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Related Concept Videos

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).
Genetic Drift03:33

Genetic Drift

Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
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...
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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...
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...
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...

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Related Experiment Video

Updated: May 8, 2026

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

Evolutionary genomics: codon volatility does not detect selection.

Ying Chen1, J J Emerson, Todd M Martin

  • 1Department of Ecology and Evolution, University of Chicago, Chicago, Illinois 60637, USA.

Nature
|January 22, 2005
PubMed
Summary
This summary is machine-generated.

Codon volatility, a method for detecting selection using single genome sequences, is found to be unreliable. The study demonstrates that this index does not accurately detect selection and has limited applicability across genomes.

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Area of Science:

  • Evolutionary biology
  • Genomics
  • Bioinformatics

Background:

  • A novel method using codon volatility to detect natural selection from single genome sequences was proposed.
  • This method aimed for broad applicability across diverse sequenced organisms.

Discussion:

  • The re-examination found that codon volatility does not reliably detect selection.
  • The method's underlying assumptions are not met by key model organisms like Mycobacterium tuberculosis and Plasmodium falciparum.
  • This limits the practical application of the codon volatility index in evolutionary studies.

Key Insights:

  • Codon volatility index fails as a robust indicator of selection.
  • The genomic assumptions for the codon volatility method are frequently violated.
  • The proposed method's utility is significantly restricted.

Outlook:

  • Further research is needed to develop accurate single-genome methods for selection detection.
  • Re-evaluation of existing genomic datasets using validated methods is recommended.
  • Understanding selection pressures requires more sophisticated bioinformatic approaches.