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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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Natural selection influences the frequencies of particular alleles and phenotypes within populations in several different ways. Primarily, natural selection can be directional, stabilizing, or disruptive. Directional selection favors one extreme trait and shifts the population towards that phenotype while selecting against individuals displaying alternate traits. Stabilizing selection favors an intermediate trait with a narrow range of variation. Deviation from the optimal phenotype towards an...
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Organisms that are well-adapted to their environment are more likely to survive and reproduce. However, natural selection does not lead to perfectly adapted organisms. Several factors constrain natural selection.
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Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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Response to selection while maximizing genetic variance in small populations.

Isabel Cervantes1, Juan Pablo Gutiérrez2, Theo H E Meuwissen3

  • 1Department of Animal Production, Faculty of Veterinary, Complutense University of Madrid, Avda. Puerta de Hierro s/n, 28040, Madrid, Spain. icervantes@vet.ucm.es.

Genetics, Selection, Evolution : GSE
|September 22, 2016
PubMed
Summary

Maximizing genetic variance with inbreeding restrictions enhances early selection response in rare breeds. Minimum coancestry offers a valuable long-term alternative for genetic management and adaptation.

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Area of Science:

  • Animal Genetics
  • Quantitative Genetics
  • Conservation Genetics

Background:

  • Rare breeds are genetically valuable but face low population numbers, threatening diversity.
  • Improving commercial traits can enhance breed survival and adaptation.
  • Efficient genetic management is crucial for rare breeds to respond to artificial selection.

Purpose of the Study:

  • To evaluate the impact of maximizing genetic variance on selection response.
  • To assess the potential for improved adaptation to new environments through genetic management.
  • To compare different genetic management scenarios for rare breeds.

Main Methods:

  • Simulated six genetic management scenarios over 100 generations.
  • Included random, full-sib, maximum genetic variance (MVT), and minimum coancestry scenarios.
  • Monitored effective population size and selection response across simulations.

Main Results:

  • Maximum variance total (MVT) and full-sib scenarios showed the highest selection response but were impractical.
  • MVT with individual inbreeding restrictions (Scenario E) provided a strong early selection response.
  • Minimum coancestry (Scenario F) offered a slightly higher long-term selection response than Scenario E.

Conclusions:

  • Restricting individual inbreeding during MVT maximizes early selection response in rare breeds.
  • Minimum coancestry is a viable alternative for long-term genetic response, especially if inbreeding depression is a concern.