One of the major goals of quantitative genetics is to unravel the complex interactions between molecular genetic factors and the environment. The effects of these genotype-by-environment interactions also affect and cause variation in gene expression. The regulatory loci responsible for this variation can be found by genetical genomics that involves the mapping of quantitative trait loci (QTLs) for gene expression traits also called expression-QTL (eQTLs). Most genetical genomics experiments published so far, are performed in a single environment and hence do not allow investigation of the role of genotype-by-environment interactions. Furthermore, most studies have been done in a steady state environment leading to acclimated expression patterns. However a response to the environment or change therein can be highly plastic and possibly lead to more and larger differences between genotypes. Here we present a genetical genomics study on 120 Arabidopsis thaliana, Landsberg erecta × Cape Verde Islands, recombinant inbred lines (RILs) in active response to the environment by treating them with 3 h of shade. The results of this experiment are compared to a previous study on seedlings of the same RILs from a steady state environment. The combination of two highly different conditions but exactly the same RILs with a fixed genetic variation showed the large role of genotype-by-environment interactions on gene expression levels. We found environment-dependent hotspots of transcript regulation. The major hotspot was confirmed by the expression profile of a near isogenic line. Our combined analysis leads us to propose CSN5A, a COP9 signalosome component, as a candidate regulator for the gene expression response to shade.

Here, we report on the identification of Arabidopsis genes that are induced during compatible but not during incompatible interactions with the downy mildew pathogen Hyaloperonospora arabidopsidis. This set of so-called compatible specific (CS) genes contrasts with the large group of defense-associated genes that is differentially expressed during both compatible and incompatible interactions. From the 17 identified CS genes, 6 belong to the ethylene response factor (ERF) family of transcription factor genes, suggesting that these ERF have a role during compatibility. The majority of CS genes are differentially regulated in response to various forms of abiotic stress. In silico analysis of the CS genes revealed an over-representation of dehydration-responsive element/C-repeat binding factor (DREB1A/ CBF3) binding sites and EveningElement motifs in their promoter regions. The CS-ERF are closely related to the CBF transcription factors and could potentially bind the DREB1A/CBF3 promoter elements in the CS genes. Transcript levels of CS genes peak at 2 to 3 days postinoculation, when pathogen growth is highest, and decline at later stages of infection. The induction of several CS genes was found to be isolate specific. This suggests that the identified CS genes could be the direct or indirect targets of downy mildew effector proteins that promote disease susceptibility.