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Mutation signatures in germline mitochondrial genome provide insights into human mitochondrial evolution and disease

机译:种系线粒体基因组中的突变鉴定为人类线粒体进化和疾病提供见解

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摘要

Variations in mitochondrial DNA (mtDNA) have been fundamental for understanding human evolution and are causative for a plethora of inherited mitochondrial diseases, but the mutation signatures of germline mtDNA and their value in understanding mitochondrial pathogenicity remain unknown. Here, we carried out a systematic analysis of mutation patterns in germline mtDNA based on 97,566 mtDNA variants from 45,494 full-length sequences and revealed a highly non-stochastic and replication-coupled mutation signature characterized by nucleotide-specific mutation pressure (G>T>A>C) and position-specific selection pressure, suggesting the existence of an intensive mutation-selection interplay in germline mtDNA. We provide evidence that this mutation-selection interplay has strongly shaped the mtDNA sequence during evolution, which not only manifests as an oriented alteration of amino acid compositions of mitochondrial encoded proteins, but also explains the long-lasting mystery of CpG depletion in mitochondrial genome. Finally, we demonstrated that these insights may be integrated to better understand the pathogenicity of disease-implicated mitochondrial variants.
机译:线粒体DNA(MTDNA)的变化是理解人类演化的基础,并且对血清遗传性的线粒体疾病具有致病性,但是种系MTDNA的突变特征及其在理解线粒体致病性中的价值仍然未知。在此,我们基于来自45,494个全长序列的97,566 mTDNA变体进行种系MTDNA的突变模式进行了系统分析,并揭示了具有核苷酸特异性突变压力(G> T>的高度非随机和复制偶联突变特征(G> T> a> c)和特异性的选择压力,表明在种系mtdna中存在强化突变选择相互作用。我们提供了这种突变选择的相互作用在进化期间具有强烈形状的MTDNA序列,这不仅表现为线粒体编码蛋白的氨基酸组成的导向改变,而且还解释了线粒体基因组中CpG耗尽的长期态度。最后,我们证明这些见解可以集成以更好地理解疾病暗示的线粒体变体的致病性。

著录项

  • 来源
    《Human Genetics》 |2019年第6期|共12页
  • 作者单位

    Xi An Jiao Tong Univ Coll Stomatol Clin Res Ctr Shaanxi Prov Dent &

    Maxillofacial Di Key Lab;

    Xi An Jiao Tong Univ Coll Stomatol Clin Res Ctr Shaanxi Prov Dent &

    Maxillofacial Di Key Lab;

    Xi An Jiao Tong Univ Ctr Mitochondrial Biol &

    Med Xian 710049 Shaanxi Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 医学遗传学;
  • 关键词

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