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Related Concept Videos

Mutation, Gene Flow, and Genetic Drift01:09

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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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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: Jun 14, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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Polymorphic population expansion velocity in a heterogeneous environment.

L Roques1, N Boutillon2, P Zamberletti1

  • 1INRAE, BioSP, 84914, Avignon, France.

Journal of Theoretical Biology
|September 6, 2024
PubMed
Summary
This summary is machine-generated.

Landscape structure and adaptive evolution significantly impact population spreading speed. Introducing mutations can increase spread speed and landscape fragmentation effects, even with low mutation rates.

Keywords:
AdaptationExpansion speedHeterogeneityMutationReaction–diffusion

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Area of Science:

  • Ecology
  • Evolutionary Biology
  • Mathematical Biology

Background:

  • Population spreading dynamics are influenced by spatial heterogeneity and adaptive evolution.
  • Understanding these dynamics is crucial for agricultural pest management and epidemiology.

Purpose of the Study:

  • To investigate how spatial landscape heterogeneity interacts with adaptive evolution to affect population spreading speed.
  • To develop analytical methods for predicting persistence and spread in heterogeneous environments.

Main Methods:

  • Utilized reaction-diffusion models for analyzing spatially periodic environments with two distinct patches.
  • Developed new formulas for calculating speed and persistence criteria.
  • Accounted for environmental variation rates and mutation rates between population morphs.

Main Results:

  • Mutations to a second, reverse-specialized morph can significantly increase spreading speed, even at low rates.
  • While mutations can impede persistence, they enhance spatial fragmentation effects.
  • Landscape structure plays a critical role in adaptation-driven population dynamics.

Conclusions:

  • Spatial heterogeneity and adaptive evolution are key drivers of population spread.
  • Mutations can paradoxically accelerate spread while hindering persistence.
  • Landscape management strategies are vital for controlling disease and pest outbreaks.