High-dimensional variance partitioning reveals the modular genetic basis of adaptive divergence in gene expression during reproductive character displacement

Evolution. 2011 Nov;65(11):3126-37. doi: 10.1111/j.1558-5646.2011.01371.x. Epub 2011 Jun 27.


Although adaptive change is usually associated with complex changes in phenotype, few genetic investigations have been conducted on adaptations that involve sets of high-dimensional traits. Microarrays have supplied high-dimensional descriptions of gene expression, and phenotypic change resulting from adaptation often results in large-scale changes in gene expression. We demonstrate how genetic analysis of large-scale changes in gene expression generated during adaptation can be accomplished by determining high-dimensional variance partitioning within classical genetic experimental designs. A microarray experiment conducted on a panel of recombinant inbred lines (RILs) generated from two populations of Drosophila serrata that have diverged in response to natural selection, revealed genetic divergence in 10.6% of 3762 gene products examined. Over 97% of the genetic divergence in transcript abundance was explained by only 12 genetic modules. The two most important modules, explaining 50% of the genetic variance in transcript abundance, were genetically correlated with the morphological traits that are known to be under selection. The expression of three candidate genes from these two important genetic modules was assessed in an independent experiment using qRT-PCR on 430 individuals from the panel of RILs, and confirmed the genetic association between transcript abundance and morphological traits under selection.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adaptation, Biological / genetics*
  • Adaptation, Biological / physiology
  • Analysis of Variance
  • Animals
  • Animals, Inbred Strains
  • Biological Evolution*
  • Drosophila / anatomy & histology
  • Drosophila / genetics*
  • Gene Expression Regulation / genetics*
  • Hydrocarbons / analysis
  • Linear Models
  • Microarray Analysis
  • Phenotype*
  • Real-Time Polymerase Chain Reaction
  • Selection, Genetic
  • Species Specificity


  • Hydrocarbons