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Sample Set Information

ID TSE1308
Title Landscape of the lipidome and transcriptome under heat stress in Arabidopsis thaliana.
Description Environmental stress causes membrane damage in plants. Lipid studies are required to understand the adaptation of plants to climate change. Here, LC-MS-based lipidomic and microarray transcriptome analyses were carried out to elucidate the effect of short-term heat stress on the Arabidopsis thaliana leaf membrane. Vegetative plants were subjected to high temperatures for one day, and then grown under normal conditions. Sixty-six detected glycerolipid species were classified according to patterns of compositional change by Spearman’s correlation coefficient. Triacylglycerols, 36:4- and 36:5-monogalactosyldiacylglycerol, 34:2- and 36:2-digalactosyldiacylglycerol, 34:1-, 36:1- and 36:6-phosphatidylcholine, and 34:1-phosphatidylethanolamine increased by the stress and immediately decreased during recovery. The relative amount of one triacylglycerol species (54:9) containing α-linolenic acid (18:3) increased under heat stress. These results suggest that heat stress in Arabidopsis leaves induces an increase in triacylglycerol levels, which functions as an intermediate of lipid turnover, and results in a decrease in membrane polyunsaturated fatty acids. Microarray data revealed candidate genes responsible for the observed metabolic changes.
Authors Higashi Y, Okazaki Y, Myouga F, Shinozaki K, Saito K.
Reference Sci Rep. 2015 May 27;5:10533. doi: 10.1038/srep10533.

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Data Analysis Details Information

Title Data processing and analisys
Description Levels of individual lipid species in every sample preparation were normalised to the sum of peak areas of lipid species within the same lipid class in samples grown at 38 °C for one day (1d38C). The scaled levels of the 66 lipid species, which were detected under the all conditions and ecotypes, were calculated to show overview as a heat map, where levels of individual lipid species were subtracted by the mean of values of the lipid species among the 77 samples, then divided by the standard deviations for values of the lipid species among the 77 samples as described in Vu et al.27. Spearman’s correlation coefficients were calculated among 12 variables, which were expressed as the average of each condition (22 °C control (1d22C and 1d22C+2d22C), 30 °C for one day (1d30C), 34 °C for one day (1d34C), 1d38C, 38 °C for one day then 22 °C for one day (1d38C+1d22C), and 38 °C for one day then 22 °C for 2 days (1d38C+2d22C)) for each ecotype (Col-0 (C) and Nossen (N)). Hierarchical clustering of the lipid species was conducted by the complete linkage method based on Euclidean distance (k = 10) by the software R. A heat map was constructed to depict the log2 of the ratio of the average of each stress condition to that of the 22 °C control. Significant differences in individual values were investigated by Welch’s t test (two-sided).

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