0330 Genome-wide associations study for somatic cell score in Russian Holstein cattle population.
- A. A. Sermyagin *,
- E. A. Gladyr’ and
- N. A. Zinovieva
The cattle health traits are one of the most important selection features but their improvement in short term is limited by low heritability. For the Russian Holsteins the utilization of fitness traits such as metabolic disorders, genetic diseases and especially udder health became the main goals. The developing new methods in dairy cattle have prompted us to find out associations between SNPs and sires’ genomic enhanced breeding values (GEBV) for somatic cell score (SCS) to understand the additive genetic contribution to potential mastitis resistance. According to the first step for implementation of genomic selection in Russia we genotyped 256 bulls using Illumina BovineSNP50 BeadChip. The field records for somatic cell count (SCC) in the milk of 3419 first-calving daughters of 141 Holstein sires from 26 herds were included in the dataset. For sires with daughters’ records we calculated the deregressed estimated breeding values (EBV) using BLUP AM. For the sires without SCC daughters’ records we got the direct genomic values (DGV) calculated through GBLUP. The DGVs with the EBVs or parents’ averages were combined using weight 0.8 to get GEBV as pseudo-phenotypes for common dataset. After quality check in Plink 1.9, the 41383 SNPs were taken for further analysis. The heritability coefficients for SCC and SCS were 0.202 and 0.142, respectively. We detected 10, 67, and 289 significant SNPs using Bonferroni (P < 1.21 × 10−6), permutation procedure (1 × 106 numbers per SNP) and FDR (P < 0.05) tests, respectively. The most of the closest and functional related genes involved for cellular, metabolic and immune functions were signed to SNPs: rs41981595 (TRNAC-ACA, P = 2.7 × 10−10), rs109696042 (TCIRG1, P = 1.3 × 10−7), rs109799695 (ACO1, P = 1.6 × 10−7), rs29026486 (UQCC, P = 7.5 × 10−7) and rs43298370 (CERS6, P = 1.2 × 10−6). Additive genetic variances for these genes ranged from 9.0 to 14.9%. The most of considerable polymorphisms were identified on chromosomes 2, 4, 8, 9, 13, 20, 21, and 29. Some SNPs without a clear causal mutation for SCS were identified (rs109186647, rs110041812, rs41633009, rs110507090 and rs41589293). Our knowledges of gene distribution and quantitative trait loci for SCC combined with the bulls’ mating strategy allow decreasing the incidence of mammary gland infection in Russian Holstein population. Supported by the Russian Scientific Foundation, project number 15–16–00020.Please view the pdf by using the Full Text (PDF) link under 'View' to the left.
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