Citation: A. Gippert et al. (2021-12-14): Unravel metabolic patterns and molecular mechanisms underlying storability in sugar beet. DOI:10.5447/ipk/2022/13

Abstract: Targeted and untargeted metabolic profiling of polar and semi-polar metabolites in extracts from freeze-dried sugar beet (Beta vulgaris L.) roots from six different varieties; V1-6. The analysis was performed via RP-UPLC-PDA-FLR (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to fluorescence detector) and RP-UPLC-PDA-ESI-QTOF-MS and -MS/MS (reverse phase ultra-performance liquid chromatography coupled to photodiode array detector and to electrospray quadrupole time-of-flight tandem mass spectrometry). The raw data files of metabolite analysis comprise: - “0_Metadata and methods” which contains three .txt documents describing the materials and methods of free amino acid, organic acids, and semi-polar metabolite analysis, as well as two .csv documents including metadata and metainformation. In these files, sample names, reagents, method details, as well as species, harvest dates and the CSFID from Madritsch et al., 2020 (https://doi.org/10.1007/s11103-020-01041-8) can be found. - “1_Free amino acids” including three .csv documents with the raw data, the evaluation, and the summary of free amino acid analysis. - “2_Organic acids” which contains four folders with raw LC-MS and -MSMS data including washes, blanks, standards, and samples. Also, it contains three .csv documents with the raw data, the evaluation, and the summary of organic acid analysis. - “3_Semi-polar compounds” including two folders with raw LC-MSMS data, as well as three .csv documents with the raw data, the evaluation, and the summary of semi-polar metabolite analysis. This work was funded by the Austrian Research Promotion Agency (FFG), grant number 855706.

License: CC BY 4.0 (Creative Commons Attribution)

DOI: 10.5447/ipk/2022/13

Content: 862 Directories 22816 Files (96.1 GB)