Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/85513
Title: Intra-epidemic evolutionary dynamics of a dengue virus type 1 population reveal mutant spectra that correlate with disease transmission
Authors: Hapuarachchi, Hapuarachchige Chanditha
Koo, Carmen
Kek, Relus
Xu, Helen
Lai, Yee Ling
Liu, Lilac
Kok, Suet Yheng
Shi, Yuan
Lee, Kim-Sung
Maurer-Stroh, Sebastian
Ng, Lee Ching
Lee, Raphael Tze Chuen
Keywords: Dengue Virus
Epidemics
DRNTU::Science::Biological sciences
Issue Date: 2016
Source: Hapuarachchi, H. C., Koo, C., Kek, R., Xu, H., Lai, Y. L., Liu, L., . . . Ng, L. C. (2016). Intra-epidemic evolutionary dynamics of a dengue virus type 1 population reveal mutant spectra that correlate with disease transmission. Scientific Reports, 6, 22592-. doi:10.1038/srep22592
Series/Report no.: Scientific Reports
Abstract: Dengue virus (DENV) is currently the most prevalent mosquito-borne viral pathogen. DENVs naturally exist as highly heterogeneous populations. Even though the descriptions on DENV diversity are plentiful, only a few studies have narrated the dynamics of intra-epidemic virus diversity at a fine scale. Such accounts are important to decipher the reciprocal relationship between viral evolutionary dynamics and disease transmission that shape dengue epidemiology. In the current study, we present a micro-scale genetic analysis of a monophyletic lineage of DENV-1 genotype III (epidemic lineage) detected from November 2012 to May 2014. The lineage was involved in an unprecedented dengue epidemic in Singapore during 2013–2014. Our findings showed that the epidemic lineage was an ensemble of mutants (variants) originated from an initial mixed viral population. The composition of mutant spectrum was dynamic and positively correlated with case load. The close interaction between viral evolution and transmission intensity indicated that tracking genetic diversity through time is potentially a useful tool to infer DENV transmission dynamics and thereby, to assess the epidemic risk in a disease control perspective. Moreover, such information is salient to understand the viral basis of clinical outcome and immune response variations that is imperative to effective vaccine design.
URI: https://hdl.handle.net/10356/85513
http://hdl.handle.net/10220/46686
DOI: 10.1038/srep22592
Rights: © 2016 The Authors (Nature Publishing Group). This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SBS Journal Articles

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