Metabolomics reveals organ-specific metabolic rearrangements during early tomato seedling development

Abstract

• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication Citation for published version (APA):Gomez-Roldan, M. V., Engel, B., Vos, de, R. C. H., Vereijken, P., Astola, L. J., Groenenboom, M., ... Hall, R. D. (2014). Metabolomics reveals organ-specic metabolic rearrangements during early tomato seedling development. Metabolomics, 10(5), 958-974. DOI: 10.1007/s11306-014-0625-2 General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research.• You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Abstract Tomato seedlings (Solanum lycopersicum cv. MoneyMaker), grown under strictly controlled conditions, have been used to study alterations occurring in secondary metabolite biosynthetic pathways following developmental and environmental perturbations. Robustness and reproducibility of the system were confirmed using detailed statistical analyses of the metabolome. LCMS profiling was applied using whole germinated seeds as well as cotyledons, hypocotyls and roots from 3 to 9 days old seedlings to generate relative levels of 433 metabolites, of which 62 were annotated. Initial focus was given to the polyphenol pathway and several additional mass signals have been putatively annotated using high mass resolution fragmentation. Clear organ and developmental stage-specific differences were observed. Seeds accumulated saponin-like compounds; roots accumulated mainly alkaloids; cotyledons contained mainly glycosylated flavonols and; hypocotyls contained mainly anthocyanins. For each organ, the developmental changes in metabolite profiles were described by using linear mixed models. Across three independent experiments, 85 % of the metabolites showed similar developmental trends. This tomato seedling system has given us valuable additional insights into the complexity of seedling secondary metabolism. How metabolic profiles refle...

Broad spectrum insect resistance and metabolites in close relatives of the cultivated tomato

“…The resulting list with the relative abundances (based on peak heights) of each metabolite in each sample was used for statistical analyses. Selected metabolites most significantly correlating with insect resistance were manually annotated from the observed accurate masses of the molecular ion and its fragments, as well as absorbance spectra recorded by the in-line photodiode array detector using both publicly accessible and in-house LCMS metabolite databases from previous studies on tomato fruits (Moco et al 2007 ) and seedlings (Roldan et al 2014 ).…”

Transcription Factor-Mediated Control of Anthocyanin Biosynthesis in Vegetative Tissues

“…VIGS was based on the method described in Gomez Roldan et al (2014). Seedlings (15 per container) were raised in a container on 0.5 3 MS agar.…”

Plant Metabolomics: An Indispensable System Biology Tool for Plant Science

“…Plant phenotype depends on the synthesis and accumulation of a series of metabolites in specific organs, at specific developmental stages and upon random environmental signals [ 68 ], therefore, various kinds of metabolites in the plant have organ/tissue-specific characteristics [ 50 ]. For example, sphingolipids, a class of lipids critical for male reproductive development, is significantly different between pollen and leaf tissues in Arabidopsis [ 69 , 70 ].…”

“…For example, sphingolipids, a class of lipids critical for male reproductive development, is significantly different between pollen and leaf tissues in Arabidopsis [ 69 , 70 ]. In young tomato seedlings, anthocyanins accumulate in hypocotyls, while several flavonols and phenolic compounds pile up in cotyledons, and some alkaloidal compounds build up in radicals/roots [ 68 ]. Since numerous biochemical components vary at different cell levels or even at subcellular levels in the plant (there are approximately 40 different cell types in plants, even a plant organ such as a leaf may include about 15 different cell types) and metabolic processes are regulated by asymmetric distribution of regulatory element (enzymes and mRNA), therefore, high resolution of spatially resolved plant metabolomic technology is increasingly required for such studies [ 71 , 72 ].…”