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Molecular characterization and evaluation of the emerging antibiotic-resistant Streptococcus pyogenes from eastern India

BMC Infectious DiseasesBMC series – open, inclusive and trusted201616:753

https://doi.org/10.1186/s12879-016-2079-9

Received: 23 July 2016

Accepted: 29 November 2016

Published: 12 December 2016

Abstract

Background

Group A Streptococcus strains causing wide variety of diseases, recently became noticeable in eastern India, are not amenable to standard treatment protocol thus enhancing the possibility of disease morbidity by becoming antibiotic resistance.

Methods

The association of Lancefield group A Streptococcal variation with degree of vir architectural diversity was evaluated using emm typing and restriction fragment length polymorphism analyses. The antibiotic sensitivity patterns were examined by modified Kirby-Bauer method of disk diffusion. Percentage calculations, 95% confidence interval and one-way ANOVA were used to assess differences in proportions.

Results

Our observations revealed 20 different emm types and 13 different HaeIII vir typing patterns. A 1.2 kb fragment was found in all HaeIII typing pattern. Fragments of 1.2 kb and 550 bp were conserved in majority of the isolates. HinfI digestion was found proficient in differentiating the strains of same vir typing patterns. Strong predominance of speC (85%) and speF (80%) genes have been observed encoding exotoxins production. 4 isolates were found to be erythromycin resistant and were of genotype emm49. High degree of tetracycline resistance was shown by 53.57% isolates which belonged to 12 different emm genotypes.

Conclusions

These findings suggested that in addition to emm typing, sequential application of HaeIII and HinfI restriction enzymes in vir typing analysis is an effective tool for group A streptococcal molecular characterization associated with antibiotic resistance.

Keywords

Streptococcus pyogenes (GAS) emm typing vir typing Virulence regulon Restriction enzyme digestion Antibiotic sensitivity patterns Exotoxin gene

Background

Streptococcus pyogenes or Lancefield group A Streptococcus (GAS) is responsible for a diverse range of clinical manifestations. Acute infection causes pharyngitis, impetigo, scarlet fever, cellulitis, acute bacterial endocarditis and necrotizing fasciitis. Ineffective or delayed treatment, and infection with drug-resistant bacteria eventuates in chronic immune-mediated disorders such as acute rheumatic fever (ARF) and acute glomerulonephritis (AGN) with attended morbidity and mortality worldwide [16].

The fast emergence of antimicrobial resistance amongst S. pyogenes therefore needs molecular characterization of the newly variant strains. The conventional M serotyping is cumbersome, less effective and demand preparatory requirements [7, 8]. A large number of S. pyogenes isolates remains M untypable by the available present range of high titre antisera [911]. Alternative techniques used for emm and vir typing are favored. emm typing is based on sequence analysis of emm gene [8], that encodes for the major virulence factor M and M-like proteins while vir typing is based on amplification of virulence regulon-specific polymerase chain reaction (PCR) amplicon followed by restriction fragment length polymorphism (RFLP) [12].

Different reports have shown a fair prevalence of GAS infections among children [6, 13, 14] and strain variations among the GAS isolates [15, 16]. A sudden world-wide increase in antimicrobial resistance in S. pyogenes has been observed during the last few years [17, 18]. Macrolide resistance among GAS has been widespread [19, 20] possibly linking to the spread of a particular clone by selection pressure due to random usage of macrolides [21]. Recent reports on tetracycline resistance identify the ineffectiveness of this drug against infections with GAS [2226]. Streptococcal pyrogenic exotoxins act as super antigens and stimulate lymphocyte activation to induce fever and extensive proliferation with the consequent massive release of cytokines [27]. Fibronectin binding proteins are considered as major Streptococcal adhesins and amongst them fbp54 is expressed in human host environment [28].

Reports on Streptococcal pyrogenic exotoxin genes and fibronectin binding protein gene expression in noninvasive infections are relatively few from India. The present study tries to establish the correlation of the GAS genotypic variation with the changes in molecular patterns of virulence regulon, antibiotic resistance and expression of pyrogenic exotoxins and fibronectin binding protein genes.

The isolates have been characterized with HaeIII, HinfI and XhoI restriction fragment length polymorphism to evaluate their applicability in vir typing analysis following methodology by Gardiner et al. [9, 12].

Methods

Isolate selection

The patients presenting with sore throat, different skin lesions and on clinical examination found to be suffering from pharyngitis and/or tonsillitis and pyoderma were selected for study. Samples were collected before administering any antibiotic therapy.

Patient recruitment

Study patient samples belonged to four age-groups:
  1. Group I

    1 month to 3 years [infants]

     
  2. Group II

    4 years to 15 years [school-aged children]

     
  3. Group III

    16 years to 45 years [adults]

     
  4. Group IV

    >45 years [middle as well as old age groups]

     

Detailed clinical history, which includes types of throat infections and skin infections, the period of suffering, was recorded. Age, sex, home address and other information of the patients were recorded. S. pyogenes was isolated from the samples at the Department of Biochemistry of Dr. B C Roy Post Graduate Institute of Basic Medical Education and Research (IPGME&R), Kolkata.

Collection of samples from sore throat patients

Samples for throat culture were obtained by swabbing the patient’s posterior part of upper respiratory tract with a sterile cotton swab.

Collection of samples from patients with skin infections

Pus samples were collected using a sterile swab stick from ulcerative lesion of pyoderma infections. In case of unopened abscess pus was collected by aspiration.

We got very insignificant number of S. pyogenes isolates (two isolates) from throat samples. Therefore we have summarized and interpreted our observations in respect to non-sever infections which include sore throats and pyoderma/ impetigo. It has been done to avoid any bias that might occur during interpretation of the results.

Sample isolation and storage

Samples were inoculated in 5% sheep blood agar and incubated at 37 °C for 24–48 h. β- hemolytic colonies were selected and screened by Gram staining, bacitracin susceptibility test, catalase test, and finally confirmed as Group A Streptococcus by Latex agglutination test using a Streptex kit (Remel, UK). Isolates were stored at −80 °C in Brain Heart Infusion Broth containing 30% glycerol.

emm typing analysis

emm typing is based on sequence analysis of emm gene encoding for serotype specific M-protein. Genomic DNA was prepared by phenol-chloroform method [29] from bacteria obtained by touching the tips of β-hemolytic single colonies, obtained by subculture from overnight broth culture (BHI broth, Hi-media, Mumbai, India), to avoid contamination in growth in liquid medium. Bacterial cells were treated with mutanolysin and lysozyme solution for 1 h at 37 °C. For emm typing analysis, gene was amplified by “all M” primers [15, 30], using PTC150 (MiniCyclerTM, MJ Research) thermal cycler. PCR amplicon of about 1.4 kb was then sequenced with the forward primer (5′ ATAAGGAGCATAAAAATGGCT 3′). Sequencing was done commercially (Chromous Biotech Pvt. Ltd., India). The sequence was subjected to homology search by Blast search analysis (http://www.cdc.gov/ncidod/biotech/strep/ strepblast.htm). Pair-wise comparison of the nucleotide identities of the first 180 to 200 bases of the N-terminal hypervariable region was conducted and strains which showed ≥ 95% homology with the reference strains were assigned the particular parental emm type [15].

vir typing analysis

vir typing is based on amplification of virulence regulon that encode for different GroupA Streptococcal virulent proteins. Amplification of vir regulon specific PCR amplicon was performed by VUF and SBR primers, as described by Gardiner et al. [12], with few modifications. PCR amplification was carried out in a 50 μl reaction mixture containing 5 μl of template DNA, 1U of TaKaRa LA Taq polymerase, LA PCR Buffer II, 2 mM MgCl2, 200 μM of each of dATP, dGTP, dCTP and dTTP, 1 μl of each 20 μM primers. Cycling conditions were modified to include a final extension at 72 °C for 7 min. Then 5 μl of PCR product was electrophoresed on 0.8% agarose gel to check the quality as well as the quantity of the amplicon. RFLP was carried out in 30 μl reaction containing 0.5 μg (10-15 μl) PCR product, RE buffer, 2U of HaeIII / HinfI / XhoI restriction enzyme from NEB [9, 12]. Digestion was carried out for 1 h 30 min. Digests were electrophoresed on 1% agarose gel and band patterns were analyzed by visual comparison.

Identification of toxin and fibronectin-binding protein genes

Sequences specific for speA, speB, speC, speF and fbp-54 were detected with the primers documented by earlier workers [31]. The primer sequences, annealing temperature and amplicon sizes are given in Table 1. Amplification of all genes was carried out under the following conditions: an initial 5 min denaturation step at 96 °C, followed by 30 cycles of denaturation at 96 °C for 55 s, 65 s of annealing at the appropriate temperature for each gene (Table 1), and 70 s of extension at 72 °C, with a final extension step at 72 °C for 5 min. All PCR products were electrophoresed on 1.5% agarose gels. φX174 DNA ladder (GeNeiTM) and 100 bp Gene ruler (Fermentus) were used as molecular marker.
Table 1

Sequences of the PCR primers

Target gene

Primer sequence (5′-3′)

Annealing temp (°C)

Amplicon size (bp)

Reference

speA

FW-5΄-TAA GAA CCA AGA GAT GG-3΄

RV-5΄-ATT CTT GAG CAG TTA CC-3΄

44

248

Vlaminckx et al., [31]

speB

FW-5΄-AAG AAG CAA AAG ATA GC-3΄

RV-5΄-TGG TAG AAG TTA CGT CC-3΄

42

955

spec

FW-5΄- GAT TTC TAC TTA TTT CAC C-3΄

RV-5΄-AAA TAT CTG ATC TAG TCC C-3΄

42

584

speF

FW-5΄- TAC TTG GAT CAA GAC G-3΄

RV-5΄-GTA ATT AAT GGT GTA GCC-3΄

42

782

fbp-54

FW-5΄-CTT CAG AAT CTG TTT CTT TG-3΄

RV-5΄-AGT TCA CAG GTT GTC TAT TG-3΄

48

595

Determination of antibiotic susceptibility

The antibiotic sensitivity of all GAS isolates were tested by the modified Kirby-Bauer method, matching inoculum turbidity to McFarland 0.5 [32], on Mueller-Hinton agar with 5% sheep blood using penicillinG (10unit), cefotaxime (30 μg), erythromycin (15 μg), vancomycin (30 μg), tetracycline (30 μg) and clindamycin (2 μg) [HiMedia, India] disks. Results were interpreted according to Clinical and Laboratory Standards Institute (CLSI) guidelines provided by the CLSI, 2012, as per manufacturer’s instructions [33]. Streptococcus pyogenes ATCC19615 strain was used as control.

Statistical analysis

Majority of counts have been summarized by percentages, key proportion has been expressed within 95% confidence interval. Statistical analysis was done using one-way ANOVA. P value with P < 0.05 was considered significant, a difference with P < 0.0001 was considered highly significant.

Results

Isolation of Streptococcus pyogenes and emm genotype diversity

Samples were collected from tertiary referral health care hospitals in Kolkata. As these are the most important referral Government hospitals, a large number of patients from different community attend these hospitals. Prior informed consent and clearance from institutional ethical committee were obtained. Samples were collected from patients attending skin and E.N.T OPD of Seth Sukhlal Karnani Memorial Hospital (SSKM) hospital and Calcutta National Medical College & Hospital, from 2009 to December, 2011.

Detailed analysis of isolates from 270 cases identified 140 (51.8%) as GAS expressing interpretable emm types. These isolates represented 20 different emm types, indicating 14.28% heterogeneity. The sizes of the amplicon were around 1.4 kb. The most common emm types among the obtained emm types was emm49 (Additional file 1) (17.85%), followed by emm25 (Additional file 2) (12.14%), emm77 (10.71%). The observed frequency for each of emm9, emm80, emm92 and emm81 was 6.42%. Others were found in very low percentages (Fig. 1a).
Fig. 1

Distribution of different emm types (a) and HaeIII vir types (b) among isolates. 140 isolates yielded interpretable emm types and HaeIII vir types. Genomic DNA was prepared using the phenol-chloroform method. emm gene was amplified by “all M” primers and further sequenced with “all M” forward primer. The sequences were subjected to homology search by Blast search analysis (http://www.cdc.gov/ncidod/biotech/strep/ strepblast.htm) as described in Methods. GAS isolates represented 20 different emm types. The most predominant emm types found were emm49 (17.85%), followed by emm25 (12.14%), emm77 (10.71%). emm9, emm80, emm92 and emm81 was observed in 6.42%. Rests were found in very low percentage (a). vir regulon specific amplicon was amplified by VUF and SBR primers and resolved on 0.8% agarose gel. RFLP was further carried out using HaeIII restriction enzyme and products were resolved on 1% agarose gel. Out of 13 HaeIII vir types, the most commonly found vir type was VT8 (27.14%), followed by VT4 (17.14%), VT3 (11.4%), VT12 (10%) and VT7 (8.57%) (b)

Regarding correlations of emm typing with age groups, our observations revealed that infants (1 month–3 years) were frequently infected by emm49 (75%; P value <0.0001), whereas 18.7% school aged children (group II) were affected by emm25 (P value =0.0004), followed by emm92 genotype (14.5%; P value =0.001). A few emm strains were found in adults belonging to group III (15.6% of emm77; P value =0.008), and middle or old aged patients in group IV (16.6% of emm9, emm25 and emm11 each; P value =0.0004) (Fig. 2).
Fig. 2

Distribution of different emm types among age groups. Patient samples were categorized in four age-groups as mentioned in Methods. Genomic DNA was prepared using the phenol-chloroform method. emm gene was then amplified by “all M” primers and further sequenced with “all M” forward primer. The sequence obtained was then subjected to homology search by Blast search analysis (http://www.cdc.gov/ncidod/biotech/strep/ strepblast.htm). Distribution of different emm types among age groups was expressed in percentages as described in Methods. emm types of group A streptococci isolated from different age groups revealed that infants (1 month–3 years) are frequently infected by emm49 (75%), school-going children (group II) are primarily affected by emm25 (18.7%) and emm92 (14.5%). A few emm strains were detected in adults (group III, 15.6% of emm77) and middle or old aged patients (group IV 16.6% of emm9, emm25 and emm11 each). Asterisks indicate a statistically significant correlations (****P < 0.0001, ***P = 0.0004 and **P = 0.001, 0.008)

vir typing patterns diversity

In the present study, 13 different vir types among 140 isolates (9.2%) were observed. vir types had been identified by RFLP with HaeIII restriction enzyme. All isolates were typeable with HaeIII enzyme, showing 3–7 bands ranging from 200 bp to 4 kb. The isolates showed a common band at 1.2 kb, and majority of isolates shared fragments at around 200 bp and 550 bp (Fig. 3). Out of 13 different vir types, the most commonly found vir type was VT8 (27.14%), followed by VT4 (17.14%), VT3 (11.4%), VT12 (10%) and VT7 (8.57%). In our study VT1 represented the reference strain type of ATCC 19615 (Fig. 1b).
Fig. 3

1% Agarose gel containing RFLP profile (vir type) of HaeIII digested PCR products. Genomic DNA was prepared using the phenol-chloroform method. vir regulon specific amplicon was amplified by VUF and SBR primers and resolved on 0.8% agarose gel. RFLP was further carried out as described in Methods using HaeIII restriction enzyme and products were resolved on 1% agarose gel. Lane 1 = 10 kb Super mix marker; Lanes 2-14 = VT1- VT13

On comparing emm genotype with HaeIII vir typing patterns, it was found that emm49, emm25, emm80, emm12 matched with co-existence of VT8, VT3, VT1 and VT4 respectively. In contrast, VT8 was also associated with emm65, emm11, emm77, and VT12 with emm92 and emm9. VT3 pattern was observed both in emm25 type and emm25.1 subtype. On the other hand, emm81/ emm81.1 were noted with VT11 and VT9 respectively, and emm1/ emm1.1 with VT6, VT10 respectively (Table 2).
Table 2

Comparison of emm typing/HaeIII vir typing/ HinfI vir typing of GAS isolates

emm type

Corresponding HaeIII vir types

Corresponding HinfI vir types

emm1

VT6

VT1

emm1.1

VT10

VT14

emm9

VT12

VT4

emm11

VT8

VT8

emm12

VT4

VT2, VT6,VT7, VT18

emm25

VT3

VT5

emm25.1

VT3

VT11

emm41

VT6

VT17

emm43.3

VT7

VT18

emm49

VT8

VT3,VT4

emm55

VT2

VT9,VT20

emm65

VT8

VT16

emm77

VT8

VT3,VT12

emm80

VT1

VT15, VT19

emm80.1

VT5

VT10

emm81

VT11

VT21

emm81.1

VT9

VT13

emm92

VT12

VT4

emm106

VT8

VT4

emm112.2

VT13

VT4

The second restriction enzyme HinfI, documented 21 different vir typing patterns (VT1-VT21). HinfI digestion was found to generate 6–10 bands, which were around 250 bp to 2 kb (Fig. 4a & b). HinfI was found to generate same or different typing patterns for the isolates those producing identical HaeIII typing patterns. In comparing the typing patterns of HaeIII and HinfI digestions, HinfI enzyme was found to discriminate VT8 HaeIII digestion type into five more subtypes (VT3, VT4, VT8, VT12, and VT16), VT4 HaeIII type into another four more subtypes (VT2, VT6, VT7, VT18) and each of VT1, VT2, VT3 into two more subtypes (Table 2).
Fig. 4

1% Agarose gel containing RFLP profile (vir type) of HinfI digested PCR products. Genomic DNA was prepared using the phenol-chloroform method. vir regulon specific amplicon was amplified by VUF and SBR primers and resolved on 0.8% agarose gel. RFLP was performed using HinfI restriction enzyme and the products were resolved on 1% agarose gel. Lane 1 = 10 kb Super mix marker; Lanes 2-10 = VT1 - VT9 ; Lane11 = 100 bp marker (a). Lane 1 = 10 kb Super mix marker; Lanes 2-13 = VT10 -VT21; Lane 14 = 100 bp marker (b)

In our study, the third restriction analysis by digestion with XhoI recognized 6 different typing patterns (VTi-VTvi), with fragments around 1 to 6 kb among 140 isolates (Fig. 5). Study showed the most frequent VT patterns by XhoI digestion were 34.28, 14.99, and 12.85% for VTv, VTiii and VTiv respectively. VTvi, showing only a minor band, was found in 24.99% isolates.
Fig. 5

1% Agarose gel containing RFLP profile (vir type) of XhoI digested PCR products. Genomic DNA was prepared using the phenol-chloroform method. vir regulon specific amplicon was amplified by VUF and SBR primers and resolved on 0.8% agarose gel. RFLP was performed using XhoI restriction enzyme and the products were resolved on 1% agarose gel. Lane 1 = 10 kb Super mix marker; Lanes 2-7 = VTi- VTvi

Identification of exotoxin and fibronectin-binding protein genes

Study highlighted that only 6 (4.2%) isolates was found to contain speA gene, whereas majority of isolates contained speC (85%) and speF (80%) genes. The rate of occurrence of speB and fbp-54 genes was 58 and 30%, respectively.

Evaluation of antibiotic susceptibility patterns of S. pyogenes

In the present study, isolates were found highly sensitive (76.42%) to penicillin with 23.57% of intermediate susceptibility. Erythromycin sensitivity was very high (88.57%), and only 4 (2.85%) found resistant (95% CI-0.09%–05.61). All isolates were susceptible to vancomycin and clindamycin. Cefotaxime sensitivity was very high (91.42%) with only 8.57% of isolates showing intermediate sensitivity. By contrast, resistance (53.57%) and intermediate resistance (21.42%) to tetracycline were high (Table 3).
Table 3

Antibiotic susceptibility patterns of S. pyogenes

Sl No.

Antimicrobial agent (amount/disk)

Patterns of susceptibility (in percentage) with respect to diameter of zone of inhibition in mm

Resistant

Intermediate

Sensitive

1.

PenicillinG (10unit)

-

33 (23.57%)

107 (76.42%)

2.

Erythromycin (15mcg)

4 (2.85%)

12 (8.57%)

124 (88.57%)

3.

Cefotaxime (30mcg)

-

12 (8.57%)

128 (91.42%)

4.

Vancomycin (30mcg)

-

-

140 (100%)

5.

Tetracycline (30mcg)

75 (53.57%)

30 (21.42%)

35 (24.99%)

6.

Clindamycin (2mcg)

-

-

140 (100%)

Correlation of antibiotic susceptibility patterns with emm typing

Relation between emm types and antibiotic sensitivity patterns was evaluated for studying their correlations. Strain emm43.3 and emm9 were found to be sensitive to all six antibiotics. Three children and one adult showing erythromycin resistance cases were of genotype emm49. Out of 20 emm types documented, 12 emm types were found responsible for tetracycline-resistance (Table 4).
Table 4

Association between emm types and antibiotic sensitivity patterns

Sl No.

Antimicrobial agent

Susceptibility of emm types

Sensitive

Intermediate

Resistant

1.

PenicillinG

emm-25, 25.1, 49, 80, 9, 11, 81, 81.1, 43.3, 106, 41, 92, 77, 55, 1

emm-112.2, 25, 49, 81, 1.1, 65, 80.1, 12

-

2.

Cefotaxime

emm-25, 25.1, 49, 80, 80.1, 9, 11, 81, 81.1, 106, 41, 43.3, 92, 77, 55, 1, 1.1

emm-25, 49, 81, 12, 112.2, 65

-

3.

Erythromycin

emm-43.3, 25, 25.1, 49, 80, 80.1, 9, 11, 12, 81, 81.1, 106, 41, 92, 77, 55, 1, 1.1

emm-49, 112.2, 65, 1

emm-49

4.

Clindamycin

emm-25, 25.1, 49, 43.3, 80, 80.1, 1, 1.1, 9, 11, 12, 81, 81.1, 106, 41, 92, 77, 55, 112.2, 65

-

-

5.

Tetracycline

emm-25, 43.3,49, 9, 77, 80.1, 81, 65

emm-25.1, 80, 49, 81, 81.1, 12

emm-1, 1.1, 41, 55, 81, 81.1, 77, 49, 11, 106, 112.2, 92

6.

Vancomycin

emm-25, 25.1, 49, 43.3, 80, 80.1, 1, 1.1, 9, 11, 12, 81, 81.1, 106, 41, 92, 77, 55, 112.2, 65

-

-

Discussion

In the present study, the emm and vir type diversity among GAS isolates obtained from different patients was analyzed. Reports by earlier workers documented 57.5, 19.71 and 40% heterogeneity with emm49, emm77 and emm74 genotypes to be the most prevalent types respectively [15, 34, 35]. In another study, 32.35% heterogeneity was reported [16]. A Norweigian study revealed 44% variation with emm1 to be the most prevalent genotype [36]. In a recent outbreak of GAS infections, the most uncommonly reported emm type 58 was shown to be most frequent isolate [37].

In present study, emm typing resulted in 14.28% heterogeneity in the isolated GAS strains which is indicative of lower strain variation in this context. The most detectable type found was emm49 (17.85%). Thus different values of heterogeneity in the isolates were observed by the present and earlier investigators, might be due to variation of prevalent strains in different geographical regions having different climatic conditions. It could possibly be predicted that the genetic heterogeneity could be temperature and humidity dependent, however this fact requires a complete different investigation. The results of this study demonstrated some emm types and their subtypes, like emm81/emm81.1, emm25/emm25.1 and emm1/emm1.1, emerged due to point mutation, reflecting in the origin of N-terminal emm sequence variability and implying the importance of emm strain typing (sequencing data not shown).

As children are more susceptible to GAS infections [3840], and as associated emm-types and clinical presentations are influenced by population immunity and strain tropism [41], the emm distribution patterns in relation to patient’s age, the children in particular, are significant. In this study occurrence of S. pyogenes infection was found average. As children are more susceptible to GAS infections with attendant life-threatening remote sequelas (RHD and AGN) as well, it is believed that the dominance of emm49 as well as other frequently occurring emm types in infant and children needs an independent and systematic study on association of immunological parameters with emm types.

Vir typing measures the changes in the region of the genome that determines major virulence factors that are involved in anti-phagocytic activity, attachment, colonization and in avoiding recognition by the immune systems [12]. The HaeIII vir typing patterns in the present study were found dissimilar to other reported typing patterns. So we assigned our own VTs to analyze the typing patterns of the isolates from eastern region of India. We screened 13 vir types from 140 isolates by HaeIII digestion, which accounted 9.28% diversity in GAS isolates. Here we observed that vir types were entirely different from the reported typing patterns of Australia, Romania and northern India. HaeIII vir typing patterns of Australian GAS isolates produced 4 to 8 fragments ranging from 200 bp to 4 kb, where 1.4 kb, 500 bp, and 275 bp were found common in the isolates tested [9]. vir typing patterns of Romania yielded 2 to 8 fragments ranging from 100 bp to 4.2 kb with a common fragment at 1.2 kb [42]. Reports from north India showed 4 to 6 fragments varying from 300 bp to 5 kb where 300 bp, 550 bp and 1.2 kb were common for the majority of isolates [15]. We found 3 to 7 fragments of 200 bp to 4 kb and a 1.2 kb fragment was found common to all isolates. The majority of isolates shared the fragments of around 200 bp (81.42%) and 550 bp (87.85%). On comparing our present findings with those previous observations, a 1.2 kb fragment was found common in most of the study regions (except Australian typing patterns). In India, in addition to 1.2 kb, a 550 bp was also found common to the majority of isolates. Thus, these two segments of the virulence regulon of S. pyogenes remain conserved in Indian strain types.

The overlaps between emm and vir typing showed that one specific emm type was always represented by one particular vir type whereas one vir type was shared by more than one emm types. However, in two cases, different VTs were obtained for isolates of one emm type and its subtype. This finding supports the concept that the heterogeneity demonstrated by vir typing is primarily due to variations among emm genes rather than diversity in the architecture of the vir regulon [9] and thus, an insertion or deletion of one or more nucleotide not only categorizes a specific emm type into its subtypes but also changes the expression of its virulence regulon. Thus vir typing analysis is found more informative than emm typing, regarding architectural variation of virulence regulon conferring the virulence on S. pyogenes.

Furthermore the use of the second restriction enzyme HinfI appeared to be very useful in discriminating HaeIII typed isolates, which supports the concept of Gardiner et al. [9]. In the present study, though HinfI was found proficient in distinguishing the isolates of the same HaeIII vir types and also generate more fragments comparing HaeIII but it did not generate any conserved fragments, unlike HaeIII digestion. Therefore, successive use of these two enzymes can be a tool for vir typing analysis. XhoI digestion produced fewer fragments and was less informative.

In order to study the strain characteristics contributing to virulence patterns, the isolates were evaluated for the presence of different toxin and fibronectin binding protein genes. Extracellular proteins that reportedly play a role in the pathogenesis of GAS are represented by streptococcal exotoxins, a few of which have superantigenic properties that allow them to activate large subsets of T cells, with massive cytokine release as a consequence [31]. Previous report from India showed lower incidence of speA gene (5.8%) and higher incidence of speB and speF gene (92.3, 86.5%) in noninvasive infection [43]. In contrast, the current study showed speA gene less contributing for GAS infections, whereas the observed predominant occurrence of speC and speF genes strongly suggest their association with incidence of infections. Association of SpeB and fbp-54 genes was noticed in less number of cases and probably partly contributes towards virulence. It is of considerable interest to study the correlation of these exotoxin gene expressions with cytokines activation in this region by further study.

Another important aspect of this study is GAS antibiotic sensitivity patterns and their correlation with emm genotyping. Penicillin has been used routinely for treating GAS infections for over 50 years, and yet GAS has remained penicillin susceptible [44, 45]. Since penicillin may be given at higher doses without ill effects, the observed intermediate sensitivity in our study may have less impact. A study from north India [7] showed diminished susceptibility in 20.6% of strains which is in support of our observation but contrast to previous reports of 100% susceptibility [46, 47]. Erythromycin resistance and therapeutic failure have been observed to be on the rise worldwide due to their increased medicament [4850]. In this study, sensitivity to erythromycin was found very high. The observed erythromycin resistant cases were though small in number, but alarming in this region as these were obtained mostly from children, and erythromycin is the 1st alternative drug of choice for penicillin hypersensitive patients as well. Interestingly, all four erythromycin resistant strains were of genotype emm49, suggesting that the genotype’s association with the emerging erythromycin-resistance in this region. Association of erythromycin resistance and emm typing has been documented earlier. emm12 from Korea and Japan [51], emm12 and emm75 from Pittsburgh [52], emm90 from Hawaii [53], emm 4, emm 28, and emm 77 from Western Greece [54] showed strong association with erythromycin resistance. In present study, association is different from earlier workers as emm49 was constantly associated with the erythromycin resistance. In spite of clindamycin resistance report [55] earlier, all isolates of present study were found sensitive to clindamycin and vancomycin. High tetracycline resistance among S. pyogenes isolates have been reported from different parts of the World [22, 44, 56, 57]. In the present study, high percentage of resistance was shown by tetracycline, which is in corroboration with the previous findings. 14 and 28 different tetracycline-resistant emm types were identified in studies from Spain and Tunisia, respectively [58, 59]. Present study identified 75 tetracycline-resistant isolates, belonging to 12 different emm genotypes. These findings indicated that for study of different regions, S. pyogenes strains are approaching tetracycline-resistance, attributable to modifications in tet (M) gene commonly associated with the conjugative transposon Tn916 [59].

Conclusion

The findings in this study highlight a novel vir-emm correlative dual genotyping analysis with implications in the development of a universally effective vaccine and a new diagnostic tool. speC and speB exotoxins may have important contribution to noninvasive Streptococcal infections. Observations on antibiotic sensitivity patterns emphasized the need for continued monitoring of antibiotic sensitivity and genotyping of S pyogenes for reducing the burden of antibiotic resistance.

Abbreviations

AGN: 

Acute glomerulonephritis

ARF: 

Acute rheumatic fever

BHI broth: 

Brain heart infusion broth

CLSI: 

Clinical and Laboratory Standards Institute

E.N.T. OPD: 

Ear nose and throat outpatient department

GAS: 

GroupA Streptococcus

PCR: 

Polymerase chain reaction

RFLP: 

Restriction fragment length polymorphism

RHD: 

Rheumatic heart disease

S. pyogenes

Streptococcus pyogenes

Declarations

Acknowledgments

We would like to thank all of the patients who participated in this study. The Director of IPGME&R is gratefully acknowledged for providing space and other infrastructural facilities. We are also thankful to Dr. Bhaskar Saha (National Centre for Cell Sciences, Pune, India), Mr. Sanjoy Ghosh and Miss. Shatabdi Ghosh for critical review of the manuscript.

Funding

This work was supported by Indian Council of Medical Research, Government of India (Sanction No. 5/4/1-3/07-NCD-II Dated 30.03.09).

Availability of data and materials

All data sets supporting our findings are found in main manuscript and also available from the corresponding author on reasonable request. The sequencing data of emm genotyping study are available in supporting documents. Patients’ data will remain de-identified to keep their privacy.

Authors’ contributions

Conceived and designed the experiments: BB and DR. Performed the experiments: DR. Contributed reagents/materials/analysis tools: BB, NKP, SSaha and SSinha. Analyzed the data: DR. Wrote the paper: DR and BB. All authors read and approved the final manuscript.

Competing interests

In the past five years neither any organizations lose financially from that publication of this manuscript nor have any other financial competing interests. The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

The present study content and procedures were approved by the Institutional Ethics Committee of the Institute of Post-Graduate Medical Education and Research (IPGME&R), Kolkata, India (Ref. no.-Inst/IEC/1833).

Written informed consent forms were collected from each patient before the interview and sample collection for the study. In case of children, written consents were collected from their legal guardian. Patients were free to refuse participation without affecting their treatments.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Biochemistry Research Wing, Department of Biochemistry, Dr. B C Roy Post Graduate Institute of Basic Medical Education and Research (IPGME&R)
(2)
Health and Family Welfare Department, Directorate of Medical Education, Government of Tripura
(3)
Nil Ratan Sarkar Medical College and Hospital
(4)
The West Bengal University of Health Sciences

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