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Research Project: ENHANCING GENETIC MERIT OF DAIRY CATTLE THROUGH GENOME SELECTION AND ANALYSIS

Location: Bovine Functional Genomics

Title: Analysis of copy number variation in the bovine genome

Authors

Submitted to: Plant and Animal Genome VX Conference Abstracts
Publication Type: Abstract
Publication Acceptance Date: November 26, 2007
Publication Date: January 12, 2008
Citation: Liu, G., Van Tassell, C.P., Sonstegard, T.S., Li, R.W., Alexander, L.J., Keele, J.W., Matukumalli, L.K., Brown, T., Smith, T.P., Gasbarre, L.C. 2008. Analysis of copy number variation in the bovine genome. Plant and Animal Genome (PAG) XVI Conference. San Diego, CA. p517.

Technical Abstract: We initiated a systematic study of the copy number variation (CNV) within the Bovine HapMap cattle population using array comparative genomic hybridization (array CGH). Oligonucleotide CGH arrays were designed and fabricated to provide a genome-wide coverage with an average interval of 6 kb using the newest version of bovine genome assembly. In the initial screening, three Holstein bulls were selected to represent major branches of the Holstein breed with some maternal linkages between branches. Dual-label hybridizations were performed using either Hereford L1 Dominette 01449 or L1 Domino 99375 as reference. The CNVs were represented by gains and losses of normalized fluorescence intensities relative to the reference. Our data, for the first time, demonstrated that significant amounts of CNV exist in cattle; many CNVs are common both across diverse cattle breeds and among individuals within a breed; and array CGH is an effective way to detect these bovine CNVs. Selected CNVs were further successfully confirmed by independent methods using Q-PCR. We are also investigating the frequency, pattern and impact of such CNVs in cattle to probe their utility in improving selection for health, well-being and productive efficiency of cattle. Our strategy based on genome higher-order architecture variation is a powerful approach to identify novel genomic variation and candidate genes for important economic traits.

   

 
Project Team
Sonstegard, Tad
Liu, Ge
Van Tassell, Curtis - Curt
 
Publications
   Publications
 
Related National Programs
  Food Animal Production (101)
 
Related Projects
   APPLICATION OF BIOINFORMATICS TO LIVESTOCK GENOMES
   LARGE SCALE BOVINE SNP GENOTYPING FOR GENOMIC SELECTION AND HAPMAP DEVELOPMENT
   BOVINE COPY NUMBER POLYMORPHISM AND ITS IMPLICATION IN EARLY EMBRYONIC LOSS
   FUNCTIONAL GENOMICS AND PROTEONOMICS FOR IMPROVED CLONING EFFICIENCY
   CHARACTERIZATION OF STRUCTURAL VARIATIONS IN LIVESTOCK GENOMES
   GENOME SIGNATURE OF ARTIFICIAL SELECTION AND GENOME-WIDE ASSOCIATION ANALYSIS IN HOLSTEIN COWS
   DISCOVERY OF GENETIC VARIATION THAT ENHANCES GENETIC IMPROVEMENT OF DAIRY PRODUCTION AND HEALTH IN CATTLE AND BUFFALOS
   IMPLEMENTATION OF WHOLE GENOME SELECTION IN THE U.S. DAIRY AND BEEF CATTLE INDUSTRIES
 
 
Last Modified: 11/07/2008
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