Differential metabolomics unraveling light/dark regulation of metabolic activities in Arabidopsis cell culture

Differential metabolomics based on a non-targeted FT-ICR/MS analysis demonstrated metabolite accumulation patterns reflecting light/dark conditions in Arabidopsis T87 cell culture. First, FT-ICR/MS data sets were converted into metabolome information using the Dr.DMASS software (http://kanaya.naist.jp/DrDMASS/). A,quick search of a metabolite-species database, KNApSAcK (http://kanaya.naist.jp/KNApSAcK/), was implemented to assign metabolite candidates to each accurate MS data (<1 ppm) through the prediction of molecular formulas, and the candidate structures were further studied using MS/MS analyses. Specific metabolites representing the culture conditions included sugars, phenylpropanoid derivatives, flavonol aglycons, and a plastid nomnevalonate pathway intermediate. Transcriptomics data were obtained in parallel and analyzed using a transcriptome analysis tool, KaPPA-View (http://kpv.kazusa.orjp/kappa-view/). The specific accumulation patterns of flavonol aglycons were in good agreement with the light/dark regulation of a cytochrome P450 gene, CYP75B, and the build-up of 2-C-methyl-D-erythritol 4-phosphate, a nonmevalonate pathway intermediate, in the light grown cells was also consistent with a gene expression profile. The differential metablomics scheme based on the FT-ICR/MS metabolomics can serve as an evaluation system of metabolic activities contributing to successful identification and proper manipulation of key enzymatic steps in metabolic engineering studies.