Lineage shift in Indian strains of Dengue virus serotype-3 (Genotype III), evidenced by detection of lineage IV strains in clinical cases from Kerala
© Manakkadan et al.; licensee BioMed Central Ltd. 2013
Received: 13 September 2012
Accepted: 25 January 2013
Published: 29 January 2013
Local epidemiology of Dengue is defined by the genetic diversity of the circulating Dengue virus (DENV) strains. This important information is not available for the virus strains from most parts of the Indian subcontinent. The present study focused on the genetic diversity of the serotype 3 DENV strains (DENV-3) from India.
A total of 22 DENV-3 strains identified by reverse-transcription PCR analysis of serum samples from 709 patients were studied. These samples were collected over a period of 4 years (2008–2011) from dengue fever suspected patients from Kerala, a dengue endemic state in South India. Comparison of a 1740bp nucleotide sequence of the viral Capsid-Pre-membrane-Envelope coding region of our strains and previously reported DENV-3 strains from India, South Asia and South America revealed non-synonymous substitutions that were genotype III-specific as well as sporadic. Evidence of positive selection was detected in the I81 amino acid residue of the envelope protein. Out of the 22 samples, three had I81A and 18 had I81V substitutions. In the phylogenetic analysis by maximum likelihood method the strains from Kerala clustered in two different lineages (lineage III and IV) within genotype III clade of DENV-3 strains. The ten strains that belonged to lineage IV had a signature amino acid substitution T219A in the envelope protein. Interestingly, all these strains were found to be closely related to a Singapore strain GU370053 isolated in 2007.
Our study identifies for the first time the presence of lineage IV strains in the Indian subcontinent. Results indicate the possibility of a recent exotic introduction and also a shift from the existing lineage III strains to lineage IV. Lineage shifts in DENV-3 strains have been attributed to dramatic increase in disease severity in many parts of the world. Hence the present observation could be significant in terms of the clinical severity of future dengue cases in the region.
Dengue, a mosquito vector transmitted viral infection, has emerged as a major disease in recent times[1, 2]. It is prevalent in most of the tropical regions and affects around 100 million people annually. Over the years, there is an exponential increase in the cases of Dengue fever (DF) or its severe forms, Dengue hemorrhagic fever (DHF)/Dengue shock syndrome (DSS) across the world. This augmented incidence of dengue has been attributed to increased air-travel, increased urbanization, amplified mosquito population due to deterioration in the public health infrastructure and changing climatic conditions.
The Dengue virus (DENV) is a positive-stranded RNA virus of the Flaviviridae family consisting of 4 serotypes (DENV-1, 2, 3, and 4). Infection with one serotype confers life-long protective immunity against a future infection with the same serotype, but not against the other three[2, 3]. The ~11,000 base-pairs (bp) long viral genome consists of a small 5’non-translated region (5’NTR) of ~100 bp; a 10179 bp open reading frame that codes for the three structural and seven non-structural proteins; and a 3’NTR of ~400 bp. The Capsid (C), Membrane (M) and Envelope (E) proteins form the structural proteins and NS1, NS2A, NS2B, NS3, NS4A, NS4B and NS5 proteins form the non-structural proteins. The NS5 protein functions as the viral RNA-dependent RNA polymerase that is responsible for replicating the genome. This protein has a low fidelity during the viral genome replication contributing to the genomic variability within the viral serotypes and a constantly changing epidemiology of dengue. Identifying such changes by genome analysis has become a major tool in understanding dengue disease dynamics. Previous studies have reported that almost all gene segments of the virus are useful in generating information on the viral evolution[6, 7], though whole genome analysis has gained more emphasis recently[8–10].
Dengue virus has been prevalent in the Indian subcontinent for the last 50 years. Like Southeast Asia, the region has become hyperendemic to dengue with the circulation of all the four serotypes. Reflecting the global trend, the disease incidence has been increasing with more cases of DF and DHF over the years exhibiting a change in disease epidemiology. DENV-1 and DENV-3 have been reported to be associated with increased incidence of mortality in the country. In the published literature, genetic studies on the dengue virus from India have mostly used strains from Northern and Western parts of the subcontinent[7, 10, 14, 15]. The southern region, however, experiences regular incidences of small-scale outbreaks of dengue[16–19], but there has been a very limited study to understand the serotypes and genotypes of the virus prevalent in this region. Since its first documentation in Kerala 44 years ago, dengue remained a low profile disease in the state till its re-emergence in epidemic form causing significant morbidity and mortality in 2003. As in other parts of the country, the dengue virus activity in the state has gone up considerably in recent years. Our earlier studies have identified dengue outbreaks in Kerala that had significant number of patients with concurrent infections involving multiple serotypes and also the circulation of DENV-1 strains that are possibly introduced from neighboring countries[18, 19]. A progressive molecular change in the viral strains, especially DENV-1, was also observed.
The replacement of DENV-1 with DENV-3 in the dengue incidences in Northern India has been reported recently indicating viral serotype swings in the region. The serotype and genotype shifts occurring in circulating dengue viral strains in a locality are important causes for enhanced severity of dengue outbreaks[13, 21–23]. At times, even the more subtle changes such as the ones at the lineage level could alter the potential of the dengue virus to cause severe disease. This has been observed in Sri Lankan DENV-3 strains[24–26]. In the present study, we characterized DENV-3 strains circulating in Kerala from 2008–2011 and compared the data with other Indian and global strains to understand the genetic variations. The information generated would be important in deciphering dengue in the region at a molecular level.
Clinical samples, viral nucleic acid and anti-dengue IgG detection
Details of samples used in the study
Date of collection
Place of collection
GenBank accession number
Detection of DENV3 infection of C6/36 cells by immunofluorescence
Sequence analysis of the C-PrM-E region
Recombination and selection pressure analysis
A data set comprising of 27 sequences [22 from the current study, NC_001475 reference sequence, GWL-25 (AY770511), ND143 (FJ644564) DEL-72 (GQ466079) and the Singapore isolate (GU370053)] was subjected to recombination analysis and selection pressure analysis. In the Datamonkey server used for the recombination analysis, both the SBP and GARD methods failed to detect any recombination events in the data set. Also, none among the eight methods implemented through the recombination detection program RDP3Beta34 identified recombination events. Nevertheless, in the selection pressure analysis, four among the five methods used identified various sites with statistically significant positive selection. The method SLAC failed to identify sites with positive selection. However, only the codon for I81 in the envelope protein was identified to be under positive selection by more than one method. Three programs- FEL (p-value 0.068), REL (Bayes factor 100.6) and FUBAR (posterior probability 0.9572) - identified this site. One strain RGCB837 had this site conserved with the reference sequence whereas three strains- RGCB350, RGCB429, RGCB632 had an alanine substitution, and the remaining 18 strains from the study showed a valine substitution (Figure3).
Evolution through adaptive genetic changes plays a major role in making dengue virus a successful pathogen of the tropics[1, 2]. It is fairly well established that such acquired changes affect the dengue disease severity[24, 27]. Coupled with this, introduction of newer viral strains by cross-border transmission causes unprecedented changes in dengue disease spectrum in a region[13, 28]. A keen monitoring of these events would be a major requirement for successful dengue surveillance and control programs.
Dengue virus has a uniform substitution rate across the structural and non-structural proteins. This permits the use of practically any of the genomic segments for evolutionary analysis[6, 7]. Here, we selected the C-PrM-Envelope region. This region, being a structural protein, accumulates adaptive mutations under selection pressure for favoring infection of both human as well as mosquito cells. It also represents a sequence stretch that has extensively been used in previous studies[7, 18]. Comparative sequence analysis of the 22 strains and other closely related strains revealed several mutations in the Kerala strains. Most of these mutations were genotype specific (Figure3). Previous studies have shown that many adaptive mutations in the dengue viral genome map to the hinge region between the Domain I and II of the envelope protein, which is thought to be involved in the fusion with the cell membrane. In our samples, no substitutions were observed in this region. Two asparagine residues (N67 and N153) in the E protein forming the N-linked glycosylation sites are considered important in interacting with the putative viral receptor[31, 32]. Both of them were conserved in all the strains studied. Among the amino acid substitutions identified, the T219A mutation was a consistent change that fell within the Domain II of the envelope protein and was observed in 10 of the isolates studied (Figure3). This change was later on identified as a signature substitution of the lineage IV strains as identified by the phylogenetic analysis (Figure4).
DENV serotype 3 has five genotypes, and geographic confinement and independent evolution of these genotypes, especially the genotype I, II and III, have been noted earlier. In fact, the Indian sub-continent was considered as the place of origin of the genotype III strains, with the virus spreading from Sri Lanka to the rest of the world. Within DENV 3 genotype III, five lineages have been designated. The earlier genotype III DENV-3 strains from India isolated in 1984 belonged to the lineage V, which was later replaced with lineage III strains that continues to circulate in the region[10, 20]. This change was suggested as a cause for the increased incidence of severe dengue cases post-1990. In the present study we observe a shift from lineage III to lineage IV (Figure4). The clade replacements leading to lineage shifts have resulted in the emergence of viral strains causing more severe forms of the disease in countries such as Sri Lanka and Singapore. In the former study, it was hypothesized that this distinction in disease severity may not be attributable to virus virulence alone, but could also be due to the dengue immunity background of the population. A pre-existing immunity to other serotypes can lead to preferential neutralization of virus from one lineage and at the same time, immune enhancement of infection of other lineage. Taking clue from this, we verified the pre-existing immunity in the acute-phase samples from our patients by checking the presence of anti-dengue IgG and linked it with disease severity. Though 11 samples were IgG positive indicating secondary infections, they all represented uncomplicated dengue fever cases. So, it seems that the lineage shift per se has not resulted in a dramatic change in disease profile. DENV-1 and DENV-3 being the common serotypes in Kerala, one possibility could be that the existing background immunity against DENV-1 does not support a significant immune enhancement with these newer strains of DENV-3. Moreover, since the lineage shift seems to be of a recent occurrence, analysis of more number of clinical cases over a longer period might be essential to understand its true significance.
The close similarity of the lineage IV DENV-3 strains from the study to a Singapore strain is note-worthy. Among the three sites chosen for sample collection, two sites (Ernakulam and Thiruvananthapuram) have international airports, and all the lineage IV strains identified were from these locations. Interestingly, these strains were also genetically more divergent from this Singapore strain in the phylogenetic analysis indicating that they have undergone local evolution since their introduction into the country. Our study thus indicates that there is an inflow of DENV strains into the subcontinent along with the outward spread of the strains as identified earlier. The presence of lineage III strains was confined to the third sample collection site (Pathanapuram). This place shared an interstate highway with the neighboring state of Tamilnadu from where dengue outbreak involving the north Indian GWL-25 strains were being reported.
As in many arboviruses, a strong purifying selection predominate the DENV evolution[12, 34]. The occurrence of adaptive mutations in viral strains are dictated by the need for the virus to systematically replicate in the heterologous host systems –the man and the mosquito–which in turn has pointed to the incidence of convergent evolution via positive selection. This is exemplified by the evidence of positive selection in the viral envelope protein residues in previous studies[8, 35–38]. Envelope is the major antigenic protein of the dengue virus that is subjected to constant immune pressure. The I81 residue in the envelope protein that is identified to be under positive selection in our study (Figure3) is located within the domain II of the protein. This is a region important in conformational change during low pH induced fusion of the virus with cell membrane[39, 40]. Also, this residue is located in the solvent exposed loops in the tertiary structure of the envelope protein. The changes in the I81 site, thus, can have functional consequences; however, the alanine / valine substitutions observed in our samples are conservative changes that might not affect protein secondary structure.
The present study strengthens the earlier reports on the changing molecular pattern of dengue in India. Apart from sporadic genetic changes in the viral strains the study reveals genetic alterations resulting in lineage turn over. The lineage turnover is considered as a common phenomenon in dengue virus evolutionary dynamics, and such events in a population are followed by period of low prevalence of the new lineage strains. These stochastic changes in one strain make way for the strains of other serotypes to flourish, thereby altering the disease epidemiology. A temporal analysis of the dengue disease profile in the region is imperative to understand the long term sequel of the present observations. Coupled with a complete genome analysis of viral strains, this will enlighten our perception of the progression of dengue in the sub-continent, and support our efforts for its effective control.
Materials and methods
Clinical samples, RT-PCR-based virus detection and serology
Primers used in the study
Sequence (5’→ 3’)
Location (with respect to the ref. sequence NC_001475)
Reference sequence (GenBank ac. no)
Infection of C6/36 cells and DENV detection by immunofluorescence
Dengue virus from RT-PCR positive samples was isolated in C6/36 Aedes aegypti cell line. The cells were grown in L-15 medium with 10% Foetal Bovine serum (FBS; Invitrogen) and 1× antibiotic-antimycotic solution (Sigma) at 28°C. For infection, culture medium was removed from confluent cultures in 25 cm2 flasks (T-25) and an 1:10 dilution of patient serum in 1 ml culture medium was added. Flasks were incubated for 2 hrs at 28°C. Subsequently, the cells were washed twice with phosphate buffered saline (PBS; pH 7.4) and 5 ml of L-15 medium (Invitrogen, Carlsbad) with 2% FBS and 1× antibiotic-antimycotic solution (Sigma) was added. The cultures were incubated at 28°C for 5 days and the virus containing supernatants were collected and stored at −80°C in aliquots.
For immunofluorescence analysis, C6/36 cells were cultured as described above on glass cover slips placed in 24- well plates and infected as above with 200 μl of the 1:10 diluted virus sample. Cells were incubated at 28°C for three days. Medium was carefully removed from infected and uninfected control cells, and the cells were fixed with 4 % paraformaldehyde for 15 min at 4°C and washed 3 times with PBS. Permeabilization was done with 0.2% Triton-X 100 for 10 min at room-temperature and blocking was done with 8% normal goat serum (Sigma) in PBS for 1 hour at 37°C in a moist chamber. Primary antibody (Rabbit anti-dengue polyclonal serum; Catalogue No.GTX-29200; GeneTex;1:100 dilution) that can detect all the four serotypes of the virus was added and was incubated at 37°C for 1 hour in a moist-chamber. The cells were subsequently washed 3 times with PBS containing 0.1% Tween (PBS-T) and 1:500 dilution of goat anti-rabbit IgG Alexa Fluor®488 conjugated antibody (Cat. No.A11008, Molecular Probes, Invitrogen) was added and incubated for 30 min at room temperature. Cells were washed with PBS-T and then stained with DAPI (1 μg/ml). The cover slips were carefully mounted over the microscopic slides and were imaged using a Nikon TiS inverted fluorescent microscope. Images were captured with a LucaR (Andor) EMCCD camera using NIS elements software under identical exposure (500 milliseconds) and gain settings (6 units) for the infected cells as well as the controls. Cells treated only with the secondary antibody served as background fluorescent staining control in the experiments.
Nucleotide sequencing and analysis
RNA from virus isolates obtained after a single passage in C6/36 cells was used for the RT-PCR amplification and nucleotide sequencing. Viral RNA was isolated from 140 μl of the C6/36 culture supernatant as described above, and was RT-PCR amplified using a high fidelity RT-PCR system (Fidelitaq RT-PCR kit; USB, Cleveland, Ohio) for amplifying a 2006 bp region spanning the C-PrM-Envelope coding regions. The RT-PCR reaction contained 10 pmol of the forward and reverse primers (D1F & DV3EDIII R; Table2) and 5 μl of viral RNA in a 50 μl reaction. The amplification conditions were as described previously[18, 19], except for an increased time for the extension step (2min). The amplified product was purified using the illustra GFX PCR purification Kit (GE Healthcare, Buckinghamshire, UK). Both strands of the amplicon were then sequenced with specific forward and reverse primers (Table2) using the Big-dye Terminator Cycle sequencing kit in an ABI 3730 Genetic Analyzer automated DNA sequencer (PE Applied Biosystems, Foster City, CA). The comparative analysis of nucleotide and amino acid sequences of Indian as well as closely related Indo-Pacific isolates was carried out using the Clustal W function of the Bio-Edit 6.0.7software.
MEGA5.5 program was used for phylogenetic analysis. The sequences used in the previous studies employing Indian strains and the Indo-Pacific strains[8, 33], and also the unpublished sequences of DENV-3 strains from the South and South East Asia and from the South America accessible from National Center for Biotechnology Information (NCBI) GenBank database (http://www.ncbi.nlm.nih.gov) were used as the dataset. The sequences were initially aligned by Clustal W and the nucleotide substitution model for each data set was identified by the Model (ML) function in the MEGA5.5 program. Subsequently, maximum-likelihood analysis with 1000 boot-strap replications was carried out for the sequence data set using the identified substitution model.
Recombination and selection pressure analysis
To detect recombination and identify recombination break points in the data alignment, two methods- SBP (Single Break Point recombination) and GARD (Genetic Algorithms for Recombination Detection)- were initially carried out using the online adaptive evolution serverhttp://www.datamonkey.org/. Subsequently, a second program, RDP3Beta34, was also used to reconfirm the results obtained. Default setting of this program for linear sequences was executed for implementing RDP, GENCONV, MAXCHI; CHIMAERA; BOOTSCAN; SISCAN, 3SEQ and PHYLPRO in the analysis.
Selection pressure analysis was carried out in the serverhttp://www.datamonkey.org/. For identifying the residues with positive selection based on the ratio of non-synonymous to synonymous substitutions (dN/dS ratio), three different codon-based likelihood methods- Single Likelihood Ancestor counting (SLAC), Fixed Effects Likelihood (FEL) and Random Effects Likelihood (REL) - executed by the server were employed. The estimation of site-by-site substitution rates by the SLAC and FEL employs conservative methods whereas a less conservative method is used in the REL, which is best suited for small data sets with low sequence divergence. In addition, two newly introduced algorithms in the Datamonkey server -FUBAR and Mixed effects model evolution (MEME) were also executed to analyze the data set. Default parameters that used a Neighbour Joining tree and a significance setting of P-value/Bayes factor <0.1 for SLAC, FEL and MEME; a Bayes Factor of 50 for REL; and a posterior probability of 0.9 for FUBAR, were set in the analysis.
The authors are thankful to the Department of Biotechnology, Govt. of India for providing necessary infrastructure facilities and core-funding for carrying out this work. AM is supported by a Senior Research Fellowship from Council for Scientific and Industrial Research (CSIR), Govt. of India. The support from the Department of Health Services, Govt. of Kerala and the State Mission Director, National Rural Health Mission (NRHM), Kerala for this study is gratefully acknowledged. The authors are grateful to the superintendent and hospital staff of General Hospital, Ernakulam for the help provided for patient sample collection.
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