High-resolution metabolic mapping of cell types in plant roots

Metabolite composition offers a powerful tool for understanding gene function and regulatory processes. However, metabolomics studies on multicellular organisms have thus far been performed primarily on whole organisms, organs, or cell lines, losing information about individual cell types within a t...

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Bibliographic Details
Published in:Proceedings of the National Academy of Sciences - PNAS 2013-03, Vol.110 (13), p.E1232-E1241
Main Authors: Moussaieff, Arieh, Rogachev, Ilana, Brodsky, Leonid, Malitsky, Sergey, Toal, Ted W, Belcher, Heather, Yativ, Merav, Brady, Siobhan M, Benfey, Philip N, Aharoni, Asaph
Format: Article
Language:English
Subjects:
Arabidopsis - cytology
Arabidopsis - metabolism
Biological Sciences
Biosynthesis
Enzymes
Flowers & plants
Gene expression
Gene Expression Regulation, Plant - physiology
Metabolism
Metabolites
Metabolome - physiology
Plant Roots - cytology
Plant Roots - metabolism
Plants, Genetically Modified - cytology
Plants, Genetically Modified - metabolism
PNAS Plus
Ribonucleic acid
RNA
RNA, Messenger - biosynthesis
RNA, Plant - biosynthesis
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Summary:Metabolite composition offers a powerful tool for understanding gene function and regulatory processes. However, metabolomics studies on multicellular organisms have thus far been performed primarily on whole organisms, organs, or cell lines, losing information about individual cell types within a tissue. With the goal of profiling metabolite content in different cell populations within an organ, we used FACS to dissect GFP-marked cells from Arabidopsis roots for metabolomics analysis. Here, we present the metabolic profiles obtained from five GFP-tagged lines representing core cell types in the root. Fifty metabolites were putatively identified, with the most prominent groups being glucosinolates, phenylpropanoids, and dipeptides, the latter of which is not yet explored in roots. The mRNA expression of enzymes or regulators in the corresponding biosynthetic pathways was compared with the relative metabolite abundance. Positive correlations suggest that the rate-limiting steps in biosynthesis of glucosinolates in the root are oxidative modifications of side chains. The current study presents a work flow for metabolomics analyses of cell-type populations.
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.1302019110