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.
Project description:To characterize the ecological interactions among S. cerevisiae strains coming from the same geographical area, we examined the fitness of two natural isolates from San Giovese grapes, alone or in competition, in synthetic wine must (SWM). We performed genome-wide analyses in order to identify the genes involved in yeast competition and cooperation.
Project description:To characterize the ecological interactions among S. cerevisiae strains coming from the same geographical area, we examined the fitness of two natural isolates from San Giovese grapes, alone or in competition, in synthetic wine must (SWM). We performed genome-wide analyses in order to identify the genes involved in yeast competition and cooperation.
Project description:This work was designed to identify yeast cellular functions specifically affected by the stress factors predominating during the first stages of wine fermentation and genes required for optimal growth under these conditions. The main experimental method used was quantitative fitness analysis by means of competition experiments of whole genome barcoded yeast knock-out collections in continuous culture. This methodology allowed the identification of haploinsufficient genes and homozygous deletions resulting in growth impairment in synthetic must. However, genes identified as haploproficient or homozygous deletions resulting in fitness advantage were of little predictive power concerning optimal growth in this medium. The relevance of these functions for enological performance of yeast was assessed in batch cultures with single strains. Previous studies addressing yeast adaptation to winemaking conditions by quantitative fitness analysis, were not specifically focused on the proliferative stages, and their results were greatly dependent on the effects of gene deletions on yeast survival during stationary phase. Since biomass production has a great influence on the whole fermentation kinetics, focusing on the proliferative stages of the fermentation process has practical implications. In some instances our results highlight the importance of genes not previously linked to winemaking. In other cases our results are complementary to those reported in previous studies concerning, for example, the relevance of some genes involved in vacuolar, peroxisomal, or ribosomal functions. Transport processes and glucose signaling seem to be negatively affected by the stress factors encountered by yeast in synthetic must. Vacuolar activity is important for continued growth during the transition to stationary phase. Finally, reduced biogenesis of peroxisomes also seems to be advantageous. However, in contrast to what was described for later stages, reduced protein synthesis is not advantageous for the first stages of the fermentation, when most cell proliferation takes place.
Project description:Population adaptation to strong selection can occur through the sequential or parallel accumulation of competing beneficial mutations. The dynamics, diversity and rate of fixation of beneficial mutations within and between populations are still poorly understood. To study the changes in the mutational landscape across populations during adaptation, we performed experimental evolutions on seven parallel populations of Saccharomyces cerevisiae continuously cultured in limiting sulfate medium. By combining qPCR, array CGH, restriction, digestion and CHEF gels, and whole genome sequencing, we followed the trajectory of evolution to determine the identity and fate of beneficial mutations. Over a period of 200 generations, the yeast populations displayed parallel evolutionary dynamics that are driven by the coexistence of independent beneficial mutations. Segmental amplifications are rapidly gained under this selective pressure, including, common inverted amplifications containing the sulfate transporter gene SUL1. Detailed analysis of the populations uncovers a deep complexity where by multiple subpopulations arise and compete with each another. The most common trajectories to adaptation in these populations are incomplete soft sweeps, with adaptive variants replacing one another. These are CGH arrays. Each experiment compares the DNA content of an experimentally evolved strain with its ancestor.
Project description:Population adaptation to strong selection can occur through the sequential or parallel accumulation of competing beneficial mutations. The dynamics, diversity and rate of fixation of beneficial mutations within and between populations are still poorly understood. To study how the mutational landscape varies across populations during adaptation, we performed experimental evolution on seven parallel populations of Saccharomyces cerevisiae continuously cultured in limiting sulfate medium. By combining qPCR, array CGH, restriction digestion and CHEF gels, and whole genome sequencing, we followed the trajectory of evolution to determine the identity and fate of beneficial mutations. Over a period of 200 generations, the yeast populations displayed parallel evolutionary dynamics that are driven by the coexistence of independent beneficial mutations. Selective amplifications rapidly evolve under this selection pressure, in particular common inverted amplifications containing the sulfate transporter gene SUL1. Compared to single clones, detailed analysis of the populations uncovers a greater complexity whereby multiple subpopulations arise and compete despite a strong selection. The most common evolutionary adaptation to strong selection in these populations grown in sulfate limitation is determined by clonal interference, with adaptive variants both persisting and replacing one another.