Cecchinato A, Ribeca C, Chessa S, Cipolat-Gotet C, Maretto F, Casellas J, Bittante G
1Department of Agronomy,Food,Natural Resources,Animals and Environment (DAFNAE),University of Padova,Viale dell'Università 16,35020 Legnaro,Italy.
2Istituto di Biologia e Biotecnologia Agraria,Consiglio Nazionale delle Ricerche (CNR),via Einstein,26900 Lodi,Italy.
Animal. 2014 Jul;8(7):1062-70. doi: 10.1017/S1751731114001098. Epub 2014 May 7.
The aim of this study was to investigate 96 single-nucleotide polymorphisms (SNPs) from 54 candidate genes, and test the associations of the polymorphic SNPs with milk yield, composition, milk urea nitrogen (MUN) content and somatic cell score (SCS) in individual milk samples from Italian Brown Swiss cows. Milk and blood samples were collected from 1271 cows sampled once from 85 herds. Milk production, quality traits (i.e. protein, casein, fat and lactose percentages), MUN and SCS were measured for each milk sample. Genotyping was performed using a custom Illumina VeraCode GoldenGate approach. A Bayesian linear animal model that considered the effects of herd, days in milk, parity, SNP genotype and additive polygenic effect was used for the association analysis. Our results showed that 14 of the 51 polymorphic SNPs had relevant additive effects on at least one of the aforementioned traits. Polymorphisms in the glucocorticoid receptor DNA-binding factor 1 (GRLF1), prolactin receptor (PRLR) and chemokine ligand 2 (CCL2) were associated with milk yield; an SNP in the stearoyl-CoA desaturase (SCD-1) was related to fat content; SNPs in the caspase recruitment domain 15 protein (CARD15) and lipin 1 (LPIN1) affected the protein and casein contents; SNPs in growth hormone 1 (GH1), lactotransferrin (LTF) and SCD-1 were relevant for casein number; variants in beta casein (CSN2), GH1, GRLF1 and LTF affected lactose content; SNPs in beta-2 adrenergic receptor (ADRB2), serpin peptidase inhibitor (PI) and SCD-1 were associated with MUN; and SNPs in acetyl-CoA carboxylase alpha (ACACA) and signal transducer and activator of transcription 5A (STAT5A) were relevant in explaining the variation of SCS. Although further research is needed to validate these SNPs in other populations and breeds, the association between these markers and milk yield, composition, MUN and SCS could be exploited in gene-assisted selection programs for genetic improvement purposes.
本研究旨在调查来自54个候选基因的96个单核苷酸多态性(SNP),并测试这些多态性SNP与意大利褐瑞士奶牛个体乳样中的产奶量、成分、乳尿素氮(MUN)含量和体细胞评分(SCS)之间的关联。从85个牛群中抽取1271头奶牛,每头牛采集一次乳样和血样。对每个乳样测量产奶量、质量性状(即蛋白质、酪蛋白、脂肪和乳糖百分比)、MUN和SCS。使用定制的Illumina VeraCode GoldenGate方法进行基因分型。关联分析采用贝叶斯线性动物模型,该模型考虑了牛群、泌乳天数、胎次、SNP基因型和加性多基因效应。我们的结果表明,51个多态性SNP中的14个对上述至少一个性状具有显著的加性效应。糖皮质激素受体DNA结合因子1(GRLF1)、催乳素受体(PRLR)和趋化因子配体2(CCL2)中的多态性与产奶量相关;硬脂酰辅酶A去饱和酶(SCD - 1)中的一个SNP与脂肪含量相关;胱天蛋白酶募集结构域15蛋白(CARD15)和脂联素1(LPIN1)中的SNP影响蛋白质和酪蛋白含量;生长激素1(GH1)、乳铁蛋白(LTF)和SCD - 1中的SNP与酪蛋白数相关;β - 酪蛋白(CSN2)、GH1、GRLF1和LTF中的变异影响乳糖含量;β - 2肾上腺素能受体(ADRB2)、丝氨酸蛋白酶抑制剂(PI)和SCD - 1中的SNP与MUN相关;乙酰辅酶A羧化酶α(ACACA)和信号转导及转录激活因子5A(STAT5A)中的SNP在解释SCS变异方面具有相关性。尽管需要进一步研究在其他群体和品种中验证这些SNP,但这些标记与产奶量、成分、MUN和SCS之间的关联可用于基因辅助选择计划,以实现遗传改良目的。