title: Spatio-Temporal Metabolite Profiling of the Barley Germination Process by MALDI MS Imaging.
abstract: MALDI mass spectrometry imaging was performed to localize metabolites during the first seven days of the barley germination. Up to 100 mass signals were detected of which 85 signals were identified as 48 different metabolites with highly tissue-specific localizations. Oligosaccharides were observed in the endosperm and in parts of the developed embryo. Lipids in the endosperm co-localized in dependency on their fatty acid compositions with changes in the distributions of diacyl phosphatidylcholines during germination. 26 potentially antifungal hordatines were detected in the embryo with tissue-specific localizations of their glycosylated, hydroxylated, and O-methylated derivates. In order to reveal spatio-temporal patterns in local metabolite compositions, multiple MSI data sets from a time series were analyzed in one batch. This requires a new preprocessing strategy to achieve comparability between data sets as well as a new strategy for unsupervised clustering. The resulting spatial segmentation for each time point sample is visualized in an interactive cluster map and enables simultaneous interactive exploration of all time points. Using this new analysis approach and visualization tool germination-dependent developments of metabolite patterns with single MS position accuracy were discovered. This is the first study that presents metabolite profiling of a cereals' germination process over time by MALDI MSI with the identification of a large number of peaks of agronomically and industrially important compounds such as oligosaccharides, lipids and antifungal agents. Their detailed localization as well as the MS cluster analyses for on-tissue metabolite profile mapping revealed important information for the understanding of the germination process, which is of high scientific interest.
authors.affiliation: Proteome and Metabolome Research, Faculty of Biology, Center for Biotechnology (CeBiTec), Bielefeld, Germany.
authors.forename: Karin
authors.initials: K
authors.lastname: Gorzolka
authors.affiliation: Biodata Mining, Faculty of Technology, Center for Biotechnology (CeBiTec), Bielefeld, Germany.|International Research Training Group "Computational Methods for the Analysis of the Diversity and Dynamics of Genomes", Bielefeld University, Bielefeld, Germany.
authors.forename: Jan
authors.initials: J
authors.lastname: Kölling
authors.affiliation: Biodata Mining, Faculty of Technology, Center for Biotechnology (CeBiTec), Bielefeld, Germany.
authors.forename: Tim W
authors.initials: TW
authors.lastname: Nattkemper
authors.affiliation: Proteome and Metabolome Research, Faculty of Biology, Center for Biotechnology (CeBiTec), Bielefeld, Germany.
authors.forename: Karsten
authors.initials: K
authors.lastname: Niehaus
mesh_terms: D000935:Antifungal Agents / Q000378:metabolism; D016000:Cluster Analysis; D019295:Computational Biology; D056625:Endosperm / Q000378:metabolism; D018525:Germination; D001467:Hordeum / Q000378:metabolism*; D008055:Lipids / Q000737:chemistry; D009844:Oligosaccharides / Q000378:metabolism; D010713:Phosphatidylcholines / Q000378:metabolism; D010940:Plant Proteins / Q000378:metabolism*; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
chemical_list: D000935:Antifungal Agents; D008055:Lipids; D009844:Oligosaccharides; D010713:Phosphatidylcholines; D010940:Plant Proteins