Abstract
Application of mass spectrometry-based metabolomics enables the detection of genotype-related natural variance in metabolism. Differences in secondary metabolite composition of flowers of 64 Arabidopsis thaliana (Arabidopsis) natural accessions, representing a considerable portion of the natural variation in this species are presented. The raw metabolomic data of the accessions and reference extracts derived from flavonoid knockout mutants have been deposited in the MetaboLights database. Additionally, summary tables of floral secondary metabolite data are presented in this article to enable efficient re-use of the dataset either in metabolomics cross-study comparisons or correlation-based integrative analysis of other metabolomic and phenotypic features such as transcripts, proteins and growth and flowering related phenotypes.
Highlights
Background and SummaryPlant secondary metabolites that have high natural diversity in their chemical structures and abundances can be identified through metabolic screening of populations even in the comparisons between ecotypes and cultivars belonging to the same species[1,2,3]
Since several physiological studies using Arabidopsis accessions have been reported with phenotypic analysis under stress conditions such as UV-B irradiation[8], drought and salinity stress[9,10] and biotic stressors[11], understanding of plant secondary metabolites for the conferral of protection towards stress condition is highly important
As several secondary compounds initially identified in model plants bring nutritional and health benefits to humans[14,15], these data will be helpful in the design of future plant metabolic engineering used for translational genomics applications from model species to crops
Summary
Plant secondary metabolites (so-called specialized metabolites) that have high natural diversity in their chemical structures and abundances can be identified through metabolic screening of populations even in the comparisons between ecotypes and cultivars belonging to the same species[1,2,3]. This may represent relatively recent adaptations or more phylogenetical restrictions in the evolution of such metabolisms[3,4,5]. As several secondary compounds initially identified in model plants bring nutritional and health benefits to humans[14,15], these data will be helpful in the design of future plant metabolic engineering used for translational genomics applications from model species to crops
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