Identified metabolites were annotated using KEGG Compound database (http://www.kegg.jp/kegg/ compound/), annotated metabolites were then mapped to KEGG Pathway database (http://www.kegg.jp/ kegg/pathway.html).
"],"repository":["MetaboLights"],"study_status":["Public"],"ptm_modification":[""],"instrument_platform":["Liquid Chromatography MS - alternating - reverse-phase"],"chromatography_protocol":["The sample extracts were analyzed using an UPLC-ESI-MS/MS system (UPLC, ExionLC AD https: //sciex.com.cn/) and Tandem mass spectrometry system (https://sciex.com.cn/). The analytical conditions were as follows, UPLC: column, Agilent SB-C18 (1.8 µm, 2.1 mm all_fetch_status all_status eb_eye_copy_status eb_eye_entry_counts eb_eye_fetch_status eb_eye_metabolights_complete.xml eb_eye_metabolights_compounds.copy eb_eye_metabolights_compounds.xml eb_eye_metabolights_studies.copy e_fetch_status europe_PMC_metabolights_studies.copy europe_PMC_metabolights_studies.xml head.xml studies.copy study.xml tail.xml thomsonreuters_metabolights_studies.copy thomsonreuters_metabolights_studies.xml 100 mm); The mobile phase was consisted of solvent A, pure water with 0.1% formic acid, and solvent B, acetonitrile with 0.1% formic acid. Sample measurements were performed with a gradient program that employed the starting conditions of 95% A, 5% B. Within 9 min, a linear gradient to 5% A, 95% B was programmed, and a composition of 5% A, 95% B was kept for 1 min. Subsequently, a composition of 95% A, 5.0% B was adjusted within 1.1 min and kept for 2.9 min. The flow velocity was set as 0.35 mL per minute; The column oven was set to 40°C; The injection volume was 2 μL. The effluent was alternatively connected to an ESI-triple quadrupole-linear ion trap (QTRAP)-MS.
"],"publication":["Integrated multi-omics analysis reveals the molecular basis underlying heterografting mediated regulation of longhorn beetle resistance in poplar scions and growth inhibition in poplar 107 scions."],"submitter_affiliation":["Zhejiang University of Technology"],"submitter_name":["B S"],"organism_part":["leaf"],"technology_type":["mass spectrometry assay"],"disease":[""],"extraction_protocol":["Using vacuum freeze-drying technology, place the biological samples in a lyophilizer (Scientz-100F), then grinding (30 Hz, 1.5 min) the samples to powder form by using a grinder (MM 400, Retsch). Next, weigh 50 mg of sample powder using an electronic balance (MS105DΜ) and add 1200 μL of -20 °C pre-cooled 70% methanolic aqueous internal standard extract (less than 50 mg added at the rate of 1200 μL extractant per 50 mg sample). Vortex once every 30 min for 30 sec, for a total of 6 times.
"],"organism":["populus"],"full_dataset_link":["https://www.ebi.ac.uk/metabolights/MTBLS15039"],"author":["Jianghao Wu. Hebei Agricultural University. wujianghao2022@126.com."],"data_transformation_protocol":["For two-group analysis, differential metabolites were determined by VIP (VIP > 1) and absolute Log2FC (|Log2FC| ≥ 1.0). VIP values were extracted from OPLS-DA result, which also contain score plots and permutation plots, was generated using R package MetaboAnalystR. The data was log transform (log2 ) and mean centering before OPLS-DA. In order to avoid overfitting, a permutation test (200 permutations) was performed.
"],"study_factor":["Treatment"],"submitter_email":["253313593@qq.com"],"sample_collection_protocol":["Group 107_107 represents 107 poplar trees that were self-grafted, while Group 107_pto represents 107 poplar scions grafted onto a Populus euphratica rootstock.
"],"omics_type":["Metabolomics"],"study_design":["Metabolomics","populus","poplar","ExionLC","targeted analysis","growth","Waters ACQUITY UPLC system","biotic stress resistance","leaf","Characteristics[Sample type]","jasmonic acid","phenolic"],"curator_keywords":["Metabolomics","populus","poplar","ExionLC","targeted analysis","growth","Waters ACQUITY UPLC system","biotic stress resistance","leaf","Characteristics[Sample type]","jasmonic acid","phenolic"],"mass_spectrometry_protocol":["The ESI source operation parameters were as follows: source temperature 500°C; ion spray voltage (IS) 5500 V (positive ion mode)/-4500 V (negative ion mode); ion source gas I (GSI), gas II(GSII), curtain gas (CUR) were set at 50, 60, and 25 psi, respectively; the collision-activated dissociation(CAD) was high. QQQ scans were acquired as MRM experiments with collision gas (nitrogen) set to medium. DP(declustering potential) and CE(collision energy) for individual MRM transitions was done with further DP and CE optimization. A specific set of MRM transitions were monitored for each period according to the metabolites eluted within this period.
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multi-omics analysis reveals the molecular basis underlying heterografting mediated regulation of longhorn beetle resistance in poplar scions and growth inhibition in poplar 107 scions","description":"Grafting improves plant traits and productivity, but the mechanisms underlying rootstock regulation of scion traits remain unclear. In this study, reciprocal grafting was performed between Populus × euramericana cv. 'Neva' (poplar 107) and Populus tomentosa 'Yixian' (P. tomentosa). Physiological, growth, transcriptomic, and metabolomic analyses were conducted on poplar 107 scions, while insect resistance assays were performed on both scions types. Results indicated that abscisic acid may be a key factor in the growth inhibition of heterografted poplar 107 scions. Heterologous grafting enhanced scion resistance against their respective target longhorn beetles. Distinct defense-related gene types involved in biotic stress responses were identified between the two scions: terpenoid- and lipid-metabolism related genes were dominant in poplar 107 scions, whereas phenolic- and lipid metabolism-related genes were enriched in P. tomentosa scions, with flavonoid biosynthesis playing an important role in enhanced biotic stress resistance. Primary metabolism dominated the growth–defense balance in poplar 107 scions. Three primary and three secondary metabolites were predicted to be transported from rootstocks to scions. Suppressed auxin, cytokinin, and gibberellin signaling, enhanced abscisic acid signaling, and downregulated lignin biosynthesis genes contributed to growth inhibition in poplar 107 scions. Increased jasmonic acid accumulation and upregulated lignin-related genes enhanced biotic stress resistance in P. tomentosa scions. Changes in highly connected jasmonic acid signaling genes and phenolic metabolites may play key roles in improving poplar resistance to biotic stress. This study preliminarily reveals rootstockmediated regulation of scion growth and biotic stress resistance in poplars, providing theoretical support for grafting application in forest production.","dates":{"publication":"2026-07-14","submission":"2026-07-14"},"accession":"MTBLS15039","cross_references":{}}