407V Poster Online - Virtual Posters
Tuesday June 07, 11:00 AM - 3:00 PM

Authors:
Lida Taherkhani ³; Mohammad Hossein Banabazi ^1,2; Naser Emamjomeh-Kashan ³; Alireza Noshary ⁴; Ikhide G. Imumorin ⁵

Affiliations:
1) Department of Biotechnology, Animal Science Research Institute of Iran (ASRI), Agricultural Research, Education & Extension Organization (AREEO), Karaj 3146618361, Iran; 2) Department of animal breeding and genetics (HGEN), Centre for Veterinary Medicine and Animal Science (VHC), Swedish University of Agricultural Sciences (SLU), Uppsala 75007, Sweden. ; 3) Department of Animal Science, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran; 4) Department of Animal Science, Karaj Branch, Islamic Azad University, Karaj, Iran; 5) School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA

Keywords:
Genomic selection/prediction

Milk yield (MY) is highly heritable and an economically important trait in dairy livestock species. To detect the candidate genomic regions for this trait, we did a meta-analysis on genome-wide association studies (GWAS). In the present study, nineteen studies were resulted from web searching on PubMed and journals. Only studies were reviewed and included in the meta-analysis that passed the intended filters. Then was extracted and recorded chromosome number, detected markers and their position, number of animals, and P-value was extracted from these studies and recorded. Finally, this study was done with 16 GWAS studies, a total 353,698 cows, and 3,950 markers. The pooled data were analyzed METAL software. Our findings revealed 1,712 significant (P-value < 2.5×10-6) genomic loci related to milk yield trait. In addition, gene ontology (GO) was used to explore the biological functions of the genes underlying the significant SNP markers associated with milk yield. Our findings showed the associated markers with the studied trait are spreading on all of the bovine autosomal and sexual chromosomes. But, they are higher dense and significant on a few specific regions of chromosome 14. A comparative transcriptome coverage between two bovine subspecies (bos indicus vs. bos taurus) confirmed the main contribution of these regions in milk production. In addition, the significant SNPs located in these regions may be addressed as candidate markers to design an array specifically for genomic evaluations of the milk yield trait.