title: Genome-Wide Transcriptional Profiling and Metabolic Analysis Uncover Multiple Molecular Responses of the Grass Species Lolium perenne Under Low-Intensity Xenobiotic Stress.
abstract: Lolium perenne, which is a major component of pastures, lawns, and grass strips, can be exposed to xenobiotic stresses due to diffuse and residual contaminations of soil. L. perenne was recently shown to undergo metabolic adjustments in response to sub-toxic levels of xenobiotics. To gain insight in such chemical stress responses, a de novo transcriptome analysis was carried out on leaves from plants subjected at the root level to low levels of xenobiotics, glyphosate, tebuconazole, and a combination of the two, leading to no adverse physiological effect. Chemical treatments influenced significantly the relative proportions of functional categories and of transcripts related to carbohydrate processes, to signaling, to protein-kinase cascades, such as Serine/Threonine-protein kinases, to transcriptional regulations, to responses to abiotic or biotic stimuli and to responses to phytohormones. Transcriptomics-based expressions of genes encoding different types of SNF1 (sucrose non-fermenting 1)-related kinases involved in sugar and stress signaling or encoding key metabolic enzymes were in line with specific qRT-PCR analysis or with the important metabolic and regulatory changes revealed by metabolomic analysis. The effects of pesticide treatments on metabolites and gene expression strongly suggest that pesticides at low levels, as single molecule or as mixture, affect cell signaling and functioning even in the absence of major physiological impact. This global analysis of L. perenne therefore highlighted the interactions between molecular regulation of responses to xenobiotics, and also carbohydrate dynamics, energy dysfunction, phytohormones and calcium signaling.
authors.affiliation: Centre National de la Recherche Scientifique, Université de Rennes 1, UMR 6553 ECOBIO Rennes, France.
authors.forename: Anne-Antonella
authors.initials: AA
authors.lastname: Serra
authors.affiliation: Centre National de la Recherche Scientifique, Université de Rennes 1, UMR 6553 ECOBIO Rennes, France.
authors.forename: Ivan
authors.initials: I
authors.lastname: Couée
authors.affiliation: Centre National de la Recherche Scientifique, Université de Rennes 1, UMR 6553 ECOBIO Rennes, France.
authors.forename: David
authors.initials: D
authors.lastname: Heijnen
authors.affiliation: Centre National de la Recherche Scientifique, Université de Rennes 1, UMS 3343 OSUR Rennes, France.
authors.forename: Sophie
authors.initials: S
authors.lastname: Michon-Coudouel
authors.affiliation: Centre National de la Recherche Scientifique, Université de Rennes 1, UMR 6553 ECOBIO Rennes, France.
authors.forename: Cécile
authors.initials: C
authors.lastname: Sulmon
authors.affiliation: Centre National de la Recherche Scientifique, Université de Rennes 1, UMR 6553 ECOBIO Rennes, France.
authors.forename: Gwenola
authors.initials: G
authors.lastname: Gouesbet
keywords: RNA-Seq; SnRKs; glyphosate; no observable adverse effect; perennial ryegrass; residual pollution; tebuconazole