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相关概念视频

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

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The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
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Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

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While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
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Exon Recombination02:32

Exon Recombination

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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. 
Exon shuffling follows “splice frame rules.” Each exon...
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Gene Duplication and Divergence02:37

Gene Duplication and Divergence

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The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are...
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Phylogeny01:23

Phylogeny

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Phylogeny is concerned with the evolutionary diversification of organisms or groups of organisms. A group of organisms with a name is called a taxon (singular). Taxa (plural) can span different levels of the evolutionary hierarchy. For instance, the group containing all birds is a taxon (comprising the class Aves), and the group of all species of daisies (the genus Bellis) is a taxon. Phylogenies can likewise include just one genus (i.e., depict species relationships) or span an entire kingdom.
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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
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桥梁:在大规模的进化分析中根植正义基因的新算法.

Leonardo R S Campos1, Sheyla Trefflich2, Diego A A Morais1

  • 1Bioinformatics Multidisciplinary Environment-BioME, IMD, Federal University of Rio Grande do Norte, Natal, Brazil.

Molecular biology and evolution
|February 2, 2024
PubMed
概括

桥梁使用物种树数据推断了正统基因的进化根源. 这种新的算法有助于理解跨物种的遗传变化和特征进化.

关键词:
在进化过程中扎根.系统生物学 系统生物学系统进化,系统演变.

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科学领域:

  • 进化生物学是进化的生物学.
  • 生物信息学是一种生物信息学.
  • 基因组学就是基因组学.

背景情况:

  • 正义学分析通过利用基因的共同祖先来转移物种之间的功能信息.
  • 重建整个生物系统的进化历史在计算上具有挑战性.
  • 现有的方法与基因家族的大规模进化分析作斗争.

研究的目的:

  • 介绍Bridge,一种用于推断正基因进化根的新算法.
  • 为大规模的进化分析提供可扩展的计算工具.
  • 为了使遗传变化的评估和特征起源的推断.

主要方法:

  • 桥梁算法推断出基因的进化根基于其在物种树内的正统分布.
  • 该算法是在R编程语言中实现的.
  • 它处理高维基因组数据用于进化重建.

主要成果:

  • 布里奇成功地推断出了正义基因组的进化根源.
  • 该算法有助于分析基因家族的进化轨迹.
  • 它可以应用于研究特定生物特征的出现.

结论:

  • 桥提供了一种强大的方法来推断大规模数据集中的进化根源.
  • 该算法增强了我们研究进化过程和特征发展的能力.
  • 桥梁是比较基因组学和进化系统生物学的一个有价值的工具.