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Related Experiment Videos

Neutral and adaptive variation in gene expression.

Andrew Whitehead1, Douglas L Crawford

  • 1Department of Biological Sciences, Louisiana State University, 202 Life Sciences Building, Baton Rouge, LA 70803, USA. andreww@lsu.edu

Proceedings of the National Academy of Sciences of the United States of America
|March 29, 2006
PubMed
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Gene expression variation in Fundulus heteroclitus populations reveals adaptation to temperature. Natural selection drives significant changes in metabolic genes, exceeding neutral evolution predictions.

Area of Science:

  • Evolutionary biology
  • Genomics
  • Environmental science

Background:

  • Gene expression variation is influenced by neutral changes and natural selection.
  • Understanding these variations is crucial for biological and medical sciences.
  • Accounting for genetic relatedness helps identify selection-driven expression patterns.

Purpose of the Study:

  • To identify genes evolving under natural selection.
  • To analyze gene expression variation in relation to ecological parameters.
  • To investigate adaptation in Fundulus heteroclitus populations along a thermal gradient.

Main Methods:

  • Allocating population variation to genetic distance.
  • Examining remaining variation against temperature.

Related Experiment Videos

  • Measuring metabolic gene expression in common-gardened Fundulus heteroclitus populations.

    • Main Results:

    • 22% of genes showed expression variation significantly linked to habitat temperature, exceeding neutral drift expectations.
    • Patterns of variation for many metabolic genes were incongruent with neutral evolution.
    • These findings suggest natural selection is a key driver of gene expression evolution.

    Conclusions:

    • Natural selection is the most parsimonious explanation for observed gene expression variation related to temperature.
    • Deviations from neutral evolution in metabolic genes may indicate important physiological or ecological functions.
    • This study provides a framework for analyzing adaptive evolution in gene expression.