The ROS Wheel: Refining ROS Transcriptional Footprints
Patrick Willems1, Amna Mhamdi1, Simon Stael1
1Department of Plant Systems Biology, VIB, 9052 Ghent, Belgium (P.W., A.M., S.S., V.S., P.K., F.V.B.);Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium (P.W., A.M., S.S., V.S., P.K., F.V.B.);Medical Biotechnology Center, VIB, 9000 Ghent, Belgium (P.W., S.S., K.G.);Department of Biochemistry, Ghent University, 9000 Ghent, Belgium (P.W., S.S., K.G.);Institut des Sciences des Plantes de Paris-Saclay, Unité Mixte de Recherche 8618, Centre National de la Recherche Scientifique, Université de Paris-Sud, 91405 Orsay cedex, France (A.M., G.N.); andUnité Mixte de Recherche 9213/Unité Mixte de Recherche 1403, Université Paris-Sud, Centre National de la Recherche Scientifique, Institut National de la Recherche Agronomique, Université d'Evry, Université Paris-Diderot, Sorbonne Paris-Cité, 91405 Orsay, France (A.M., G.N.).
Abstract:
In the last decade, microarray studies have delivered extensive inventories of transcriptome-wide changes in messenger RNA levels provoked by various types of oxidative stress in Arabidopsis (Arabidopsis thaliana). Previous cross-study comparisons indicated how different types of reactive oxygen species (ROS) and their subcellular accumulation sites are able to reshape the transcriptome in specific manners. However, these analyses often employed simplistic statistical frameworks that are not compatible with large-scale analyses. Here, we reanalyzed a total of 79 Affymetrix ATH1 microarray studies of redox homeostasis perturbation experiments. To create hierarchy in such a high number of transcriptomic data sets, all transcriptional profiles were clustered on the overlap extent of their differentially expressed transcripts. Subsequently, meta-analysis determined a single magnitude of differential expression across studies and identified common transcriptional footprints per cluster. The resulting transcriptional footprints revealed the regulation of various metabolic pathways and gene families. The RESPIRATORY BURST OXIDASE HOMOLOG F-mediated respiratory burst had a major impact and was a converging point among several studies. Conversely, the timing of the oxidative stress response was a determining factor in shaping different transcriptome footprints. Our study emphasizes the need to interpret transcriptomic data sets in a systematic context, where initial, specific stress triggers can converge to common, aspecific transcriptional changes. We believe that these refined transcriptional footprints provide a valuable resource for assessing the involvement of ROS in biological processes in plants.
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