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

被引：18

作者：

Moenchgesang, Susann ^{[1
]}

Strehmel, Nadine ^{[1
]}

Trutschel, Diana ^{[1
,2
,3
]}

Westphal, Lore ^{[1
]}

Neumann, Steffen ^{[1
]}

Scheel, Dierk ^{[1
]}

机构：

[1] Leibniz Inst Plant Biochem Stress & Dev Biol, Weinberg 3, D-06120 Halle, Saale, Germany

[2] Univ Halle Wittenberg, Inst Comp Sci, Von Seckendorff Pl 1, D-06120 Halle, Saale, Germany

[3] German Ctr Neurodegenerat Disesaes, Stockumer Str 12, D-58453 Witten, Germany

来源：

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES | 2016年 / 17卷 / 09期

关键词：

LC/MS; GC/MS; Arabidopsis; secondary metabolism; natural variation; individual variability; metabolite profiling; MASS-SPECTROMETRY DATA; METABOLOMICS;

D O I：

10.3390/ijms17091565

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页数：9