SE134:/DS2

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Sample Set Information

ID	SE134
Title	Unbiased profiling of volatile organic compounds in the headspace of Allium plants using an in-tube extraction device.
Description	Plants produce and emit important volatile organic compounds (VOCs), which have an essential role in biotic and abiotic stress responses and in plant–plant and plant–insect interactions. In order to study the bouquets from plants qualitatively and quantitatively, a comprehensive, analytical method yielding reproducible results is required. We applied in-tube extraction (ITEX) and solid-phase microextraction (SPME) for studying the emissions of Allium plants. The collected HS samples were analyzed by gas chromatography–time-of-flight–mass spectrometry (GC-TOF–MS), and the results were subjected to multivariate analysis. In case of ITEX-method Allium cultivars released more than 300 VOCs, out of which we provisionally identified 50 volatiles. We also used the VOC profiles of Allium samples to discriminate among groups of A. fistulosum, A. chinense (rakkyo), and A. tuberosum (Oriental garlic). As we found 12 metabolite peaks including dipropyl disulphide with significant changes in A. chinense and A. tuberosum when compared to the control cultivar, these metabolite peaks can be used for chemotaxonomic classification of A. chinense, tuberosum, and A. fistulosum.
Authors	Kusano M, Kobayashi M, Iizuka Y, Fukushima A, Saito K.
Reference	BMC Res Notes. 2016 Feb 29;9:133. doi: 10.1186/s13104-016-1942-5.
Comment

ID	DS2
Title	Statistical analysis
Description	Multivariate analysis was performed with SIMCA-P + 12.0 software (Umetrics AB, Umeå, Sweden). For our analysis, profile data were log10-transformed, centered, and scaled to unit variance. Log2-transformed profile data were statistically analyzed using the LIMMA package. It includes FDR correction for multiple testing in the R environment for statistical computing (version 2.14.1 for 64-bit).
Comment_of_details