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The prediction of single nucleotide polymorphisms and their utilization in mapping traits and determining population structure in production animals.

机译:单核苷酸多态性的预测及其在作图特征和确定生产动物种群结构中的用途。

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摘要

Single nucleotide polymorphisms (SNPs) are single base changes in the genome that can differ among populations and among individuals within populations. These genetic markers are widely distributed throughout the genome and relatively easy to genotype on a large scale. Several steps are involved in utilizing SNPs in genomic studies. First, SNPs must be discovered and mapped within the genome. Then, populations can be characterized based on their allele frequencies, and pedigrees can be traced. Whole genome association studies (WGAS) can then be carried out to discover the genetic underpinnings of phenotypes, and the results can be used for such objectives as improving animal production systems. The primary objective of the research reported herein was to assess the usefulness of SNPs in determining the biological bases of important phenotypes in production animals.;The development of a new software package is described for SNP discovery work from expressed sequence tags in Litopenaeus vannamei and related shrimp species. This program predicted 504 SNPs in L. vannamei and had a validation rate of 44% among SNPs genotyped in a specific population. When this same program was used to predict inter- and intraspecies SNPs from nine shrimp species, 4,597 SNPs were predicted, but only 18 of them segregated in multiple species. Consequently, it was concluded that cross-species SNP prediction was not successful for SNP discovery in L. vannamei.;A population of dairy cattle in Kenya was characterized using SNP genotypes from the 50K cattle SNP chip. Just over 10% of the putative relationships were determined to be inaccurate and heavy use of one AI bull indicated that inbreeding could be a problem if not more closely monitored. Finally, breed composition was predicted via comparisons to the HapMap population using the software program, Structure. Most animals were found to be of Holstein or Guernsey descent, with little native African blood.;WGAS were carried out for several traits in pigs. The 60K porcine SNP chip was used to complete genome scans for polydactyly, residual feed intake (RFI), average daily feed intake (ADFI), average daily gain (ADG), backfat, and loin muscle area in Yorkshire swine. Polydactyly was suspected to be a single gene recessive trait with incomplete penetrance, but a causative mutation was not identified. A 25 Mb region on chromosome 8 was implicated based on a long stretch of homozygosity in affected animals. The other traits examined were known to be polygenic, and as such, many regions across the genome were found to be associated with each trait. Both previously known genes, such as MC4R for ADFI and ADG, and novel genes, such as CRAT for RFI, were implicated. Although validation is needed, these results represent potential candidates for marker-assisted selection or drug targets for feed additives to improve animal production.;In conclusion, SNPs are useful for investigating the genetic cause of animal phenotypes, but they do not describe all of the components that are working together to create phenotypes. As sequencing methods become faster and cheaper, the assessment of additional types of mutations will undoubtedly reveal more information about the genetic bases of observed phenotypes. The overall process of data analysis, however, may remain similar for several years to come.
机译:单核苷酸多态性(SNP)是基因组中的单碱基变化,在人群之间以及人群中的个体之间可能有所不同。这些遗传标记广泛分布在整个基因组中,并且相对容易大规模地进行基因分型。在基因组研究中利用SNP涉及几个步骤。首先,必须在基因组中发现并定位SNP。然后,可以根据人群的等位基因频率对其进行表征,并可以追踪血统。然后可以进行全基因组关联研究(WGAS)以发现表型的遗传基础,其结果可以用于改善动物生产系统等目标。本文报道的研究的主要目的是评估SNP在确定生产动物中重要表型的生物学基础方面的有效性。;描述了一种新的软件包的开发,该软件包用于从南美白对虾及其相关表达序列标签进行SNP发现工作虾种。该程序预测了南美白对虾中的504个SNP,在特定人群的基因分型的SNP中,验证率为44%。当使用同一程序预测来自9个虾种的种间和种内SNP时,可预测到4,597个SNP,但其中只有18个被分离到多个物种中。因此,得出的结论是,跨物种SNP预测在南美白对虾中发现SNP并不成功。肯尼亚的奶牛种群使用来自50K牛SNP芯片的SNP基因型进行了表征。超过10%的推定关系被确定为不准确,大量使用一只AI公牛表明,如果不进行更严格的监控,近交可能会成为一个问题。最后,通过使用软件程序“结构”与HapMap种群的比较来​​预测品种组成。发现大多数动物是荷斯坦或根西氏血统,几乎没有非洲本地血统。WGAS是对猪的几种性状进行的。 60K猪SNP芯片用于完成基因组扫描,以进行约克郡猪的多指,剩余采食量(RFI),平均每日采食量(ADFI),平均每日增重(ADG),背脂和腰肌面积的扫描。多指被怀疑是具有不完全外显的单基因隐性性状,但未发现致病突变。根据患病动物的长时间纯合性,暗示了第8号染色体上25 Mb的区域。已知检查的其他特征是多基因的,因此,发现基因组中的许多区域与每个特征相关。既涉及先前已知的基因,例如用于ADFI和ADG的MC4R,又涉及新基因,例如用于RFI的CRAT。尽管需要验证,但这些结果代表了潜在的候选标记物选择或饲料添加剂的药物靶点,以改善动物的生产。总之,SNP可用于研究动物表型的遗传原因,但不能描述所有的动物表型。共同创建表型的组件。随着测序方法变得更快,更便宜,对其他类型突变的评估无疑会揭示出更多有关观察到的表型遗传基础的信息。但是,未来几年,数据分析的总体过程可能会保持相似。

著录项

  • 作者

    Gorbach, Danielle Marie.;

  • 作者单位

    Iowa State University.;

  • 授予单位 Iowa State University.;
  • 学科 Biology Genetics.;Agriculture Animal Culture and Nutrition.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 270 p.
  • 总页数 270
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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