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相关概念视频

Population Growth00:57

Population Growth

29.2K
Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
29.2K
Genetic Drift03:33

Genetic Drift

44.6K
Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
44.6K
Modeling with Differential Equations01:25

Modeling with Differential Equations

133
Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
133
Hardy-Weinberg Principle01:49

Hardy-Weinberg Principle

77.0K
Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.
77.0K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

65.1K
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
65.1K
What is Population Genetics?01:25

What is Population Genetics?

65.2K
A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
65.2K

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相关实验视频

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Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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Following the Dynamics of Structural Variants in Experimentally Evolved Populations

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任何种群结构的进化动态

Benjamin Allen1,2,3, Gabor Lippner3,4, Yu-Ting Chen2,3,5

  • 1Department of Mathematics, Emmanuel College, Boston, Massachusetts, USA.

Nature
|March 30, 2017
PubMed
概括
此摘要是机器生成的。

结构化的群体中的进化游戏动态是复杂的. 这项研究表明,在具有强烈对联关系的群体中,合作会勃发展,为弱选择场景提供新的解决方案.

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Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
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Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
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相关实验视频

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Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
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科学领域:

  • 进化生物学
  • 游戏理论
  • 网络科学

背景情况:

  • 人口结构显著影响进化轨迹.
  • 在一般结构化群体中理解进化游戏动态在计算上具有挑战性.
  • 现有的数学解决方案仅限于具有统一连接性的特定人口结构.

研究的目的:

  • 在弱选择下的结构化群体中开发进化游戏动态的一般解决方案.
  • 研究不同的人口结构如何影响合作的演变.
  • 提供适用于任意图形或网络结构的方法.

主要方法:

  • 在图表上使用随机走路的凝聚时间.
  • 分析不同的人口结构以评估他们倾向于合作.
  • 使用图形手术技术研究小结构变化对进化结果的影响.

主要成果:

  • 在随意图表上的进化游戏中提出了弱选择的新解决方案.
  • 发现合作在具有强烈对联关系的群体中最为繁荣.
  • 这项研究表明网络拓如何影响进化稳定性和合作水平.

结论:

  • 开发的方法为复杂网络中的进化游戏动态研究提供了可计算的方法.
  • 强大的本地互动和密集的本地社区是合作发展的关键驱动力.
  • 这些发现对理解社会行为和设计强大的社会结构有影响.