Molecular Epidemiology and evolutionary characteristics of dengue virus serotype-2 strains in Sri Lanka
Ariyaratne, D.; Jayadas, T.; Jeewandara, C.; de Silva, M.; Senadheera, B.; Gomes, L.; Bary, F.; Syenina, A.; Ranasin, D.; Kuruppu, H.; Wijewickrama, A.; Ooi, E. E.; Malavige, G. N.
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BackgroundSurveillance and characterization of different dengue virus (DENV) lineages of different serotypes causing outbreaks is crucial for initiation of timely dengue control measures and for implementing dengue vaccines. Therefore, we characterized the DENV-2 strains in Sri Lanka from 2016, until end of 2023 and their evolutionary dynamics to understand the geographical spread and mutations arising with the DENV-2 serotypes in Sri Lanka MethodologySequencing was carried out on 80 DENV-2 samples collected from patients with acute dengue recruited from 2016 to 2018 and 12 DENV-2 samples from 2022 to 2023 using Oxford Nanopore Technology. Phylogenetic analysis was carried out using the IQ-TREE tool within Galaxy to construct a phylogenetic tree from the aligned sequence data. The sequences were also analyzed for non-synonymous amino acid changes in the envelope and NS1 regions. ResultsThe Sri Lankan DENV-2 sequences circulating from 2016 to end of 2023 were found to belong to genotype II.F.1 lineage. They were closely related to strains circulating during the same period in South Asia and Southeast Asia. We identified 15 non-synonymous mutations within the envelope region and 22 non-synonymous mutations within the NS1 region, with 7 non-synonymous mutations within the E region (M6I, Q52H, E71A, V129I, N390S, I484V, T478S) and 10 non-synonymous mutations within the NS1 region (S80T, T117A, Q131H, K174R, F178S, N222S, L247F, I264T, T265A, K272R) seen in all sequenced samples. Some of these mutations were previously shown to be associated with increase in viral replication, NS1 secretion and immune evasion. ConclusionsGiven the increase in dengue transmission in many countries, it is important to further strengthen DENV surveillance for studying the evolutionary patterns of the DENV to initiate timely and appropriate control measures.
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