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Open AccessCommunication
Int. J. Mol. Sci. 2016, 17(9), 1565; doi:10.3390/ijms17091565

Plant-to-Plant Variability in Root Metabolite Profiles of 19 Arabidopsis thaliana Accessions Is Substance-Class-Dependent

1
Leibniz Institute of Plant Biochemistry, Stress and Developmental Biology, Weinberg 3, 06120 Halle (Saale), Germany
2
Institute of Computer Science, Martin-Luther-University Halle-Wittenberg, Von-Seckendorff-Platz 1, 06120 Halle (Saale), Germany
3
German Center for Neurodegenerative Disesaes, Stockumer Straße 12, 58453 Witten, Germany
*
Authors to whom correspondence should be addressed.
Academic Editor: Ute Roessner
Received: 30 June 2016 / Revised: 8 September 2016 / Accepted: 12 September 2016 / Published: 16 September 2016
(This article belongs to the Special Issue Metabolomics in the Plant Sciences)
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Abstract

Natural variation of secondary metabolism between different accessions of Arabidopsis thaliana (A. thaliana) has been studied extensively. In this study, we extended the natural variation approach by including biological variability (plant-to-plant variability) and analysed root metabolic patterns as well as their variability between plants and naturally occurring accessions. To screen 19 accessions of A. thaliana, comprehensive non-targeted metabolite profiling of single plant root extracts was performed using ultra performance liquid chromatography/electrospray ionization quadrupole time-of-flight mass spectrometry (UPLC/ESI-QTOF-MS) and gas chromatography/electron ionization quadrupole mass spectrometry (GC/EI-QMS). Linear mixed models were applied to dissect the total observed variance. All metabolic profiles pointed towards a larger plant-to-plant variability than natural variation between accessions and variance of experimental batches. Ratios of plant-to-plant to total variability were high and distinct for certain secondary metabolites. None of the investigated accessions displayed a specifically high or low biological variability for these substance classes. This study provides recommendations for future natural variation analyses of glucosinolates, flavonoids, and phenylpropanoids and also reference data for additional substance classes. View Full-Text
Keywords: LC/MS; GC/MS; Arabidopsis; secondary metabolism; natural variation; individual variability; metabolite profiling LC/MS; GC/MS; Arabidopsis; secondary metabolism; natural variation; individual variability; metabolite profiling
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Mönchgesang, S.; Strehmel, N.; Trutschel, D.; Westphal, L.; Neumann, S.; Scheel, D. Plant-to-Plant Variability in Root Metabolite Profiles of 19 Arabidopsis thaliana Accessions Is Substance-Class-Dependent. Int. J. Mol. Sci. 2016, 17, 1565.

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