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Mapping of monogenic and quantitative trait loci using a whole genome scan approach and single nucleotide polymorphism platforms.

机译:使用全基因组扫描方法和单核苷酸多态性平台定位单基因和定量性状基因座。

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摘要

The release of the bovine genome sequence in 2004 opened the door for the development of high density single nucleotide polymorphism (SNP) panels that can be used for linkage disequilibrium mapping of traits in cattle populations. The BovineSNP50 Beadchip, containing 54,001 SNP markers, was released in 2008 and the recently released BovineHD Beadchip contains 777,000 SNP markers. These SNP platforms were utilized to map both monogenic and quantitative traits to finite genomic regions in beef cattle populations.;The recessive defect, hypotrichosis is an autosomal recessive form of hairlessness that affects Hereford cattle. A whole-genome association analysis was conducted using BovineSNP50 BeadChip to map the hypotrichosis locus to a chromosomal region. Significant association was detected between the hypotrichosis phenotype and a locus on bovine chromosome 5 (BTA5) and homozygosity analysis localized the associated region to between 29 and 32 Mb. Sequencing of six candidate genes in the region revealed an eight base pair deletion in exon 1 of the bovine KRT71 gene that was consistent with putative genotypic status within archived samples. The deletion mutation is predicted to result in a frameshift and early truncation of the K71 protein. A DNA based diagnostic was developed that will permit animals to be screened for the mutation and thus allow animal breeders to make informed mating decisions and decrease the incidence of hypotrichosis in the Hereford breed.;Genotype imputation from the BovineSNP50 to the high density BovineHD platform was conducted to provide a denser marker panel to carry out whole genome association mapping and allow for more refinement of genomic regions associated with traits. The imputed genotypes were used in a whole genome scan in order to discover quantitative trait loci that may be influencing growth, carcass and meat quality traits in an US Simmental- Angus population. Association was detected with the traits birth weight, back fat, yield grade, ribeye area and marbling. There were 81 SNP associations with birth weight that were sequestered into 10 genomic regions. The carcass trait, back fat exhibited association with 209 SNPs in 46 genomic regions and yield grade displayed association with 172 SNPs in 69 genomic areas while there were four SNP associations with ribeye area, representing one genomic region. There were 127 SNP associations with the meat quality trait, marbling, that represented 32 genomic regions. These regions are ideal targets for development of markers for use in marker assisted selection and are also excellent regions to investigate with further fine mapping and discovery of causal variants underlying the quantitative trait loci. The utilization of genotype imputation from the BovineSNP50 to the high density 770K platform allowed localization of QTL to refined regions of the genome, often eliminating the need for further fine mapping efforts prior to targeted re-sequencing.;The whole genome scan using imputed genotypes revealed a locus on BTA 6 from 37 to 42 Mb that was associated with back fat, marbling and birth weight in an US Simmental- Angus population. The region on BTA6 was evaluated in an attempt to further refine the candidate locus interval by implementing haplotype analysis with the imputed SNP markers that were used the whole genome association analysis. Two regions within the 5 Mb interval were associated with the phenotypes; the first was near 38.83 Mb that was associated with both back fat and birth weight. The second region near 39.27 Mb was associated with back fat, marbling and birth weight. The first region, near 38.83 Mb, corresponds to the LCORL-NCAPG locus that has been implicated in body size in many species as well as contributing to growth and carcass phenotypes in cattle. Re-sequencing of the LCORL-NCAPG locus in animals of know haplotype status revealed several polymorphisms that were consistent with haplotype status. This research contributes to the mounting evidence implicating the LCORL-NCAPG region as influencing growth, carcass and meat quality traits in cattle.
机译:牛基因组序列的发布于2004年为高密度单核苷酸多态性(SNP)面板的开发打开了大门,该面板可用于牛群性状的连锁不平衡作图。包含54,001个SNP标记的BovineSNP50 Beadchip于2008年发布,最近发布的BovineHD Beadchip包含777,000个SNP标记。这些SNP平台可用于将单基因和定量性状映射到肉牛种群的有限基因组区域。隐性缺陷,低毛病是一种无毛的常染色体隐性形式,会影响赫里福德牛。使用BovineSNP50 BeadChip进行了全基因组关联分析,以将hypertrichosis基因座定位到染色体区域。在发育不良表型和牛5号染色体上的一个基因座(BTA5)之间检测到显着关联,并且纯合性分析将相关区域定位在29和32 Mb之间。该区域中六个候选基因的测序显示,牛KRT71基因第1外显子中有8个碱基对的缺失,这与存档样本中假定的基因型状态一致。该缺失突变预计会导致K71蛋白的移码和早期截断。已经开发出了一种基于DNA的诊断方法,可以对动物进行突变筛查,从而使动物育种者能够做出明智的交配决定,并降低Hereford品种的低毛病发生率。从BovineSNP50到高密度BovineHD平台的基因型估算是为了提供更密集的标记面板来进行全基因组关联作图,并允许与性状相关的基因组区域的更多细化而进行。在全基因组扫描中使用了推算的基因型,以发现可能影响美国西门塔尔-安格斯种群生长,car体和肉质性状的定量性状基因座。与出生体重,背部脂肪,产量等级,肋眼面积和大理石花纹等特征相关。有81个具有出生体重的SNP关联被隔离到10个基因组区域。 46体性状,背脂表现出与46个基因组区域的209个SNP关联,而产量等级表现出与69个基因组区域的172个SNP关联,而有4个SNP与肋眼区域关联,代表一个基因组区域。有127个具有肉质性状的SNP关联大理石花纹,代表32个基因组区域。这些区域是用于标记辅助选择的标记开发的理想靶标,也是进行进一步精细作图和发现定量性状基因座的因果变异的理想区域。利用从BovineSNP50到高密度770K平台的基因型插补技术,可以将QTL定位到基因组的精炼区域,从而通常无需在靶向重新测序之前进行进一步的精细作图工作;使用揭示的基因型进行全基因组扫描显示在美国西门塔尔-安格斯种群中,BTA 6的位点从37 Mb到42 Mb,与背部脂肪,大理石花纹和出生体重有关。对BTA6上的区域进行了评估,以尝试通过使用推算出的SNP标记进行单倍型分析来进一步细化候选基因座区间,该SNP标记用于整个基因组关联分析。在5 Mb间隔内的两个区域与表型相关。第一个接近38.83 Mb,这与背部脂肪和出生体重有关。 39.27 Mb附近的第二个区域与背部脂肪,大理石花纹和出生体重有关。第一个区域接近38.83 Mb,对应于LCORL-NCAPG基因座,该基因座与许多物种的体型有关,并且有助于牛的生长和car体表型。在已知单倍型状态的动物中对LCORL-NCAPG基因座进行重测序,发现与单倍型状态一致的几种多态性。这项研究为越来越多的证据表明LCORL-NCAPG地区影响牛的生长,car体和肉质性状提供了证据。

著录项

  • 作者

    Markey, Alysta.;

  • 作者单位

    University of Illinois at Urbana-Champaign.;

  • 授予单位 University of Illinois at Urbana-Champaign.;
  • 学科 Animal sciences.;Genetics.;Molecular biology.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 119 p.
  • 总页数 119
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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