|Year : 2017 | Volume
| Issue : 4 | Page : 575-579
Genetic diversity and allelic variation in south Indian isolates of Group A streptococci causing invasive disease
Reena Rajkumari1, John Melbin Jose2, Kootallur Narayanan Brahmadathan3
1 Division of Integrative Biology, School of Bio-Sciences and Technology, VIT University, Vellore, India
2 Department of Microbiology, Christian Medical College, Vellore, India
3 Microbiological Laboratory, Coimbatore, Tamil Nadu, India
|Date of Web Publication||1-Feb-2018|
Dr. Kootallur Narayanan Brahmadathan
Microbiological Laboratory, 12A Cowley Brown Road, R. S. Puram, Coimbatore - 641 002, Tamil Nadu
Source of Support: None, Conflict of Interest: None
Background: Reported literature on invasive group A streptococcal isolates in India is very scanty. This study was undertaken to determine the molecular heterogeneity of such isolates as seen in a tertiary care center. Materials and Methods: Thirty two blood culture isolates and 18 from other sterile body fluids were characterized by emm gene sequencing and multilocus sequence typing. Results: Forty two emm types were identified including 25 from 32 blood isolates and 17 from 18 other body fluid isolates. Types 110, 74, 63, 85, 102, 105, 124 and st854.1 were common to both groups and accounted for 40% of the isolates. Two types namely, stKNB6 and stKNB9 were newly identified types. MLST identified forty eight sequence types (MLST - ST) of which 31 were from 32 blood isolates and 17 from 18 body fluid isolates; thirty three of them were hitherto unrecognized at the time of identification. Two blood isolates of emm 85 had the same MLST - ST 484 while three blood isolates of emm 110 had three different STs namely, ST 493, 494 and 497. Two types, ST 493 and ST497 had single locus variation while ST 497 had a double locus variation. Conclusions: Our study shows that subtle allelic variations in the house keeping genes results in the development of new strains in a given emm type and contribute significantly to the existing high diversity of strains circulating in the community.
Keywords: Allelic variation, emm types, invasive Group A streptococcus, multilocus sequence typing – sequence type, molecular epidemiology
|How to cite this article:|
Rajkumari R, Jose JM, Brahmadathan KN. Genetic diversity and allelic variation in south Indian isolates of Group A streptococci causing invasive disease. Indian J Med Microbiol 2017;35:575-9
|How to cite this URL:|
Rajkumari R, Jose JM, Brahmadathan KN. Genetic diversity and allelic variation in south Indian isolates of Group A streptococci causing invasive disease. Indian J Med Microbiol [serial online] 2017 [cited 2020 Jun 4];35:575-9. Available from: http://www.ijmm.org/text.asp?2017/35/4/575/224433
| ~ Introduction|| |
Group A streptococcus (GAS), also known as Streptococcus pyogenes, is a significant global pathogen capable of causing uncomplicated primary infection, debilitating post-streptococcal sequelae and fatal invasive disease. While non-suppurative complications are major problems in the developing world, invasive GAS (iGAS) disease is of concern in the Western countries., Although timely antibiotic prophylaxis can prevent later complications, non-compliance to treatment is an issue in their prevention in many countries of the world. Therefore, development of an appropriate vaccine is an alternate choice for the control and prevention of both non-suppurative sequelae as well as iGAS disease.
Typing of GAS helps in the identification of diversity or clonality of GAS strains which will help in the design of an appropriate GAS vaccine. For many years, this was done by conventional M typing based on antigenicity of the hypervariable region of M protein molecule. This was cumbersome because of difficulty in preparing M antisera and was later replaced by sequencing of emm gene through amplification of the hypervariable region of this gene. Using this method, >200 emm types have been identified globally till date. Since M protein induces type-specific protective immunity, vaccines based on this molecule have attracted a lot of attention. Identification of their distribution will help to determine if such M-based vaccine will be effective in different populations.
Multilocus sequence typing (MLST) is a method to study genetic variation of bacteria by studying allelic variations in housekeeping genes. In case of GAS, this is done through amplification of internal fragments of the seven housekeeping genes that code for enzymes necessary for the viability of the cell. Following amplification, the sequences are aligned, analysed, edited and trimmed exactly to the respective allele of each primer. Single locus query or multiple locus options available at http://spyogenes.mlst.net determines an allele number for each sequence trimmed and pasted for all seven loci of a test strain into the corresponding boxes. The sequence of each fragment is compared with all previously identified sequences at that locus available in the gene bank. If the sequence corresponds to a known allele, a number is given to that sequence. If the sequence is a new allele, it will be compared with the most similar allele for that locus to check for nucleotide differences and if new, forward and reverse sequences are submitted to the database at firstname.lastname@example.org. If new sequence is found, a new number is given and added to the database. The combination of seven allele number forms the allelic profile of the strain. Each profile is known as a sequence type (ST). The MLST database is available at http://www.mlst.net.
| ~ Materials and Methods|| |
Fifty iGAS isolates including 32 blood culture isolates and 18 from other sterile body fluids were selected for the study. The latter included isolates from peritoneal fluid (n = 6), cerebrospinal fluid (n = 5), pleural fluid (n = 4) and one each from fluid from necrotising fasciitis, bile fluid and synovial fluid. Invasive isolates were defined as those recovered in pure culture from blood and other sites which are otherwise sterile.
Isolates were subjected to emm typing and MLST by amplification techniques. The emm typing was carried out by the Centers for Disease Control (CDC) protocol and as standardised in our laboratory. Briefly, multiple colonies were immersed in 300 μl of normal saline, centrifuged and suspended in 50 μl of TE containing 300 IU of mutanolysin and 30ug/ml of hyaluronidase. The Final lysate was prepared after incubation at 37°C for 30 min and heating at 100°C for 10 min. The extracted DNA was amplified using 20 μl master mix (TAQPCR CORE KIT, Qiagen, Hilden, Germany) that contained 0.4 μl each of forward (TATT(C/G)GCTTAGAAAATTAA) and reverse (GCAAGTTCTTCAGCTTGTTT) primers (Sigma-Aldrich, Bangalore). After pre-and post-sequencing clean-up, DNA was subjected to sequencing with Big Dye Terminator Kit in an ABI prism 310 automated sequencer (Applied Biosystems, Warrington, UK). The emm gene sequence was searched for homology by BLAST search analysis (http://www.ncbi.nlm.nih.gov/BLAST/Blast.cgi) through CDC website (http://www.cdc.gov/ncidod/biotech/strep/strepblast.htm). Strains showing >95% sequence homology with the reference strain in the CDC Gene Bank database were selected and designated particular parental emm type. For subtype assignment, database of trimmed 180 base entries corresponded to the first 50 residues of the mature M protein and the adjacent 10 C terminal residues of the signal sequence. If a perfect 180/180 match was obtained to an entry from the type-specific BLAST option, the subtype was reported to be correctly identified. If a perfect match to bases 31–180 is combined with 3 or fewer mismatches to bases 1–30 was found, this also indicated identification of the specific subtype. If there was any mutation in the sequence corresponding to the first 50 residues of the mature protein, it was considered as a new subtype.
MLST was carried out using primers for seven housekeeping genes [Table 1]. They are internal fragments of the following enzymes whose primers are as follows (Sigma-Aldrich, Bangalore).
DNA extraction was done using a commercial kit (Ql Aamp DNA BLOOD mini kit, Qiagen, Hilden, Germany) as described above. Fifty μl of master mix was prepared from the extracted DNA was used for amplification using each of the above seven sets of primers using the commercial kit (TAQ PCR CORE KIT, Qiagen, Hilden, Germany) as described above. The PCR parameters were 95°C for 5 min, followed by 95°C for 1 min, 55°C for 1 min, 72°C for 1 min and 72°C for 5 min for 28 cycles. The amplified products were prepurified and checked for purity by gel electrophoresis. The sequence of each fragment was obtained using the respective primers used in the initial amplification. As stated earlier, the ST was identified at http://spyogenes.mlst.net, email@example.com. and http://www.mlst.net. Strains with new alleles and ST were submitted to the database and given new numbers and STs. This study was approved by the Institutional Research Committee of the Christian Medical College, Vellore, Tamil Nadu.
| ~ Results|| |
Forty-two emm types were identified including twenty-five from 32 blood culture isolates and 17 from 18 other sterile body fluid isolates [Table 2]. Eight emm types, namely, 110, 74, 63, 85, 102, 105, 124 and st854.1 were common to both groups and accounted for 42% of the isolates. Thus, in all, 34 emm types were identified from 50 iGAS isolates indicating extreme diversity among them. Two types, namely, stKNB6 and stKNB9 were hitherto unrecognised types at the time of their identification.
|Table 2: Distribution of emm and multilocus sequence typing sequence types among invasive group A streptococcus isolates|
Click here to view
Forty-eight ST were identified among 50 isolates that included 31 from 32 blood isolates and 17 from 18 sterile site isolates. MLST-STs 544, 338 and 489 were common to both groups; thus 45 ST were identified among 50 isolates that represented 34 emm types. Multiple ST was identified among eight emm types. Thus, four ST were identified in emm110, three ST in emm 74 and two among emm 85, 86, 100, 105, st854.1 and st6735 each. Thirty-seven of 48 ST were hitherto unrecognised at the time of identification.
Strain variations among eight emm types were studied with respect to their alleles in the housekeeping genes [Table 3]. Double locus variations (DLV) were seen in emm 85 and 110 with respect to glutamine transporter protein (gtr) and Acetyl-coA transferase and emm 86 with respect to gtr and DNA mismatch repair protein. Other five showed single locus variations (SLV) which were all respect to gtr. It is interesting that in all eight strains, variation included that of gtr gene.
| ~ Discussion|| |
Our study shows extensive diversity among iGAS isolates and reflects the circulation of a wide variety of GAS strains that are capable of causing invasive disease in this population. Identification of 25 emm types among 32 blood isolates and 17 types among 18 isolates from other sterile sites shows complete lack of clonality among them. Such heterogeneity is a unique feature of GAS isolates from developing countries. In a study on GAS invasive disease in Fiji islands, Steer et al. reported 38 different emm types among 55 iGAS isolates seen in 64 cases during a 2-year period. This is in contrast to reports from Western countries where iGAS isolates are usually restricted to a few types. The only other Indian study involving invasive disease had shown similar diversity with significant variations in their emm type distribution between south and north Indian isolates. Significant differences in the emm type distribution was also highlighted between developing and developed countries in a study published in 2009 implying that multivalent M type-based vaccine will not be equally effective in different regions of the world., The 30-valent Dale vaccine based on emm types that account for 98% of all cases of pharyngitis in the US and Canada, 90% of invasive disease in the US and 78% of invasive disease in Europe evoke bactericidal antibodies against all 30 vaccine serotypes. A study reported in 2009 observed that there was a higher diversity of strains in lower to middle-income settings as compared to high-income settings and that the theoretical coverage of a multivalent vaccine would be favourable in developed countries (>72%) than regions with more serious GAS disease; for example Africa 39% and Pacific 24%. Of 34 emm types identified in our study, 7 (20.6%) were represented in the 30-valent Dale vaccine and nine (27.3%) were represented in the 33 non-vaccine-types. Thus in total, 16 (47.06%) emm types in our study would be represented in both groups leaving >50% of the types uncovered by the current 30-valent vaccine. Recently, a classification based on 48 emm-clusters containing closely related M proteins that share binding and structural properties has been proposed. It also proposed that the cross-protection observed in the Dale vaccine occurs within these 48 emm-clusters. If that is so, there is hope for a broadly effective vaccine that will cover larger number of M types and therefore more effective in many more regions globally.
MLST is a very useful nucleotide sequence-based method to study genetic relationships between organisms of a bacterial species. Since it is associated with sequences, it gives unambiguous results and is easily portable between laboratories. Housekeeping genetic sequences are used for analysis because they are present in every organism and their products serve vital functions in the cell. Further, mutations within them are largely believed to be selectively neutral. It would also help to identify the nature and magnitude of development of new strains in a bacterial population. MLST have been used for epidemiological typing of a variety of pathogenic microbes. Considering that one need to use seven forward and an equal number of reverse primers, MLST can be an expensive technique in resource crunch situations, probably showing the very few studies reported on MLST for any bacterium. To the best of our knowledge, this is the first Indian report on MLST profile of GAS strains. Forty-five STs were identified among 34 emm types showing that MLST is a good indicator of strain variation among GAS strains. Eight of the 34 emm types showed >1 ST's with emm 110 showing the maximum variation in the MLST profile [Table 2]. Three of the four emm 110 isolates were blood culture isolates, all with different MLST profiles showing that they were three different strains. Of the nineteen ST identified among eight emm types, 6 had DLV while the remaining 13 had only SLV. Thus, strain variations among emm types are predominantly due to subtle variations with respect to one allele. This may be due to minor but varying host environmental conditions that the bacterium encounters in vivo. One incidental finding is that all SLV and DLV involved the gene gtr which codes for gtr that is essential for transport of this amino acid across cell membrane. This finding may be significant because glutamine is involved in nitrogen/ammonium transport across membrane and is essential for the viability of any bacterial cell.
| ~ Conclusion|| |
Our study highlights the extensive diversity of South Indian iGAS isolates and the molecular mechanism behind it. The MLST profiles and the allelic variations show how strain variations occur among GAS population. In the context of relatively low rates of recombination among GAS strains, the high rate of SLVs is probably due to point mutations arising out of subtle but hostile host environment. Development of large number of closely related strains resulting in high diversity has direct implications while designing candidate vaccines.
This study formed a part of the PhD thesis of RR and was conducted at the Department of Clinical Microbiology, Christian Medical College and Hospital, Vellore, Tamil Nadu, during 2004–2007. We wish to thank the staff of the department for their full support and cooperation for the work. Financial support from the ASSIST Program of the European Union during 2004–2007 and Senior Research Fellowship for RR from ICMR are gratefully acknowledged.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
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[Table 1], [Table 2], [Table 3]