Fecha/hora: 16/06/2024 03:53:00

Biblioteca(s): | INIA Las Brujas.
Fecha corriente: | 15/11/2015
Fecha de la última actualización: | 09/10/2019
Autoria: | FRAGOMENI, B.O.; MISZTAL, I.; LOURENCO, D.L.; AGUILAR, I.; OKIMOTO, R.; MUIR, W.M.
Afiliación: | IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.
Título: | Changes in variance explained by top SNP windows over generations for three traits in broiler chicken
Año de publicación: | 2014
Fuente/Imprenta: | Frontiers in Genetics, 2014, v.5, no.Oct., Article number 332. OPEN ACCESS.
ISSN: | 1664-8021
DOI: | 10.3389/fgene.2014.00332
Idioma: | Inglés
Notas: | Article history: Published 01 October 2014.

Contenido:

ABSTRACT.

The purpose of this study was to determine if the set of genomic regions inferred as accounting for the majority of genetic variation in quantitative traits remain stable over multiple generations of selection. The data set contained phenotypes for five generations of broiler chicken for body weight, breast meat, and leg score. The population consisted of 294,632 animals over five generations and also included genotypes of 41,036 single nucleotide polymorphism (SNP) for 4,866 animals, after quality control. The SNP effects were calculated by a GWAS type analysis using single step genomic BLUP approach for generations 1-3, 2-4, 3-5, and 1-5. Variances were calculated for windows of 20 SNP. The top ten windows for each trait that explained the largest fraction of the genetic variance across generations were examined. Across generations, the top 10 windows explained more than 0.5% but less than 1% of the total variance. Also, the pattern of the windows was not consistent across generations. The windows that explained the greatest variance changed greatly among the combinations of generations, with a few exceptions. In many cases, a window identified as top for one combination, explained less than 0.1% for the other combinations. We conclude that identification of top SNP windows for a population may have little predictive power for genetic selection in the following generations for the traits here evaluated. 

© 2014 Fragomeni, Misztal, Lourenco, Aguilar, Okimoto and Muir.

Palabras-Clave: | Gene identification; Genome-wide association study; Genomic selection; QTL; SsGBLUP.
Thesagro: | MEJORAMIENTO GENETICO ANIMAL; POLLO DE ENGORDE.
Categoría del tema: | L10 Genética y mejoramiento animal
URL: | http://www.ainfo.inia.uy/digital/bitstream/item/5195/1/Aguilar-I.-2014.-Frontiers-in-Genetics.pdf
Registro original: | INIA Las Brujas (LB)
Ejemplares: | LB - (100814-1) - PXI - AP - DD - PP/Frontiers in Genetics/2014 -  -  - DIS