Data from: Cold-stress responses in the Antarctic basidiomycetous yeast Mrakia blollopis

• Main Author: Tsuji, Masaharu
• Format: Other/Unknown Material
• Language: unknown
• Published: Zenodo 2016
• Subjects: metabolite response; cold stress; basidiomycetous yeast; Mrakia blollopis; CE-TOFMS; Antarc*; Antarctic
• Online Access: https://doi.org/10.5061/dryad.h5v25

Microbes growing at subzero temperatures encounter numerous growth constraints. However, fungi that inhabit cold environments can grow and decompose organic compounds under subzero temperatures. Thus, understanding the cold-adaptation strategies of fungi under extreme environments is critical for elucidating polar-region ecosystems. Here, I report that two strains of the Antarctic basidiomycetous yeast Mrakia blollopis exhibited distinct growth characteristics under subzero conditions: SK-4 grew efficiently, whereas TKG1-2 did not. I analysed the metabolite responses elicited by cold stress in these two M. blollopis strains by using capillary electrophoresis–time-of-flight mass spectrometry. M. blollopis SK-4, which grew well under subzero temperatures, accumulated high levels of TCA-cycle metabolites, lactic acid, aromatic amino acids and polyamines in response to cold shock. Polyamines are recognized to function in cell-growth and developmental processes, and aromatic amino acids are also known to improve cell growth at low temperatures. By contrast, in TKG1-2, which did not grow efficiently, cold stress strongly induced the metabolites of the TCA cycle, but other metabolites were not highly accumulated in the cell. Thus, these differences in metabolite responses could contribute to the distinct abilities of SK-4 and TKG1-2 cells to grow under subzero temperature conditions. Concentration of targeted metabolites data_M. Tsuji In the CE-TOFMS analysis, 219 metabolites (115 cationic, 104 anionic) were detected. Moreover, 88 metabolites, which included amino acids, organic acids, sugar phosphates, and nucleotides, were quantified using external standards and targeted metabolite analysis. MS data set_M. Tsuji.xlsx