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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).Mechanisms of Genetic VariationThe original sources of genetic variation are mutations,...
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Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
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Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

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Demographic and genetic constraints on evolution.

Richard Gomulkiewicz1, David Houle

  • 1School of Biological Sciences and Department of Mathematics, Washington State University, Pullman, Washington 99164, USA. gomulki@wsu.edu

The American Naturalist
|October 14, 2009
PubMed
Summary
This summary is machine-generated.

Genetic constraints can lead to population extinction. This study provides criteria to predict when demographic factors turn quantitative genetic constraints into absolute ones, effectively limiting adaptive evolution.

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Area of Science:

  • Evolutionary biology
  • Population genetics
  • Demography

Background:

  • Populations face genetic constraints when additive genetic variance is absent (absolute) or low (quantitative).
  • Quantitative constraints are typically considered surmountable over time.
  • Demographic factors can exacerbate genetic constraints, potentially leading to extinction.

Purpose of the Study:

  • To derive criteria for predicting when demographic factors convert quantitative genetic constraints into absolute constraints.
  • To analyze the interplay between population demography and adaptive evolution under different selection scenarios.
  • To establish conditions under which populations can avoid extinction and achieve long-term growth.

Main Methods:

  • Modeling the demography and evolution of populations under optimizing selection with single or constant shifts in the optimum.
  • Analyzing population dynamics, including temporary declines and avoidance of extinction risk.
  • Deriving formulas for critical levels of genetic variability that signify demography-caused absolute constraints.

Main Results:

  • Developed criteria to predict the conversion of quantitative to absolute genetic constraints by demographic factors.
  • Identified conditions for population persistence and long-term growth in changing environments.
  • Formulated equations for critical genetic variability based on fitness, population size, and environmental change rates.
  • Extended criteria to multivariate traits and the G matrix.

Conclusions:

  • Demographic processes can effectively create absolute genetic constraints, even when quantitative constraints are present.
  • The derived criteria offer a framework for assessing evolutionary potential and extinction risk.
  • Understanding these constraints is crucial for predicting a population's adaptive capacity in dynamic environments.