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Genomic Surveillance of Recent Dengue Outbreaks in Colombo, Sri Lanka
- Source :
- Viruses, Vol 15, Iss 7, p 1408 (2023)
- Publication Year :
- 2023
- Publisher :
- MDPI AG, 2023.
-
Abstract
- All four serotypes of the dengue virus (DENV1–4) cause a phenotypically similar illness, but serial infections from different serotypes increase the risk of severe disease. Thus, genomic surveillance of circulating viruses is important to detect serotype switches that precede community outbreaks of disproportionate magnitude. A phylogenetic analysis was conducted on near full length DENV genomes sequenced from serum collected from a prospective cohort study from the Colombo district, Sri Lanka during a 28-month period using Oxford nanopore technology, and the consensus sequences were analyzed using maximum likelihood and Bayesian evolutionary analysis. From 523 patients, 328 DENV sequences were successfully generated (DENV1: 43, DENV2: 219, DENV3:66). Most circulating sequences originated from a common ancestor that was estimated to have existed from around 2010 for DENV2 and around 2015/2016 for DENV1 and DENV3. Four distinct outbreaks coinciding with monsoon rain seasons were identified during the observation period mostly driven by DENV2 cosmopolitan genotype, except for a large outbreak in 2019 contributed by DENV3 genotype I. This serotype switch did not result in a more clinically severe illness. Phylogeographic analyses showed that all outbreaks started within Colombo city and then spread to the rest of the district. In 2019, DENV3 genotype I, previously, rarely reported in Sri Lanka, is likely to have contributed to a disease outbreak. However, this did not result in more severe disease in those infected, probably due to pre-existing DENV3 immunity in the community. Targeted vector control within Colombo city before anticipated seasonal outbreaks may help to limit the geographic spread of outbreaks.
- Subjects :
- dengue
Sri Lanka
phylogenetics
phylogeography
serotype
genotype
Microbiology
QR1-502
Subjects
Details
- Language :
- English
- ISSN :
- 19994915
- Volume :
- 15
- Issue :
- 7
- Database :
- Directory of Open Access Journals
- Journal :
- Viruses
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.4e220be9bfe9486985e5729c5f1888f6
- Document Type :
- article
- Full Text :
- https://doi.org/10.3390/v15071408