- Research article
- Open Access
Evolutionary relationships among salivarius streptococci as inferred from multilocus phylogenies based on 16S rRNA-encoding, recA, secA, and secY gene sequences
© Pombert et al; licensee BioMed Central Ltd. 2009
- Received: 09 April 2009
- Accepted: 30 October 2009
- Published: 30 October 2009
Streptococci are divided into six phylogenetic groups, i.e, anginosus, bovis, mitis, mutans, pyogenic, and salivarius, with the salivarius group consisting of only three distinct species. Two of these species, Streptococcus salivarius and Streptococcus vestibularis, are members of the normal human oral microflora whereas the third, Streptococcus thermophilus, is found in bovine milk. Given that S. salivarius and S. vestibularis share several physiological characteristics, in addition to inhabiting the same ecosystem, one would assume that they would be more closely related to each other than to S. thermophilus. However, the few phylogenetic trees published so far suggest that S. vestibularis is more closely related to S. thermophilus. To determine whether this phylogenetic relationship is genuine, we performed phylogenetic inferences derived from secA and secY, the general secretion housekeeping genes, recA, a gene from a separate genetic locus that encodes a major component of the homologous recombinational apparatus, and 16S rRNA-encoding gene sequences using other streptococcal species as outgroups.
The maximum likelihood (ML) and maximum parsimony (MP) phylogenetic inferences derived from the secA and recA gene sequences provided strong support for the S. vestibularis/S. thermophilus sister-relationship, whereas 16S rRNA-encoding and secY-based analyses could not discriminate between alternate topologies. Phylogenetic analyses derived from the concatenation of these sequences unambiguously supported the close affiliation of S. vestibularis and S. thermophilus.
Our results corroborated the sister-relationship between S. vestibularis and S. thermophilus and the concomitant early divergence of S. salivarius at the base of the salivarius lineage.
- Maximum Parsimony
- Infective Endocarditis
- Phylogenetic Inference
- Maximum Parsimony Analysis
- Salivarius Streptococcus
The Streptococcus genus comprises ninety-two recognized species that are present in a wide variety of habitats . In humans and animals, a number of streptococcal species are important pathogens (e.g., S. pneumoniae, S. pyogenes, S. suis, and S. mutans), while others are members of mutualistic microflora (e.g., S. oralis, S. downei, S. dentirousetti, and S. salivarius). The species of the Streptococcus genus have been divided into six groups (anginosus, bovis, mitis, mutans, pyogenic, and salivarius) based on 16S rDNA phylogenetic inferences . According to these authors, the salivarius group is composed of three species: (1) S. salivarius, a pioneer colonizer of the human oral mucosa that is isolated mainly from the dorsum of the tongue, the cheeks, and the palate , (2) S. vestibularis, a mutualistic bacterium that is present on the vestibulum of the human oral mucosa , and (3) S. thermophilus, a thermophilic species  that is part of starter cultures used in the production of yogurt and Swiss- or Italian-type cooked cheeses. Unlike S. salivarius and S. vestibularis, S. thermophilus is not a natural inhabitant of the human oral mucosa and is commonly found on the mammary mucosa of bovines, its natural ecosystem, as inferred from its presence and that of thermophilus-specific bacteriophages in raw milk isolates [6–8].
The common ecosystem is not the only feature shared by S. salivarius and S. vestibularis. Biochemical investigations of functional metabolic pathways have revealed that these two species share a high level of physiological resemblance. For example, S. salivarius and S. vestibularis are capable of hydrolyzing esculin and generating acidic compounds from maltose and N-acetyl-glucosamine, while S. thermophilus is not ( and references therein). Both S. salivarius and S. vestibularis are also opportunistic pathogens that can cause mild to severe infective endocarditis [10–12], whereas S. thermophilus has never been implicated in such infections. Given the home environments of the organisms, the high level of metabolic similarity between S. salivarius and S. vestibularis, and the more restricted spectrum of carbon sources that can be used by S. thermophilus , one would assume that S. salivarius and S. vestibularis would be more related to each other than to S. thermophilus. However the few phylogenetic trees published so far that include all three species, as inferred from 16S rRNA-encoding gene sequences  and the housekeeping gene sodA that encodes the manganese-dependent superoxide dismutase , suggest that a schism generated S. vestibularis and S. thermophilus subsequent to the early divergence of S. salivarius. However, since these two phylogenetic studies [2, 14] were limited to only one taxon for each species, the inferred relationships between these three species might be inaccurate.
To investigate the evolutionary relationships between the three species making up the salivarius group, we performed phylogenetic inferences based on the 16S rRNA-encoding, secA and secY housekeeping genes and the important yet non-essential recA gene using an identical distribution of streptococcal strains among the various markers to facilitate direct comparisons and allow the concatenation of the individual sequences into a single matrix. These four ubiquitous genes are widely distributed and have homologues in all three kingdoms, i.e., Bacteria, Archaea, and Eukarya (for reviews see [15–17]). The 16S rRNA-encoding gene, which codes for the major ribonucleic constituent of the bacterial small ribosomal subunit , is one the most frequently used housekeeping phylogenetic markers , while the secA and secY genes code for components of the general protein-secretion pathway, which is essential for several cell functions . The fourth gene, recA, codes for a product that initiates the formation of Holliday junction intermediates during homologous recombination . Our ML and MP phylogenetic inferences based of these four gene sequences are in agreement with earlier findings by Kawamura et al.  and Poyart et al.  and corroborate the S. thermophilus/S. vestibularis sister-relationship.
Phylogenetic analyses of secA gene sequences
Phylogenetic analyses of secY gene sequences
Main features of each phylogenetic dataset
Phylogenetic analyses of recA partial gene sequences
Phylogenetic analyses of 16S rRNA-encoding gene sequences
Phylogenetic analyses of concatenated gene sequences
When we began our study, we expected that the S. salivarius and S. vestibularis species would be more closely related to each other given their level of physiological resemblance and that the S. vestibularis/S. thermophilus sister-relationship inferred in previous phylogenetic studies [2, 14] would not be robustly supported. Obviously, this was not the case. Our results were in complete agreement with earlier neighbor-joining phylogenies based on partial 16S rRNA-encoding and sodA gene sequences [2, 14] and corroborated the S. vestibularis/S. thermophilus sister-relationship. This sister-relationship was not dependent on the method of phylogenetic reconstruction and was strongly supported by both our ML and MP analyses. Furthermore, while the 16S-rRNA-encoding and secY gene sequences were unable to discriminate between the S. vestibularis/S. thermophilus and the alternate S. vestibularis/S. salivarius and S. salivarius/S. thermophilus sister-relationships, we observed no serious incongruities between the topologies inferred from these molecular markers and those inferred from the recA and secA gene sequences.
The S. vestibularis/S. thermophilus sister-relationship inferred from our phylogenetic analyses is not necessarily incompatible with the observation that S. vestibularis share more phenotypic similarities with S. salivarius than with S. thermophilus. Following speciation from a putative common ancestor physiologically similar to S. salivarius, the two newly formed species could have evolved differently, with S. vestibularis and S. thermophilus independently retaining and discarding a number of ancestral features. Many of the phenotypic losses observed in the S. thermophilus species could have been induced by its adaptation to its new ecosystem, i.e., the bovine mammary mucosa. In particular, because this species has access to a wealth of nutrients within bovine milk, polyvalence for sugar metabolism-related genes might not be as important for this species as for its relatives inhabiting the human oral mucosa . Further losses could have been caused by additional selective pressure applied on S. thermophilus commercial strains ( and references therein) that are used in the manufacture of various dairy products.
The relationships inferred among the three salivarius streptococci raise interesting questions regarding their establishment in their respective ecosystems. Because the S. salivarius/S. vestibularis sister-relationship is not supported by phylogenetic analyses, the colonization of the human oral cavity by an ancestor of S. thermophilus present in bovine milk, which would have then speciated over time into S. salivarius and S. vestibularis, is not plausible. Furthermore, the independent colonization of bovine mammary and human oral mucosae by a putative ancestor originating from a third environment is not compatible with these phylogenies unless we assume two distinct yet closely related streptococcal ancestors; one that independently colonized the two ecosystems yielding S. thermophilus and S. vestibularis on the one hand, and S. salivarius on the other. Alternatively, the direct or indirect invasion of the bovine mammary mucosa by an ancestor of S. vestibularis originating from the human oral cavity would also be compatible with the S. vestibularis/S. thermophilus sister-relationship.
The phylogenetic analyses presented in the present paper strongly support the S. vestibularis/S. thermophilus sister-relationship and the concomitant early divergence of S. salivarius at the base of the salivarius clade, which is in agreement with previous 16S rDNA/sodA-based phylogenetic inferences [2, 14]. One of the main reasons for conducting the present study was the paucity of phylogenetic studies involving all three species making up the salivarius group. Although a number of studies that included S. salivarius and S. vestibularis have been published, S. thermophilus has been omitted more often than not since it is not retrieved from human clinical isolates. Since the complete genome sequences of three S. thermophilus strains are now available, it would be interesting to revisit phylogenetic studies that involve different phylogenetic markers and S. salivarius/S. vestibularis but not S. thermophilus to verify whether the addition of S. thermophilus would result in a similar branching order among salivarius streptococci.
Streptococcus salivarius strains ATCC 7073 and 25975 and Streptococcus vestibularis strain ATCC 49124 were obtained from the American Type Culture Collection (Manassas, VA, USA). Streptococcus salivarius strain K12 was obtained from BLIS Technologies Ltd. (Dunedin, New Zealand). Streptococcus salivarius strains CCUG 32452 and 25922 and Streptococcus vestibularis strains CCUG 7215 and 27306 (renamed S. salivarius strains CCUG 7215 and 27306 herein) were obtained from the University of Göteborg Culture Collection (Göteborg, Sweden). Streptococcus salivarius clinical isolates CCRI 17344 and CCRI 17393 and Streptococcus vestibularis clinical isolate CCRI 17387 were obtained from the Centre de Recherche en Infectiologie of the Centre Hospitalier Universitaire de Québec (CHUQ), CHUL Pavilion (Quebec City, QC, Canada). The identity of the S. vestibularis strains was confirmed by comparative growth on TYE medium containing either raffinose or glucose as the sole carbon source.
DNA isolation and sequencing
Streptococcal strains were grown in TYE-glucose liquid medium as described in Lévesque et al.  or on sheep-blood agar medium overnight at 35°C in a 5% CO2 atmosphere. Their 16S rRNA-encoding, recA, secA, and secY genes were amplified by polymerase chain reaction (PCR) from either (A) purified chromosomal DNA, (B) DNA released from boiled bacterial colonies, or (C) bacterial lysates. Purified chromosomal DNA was obtained as follows. Streptococcal cells were pelleted by centrifugation. The pellets were washed for 30 min at 37°C in 50 mM Tris-HCl buffer (pH 8) containing 6.7% (w/v) sucrose, 1 mM EDTA, and 40 U/ml of mutanolysin. SDS (final concentration 1%) was then added and the cells were lysed for 10 min at 60°C. Proteinase K (final concentration 0.14 mg/ml) was added and the incubation was continued for an additional 20 min. Chromosomal DNA was isolated from the cellular debris using the standard phenol/ChCl3 extraction protocol described by Sambrook et al. . DNA released from boiled cells was obtained as follows. Streptococcal colonies grown on TYE-glucose agar or blood agar medium were suspended in 100 μl of distilled water and then boiled at 94°C for 3 min. This suspension was then used instead of sterile distilled water in the PCR protocols. Bacterial lysates were obtained with the BD GeneOhm™ Lysis Kit (BD Diagnostics-GeneOhm, Quebec City, QC, Canada). The 16S rRNA-encoding, recA, secA and secY genes were amplified by PCR using primers 16S_F (5'-AGTTTGATCCTGGCTCAGGACG-3') and 16S_R (5'-ATCCAGCCGCACCTTCCGATAC-3'), SSU27 (5'-AGAGTTTGATCMTGGCTCAG-3') and SSU1492 (5'-TACGGYTACCTTGTTACGACTT-3'), RStrGseq81 (5'-GAAAWWIATYGARAAAGAITTTGGTAA-3') and RStrGseq937 (5'-TTYTCAGAWCCTTGICCAATYTTYTC-3'), SecAAMON (5'-CAGGCCTTTGAAAATCTCTTAC-3') and SecAAVAL (5'-CTCTTTATCACGAGCTTGCTTC-3'), or SecYAMON (5'-CTGCTGAAGCAGCTATCACTGC-3') and SecYAVAL (5'-CTTTACCAGCACCTGGTAGACC-3'). The PCR templates were sequenced using Sanger dideoxynucleotide chemistry as described in Pombert et al. . The sequences were edited and assembled using STADEN package version 1.7.0 http://staden.sourceforge.net/ or SEQUENCHER 4.8 (GeneCodes, Ann Arbor, MI, USA).
The sequences we used were either retrieved from GenBank or sequenced by the authors. Sequences showing ambiguous base calling in databases were not selected for phylogenetic analyses. The 16S rRNA-encoding gene sequences were aligned using CLUSTALX 2.0.7 , whereas the recA, secA, and secY gene sequences were aligned by positioning their codons on the corresponding protein alignments. To do so, the amino acid sequences from the corresponding gene sequences were first deduced using the bacterial translation table from GETORF in EMBOSS 6.0.1 . They were then aligned using CLUSTALX 2.0.7, and the codons were positioned according to the amino acid alignments. Ambiguous regions in the alignments were filtered out with GBLOCKS 0.91b . A fifth dataset was produced by concatenating the resulting filtered sequences. Bootstrap replicates for the ML analyses were generated with SEQBOOT from the PHYLIP 3.67 package .
Computations and analyses were performed on a cluster of four AMD64 Opteron 875 Dual Core 2.2 Ghz/2 MB L2 cache CPUs with 16 GB of RAM running on Debian 4.0 (kernel 22.214.171.124), a MacBook Pro laptop with a Core 2 Duo 2.4 Ghz/4 MB L2 cache CPU and 2 GB of RAM running on MacOS X 10.5.4, or on an ASUS M6NBe laptop with a 1.6 G Hz/2 MB L2 cache Dothan CPU and 1 GB of RAM running on MS Windows XP SP3. Maximum likelihood (ML) analyses were computed using PHYML 3.0  under the GTR + Γ4 +I nucleotide substitution model. This model was selected using the Akaike Information Criterion (Akaike 1973), as implemented using jModelTest 3.7 . One hundred bootstrap replicates were performed for each ML analysis. Maximum parsimony (MP) analyses were performed with PAUP* 4.0b10 , each using a thousand bootstrap replicates.
S. gordonii str.
Challis substr. CH1
S. pyogenes M1
S. pyogenes str.
This study was funded by Canadian Institute of Health Research (CIHR) operating grant MOP 177248 to MF. JFP is the recipient of the FQRNT/Génome Québec Louis-Berlinguet postdoctoral fellowship. The sequencing service of the Centre de bio-informatique et de biologie computationnelle (CBBC) at Université Laval and the CHUL sequencing service sequenced the DNA templates. We thank Gene Bourgeau for editorial help and Dr. John R. Tagg for kindly sending us S. salivarius strain K12.
- Euzéby JP: List of Bacterial Names with Standing in Nomenclature: a folder available on the Internet. Int J Syst Bacteriol. 1997, 47: 590-592.PubMedView ArticleGoogle Scholar
- Kawamura Y, Hou XG, Sultana F, Miura H, Ezaki T: Determination of 16S rRNA sequences of Streptococcus mitis and Streptococcus gordonii and phylogenetic relationships among members of the genus Streptococcus. Int J Syst Bacteriol. 1995, 45: 406-408.PubMedView ArticleGoogle Scholar
- Marsh PD: Oral ecology and its impact on oral microbial diversity. Oral ecology: the molecular basis. Edited by: Kuramitsu H, Ellen RP. 2000, Wymonham, UK: Horizon Scientific Press, 11-65.Google Scholar
- Whiley RA, Hardie JM: Streptococcus vestibularis sp. nov. from the human oral cavity. Int J Syst Bacteriol. 1988, 38: 335-339.View ArticleGoogle Scholar
- Schleifer KH, Ehrmann M, Krusch U, Neve H: Revival of the species Streptococcus thermophilus (ex Orla-Jensen, 1919) nom. rev. System Appl Microbiol. 1991, 14: 386-388.View ArticleGoogle Scholar
- Girard F, Lautier M, Novel G: DNA-DNA homology between plasmids from Streptococcus thermophilus. Lait. 1987, 67: 537-544.View ArticleGoogle Scholar
- Jayarao BM, Pillai SR, Wolfgang DR, Griswold DR, Hutchinson LJ: Herd level information and bulk tank milk analysis: tools for improving milk quality and udder health. Bovine Practitioner. 2001, 35: 23-37.Google Scholar
- Bruttin A, Desiere F, d'Amico N, Guerin JP, Sidoti J, et al: Molecular ecology of Streptococcus thermophilus bacteriophage infections in a cheese factory. Appl Environ Microbiol. 1997, 63: 3144-3150.PubMed CentralPubMedGoogle Scholar
- Hardie JM, Whiley RA: The Genus Streptococcus--Oral. The Prokaryotes. Edited by: Dworkin M, Falkow S, Rosenberg E, Schleifer K-H, Stackebrandt E. 2006, Springer, 76-107. ThirdView ArticleGoogle Scholar
- Doyuk E, Ormerod OJ, Bowler IC: Native valve endocarditis due to Streptococcus vestibularis and Streptococcus oralis. J Infect. 2002, 45: 39-41.PubMedView ArticleGoogle Scholar
- Partridge SM: Prosthetic valve endocarditis due to Streptococcus vestibularis. J Infect. 2000, 41: 284-285.PubMedView ArticleGoogle Scholar
- Corredoira JC, Alonso MP, Garcia JF, Casariego E, Coira A, et al: Clinical characteristics and significance of Streptococcus salivarius bacteremia and Streptococcus bovis bacteremia: a prospective 16-year study. Eur J Clin Microbiol Infect Dis. 2005, 24: 250-255.PubMedView ArticleGoogle Scholar
- Hols P, Hancy F, Fontaine L, Grossiord B, Prozzi D, et al: New insights in the molecular biology and physiology of Streptococcus thermophilus revealed by comparative genomics. FEMS Microbiol Rev. 2005, 29: 435-463.PubMedGoogle Scholar
- Poyart C, Quesne G, Coulon S, Berche P, Trieu-Cuot P: Identification of streptococci to species level by sequencing the gene encoding the manganese-dependent superoxide dismutase. J Clin Microbiol. 1998, 36: 41-47.PubMed CentralPubMedGoogle Scholar
- Papanikou E, Karamanou S, Economou A: Bacterial protein secretion through the translocase nanomachine. Nat Rev Microbiol. 2007, 5: 839-851.PubMedView ArticleGoogle Scholar
- Cox MM: Motoring along with the bacterial RecA protein. Nat Rev Mol Cell Biol. 2007, 8: 127-138.PubMedView ArticleGoogle Scholar
- Sapp J: Two faces of the prokaryote concept. Int Microbiol. 2006, 9: 163-172.PubMedGoogle Scholar
- Selmer M, Dunham CM, Murphy FVt, Weixlbaumer A, Petry S, et al: Structure of the 70S ribosome complexed with mRNA and tRNA. Science. 2006, 313: 1935-1942.PubMedView ArticleGoogle Scholar
- Janda JM, Abbott SL: 16S rRNA gene sequencing for bacterial identification in the diagnostic laboratory: pluses, perils, and pitfalls. J Clin Microbiol. 2007, 45: 2761-2764.PubMed CentralPubMedView ArticleGoogle Scholar
- Gold VA, Duong F, Collinson I: Structure and function of the bacterial Sec translocon. Mol Membr Biol. 2007, 24: 387-394.PubMedView ArticleGoogle Scholar
- Li X, Heyer WD: Homologous recombination in DNA repair and DNA damage tolerance. Cell Res. 2008, 18: 99-113.PubMed CentralPubMedView ArticleGoogle Scholar
- Rasmussen TB, Danielsen M, Valina O, Garrigues C, Johansen E, et al: Streptococcus thermophilus core genome: comparative genome hybridization study of 47 strains. Appl Environ Microbiol. 2008, 74: 4703-4710.PubMed CentralPubMedView ArticleGoogle Scholar
- Lévesque CM, Lamothe J, Frenette M: Coaggregation of Streptococcus salivarius with periodontopathogens: evidence for involvement of fimbriae in the interaction with Prevotella intermedia. Oral Microbiol Immunol. 2003, 18: 333-337.PubMedView ArticleGoogle Scholar
- Sambrook J, Fritsch EF, Maniatis T: Molecular cloning: a laboratory manual. 1989, Cold Spring Harbor, NY, USA: Cold Spring Harbor Laboratory PressGoogle Scholar
- Pombert JF, Otis C, Lemieux C, Turmel M: The complete mitochondrial DNA sequence of the green alga Pseudendoclonium akinetum (Ulvophyceae) highlights distinctive evolutionary trends in the chlorophyta and suggests a sister-group relationship between the Ulvophyceae and Chlorophyceae. Mol Biol Evol. 2004, 21: 922-935.PubMedView ArticleGoogle Scholar
- Larkin MA, Blackshields G, Brown NP, Chenna R, McGettigan PA, et al: Clustal W and Clustal X version 2.0. Bioinformatics. 2007, 23: 2947-2948.PubMedView ArticleGoogle Scholar
- Rice P, Longden I, Bleasby A: EMBOSS: the European Molecular Biology Open Software Suite. Trends Genet. 2000, 16: 276-277.PubMedView ArticleGoogle Scholar
- Castresana J: Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis. Mol Biol Evol. 2000, 17: 540-552.PubMedView ArticleGoogle Scholar
- Felsenstein J: PHYLIP - Phylogeny Inference Package (Version 3.2). Cladistics. 1989, 5: 164-166.Google Scholar
- Guindon S, Gascuel O: A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst Biol. 2003, 52: 696-704.PubMedView ArticleGoogle Scholar
- Posada D: jModelTest: Phylogenetic model averaging. Mol Biol Evol. 2008, 25: 1253-1256.PubMedView ArticleGoogle Scholar
- Swofford DL: PAUP* Phylogenetic Analysis Using Parsimony (* and other methods). Version 4.0b10 ed. 2003, Sunderland, MA, USA: Sinauer AssociatesGoogle Scholar
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