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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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Phylogenetic Trees03:21

Phylogenetic Trees

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Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
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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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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.
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Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
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相关实验视频

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A Practical Guide to Phylogenetics for Nonexperts
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从使用复合概率的序列数据推断族系网络.

Sungsik Kong1,2, David L Swofford3, Laura S Kubatko1,4

  • 1Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, OH 43210, USA.

Systematic biology
|October 10, 2024
PubMed
概括

PhyNEST是一种用于推断家族遗传网络的新计算方法,改进了涉及杂交的进化研究. 这种可扩展的方法直接使用序列数据,为复杂的进化历史提供了更高的准确性.

关键词:
复合概率是一个概率.混合化 混合化 混合化网络推断 网络推断网络多种类的凝聚性聚变.一个家族遗传网络.网站模式 网站模式

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科学领域:

  • 进化生物学 进化生物学
  • 计算生物学 计算生物学
  • 基因组学就是基因组学.

背景情况:

  • 遗传学树是不够的描绘进化过程,如杂交.
  • 杂交,物种的交配,需要家族遗传网络来准确表示.
  • 目前用于族系网络推断的方法是计算密集型的,并且限制了实际应用.

研究的目的:

  • 介绍PhyNEST (使用SiTe模式进行家族遗传网络估计),这是一种用于估计家族遗传网络的新,可扩展的方法.
  • 为了从序列数据中直接推断二进制,一级的基因网络.
  • 克服现有的族系遗传网络估计技术的计算限制.

主要方法:

  • PhyNEST使用复合概率推断,高效地处理全基因组数据.
  • 该方法采用登和模拟炼算法来探索网络空间.
  • 假设包括凝聚的独立地点,Jukes-Cantor替代模型和恒定的有效人口规模.

主要成果:

  • 与现有的复合概率方法 (SNaQ和PhyloNet) 相比,PhyNEST在模拟研究中显示出更高的准确性.
  • 该方法对某些模型错误规范具有稳定性,例如使用更简单的替代模型.
  • 通过PhyNEST成功地重建了Heliconius蝶和Papionini灵长类动物的进化关系.

结论:

  • PhyNEST提供了一个计算可处理和准确的解决方案,可以直接从序列数据中推断家族遗传网络.
  • 该方法有助于更全面地了解由杂交和内进形成的进化历史.
  • 作为一个开源的Julia包,PhyNEST是可用的,促进在进化研究中更广泛的采用.