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Related Concept Videos

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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Mismatch Repair01:20

Mismatch Repair

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Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...
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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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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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Spontaneous and Induced Mutations01:30

Spontaneous and Induced Mutations

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Spontaneous mutations arise infrequently during DNA replication due to errors in the process. A key factor behind these errors is tautomeric shifts in nitrogenous bases, where bases transition from keto to enol forms or amino to imino forms. This shift can alter base-pairing rules, leading to mutations. Additionally, reactive oxygen species (ROS) arising from aerobic metabolism can damage DNA, resulting in depurination (loss of a purine base) or depyrimidination (loss of a pyrimidine base).
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Mutations01:39

Mutations

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Related Experiment Video

Updated: Feb 26, 2026

Measuring Microbial Mutation Rates with the Fluctuation Assay
07:44

Measuring Microbial Mutation Rates with the Fluctuation Assay

Published on: November 28, 2019

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A new twist in measuring mutation rates.

Bartram L Smith1, Claus O Wilke1

  • 1Department of Integrative Biology, The University of Texas at Austin, Austin, United States.

Elife
|July 15, 2017
PubMed
Summary

The influenza virus shows rapid mutation rates, exceeding prior scientific understanding. This accelerated evolution impacts viral surveillance and vaccine development strategies.

Keywords:
diversityevolutionevolutionary biologygenomicsinfectious diseasemicrobiologymutation ratevirus

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Area of Science:

  • Virology
  • Molecular Biology
  • Epidemiology

Background:

  • Influenza viruses are known for antigenic drift and shift.
  • Previous estimates suggested a moderate mutation rate for influenza viruses.

Purpose of the Study:

  • To reassess the mutation rate of the influenza virus.
  • To compare current mutation rates with historical data.

Main Methods:

  • Phylogenetic analysis of viral genome sequences.
  • Statistical modeling of evolutionary rates.

Main Results:

  • The influenza virus exhibits a significantly higher mutation rate than previously estimated.
  • Analysis reveals accelerated genetic diversification in recent influenza strains.

Conclusions:

  • Influenza virus evolution is more dynamic than anticipated.
  • Higher mutation rates necessitate adaptive strategies for influenza control and prevention.