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Detalle de: Glycerol stress in S accharomyces cerevisiae : Cellular responses and evolved adaptations

Title Glycerol stress in S accharomyces cerevisiae : Cellular responses and evolved adaptations
Abstract

Summary Glycerol synthesis is key to central metabolism and stress biology in Saccharomyces cerevisiae , yet the cellular adjustments needed to respond and adapt to glycerol stress are little understood. Here, we determined impacts of acute and chronic exposures to glycerol stress in S. cerevisiae . Glycerol stress can result from an increase of glycerol concentration in the medium due to the S. cerevisiae fermenting activity or other metabolic activities. Acute glycerol‐stress led to a 50% decline in growth rate and altered transcription of more than 40% of genes. The increased genetic diversity in S. cerevisiae population, which had evolved in the standard nutrient medium for hundreds of generations, led to an increase in growth rate and altered transcriptome when such population was transferred to stressful media containing a high concentration of glycerol; 0.41 M (0.990 water activity). Evolution of S. cerevisiae populations during a 10‐day period in the glycerol‐containing medium led to transcriptome changes and readjustments to improve control of glycerol flux across the membrane, regulation of cell cycle, and more robust stress response; and a remarkable increase of growth rate under glycerol stress. Most of the observed regulatory changes arose in duplicated genes. These findings elucidate the physiological mechanisms, which underlie glycerol‐stress response, and longer‐term adaptations, in S. cerevisiae ; they also have implications for enigmatic aspects of the ecology of this otherwise well‐characterized yeast.

Apa Reference Mattenberger, F., Sabater‐Muñoz, B., Hallsworth, J.E. & Fares, M.A. (2017). Glycerol stress in S accharomyces cerevisiae : Cellular responses and evolved adaptations. Environmental Microbiology, 19(3), 990-1007. 10.1111/1462-2920.13603
Doi 10.1111/1462-2920.13603
Publication Date 23 Jan 2017
Publication Type Article
Researcher Beatriz Sabater-Muñoz
Ontology Transcriptomics, Model organisms, Population genomics
Research Groups
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