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Metabolic differences in ripening of Solanum lycopersicum ‘Ailsa Craig’ and three monogenic mutants

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 (...

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Published in:Scientific data 2014-09, Vol.1 (1), p.140029-140029, Article 140029
Main Authors: Beisken, Stephan, Earll, Mark, Baxter, Charles, Portwood, David, Ament, Zsuzsanna, Kende, Aniko, Hodgman, Charlie, Seymour, Graham, Smith, Rebecca, Fraser, Paul, Seymour, Mark, Salek, Reza M., Steinbeck, Christoph
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Language:English
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Summary: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. Design Type(s) time series design • strain comparison design • reference design • organism development design Measurement Type(s) metabolite profiling Technology Type(s) mass spectrometry analysis Factor Type(s) genotype • Timepoint • Replicate • material sample role Sample Characteristic(s) Solanum lycopersicum • fruit Machine-accessible metadata file describing the reported data (ISA-Tab format)
ISSN:2052-4463
2052-4463
DOI:10.1038/sdata.2014.29