4.4 Article

Comparative structural profiling of trichome specialized metabolites in tomato (Solanum lycopersicum) and S-habrochaites: acylsugar profiles revealed by UHPLC/MS and NMR

Journal

METABOLOMICS
Volume 10, Issue 3, Pages 496-507

Publisher

SPRINGER
DOI: 10.1007/s11306-013-0585-y

Keywords

Acylsugars; Glandular trichomes; Comparative profiling; Collision-induced dissociation; Metabolite identification

Funding

  1. National Science Foundation (NSF) [IOS-10245636, DBI-0604336]
  2. Michigan AgBioResearch
  3. Direct For Biological Sciences
  4. Division Of Integrative Organismal Systems [1025636] Funding Source: National Science Foundation

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Many plants accumulate large quantities of specialized metabolites in secretory glandular trichomes (SGTs), which are specialized epidermal cells. In the genus Solanum, SGTs store a diverse collection of glucose and sucrose esters. Profiling of extracts from two accessions (LA1777 and LA1392) of Solanum habrochaites using ultra-high performance liquid chromatography-mass spectrometry (UHPLC/MS) revealed wide acylsugar diversity, with up to 11 isomers annotated for each individual elemental formula. These isomers arise from differences in ester chain lengths and their positions of substitution or branching. Since fragment ion masses were not sufficient to distinguish all isomers, 24 acylsucroses were purified from S. habrochaites accessions and cultivated tomato (Solanum lycopersicum M82) and characterized using NMR spectroscopy. Two-dimensional NMR spectra yielded assignments of positions of substitution of specific acyl groups, and locations of branching. The range of substitution was wider than reported earlier, and in contrast to previous reports, tetra- and penta-acylsucroses were substituted at position 2 with acyl groups other than acetate. Because UHPLC/MS fails to yield sufficient information about structure diversity, and quantitative NMR of acylsugar mixtures is confounded by structural redundancy, the strategic combination of NMR and UHPLC/MS provides a powerful approach for profiling a class of metabolites with great structural diversity across genotypes.

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