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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).

Genetic Drift

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.

Mismatch Repair

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.
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The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...

Mismatch Repair

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Mutations in Microorganisms

Mutations in Microorganisms

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,...

Hardy-Weinberg Principle

Hardy-Weinberg Principle

Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.

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Related Experiment Video

Updated: May 17, 2026

Measuring Microbial Mutation Rates with the Fluctuation Assay

Measuring Microbial Mutation Rates with the Fluctuation Assay

Published on: November 28, 2019

Drift-barrier hypothesis and mutation-rate evolution.

Way Sung¹, Matthew S Ackerman, Samuel F Miller

¹Department of Biology, Indiana University, Bloomington, IN 47401, USA.

Proceedings of the National Academy of Sciences of the United States of America

|October 19, 2012

Summary

This summary is machine-generated.

Evolutionary mutation rates are influenced by genome size and effective population size (N(e)). Natural selection optimizes mutation rates, leading to lower rates in species with larger genomes and N(e), impacting molecular evolution across diverse organisms.

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Area of Science:

Evolutionary biology
Molecular evolution
Genomics

Background:

Mutation rate is a key evolutionary trait subject to selection.
Organisms exhibit a wide range of mutation rates, necessitating an explanation.
Previous studies lacked comprehensive data across diverse genomes.

Purpose of the Study:

To refine mutation rate estimates for prokaryotes and eukaryotes.
To propose a unifying explanation for observed variations in mutation rates.
To investigate the relationship between mutation rates, genome size, and effective population size (N(e)).

Main Methods:

Estimating mutation rates in a prokaryote with a small genome.
Estimating mutation rates in a unicellular eukaryote with a large genome.
Integrating new estimates with existing data for comparative analysis.

Main Results:

Mutation rates are inversely scaled with effective population size (N(e)).
Mutation rates are inversely scaled with the proportion of coding DNA in the genome.
Microbial eukaryotes with large N(e) show lower mutation rates than prokaryotes.
Multicellular eukaryotes exhibit elevated deleterious mutation rates due to reduced N(e).

Conclusions:

Natural selection optimizes mutation rates based on N(e) and genome content.
Genome size expansion and reduced N(e) drive evolutionary changes in mutation rates.
A unifying framework explains mutation rate variation across prokaryotes and eukaryotes.