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Updated: May 26, 2026

04:23
A Murine Model of Dengue Virus-induced Acute Viral Encephalitis-like Disease
Published on: April 28, 2019
Comparative evolutionary epidemiology of dengue virus serotypes
Raquel L Costa1, Carolina M Voloch, Carlos G Schrago
1Laboratório Nacional de Computação Científica, Petrópolis, Brazil.
Summary
This study reveals dengue virus serotypes share similar evolutionary rates but have distinct population dynamics. Dengue virus type 2 (DENV-2) shows the largest population size globally, with geographical structures evident in all serotypes.
Area of Science:
- * Molecular epidemiology
- * Viral evolution
- * Dengue virus (DENV) serotypes
Background:
- * Previous dengue virus evolutionary studies often concentrated on intra-serotype diversity or specific outbreaks.
- * A comprehensive understanding of evolutionary molecular epidemiology across all DENV serotypes is lacking.
Purpose of the Study:
- * To conduct an extensive comparative study of the evolutionary molecular epidemiology of dengue virus serotypes.
- * To investigate the drivers of DENV serotype diversification, including adaptive changes versus stochastic events.
Main Methods:
- * Compilation of a comprehensive dataset of the DENV envelope (E) gene sequences.
- * Comparative analysis of evolutionary rates and population dynamics using Bayesian coalescent methods.
- * Assessment of selection pressures on the E gene.
Main Results:
- * Identified homogeneous substitution rates across all DENV serotypes.
- * Inferred differing population dynamics among serotypes, with DENV-2 exhibiting the largest effective population size globally.
- * Observed clear geographical structuring within the genealogies of each serotype.
- * Found significant purifying selection acting on the DENV E gene.
Conclusions:
- * DENV serotype diversification may be attributed to stochastic events rather than solely adaptive changes.
- * The findings provide insights into the evolutionary history and population structure of dengue viruses, crucial for public health interventions.
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