title: Comprehensive transcriptional analysis of the oxidative response in yeast.
abstract: The oxidative stress response in Saccharomyces cerevisiae has been analyzed by parallel determination of mRNA levels and transcription rates for the entire genome. A mathematical algorithm has been adapted for a dynamic situation such as the response to stress, to calculate theoretical mRNA decay rates from the experimental data. Yeast genes have been grouped into 25 clusters according to mRNA level and transcription rate kinetics, and average mRNA decay rates have been calculated for each cluster. In most of the genes, changes in one or both experimentally determined parameters occur during the stress response. 24% of the genes are transcriptionally induced without an increase in mRNA levels. The lack of parallelism between the evolution of the mRNA amount and transcription rate predicts changes in mRNA stability during stress. Genes for ribosomal proteins and rRNA processing enzymes are abundant among those whose mRNAs are predicted to destabilize. The number of genes whose mRNAs are predicted to stabilize is lower, although some protein folding or proteasomal genes are among the latter. We have confirmed the mathematical predictions for several genes pertaining to different clusters by experimentally determining mRNA decay rates using the regulatable tetO promoter in transcriptional expression conditions not affected by the oxidative stress. This study indicates that the oxidative stress response in yeast cells is not only conditioned by gene transcription but also by the mRNA decay dynamics and that this complex response may be particularly relevant to explain the temporary down-regulation of protein synthesis occurring during stress.
authors.affiliation: Departament de Ciències Mèdiques Bàsiques and IRBLleida, Universitat de Lleida, Montserrat Roig 2, Lleida, Spain.
authors.forename: María Micaela
authors.initials: MM
authors.lastname: Molina-Navarro
authors.forename: Laia
authors.initials: L
authors.lastname: Castells-Roca
authors.forename: Gemma
authors.initials: G
authors.lastname: Bellí
authors.forename: José
authors.initials: J
authors.lastname: García-Martínez
authors.forename: Julia
authors.initials: J
authors.lastname: Marín-Navarro
authors.forename: Joaquín
authors.initials: J
authors.lastname: Moreno
authors.forename: José E
authors.initials: JE
authors.lastname: Pérez-Ortín
authors.forename: Enrique
authors.initials: E
authors.lastname: Herrero
mesh_terms: D016000:Cluster Analysis; D019143:Evolution, Molecular; D005656:Fungal Proteins / Q000378:metabolism*; D015966:Gene Expression Regulation, Fungal; D007700:Kinetics; D008954:Models, Biological; D008956:Models, Chemical; D018384:Oxidative Stress; D010100:Oxygen / Q000378:metabolism*; D012313:RNA / Q000378:metabolism; D012333:RNA, Messenger / Q000378:metabolism; D012270:Ribosomes / Q000378:metabolism; D012441:Saccharomyces cerevisiae / Q000378:metabolism / Q000502:physiology*; D013997:Time Factors; D014158:Transcription, Genetic
chemical_list: D005656:Fungal Proteins; D012333:RNA, Messenger; D012313:RNA; D010100:Oxygen