Análisis bayesiano para la detección de huellas de selección en poblaciones de vacuno de carne español

• A. Gonzalez Rodriguez ^[1] ; S. Munilla ^[1] ; E.F. Mouresan ^[1] ; J.J. Cañas Alvarez ^[1] ; J.A. Baro ^[1] ; A. Molina ^[1] ; C. Diaz ^[1] ; J. piedrafita ^[1] ; J. Altarriba ^[1] ; L. Varona ^[1]
  1. [1] Universidad de Zaragoza

     Universidad de Zaragoza

     Zaragoza, España

     
• Localización: XVI Jornadas sobre Producción Animal: 19 y 20 de mayo de 2015, Zaragoza / Javier Álvarez Rodríguez (aut.), Begoña Panea Doblado (aut.), Jorge Hugo Calvo Lacosta (aut.), Mireia Blanco Alibés (aut.), José Alfonso Abecia Martínez (aut.), Daniel Villalba Mata (aut.), María Ángeles Latorre Górriz (aut.), Vol. 2, 2015, ISBN 978-84-606-7969-1, págs. 561-563
• Idioma: español
• Títulos paralelos:
  • Bayesian analysis to detecting selection footprints in the spanish populations of beef cattle
• Enlaces
  • Texto Completo Libro
• Resumen

  • The BovineHD 770K BeadChip was used on 171 triplets (sire/dam/offspring) from seven Spanish local beef cattle breeds (Asturiana de los Valles, Avileña-Negra Ibérica, Morucha, Bruna dels Pirineus, Pirenaica, Retinta and Rubia Gallega). The parents were chosen to be as unrelated as possible. We use the software SELESTIM to identify loci targeted by a selection process and also to estimate the strength and the allele of selection within each subgroup. This approach showed five genomic regions with maximum signal, some of these have a clear candidate gen as BTA2 (MTSN-Myostatin), BTA5 (KITLG-KITLigand) and BTA18 (MC1R-Melanocortin1 receptor); while the located in BTA6 and BTA11 can be associated with several genes.