Metabolic differences in ripening of Solanum lycopersicum ‘Ailsa Craig’ and three monogenic mutants
Autor: | Reza M. Salek, Charlie Hodgman, Graham B. Seymour, Charles Baxter, Stephan Beisken, David E. Portwood, Zsuzsanna Ament, Christoph Steinbeck, Rebecca Smith, Paul D. Fraser, Aniko Kende, Mark Seymour, Mark Earll |
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Rok vydání: | 2014 |
Předmět: |
Statistics and Probability
Data Descriptor Databases Factual Mutant Library and Information Sciences Mass spectrometry Tandem mass spectrometry 01 natural sciences Education 03 medical and health sciences Metabolomics Solanum lycopersicum Gene Expression Regulation Plant Botany Metadata annotation 030304 developmental biology 0303 health sciences biology Gene Expression Profiling 010401 analytical chemistry food and beverages Ripening biology.organism_classification 0104 chemical sciences Computer Science Applications Gene expression profiling Biochemistry Mutation Statistics Probability and Uncertainty Solanum Information Systems |
Zdroj: | Scientific Data |
ISSN: | 2052-4463 |
DOI: | 10.1038/sdata.2014.29 |
Popis: | Application of mass spectrometry enables the detection of metabolic differences between groups of related organisms. Differences in the metabolic fingerprints of wild-type Solanum lycopersicum and three monogenic mutants, ripening inhibitor (rin), non-ripening (nor) and Colourless non-ripening (Cnr), of tomato are captured with regard to ripening behaviour. A high-resolution tandem mass spectrometry system coupled to liquid chromatography produced a time series of the ripening behaviour at discrete intervals with a focus on changes post-anthesis. Internal standards and quality controls were used to ensure system stability. The raw data of the samples and reference compounds including study protocols have been deposited in the open metabolomics database MetaboLights via the metadata annotation tool Isatab to enable efficient re-use of the datasets, such as in metabolomics cross-study comparisons or data fusion exercises. |
Databáze: | OpenAIRE |
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