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相关概念视频

Viral Mutations00:36

Viral Mutations

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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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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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Gene Flow02:39

Gene Flow

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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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Types of Genetic Transfer Between Organisms02:18

Types of Genetic Transfer Between Organisms

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Genetic transfer occurs when genetic information is passed from one organism to another. It occurs via two mechanisms: vertical gene transfer and horizontal gene transfer. Vertical gene transfer occurs when genetic information is transferred from one generation to the next, which happens much more frequently than horizontal gene transfer. Both sexual and asexual reproduction are forms of vertical gene transfer, where one or more organisms pass some or all of their genome onto their progeny.
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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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Viral Recombination00:57

Viral Recombination

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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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相关实验视频

Updated: May 21, 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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流行病在生物进化网络上蔓延.

Zhong-Pan Cao1, Jin-Xuan Yang1, Ying Tan1

  • 1School of Statistics and Mathematics, Yunnan University of Finance and Economics, 237 Longquan Road, Kunming, 650221, PR China.

Mathematical biosciences
|March 20, 2025
PubMed
概括

网络演变影响流行病的传播. 这项研究模拟了动态网络,揭示了节点添加/删除如何影响同质和异质系统中的流行病值,并提供了控制疾病传播的策略.

科学领域:

  • 流行病学 流行病学
  • 网络科学 网络科学
  • 数学建模的数学建模

背景情况:

  • 流行病的传播与接触网络的结构密切相关.
  • 现实世界的网络是动态的,由于节点 (个体) 的添加和删除,它们不断变化.
  • 了解这些动态变化对于准确的流行病建模至关重要.

研究的目的:

  • 开发和分析以节点动态发展网络的数学模型.
  • 研究网络演变对同质和异质网络中流行病传播的影响.
  • 在动态网络结构中确定影响流行病值的关键因素.

主要方法:

  • 提出了通过节点添加和删除模拟网络演变的两个数学模型.
  • 在这些不断发展的网络上分析了流行病的传播,重点关注稳定状态条件.
  • 研究了诸如新节点流入,初始程度和删除率等参数的影响.

主要成果:

  • 在同质网络中,流行病值最初会增加,然后随着网络的演变而下降.
  • 在异质网络中,流行病值显示出根据特定条件的可变反应 (增加或减少).
  • 确定了可以操纵的几个因素,以提高流行病值和减轻疾病传播.
关键词:
流行病正在蔓延,流行病正在蔓延.流行病值的值.进化网络 进化的网络数学模型是一个数学模型.

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Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
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Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

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相关实验视频

Last Updated: May 21, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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Published on: February 3, 2023

903
Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
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Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

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Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

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结论:

  • 网络进化显著改变了流行病的动态,在同质结构和异质结构中具有不同的行为.
  • 该研究通过突出控制流行病传播的网络参数,为公共卫生干预提供了可操作的见解.
  • 动态网络的数学建模对于在现实的场景中预测和管理流行病至关重要.