全基因组关联研究揭示与狮头鹅出栏体重体尺性状相关的新插入缺失位点OA
Genome-wide Association Study Reveals Novel Insertion-Deletion Variants Associated with Body Weight and Body Size Traits in Lion-head Geese
本研究旨在通过全基因组重测序与INDEL-GWAS策略,系统筛选与狮头鹅体重及体尺性状独立关联的显著INDEL位点,挖掘候选基因,为解析其遗传调控机制及分子育种提供理论支持.以504只120日龄狮头鹅(公257只、母247只)为对象,测定体重及11项体尺性状,进行平均深度10×的全基因组重测序.原始数据质控后比对至鸿雁参考基因组,利用GATK检测INDEL,经严格过滤(MAF>0.01、双等位)获得828 017个高质量INDELs.采用GEMMA混合线性模型进行GWAS,显著阈值设为染色体水平(0.05/染色体变异位点数).为鉴定独立关联INDEL位点,对显著INDEL评估其上下游1 Mb区域内连锁SNPs(r²≥0.20),并通过条件GWAS(以区域内最强连锁SNP为协变量)验证其独立性.全基因组共鉴定828 017个高质量INDELs(388 574插入,439 443缺失),平均密度为0.75个·kb-1.89.8%的相对独立INDEL与邻近SNP存在中度至高度连锁不平衡(r²≥0.20).GWAS初筛获得 28 个染色体水平显著 INDEL 位点,经条件 GWAS 分析排除 6 个与邻近 SNP 中强连锁(r²≥0.20)的INDELs,最终确定22个独立关联INDEL位点.这些位点涉及43个候选基因,包括已知调控骨代谢的ASH1L、影响软骨发育的 Cysltr1、参与骨骼发育的 TPST2 和 COL5A1、调控骨骼肌代谢的 Vgll4 等,还有 34 个基因(如AARS1、DENND1A等)为首次报道与生长发育性状关联.本研究建立了狮头鹅INDEL-GWAS分析框架,成功鉴定了22个独立关联INDEL位点及43个候选基因.INDEL-GWAS可有效补充SNP分析,揭示新的遗传位点,为狮头鹅生长性状分子机制解析和精准育种提供新视角与靶点.
This study aimed to systematically screen independent INDEL loci significantly associated with body weight and body size traits in Lion-head geese through whole-genome resequencing and INDEL-GWAS strategy,and to explore candidate genes,providing theoretical support for analyzing their genetic regulatory mechanisms and molecular breeding.A total of 504 Lion-head geese(257 males and 247 females)at 120 days of age was phenotyped for body weight and 11 body measurement traits.Whole-genome resequencing was performed at an average depth of 10×.Raw data were quality-controlled using SOAPnuke,aligned to the Anser cygnoides reference genome(1.1 Gb)via BWA,and subjected to INDEL detection via the GATK.After strict filtering(MAF>0.01,biallelic),828 017 high-quality INDELs were obtained.GWAS was conducted using the GEMMA mixed linear model,and the significance threshold was set at the chromosome-wide level(0.05/number of chromosome variants).To identify independent associated INDEL loci,the linkage disequilibrium(LD)SNPs(r²≥0.20)within a 1 Mb upstream/downstream region of significant INDEL were evaluated.Conditional GWAS analysis with the most strongly linked SNP in the region as the covariate was employed to verify the independence of INDELs.A total of 828 017 high-quality INDELs(388 574 insertions,439 443 deletions)were identified across the genome-wide,with an average density of 0.75 INDELs·kb-1.The 89.8%of relatively independent INDELs exhibited moderate to high LD(r²≥0.20)with neighboring SNPs.Initial GWAS screening identified 28 chromosome-wide significant INDEL loci.Conditional GWAS analysis excluded 6 INDELs due to strong linkage(r²≥0.20)with neighboring significant SNPs,ultimately confirming 22 independently associated INDEL loci.These loci implicated 43 candidate genes,including known regulators such as ASH1L(bone metabolism),Cysltr1(cartilage development),TPST2 and COL5A1(skeletal development),and Vgll4(skeletal muscle metabolism).Among these,34 genes(e.g.,AARS1,DENND1A)were reported for the first time to be associated with growth and development traits.This study establishes the INDEL-GWAS analytical framework for Lion-head geese,successfully identifying 22 independently associated INDEL loci and 43 candidate genes.The INDEL-GWAS effectively complements SNP analysis by revealing novel genetic loci,providing new perspectives and targets for dissecting molecular mechanisms and enabling precision breeding in Lion-head geese.
黄智荣;黄运茂;李秀金;张力允;朱峰;陈俊鹏;邱丽君;罗茂浚;伍仲平;张续勐;田允波
仲恺农业工程学院动物科技学院 广东省水禽健康养殖科技创新平台,广州 510225仲恺农业工程学院动物科技学院 广东省水禽健康养殖科技创新平台,广州 510225仲恺农业工程学院动物科技学院 广东省水禽健康养殖科技创新平台,广州 510225仲恺农业工程学院动物科技学院 广东省水禽健康养殖科技创新平台,广州 510225中国农业大学动物科技学院,北京 100193广东省汕头市白沙禽畜原种研究所,汕头 515821汕头市狮头鹅产业协会,汕头 515800仲恺农业工程学院动物科技学院 广东省水禽健康养殖科技创新平台,广州 510225仲恺农业工程学院动物科技学院 广东省水禽健康养殖科技创新平台,广州 510225仲恺农业工程学院动物科技学院 广东省水禽健康养殖科技创新平台,广州 510225仲恺农业工程学院动物科技学院 广东省水禽健康养殖科技创新平台,广州 510225
农业科技
狮头鹅体重体尺INDEL全基因组关联分析候选基因
Lion-head goosebody weight and body sizeINDELgenome-wide association study(GWAS)candidate gene
《畜牧兽医学报》 2026 (8)
4327-4337,11
广东省普通高校重点领域项目(2025ZDZX4024)广东省乡村振兴战略专项种业振兴行动项目(2025-XQD-04-001)广东省重点领域研发计划(2020B020222003)
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