Literature DB >> 12832629

Selection-driven evolution of emergent dengue virus.

Shannon N Bennett1, Edward C Holmes, Maritza Chirivella, Dania M Rodriguez, Manuela Beltran, Vance Vorndam, Duane J Gubler, W Owen McMillan.   

Abstract

In the last four decades the incidence of dengue fever has increased 30-fold worldwide, and over half the world's population is now threatened with infection from one or more of four co-circulating viral serotypes (DEN-1 through DEN-4). To determine the role of viral molecular evolution in emergent disease dynamics, we sequenced 40% of the genome of 82 DEN-4 isolates collected from Puerto Rico over the 20 years since the onset of endemic dengue on the island. Isolates were derived from years with varying levels of DEN-4 prevalence. Over our sampling period there were marked evolutionary shifts in DEN-4 viral populations circulating in Puerto Rico; viral lineages were temporally clustered and the most common genotype at a particular sampling time often arose from a previously rare lineage. Expressed changes in structural genes did not appear to drive this lineage turnover, even though these regions include primary determinants of viral antigenic properties. Instead, recent dengue evolution can be attributed in part to positive selection on the nonstructural gene 2A (NS2A), whose functions may include replication efficiency and antigenicity. During the latest and most severe DEN-4 epidemic in Puerto Rico, in 1998, viruses were distinguished by three amino acid changes in NS2A that were fixed far faster than expected by drift alone. Our study therefore demonstrates viral genetic turnover within a focal population and the potential importance of adaptive evolution in viral epidemic expansion.

Entities:  

Mesh:

Year:  2003        PMID: 12832629     DOI: 10.1093/molbev/msg182

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  88 in total

1.  A single amino acid in nonstructural protein NS4B confers virulence to dengue virus in AG129 mice through enhancement of viral RNA synthesis.

Authors:  Dixon Grant; Grace K Tan; Min Qing; Jowin K W Ng; Andy Yip; Gang Zou; Xuping Xie; Zhiming Yuan; Mark J Schreiber; Wouter Schul; Pei-Yong Shi; Sylvie Alonso
Journal:  J Virol       Date:  2011-06-01       Impact factor: 5.103

2.  Positive selection sites in the surface genes of dengue virus: phylogenetic analysis of the interserotypic branches of the four serotypes.

Authors:  Patsarin Rodpothong; Prasert Auewarakul
Journal:  Virus Genes       Date:  2012-01-06       Impact factor: 2.332

3.  Homology of complete genome sequences for dengue virus type-1, from dengue-fever- and dengue-haemorrhagic-fever-associated epidemics in Hawaii and French Polynesia.

Authors:  A Imrie; C Roche; Z Zhao; S Bennett; M Laille; P Effler; V-M Cao-Lormeau
Journal:  Ann Trop Med Parasitol       Date:  2010-04

Review 4.  Biological transmission of arboviruses: reexamination of and new insights into components, mechanisms, and unique traits as well as their evolutionary trends.

Authors:  Goro Kuno; Gwong-Jen J Chang
Journal:  Clin Microbiol Rev       Date:  2005-10       Impact factor: 26.132

5.  A hospital based serosurveillance study of dengue infection in jaipur (rajasthan) , India.

Authors:  Smita Sood
Journal:  J Clin Diagn Res       Date:  2013-09-10

Review 6.  RNA virus genomics: a world of possibilities.

Authors:  Edward C Holmes
Journal:  J Clin Invest       Date:  2009-09       Impact factor: 14.808

7.  Epidemic dynamics revealed in dengue evolution.

Authors:  S N Bennett; A J Drummond; D D Kapan; M A Suchard; J L Muñoz-Jordán; O G Pybus; E C Holmes; D J Gubler
Journal:  Mol Biol Evol       Date:  2009-12-04       Impact factor: 16.240

Review 8.  Barriers to preclinical investigations of anti-dengue immunity and dengue pathogenesis.

Authors:  Ashley L St John; Soman N Abraham; Duane J Gubler
Journal:  Nat Rev Microbiol       Date:  2013-05-08       Impact factor: 60.633

9.  Clade replacements in dengue virus serotypes 1 and 3 are associated with changing serotype prevalence.

Authors:  Chunlin Zhang; Mammen P Mammen; Piyawan Chinnawirotpisan; Chonticha Klungthong; Prinyada Rodpradit; Patama Monkongdee; Suchitra Nimmannitya; Siripen Kalayanarooj; Edward C Holmes
Journal:  J Virol       Date:  2005-12       Impact factor: 5.103

10.  A method for accurate inference of population size from serially sampled genealogies distorted by selection.

Authors:  Brendan D O'Fallon
Journal:  Mol Biol Evol       Date:  2011-06-16       Impact factor: 16.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.