Genomics

Dataset Information

0

244K array Comparative Genomic Hybridization for the characterization of CNVs among inbred Fayoumi, inbred Leghorn, Line A broiler, and Line B broiler chicken


ABSTRACT: Chromosomal structural variation can cause alterations in gene dosage and gene regulation between genomes. Structural variants producing a change in the number of copies of a genomic region are termed copy number variants (CNVs). CNVs have been demonstrated to have causative effects on both Mendelian and complex traits, including susceptibility to infectious diseases. We are interested in mapping CNVs to domesticated chicken breeds to help determine structural variation between genomes that influences economically important traits. For this study, Fayoumi, Leghorn, Line A broiler and Line B broiler chicken were chosen. Fayoumi and Leghorn chickens were selected as these two breeds harbor different responses certain pathogens like Avian Influenza Virus and coccidiosis; Broiler Line A and Line B indivduals were chosen as they harbor different intestinal colonization loads to the bacterium Campylobacter jejuni. Campylobacter genetic Line A and genetic Line B are from a commercial producer have been previously described as either resistant (Line A) or susceptible (Line B). Highly inbred chicken lines Fayoumi M15.2 (n=6) and Leghorn GHs6 (n=6) and broilers from Line A (n=24 individuals in pools of 4) and Line B (n=24 individuals in pools of 4)were subjected to array Comparative Genomic Hybridization (aCGH). Each sample was normalized to a Red Jungle Fowl reference. CNVs for each individual and between lines were determined. The major goal of this study was to discover and characterize CNVs in chickens to further narrow in on Quantitative Trait Loci (QTLs) affecting disease response.

ORGANISM(S): Gallus gallus

PROVIDER: GSE44440 | GEO | 2016/02/11

SECONDARY ACCESSION(S): PRJNA189977

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2016-02-11 | E-GEOD-44440 | biostudies-arrayexpress
2006-04-23 | GSE2562 | GEO
2006-06-01 | GSE4273 | GEO
2010-07-01 | E-GEOD-4273 | biostudies-arrayexpress
2010-06-11 | E-GEOD-2562 | biostudies-arrayexpress
2015-06-28 | E-GEOD-56975 | biostudies-arrayexpress
2021-11-01 | GSE181619 | GEO
2015-06-28 | GSE56975 | GEO
| PRJNA189977 | ENA
2010-06-11 | GSE19469 | GEO