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相关概念视频

Hardy-Weinberg Principle01:49

Hardy-Weinberg Principle

71.8K
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.
71.8K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

58.1K
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).
58.1K
Frequency-dependent Selection01:21

Frequency-dependent Selection

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When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
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What is Population Genetics?01:25

What is Population Genetics?

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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.
57.6K
Genetic Drift03:33

Genetic Drift

39.5K
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.
39.5K
Gene Flow02:39

Gene Flow

34.8K
Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
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相关实验视频

Updated: Jun 7, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

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在多基因选择下,针对异基频率动态的途径积分方法.

Nathan W Anderson1, Lloyd Kirk1, Joshua G Schraiber2

  • 1Department of Integrative Biology, University of Wisconsin-Madison, Madison, WI 53706, USA.

Genetics
|November 12, 2024
PubMed
概括

这项研究扩展了途径积分方法,以预测在进化和再序列实验中选择的等位基因频率变化. 新的分析表达式有助于识别复杂的多基因特征的遗传结构.

科学领域:

  • 定量遗传学 是一种定量遗传学.
  • 进化生物学是进化的生物学.
  • 人口遗传学 人口遗传学

背景情况:

  • 多基因特征对遗传架构研究和表型预测构成挑战.
  • 进化和再序列 (E&R) 实验通过选择的等位基频率变化 (AFC) 识别特征位置.
  • 在AFC中区分选择与遗传漂移是很困难的,特别是复杂的特征.

研究的目的:

  • 扩展用于预测在定量遗传学中选择下的AFC的途径积分方法.
  • 在稳定和适应性选择下,为等位基过渡概率推导分析表达式.
  • 改进E&R实验的设计,以发现多基因架构.

主要方法:

  • 应用扰动近似,一种路径积分方法,对定量遗传学选择场景.
  • 为等位基过渡概率衍生分析表达式.
  • 利用这些表达式来分析AFC用于选择检测和E&R实验设计.

主要成果:

  • 在稳定性和适应性选择下,开发了用于等位基频率动态的新分析表达式.
  • 提供了一个框架,以便在E&R实验中更好地区分选择与漂移.
  • 描述了研究多基因特征的最佳E&R实验设计.
关键词:
扩散的近似值.它们进化和重新排序.多基因选择多基因选择.过渡密度的过渡密度是什么

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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

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Mutagenesis and Functional Selection Protocols for Directed Evolution of Proteins in E. coli
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Mutagenesis and Functional Selection Protocols for Directed Evolution of Proteins in E. coli

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相关实验视频

Last Updated: Jun 7, 2025

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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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
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Mutagenesis and Functional Selection Protocols for Directed Evolution of Proteins in E. coli
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Mutagenesis and Functional Selection Protocols for Directed Evolution of Proteins in E. coli

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结论:

  • 扩展路径积分方法增强了对复杂特征的E&R实验的分析.
  • 这项工作提供了工具,以更好地了解适应和特征演变的遗传基础.
  • 改进的实验设计将有助于发现基因架构的基因架构,这些基因架构是多基因特征的基础.