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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,...
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...
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
Mismatch Repair01:20

Mismatch Repair

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...
Genetic Variation01:25

Genetic Variation

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.
Genes exist in different versions called alleles, which...
Point and Frameshift Mutations01:30

Point and Frameshift Mutations

Point mutations are genetic alterations involving the change of a single nucleotide base pair in DNA. Depending on how the alteration affects protein synthesis, they can lead to various consequences.Point mutations fall into the following types:Silent mutations occur when a nucleotide change does not alter the amino acid sequence due to the redundancy of the genetic code. For instance, changing ACC to ACA still encodes threonine, leaving the protein function unaffected. This occurs because...

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Related Experiment Video

Updated: Jul 12, 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

Assessing variability by joint sampling of alignments and mutation rates.

D Metzler1, R Fleissner, A Wakolbinger

  • 1Johann Wolfgang Goethe-Universität, Fachbereich Mathematik, D-60054 Frankfurt am Main, Germany. dmetzler@math.uni-frankfurt.de

Journal of Molecular Evolution
|October 26, 2001
PubMed
Summary

Estimating sequence alignment and mutation parameters can be inaccurate with single methods. Our approach samples alignments and parameters jointly for a more realistic uncertainty assessment in evolutionary studies.

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

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Related Experiment Videos

Last Updated: Jul 12, 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

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

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Measuring Microbial Mutation Rates with the Fluctuation Assay
07:44

Measuring Microbial Mutation Rates with the Fluctuation Assay

Published on: November 28, 2019

Area of Science:

  • Computational Biology
  • Bioinformatics
  • Evolutionary Genetics

Background:

  • Single sequence alignment parameter sets can lead to underestimated variability.
  • Mutation parameters derived from a single optimal alignment may not reflect true uncertainty.

Purpose of the Study:

  • To develop a method for simultaneously sampling sequence alignments and mutation parameters.
  • To obtain a more realistic estimation of uncertainty in sequence analysis.

Main Methods:

  • Joint posterior distribution sampling of sequence alignments and mutation parameters.
  • Application to human and orangutan hypervariable region I sequences.
  • Analysis of gene-pseudogene pairs.

Main Results:

  • Demonstrated a method to capture the joint variability of alignments and parameters.
  • Provided a more accurate assessment of uncertainty compared to single-alignment approaches.
  • Illustrated the method's utility in evolutionary sequence analysis.

Conclusions:

  • Simultaneous sampling provides a more robust estimation of uncertainty in sequence alignment and parameter estimation.
  • The proposed method enhances the reliability of evolutionary analyses.
  • Applicable to diverse sequence comparison scenarios.