plantMetabolomicsProject

A novel method for single-grain-based metabolic profiling of Arabidopsis seed
http://metadb.riken.jp/db/plantMetabolomics/0.1/Project/RPMM0049

A novel method for single-grain-based metabolic profiling of Arabidopsis seed

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  • RPMM0049
title
  • A novel method for single-grain-based metabolic profiling of Arabidopsis seed
description
  • Introduction: In plant metabolomics, metabolite contents are often normalized by sample weight. However, accurate weighing of very small samples, such as individual Arabidopsis thaliana seeds (approximately 20 microgram), is difficult, which may lead to irreproducible results.; Objectives: We aimed to establish alternative normalization methods for seed-grain-based comparative metabolomics of <i>A. thaliana.</i>; Methods: <i>Arabidopsis thaliana</i> seeds were assumed to have a prolate spheroid shape. Using a microscope image of each seed, the lengths of major and minor axes were measured by fitting a projected 2-dimensional shape of each seed as an ellipse. Metabolic profiles of individual diploid or tetraploid <i>A. thaliana</i> seeds were measured by our highly sensitive protocol (“widely targeted metabolomics”) that uses liquid chromatography coupled with tandem quadrupole mass spectrometry. Mass spectrometric analysis of 1 microliter of solution extract identified more than 100 metabolites. The data were normalized by various seed-size measures, including seed volume (single-grain-based analysis). For comparison, metabolites were extracted from 4 mg of diploid and tetraploid <i>A. thaliana</i> seeds and their metabolic profiles were analyzed by normalization of weight (weight-based analysis).; Results: A small number of metabolites showed statistically significant differences in the single-grain-based analysis compared to weight-based analysis. A total of 17 metabolites showed statistically different accumulation between ploidy types with similar fold changes in both analyses.; Conclusion: Seed-size measures obtained by microscopic imaging were useful for data normalization. Single-grain-based analysis enables evaluation of metabolism of each seed and elucidates the metabolic profiles of precious bioresources by using small amounts of samples.
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  • Japan Society for the Promotion of Science (Grants-in-Aid for Creative Scientific Research and Scientific Research A)
  • Ministry of Education, Culture, Sports, Science and Technology, Japan (Scientific Research on Priority Areas and Scientific Research on Innovative Areas)
  • Mitsubishi Foundation
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