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Genetic variation in Influenza virus type A: possible consequences in molecular diagnosis

Comunicación oral en 5th Annual Scientific Meeting on Zoonoses Research in Europe

3 de junio de 2009

Garcia N.

Single-stranded RNA viruses, like Influenza virus, are considered the most widespread zoonotic emerging and reemerging pathogens. A possible explanation of this fact is the high nucleotide substitution rate of this type of viruses, which permit them a rapid adaptation to new environments and hosts, even crossing the species barrier. Nevertheless this high genetic variation is an important disadvantage not only for the treatment of the serious diseases that they can produce, but also for the diagnostic methods. Avian influenza (AI), caused by influenza virus type A, is a good example of this type of pathogens. One-step Reverse Real Time PCR (RRT-PCR) is the most widely used molecular method for AI virus detection, targeting the matrix protein gene (M-gene) that is considered well conserved among all these viruses





Participantes:

Universidad ComplutenseServicio de Zoonosis Emergentes, de Baja Prevalencia y Agresivos Biológicos (NED). Centro de Vigilancia Sanitaria Veterinaria (VISAVET). Universidad Complutense (UCM).


Enlace a 5th Annual Scientific Meeting on Zoonoses Research in Europe





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5th Annual Scientific Meeting on Zoonoses Research in Europe


5ª Reunión Cientí­fica Anual de Investigación de las Zoonosis en Europa
3-6 junio de 2009
El Escorial
España

TÍTULO: Genetic variation in Influenza virus type A: possible consequences in molecular diagnosis


TIPO: Comunicación oral


AUTORES: Garcia N.


PARTICIPANTES VISAVET


Nerea García Benzaquén

FECHA: 3 de junio de 2009



CITA ESTA COMUNICACIÓN:

Garcia N. Genetic variation in Influenza virus type A: possible consequences in molecular diagnosis. 5th Annual Scientific Meeting on Zoonoses Research in Europe, European Network for the Prevention and Control of Zoonoses and Food Borne Diseases, El Escorial, España, 3 de junio de 2009. (Comunicación oral)


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