The equine arteritis virus isolate from the 2010 Argentinian outbreak

Autor: Metz, Germán Ernesto, Serena, María Soledad, Panei, Carlos Javier, Nosetto, Edgardo Omar, Echeverría, María Gabriela
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Zdroj: SEDICI (UNLP)
Universidad Nacional de La Plata
instacron:UNLP
Popis: A semen sample from a stallion infected during the 2010 equine arteritis virus (EAV) outbreak was received for viral isolation prior to castration of the animal. The virus was identified using a polyclonal antibody immunofluorescence test. Reverse-transcription polymerase chain reaction (RT-PCR) was used to amplify a region of the GP5 gene with primers GL105F and GL673R. The PCR products were purified and sequences of both strands were determined in a MegaBACE™ 1000 with inner primers CR2 and EAV32. A phylogenetic datasetwas built with the previously reported sequences of five strains isolated in Argentina, together with a group of selected sequences obtained from GenBank. The unrooted neighbour- joining tree was constructed using molecular evolutionary genetic analysis (MEGA) and bootstrap analyses were conducted using 1,000 replicate datasets. Evolutionary distances were computed using the maximum composite likelihood method. A NetNGIyc server analysis at the Technical University of Denmark (www.cbs.dtu.dk/services/NetNGIyc/) was used to predict N-glycosylation in GP5 sequences. The phylogenetic analysis revealed that the new strain (GLD-LP-ARG), together with other strains previously isolated, belongs to the European group EU-1 but in a different branch. The new strain shows 99% nucleotide identity with strain A1 and 98.1% with the Belgian strain 08P178. Persistently infected stallions and their cryopreserved semen constitute a reservoir of EAV, which ensures its persistence in the horse population around the world. These findings reinforce the importance of careful monitoring of persistently infected stallions, as well as semen straws, by RT-PCR ortest mating, in accordance with national regulations.
Facultad de Ciencias Veterinarias
Databáze: OpenAIRE