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Data Brief. 2016 Jun 15;8:549-52. doi: 10.1016/j.dib.2016.06.005. eCollection 2016 Sep.

Phylodynamic analysis of porcine circovirus type 2: Methodological approach and datasets.

Author information

1
Department of Animal Medicine, Production and Health (MAPS), University of Padua, Viale dell'UniversitĂ  16, 35020 Legnaro (PD), Italy.
2
Centre de Recerca en Sanitat Animal (CReSA), UAB-IRTA, Barcelona, Spain.
3
MRC-University of Glasgow Centre for Virus Research, Glasgow, Scotland, UK.

Abstract

Since its first description, PCV2 has emerged as one of the most economically relevant diseases for the swine industry. Despite the introduction of vaccines effective in controlling clinical syndromes, PCV2 spread was not prevented and some potential evidences of vaccine immuno escape have recently been reported ("Complete genome sequence of a novel porcine circovirus type 2b variant present in cases of vaccine failures in the United States" (Xiao and Halbur, 2012) [1], "Genetic and antigenic characterization of a newly emerging porcine circovirus type 2b mutant first isolated in cases of vaccine failure in Korea" (Seo et al., 2014) [2]). In this article, we used a collection of PCV2 full genomes, provided in the present manuscript, and several phylogentic, phylodynamic and bioinformatic methods to investigate different aspects of PCV2 epidemiology, history and evolution (more thoroughly described in "PHYLODYNAMIC ANALYSIS of PORCINE CIRCOVIRUS TYPE 2 REVEALS GLOBAL WAVES of EMERGING GENOTYPES and the CIRCULATION of RECOMBINANT FORMS"[3]). The methodological approaches used to consistently detect recombiantion events and estimate population dymanics and spreading patterns of rapidly evolving ssDNA viruses are herein reported. Programs used are described and original scripts have been provided. Ensembled databases used are also made available. These consist of a broad collection of complete genome sequences (i.e. 843 sequences; 63 complete genomes of PCV2a, 310 of PCV2b, 4 of PCV2c, 217 of PCV2d, 64 of CRF01, 140 of CRF02 and 45 of CRF03.), divided in differnt ORF (i.e. ORF1, ORF2 and intergenic regions), of PCV2 genotypes and major Circulating Recombinat Forms (CRF) properly annotated with respective collection data and country. Globally, all of these data can be used as a starting point for further studies and for classification purpose.

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