Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/101929
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Detection of SJNNV and RGNNV genotypes using a relative quantification RT-PCR assay |
Autor: | Cherif, N.; López-Jimena, B.; García Raso, J. Enrique; Cano, I. CSIC; Castro, D.; Borrego, Juan J.; Alonso, M. C.; Hammami, S. | Fecha de publicación: | jun-2011 | Editor: | Wiley-Blackwell | Citación: | Journal of Applied Ichthyology 27(3): 805-812 (2011) | Resumen: | Viral Encephalopathy and Retinopathy (VER), is caused by a nodavirus included within the Betanodavirus genus of the Nodaviridae family. This disease affects more than 30 marine fish species worldwide and has been a major obstacle in the aquaculture industry; control of the disease is based on virus detection, essentially in carrier specimens. This study describes a real time PCR procedure for viral nervous necrosis virus detection from several organs of sea bass, Senegalese sole, and gilt-head sea bream, from fish displaying either clinical symptoms or asymptomatic cases. The sensitivity of this technique was about 106-fold higher than that of the conventional RT-PCR. The newly designed primers detected nodavirus isolates belonging to the RGNNV and SJNNV genotypes. © 2010 Blackwell Verlag, Berlin. | URI: | http://hdl.handle.net/10261/101929 | DOI: | 10.1111/j.1439-0426.2010.01592.x | Identificadores: | doi: 10.1111/j.1439-0426.2010.01592.x issn: 0175-8659 e-issn: 1439-0426 |
Aparece en las colecciones: | (ICMAN) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
accesoRestringido.pdf | 15,38 kB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
SCOPUSTM
Citations
6
checked on 22-abr-2024
WEB OF SCIENCETM
Citations
6
checked on 26-feb-2024
Page view(s)
319
checked on 24-abr-2024
Download(s)
114
checked on 24-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.