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相关概念视频

Gene Conversion02:08

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Other than maintaining genome stability via DNA repair, homologous recombination plays an important role in diversifying the genome. In fact, the recombination of sequences forms the molecular basis of genomic evolution. Random and non-random permutations of genomic sequences create a library of new amalgamated sequences. These newly formed genomes can determine the fitness and survival of cells. In bacteria, homologous and non-homologous types of recombination lead to the evolution of new...
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DNA replication is a well-evolved process that copies millions of base pairs with high fidelity during each cell division. Occasionally a wrong base or a long stretch of wrong bases may get added to the daughter strands. If the errors are left unchecked, cells might accumulate several mutations that might endanger their  survival. Therefore, the copying errors are checked and repaired at three levels.
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The evolution of new genes is critical for speciation. Exon recombination, also known as exon shuffling or domain shuffling, is an important means of new gene formation. It is observed across vertebrates, invertebrates, and in some plants such as potatoes and sunflowers. During exon recombination, exons from the same or different genes recombine and produce new exon-intron combinations, which might evolve into new genes. 
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相关实验视频

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Detection of Copy Number Alterations Using Single Cell Sequencing
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在人类细分重复中增加突变和基因转换

Mitchell R Vollger1,2, Philip C Dishuck1, William T Harvey1

  • 1Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.

Nature
|May 10, 2023
PubMed
概括
此摘要是机器生成的。

单核酸变异 (SNV) 在人类细分重复 (SD) 中高出60%,主要是由于插座基因转换 (IGC). 这项研究绘制了IGC热点,并揭示了SD中不同的SNV突变模式.

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科学领域:

  • 基因组学
  • 人类遗传学
  • 进化生物学

背景情况:

  • 分段重复 (SDs) 给短读测序数据带来了绘制挑战,限制了这些区域内单核酸变体 (SNVs) 的研究.
  • 了解SD中的SNV模式对于理解基因组进化和疾病关联至关重要.

研究的目的:

  • 通过克服短读映射的局限性,系统地评估人类细分重复的SNV.
  • 调查SNV模式中的插座基因转换 (IGC) 的作用.
  • 在SD中描述SNV的突变谱和进化年龄.

主要方法:

  • 在102个人类类型中构建1:1的明确对齐,跨越高身份SD.
  • 独特和重复的基因组区域之间的SNV模式的比较.
  • 开发IGC捐赠者和接受者的全基因组图,包括对受影响的蛋白质编码基因的分析.
  • 应用一个凝聚框架来评估SD区域的进化年龄.

主要成果:

  • 人类SNV在SD地区比独特地区高出60%.
  • 至少23%的增加归因于插座基因转换 (IGC),并观察到广泛的序列转换.
  • 一个全基因组的地图确定了许多影响大约800个蛋白质编码基因的前基因的IGC热点,其中一些基因显示出显著的转移.
  • SD区域在进化上比独特的序列要老一点,可能是由于IGC.
  • 在SD中SNV表现出明显的突变谱,包括增加的转变和减少的CpG相关突变,导致GC含量更高.

结论:

  • 间位基因转化对人类细分重复的SNV率有显著的贡献.
  • 这项研究提供了IGC活动及其对SD中的蛋白质编码基因的影响的全面地图.
  • 在SD中SNV的独特突变性质可能保持更高的GC含量,受GC偏差转换的影响.