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Adaptation from standing genetic variation.

Rowan D H Barrett1, Dolph Schluter

  • 1Department of Zoology and Biodiversity Research Centre, University of British Columbia, 6270 University Blvd, Vancouver, BC V6T 1Z4, Canada. rbarrett@zoology.ubc.ca <rbarrett@zoology.ubc.ca>

Trends in Ecology & Evolution
|November 17, 2007
PubMed
Summary
This summary is machine-generated.

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Populations adapt using existing genetic variation or new mutations, influencing evolutionary speed and outcomes. Distinguishing these sources via genomic signatures aids in predicting responses to environmental changes.

Area of Science:

  • Evolutionary biology
  • Population genetics

Background:

  • Populations adapt to new environments through selection on pre-existing genetic variation or new mutations.
  • These distinct sources of beneficial alleles drive different evolutionary dynamics and genetic outcomes.

Purpose of the Study:

  • To review methods for distinguishing adaptation from standing genetic variation versus new mutations.
  • To explore examples of adaptation from standing variation in natural populations.
  • To understand how the source of genetic variation impacts evolutionary adaptation.

Main Methods:

  • Review of existing literature on adaptation mechanisms.
  • Analysis of genomic signatures of selection.
  • Case study examination of natural populations.

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Main Results:

  • Adaptation from standing genetic variation is generally faster than from new mutations.
  • Adaptation from standing variation may lead to fixation of more alleles with small effects and a higher prevalence of recessive alleles.
  • Genomic signatures of selection can differ between these two modes of adaptation.

Conclusions:

  • Understanding the source of genetic variation is crucial for predicting population adaptation to environmental change.
  • Distinguishing between adaptation from standing variation and new mutations provides insights into evolutionary trajectories.
  • Further research into genomic signatures can clarify adaptation mechanisms in natural populations.