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leaf metabolites were identified by the commonly used HMDB and KEGG databases.&lt;/p></metabolite_identification_protocol><repository>MetaboLights</repository><study_status>Public</study_status><ptm_modification></ptm_modification><instrument_platform>Liquid Chromatography MS - negative - reverse-phase</instrument_platform><instrument_platform>Liquid Chromatography MS - positive - reverse-phase</instrument_platform><chromatography_protocol>&lt;p>Chromatographic separation of metabolites was performed on the Thermo UHPLC Vanquish Horizon system equipped with an Accucore C30 column (2.6 μm, 2.1 mm × 100 mm). The separation was achieved at 0.4 mL/min flow rate with a mobile phase as a gradient consisted of 10 mM ammonium acetate in acetonitrile:water (1:1, v/v), containing 0.1% formic acid (solvent A) and 2 mM ammonium acetate in acetonitrile:isopropanol:water (10:88:2, v/v/v), containing 0.1% formic acid (solvent B).&lt;/p></chromatography_protocol><publication>Interspecific variation in symbiosis with the swainsonine-producing fungus decouples the chemical defense strategies of Oxytropis locoweeds versus nontoxic congeners.</publication><submitter_name>Hao Zhou</submitter_name><submitter_affiliation>Wuhan University</submitter_affiliation><organism_part>leaf</organism_part><technology_type>mass spectrometry assay</technology_type><disease></disease><extraction_protocol>&lt;p>The leaf materials (50 mg) were accurately weighted and then washed by sterilized 1× PBS, and a 6-mm grinding bead was added to each tube. Leaf materials were mixed with 280 μL methanol:water (2:5, v/v) solution containing 0.02 mg/mL L-2-chlorophenylalanine as an internal standard. extraction, and then mixed with 400 μL MTBE. Mixture was treated by a high-throughput tissue crusher Wonbio-96c (Wanbo Biotechnology Co., LTD., Shanghai, China) at 50 Hz and −10℃ for 6 minutes, followed by ultrasound treatment at 40 kHz and 5℃ for 30 minutes. After centrifugation (at 12,000 rpm for 15 minutes), supernatants were transferred to a 2 mL autosampler vial for LC-MS/MS analysis.&lt;/p></extraction_protocol><organism>blank</organism><organism>Oxytropis microphylla</organism><organism>Oxytropis falcata</organism><organism>Oxytropis sericopetala</organism><organism>Oxytropis biflora</organism><organism>Oxytropis glacialis</organism><full_dataset_link>https://www.ebi.ac.uk/metabolights/MTBLS15472</full_dataset_link><author>Hao Zhou. Wuhan University. hao-zhou@whu.edu.cn.</author><data_transformation_protocol>&lt;p>After analysis, all raw data were imported into the LipidSearch (Thermo, CA) for peak detection, alignment and identification. The preprocessing results generated a data matrix that consisted of the metabolite class, retention time (RT), mass-to-charge ratio (m/z) values, and peak intensity. Features detected at least 80 % in any set of samples were retained. After filtering, minimum metabolite values were imputed for specific samples in which the metabolite levels fell below the lower limit of quantitation and features were normalized by sum. In order to reduce the errors caused by sample preparation and instrument instability, the response intensity of the sample mass spectrum peaks was normalized by the sum normalization method, and the normalized data matrix was obtained. At the same time, the variables with relative standard deviation (RSD) &amp;gt; 30% of QC samples were removed, and log10 logarithmization was performed to obtain the final data matrix for subsequent analysis.&lt;/p></data_transformation_protocol><study_factor>Species</study_factor><submitter_email>hao-zhou@whu.edu.cn</submitter_email><sample_collection_protocol>&lt;p>Samples were collected from the leaves of Oxytropis plants.&lt;/p></sample_collection_protocol><omics_type>Metabolomics</omics_type><study_design>Metabolomics</study_design><study_design>Oxytropis microphylla</study_design><study_design>blank</study_design><study_design>untargeted analysis</study_design><study_design>Oxytropis sericopetala</study_design><study_design>Oxytropis falcata</study_design><study_design>LipidSearch</study_design><study_design>Wuhan University</study_design><study_design>secondary metabolite biosynthetic process</study_design><study_design>Oxytropis glacialis</study_design><study_design>leaf</study_design><study_design>Thermo Scientific Vanquish UHPLC System</study_design><study_design>Thermo Scientific Q Exactive HF-X</study_design><study_design>Oxytropis biflora</study_design><study_design>experimental blank</study_design><curator_keywords>Metabolomics</curator_keywords><curator_keywords>blank</curator_keywords><curator_keywords>Oxytropis microphylla</curator_keywords><curator_keywords>untargeted analysis</curator_keywords><curator_keywords>Oxytropis falcata</curator_keywords><curator_keywords>Oxytropis sericopetala</curator_keywords><curator_keywords>LipidSearch</curator_keywords><curator_keywords>Wuhan University</curator_keywords><curator_keywords>secondary metabolite biosynthetic process</curator_keywords><curator_keywords>Oxytropis glacialis</curator_keywords><curator_keywords>leaf</curator_keywords><curator_keywords>Thermo Scientific Vanquish UHPLC System</curator_keywords><curator_keywords>Thermo Scientific Q Exactive HF-X</curator_keywords><curator_keywords>Oxytropis biflora</curator_keywords><curator_keywords>experimental blank</curator_keywords><mass_spectrometry_protocol>&lt;p>Mass spectrometric data was collected using a Thermo UHPLC-Q-Exactive HF-X Benchtop Orbitrap Mass Spectrometer equipped with heated-electrospray ionization (HESI) source operating in positive and negative ion mode. The detection was carried out over a mass range of 200-2000 m/z.&lt;/p></mass_spectrometry_protocol></additional><is_claimable>false</is_claimable><name>Metabolomics data of leaf samples of Oxytropis plants</name><description>This experiment aimed to analyze the leaf metabolite profiles of Oxytropis plants.</description><dates><publication>2026-09-10</publication><submission>2026-08-27</submission></dates><accession>MTBLS15472</accession><cross_references/></HashMap>