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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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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.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
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Convergent Evolution01:54

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Eukaryotic Evolution01:24

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The endosymbiont theory is the most widely accepted theory of eukaryotic evolution; however, its progression is still somewhat debated. According to the nucleus-first hypothesis, the ancestral prokaryote first evolved a membrane to enclose DNA and form the nucleus. Conversely, the mitochondria-first hypothesis suggests that the nucleus was formed after endosymbiosis of mitochondria.
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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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进化序列的内置复杂性 进化序列的内置复杂性

Jonathan D Phillips1

  • 1Earth Surface Systems Program, University of Kentucky, Lexington, KY 40506, USA.

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概括
此摘要是机器生成的。

进化序列具有固有的复杂性. 一个基于代数图形理论的新索引量化了历史生态和环境系统中嵌入的复杂性.

关键词:
代数图形理论的代数图形理论.嵌入式复杂性 嵌入式复杂性进化序列的演变过程历史序列的历史序列.的光谱半径.状态和过渡模型的状态和过渡模型

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科学领域:

  • 生态生态学 生态生态学
  • 进化生物学 进化生物学
  • 复杂的系统复杂的系统.

背景情况:

  • 生物和环境系统由于非线性动态,历史偶然性和干扰而表现出多种进化途径和结果.
  • 了解从多种可能性中实际发生的单一历史序列对于生态和进化研究至关重要.
  • 现有的方法可能无法完全捕捉系统状态的时间进展中固有的复杂性.

研究的目的:

  • 引入一种新的方法来量化历史序列的嵌入式复杂性,使用代数图形理论.
  • 开发一个反映进化和生态序列信息内容和复杂性的索引.
  • 将这种复杂度指数应用于生态状态和过渡模型 (STM) 和各种案例研究.

主要方法:

  • 代表历史序列作为一系列的系统状态S(t).
  • 利用代数式图形理论来分析序列,专注于光谱半径 (λ1) 作为复杂性的度量.
  • 通过将整个序列的复杂性与其组成子序列进行比较来计算嵌入式复杂性指数.

主要成果:

  • 嵌入式复杂性指数量化了历史序列中的信息和复杂性.
  • 随着序列的延长,整体复杂性异常接近 λ1 = 2,而嵌入式复杂性显著增加 (N^2.6).
  • 该方法成功应用于四个不同的案例研究:盆地社区,冰川继承,松树林和三角洲息地.

结论:

  • 开发的嵌入式复杂度指数为分析复杂系统中历史序列提供了强大的方法.
  • 这种方法为生态和环境系统的信息动态和进化轨迹提供了新的见解.
  • 这些发现对理解系统动态,预测未来状态以及解释古生态和地层学记录具有重要意义.