Dataset Information

Metabolic differences in ripening of Solanum lycopersicum 'Ailsa Craig' and three monogenic mutants (alternative assay to MTBLS36)

ABSTRACT: The purpose of this study was to highlight metabolic differences between different cultivars of tomato through development and ripening. 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. For original information, see MTBLS36

INSTRUMENT(S): Thermo LTQ XL linear ion trap

SUBMITTER: Mark Earll

PROVIDER: MTBLS73 | MetaboLights | 2017-10-18

REPOSITORIES: MetaboLights

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Metabolic differences in ripening of Solanum lycopersicum 'Ailsa Craig' and three monogenic mutants.

Beisken Stephan S Earll Mark M Baxter Charles C Portwood David D Ament Zsuzsanna Z Kende Aniko A Hodgman Charlie C Seymour Graham G Smith Rebecca R Fraser Paul P Seymour Mark M Salek Reza M RM Steinbeck Christoph C

Scientific data 20140916

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 discr ...[more]

PMID: 25977786

Similar Datasets

Project description:Gene-to-gene coexpression analysis is a powerful approach to infer function of uncharacterized genes. To perform non-targeted coexpression analysis of tomato genes, we collected a developmental gene expression dataset using various tissues of tomato plant. Expression data are collected from 24 different tissue types including root, hypocotyl, cotyledon, leaf at different stages, and fruit tissues at 4 different ripening stages from 4 different Solanum lycopersicum cultivars. Fruits were separated to the flesh and the peel. These two tissue types indeed showed remarkably different gene expression profiles. We also collected data from 4 different ripening stages (mature green, yellow, orange, and red) to detail the changes during ripening. By using this gene expression dataset, we calculated pair-wise Pearsonâs correlation coefficients, and performed network-based coexpression analysis. The analysis generated a number of coexpression modules, some of which showed an enrichment of genes associated with specific functional categories. This result will be useful in inferring functions of uncharacterized tomato genes, and in prioritizing genes for further experimental analysis. We used Affymetrix GeneChip Tomato genome Arrays to detail the global gene expression change using 24 different tomato tissue types (67 hybridizations). We collected gene expression data from 24 different tomato tissue types using 67 hybridizations. Root, hypocotyl, cotyledon, and leaf were sampled from 3-week-old or 5-weekâold plant of Solanum lycopersicum cultivar Micro-Tom. Fruit tissues were sampled from S. lycopersicum cultivars Micro-Tom, Anthocyanin fruit (Aft, LA1996), Line27859, and Momotaro 8 (Takii, Japan). From Micro-Tom fruit, the peel and the flesh were separately sampled from 4 different ripening stages: mature green (MG, approximately 30 day after anthesis), yellow (Y, approximately 35 days after anthesis), orange (O, approximately 38-40 days after anthesis), and red (R, approximately 45-48 days after anthesis). From fruits of Aft and Line27859, the peel and the flesh were sampled at mature green (MG, approximately 40 days after anthesis) and red (R, approximately 50-55 days after anthesis) stages. From Momotaro 8, the peel and the flesh were sampled at red (R, 50- approximately 50-55 days after anthesis) stages. For each tissue type, 2-4 biological replicates were made in RNA preparation.

Project description:Tomato fruit ripening is under the control of ethylene as well as a group of ethylene-independent transcription factors, including NON-RIPENING (NOR) and RIPENING INHIBITOR (RIN). During ripening, the linear carotene lycopene accumulates at the expense of cyclic carotenoids. Fruit-specific overexpression of LYCOPENE β-CYCLASE (LCYb) under the control of the PHYTOENE DESATURASE (PDS) promoter resulted in increased levels of β-carotene and ABA and in decreased ethylene levels. Genes regulated by ABA, or involved in its synthesis and signaling, were overexpressed, while those associated with ethylene and cell wall remodeling were repressed. In agreement with the transcriptional data, LCYb-overexpressing fruits exhibited increased density of cell wall material containing linear, under-methylated pectins and displayed an array of additional ripening phenotypes, including delayed softening, increased turgor, enhanced shelf life and a thicker cuticle with a higher content of cutin monomers and triterpenoids. The levels of several primary metabolites and phenylpropanoids also changed in the transgenics, which could be attributed to delayed fruit ripening and to ABA respectively. Network correlation analysis suggests that ABA, acting through NOR and RIN, is responsible for many of the above phenotypes. These data reinforce suggestions that ABA plays an important role in tomato fruit ripening and provide clues that fruit b-carotene, acting as a precursor for ABA, actively participates in controlling the ripening process rather than merely being an output thereof. Overexpression of a LCYb gene from Arabidopsis under the control of the ripening-associated PDS promoter leads to ripe tomato fruits accumulating high β-carotene levels. Using several independent transgenic lines, we conducted a system-wide study of the effect of increased β-carotene levels on tomato fruit ripening and shelf life. Our data suggest that β-carotene, acting through ABA, is involved in a regulatory loop within the network controlling tomato fruit ripening.

			Action	DRS
	MTBLS73	Other
	FILES	Other
	a_MTBLS73_NEG_mass_spectrometry.txt	Txt
	a_MTBLS73_POS_mass_spectrometry.txt	Txt
	i_Investigation.txt	Txt