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Evolutionary analysis of Porcine circovirus 3 (PCV3) indicates an ancient origin for its current strains and a worldwide dispersion

Overview of attention for article published in Virus Genes, March 2018
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Title
Evolutionary analysis of Porcine circovirus 3 (PCV3) indicates an ancient origin for its current strains and a worldwide dispersion
Published in
Virus Genes, March 2018
DOI 10.1007/s11262-018-1545-4
Pubmed ID
Authors

Giuliana Loreto Saraiva, Pedro Marcus Pereira Vidigal, Juliana Lopes Rangel Fietto, Gustavo Costa Bressan, Abelardo Silva Júnior, Márcia Rogéria de Almeida

Abstract

Porcine circovirus 3 (PCV3) is an emerging virus that was identified in the United States in 2016. Since its first identification, PCV3 has been identified in Brazil, China, United States, Poland, and Republic of Korea. In this study, we used molecular phylogenetic analysis of available sequences to address questions surrounding the emergence of PCV3 in porcine world industry. Our data indicate that PCV3 did not emerge through recombination events among currently known circoviruses and that its speciation is not a recent evolutionary event. The most common recent ancestor analysis suggests that PCV3 lineages have emerged over the past 50 years. PCV3 is not genetically closely related with other Porcine circovirus and it has been evolving undetected for some time in swine and probably in bovine population. We also found groups of genetically related isolates of PCV3 originated from different countries that may be associated with dispersal routes, suggesting that PCV3 has already been circulating in pig-producing countries for some time before its first detection.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 24%
Student > Doctoral Student 6 21%
Unspecified 5 17%
Student > Postgraduate 2 7%
Student > Master 2 7%
Other 7 24%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 15 52%
Unspecified 6 21%
Agricultural and Biological Sciences 4 14%
Biochemistry, Genetics and Molecular Biology 3 10%
Immunology and Microbiology 1 3%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 March 2018.
All research outputs
#11,213,959
of 12,600,122 outputs
Outputs from Virus Genes
#550
of 693 outputs
Outputs of similar age
#236,411
of 272,631 outputs
Outputs of similar age from Virus Genes
#17
of 28 outputs
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