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Estimating the Relative Contributions of New Genes from Retrotransposition and Segmental Duplication Events during Mammalian Evolution

机译:从哺乳动物进化过程中的逆转座和节段复制事件估计新基因的相对贡献。

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摘要

Gene duplication has long been recognized as a major force in genome evolution and has recently been recognized as an important source of individual variation. For many years the origin of functional gene duplicates was assumed to be whole or partial genome duplication events, but recently retrotransposition has also been shown to contribute new functional protein coding genes and siRNA's. Here we present a method for the identification and classification of retrotransposed and segmentally duplicated genes and pseudogenes based on local synteny.Using the results of this approach we compare the rates of segmental duplication and retrotransposition in five mammalian genomes and estimate the rate of new functional protein coding gene formation by each mechanism. We find that retrotransposition occurs at a much higher and temporally more variable rate than segmental duplication, and gives rise to many more duplicated sequences over time. While the chance that retrotransposed copies become functional is much lower than that of their segmentally duplicated counterparts, the higher rate of retrotransposition events leads to nearly equal contributions of new genes by each mechanism.
机译:长期以来,基因复制一直被认为是基因组进化的主要力量,最近被认为是个体变异的重要来源。多年来,功能基因重复的起源被认为是全部或部分基因组重复事件,但是最近逆转座也被证明有助于新的功能蛋白编码基因和siRNA。本文介绍了一种基于局部同义的逆转座和分段重复基因和假基因的鉴定和分类方法,利用该方法的结果,我们比较了五个哺乳动物基因组中分段重复和逆转座的比率,并估计了新功能蛋白的比率通过每种机制编码基因的形成。我们发现逆转座的发生率比分段重复的发生率高得多,并且在时间上具有更大的可变性,并且随着时间的推移会产生更多的重复序列。尽管逆转座复制品变为功能性的机会远低于其节段复制的副本,但较高的逆转座事件率导致每种机制对新基因的贡献几乎相等。

著录项

  • 来源
    《Comparative Genomics》|2008年|40-54|共15页
  • 会议地点 Paris(FR);Paris(FR)
  • 作者单位

    Computer Science Engineering Department, University of Connecticut, Storrs,CT, 06269, USA;

    Genomics Computational Biology Graduate Group, University of Pennsylvania,Philadelphia, PA 19104, USA;

    Genetics Genomics Program, Department of Molecular Cell Biology,University of Connecticut, Storrs, CT 06269, USA;

    Computer Science Engineering Department, University of Connecticut, Storrs,CT, 06269, USA;

    Genetics Genomics Program, Department of Molecular Cell Biology,University of Connecticut, Storrs, CT 06269, USA;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物工程学(生物技术);
  • 关键词

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