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Sample Set Information

Title Comparison of tomato fruit metabolites among fruit maturation
Description Investigation of Tomato fruits metabolites. 2 cultivers, 4 deveropmental stages and 3 replicates data are examined.
Authors Takeshi Ara 1, Shingo Takahashi 1,3, Naoko Waki 1,3, Nozomu Sakurai 2, Haruya Takahashi 1, Shinsuke Mohri 1, Kunihiro Suda 2, Keishi Ozawa 2, Koichi Aizawa 3, Hiroyuki Suganuma 3, Yasuki Matsumura 1, Teruo Kawada 1, Daisuke Shibata 1, 2, 1:Graduate School of Agriculture, Kyoto University, Japan, 2:Kazusa DNA Research Institute, Japan, 3:KAGOME CO., LTD., Japan
Reference Ara T. et al. (2017) Acta Horticulturae 1159: 101-106.
Comment version 1

Link icon database.png Link icon pgdbj.png

The web resources and information related to the species used in this study are available at Plant Genome Database Japan (PGDBj).

Annotation Method Details Information

Title PowerGet annotation
Description In annotation process, KEGG, KNApSAcK and LipidMAPS are used for primary database search. Peaks with no hit to these databases are then selected to secondary search using EX-HR2 ( databases. After the database search processes, each database hits are manually checked to assign a compound name or compound category name (alkaloids, aminocarboxylic acids, carotenoids, coumarins, fatty acid derivatives, flavonoids, glycolipids, iridoids, nucleotides, organic acids, phenolics, porphyrins, phospholipids, steroids, sugars, terpenoids and others). In case of no compound name or chemical category name can assign, predicted molecular formulas are used for the annotation. MS/MS patterns was used to suggest functional groups attached to the compounds such as -OH, -COOH, -NH2, -C6H12O6. MassBank ( and MS-MS Fragment Viewer ( are used for annotation and identification of the compounds.

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