Olsen Hanne Gro, Knutsen Tim Martin, Kohler Achim, Svendsen Morten, Gidskehaug Lars, Grove Harald, Nome Torfinn, Sodeland Marte, Sundsaasen Kristil Kindem, Kent Matthew Peter, Martens Harald, Lien Sigbjørn
Centre for Integrative Genetics (CIGENE), Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, PO Box 5003, 1432, Ås, Norway.
Department of Mathematical Sciences and Technology, Norwegian University of Life Sciences, PO Box 5003, 1432, Ås, Norway.
Genet Sel Evol. 2017 Feb 13;49(1):20. doi: 10.1186/s12711-017-0294-5.
Bovine milk is widely regarded as a nutritious food source for humans, although the effects of individual fatty acids on human health is a subject of debate. Based on the assumption that genomic selection offers potential to improve milk fat composition, there is strong interest to understand more about the genetic factors that influence the biosynthesis of bovine milk and the molecular mechanisms that regulate milk fat synthesis and secretion. For this reason, the work reported here aimed at identifying genetic variants that affect milk fatty acid composition in Norwegian Red cattle. Milk fatty acid composition was predicted from the nation-wide recording scheme using Fourier transform infrared spectroscopy data and applied to estimate heritabilities for 36 individual and combined fatty acid traits. The recordings were used to generate daughter yield deviations that were first applied in a genome-wide association (GWAS) study with 17,343 markers to identify quantitative trait loci (QTL) affecting fatty acid composition, and next on high-density and sequence-level datasets to fine-map the most significant QTL on BTA13 (BTA for Bos taurus chromosome).
The initial GWAS revealed 200 significant associations, with the strongest signals on BTA1, 13 and 15. The BTA13 QTL highlighted a strong functional candidate gene for de novo synthesis of short- and medium-chained saturated fatty acids; acyl-CoA synthetase short-chain family member 2. However, subsequent fine-mapping using single nucleotide polymorphisms (SNPs) from a high-density chip and variants detected by resequencing showed that the effect was more likely caused by a second nearby gene; nuclear receptor coactivator 6 (NCOA6). These findings were confirmed with results from haplotype studies. NCOA6 is a nuclear receptor that interacts with transcription factors such as PPARγ, which is a major regulator of bovine milk fat synthesis.
An initial GWAS revealed a highly significant QTL for de novo-synthesized fatty acids on BTA13 and was followed by fine-mapping of the QTL within NCOA6. The most significant SNPs were either synonymous or situated in introns; more research is needed to uncover the underlying causal DNA variation(s).
牛奶被广泛认为是人类的一种营养食物来源,尽管个别脂肪酸对人类健康的影响仍是一个有争议的话题。基于基因组选择有潜力改善乳脂肪组成这一假设,人们对进一步了解影响牛乳生物合成的遗传因素以及调节乳脂肪合成与分泌的分子机制有着浓厚兴趣。因此,本文报道的工作旨在鉴定影响挪威红牛乳脂肪酸组成的遗传变异。利用傅里叶变换红外光谱数据,通过全国记录方案预测乳脂肪酸组成,并用于估计36种单个和组合脂肪酸性状的遗传力。这些记录用于生成女儿产量偏差,首先将其应用于一项全基因组关联(GWAS)研究,该研究使用17343个标记来鉴定影响脂肪酸组成的数量性状位点(QTL),接下来应用于高密度和序列水平数据集,以精细定位BTA13(BTA代表牛染色体)上最显著的QTL。
最初的GWAS揭示了200个显著关联,最强信号出现在BTA1、13和15上。BTA13 QTL突出显示了一个用于从头合成短链和中链饱和脂肪酸的强大功能候选基因;酰基辅酶A合成酶短链家族成员2。然而,随后使用来自高密度芯片的单核苷酸多态性(SNP)和重测序检测到的变异进行的精细定位表明,这种效应更可能是由附近的第二个基因;核受体辅激活因子6(NCOA6)引起的。单倍型研究结果证实了这些发现。NCOA6是一种核受体,它与转录因子如PPARγ相互作用,PPARγ是牛乳脂肪合成的主要调节因子。
最初的GWAS揭示了BTA13上一个高度显著的从头合成脂肪酸QTL,随后对NCOA6内的QTL进行了精细定位。最显著的SNP要么是同义的,要么位于内含子中;需要更多研究来揭示潜在的因果DNA变异。