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Mutations

Mutations

Mutation, Gene Flow, and Genetic Drift

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).

Mutations

Mutations

Genome Size and the Evolution of New Genes

Genome Size and the Evolution of New Genes

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.

Mutations

Mutations

Mutations are changes in the sequence of DNA. These changes can occur spontaneously or they can be induced by exposure to environmental factors. Mutations can be characterized in a number of different ways: whether and how they alter the amino acid sequence of the protein, whether they occur over a small or large area of DNA, and whether they occur in somatic cells or germline cells.
Chromosomal Alterations Are Large-Scale Mutations
While point mutations are changes in a single nucleotide in...

Genome Size and the Evolution of New Genes

Genome Size and the Evolution of New Genes

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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Related Experiment Video

Updated: May 8, 2026

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Published on: April 4, 2018

Loaded dice for human genome mutation.

Chris P Ponting¹

¹MRC Functional Genomics Unit, Department of Physiology, Anatomy and Genetics, University of Oxford, South Parks Road, Oxford OX1 3PT, UK. chris.ponting@dpag.ox.ac.uk

|December 25, 2012

Summary

This summary is machine-generated.

Human genome bases vary in mutation susceptibility. Michaelson et al. found individuals acquire clustered de novo DNA changes, with single base pair change likelihood differing by three orders of magnitude.

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Area of Science:

Genomics
Molecular Biology
Human Genetics

Background:

The human genome contains numerous DNA bases, but their susceptibility to spontaneous mutations is not uniform.
Previous research has not fully elucidated the spatial distribution and variability of de novo DNA alterations across the genome.

Discussion:

Michaelson et al. present evidence for localized clusters of de novo DNA changes within individuals.
This suggests that certain genomic regions may be predisposed to accumulating mutations.
The study highlights significant variability in the probability of single base pair changes, spanning three orders of magnitude.

Key Insights:

Genomic regions exhibit differential rates of mutation, challenging the assumption of uniform susceptibility.
Individuals can accumulate distinct clusters of new DNA alterations, indicating non-random mutation patterns.
The probability of a single base pair change varies significantly, with implications for understanding genetic variation.

Outlook:

Further research into the mechanisms driving these mutation hotspots could reveal new insights into genome stability.
Understanding these mutation patterns may impact fields like personalized medicine and evolutionary biology.
This work provides a foundation for exploring the functional consequences of mutation heterogeneity.