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相关概念视频

Viral Mutations00:36

Viral Mutations

39.6K
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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Viruses with RNA Genomes01:29

Viruses with RNA Genomes

833
RNA viruses are categorized into positive-strand, negative-strand, or double-stranded groups based on their genomic structure and replication mechanisms. This classification dictates how they exploit host cellular machinery for protein synthesis and replication. Some RNA viruses also utilize reverse transcription as part of their life cycle, further diversifying their replication strategies.Positive-Strand RNA VirusesPositive-strand RNA viruses have genomes that function directly as messenger...
833
Size and Structure of Viral Genomes01:26

Size and Structure of Viral Genomes

703
Viral genomes exhibit remarkable diversity in size, structure, and composition, influencing their replication strategies and interactions with host cells. These genomes consist of either DNA or RNA and may be linear or circular. Additionally, they can be single-stranded or double-stranded, with each configuration affecting how the virus propagates within a host. RNA viruses, for instance, generally have smaller genomes than DNA viruses, a factor that contributes to their high mutation rates and...
703
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

62.0K
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).
62.0K
Viral Recombination00:57

Viral Recombination

24.9K
Cells are sometimes infected by more than one virus at once. When two viruses disassemble to expose their genomes for replication in the same cell, similar regions of their genomes can pair together and exchange sequences in a process called recombination. Alternatively, viruses with segmented genomes can swap segments in a process called reassortment.
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Retrovirus Life Cycles01:10

Retrovirus Life Cycles

49.3K
Retroviruses have a single-stranded RNA genome that undergoes a special form of replication. Once the retrovirus has entered the host cell, an enzyme called reverse transcriptase synthesizes double-stranded DNA from the retroviral RNA genome. This DNA copy of the genome is then integrated into the host’s genome inside the nucleus via an enzyme called integrase. Consequently, the retroviral genome is transcribed into RNA whenever the host’s genome is transcribed, allowing the...
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Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency
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waveess:一种R包,用于模拟宿主内部自适应性病毒序列演变的模拟.

Narmada Sambaturu1,2, Zena Lapp1, Fernando D K Tria1

  • 1Theoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.

PLoS computational biology
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概括

这项研究介绍了waveess,这是一个新的R包,用于模拟宿主体内的病毒进化. 它模拟了重组和选择,对HIV-1数据进行验证,并显示出现实的免疫反应异质性.

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科学领域:

  • 病毒学 病毒学
  • 计算生物学 计算生物学
  • 进化生物学 进化生物学

背景情况:

  • 了解宿主病毒内部的进化对于研究病毒多样化和适应至关重要.
  • 诸如重组和宿主免疫反应等因素显著影响了病毒的进化.

研究的目的:

  • 介绍 wavess,一种用于模拟宿主病毒进化的新型软件和 R 包.
  • 提供一个用户友好的工具,用于建模重组,免疫反应和选择压力.
  • 为了验证模型的性能与实证病毒序列数据对比.

主要方法:

  • 开发了waveess作为一个离散时间,基于个人的模型.
  • 实现了重组,潜伏感染细胞和多种选择类型 (保存站点,复制,免疫) 的模拟.
  • 创建了一个R包,包含用于输入生成和输出分析的功能.

主要成果:

  • 应用波形模拟11个个体的HIV-1 env序列演变.
  • 证明免疫成本在个体之间有所不同,反映了异构的免疫反应.
  • 显示了模拟序列中的族系与真实序列中的族系密切匹配.

结论:

  • wavess是一个经过严格验证的工具,用于模拟宿主病毒内部的进化.
  • R包提供了一个全面的解决方案,用于建模复杂的进化动态.
  • 该模型准确地捕捉了关键的进化过程,包括免疫驱动的适应.