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通过全基因组重测序鉴定日本黑牛油酸含量QTL的候选基因。

Whole-genome resequencing to identify candidate genes for the QTL for oleic acid percentage in Japanese Black cattle.

作者信息

Kawaguchi Fuki, Kigoshi Hiroto, Fukushima Moriyuki, Iwamoto Eiji, Kobayashi Eiji, Oyama Kenji, Mannen Hideyuki, Sasazaki Shinji

机构信息

Laboratory of Animal Breeding and Genetics, Graduate School of Agricultural Science, Kobe University, Kobe, Japan.

Northern Center of Agricultural Technology, General Technological Center of Hyogo Prefecture for Agriculture, Forest and Fishery, Asago, Japan.

出版信息

Anim Sci J. 2019 Apr;90(4):467-472. doi: 10.1111/asj.13179. Epub 2019 Feb 19.

Abstract

In our previous study, we detected a QTL for the oleic acid percentage (C18:1) on BTA9 in Japanese Black cattle through a genome-wide association study (GWAS). In this study, we performed whole-genome resequencing on eight animals with higher and lower C18:1 to identify candidate polymorphisms for the QTL. A total of 39,658 polymorphisms were detected in the candidate region, which were narrowed to 1993 polymorphisms within 23 genes based on allele differences between the high and low C18:1 groups. We subsequently selected three candidate genes, that is, CYB5R4, MED23, and VNN1, among the 23 genes based on their function in fatty acid metabolism. In each candidate gene, three SNPs, that is, CYB5R4 c.*349G > T, MED23 c.3700G > A, and VNN1 c.197C > T, were selected as candidate SNPs to verify their effect on C18:1 in a Japanese Black cattle population (n = 889). The statistical analysis showed that these SNPs were significantly associated with C18:1 (p < 0.05), suggesting that they were candidates for the QTL. In conclusion, we successfully narrowed the candidates for the QTL by detecting possible polymorphisms located within the candidate region. It is expected that the responsible polymorphism can be identified by demonstrating their effect on the gene's function.

摘要

在我们之前的研究中,我们通过全基因组关联研究(GWAS)在日本黑牛的BTA9染色体上检测到一个与油酸百分比(C18:1)相关的数量性状基因座(QTL)。在本研究中,我们对8头C18:1含量较高和较低的牛进行了全基因组重测序,以确定该QTL的候选多态性位点。在候选区域共检测到39658个多态性位点,根据C18:1含量高、低两组之间的等位基因差异,将其缩小到23个基因内的1993个多态性位点。随后,我们根据这23个基因在脂肪酸代谢中的功能,选择了3个候选基因,即CYB5R4、MED23和VNN1。在每个候选基因中,选择了3个单核苷酸多态性(SNP),即CYB5R4基因的c.*349G>T、MED23基因的c.3700G>A和VNN1基因的c.197C>T,作为候选SNP,在一个日本黑牛群体(n = 889)中验证它们对C18:1的影响。统计分析表明,这些SNP与C18:1显著相关(p < 0.05),表明它们是该QTL的候选位点。总之,我们通过检测候选区域内可能的多态性位点,成功缩小了该QTL的候选范围。预计通过证明它们对基因功能的影响,可以鉴定出致病多态性位点。

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