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相关概念视频

Mismatch Repair01:20

Mismatch Repair

4.8K
Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...
4.8K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

58.2K
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).
58.2K
Hardy-Weinberg Principle01:49

Hardy-Weinberg Principle

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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.
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Mutations01:39

Mutations

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Overview
81.1K
Genome Copying Errors02:46

Genome Copying Errors

4.2K
DNA replication is a well-evolved process that copies millions of base pairs with high fidelity during each cell division. Occasionally a wrong base or a long stretch of wrong bases may get added to the daughter strands. If the errors are left unchecked, cells might accumulate several mutations that might endanger their  survival. Therefore, the copying errors are checked and repaired at three levels.
4.2K
Chi-square Analysis02:46

Chi-square Analysis

38.1K
The chi-square test is a statistical hypothesis test. It is used to check whether there is a significant difference between an expected value and an observed value. In the context of genetics, it enables us to either accept or reject a hypothesis, based on how much the observed values deviate from the expected values.
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
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相关实验视频

Updated: Jun 13, 2025

In Vivo Modeling of the Morbid Human Genome using Danio rerio
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In Vivo Modeling of the Morbid Human Genome using Danio rerio

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演变为突变效应的有利分布.

David G King1

  • 1Department of Anatomy, School of Medicine, Southern Illinois University Carbondale, Carbondale, IL, USA; Department of Zoology, College of Agricultural, Life, and Physical Sciences, Southern Illinois University Carbondale, Carbondale, IL, USA.

Trends in genetics : TIG
|September 15, 2024
PubMed
概括
此摘要是机器生成的。

串联重复的DNA序列产生了许多重复数量的突变. 这些经常被忽视的突变对于理解进化和适应至关重要,特别是那些具有较小适应性影响的突变.

关键词:
健身效应的分布 健身影响的分布它们的可进化性.间接选择 间接选择突变的约束 突变的限制串联重复重复的重复

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Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
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相关实验视频

Last Updated: Jun 13, 2025

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12:31

In Vivo Modeling of the Morbid Human Genome using Danio rerio

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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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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
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科学领域:

  • 遗传学和进化生物学
  • 分子生物学分子生物学

背景情况:

  • 众所周知,双重重复的DNA序列具有很高的突变率.
  • 了解突变效应 (有害,中性,有益) 是可进化的关键.
  • 协同重复的小效应突变在适应性研究中经常被忽视.

研究的目的:

  • 突出突出在进化过程中的并联重复突变的意义.
  • 为了强调小效应突变在适应中的低估作用.
  • 为了为未来关于并联重复进化的研究提供基础.

主要方法:

  • 分析串联重复DNA中的突变率.
  • 重复数突变的适应性影响分布的表征.
  • 对适应和突变的现有文献的审查.

主要成果:

  • 双重重复会产生大量的重复数突变.
  • 这些突变显示出健身效应的潜在有利分布.
  • 双重重复的小效应突变在进化分析中经常被忽视.

结论:

  • 双重重复突变是一种重要的,但未被充分研究的遗传变异来源.
  • 对这些突变的进一步研究对于全面了解可变性和适应性至关重要.
  • 健身效应的分布表明它在进化过程中起着关键作用.