Įlsik CG, Unni DR, Diesh CM, Tayal A, Emery ML, Nguyen HN, Hagen DE (2016) Bovine Genome Database: new tools for gleaning function from the Bos taurus genome. Genet Mol Biol 37:330–342Įdea Z, Dadi H, Kim SW, Dessie T, Lee T, Kim H, Kim JJ, Kim KS (2013) Genetic diversity, population structure and relationships in indigenous cattle populations of Ethiopia and Korean Hanwoo breeds using SNP markers. ĭe Simoni Gouveia JJ, da Silva MV, Paiva SR, de Oliveira SM (2014) Identification of selection signatures in livestock species.
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Ĭhen Z, Yao Y, Ma P, Wang Q, Pan Y (2018) Haplotype-based genome-wide association study identifies loci and candidate genes for milk yield in Holsteins. Ĭhen M, Pan D, Ren H, Fu J, Li J, Su G, Wang A, Jiang L, Zhang Q, Liu JF (2016) Identification of selective sweeps reveals divergent selection between Chinese Holstein and Simmental cattle populations. Ĭhen H, Patterson N, Reich D (2010) Population differentiation as a test for selective sweeps. Ĭasas E, Shackelford SD, Keele JW, Koohmaraie M, Smith TP, Stone RT (2003) Detection of quantitative trait loci for growth and carcass composition in cattle. īrito LF, Kijas JW, Ventura RV, Sargolzaei M, Porto-Neto LR, Canovas A, Feng Z, Jafarikia M, Schenkel FS (2017) Genetic diversity and signatures of selection in various goat breeds revealed by genome-wide SNP markers. This study provides a foundation for detailed analysis of the identified putative selection signatures in the cattle genome particularly of the indigenous and locally-developed cattle breeds and provides an avenue for a well-structured breed improvement.īahbahani H, Tijjani A, Mukasa C et al (2017) Signatures of selection for environmental adaptation and Zebu × Taurine hybrid fitness in east African shorthorn Zebu. Moreover, candidate selected regions that overlap with QTL reported in the cattle QTL database provided additional evidence for the significance of the detected regions under selection. The results revealed multiple genomic regions as well as multiple new genes under positive selection on BTA14 and BTA17. Study of the reported QTLs in these regions of the bovine genome has showed that they are associated with important traits such as milk, reproduction and production traits. In addition, nine genes were identified in regions harboring selection signatures, such as KCNQ3, HHLA1, OC90, EFR3A, ADCY8, ASAP1, TMEM132B, and TMEM132C. ResultsĪ total of eight significant regions ( P < 0.0001) of possible recent selection signatures were detected on BTA14 and BTA17.
Selection signatures analysis was performed using the integrated haplotype score (iHS) methodology. Samples from 20 animals were genotyped for 777,962 SNPs across the genome using the Illumina BovineHD BeadChip. The aim of this study was to detect any traces of recent selection signatures as well as to identify corresponding genes and QTLs underlying these selection signatures in Sarabi cattle. The identification of genomic regions under selection can potentially permit a better understanding of the biology of the specific phenotypes which are useful for the development of tools designed to increase selection efficiency.
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