MetaboLights

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uk/pub/databases/metabolights/studies/public/MTBLS15047Feature Detection (Peak Picking and Grouping)Metabolite Annotation (Identification)Integrated Analysis PlatformsAnnotation Confidence Levels (MSI Guidelines)MetaboLightsPublicLiquid Chromatography MS - positive - hilicLiquid Chromatography MS - negative - hilicAll samples were analyzed using an LC–MS system. Chromatographic separation was initially performed on an UltiMate 3000 UPLC system (Thermo Fisher Scientific, Bremen, Germany). Reverse–phase separation was achieved using an ACQUITY UPLC T3 column (Waters, Milford, USA), maintained at a constant column temperature of 40 °C. The mobile phase consisted of solvent A (a water solution containing 5 mM ammonium acetate and 5 mM acetic acid) and solvent B (acetonitrile). The flow rate was set at 0.3 mL/min, with Solvent A as the initial phase. The gradient elution program was as follows: 0–0.8 min, 2% B; 0.8–2.8 min, 2–70% B; 2.8–5.6 min, 70–90% B; 5.6–6.4 min, 90–100% B; 6.4–8.0 min, 100% B; 8.0–8.1 min, 100–2% B; 8.1–10.0 min, 2% B. Metabolites eluting from the column were detected using a high–resolution tandem mass spectrometer, the Q–Exactive (Thermo Fisher Scientific). Raw data were processed using Progenesis QI software for peak picking, alignment, and normalization. Internal standard correction and total ion current (TIC) normalization were applied to correct for sample–to–sample variations. Metabolite annotation was performed using the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Human Metabolome Database. The partial least squares discriminant analysis (PLSDA) was performed using R package 'ropls', and the Variable Importance in the Projection (VIP) values of each variable were calculated. The three conditions of P<0.05, difference multiple>1.2 obtained by the t–test, and VIP calculated by the PLSDA simultaneously met the screening criteria for the final metabolites with significant differences.Ultrasound Priming Enhances Seed Vigor and Multiple Stresses Tolerance in Aged Maize Seeds.Peking UniversityDuo Keaisoilmass spectrometry assayMetabolome analysis based on liquid chromatography–mass spectrometry was performed on maize seeds treated with US (100 mg) and CK (100 mg) under non–biotic stress and control conditions. The specific procedure is as follows: Samples were extracted with 1 mL of pre–chilled 50% methanol, vortexed for 1 minute, and incubated at room temperature for 10 minutes. The extract was stored at –20°C overnight. After centrifugation at 4000g for 20 minutes, the supernatant was transferred to a new 96–well plate. Samples were stored at –80°C pending LC–MS analysis. Prepare pooled quality control samples by combining 10 μL from each extraction. Include four replicates per treatment group. soil organic matterhttps://www.ebi.ac.uk/metabolights/MTBLS15047Min Gong. Chinese Academy of Agricultural Sciences. 15650090557@163.com.Guohua Lv. Chinese Academy of Agricultural Sciences. 342029277@qq.com.Raw Data ConversionFeature Detection and PreprocessingPeak Alignment and FilteringNormalization and Missing Value ImputationBatch Correction (if multi-batch)Metabolite AnnotationStatistical AnalysisGroupkeaiduoduo998@126.comThe samples consist of soil from the rhizosphere of corn and were stored at -80 degrees Celsius.MetabolomicsAged seedsuntargeted analysisStress toleranceyieldSeed vigorLipidomicsUltiMate 3000 UPLCsoilsoil organic matterUltrasoundQ ExactiveAged seedsuntargeted analysisStress toleranceyieldSeed vigorLipidomicsUltiMate 3000 UPLCsoilsoil organic matterUltrasoundQ ExactiveMetabolome analysis based on liquid chromatography–mass spectrometry was performed on maize seeds treated with US (100 mg) and CK (100 mg) under non–biotic stress and control conditions. The specific procedure is as follows: Samples were extracted with 1 mL of pre–chilled 50% methanol, vortexed for 1 minute, and incubated at room temperature for 10 minutes. The extract was stored at –20°C overnight. After centrifugation at 4000g for 20 minutes, the supernatant was transferred to a new 96–well plate. Samples were stored at –80°C pending LC–MS analysis. Prepare pooled quality control samples by combining 10 μL from each extraction. Include four replicates per treatment group. All samples were analyzed using an LC–MS system. Chromatographic separation was initially performed on an UltiMate 3000 UPLC system (Thermo Fisher Scientific, Bremen, Germany). Reverse–phase separation was achieved using an ACQUITY UPLC T3 column (Waters, Milford, USA), maintained at a constant column temperature of 40 °C. The mobile phase consisted of solvent A (a water solution containing 5 mM ammonium acetate and 5 mM acetic acid) and solvent B (acetonitrile). The flow rate was set at 0.3 mL/min, with Solvent A as the initial phase. The gradient elution program was as follows: 0–0.8 min, 2% B; 0.8–2.8 min, 2–70% B; 2.8–5.6 min, 70–90% B; 5.6–6.4 min, 90–100% B; 6.4–8.0 min, 100% B; 8.0–8.1 min, 100–2% B; 8.1–10.0 min, 2% B. Metabolites eluting from the column were detected using a high–resolution tandem mass spectrometer, the Q–Exactive (Thermo Fisher Scientific). Raw data were processed using Progenesis QI software for peak picking, alignment, and normalization. Internal standard correction and total ion current (TIC) normalization were applied to correct for sample–to–sample variations. Metabolite annotation was performed using the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Human Metabolome Database. The partial least squares discriminant analysis (PLSDA) was performed using R package 'ropls', and the Variable Importance in the Projection (VIP) values of each variable were calculated. The three conditions of P<0.05, difference multiple>1.2 obtained by the t–test, and VIP calculated by the PLSDA simultaneously met the screening criteria for the final metabolites with significant differences..beta.-glycerophosphate(2-aminoethoxy)[3-[hexadec-1-en-1-yloxy]-2-[hexadec-9-enoyloxy]propoxy]phosphinic acid.alpha.-L-Asp-L-Phe(2-aminoethoxy)[3-[hexadec-1-en-1-yloxy]-2-(hexadecanoyloxy)propoxy]phosphinic acid(2-oxo-2,3-dihydro-1h-indol-3-yl)acetic acid.alpha.-keto-.gamma.-(methylthio)butyric acid(+)-catechin(2-aminoethoxy)[2-[docosa-4.7.10.13.16.19-hexaenoyloxy]-3-[octadeca-1.9-dien-1-yloxy]propoxy]phosphinic acid(2-aminoethoxy)[3-[hexadec-1-en-1-yloxy]-2-[icosa-5.8.11.14-tetraenoyloxy]propoxy]phosphinic acid(2-aminoethoxy)[2-[docosa-4.7.10.13.16.19-hexaenoyloxy]-3-[hexadec-1-en-1-yloxy]propoxy]phosphinic acid.gamma.-linolenic acidfalseUltrasound Priming Enhances Seed Vigor and Multiple Stresses Tolerance in Aged Maize SeedsSeed vigor plays a crucial role in germination rate, population uniformity, seedling stress resistance and potential yield at maturity. Here we report a simple, eco-friendly physical method (40-second ultrasound) that rapidly triggers aged seeds to enhance seed vigor and stress resistance. Significant changes have occurred in the structure of the maize seed surface, internal enzymes activity, and genes expression. Ultrasound triggered transcriptional and metabolic reprogramming in seeds, activating additional pathways associated with growth and defense. Field trials demonstrated that ultrasonic treatment significantly increased maize yield by 8.65%-10.79%, offering an effective strategy for restoring the vigor of aged seeds to cope with extreme weather under climate change.2026-07-152026-07-15MTBLS15047HMDB0001553HMDB0000706HMDB0002520HMDB0003073HMDB0002780HMDB0005780HMDB0011460HMDB0011158HMDB0011339HMDB0011352HMDB0035514