GenPhySE, Université de Toulouse, INRA, ENVT, Castanet Tolosan, F-31326 France.
Institut de l'Elevage, Chemin de Borde Rouge, Castanet Tolosan, F-31326 France.
J Dairy Sci. 2018 Jun;101(6):5214-5226. doi: 10.3168/jds.2017-13625. Epub 2018 Mar 21.
Type traits and mammary health traits are important to dairy ruminant breeding because they influence animal health, milking ability, and longevity, as well as the economic sustainability of farms. The availability of the genomic sequence and a single nucleotide polymorphism chip in goats has opened up new fields of investigation to better understand the genes and mechanisms that underlie such complex traits and to be able to select them. Our objective was to perform a genome-wide association study in dairy goats for 11 type traits and somatic cell count (SCC) as proxies for mastitis resistance. A genome-wide association study was implemented using a daughter design composed of 1,941 Alpine and Saanen goats sired by 20 artificial insemination bucks, genotyped with the Illumina GoatSNP50 BeadChip (Illumina Inc., San Diego, CA). This association study was based on both linkage analyses and linkage disequilibrium using QTLmap software (http://dga7.jouy.inra.fr/qtlmap/) interval mapping was performed with the likelihood ratio test using linear regressions. Breeds were analyzed together and separately. The study highlighted 37 chromosome-wide significant quantitative trait loci (QTL) with linkage analyses and 222 genome-wide significant QTL for linkage disequilibrium, for type and SCC traits in dairy goats. Genomic control of those traits was mostly polygenic and breed-specific, suggesting that within-breed selection would be favored for those traits. Of note, Capra hircus autosome (CHI) 19 appeared to be highly enriched in single nucleotide polymorphisms associated with type and SCC, with 2 highly significant regions in the Saanen breed. One region (33-42 Mb) was significantly associated with SCC and includes candidate genes associated with response to intramammary infections (RARA, STAT3, STAT5A, and STAT5B). Another region of the CHI 19 (24.5-27 Mb) exhibited an adverse pleiotropic effect on milk production (milk, fat yield, and protein yield) and udder traits (udder floor position and rear udder attachment) that agreed with the negative genetic correlations that exist between those 2 groups of traits. These QTL were not found in the Alpine breed. In Alpine, the 2 most significant regions were associated with chest depth on CHI 6 (45.8-46.0 Mb) and CHI 8 (80.7-81.1 Mb). These results will be helpful for goat selection in the future and could lead to identification of causal mutations.
类型特征和乳腺健康特征对奶牛养殖至关重要,因为它们影响动物健康、产奶能力和寿命,以及农场的经济可持续性。由于山羊基因组序列和单核苷酸多态性芯片的可用性,为更好地了解这些复杂特征的基因和机制,并能够对其进行选择,开辟了新的研究领域。我们的目的是在乳用山羊中进行 11 种体型特征和体细胞计数(SCC)的全基因组关联研究,作为乳腺炎抗性的替代指标。全基因组关联研究使用由 20 只人工授精公山羊授精的 1941 只阿尔卑斯山羊和萨能山羊组成的女儿设计进行,这些山羊使用 Illumina GoatSNP50 BeadChip(Illumina Inc.,圣地亚哥,加利福尼亚州)进行基因分型。该关联研究基于连锁分析和连锁不平衡,使用 QTLmap 软件(http://dga7.jouy.inra.fr/qtlmap/)进行区间映射,使用线性回归进行似然比检验。对品种进行了联合和单独分析。该研究强调了 37 个染色体宽的数量性状位点(QTL),在连锁分析中有 222 个全基因组显著的连锁不平衡 QTL,用于乳用山羊的体型和 SCC 性状。这些性状的基因组控制主要是多基因和品种特异性的,这表明在品种内进行选择将有利于这些性状。值得注意的是,Capra hircus 常染色体(CHI)19 似乎高度富集与体型和 SCC 相关的单核苷酸多态性,在萨能品种中有 2 个高度显著的区域。一个区域(33-42 Mb)与 SCC 显著相关,包括与乳腺内感染反应相关的候选基因(RARA、STAT3、STAT5A 和 STAT5B)。CHI 19 的另一个区域(24.5-27 Mb)对产奶量(牛奶、脂肪产量和蛋白质产量)和乳房性状(乳房底部位置和后乳房附着)表现出不利的多效性,这与这两组性状之间存在的负遗传相关性一致。在阿尔卑斯品种中没有发现这些 QTL。在阿尔卑斯品种中,最显著的两个区域与 CHI 6(45.8-46.0 Mb)和 CHI 8(80.7-81.1 Mb)上的胸部深度有关。这些结果将有助于未来对山羊的选择,并可能导致对因果突变的识别。