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Deciphering the Underlying Metabolomic and Lipidomic Patterns Linked to Thermal Acclimation in Saccharomyces cerevisiae

AutorPuig-Castellví, Francesc; Bedia, Carmen; Alfonso, Ignacio; Piña, Benjamin; Tauler, Romà
Palabras claveLipid
LC-MS
MCR-ALS
NMR
Temperature
Yeast
Fecha de publicación30-abr-2018
EditorAmerican Chemical Society
CitaciónJournal of Proteome Research 17 (6): 2034-2044 (2018)
ResumenTemperature is one of the most critical parameters for yeast growth, and it has deep consequences in many industrial processes where yeast is involved. Nevertheless, the metabolic changes required to accommodate yeast cells at high or low temperatures are still poorly understood. In this work, the ultimate responses of these induced transcriptomic effects have been examined using metabolomics-derived strategies. The yeast metabolome and lipidome have been characterized by 1D proton nuclear magnetic resonance spectroscopy and ultra-high-performance liquid chromatography-mass spectrometry at four temperatures, corresponding to low, optimal, high, and extreme thermal conditions. The underlying pathways that drive the acclimation response of yeast to these nonoptimal temperatures were evaluated using multivariate curve resolution-alternating least-squares. The analysis revealed three different thermal profiles (cold, optimal, and high temperature), which include changes in the lipid composition, secondary metabolic pathways, and energy metabolism, and we propose that they reflect the acclimation strategy of yeast cells to low and high temperatures. The data suggest that yeast adjusts membrane fluidity by changing the relative proportions of the different lipid families (acylglycerides, phospholipids, and ceramides, among others) rather than modifying the average length and unsaturation levels of the corresponding fatty acids. © 2018 American Chemical Society.
Versión del editor10.1021/acs.jproteome.7b00921
URIhttp://hdl.handle.net/10261/168032
DOI10.1021/acs.jproteome.7b00921
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