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Published in: Archives of Virology 11/2012

01-11-2012 | Original Article

Tracing the genetic history of porcine reproductive and respiratory syndrome viruses derived from the complete ORF 5-7 sequences: a Bayesian coalescent approach

Authors: Sook Hee Yoon, Hyekwon Kim, Bongkyun Park, Heebal Kim

Published in: Archives of Virology | Issue 11/2012

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Abstract

To trace the genetic history of porcine reproductive and respiratory syndrome virus (PRRSV), we determined the complete sequences of ORFs 5 to 7 of four PRRSV isolates. These sequences were analyzed together with published sequences from 146 isolates from various parts of the world using a Bayesian coalescent approach as well as Bayesian inference and maximum-likelihood methods. All of the European-type (EU-type) viruses were classified into one of two groups or unclassified (4 isolates), while all North American–type (NA-type) viruses belonged to one of three major groups or were unclassified (5 isolates). Within each genotype, no apparent periodic and/or geographic influence on the evolution of PRRSVs was observed. The evolutionary rate of PRRSV isolates was estimated to be 1.55 × 10−3 substitutions/site/year, and the time of the most recent common ancestor (TMRCA) was 491.2 years ago. Here, the TMRCA for the EU- and NA-type viruses was 58.7 and 62.6 years ago, respectively. A Bayesian skyline plot revealed that the viruses evolved at an almost constant population size until the late 1970s, when they experienced a population expansion that continued until the late 1980s. The population size then remained constant again until the early 2000s, when a rapid, sharp decline in the effective number of infections occurred.
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Metadata
Title
Tracing the genetic history of porcine reproductive and respiratory syndrome viruses derived from the complete ORF 5-7 sequences: a Bayesian coalescent approach
Authors
Sook Hee Yoon
Hyekwon Kim
Bongkyun Park
Heebal Kim
Publication date
01-11-2012
Publisher
Springer Vienna
Published in
Archives of Virology / Issue 11/2012
Print ISSN: 0304-8608
Electronic ISSN: 1432-8798
DOI
https://doi.org/10.1007/s00705-012-1408-6

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