Genome-wide CNV analysis reveals variants associated with growth traits in Bos indicus. (December 2016)

• Record Type: Journal Article
• Authors: Zhou, Yang; Utsunomiya, Yuri; Xu, Lingyang; Hay, El; Bickhart, Derek; Alexandre, Pamela; Rosen, Benjamin; Schroeder, Steven; Carvalheiro, Roberto; de Rezende Neves, Haroldo; Sonstegard, Tad; Van Tassell, Curtis; Ferraz, José; Fukumasu, Heidge; Garcia, Jose; Liu, George
• Is Part Of: BMC genomics. Volume 17:Number 1(2016)
• Page Start: 1
• Page End: 9
• Publication Date: 2016-12
• Subjects: Copy number variation (CNV) -- EBV -- Association -- Body size -- Bos indicus; Genomes -- Periodicals; Gene mapping -- Periodicals; Genomics -- Periodicals; Base Sequence -- Periodicals; Chromosome Mapping -- Periodicals; Genetic Techniques -- Periodicals; Sequence Analysis, DNA -- Periodicals; 572.8605
• DOI: 10.1186/s12864-016-2461-4
• Languages: English
• ISSNs: 1471-2164

Abstract

Abstract Background Apart from single nucleotide polymorphism (SNP), copy number variation (CNV) is another important type of genetic variation, which may affect growth traits and play key roles for the production of beef cattle. To date, no genome-wide association study (GWAS) for CNV and body traits in beef cattle has been reported, so the present study aimed to investigate this type of association in one of the most important cattle subspecies:Bos indicus (Nellore breed). Results We have used intensity data from over 700, 000 SNP probes across the bovine genome to detect common CNVs in a sample of 2230 Nellore cattle, and performed GWAS between the detected CNVs and nine growth traits. After filtering for frequency and length, a total of 231 CNVs ranging from 894 bp to 4, 855, 088 bp were kept and tested as predictors for each growth trait using linear regression analysis with principal components correction. There were 49 significant associations identified among 17 CNVs and seven body traits after false discovery rate correction (P < 0.05). Among the 17 CNVs, three were significant or marginally significant for all the traits. We have compared the locations of associated CNVs with quantitative trait locus and the RefGene database, and found two sets of 9 CNVs overlapping with either known QTLs or genes, respectively. The gene overlapping with CNV100, KCNJ12, is a functional candidate for muscle development and plays critical roles in muscling traits. Conclusion This study presents the first CNV-based GWAS of growth traits using high density SNP microarray data in cattle. We detected 17 CNVs significantly associated with seven growth traits and one of them (CNV100) may be involved in growth traits throughKCNJ12 .