Positive selection and evolution of dengue type-3 virus in the Indian subcontinent.
BACKGROUND
Dengue virus infection has recently taken endemic proportions in India with dengu type-3 (DEN-3) as a predominant serotype. In this study, we carried out the selection pressure analysis of three critical immunogenic regions of DEN-3. Phylogenetic analysis was then carried out on the positively selected genomic region in the DEN-3 virus strains isolated in the Indian subcontinent over a time span of 25 yr (1984-2008). Bayesian Markov chain Monte Carlo (MCMC) calculation of the substitution rate was carried out for the DEN-3 genotype-III sequences.


METHODS
Sequences corresponding to the C-prM, E-NS1 and NS1 sequence regions of DEN-3 strains were taken for the positive selection analysis. The C-prM junction sequences were then used to construct a maximum likelihood (ML) phylogenetic tree. Substitution rates were also calculated under various models of population growth.


RESULTS
It was found that codon 86, corresponding to a conserved arginine residue in a crucial T-cell epitope of the C-protein was under significant positive selection. The K86R substitution was found to exist in almost all the Indian strains isolated after 2004. The ML tree constructed from the C-prM junction sequences indicated that strains from the 2006 dengue incidences in Delhi, namely: 04/03/del2006, 05/03/del2006, and 06/03/del2006 were the most rapidly evolving. Substitution rates of a DEN-3 genotype-III sequences from the Indian subcontinent were found to be ~3.0 times higher than those reported from other parts of the world.


CONCLUSIONS
Positive selection in the codon corresponding to R86 of the highly conserved surface C-protein is important in view of its occurrence in a T-cell epitope as well as its strict conservation in all the DEN strains. Phylogenetic analysis of the C-prM junction sequences showed that three strains of 2006 are rapidly evolving. These results were also supported by calculations of the substitution rates. Their significance in the expansion of viral epidemics requires to be investigated.
Computational and Structural Biology Laboratory, Division of Biotechnology, Netaji Subhash Institute of Technology, New Delhi, India.
Sukhmani K
SK
Bedi
Apar
A
Prasad
Krishanu
K
Mathur
Sonika
S
Bhatnagar
D000595:Amino Acid Sequence; D019943:Amino Acid Substitution; D001483:Base Sequence; D001499:Bayes Theorem; D003715:Dengue / Q000453:epidemiology / Q000821:virology*; D003716:Dengue Virus / Q000145:classification / Q000235:genetics* / Q000302:isolation & purification; D019143:Evolution, Molecular; D014644:Genetic Variation; D005838:Genotype; D006801:Humans; D007194:India / Q000453:epidemiology; D008969:Molecular Sequence Data; D009010:Monte Carlo Method; D009154:Mutation; D010802:Phylogeny; D011157:Population Dynamics; D012367:RNA, Viral / Q000097:blood; D012641:Selection, Genetic; D017422:Sequence Analysis, DNA; D014764:Viral Proteins / Q000235:genetics
D012367:RNA, Viral; D014764:Viral Proteins