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- W46374673 abstract "Metabolic profiling enables to understand biological processes responsible for differences in the content of metabolites among samples, such as healthy/diseased organisms, treated/control cultures, mutant/wild type genotypes, or different cultivars. In this work experimental procedures and data processing routines for non-targeted differential metabolic profiling based on LC-MS were developed and applied to different kinds of comparative experiments in plant systems. A major task was the assessment and adjustment of software tools for unbiased data processing which consists of raw data conversion into a universal format, noise reduction, chromatogram alignment, peak matching, normalization of signal intensities and comparative analysis. The open-source method XCMS is included for retention time alignment and peak matching across samples. An algorithm for normalization of signal intensities based on a method previously developed for transcript profiling was implemented. The applicability of the procedure is demonstrated on a plant-pathogen interaction: 19 metabolites in xylem sap of Brassica napus affected by the infection with vascular fungus Verticillium longisporum were detected. Two of the metabolites induced by infection were identified as salicylic acid and its glucoside. Furthermore, six yet unknown indolic polar metabolites were found only in infected plants. These compounds might be involved in the plant defense response. The methods developed in this project were applied to two other systems. Firstly, comparative analysis of metabolites from root exudates of phosphorus deficient/sufficient sugar beets revealed induced signals in phosphorus deficient plants, which were identified as salicylic acid and citramalic acid. Secondly, combination of genome diversity data on sesame with metabolic profiles of sesame seed extracts for a selected set of accessions provided information on the relationship between genomic and metabolic diversity in sesame and shed light on the role of selection for metabolite content during the evolution and domestication of this ancient crop." @default.
- W46374673 created "2016-06-24" @default.
- W46374673 creator A5063145599 @default.
- W46374673 date "2022-02-20" @default.
- W46374673 modified "2023-10-14" @default.
- W46374673 title "Development and application of LC-MS-based differential metabolic profiling in plant systems" @default.
- W46374673 cites W2111369365 @default.
- W46374673 doi "https://doi.org/10.53846/goediss-1972" @default.
- W46374673 hasPublicationYear "2022" @default.
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