| DS Description
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Raw metabolome data were analyzed using th … Raw metabolome data were analyzed using the proprietary software MasterHands. In brief, peaks were detected from sliced electropherograms (0.02 m/z width), and the accurate m/z value for each peak was calculated by Gaussian curve fitting. Migration times of the peaks were normalized by a dynamic time-warping method: numerical parameters were optimized using the simplex method and matching peaks across multiple data sets by dynamic programming. Peaks were picked and aligned using this software. Metabolites in the standard compounds were assigned to the remaining features by matching their m/z values and normalized migration times using the software described above.<br />
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Data analysis<br />
For normalization, the area of the peak from the CE-MS analysis was divided by the area of the internal standard peak. The relative peak areas were used for comparing the metabolite levels between F and FD samples. For principal component analysis (PCA), the relative areas of ionic metabolites and the amounts of plant hormones were standardized by subtracting the mean amount of metabolite (from a sequence of experiments) from the calculated amount for each sample. The resulting value was divided by the standard deviation of each metabolite (z-score). PCA was processed with the software DrDMASS1 (http://kanaya.naist.jp/DrDMASSplus/). SS1 (http://kanaya.naist.jp/DrDMASSplus/).
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