Project description:This SuperSeries is composed of the following subset Series: GSE31220: Polysome-associated mRNA levels upon glucose repletion GSE31392: Timecourse of total and polysome-associated mRNA levels post glucose deprivation Refer to individual Series
Project description:The aim of this study was to determine how nitrogen repletion affected the genomic cell response of a Saccharomyces cerevisiae wine yeast strain, in particular within the first hour following relief from nutrient starvation. We found almost 4000 genes induced or repressed sometimes within minutes of nutrient changes. Some of the transcriptional responses to nitrogen depended on the TOR pathway which control positively ribosomal protein genes, amino acid and purine biosynthesis or amino acid permease genes and negatively stress-response genes, RTG specific TCA cycle genes and NCR sensitive genes. Some unexpected transcriptional responses concerned all the glycolytic genes, the starch and glucose metabolism and citrate cycle related genes which were down-regulated, as well as genes from the lipid metabolism.
Project description:Theory and experiment suggest that organisms would benefit from pre-adaptation to future stressors based on reproducible environmental fluctuations experienced by their ancestors. Yet mechanisms driving pre-adaptation remain enigmatic. We report that the [SMAUG+] prion allows yeast to anticipate nutrient repletion after periods of starvation, providing a strong selective advantage. By transforming the landscape of post-transcriptional gene expression, [SMAUG+] regulates the decision between two broad growth and survival strategies: mitotic proliferation or meiotic differentiation into a stress-resistant state. [SMAUG+] is common in laboratory yeast strains, where standard propagation practice produces regular cycles of nutrient scarcity followed by repletion. Distinct [SMAUG+] variants are also widespread in wild yeast isolates from multiple niches, establishing that prion polymorphs can be utilized in natural populations. Our data provide a striking example of how protein-based epigenetic switches, hidden in plain sight, can establish a transgenerational memory that integrates adaptive prediction into developmental decisions.
