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Related Concept Videos

Viral Mutations00:36

Viral Mutations

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 for adaptive...
Mutations in Microorganisms01:18

Mutations in Microorganisms

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,...
Size and Structure of Viral Genomes01:26

Size and Structure of Viral Genomes

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...
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

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...
Viral Recombination00:57

Viral Recombination

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.
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

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).Mechanisms of Genetic VariationThe original sources of genetic variation are mutations,...

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Related Experiment Video

Updated: Jun 10, 2026

Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency
18:10

Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency

Published on: June 16, 2011

Viral mutation rates.

Rafael Sanjuán1, Miguel R Nebot, Nicola Chirico

  • 1Institut Cavanilles de Biodiversitat y Biologia Evolutiva, Departament de Genetica, Universitat de València, C/Catedrático Agustín Escardino 9, Paterna 46980, València, Spain. rafael.sanjuan@uv.es

Journal of Virology
|July 28, 2010
PubMed
Summary
This summary is machine-generated.

Virus mutation rates are crucial for understanding viral evolution and control. This study provides standardized estimates for 23 viruses, revealing distinct rates for DNA and RNA viruses and highlighting nucleotide substitutions as more frequent than indels.

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Measuring Microbial Mutation Rates with the Fluctuation Assay
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Measuring Microbial Mutation Rates with the Fluctuation Assay

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Studying Ribonucleotide Incorporation: Strand-specific Detection of Ribonucleotides in the Yeast Genome and Measuring Ribonucleotide-induced Mutagenesis
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Studying Ribonucleotide Incorporation: Strand-specific Detection of Ribonucleotides in the Yeast Genome and Measuring Ribonucleotide-induced Mutagenesis

Published on: July 26, 2018

Related Experiment Videos

Last Updated: Jun 10, 2026

Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency
18:10

Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency

Published on: June 16, 2011

Measuring Microbial Mutation Rates with the Fluctuation Assay
07:44

Measuring Microbial Mutation Rates with the Fluctuation Assay

Published on: November 28, 2019

Studying Ribonucleotide Incorporation: Strand-specific Detection of Ribonucleotides in the Yeast Genome and Measuring Ribonucleotide-induced Mutagenesis
09:04

Studying Ribonucleotide Incorporation: Strand-specific Detection of Ribonucleotides in the Yeast Genome and Measuring Ribonucleotide-induced Mutagenesis

Published on: July 26, 2018

Area of Science:

  • Virology
  • Evolutionary Biology
  • Genetics

Background:

  • Accurate virus mutation rate estimation is vital for understanding viral evolution and developing control strategies.
  • Existing estimation methods are diverse and complex, hindering comparative analyses.
  • A standardized approach is needed to compare mutation rates across different viruses.

Purpose of the Study:

  • To critically review existing studies on virus mutation rates.
  • To establish criteria for comparative analyses of mutation rates.
  • To provide standardized mutation rate estimates for 23 viruses.

Main Methods:

  • Conducted a critical review of over 40 original studies on virus mutation rates.
  • Established criteria for facilitating comparative analyses.
  • Applied a novel statistical method to correct for selection bias.
  • Estimated mutation rates as substitutions per nucleotide per cell infection (s/n/c).

Main Results:

  • Mutation rates varied from 10⁻⁸ to 10⁻⁶ s/n/c for DNA viruses and 10⁻⁶ to 10⁻⁴ s/n/c for RNA viruses.
  • A negative correlation between mutation rate and genome size was observed for RNA viruses, requiring further investigation.
  • Nucleotide substitutions were, on average, four times more common than insertions/deletions (indels).
  • Retrovirus mutation rates were not lower than other RNA viruses.

Conclusions:

  • Standardized mutation rate estimates provide a valuable resource for virology research.
  • The findings offer insights into the evolutionary dynamics of viruses.
  • A regularly updated dataset of virus mutation rates will be publicly available.