MetaboLightsapplication/xmlftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/m_MTBLS14821_LC-MS_positive_reverse-phase-c18_v2_maf.tsvftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/m_MTBLS14821_GC-MS_positive_polar-polyethylene-glycol-capillary-column_v2_maf.tsvftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/REQ20260621220803_MetaboLights_upload/Metadata.xlsxftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/SUPPLEMENTARY_FILES/Supplementary_files.xlsxftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/a_MTBLS14821_LC-MS_positive_reverse-phase-c18.txtftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/s_MTBLS14821.txtftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/a_MTBLS14821_GC-MS_positive_polar-polyethylene-glycol-capillary-column.txtftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/i_Investigation.txtftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_GC_MS_zip/G03.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_LC_MS_zip/RM66.d.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_LC_MS_zip/RM81.d.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_GC_MS_zip/G33.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_GC_MS_zip/G20.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_GC_MS_zip/G07.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_GC_MS_zip/G37.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_GC_MS_zip/G24.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_LC_MS_zip/RM21.d.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_LC_MS_zip/RM78.d.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_GC_MS_zip/G19.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_LC_MS_zip/RM18.d.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_GC_MS_zip/G06.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_GC_MS_zip/G02.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_GC_MS_zip/G23.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_LC_MS_zip/RM15.d.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_LC_MS_zip/RM63.d.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_GC_MS_zip/G18.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_GC_MS_zip/G01.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_LC_MS_zip/RM27.d.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_GC_MS_zip/G22.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_LC_MS_zip/RM30.d.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_LC_MS_zip/RM12.d.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_LC_MS_zip/RM75.d.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_LC_MS_zip/RM3.d.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_LC_MS_zip/RM9.d.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_GC_MS_zip/G05.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_GC_MS_zip/G04.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_LC_MS_zip/RM84.d.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_GC_MS_zip/G08.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_GC_MS_zip/G21.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_LC_MS_zip/RM99.d.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_LC_MS_zip/RM69.d.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_GC_MS_zip/G34.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_LC_MS_zip/RM72.d.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_LC_MS_zip/RM24.d.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_GC_MS_zip/G17.zipftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821/FILES/RAW_FILES/Raw_data_LC_MS_zip/RM6.d.zipprimary200OKftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14821<p>Metabolite identification and annotation were performed using Agilent MassHunter Qualitative Analysis 10.0. LC-HRMS features were annotated by comparing accurate mass, isotope/adduct patterns, and ion fragmentation information with published literature and metabolite databases, including METLIN, LIPID MAPS, Phenol-Explorer, LOTUS Natural Products Online, and FooDB v1.0. Putative annotations were accepted when the mass error was ≤20 ppm and isotope/adduct patterns were consistent with the proposed molecular formula or compound class. Selected compounds, including L-proline, jasmonoyl-isoleucine, medicagenic acid, apigenin, soyasapogenol B, and their matching derivatives, were confirmed or quantified using analytical standards where applicable. External calibration and co-injection retention time matching were used for MSI Level 1 confirmation of selected compounds, with ΔRT ≤3% and HR m/z agreement within ±5 ppm for the dominant ESI(+) adduct.&nbsp;</p>MetaboLightsPublicLiquid Chromatography MS - positive - reverse-phase-c18Gas Chromatography MS - positive - polar-polyethylene-glycol-capillary-column<p>The chromatographic separation for LC-HRMS analysis was performed using an Agilent 1290 Infinity II series HPLC system coupled to an Agilent 6530 qTOF MS system. Separation was carried out on a Zorbax Eclipse Plus C18 Rapid Resolution HD column, 2.1 × 150 mm, 1.8 µm particle size. The flow rate was 0.3 mL/min, the column oven temperature was set to 45 °C, and the injection volume was 3 µL. A 40 s needle wash with 70% methanol was used. The mobile phase consisted of solvent A, 0.1% formic acid in water, and solvent B, 0.1% formic acid in acetonitrile. Gradient elution was performed as follows: initial 5% B; 0–6 min, 20% B; 6–20 min, 40% B; 20–23 min, 80% B; 23–28 min, 95% B; 28–33 min, 95% B; 33–39 min, 5% B. UV/VIS spectra were recorded at 280 nm and 330 nm.&nbsp;</p>Common mycelial network modulates neighbour-primed plant defences against foliar pathogens by co-opting distinct inter-plant metabolic and biotic stress responses. 10.1101/2024.12.03.626652.Institute for Environmental SolutionsIlva Nakurteleafmass spectrometry assay<p>Leaf metabolic extracts were prepared from frozen homogenized Medicago truncatula leaf tissues. For each sample, 200 mg of frozen homogenized leaf tissue was aliquoted and resuspended in 1.5 mL of 70% methanol. Samples were vortexed for 1 min and left to macerate for 5 days at 4 °C in darkness. The obtained extract was filtered through a 0.45 µm filter prior to LC-HRMS analysis. No derivatization was performed for the LC-HRMS metabolomics assay. Analytical standards, including L-proline, jasmonoyl-isoleucine, medicagenic acid, apigenin, and soyasapogenol B, were used for absolute quantification of matching compounds and their derivatives where applicable. External solvent-based calibration was used. No internal standards or matrix-matched/standard-addition approaches were applied.</p>Medicago truncatulahttps://www.ebi.ac.uk/metabolights/MTBLS14821Zigmunds Orlovskis. Latvian Biomedical Research and Study Centre. Latvian Biomedical Research and Study Centre, Rātsupītes iela 1k-1, Rīga, LV-1067, Latvia. zigmunds.orlovskis@biomed.lu.lv.Ilva Nakurte. Institute for Environmental Solutions. Izstādes iela 2, Priekuļu pagasts, Cēsu novads, LV-4126, Latvia. ilva.nakurte@vri.lv.<p>Raw LC-HRMS data were processed using Agilent MassHunter Qualitative Analysis 10.0. Accurate mass, ion fragmentation data, isotope patterns, and adduct patterns were evaluated for metabolite annotation. Detected compounds were compared with information available in literature and metabolite databases, including METLIN, LIPID MAPS, Phenol-Explorer, LOTUS Natural Products Online, and FooDB v1.0. Metabolite annotations were accepted using a mass error threshold of ≤20 ppm together with consistency of isotope and adduct patterns. Selected compounds and their derivatives were quantified using external calibration with analytical standards, including L-proline, jasmonoyl-isoleucine, medicagenic acid, apigenin, and soyasapogenol B, where applicable. External calibration was performed using seven calibration levels with three replicates per level and linear fitting with 1/x weighting when required. Processed metabolomics data, validation outputs, and measured concentrations are provided in the supplementary data tables.&nbsp;</p>Treatmentilva.nakurte@vri.lv<p>Medicago truncatula R108 plants were grown in 1 L black plastic pots containing two separate 30 µm PA6 nylon mesh pockets filled with an autoclaved soil:sand mixture, surrounded by the same substrate. Seeds were scarified with a sterile scalpel, germinated on wet Whatman filter paper for 2–3 days, and planted into the mesh pockets. Plants were grown in a growth cabinet at 20 °C, 50% relative humidity, under a 16 h light / 8 h dark photoperiod, and watered weekly with 0.5× Hoagland nutrient solution. Rhizophagus irregularis DAOM 197198 spores were applied to one seedling per pot, and plants were grown for 7 weeks to establish common mycelial networks between sender and receiver plants. After 7 weeks, common mycelial networks were either kept intact or mechanically disrupted between mesh pockets. Three days later, sender plants were treated either with water control or by mechanical wounding followed by application of 1 µM flg22. Receiver plants were left untreated and leaf samples were collected 3 days after sender plant stimulation. Collected leaf material was frozen and homogenized prior to metabolomics analysis.&nbsp;Please update this protocol description</p>Metabolomics<p>Plant volatile analysis was performed using frozen homogenized Medicago truncatula leaf samples. For each sample, 100 mg of homogenized leaf tissue was aliquoted into a clean 20 mL headspace vial. Saturated NaCl solution was added to prevent enzymatic reactions, and the vials were sealed with Agilent headspace silica gel caps. Each vial was heated for 20 min at 60 °C with agitation cycles of 30 s on and 15 s off. Samples were analysed using an Agilent Technologies 7820A gas chromatograph coupled to an Agilent 5977B mass selective detector and equipped with a Gerstel MPS autosampler. The syringe temperature was set to 130 °C and the injection volume was 2500 µL. Separation was performed using a CP-Wax 52CB capillary column, 50 m × 0.32 mm, 0.20 µm film thickness, with polyethylene glycol stationary phase. Helium was used as the carrier gas with a split ratio of 1:20 and a flow rate of 1.2 mL/min. The temperature program started at 60 °C, increased at 10 °C/min to 250 °C, and was held for 3 min. The injector temperature was set to 260 °C. Mass spectra were recorded at 70 eV over an m/z range of 50–500, and the ion source temperature was maintained at 230 °C. Compound identification was based on retention indices determined using C5–C24 n-alkanes and mass spectral comparison with the NIST MS Search 2.2 library. Data acquisition and analysis were performed using Agilent MassHunter Qualitative Analysis 10.0.&nbsp;</p>MetabolomicsMedicago truncatulaplant defencecommon mycorrhizal networksarbuscular mycorrhizal fungiMassHunter Data AcquisitionAgilent Technologies 7820A gas chromatographuntargeted analysisinter-plant signallingleafexperimental sampleAgilent 6530 qTOF MS systemcommon mycelial networksAgilent 1290 Infinity II series HPLC systemmass spectrometryAgilent 5977B mass selective detectorMetabolomicsMedicago truncatulaplant defencecommon mycorrhizal networksarbuscular mycorrhizal fungiMassHunter Data AcquisitionAgilent Technologies 7820A gas chromatographinter-plant signallinguntargeted analysisleafexperimental sampleAgilent 6530 qTOF MS systemcommon mycelial networksAgilent 1290 Infinity II series HPLC systemmass spectrometryAgilent 5977B mass selective detector<p>The LC-HRMS analysis was performed using an Agilent 6530 qTOF MS system coupled to an Agilent 1290 Infinity II HPLC system. Electrospray ionization was used as the ion source, operating in positive ionization mode. The adjusted operating parameters of the mass spectrometer were as follows: fragmentation voltage, 70 V; gas temperature, 325 °C; drying gas flow, 10 L/min; nebulizer pressure, 20 psi; sheath gas temperature, 400 °C; and sheath gas flow, 12 L/min. Internal reference masses of 121.050873 m/z and 922.009798 m/z were used for all sample analyses using the G1969-85001 ES-TOF Reference Mass Solution Kit from Agilent Technologies and Supelco. LC-MS data were acquired and analysed using Agilent MassHunter Qualitative Analysis 10.0. Metabolite annotation was performed by comparing accurate mass, isotope/adduct patterns, and fragmentation information with literature and databases including METLIN, LIPID MAPS, Phenol-Explorer, LOTUS Natural Products Online, and FooDB v1.0, using an acceptance mass error of ≤20 ppm.</p>(S)-HomostachydrineAllyl tiglatefalseCommon mycelial network modulates neighbour-primed plant defences against foliar pathogens by co-opting distinct inter-plant metabolic and biotic stress responsesThis study contains raw and processed mass spectrometry-based metabolomics data from Medicago truncatula plants used to investigate inter-plant signalling through arbuscular mycorrhizal fungal common mycelial networks. The experiment examined metabolomic responses in receiver plants following stress-induced signalling from neighbouring sender plants, with a focus on defence-related metabolic changes, including leaf isoprenoid production and pathogen-specific responses to Fusarium sporotrichoides and Botrytis cinerea. The dataset includes raw mass spectrometry files, processed data tables, metabolite annotation results, and associated sample metadata.2026-06-302026-06-22MTBLS14821MTBLC195725MTBLC157781CHEBI:195725CHEBI:157781