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首页> 外文期刊>Journal of Animal Breeding and Genetics >Genomewide association study of immune traits in chicken F2 resource population
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Genomewide association study of immune traits in chicken F2 resource population

机译:鸡F2资源人群免疫性状的全基因组关联研究

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摘要

Immune traits play pivotal roles in animal immune capacity development and disease resistance. Single nucleotide polymorphisms (SNPs) are common forms of genetic variations among individuals, which are thought to account for the majority of inherited phenotypic variations. In this study, we performed genomewide association, using the Illumina 60K SNP BeadChip studies to detect molecular markers and candidate genes associated with immune traits in an F2 population. Sixteen immune traits were measured. We identified 85 significant SNPs (p 2.98 9 10(-6)) with 5% as the genomewide significance threshold, 380 SNPs of suggestive significance (p 5.96 x 10(-5)) from simple model (general linear model, GLM) and 15 SNPs of suggestive significance (p 5.96 x 10(-5)) from the compressed mixed linear model (MLM), which were also found in GLM (six significant SNPs and seven suggestive SNPs). Three significant SNPs (GGaluGA151406, Gga_rs14554319 and Gga_rs13593979) and candidate genes (LYRM4 and KTN1) were found to be associated with avian influenza antibody titres, and the first two SNPs are from the results of two-model analysis. For the immune organs, through the analysis of GLM, 19 SNPs were found to be significantly associated with the thymus weight, 61 SNPs were significantly associated with the bursa of Fabricius weight, six of which were located within a 34-Mb region (125 846 474159 649 698 bp) on chicken chromosome 1 (GGA1). A candidate region relevant to haematological traits from GLM was found in GGA4 and 9 loci were located on it. Three loci (GGaluGA348521, Gga_rs16098446 and GGaluGA348518) within 179 kb (16 286 868-16 466 134 bp) on GGAZ from GLM provided evidence that this genomic segment may be relevant to red blood cell volume distribution width (RDW). Our study provides a list of significant SNPs and candidate genes that will be valuable information for unveiling the underlying molecular mechanism of immune regulation.
机译:免疫性状在动物免疫能力发展和疾病抗性中起关键作用。单核苷酸多态性(SNPs)是个体之间遗传变异的常见形式,被认为是遗传遗传表型变异的主要部分。在这项研究中,我们使用Illumina 60K SNP BeadChip研究进行了全基因组关联,以检测与F2人群免疫性状相关的分子标记和候选基因。测量了十六种免疫性状。我们从简单模型(通用线性模型,GLM)中鉴定出85个有意义的SNP(p <2.98 9 10(-6)),其中5%为全基因组显着性阈值,380个SNP具有暗示意义(p <5.96 x 10(-5))。 )和15个具有提示意义的SNP(p <5.96 x 10(-5))(来自压缩混合线性模型(MLM)),也发现于GLM中(六个重要SNP和七个建议SNP)。发现三个重要的SNP(GGaluGA151406,Gga_rs14554319和Gga_rs13593979)和候选基因(LYRM4和KTN1)与禽流感抗体滴度相关,并且前两个SNP来自双模式分析的结果。对于免疫器官,通过GLM分析,发现19个SNP与胸腺重量显着相关,61个SNP与法氏囊重量显着相关,其中6个位于34 Mb区域内(125 846)鸡1号染色体(GGA1)上的474159 649 698 bp)。在GGA4中发现了与GLM血液学特征相关的候选区域,并在其上定位了9个基因座。来自GLM的GGAZ上179 kb(16 286 868-16 466 134 bp)以内的三个基因座(GGaluGA348521,Gga_rs16098446和GGaluGA348518)提供了该基因组片段可能与红细胞体积分布宽度(RDW)相关的证据。我们的研究提供了重要的SNP和候选基因的清单,这些清单对于揭示免疫调节的潜在分子机制将是有价值的信息。

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