RESUMEN
In 2015 and 2016, Senecavirus A (SVA) emerged as an infectious disease in Brazil, China and the United States (US). In a Colombian commercial swine farm, vesicles on the snout and coronary bands were reported and tested negative for foot-and-mouth disease virus (FMDv), but positive for SVA. The whole-genome phylogenetic analysis indicates the Colombian strain clusters with the strains from the United States, not with the recent SVA strains from Brazil.
Asunto(s)
Genoma/genética , Infecciones por Picornaviridae/veterinaria , Picornaviridae/aislamiento & purificación , Enfermedades de los Porcinos/virología , Secuenciación Completa del Genoma/veterinaria , Animales , Colombia/epidemiología , Granjas , Filogenia , Picornaviridae/genética , Infecciones por Picornaviridae/epidemiología , Infecciones por Picornaviridae/virología , Porcinos , Enfermedades de los Porcinos/epidemiologíaRESUMEN
Senecavirus A (SVA) is the only member of the genus Senecavirus within the family Picornaviridae. This virus was discovered as a serendipitous finding in 2002 (and named Seneca Valley virus 001 [SVV-001]) while cultivating viral vectors in cell culture and has been proposed for use as an oncolytic virus to treat different types of human neoplasia. SVA was found in lesions in pigs affected by porcine idiopathic vesicular disease in Canada and the USA in 2008 and 2012, respectively. In 2014 and 2015, SVA infection was associated with outbreaks of vesicular disease in sows as well as neonatal pig mortality in Brazil and the USA. Phylogenetic analysis of the SVA VP1 indicates the existence of 3 clades of the virus. Clade I contains the historical strain SVV-001, clade II contains USA SVA strains identified between 1988 and 1997, and clade III contains global SVA strains from Brazil, Canada, China, and the USA identified between 2001 and 2015. The aim of this review is to draw the attention of veterinarians and researchers to a recently described infectious clinical-pathologic condition caused by a previously known agent (SVA). Apart from the intrinsic interest in a novel virus infecting pigs and causing economic losses, the major current concern is the similarity of the clinical picture to that of other swine diseases, because one of them-foot and mouth disease-is a World Organization for Animal Health-listed disease. Because the potential association of SVA with disease is rather new, there are still many questions to be resolved.
Asunto(s)
Infecciones por Picornaviridae/veterinaria , Picornaviridae , Enfermedades de los Porcinos/virología , Animales , Epidemiología Molecular , Filogenia , Picornaviridae/clasificación , Picornaviridae/genética , Porcinos/virologíaRESUMEN
Numerous, ongoing outbreaks in Brazilian swine herds have been characterized by vesicular lesions in sows and acute losses of neonatal piglets. The complete genome of Seneca Valley virus (SVV) was identified in vesicular fluid and sera of sows, providing evidence of association between SVV and vesicular disease and viraemia in affected animals.
Asunto(s)
Brotes de Enfermedades/veterinaria , Genoma Viral , Infecciones por Picornaviridae/veterinaria , Picornaviridae/genética , Enfermedades de los Porcinos/virología , Animales , Brasil/epidemiología , Femenino , Datos de Secuencia Molecular , Filogenia , Picornaviridae/clasificación , Infecciones por Picornaviridae/genética , ARN Viral/análisis , Análisis de Secuencia de ADN , Porcinos , Enfermedades de los Porcinos/epidemiologíaRESUMEN
A basic requirement for on-off intermittency to occur is that the system possesses an invariant subspace. We address how on-off intermittency manifests itself when a perturbation destroys the invariant subspace. In particular, we distinguish between situations where the threshold for measuring the on-off intermittency in numerical or physical experiments is much larger than or is comparable to the size of the perturbation. Our principal result is that, as the perturbation parameter increases from zero, a metamorphosis in on-off intermittency occurs in the sense that scaling laws associated with physically measurable quantities change abruptly. A geometric analysis, a random-walk model, and numerical computations support the result.