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Related Concept Videos

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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Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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Genome Size and the Evolution of New Genes03:21

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While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
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Mutations

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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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Genome-wide mutation detection by interclonal genetic variation.

Javier R Revollo1, Azra Dad1, Lea P McDaniel1

  • 1Division of Genetic and Molecular Toxicology, National Center for Toxicological Research, Food and Drug Administration, Jefferson, AR, USA.

Mutation Research. Genetic Toxicology and Environmental Mutagenesis
|April 30, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces Interclonal Genetic Variation (ICGV) for genome-wide mutation detection. ICGV directly identifies mutations by comparing single-cell clones, offering a broader view than traditional reporter gene assays.

Keywords:
ClonalCloneNext generation sequencingSingle-cellVariant

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Area of Science:

  • Genetics
  • Molecular Biology
  • Toxicology

Background:

  • Current genetic toxicology assays rely on reporter genes, limiting mutation detection to specific genomic regions and models.
  • These methods often fail to capture the full spectrum of mutations across the genome.

Purpose of the Study:

  • To introduce and validate a novel method, Interclonal Genetic Variation (ICGV), for direct, genome-wide mutation detection.
  • To demonstrate the efficacy of ICGV in quantifying mutations induced by chemical mutagens.

Main Methods:

  • Comparing sequencing data from single-cell clones derived from the same source.
  • Applying ICGV to detect mutations in *E. coli* exposed to ethyl methanesulfonate (EMS).
  • Utilizing ICGV to analyze somatic mutations in T-cell clones from rats treated with N-ethyl-N-nitrosourea (ENU).

Main Results:

  • ICGV successfully detected dose- and time-dependent increases in mutations in *E. coli* after EMS exposure.
  • A significant, approximately 20-fold increase in somatic mutations was identified in T-cell clones from ENU-treated rats compared to controls.
  • ICGV demonstrated its capability for genome-wide mutation identification.

Conclusions:

  • Interclonal Genetic Variation (ICGV) provides a powerful tool for comprehensive, genome-wide mutation detection.
  • This method overcomes the limitations of traditional reporter gene assays by analyzing genetic differences across single-cell clones.
  • ICGV is effective in quantifying chemically induced mutations in various organisms.