From Metabolonote
jump-to-nav Jump to: navigation, search

Sample Set Information

ID TSE1352
Title Metabolic Reprogramming in Leaf Lettuce Grown Under Different Light Quality and Intensity Conditions Using Narrow-Band LEDs
Description Light-emitting diodes (LEDs) are an artificial light source used in closed-type plant factories and provide a promising solution for a year-round supply of green leafy vegetables, such as lettuce (Lactuca sativa L.). Obtaining high-quality seedlings using controlled irradiation from LEDs is critical, as the seedling health affects the growth and yield of leaf lettuce after transplantation. Because key molecular pathways underlying plant responses to a specific light quality and intensity remain poorly characterised, we used a multi-omics–based approach to evaluate the metabolic and transcriptional reprogramming of leaf lettuce seedlings grown under narrow-band LED lighting. Four types of monochromatic LEDs (one blue, two green and one red) and white fluorescent light (control) were used at low and high intensities (100 and 300 μmol·m−2·s−1, respectively). Multi-platform mass spectrometry-based metabolomics and RNA-Seq were used to determine changes in the metabolome and transcriptome of lettuce plants in response to different light qualities and intensities. Metabolic pathway analysis revealed distinct regulatory mechanisms involved in flavonoid and phenylpropanoid biosynthetic pathways under blue and green wavelengths. Taken together, these data suggest that the energy transmitted by green light is effective in creating a balance between biomass production and the production of secondary metabolites involved in plant defence.
Authors Kazuyoshi Kitazaki, Atsushi Fukushima, Ryo Nakabayashi, Yozo Okazaki, Makoto Kobayashi, Tetsuya Mori, Tomoko Nishizawa, Sebastian Reyes-Chin-Wo, Richard W. Michelmore, Kazuki Saito, Kazuhiro Shoji & Miyako Kusano
Reference Scientific Reports, volume 8, Article number: 7914 (2018)

Link icon article.png

Analytical Method Details Information

Title LC-q-TOF-MS (to detect secondary metabolites)
Instrument LC, Waters Acquity UPLC system; MS, Waters Xevo G2 Q-Tof
Instrument Type
Ionization ESI
Ion Mode negative
Description Extraction for LC-q-TOF-MS to detect secondary metabolites

Each frozen sample was extracted with 5 fold amount of solvent (methanol/water [8:2 v/v]) containing a reference compound (2.5 µM of 10-camphorsulfonic acid ([M-H]-, m/z 231.0691)) using a mixer mill MM301 (Retsch) at a frequency of 18 Hz for 7 min at 4°C. After centrifugation for 10 min at 17,000 × g, the supernatant was filtered using an Oasis® HLB µElusion plate (30 µm, Waters Co., Massachusetts, US).

LC-q-TOF-MS conditions to detect secondary metabolites
After preparation of the extracts, the sample extracts (1 µl) were analyzed using an LC-MS system equipped with an electrospray ionization (ESI) interface (LC, Waters Acquity UPLC system; MS, Waters Xevo G2 Q-Tof). The analytical conditions were as follows. LC: column, Acquity bridged ethyl hybrid (BEH) C18 (pore size 1.7 µm, length 2.1× 100 mm, Waters); solvent system,acetonitrile(0.1% formic acid):water (0.1% formic acid); gradient program, 0.5 : 99.5 v/v at 0 min, 0.5 : 99.5 v/v at 0.1 min, 80 : 20 v/v at 10 min, 99.5 : 0.5 v/v at 10.1 min, 99.5 : 0.5 v/v at 12 min and 0.5 : 99.5 v/v at 12.1 min, 0.5 : 99.5 v/v at 15 min; flow rate, 0.3 ml/min; temperature, 40 °C; MS detection: capillary voltage, +3.0 keV, cone voltage, 25.0 V, source temperature, 120°C, desolvation temperature, 450 °C, cone gas flow, 50 l/ h; desolvation gas flow, 800 l/h; collision energy, 6 V; mass range, m/z 50‒1500; scan duration, 0.1 sec; interscan delay, 0.014 sec; mode, centroid; polarity, negative; Lockspray (Leucineenkephalin): scan duration, 1.0 sec; interscan delay, 0.1 sec. The data were recorded using Progenesis CoMet (Nonlinear Dynamics).


Personal tools
View and Edit Metadata