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相关概念视频

The Evidence for Evolution02:55

The Evidence for Evolution

48.4K
Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.
48.4K
Convergent Evolution01:54

Convergent Evolution

33.1K
Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.
33.1K
Eukaryotic Evolution01:24

Eukaryotic Evolution

42.5K
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.
Contrary to the endosymbiont theory, the eukaryote-first hypothesis proposes that the simpler prokaryotic and...
42.5K
Synteny and Evolution02:31

Synteny and Evolution

3.8K
John H. Renwick first coined the term “synteny” in 1971, which refers to the genes present on the same chromosomes, even if they are not genetically linked. The species with common ancestry tend to show conserved syntenic regions. Therefore, the concept of synteny is nowadays used to describe the evolutionary relationship between species.
Around 80 million years ago, the human and mice lineages diverged from the common ancestor. During the course of evolution, the ancestral...
3.8K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

3.7K
3.7K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

8.2K
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...
8.2K

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相关实验视频

Updated: Feb 14, 2026

Molecular Evolution of the Tre Recombinase
12:02

Molecular Evolution of the Tre Recombinase

Published on: May 29, 2008

10.1K

时间超图上的战略演变.

Xiaochen Wang1, Lei Zhou2, Alex McAvoy3,4

  • 1Center for Systems and Control, School of Advanced Manufacturing and Robotics, Peking University, Beijing 100871, China.

Proceedings of the National Academy of Sciences of the United States of America
|February 12, 2026
PubMed
概括
此摘要是机器生成的。

时间超图,模型的时间变化,更高层次的相互作用,促进合作比静态网络. 这项研究揭示了动态的群体相互作用如何塑造系统中的合作行为.

关键词:
合作合作的演变.进化游戏理论的演化游戏理论.网络互惠 网络互惠 网络互惠时间超图的时间超图.

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Investigation of Early Plasma Evolution Induced by Ultrashort Laser Pulses
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Investigation of Early Plasma Evolution Induced by Ultrashort Laser Pulses

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Procedure for Adaptive Laboratory Evolution of Microorganisms Using a Chemostat
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Procedure for Adaptive Laboratory Evolution of Microorganisms Using a Chemostat

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相关实验视频

Last Updated: Feb 14, 2026

Molecular Evolution of the Tre Recombinase
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Molecular Evolution of the Tre Recombinase

Published on: May 29, 2008

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Investigation of Early Plasma Evolution Induced by Ultrashort Laser Pulses
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Investigation of Early Plasma Evolution Induced by Ultrashort Laser Pulses

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Procedure for Adaptive Laboratory Evolution of Microorganisms Using a Chemostat
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Procedure for Adaptive Laboratory Evolution of Microorganisms Using a Chemostat

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科学领域:

  • 进化游戏理论的演化游戏理论.
  • 网络科学 网络科学
  • 复杂的系统复杂的系统.

背景情况:

  • 合作是研究在结构化系统,经常使用静态网络代表永久的,对联的连接.
  • 现实世界的互动是动态的,可以涉及两个以上的个体,这些局限性无法被静态网络所捕获.

研究的目的:

  • 在时间超图上研究合作动态,这些超图模拟时间变化,更高阶的相互作用.
  • 将时间超图与静态网络的合作水平进行比较.
  • 确定时间超图的结构特征,以促进合作.

主要方法:

  • 在时间超图上建模合作,允许时间变化和多个体链接 (超边缘).
  • 分析网络结构,交互顺序和时间动态对合作的影响.
  • 使用合成和实证的超图数据进行验证.

主要成果:

  • 与静态网络相比,时间超图显著促进合作.
  • 静态网络可能低估了局部交互的合作效益.
  • 通过稀疏的时间超图增强了合作,具有更高阶的相互作用.
  • 当超边缘尺寸相对于人口数量相对较小时,就会发生最佳合作.

结论:

  • 时间超图为研究合作提供了一个更现实的框架.
  • 时间变化,高阶相互作用的动态对于理解合作的演变至关重要.
  • 网络结构,特别是时间和超级网络特征,深刻影响合作成果.