- Open Access
Exploring internal features of 16S rRNA gene for identification of clinically relevant species of the genus Streptococcus
© Lal et al; licensee BioMed Central Ltd. 2011
- Received: 30 March 2011
- Accepted: 25 June 2011
- Published: 25 June 2011
Streptococcus is an economically important genus as a number of species belonging to this genus are human and animal pathogens. The genus has been divided into different groups based on 16S rRNA gene sequence similarity. The variability observed among the members of these groups is low and it is difficult to distinguish them. The present study was taken up to explore 16S rRNA gene sequence to develop methods that can be used for preliminary identification and can supplement the existing methods for identification of clinically-relevant isolates of the genus Streptococcus.
16S rRNA gene sequences belonging to the isolates of S. dysgalactiae, S. equi, S. pyogenes, S. agalactiae, S. bovis, S. gallolyticus, S. mutans, S. sobrinus, S. mitis, S. pneumoniae, S. thermophilus and S. anginosus were analyzed with the purpose to define genetic variability within each species to generate a phylogenetic framework, to identify species-specific signatures and in-silico restriction enzyme analysis.
The framework based analysis was used to segregate Streptococcus spp. previously identified upto genus level. This segregation was validated using species-specific signatures and in-silico restriction enzyme analysis. 43 uncharacterized Streptococcus spp. could be identified using this approach.
The markers generated exploring 16S rRNA gene sequences provided useful tool that can be further used for identification of different species of the genus Streptococcus.
- phylogenetic framework
- signature sequences
- genetic heterogeneity
The genus Streptococcus consists of spherical Gram positive bacteria belonging to the class Bacilli and the order Lactobacillales. The group is large and comprises of numerous clinically significant species which are responsible for wide variety of infections in human and animals. Streptococcus of different groups are known to cause human diseases, some species being highly virulent and responsible for major diseases. Species like S. pyogenes, S. agalactiae and S. pneumoniae are important as they cause serious acute infections in man, but several other species are also involved in a number of diseases like infective endocarditis, abscesses and other pathological conditions . Various species of Streptococcus are known to be associated with infections of cattles, pigs, horses, sheeps, birds, aquatic mammals and fishes . The genus has undergone considerable taxonomic revisions and has been divided into different groups (pyogenic, anginosus, mitis, mutans, salivarius, bovis) based on 16S rRNA gene sequence similarity .
Since many species belonging to the genus Streptococcus are associated with various pathological conditions, different protocols have been used for their identification. Still precise identification of these species is laborious. Clinical laboratories use serological grouping by Lancefield, haemolytic reactions and phenotypic tests for identification of various Streptococcus isolates. However, these Lancefield groups are not species-specific [5, 6] and haemolytic activity differs within species and depends on incubation procedures. Strains within a given species may differ for a common trait [7, 8] and even the same strain may exhibit biochemical variability [9, 10].
Various alternatives have been employed for identification of Streptococcus isolates. These include DNA hybridization [11–14]; rDNA restriction analysis [15–17]; use of 16S-23S rRNA interspacer region [18–21], D-alanyl-D-alanine ligase gene (ddl gene) ; autolysin gene (lytA) ; dextranase (dex) ; heat shock protein (groESL) [25, 26]; RNA subunit of endoribonuclease P (rnpB) ; the elongation factor Tu (tuf) ; gyrase A (gyrA) and topoisomerase subunit C (parC) ; sequence analysis of small subunit rRNA ; manganese-dependent superoxide dismutase gene (sodA) [31, 32]; recombination and repair protein (recN) ; tDNA PCR fragment length polymorphism [34, 35] and use of multilocus sequencing typing loci [36, 37].
16S rRNA gene sequencing has proved to be one of the most powerful tools for the classification of microorganisms  and has been used for identification of clinically relevant microbes [39, 40]. Therefore, molecular tools based on 16S rRNA gene can be developed and used for identification. However it is also true that the correct identification of bacterial species may not be based on the nucleotide sequence of a single gene. Multilocus Sequence Analysis (MLSA) of several house-keeping genes has to be performed. But from practical standpoint there is need for a simplified approach for preliminary identification of a species, particularly under the conditions if the amount of isolated DNA is not enough for MLSA or it does not react with a complete set of typing primers. The current work considers the possibility to use 16S rRNA sequences for this purpose and is useful for practical applications.Thus the present study aims to explore internal features of 16S rRNA gene for preliminary identification of a species that can supplement the existing methods for identification. These methods include construction of phylogenetic framework, identification of species-specific signatures and restriction enzyme analysis.
16S rRNA gene sequences belonging to the genus Streptococcus from RDP database http://rdp.cme.msu.edu/ were analysed in the present study. These included the sequences with relatively high number of identified organisms (86 sequences belonging to isolates of S. dysgalactiae, 61 to S. equi, 61 to S. pyogenes, 29 to S.agalactiae, 31 S. bovis-equinus (S. bovis and S. equinus are considered to be a single species ), 76 to S. gallolyticus, 102 to S. mutans, 23 to S.sobrinus, 28 to S. mitis, 41 to S. pneumoniae, 73 to S. thermophilus, 32 to S. anginosus) and 63 sequences of uncharacterized species identified only upto genus level. The sequences belonging to twelve sets of Streptococcus species occurring with higher frequency were used as the master species set for generating a phylogenetic framework, species-specific signatures and restriction enzyme analysis.
For phylogenetic analyses, the sequences were aligned using multiple alignment program CLUSTAL_X . Evolutionary distances between all the sequences were calculated with DNADIST of the PHYLIP 3.6 package . The program NEIGHBOR was used to draw neighbor joining  tree with Jukes and Cantor correction . Statistical testing of the trees was done using SEQBOOT by resampling the dataset 1000 times. The trees were viewed through TreeView Version 1.6.6 . For each of these 12 Streptococcus species data sets, sequences that formed a single cluster were aligned and a consensus was obtained by using JALVIEW sequence editor . The sequence close to consensus from each group was chosen as a representative for that particular group. Based on this, a reference set of 63 sequences was selected to define the range of genetic variability present in each of the Streptococcus species.
Signatures were identified in each of the species data set using online MEME program . Sequences of 12 Streptococcus species data sets were submitted groupwise in MEME program Version 4.6.1 http://meme.sdsc.edu/meme4_6_1/cgi-bin/meme.cgi. In order to obtain maximum number of motifs the default setting was modified from 3 motifs to 20 motifs. The default value of motif widths was also modified and re-set between 25 and 50. Each of the 20 signatures was checked for its frequency of occurrence among a particular Streptococcus sp. The signatures which did not appear in other Streptococcus spp. were considered as unique. BLAST search against NCBI database http://www.ncbi.nlm.nih.gov/ was carried out for these signatures to check their uniqueness.
Restriction enzyme analysis
Restriction enzymes used in the present study
AG ▼ CT
G ▼ GATCC
C ▼ TAG
G ▼ AATTC
GG ▼ CC
GCG ▼ C
A ▼ AGCTT
C ▼ CGG
GT ▼ AC
CCC ▼ GGG
Cluster analysis for restriction profile
For cluster analyses MVSP (Multi Variate Statistical Package, Kovach Computing Services) version 3.13p was used. Dendrograms were constructed using the restriction patterns generated by different restriction enzymes for 12 framework species. The dendrograms show the utility of these enzymes in distinguishing different strains.
In the present study, 16S rRNA gene sequences belonging to 12 different species from the genus Streptococcus were analyzed with the aim to construct phylogenetic framework, identification of species-specific signatures and restriction enzyme analysis.
Sequences used for generating phylogenetic framework.
No. of sequences used
No. of clusters obtained
No. of representative sequences
Accession number of representative sequences
AB002487, EU660339, AB002511, AB159678, EU075068
EF406002, FM204883, EF406019, AB002516T, AJ605748T
FJ798740, FJ662832, FJ662840, AB002521, AE004092, FJ662845, CP000003, EU660342
AF459432, AB023574, AF015927, AB175037T, X59032
AF104109, AJ305257, DQ148956
AF104114, EU163502, EU163482, EU163499, AF459431
DQ677759, DQ677739, DQ677777, AE014133, AF139600, DQ677743,
AB294731, DQ677789, DQ677790, DQ677798
AF003929T, AJ295853, EU200182, AM157440, DQ232533, AM157420, AY281076, AB002520, AY281078
AE008386, CP001015, AJ617796, AY525795
EF990662, X68418T, EU419603, FJ749326
AY986762, AF145239, AF104678T, AY986764, DQ232517
Unique signature sequences identified for 12 Streptococcus framework spp.
Unique Signature (Nucleotides)
Frequency of occurance
TGCATCACTATGAGATGGACCTGCG TTGTATTAGCTAGTTGGTGAGGTAA (223-272)
ACTAGTAGATGGACCTGCG TTGTATTAGCTAGTTGGTAAGGTAAGAGCTT (228-277)
Restriction enzyme analysis
Streptococcus spp. identified upto species level:
Close framework species
Presence of species-specific signatures
Unique RE pattern
S. dysgalactiae (Msp I)
S. gallolyticus (Bfa I)
S. thermophilus (Alu I, Hae III Sau 3AI,Bam HI)
S. anginosus (Alu I, Bfa I, Hae III)
S. pneumonaie (Alu I, Msp I)
S. mitis (Alu I, Msp I, Sau 3AI)
S. bovis-equinus (Bfa I)
Streptococcus is a clinically important genus as a number of species belonging to this genus are human and animal pathogens. This genus has undergone considerable taxonomic revisions and has been divided into different groups based on 16S rRNA gene sequence similarity.
The present study aims to explore internal features of 16S rRNA gene sequences of different Streptococcus spp. to develop methods for their identification. A phylogenetic framework was constructed using different representative sequences followed by identification of signature sequences and restriction enzymes analysis. The framework based analysis suggests a high level of genetic heterogeneity present within different Streptococcus spp. Signature sequences specific for each Streptococcus framework sp. were identified. These signature motifs would be simple to use as a supplement to the automated identification process. Restriction analysis has proved to be an important tool to identify newly isolated strains [50–52] and can be exploited for describing new species . Multiple restriction enzyme usage is recommended for better resolution. Although it has been documented that closely related species cannot be distinguished solely on the basis of 16S rRNA gene, but exploring the internal features of this gene can be of definite use. Therefore researchers are now looking to explore the unique features of 16S rRNA gene that have not been explored yet [54, 55]. As already described the genus Streptococcus has been divided into different groups based on 16S rRNA gene similarity . The framework species used for these analyses belong to these different groups.
Four framework species- S. pyogenes, S. agalactiae, S. equi and S. dysgalactiae belong to pyogenic group which is the largest group of the genus Streptococcus. S. pyogenes, S. agalactiae, S. equi and S. dysgalactiae can be distinguished on the basis of specific signatures (Table 3) as well as using different restriction enzymes (Additional file 13, 14, 15, 16, 17, 18: Figures S13-S18).
Two framework species, S. pneumoniae and S. mitis belong to mitis group. Identification of members of mitis group, particularly S. pneumoniae is problematic. Identification of S. pneumoniae isolates is usually done using serological [56, 57] and molecular techniques [58–60]. S. pneumoniae isolates can be easily identified using the signature sequence as given in Table 3. We could easily distinguish S. pneumoniae isolates from S. mitis using this signature sequence. Other members of this group (S.mitis and S. oralis) that are almost indistinguishable on the basis of complete 16S rRNA gene sequence can be differentiated using different restriction enzymes. S. mitis can be distinguished from other two species of this group by using enzyme Sau 3AI. S. pneumoniae, S.mitis and S. oralis can be distinguished from each other by exploiting Alu I and Msp I (data not shown for S. oralis).
Framework species S. anginosus belongs to anginosus group. This group consists of only 3 species (S. anginosus, S. intermedius and S. constellatus). Members of anginosus group are also difficult to identify and distinguish. An identification scheme for differentiation of these 3 strains was proposed by Whiley et al. and Whiley and Beighton . Commercial identification systems [63, 64] and molecular methods have been used for identifying and distinguishing these three species [65, 14]. S. anginosus can be easily identified using the signature sequence (Table 3) and use of restriction enzymes. Restriction enzymes Alu I, BfaI, Rsa I and Hae III can be used for distinguishing members of anginosus group efficiently (data not shown for S. intermedius and S. constellatus).
Framework species, S. thermophilus belongs to salivarius group which is closely related to bovis group  and consists of only 3 species (S. salivarius, S. vestibularis, S. thermophilus). S. thermophilus can be identified by using unique signature sequence (Table 3).
Two framework species, S. bovis and S. gallolyticus belong to bovis group. Members of bovis group, S. bovis and S. gallolyticus are difficult to identify. Isolates of these two species can be distinguished using the signature specific for S. gallolyticus and S. bovis. Moreover, the use of restriction enzymes Alu I, Bfa I and Hae III can be instrumental in distinguishing them. The signature found for S. bovis was found to be efficient in distinguishing S. bovis from closely related species-S. lutetiensis. These two species are difficult to distinguish solely on the basis of 16S rRNA gene.
Framework species S. mutans and S. sobrinus belong to mutans group. These two species are also difficult to distinguish. Beighton et al. (1991)  provided a scheme for identification of S. mutans and S. sobrinus strains. In the present investigations these two can be easily distinguished using species-specific signature and use of restriction enzymes- Alu I, Bfa I, Hae III, Msp I, Rsa I and Sau 3AI.
The species that are difficult to distinguish solely on the basis of 16S rRNA gene sequence can be identified using inner secrets of 16S rRNA gene, the signatures. These signatures can be exploited for quick identification. The aim of phylogenetic framework construction is to define a range of genetic variability within the species and later exploiting this variability for identification of different isolates. Similarly, use of restriction enzymes help in generating markers that can distinguish closely related species. Present study reveals that the framework, use of specific signatures in 16S rRNA gene and pattern generated by different restriction enzymes can be exploited for identification of isolates belonging to the genus Streptococcus. The markers generated in the present study are based on 16S rRNA gene sequence which is conserved and neither subjected to changes due to culture conditions nor exhibit biochemical variability. Thus the scheme proposed can be applied to any isolate. The approach is cost effective and rapid way for identification of various isolates and thus can be used to differentiate isolates that are difficult to distinguish due to very close traits and biochemical features. Additionally the approach is simple for preliminary identification of a species and can supplement existing automated identification processes. But we should keep in mind that this is a simplified procedure and thus it is also important to know the limitations of such simplified approach.
DL and MV acknowledge research fellowship provided by CSIR.
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