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Comprehensive Phylogenetic Reconstructions of African Swine Fever Virus: Proposal for a New Classification and Molecular Dating of the Virus

Overview of attention for article published in PLOS ONE, July 2013
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Title
Comprehensive Phylogenetic Reconstructions of African Swine Fever Virus: Proposal for a New Classification and Molecular Dating of the Virus
Published in
PLOS ONE, July 2013
DOI 10.1371/journal.pone.0069662
Pubmed ID
Authors

Vincent Michaud, Tantely Randriamparany, Emmanuel Albina

Abstract

African swine fever (ASF) is a highly lethal disease of domestic pigs caused by the only known DNA arbovirus. It was first described in Kenya in 1921 and since then many isolates have been collected worldwide. However, although several phylogenetic studies have been carried out to understand the relationships between the isolates, no molecular dating analyses have been achieved so far. In this paper, comprehensive phylogenetic reconstructions were made using newly generated, publicly available sequences of hundreds of ASFV isolates from the past 70 years. Analyses focused on B646L, CP204L, and E183L genes from 356, 251, and 123 isolates, respectively. Phylogenetic analyses were achieved using maximum likelihood and Bayesian coalescence methods. A new lineage-based nomenclature is proposed to designate 35 different clusters. In addition, dating of ASFV origin was carried out from the molecular data sets. To avoid bias, diversity due to positive selection or recombination events was neutralized. The molecular clock analyses revealed that ASFV strains currently circulating have evolved over 300 years, with a time to the most recent common ancestor (TMRCA) in the early 18(th) century.

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Geographical breakdown

Country Count As %
Portugal 1 1%
Australia 1 1%
Unknown 75 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 26%
Student > Master 12 16%
Student > Ph. D. Student 10 13%
Student > Bachelor 7 9%
Student > Doctoral Student 5 6%
Other 12 16%
Unknown 11 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 31%
Veterinary Science and Veterinary Medicine 12 16%
Biochemistry, Genetics and Molecular Biology 11 14%
Medicine and Dentistry 5 6%
Arts and Humanities 2 3%
Other 5 6%
Unknown 18 23%