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Title 

ORF5-based evolutionary and epidemiological dynamics of the type 1 porcine reproductive and respiratory syndrome virus circulating in Korea

Authors 

V G NguyenH K KimH J MoonSeong-Jun ParkH C ChungM K ChoiA R KimB K Park

Publisher 

Elsevier

Issue Date 

2014

Citation 

Infection Genetics and Evolution, vol. 21, no. 0, pp. 320-328

Keywords 

Epidemiological dynamicsEvolutionary dynamicsKorean type 1 PRRSV

Abstract 

This study applied a number of advanced genetic analysis tools to investigate the evolutionary trajectories and epidemiological dynamics of Korean type 1 PRRSV based on variations in the ORF5 gene over a long-term period from 2005 to 2013. Maximum likelihood phylogenetic analysis performed on large, worldwide ORF5 sequences (n= 1127) strongly suggested no further introduction of genetically novel type 1 PRRSV into Korean pig farms, with the identification of only two clusters (I and II) in circulation to date. Using a codon-based extension of the Bayesian relaxed clock model, this study was able to distinguish between synonymous and non-synonymous substitutions and demonstrated that, while the absolute rates of synonymous substitution (E[S]) were similar between clusters I and II, the absolute rate of non-synonymous substitution (E[N]) was significantly different between the clusters. Cluster I was found to have an elevated E[N]/. E[S] ratio relative to cluster II on the internal branches, compared to the external branches. Additionally, many fewer sites were predicted under diversifying selection in cluster II than in cluster I. Utilizing the Bayesian skyride method and the novel Bayesian birth-death skyline plot method, this study provided insights into the epidemiological dynamics of type 1 PRRSV in Korea by revealing that each cluster experienced a unique epidemic growth and by uncovering correlations between the effective population size and effective reproductive number.

ISSN 

1567-1348

Link 

http://dx.doi.org/10.1016/j.meegid.2013.11.023

Appears in Collections

1. Journal Articles > Journal Articles

Registered Date

2019-05-02


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