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相关概念视频

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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Mutations in Microorganisms01:18

Mutations in Microorganisms

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Mutations are heritable changes in an organism’s genome involving alterations in the base sequence of DNA or RNA. These changes can influence cellular processes and phenotypic traits, potentially transforming the unaltered wild type into a mutant form. Such changes, termed forward mutations, are pivotal in shaping the genetic diversity of organisms.RNA viruses exhibit the highest mutation rates due to the absence of robust proofreading mechanisms during genome replication. In contrast,...
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Gene Evolution - Fast or Slow?02:05

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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.
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Viral Mutations00:36

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A mutation is a change in the sequence of bases of DNA or RNA in a genome. Some mutations occur during replication of the genome due to errors made by the polymerase enzymes that replicate DNA or RNA. Unlike DNA polymerase, RNA polymerase is prone to errors because it is not capable of “proofreading” its work. Viruses with RNA-based genomes, like HIV, therefore accrue mutations faster than viruses with DNA-based genomes. Because mutation and recombination provide the raw material...
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Genetic Drift03:33

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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.
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Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
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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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在指数级增长的人口中的顺序突变.

Michael D Nicholson1, David Cheek2, Tibor Antal3

  • 1Edinburgh Cancer Research, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.

PLoS computational biology
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PubMed
概括
此摘要是机器生成的。

这项研究使用随机过程来模拟癌症和细菌进化. 它揭示了具有n个突变的细胞的数量和到达时间遵循特定的分布,无论突变类型如何.

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Measuring Microbial Mutation Rates with the Fluctuation Assay
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相关实验视频

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科学领域:

  • 进化生物学是进化的生物学.
  • 数学生物学的数学生物学
  • 遗传学 是一个遗传学.

背景情况:

  • 随机模型对于理解癌症和细菌进化至关重要,特别是跟踪顺序突变的获取.
  • 关键问题包括确定具有特定突变的细胞数量及其出现时间,特别是在指数增长的种群中.
  • 之前的模型只在有限的场景中解决了这些问题.

研究的目的:

  • 开发一个总体框架,用于在不断变化的种群中建模顺序突变的获取.
  • 在广义条件下推导出具有n个突变的细胞的数量和到达时间的概率分布.
  • 为评估人口和突变率对突变细胞出现的影响提供一种方法.

主要方法:

  • 使用多种类型的分支过程框架来建模人口增长和突变.
  • 分析具有生物相关性的限制性疗法,其特点是大时间和小突变率.
  • 导出细胞计数及其出现时间的分析概率分布.

主要成果:

  • 具有n个突变的细胞数量遵循米塔格-莱弗勒分布.
  • 具有n个突变的细胞的到达时间遵循逻辑分布.
  • 这些分布不论突变的数量 (n) 或它们的选择性影响 (有利,中性或有害) 是真的.

结论:

  • 衍生分布为预测突变细胞动态在不断变化的种群中提供了通用的解决方案.
  • 这些发现可以快速评估分裂,死亡和突变率的变化如何影响突变细胞的出现.
  • 结果对改进突变率推断方法有意义,例如在波动分析中使用的方法.