cienciatk   Consejo Superior de Investigaciones Científicas
  Buscador de contenidos      Búsqueda Avanzada >>
  RSS

Bullet  ¿Qué es Cienciatk?

linea separacion

  FONDO DOCUMENTAL
Bullet  Documentos por categorías
Bullet  Documentos por colección
Bullet  Novedades


linea separacion

  ATENCIÓN AL USUARIO
Bullet  Preguntas frecuentes
Bullet  Aportación de fondos
Bullet  Contacto


linea separacion
Acceso a usuarios
    E V E N T O
        Multigene Family Evolution: Patterns and processes of gene gain and loss
R E T R A N S M I S I Ó N
Video

Próximamente >>
Todas los vídeos están asociadas a sus respectivos derechos de autor.

Duración: 01:00 hs.

SEMINARIOS MNCN

 
Viernes 19 de octubre, 12h.

Salón de Actos. Museo Nacional de Ciencias Naturales.

 

This lecture will be held in English.

 

 

Title: "Multigene Family Evolution: Patterns and processes of gene gain and loss"

Título: "Evolución de las familias multigénicas: Patrones y procesos de ganacia y pérdida de genes"

 

Ponente: Dr. Julio Rozas. Catedrático de Genética. Universidad Central de Barcelona

 

Presenta: Dr. Rafael Zardoya. Dpto. de Biodiversidad y Biología Evolutiva. Museo Nacional de Ciencias Naturales, CSIC

 

 

 

Resumen:

The chemosensory system is essential for the survival and reproduction of organisms. In insects, it allows the detection of food and predators, as well as the discrimination of soluble stimulants that elicit feeding behaviours and initiate innate sexual and reproductive responses. The first steps of the chemosensory process are mediated by extracellular ligand-binding (OBP and CSP) and membrane receptor (OR, GR and IR) proteins, which are encoded in moderately-sized multigene families. Here, I examine the mechanisms determining the origin, maintenance and evolutionary fate of the chemosensory gene families at different levels.


We inferred that the chemosensory families, as most gene families, are highly dynamic with high turnover rates and evolve under the birth-and-death process. Currently, several stochastic birth-and-death models and programs have been developed to analyze gene family dynamics. Nevertheless, these programs have some drawbacks, including unrealistic assumptions about gene family evolution, or the inability to specify branch models. We have developed BadiRate, a likelihood-based method that implements five different stochastic population models to estimate family turnover rates (birth, gain, death, innovation), as well as the most likely ancestral gene family size. Moreover, the method allows detecting expanding/contracting gene families and phylogenetic lineages with extreme turnover rates. These families and lineages are good candidates to further analyse the evolutionary processes shaping gene copy number variation.

 

 

 

Nota: Instalación de QuickTime necesaria para la reproducción de este vídeo streaming.


Note: Please install quicktime if you can't see video streaming.


Sigue este seminario de investigación en Twitter: #SeminarioMNCN

 

 

Resolución mínima: 1024 x 768 Navegadores: Firefox 3.5.1/Internet Explorer 7.0
Todas las imágenes, vídeos y audios están protegidas por sus respectivos derechos de autor
Logos