Genomic Surveillance of Recent Dengue Outbreaks in Colombo, Sri Lanka.


Journal

Viruses
ISSN: 1999-4915
Titre abrégé: Viruses
Pays: Switzerland
ID NLM: 101509722

Informations de publication

Date de publication:
21 06 2023
Historique:
received: 23 05 2023
revised: 19 06 2023
accepted: 19 06 2023
medline: 31 7 2023
pubmed: 29 7 2023
entrez: 29 7 2023
Statut: epublish

Résumé

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.

Identifiants

pubmed: 37515097
pii: v15071408
doi: 10.3390/v15071408
pmc: PMC10384240
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Sachith Maduranga (S)

School of Biomedical Sciences, UNSW Sydney, Sydney, NSW 2052, Australia.
Kirby Institute, UNSW Sydney, Sydney, NSW 2052, Australia.

Braulio Mark Valencia (BM)

Kirby Institute, UNSW Sydney, Sydney, NSW 2052, Australia.

Chathurani Sigera (C)

Faculty of Medicine, University of Colombo, Colombo 00800, Sri Lanka.

Thiruni Adikari (T)

School of Biomedical Sciences, UNSW Sydney, Sydney, NSW 2052, Australia.

Praveen Weeratunga (P)

Faculty of Medicine, University of Colombo, Colombo 00800, Sri Lanka.

Deepika Fernando (D)

Faculty of Medicine, University of Colombo, Colombo 00800, Sri Lanka.

Senaka Rajapakse (S)

Faculty of Medicine, University of Colombo, Colombo 00800, Sri Lanka.

Andrew R Lloyd (AR)

Kirby Institute, UNSW Sydney, Sydney, NSW 2052, Australia.

Rowena A Bull (RA)

School of Biomedical Sciences, UNSW Sydney, Sydney, NSW 2052, Australia.
Kirby Institute, UNSW Sydney, Sydney, NSW 2052, Australia.

Chaturaka Rodrigo (C)

School of Biomedical Sciences, UNSW Sydney, Sydney, NSW 2052, Australia.
Kirby Institute, UNSW Sydney, Sydney, NSW 2052, Australia.

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Classifications MeSH