Abstracts (first author)
Characterization of expression quantitative trait loci (eQTL) associated with response to thermal stress in the threespine stickleback, Gasterosteus aculeatus
Ongoing climate change will expose populations to altered thermal regimens, which are likely to include more frequent and higher temperature maxima. Whether and how a resident population can withstand or adapt to these new conditions will depend on the genetic architecture underlying responses to temperature changes. This includes both coding genes and the regulatory regions that govern expression of these genes. Recent advances enabling the quantification of transcription levels for a large number of genes and the genotyping of many thousands of genetic markers throughout the genome, together with novel statistical methods, are facilitating the identification of such regulatory regions via expression quantitative trait locus (eQTL) analysis.
The threespine stickleback (Gasterosteus aculeatus) is an important model organism in evolutionary biology. The species occurs as resident populations in a wide range of habitats with different thermal profiles. We used sticklebacks derived from the Baltic coast of Finland to identify and localize eQTLs underlying changes in gene expression in response to thermal stress. Experimental subjects comprised 600 individuals in 30 sib–halfsib families, half of which were subject to a thermal challenge immediately prior to tissue collection. Liver mRNA expression was subsequently quantified using Agilent custom microarrays. Over 2000 genes were found to be differentially expressed between control and treatment groups. Genotyping of the families by sequencing on the Illumina platform, in combination with the existing G. aculeatus genome, was used to generate a linkage map that included over 10,000 SNPs. This enabled us to characterize and explore the regulatory networks underlying these changes in gene expression.