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Three variations on the theme of comparative genomics: Metagenomics, mitochondrial gene rearrangements and microRNAs.

机译:比较基因组学主题的三个变体:元基因组学,线粒体基因重排和microRNA。

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摘要

With the emergence of large-scale whole-genome shotgun sequencing in the last decade, comparative genomics has come to the forefront as a fundamental paradigm within the field of bioinformatics. We use the term genomics to refer to the study of all the DNA sequence of an organism in its entirety, and the term comparative genomics to refer to the use of mathematical, computational and statistical tools to compare genomic sequence from several different organisms. Such comparisons have proven to be very successful both for identifying functional genomic elements, such as genes and regulatory elements, as well as for elucidating the evolutionary history of genomes and species.; This thesis makes three different contributions to the field of comparative genomics. First, we extend the comparative method from the comparison of single genomes to the comparison of whole communities of microbial genomes. This is an important problem in the new field of metagenomics, the culture-independent study of entire communities of microbes using the techniques of modern genomic analysis. Second, we study large-scale genome rearrangements (e.g. inversions, transpositions, duplications, etc.) in animal mitochondrial genomes. Aside from being fascinating evolutionary and genetic processes in their own right, the study of large-scale genome rearrangements complements sequence-based methods in the reconstruction of the evolutionary history of species. Finally, we apply classic comparative genomics methods to study the global evolutionary patterns of microRNA networks in vertebrates, flies and nematode worms. MicroRNA s are a recently discovered class of genes which are known to regulate a significant fraction of the genes in animals, plants and their viruses. Although the function and conservation of a few specific microRNAs have been previously studied, this is the first large-scale, global analysis of microRNA network evolution across very large phylogenetic distances in animals.
机译:在过去的十年中,随着大规模全基因组shot弹枪测序的出现,比较基因组学已成为生物信息学领域的基本范例。我们使用术语“基因组学”来指代对一个生物体的所有DNA序列的研究,而使用“比较基因组学”来指代使用数学,计算和统计工具来比较几种不同生物体的基因组序列。事实证明,这样的比较在鉴定功能基因组元件,例如基因和调控元件,以及阐明基因组和物种的进化历史方面都是非常成功的。本文对比较基因组学领域做出了三点不同的贡献。首先,我们将比较方法从单个基因组的比较扩展到整个微生物基因组群落的比较。在宏基因组学的新领域中,这是一个重要的问题,宏基因组学是使用现代基因组分析技术对整个微生物群落进行与文化无关的研究。其次,我们研究动物线粒体基因组中的大规模基因组重排(例如,倒位,转座,重复等)。除了引人入胜的进化和遗传过程外,大规模基因组重排的研究还补充了基于序列的方法在物种进化史重建中的作用。最后,我们应用经典的比较基因组学方法研究了脊椎动物,果蝇和线虫中的microRNA网络的全球进化模式。微小RNA是最近发现的一类基因,已知其调节动物,植物及其病毒中很大一部分基因。尽管先前已经研究了一些特定微RNA的功能和保守性,但这是首次跨动物很大系统发生距离的微RNA网络进化的大规模,全局分析。

著录项

  • 作者

    Chen, Kevin Christopher.;

  • 作者单位

    University of California, Berkeley.;

  • 授予单位 University of California, Berkeley.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 98 p.
  • 总页数 98
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化技术、计算机技术;
  • 关键词

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