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MetaboLights MTBLS73 - GNPS 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): LTQ XL|1000854

ORGANISM(S): Solanum Lycopersicum|4081

SUBMITTER: Paul Fraser

PROVIDER: MSV000085873 | GNPS | Sat Aug 01 10:42:00 BST 2020

REPOSITORIES: GNPS

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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.

Project description:In the production of seedless table grapes, it is conventional to use plant growth regulators including gibberellins. Little is known about the differences in aroma volatiles between seedless-treated grapes and nontreated (seeded) grapes. Therefore, in this study, the aroma volatile profiles of seedless-treated and nontreated ‘Shine Muscat’ grape berries during ripening were compared using gas chromatography-mass spectrometry. Measurements of volatiles during ripening showed 202 peaks in the seedless-treated and nontreated whole grape berries. According to two-way analysis of variance, the number of volatiles with differences between seedless-treated and nontreated berries and/or between ripening stages was 123, whereas those with no differences between treatments and between ripening stages was 79. Two-way hierarchical clustering analysis for the 123 volatiles showed that seedless-treated berries at the early ripening stages were separated from the other berries, and the seedless-treated and nontreated berries at the post-ripening stage were classified into the same cluster. At the early ripening stage, more lipoxygenase-pathway volatiles were produced in the seedless-treated berries than in the non-treated ones. Linalool compounds increased in both seedless-treated and nontreated berries with ripening. Gene expression profile comparisons using principal component analysis of RNA-sequencing data showed that the seedless-treated berries ripened earlier than the nontreated berries at the early ripening stage. The number of differentially expressed genes in the seedless-treated berries decreased during ripening. Using weighted gene co-expression network analyses, 12 modules and 24 modules were detected in berry skin and flesh, respectively. The correlation analysis revealed that 33 volatiles correlated with four modules in the skin and 50 volatiles correlated with nine modules in the flesh. Most of the volatiles correlated with these modules were those that showed significant differences between treatments and/or ripening stages by two-way analysis of variance. The differences in the aroma volatile profiles between seedless-treated and nontreated berries decreased as harvest was delayed, suggesting that delaying the harvest may make it possible to bring the aroma of seedless-treated ‘Shine Muscat’ berries closer to the original aroma of the seeded berries.

Dataset Information

MetaboLights MTBLS73 - GNPS Metabolic differences in ripening of Solanum lycopersicum 'Ailsa Craig' and three monogenic mutants (alternative assay to MTBLS36)

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