PCR-based detection and partial characterization of a retrovirus associated with contagious intranasal tumors of sheep and goats

Cousens, C., Minguijon, E., Garcia, M., Ferrer, L.M., Dalziel, R.G., Palmarini, M. , De las Heras, M. and Sharp, J.M. (1996) PCR-based detection and partial characterization of a retrovirus associated with contagious intranasal tumors of sheep and goats. Journal of Virology, 70(11), pp. 7580-7583.

Abstract

A type D-related retrovirus has been demonstrated in enzootic nasal tumors (ENTs) of sheep and goats. This retrovirus, ENT virus (ENTV), has antigenic cross-reactivity with the jaagsiekte sheep retrovirus (JSRV), which is associated with a contagious lung tumor of sheep (sheep pulmonary adenomatosis). Here, we present the first report of nucleic acid sequence from ENTV which confirms, at the nucleic acid level, that this retrovirus is related to JSRV yet apparently distinct from it. Reverse transcription-PCR followed by restriction enzyme digestion specifically identified ENTV. By this technique, ENTV was demonstrated exclusively in tumor tissues and exudates of animals with ENT. Thus, there is a unique and consistent association between ENT and the retrovirus, just as there is between JSRV and sheep pulmonary adenomatosis. This gives further weight to the hypothesis that these retroviruses are the etiologic agents of the tumors.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Palmarini, Professor Massimo
• Authors: Cousens, C., Minguijon, E., Garcia, M., Ferrer, L.M., Dalziel, R.G., Palmarini, M., De las Heras, M., and Sharp, J.M.
• Subjects: S Agriculture > SF Animal culture > SF600 Veterinary Medicine; Q Science > QR Microbiology > QR355 Virology
• College/School: College of Medical Veterinary and Life Sciences > School of Infection & Immunity; College of Medical Veterinary and Life Sciences > School of Infection & Immunity > Centre for Virus Research
• Journal Name: Journal of Virology
• Journal Abbr.: J. Virol.
• ISSN: 0022-538X
• ISSN (Online): 1098-5514