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Genetic association of DDIT 3, RPL 23A, SESN 2 and NR 4A1 genes with milk yield and composition in dairy cattle
Author(s) -
Li Y.,
Han B.,
Liu L.,
Zhao F.,
Liang W.,
Jiang J.,
Yang Y.,
Ma Z.,
Sun D.
Publication year - 2019
Publication title -
animal genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.756
H-Index - 81
eISSN - 1365-2052
pISSN - 0268-9146
DOI - 10.1111/age.12750
Subject(s) - biology , linkage disequilibrium , genetics , haplotype , gene , korean native , population , genetic association , snp , dairy cattle , single nucleotide polymorphism , genotype , food science , demography , sociology
Summary Previously, we identified by RNA sequencing that DDIT 3, RPL 23A, SESN 2 and NR 4A1 genes were significantly differentially expressed between the mammary glands of lactating Holstein cows with extremely high and low milk protein and fat percentages; thus, these four genes are considered as promising candidates potentially affecting milk yield and composition traits in dairy cattle. In the present study, we further verified whether these genes have genetic effects on milk traits in a Chinese Holstein population. By re‐sequencing part of the non‐coding and the entire coding regions of the DDIT 3, RPL 23A, SESN 2 and NR 4A1 genes, a total of 35 SNP s and three insertions/deletions were identified, of which three were found in DDIT 3 , 12 in RPL 23A , 16 in SESN 2 and seven in NR 4A1 . Moreover, two of the insertions/deletions—g.125714860_125714872del and g.125714806delins CCCC in SESN 2 —were novel and have not been reported previously. Subsequent single SNP analyses revealed multiple significant association with all 35 SNP s and three indels regressed against the dairy production traits ( P ‐value = <0.0001–0.0493). In addition, with a linkage disequilibrium analysis, we found one, one, three, and one haplotype blocks in the DDIT 3, RPL 23A, SESN 2 and NR 4A1 genes respectively. Haplotype‐based association analyses revealed that some haplotypes were also significantly associated with milk production traits ( P ‐value = <0.0001–0.0461). We also found that 12 SNP s and two indels (two in DDIT 3 , two in RPL 23A , nine in SESN 2 and one in NR 4A1 ) altered the specific transcription factor binding sites in the promoter, thereby regulating promoter activity, suggesting that they might be promising potential functional variants for milk traits. In summary, our findings first determined the genetic associations of DDIT 3, RPL 23A, SESN 2 and NR 4A1 with milk yield and composition traits in dairy cattle and also suggested potentially causal variants, which require in‐depth validation.