•The temporal lag between gene expression and metabolite accumulation has been estimated in flavonoid biosynthesis.•Both expression of flavonol biosynthetic genes and accumulation of flavonol glycosides were investigated in Arabidopsis roots.•Expression of flavonoid biosynthetic genes is an early response.•Accumulation of flavonol glycosides is a late response.The temporal lag between gene expression and metabolite accumulation has been estimated in flavonol biosynthesis, but the time difference between these events is unclear. In the present study, we investigated the expression of flavonol biosynthetic genes ELONGATED HYPOCOTYL5, MYELOBLASTOSIS PROYEIN12/PRODUCTION OF FLAVONOL GLYCOSYDES1, CHALCONE SYNTHASE, CHALCONE ISOMERASE, FLAVANONE 3-HYDROXYLASE, and FLAVONOL SYNTHASE1, and the accumulation of flavonol glycosides (kaempferol and quercetin glycosides) in time-series samples of Arabidopsis thaliana roots. All genes started to be expressed within 3 h after sequential light irradiation (HAS) and reached their maximum expression levels at 12 HAS, and the accumulation of the flavonol glycosides started at 6 HAS. Metabolome analysis using liquid chromatography-mass spectrometry showed that the accumulation of kaempferol 3-O-glucoside-7-O-rhamnoside and kaempferol 3-O-rhamnosyl (1 → 2) glucoside-7-O-rhamnoside reached their maximum levels at 48 HAS, whereas other flavonol glycosides, such as kaempferol/quercetin 3-O-rhamnoside-7-O-rhamnoside, quercetin 3-O-glucoside-7-O-rhamnoside and quercetin 3-O-rhamnosyl (1 → 2) glucoside-7-O-rhamnoside, increased gradually until 96 HAS. These results show that the expression of the flavonol genes is an early response against light exposure, and that the accumulation of the flavonol glycosides is a late response.Download high-res image (130KB)Download full-size image

The discovery of bioactive natural compounds containing sulfur, which is crucial for inhibitory activity against angiotensin-converting enzyme (ACE), is a challenging task in metabolomics. Herein, a new S-containing metabolite, asparaptine (1), was discovered in the spears of Asparagus officinalis by targeted metabolomics using mass spectrometry for S-containing metabolites. The contribution ratio (2.2%) to the IC50 value in the crude extract showed that asparaptine (1) is a new ACE inhibitor.

Information on crop genotype- and phenotype-metabolite associations can be of value to trait development as well as to food security and safety. The unique study presented here assessed seed metabolomic and ionomic diversity in a soybean lineage representing ~35 years of breeding (launch years 1972–2008) and increasing yield potential. Selected varieties included six conventional and three genetically modified (GM) glyphosate-tolerant lines. A metabolomics approach utilizing capillary electrophoresis (CE)-time-of-flight-mass spectrometry (TOF-MS), gas chromatography (GC)-TOF-MS and liquid chromatography (LC)-quadrupole (q)-TOFMS resulted in measurement of a total of 732 annotated peaks. Ionomics through inductively-coupled plasma (ICP)-MS profiled twenty mineral elements. Orthogonal partial least squares-discriminant analysis (OPLS-DA) of the seed data successfully differentiated newer higher-yielding soybean from earlier lower-yielding accessions at both field sites. This result reflected genetic fingerprinting data that demonstrated a similar distinction between the newer and older soybean. Correlation analysis also revealed associations between yield data and specific metabolites. There were no clear metabolic differences between the conventional and GM lines. Overall, observations of metabolic and genetic differences between older and newer soybean varieties provided novel and significant information on the impact of varietal development on biochemical variability. Proposed applications of omics in food and feed safety assessments will need to consider that GM is not a major source of metabolite variability and that trait development in crops will, of necessity, be associated with biochemical variation.

Metabolomics plays an important role in phytochemical genomics and crop breeding; however, metabolite annotation is a significant bottleneck in metabolomic studies. In particular, in liquid chromatography–mass spectrometry (MS)-based metabolomics, which has become a routine technology for the profiling of plant-specialized metabolites, a substantial number of metabolites detected as MS peaks are still not assigned properly to a single metabolite. Oryza sativa (rice) is one of the most important staple crops in the world. In the present study, we isolated and elucidated the structures of specialized metabolites from rice by using MS/MS and NMR. Thirty-six compounds, including five new flavonoids and eight rare flavonolignan isomers, were isolated from the rice leaves. The MS/MS spectral data of the isolated compounds, with a detailed interpretation of MS fragmentation data, will facilitate metabolite annotation of the related phytochemicals by enriching the public mass spectral data depositories, including the plant-specific MS/MS-based database, ReSpect.

•CYP94 mutants disrupted in the oxidative turnover of JA-Ile behave as if they lack JA-Ile in responding to wounding even though they over-accumulate JA-Ile.•CYP94 mutants are more resistant to the growth inhibitory effects of wounding, accumulate less anthocyanin pigments, produce fewer trichomes, and are more susceptible to insects.•JA-Ile perception and signaling occur normally in the CYP94 mutants.•There is a global reduction in wound-induced metabolites in the CYP94 mutants.Plants rapidly perceive tissue damage, such as that inflicted by insects, and activate several key defense responses. The importance of the fatty acid-derived hormone jasmonates (JA) in dictating these wound responses has been recognized for many years. However, important features pertaining to the regulation of the JA pathway are still not well understood. One key unknown is the inactivation mechanism of the JA pathway and its relationship with plant response to wounding. Arabidopsis cytochrome P450 enzymes in the CYP94 clade metabolize jasmonoyl-L-isoleucine (JA-Ile), a major metabolite of JA responsible for many biological effects attributed to the JA signaling pathway; thus, CYP94s are expected to contribute to the attenuation of JA-Ile-dependent wound responses. To directly test this, we created the double and triple knock-out mutants of three CYP94 genes, CYP94B1, CYP94B3, and CYP94C1. The mutations blocked the oxidation steps and caused JA-Ile to accumulate 3–4-fold the WT levels in the wounded leaves. Surprisingly, over accumulation of JA-Ile did not lead to a stronger wound response. On the contrary, the mutants displayed a series of symptoms reminiscent of JA-Ile deficiency, including resistance to wound-induced growth inhibition, decreased anthocyanin and trichomes, and increased susceptibility to insects. The mutants, however, responded normally to exogenous JA treatments, indicating that JA perception or signaling pathways were intact. Untargeted metabolite analyses revealed > 40% reduction in wound-inducible metabolites in the mutants. These observations raise questions about the current JA signaling model and point toward a more complex model perhaps involving JA derivatives and/or feedback mechanisms. This article is part of a Special Issue entitled: Plant Lipid Biology edited by Kent D. Chapman and Ivo Feussner.

•The targeted metabolomic analysis S-omics was developed for S-containing metabolites (S-metabolites).•Differences among stable isotopes of 32S and 34S are key for S-omics.•Known S-metabolites were characterized using S-omics.•A new S-metabolite asparaptine was found in Asparagus officinalis using S-omics.•S-omics streamlines to unearth S-metabolites in metabolome resources.The advent of the genome-editing era greatly increases the opportunities for synthetic biology research that aims to enhance production of potentially useful bioactive metabolites in heterologous hosts. A wide variety of sulfur (S)-containing metabolites (S-metabolites) are known to possess bioactivities and health-promoting properties, but finding them and their chemical assignment using mass spectrometry-based metabolomics has been difficult. In this review, we highlight recent advances on the targeted metabolomic analysis of S-metabolites (S-omics) in plants using ultrahigh resolution mass spectrometry. The use of exact mass and signal intensity differences between 32S-containing monoisotopic ions and counterpart 34S isotopic ions exploits an entirely new method to characterize S-metabolites. Finally, we discuss the availability of S-omics for synthetic biology.Download high-res image (137KB)Download full-size image

•Plants are considered to biosynthesize specialized metabolites to adapt to environmental stresses.•The function of metabolites induced by abiotic stress in vivo is largely unknown.•Integrated metabolomics is a powerful approach to reveal their function.Plants are considered to biosynthesize specialized (traditionally called secondary) metabolites to adapt to environmental stresses such as biotic and abiotic stresses. The majority of specialized metabolites induced by abiotic stress characteristically exhibit antioxidative activity in vitro, but their function in vivo is largely yet to be experimentally confirmed. In this review, we highlight recent advances in the identification of the role of abiotic stress-responsive specialized metabolites with an emphasis on flavonoids. Integrated ‘omics’ analysis, centered on metabolomics with a series of plant resources differing in their flavonoid accumulation, showed experimentally that flavonoids play a major role in antioxidation in vivo. In addition, the results also suggest the role of flavonoids in the vacuole. To obtain more in-depth insights, chemical and biological challenges need to be addressed for the identification of unknown specialized metabolites and their in vivo functions.Download high-res image (165KB)Download full-size image

Rice (Oryza sativa) is an excellent resource; it comprises 25% of the total caloric intake of the world's population, and rice plants yield many types of bioactive compounds. To determine the number of metabolites in rice and their chemical diversity, the metabolite composition of cultivated rice has been investigated with analytical techniques such as mass spectrometry (MS) and/or nuclear magnetic resonance spectroscopy and rice metabolite databases have been constructed. This review summarizes current knowledge on metabolites in rice including sugars, amino and organic acids, aromatic compounds, and phytohormones detected by gas chromatography–MS, liquid chromatography–MS, and capillary electrophoresis–MS. The biological properties and the activities of polar and nonpolar metabolites produced by rice plants are also presented. Challenges in the estimation of the structure(s) of unknown metabolites by metabolomic approaches are introduced and discussed. Lastly, examples are presented of the successful application of metabolite profiling of rice to characterize the gene(s) that are potentially critical for improving its quality by combining metabolite quantitative trait loci analysis and to identify potential metabolite biomarkers that play a critical role when rice is grown under abiotic stress conditions.