATCTATTTTTTCTTTTGGAC
SP_1678R3 GTATCAAAGACGAGGCAGTAGCAT
SP_1678R1_Km GTTTTAGTACCTGGAGGGAATAATGTTACAAAGAAAAATGATGGAGGAG
SP_1678F3_Km GCCATTTATTCCTCCTAGTTAGTCAGAACAAATCTATTTTTTCTTTTGGAC
Erm_F GTTGGATGACTAAATAGTGAGAAGGAGTGATTACATGAACAA
Erm_R GTTGGACATGTGATTTTCCTCCTTTTTATTTCCTCCCGTTAAATAATAG

Growth of Mutants

Growth rates of mutants were determined as follows. Each mutant strain from frozen stocks was inoculated into 5 ml THY+HCl and incubated at 37°C under microaerophilic conditions overnight. Overnight cultures were diluted 100-fold into fresh media (56 µl culture+5.54 ml THY+HCl). A total of 200 µl of each mutant culture was pipetted in triplicate into wells of 96-well plates so that each plate had repeats of every mutant. One plate was made for every time point to be measured for the growth curve. Each plate was incubated in separate Anoxomat™ jars at 37°C under microaerophilic conditions. At each time point, a corresponding plate was removed from incubation and the cell growth was measured using the FLUOstar plate reader (BMG Technologies) at OD600nm. After 10 hrs of measurements, a growth curve using the average of the hourly repeats for each mutant was constructed from the data collected.

Virulence Assessment in the Rabbit Endocarditis Model

IE virulence was investigated using a standard rabbit model, employed previously for investigation of IE virulence in oral streptococci [20], [21]. Briefly, male specific-pathogen free, New Zealand White rabbits weighing 3 to 4 kg were used. To induce valve damage, the right internal carotid artery of each anaesthetized animal was nicked, and a catheter was inserted through the opening and threaded until resistance was met, indicating contact with the aortic valve or left ventricle. The catheters was then tied off and sutured in place, and the incision closed. S. pneumoniae TIGR4 from a single colony on BBL trypticase soy agar with 5% sheep blood (TSA II) was inoculated into fresh brain heart infusion (BHI) medium and cultured microaerophilically at 37°C overnight. The overnight culture was diluted 10-fold with pre-warmed fresh BHI and cultured at 37°C for 3 h. After centrifugation and washing with PBS, bacterial cells were adjusted to OD660 of 0.8 and 0.5 ml of bacterial cells was inoculated into the peripheral ear veins of rabbits catheterized two days prior. The day after inoculation, rabbits were sacrificed and heart valve vegetations were collected, homogenized, serially diluted, and spread onto TSA II agar plates for bacterial enumeration. For competitive index (CI) assays of pooled mutants, the same inoculum prepared for in vitro studies (OD660nm = 0.8 or 2×108 CFU/ml of 14 mutants) was loaded at 0.5ml volume into syringes for injection into the ear vein of four rabbits. Other procedures were as described above. Finally, the harvested heart valve vegetations from sacrificed rabbits were homogenized and used for qPCR analysis. Additional competition experiments were performed as previously described [20], [21]. Bacterial cells of a single Ermr mutant and a Kmr control strain were mixed in equal numbers for inoculation. This inoculum was injected into the ear vein of three catheterized rabbits to evaluate the relative fitness in IE. Bacteria were recovered from infected heart valves 20 hrs later as above, diluted, and enumerated on selection plates with either Km or Erm [20]. The colony counts were applied to the CI formula (mutant/control ratio of the recovered cells divided by the mutant/control ratio of the inoculum) and significance was calculated by one-sample t test.

Real-time PCR for Quantitation of Pneumococci in Rabbit Vegetations

Primers of approximately 25 bases for qPCR were designed using Primer3 software. The forward primer was complimentary to the ermB sequence (or universal primer), while the reverse primer was complimentary to the specific sequence of the downstream fragment of each mutant (or gene-specific primer). Bacterial genomic DNA from the pooled inoculum and the infected rabbit vegetations was isolated using a DNeasy Blood & Tissue Kit (Qiagen) and used as the template for qPCR for each of the 14 mutants. The appropriate amount of genomic DNA was obtained by 10-fold serial dilutions for PCR amplified products. We finally used 2 µl of genomic DNA as template, 1 µl dH2O, 1 µl 10 mM common (forward) primer, 1 µl 10 mM specific (reverse) primer and 5 µl 2× PCR Master Mix (Applied Biosystems) in our qPCR reaction mixture. The threshold cycle (CT) of each mutant and the control before and after injection into animals were determined in qPCR assay as described previously [22]. We defined qPCR-CI using CT for virulence determination instead of the regular CI using bacterial CFU. The equation of qPCR-CI was as follows.

DNA Sequence Analysis and Database Search

The PCR amplicons were sequenced with an ABI sequencer at the Nucleic Acids Research Facilities of Virginia Commonwealth University. DNA sequences were analyzed with SeqMan II software. Sequences were searched against the completed S. pneumoniae genomes with BLAST to confirm the correct TCS gene mutants.

Results

Virulence of S. pneumoniae in Endocarditis

We set out to examine the virulence of S. pneumoniae using a rabbit endocarditis model as previously described for S. sanguinis [20], [21]. As before, this model employed catheterization to induce minor damage to the aortic valve, making the animals susceptible to infection. Two days following surgery, about 108 CFU of bacterial cells were inoculated into an ear vein. The following day, animals were euthanized and the infected regions (called “vegetations”) were surgically removed, homogenized, and plated for bacterial enumeration. The log10 CFU from vegetations of three rabbits inoculated with S. pneumonia TIGR4 were 8.04, 6.69 and 7.65 (mean ± SD = 7.46±0.69), respectively. The infection was similar to that of S. sanguinis, which has a typical recovery of 107–108 CFU per animal using similar experimental conditions [20], [21]. This result indicated that S. pneumoniae TIGR4 is virulent in our IE animal model. This animal model could therefore be used to study S. pneumoniae virulence in IE.

Construction of TCS Gene Deletion Mutants

To construct TCS gene mutants, we identified all TCS genes in S. pneumoniae TIGR4 strain by comparing streptococcal genomes [23]. There were 13 putative HKs and 14 putative RRs, including 1 orphan RR (SP_0376). We also randomly selected a gene, SP_1678, encoding a hypothetical protein that we used as a control in subsequent experimentation. Recombinant PCR site-directed mutagenesis [18] was used to construct mutants for genes of interest. Each recombinant PCR amplicon contained three fragments–the upstream region of the target gene, an antibiotic resistance cassette, and the downstream region of the target gene. The recombinant PCR amplicons were transformed into competent TIGR4 cells. Following the protocol described by Bricker (1999), TIGR4 transformation efficiency reached 0.02%. After several attempts, we obtained all TCS deletion mutants except for RR SP_1227. No colonies grew for the SP_1227 mutant in multiple transformations. Sequence comparison showed that this gene was an ortholog of an essential gene, SSA_1565, of Streptococcus sanguinis. This gene, also known as vicR, has been previously reported to be essential for S. pneumoniae growth [24]. We therefore concluded that SP_1227 was essential in TIGR4. All mutants were confirmed by colony PCR and DNA sequencing analysis. We previously used an identical approach for the systematic deletion of every non-essential gene in the chromosome of the closely related species S. sanguinis [18]. The results of that study indicated that the mutagenesis procedure efficiently and reliably produced non-polar mutants in non-essential genes. In addition, the procedure was used to identify eight essential genes in S. pneumoniae TIGR4 [18].

Examination of Mutant Growth in vitro

As a preliminary step and reference for further study in our in vivo IE model, in vitro experiments to elucidate growth rates of our mutants were conducted. After measuring growth of mutants inoculated individually, we found that all the RR mutants grew at similar rates to the control mutant, Δsp_1678, except for RR SP_0798 (Fig. 1), which grew slightly slower than the other strains from 6–10 hr. It reached a similar OD value after 10 hrs.
Figure 1

In vitro growth of RR mutants.

Growth of all 13 RR mutants with Erm-resistance cassettes, and control mutant Δsp_1678 with Erm- and Km-resistance cassettes. Bacterial cultures were individually grown at 37°C in microaerophilic conditions over the course of 10 hrs. Growth was measured by OD readings at 4 hrs and every hour thereafter on a FLUOstar plate reader at 600 nm.

In vitro growth of RR mutants.

Growth of all 13 RR mutants with Erm-resistance cassettes, and control mutant Δsp_1678 with Erm- and Km-resistance cassettes. Bacterial cultures were individually grown at 37°C in microaerophilic conditions over the course of 10 hrs. Growth was measured by OD readings at 4 hrs and every hour thereafter on a FLUOstar plate reader at 600 nm.

Identification of Virulence-related TCS by qPCR

In accordance with ethical principles to minimize the number of animals needed to generate valid results, we employed a pooling strategy in which 13 candidate mutants were combined together for infection of animals. This approach has been used previously [20] except that mutants were monitored by qPCR rather than DNA hybridization. All mutants were co-inoculated along with our control mutant into four rabbits in the endocarditis model. After necropsy, the pooled bacterial cells were collected from the vegetation of each animal. Bacterial genomic DNA was isolated and subjected to quantitative PCR in triplicates using primers specific for each of the 14 mutant loci. A comparative CT method of qPCR [22] was used to identify virulence genes by comparing amounts of genomic DNA of each mutant with the control. Levels of genomic DNA for each mutant relative to the control in the pool were determined before and after injection into animals. Potential virulence factors were identified based on the qPCR-CI (See Materials and Methods). We analyzed the data gathered from qPCR-CI for each mutant from four rabbits. The analysis (Table 3) indicated that several mutants had qPCR-CI values significantly (P<0.01) less than 1.0, including Δsp_0376, Δsp_0798, Δsp_1633, and Δsp_2082. The mutants Δsp_0376 and Δsp_0798 were significantly lower than the others, suggesting the greater importance of these two genes in IE infection. SP_0376 is an orphan response regulator without a neighboring histidine kinase gene. SP_0798 encodes the ciaR gene, which has previously been reported to be involved in systemic virulence in mouse models [11], [16].
Table 3

Endocarditis virulence of mutants determined by qPCR-CI.

MutantCI (Mean1± SD)P value2 Protein nameTCS familyTCSVirulence3
Δsp_00832.00±1.370.15DNA-binding response regulatorPhoTCS08y
Δsp_01560.47±0.260.04DNA-binding response regulatorLytTCS07y
Δsp_03768.57E-05±1.7E-057.70E-06DNA-binding response regulatorPhoTCS14y
Δsp_03870.66±0.750.72DNA-binding response regulatorNarTCS03n
Δsp_05261.01±0.290.79response regulator BlpRAgrTCS13y
Δsp_06031.04±0.560.68DNA-binding response regulator VncRPhoTCS10n
Δsp_06610.98±0.360.83DNA-binding response regulatorLytTCS09y
Δsp_07980.0026±0.00147.40E-10DNA-binding response regulator CiaRPhoTCS05y
Δsp_16330.44±0.160.0061DNA-binding response regulatorPhoTCS01y
Δsp_20002.36±1.370.11DNA-binding response regulatorNarTCS11n
Δsp_20820.33±0.210.01response regulatorPhoTCS04y
Δsp_21933.75±1.720.04DNA-binding response regulatorPhoTCS06y
Δsp_22350.95±0.350.95response regulator ComEAgrTCS12y
SP_1227Essential geneDNA-binding response regulatorPhoTCS02y

Mean, geometric mean.

P values determined by one-sample t test with false discovery rate control.

Virulence cited from Paterson et al. [16].

Mean, geometric mean. P values determined by one-sample t test with false discovery rate control. Virulence cited from Paterson et al. [16].

Confirmation of Virulence Reduction of the ciaR Gene Mutant

An additional competition experiment was performed to confirm the qPCR results. One candidate RR, SP_0798, also known as ciaR, was chosen for further testing based on the fact that the competitiveness of this mutant was significantly reduced in the rabbit endocarditis model. For comparison, a different antibiotic selection marker, a Km resistance cassette, was inserted to replace the SP_1678 gene. The control Δsp_1678_Km mutant and the Δsp_0798 mutant were co-inoculated in equal numbers in the IE animal model. The results from the analysis of three animals indicated that the Δsp_0798 mutant was significantly less virulent than the control strain (Fig. 2).
Figure 2

In vivo competitive index analyses of Δsp_0798.

The CFU of both strains collected from vegetations are shown. The geometric mean CI value calculated for the Δsp_0798 mutant was 0.09. The statistical significance as determined by one-sample t test was P<0.01.

In vivo competitive index analyses of Δsp_0798.

The CFU of both strains collected from vegetations are shown. The geometric mean CI value calculated for the Δsp_0798 mutant was 0.09. The statistical significance as determined by one-sample t test was P<0.01.

Discussion

S. pneumoniae has been subject to much scrutiny due its prevalence as a cause of many serious diseases such as pneumonia, bacteremia, otitis media, meningitis, sinusitis, peritonitis and arthritis. However, its role in IE has been less studied. Genes involved in signal transduction through TCSs have been identified as virulence factors in models of other diseases such as pneumonia and meningitis in various studies [16]; however, none of these studies have included IE. The primary goals of this study were to confirm that the S. pneumoniae TIGR4 strain was indeed capable of causing IE, to establish a quick screen using q-PCR for identification of virulence factors, and to identify virulence-related TCS of this strain. We established a system for constructing mutant strains by replacing target genes with an antibiotic-resistance cassette using PCR amplification and integrating this DNA into the genome by homologous recombination. We applied this method to obtain mutants lacking each of the TCS RR genes except the essential gene SP_1227. Behavior of all mutants was tested by mixing and inoculating them in the rabbit endocarditis model. Virulence was assessed by comparing bacterial abundance by quantitative real-time PCR and the CI assay. We found several mutants with decreased abundance in the rabbits and picked one candidate virulence factor in SP_0798 for further individual testing in the rabbit IE model. Not surprisingly given the different methods and control strains used in the two experiments, the CI and qPCR-CI values were not identical. However, both methods were in agreement in identifying the mutant as markedly and significantly reduced in virulence. In previous studies of diseases such as pneumonia and bacteremia, many TCS in S. pneumoniae were reportedly involved in virulence. TCS01, TCS02, TCS04, TCS05, TCS06, TCS07, TCS08, TCS09, TCS12, TCS13, and TCS14 were found to have a role in virulence [16]. In our study of IE virulence, we found SP_0376/TCS14, SP_0798/TCS05, SP_1633/TCS01 and SP_2082/TCS04 were possible virulence factors based on statistical significance (P<0.01). Each of these RR proteins belongs to the Pho TCS family and has previously been identified as virulence factors of S. pneumoniae in other diseases, such as pneumonia and bacteremia [16]. We individually inoculated Δsp_0798 with our control mutant and confirmed that it did indeed have a role in virulence. SP_0798, known as CiaR, regulates many target genes. It has been shown to bind various promoter sites [25]. Microarray data also identified several genes that were significantly upregulated or downregulated by the mutant in comparison to the wild type. CiaR regulates genes with diverse functions including competence, antibiotic (beta lactam) resistance, stress responses, autolysis, polysaccharide metabolism and transport, and virulence [25]. Regulation of polysaccharide metabolism and transport is likely to have a role in endocarditis virulence as it would contribute to cell wall and capsule synthesis and composition. The cell wall and capsule protects the entire cell and therefore is important for the cell’s ability to survive any environment. Also, CiaR is found to regulate the htrA or high-temperature requirement A gene. It has previously been reported that in S. pneumoniae HtrA, also known as DegP/DO protease, confers tolerance to temperature shifts that pathogens often encounter. HtrA is a serine protease that can act as a molecular chaperone and has proteolytic activity. This protein usually serves as quality control with regard to other proteins in situations of high temperatures. In addition to heat resistance, HtrA can prevent protein degradation and assist in protein folding in situations of oxidative and osmotic stress [11]. The ability of HtrA to aid the cell in response to the environment through CiaR signaling may explain its role in virulence. Interestingly, five promoters strongly regulated by ciaR directed expression of small non-coding RNAs, otherwise known as cia-dependent small RNAs or csRNAs. It was reported that csRNA4 and csRNA5 affected stationary phase autolysis [26]. Another study reported that the CiaR target site affected biological peptide production including bacteriocin and cytolysin [25]. Bacteriocins are antimicrobial peptides that, when secreted, may inhibit or kill competing sensitive microbes or damage host defenses. Consequently, bacteriocin production may be advantageous for S. pneumoniae and contribute to growth and competitiveness in IE infection. Cytolysins are proteins secreted by bacteria that cause the death of other cells such as red blood cells through lysis. Therefore, the role of cytolysins in virulence may be similar to bacteriocins, in that they may also provide bacteria a growth advantage by inhibiting host defenses. A study focused on Group B Streptococci (GBS) reported that ciaR mutants had significant decreases in intracellular survival in neutrophils, macrophages, and human brain microvascular endothelial cells. Additionally, these mutants were more susceptible to killing by antimicrobial peptides, lysozymes, and ROS generated by the immune system [27]. Although that study employed a different species than ours, it is possible that that S. pneumoniae may use similar mechanisms in hosts. It is also possible that the main effect of the ciaR mutation is to reduce the in vivo growth rate. Given that the pathogenesis of streptococcal IE occurs primarily through enlargement of the vegetation due to bacterial growth [6], [28], a decrease in growth would be expected to have a profound effect on virulence. A complete and accurate understanding of the pathways regulated by such virulence factors as CiaR is of particular interest to public health as this information may lead to the identification of improved methods for combating infectious bacteria. In conclusion, this study demonstrated that the S. pneumoniae TIGR4 strain caused IE in a rabbit model. A number of TCS RRs of S. pneumoniae TIGR4 strain contributed to virulence. Further experiments will be needed to elucidate how TCS are involved in IE as virulence factors, as well as the role of genetic regulation in virulence. Identification of regulatory networks of these TCSs may reveal novel signaling pathways related to IE and lead to better methods of prevention or treatment of the disease. Taken together, these results will bring more attention to S. pneumoniae as a causative agent for IE and may lead to more research on the subject.
  28 in total

1.  Multiple two-component systems of Streptococcus mutans regulate agmatine deiminase gene expression and stress tolerance.

Authors:  Yaling Liu; Robert A Burne
Journal:  J Bacteriol       Date:  2009-09-25       Impact factor: 3.490

Review 2.  Streptococcus pneumoniae: virulence factors and variation.

Authors:  A M Mitchell; T J Mitchell
Journal:  Clin Microbiol Infect       Date:  2010-02-02       Impact factor: 8.067

3.  Transformation of a type 4 encapsulated strain of Streptococcus pneumoniae.

Authors:  A L Bricker; A Camilli
Journal:  FEMS Microbiol Lett       Date:  1999-03-15       Impact factor: 2.742

4.  Infective endocarditis caused by beta-hemolytic streptococci. The Infectious Diseases Society of America's Emerging Infections Network.

Authors:  L M Baddour
Journal:  Clin Infect Dis       Date:  1998-01       Impact factor: 9.079

5.  The spectrum of invasive pneumococcal disease at an adult tertiary care hospital in the early 21st century.

Authors:  Adriana M Rueda; José A Serpa; Mahsa Matloobi; Mahwish Mushtaq; Daniel M Musher
Journal:  Medicine (Baltimore)       Date:  2010-09       Impact factor: 1.889

Review 6.  Update on infective endocarditis.

Authors:  Thomas M Bashore; Christopher Cabell; Vance Fowler
Journal:  Curr Probl Cardiol       Date:  2006-04       Impact factor: 5.200

7.  The CiaR response regulator in group B Streptococcus promotes intracellular survival and resistance to innate immune defenses.

Authors:  Darin Quach; Nina M van Sorge; Sascha A Kristian; Joshua D Bryan; Daniel W Shelver; Kelly S Doran
Journal:  J Bacteriol       Date:  2008-12-29       Impact factor: 3.490

8.  Identification of Streptococcus sanguinis genes required for biofilm formation and examination of their role in endocarditis virulence.

Authors:  Xiuchun Ge; Todd Kitten; Zhenming Chen; Sehmi P Lee; Cindy L Munro; Ping Xu
Journal:  Infect Immun       Date:  2008-04-07       Impact factor: 3.441

9.  Austrian syndrome with a delayed onset of heart failure.

Authors:  Yong-Min Kim; Sung-Ai Kim; Min-Gang Kim; Young-Seok Kwon; Eun Ji Kim; Sang-Ho Jo; Hyun-Sook Kim; Sang-Jin Han; Woo Jung Park; Chong-Yun Rhim
Journal:  J Cardiovasc Ultrasound       Date:  2011-03-31

10.  Assigning strains to bacterial species via the internet.

Authors:  Cynthia J Bishop; David M Aanensen; Gregory E Jordan; Mogens Kilian; William P Hanage; Brian G Spratt
Journal:  BMC Biol       Date:  2009-01-26       Impact factor: 7.431

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  4 in total

1.  Identification of a two-component regulatory system involved in antimicrobial peptide resistance in Streptococcus pneumoniae.

Authors:  Aissatou Maty Diagne; Anaïs Pelletier; Claire Durmort; Agathe Faure; Kerstin Kanonenberg; Céline Freton; Adeline Page; Frédéric Delolme; Jaroslav Vorac; Sylvain Vallet; Laure Bellard; Corinne Vivès; Franck Fieschi; Thierry Vernet; Patricia Rousselle; Sébastien Guiral; Christophe Grangeasse; Jean-Michel Jault; Cédric Orelle
Journal:  PLoS Pathog       Date:  2022-04-08       Impact factor: 6.823

2.  Physiological Roles of the Dual Phosphate Transporter Systems in Low and High Phosphate Conditions and in Capsule Maintenance of Streptococcus pneumoniae D39.

Authors:  Jiaqi J Zheng; Dhriti Sinha; Kyle J Wayne; Malcolm E Winkler
Journal:  Front Cell Infect Microbiol       Date:  2016-06-20       Impact factor: 5.293

3.  Cas9 Contributes to Group B Streptococcal Colonization and Disease.

Authors:  Brady L Spencer; Liwen Deng; Kathryn A Patras; Zachary M Burcham; Glenda F Sanches; Prescilla E Nagao; Kelly S Doran
Journal:  Front Microbiol       Date:  2019-08-21       Impact factor: 5.640

4.  Regulation of pneumococcal epigenetic and colony phases by multiple two-component regulatory systems.

Authors:  Juanjuan Wang; Jing-Wen Li; Jing Li; Yijia Huang; Shaomeng Wang; Jing-Ren Zhang
Journal:  PLoS Pathog       Date:  2020-03-18       Impact factor: 6.823

  4 in total

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