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相关概念视频

Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

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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.
In contrast, regions which code...
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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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Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

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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).
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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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Genetic Variation01:25

Genetic Variation

324
Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
324
Next-generation Sequencing03:00

Next-generation Sequencing

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
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相关实验视频

Updated: Jul 21, 2025

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
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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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通过访问序列变异的概率来预测进化结果.

P Alexander Gunnarsson1,2, M Madan Babu1,2

  • 1MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, UK.

Science advances
|July 28, 2023
PubMed
概括

了解遗传变异有助于预测进化. 变体可访问性,基因型出现的概率,塑造进化路径,影响病毒和瘤等系统的适应性.

科学领域:

  • 进化生物学是进化的生物学.
  • 遗传学 是一个遗传学.
  • 病毒学 病毒学

背景情况:

  • 自然选择需要现有的遗传变异.
  • 预测进化轨迹需要了解变体可访问性.
  • 遗传密码和突变偏差会影响哪些变体可能出现.

研究的目的:

  • 定义和探索"变体可访问性"作为进化结果的预测因素.
  • 引入基因型可访问性景观的概念.
  • 用A型流感病毒模型证明变种可访问性的实用性.

主要方法:

  • 定义基于突变概率和遗传代码结构的变种可访问性.
  • 分析从起始序列可访问的基因型空间.
  • 将可访问的变体与健身景观进行比较.

主要成果:

  • 变异可访问性是由核酸突变偏差和遗传代码结构所塑造的.
  • 一种更容易获得的,虽然不太适合的变种可以作为一种适应而出现.
  • 一个基因型可访问性景观补充了基因型适应性景观.

结论:

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  • 变体可访问性为预测适应性基因型的出现提供了一个框架.
  • 这种方法适用于病毒和瘤等不断发展的系统.
  • 了解变体可访问性可以提高对进化轨迹的预测.