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Genotyping Porcine Circovirus 3 (PCV-3) Nowadays: Does It Make Sense?
Franzo, Giovanni; Delwart, Eric; Fux, Robert; Hause, Ben; Su, Shuo; Zhou, JiYong; Segalés, Joaquim.
Afiliación
  • Franzo G; Department of Animal Medicine, Production and Health (MAPS), Padua University,35020 Legnaro, Italy.
  • Delwart E; Vitalant Research Institute, San Francisco, CA 94118, USA.
  • Fux R; Department of Laboratory Medicine, University of California, San Francisco, CA 94118, USA.
  • Hause B; Institute for Infectious Diseases and Zoonoses, Department for Veterinary Sciences, LMU Munich, 80539 Munich, Germany.
  • Su S; Kansas State Veterinary Diagnostic Laboratory, Kansas State University, Manhattan, KS 66506, USA.
  • Zhou J; MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China.
  • Segalés J; MOA Key Laboratory of Animal Virology and Department of Veterinary Medicine, Zhejiang University, Hanghou 310058, China.
Viruses ; 12(3)2020 02 28.
Article en En | MEDLINE | ID: mdl-32121102
ABSTRACT
The discovery of a globally distributed porcine circovirus (Porcine circovirus 3; PCV-3) has led to intense research activity and the production of a large amount of molecular data. Different research groups have proposed several, not always concordant, genotypes for this virus. While such categories could aid an easier interpretation of PCV-3 molecular epidemiology, any classification, to be useful in practical settings, must be univocal and of help in the understanding of underlying biological features and epidemiology. Based on these premises, the possibility of defining PCV-3 genotypes was evaluated on the broadest available dataset of PCV-3 complete genome (n = 357) and open reading frame 2 (ORF2, n = 653) sequences. Genetic distance and phylogenetic clustering were selected as the main objective criteria. Additional factors, including the number of within-cluster sequences, host and geographic clustering, concordance between different genomic regions, and analysis method were also taken in account to generate a classification that could be effectively applied in research and diagnostic settings. A maximum within-genotype genetic distance of 3% at the complete genome and 6% at the ORF2 levels, bootstrap support higher than 90%, and concordance between analysis methods allowed us to clearly define two clades which could be potentially defined as genotypes. Further subdivision was not suggested due to the absence of a meaningful association between PCV-3 and its biological/epidemiological features. Nevertheless, since one of the clades included two strains only, thus far we formally propose the definition of only one PCV-3 genotype (PCV-3a). The established criteria will allow us to automatically recognize other genotypes when more strain sequences are characterized.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedades de los Porcinos / Genoma Viral / Circovirus / Infecciones por Circoviridae / Técnicas de Genotipaje / Genotipo Límite: Animals Idioma: En Revista: Viruses Año: 2020 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedades de los Porcinos / Genoma Viral / Circovirus / Infecciones por Circoviridae / Técnicas de Genotipaje / Genotipo Límite: Animals Idioma: En Revista: Viruses Año: 2020 Tipo del documento: Article País de afiliación: Italia