<HashMap><database>MetaboLights</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Tabular>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14410/m_MTBLS14410_LC-MS_positive_reverse-phase_v2_maf.tsv</Tabular><Tabular>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14410/m_MTBLS14410_LC-MS_negative_reverse-phase_v2_maf.tsv</Tabular><Txt>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14410/a_MTBLS14410_LC-MS_positive_reverse-phase.txt</Txt><Txt>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14410/a_MTBLS14410_LC-MS_negative_reverse-phase.txt</Txt><Txt>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14410/s_MTBLS14410.txt</Txt><Txt>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14410/i_Investigation.txt</Txt></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><ftp_download_link>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14410</ftp_download_link><metabolite_identification_protocol>&lt;p>Metabolites were identified by comparing their mass spectra and retention times with the MetWare Database and public 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>UPLC analysis was performed using an ExionLC AD system coupled to a Waters ACQUITY UPLC HSS T3 C18 column (100 mm × 2.1 mm i.d., 1.8 μm). The mobile phase consisted of water with 0.05% formic acid (A) and acetonitrile with 0.05% formic acid (B). A gradient elution program was applied.&lt;/p></chromatography_protocol><publication>GhPsbO breaks the growth-immunity trade-off by simultaneously promoting growth and defence.</publication><submitter_affiliation>Institute of Cotton Research of CAAS</submitter_affiliation><submitter_name>JiaNing Li</submitter_name><organism_part>root</organism_part><technology_type>mass spectrometry assay</technology_type><disease></disease><extraction_protocol>&lt;p>The sample was freeze-dried, ground into powder (30 Hz, 1.5 min), and stored at -80°C until needed. 20 mg powder was weighted and extracted with 0.5 mL 70% methanol. 20 μL internal standard (10 mg/L) was added into the extract as internal standards (IS) for the quantication. The extract was sonicated for 30 min and centrifuged at 12, 000 g under 4 °C for 5 min. The supernatant was filtered through a 0.22 μm membrane filter for further LC-MS/MS analysis.&lt;/p></extraction_protocol><organism>Gossypium hirsutum</organism><full_dataset_link>https://www.ebi.ac.uk/metabolights/MTBLS14410</full_dataset_link><author>Xiaoyang Ge. Institute of Cotton Research of CAAS. gexiaoyang@caas.cn.</author><author>Jianing Li. Institute of Cotton Research of CAAS. 82101221032@caas.cn.</author><data_transformation_protocol>&lt;p>Raw LC-MS/MS data were acquired using the SCIEX QTRAP 6500+ mass spectrometer. Data processing was performed using the instrument's supporting software.&lt;/p></data_transformation_protocol><study_factor>Genotype</study_factor><submitter_email>82101221032@caas.cn</submitter_email><sample_collection_protocol>&lt;p>Root samples were collected from Gossypium hirsutum. The materials included wild-type BM and GhPsbO overexpression lines OE-GhPsbO, with three biological replicates in each group. All samples were frozen immediately in liquid nitrogen after collection.&lt;/p></sample_collection_protocol><omics_type>Metabolomics</omics_type><study_design>Metabolomics</study_design><study_design>AB SCIEX QTRAP 6500+</study_design><study_design>SCIEX ExionLC AD</study_design><study_design>targeted analysis</study_design><study_design>root</study_design><study_design>Metabolome</study_design><study_design>Gossypium hirsutum</study_design><study_design>experimental blank</study_design><curator_keywords>Metabolomics</curator_keywords><curator_keywords>AB SCIEX QTRAP 6500+</curator_keywords><curator_keywords>SCIEX ExionLC AD</curator_keywords><curator_keywords>targeted analysis</curator_keywords><curator_keywords>root</curator_keywords><curator_keywords>Metabolome</curator_keywords><curator_keywords>Gossypium hirsutum</curator_keywords><curator_keywords>experimental blank</curator_keywords><mass_spectrometry_protocol>&lt;p>Linear ion trap (LIT) and triple quadrupole (QQQ) scans were acquired on a triple quadrupole-linear ion trap mass spectrometer (QTRAP), QTRAP® 6500+ LC-MS/MS System, equipped with an ESI Turbo Ion-Spray interface, operating in positive and negative ion mode and controlled by Analyst 1.6.3 software (Sciex). The ESI source operation parameters were as follows: ion source, ESI+/-; source temperature 550 ℃; ion spray voltage (IS) 5500 V (Positive), -4500 V (Negative); curtain gas (CUR) was set at 35 psi, respectively. Flavonoids were analyzed using scheduled multiple reaction monitoring (MRM). Data acquisitions were performed using Analyst 1.6.3 software (Sciex). Multiquant 3.0.3 software (Sciex) was used to quantify all metabolites. Mass spectrometer parameters including the declustering potentials (DP) and collision energies (CE) for individual MRM transitions were 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.&lt;/p></mass_spectrometry_protocol></additional><is_claimable>false</is_claimable><name>GhPsbO breaks the growth-immunity trade-off by simultaneously promoting growth and defence</name><description>The evolutionarily conserved trade-off between pathogen resistance and crop yield remains a major bottleneck in agricultural breeding. Although numerous genes governing disease resistance or growth productivity have been identified, the pleiotropic regulatory factors that harmonize these two agronomic traits remain largely elusive. Here, we report that the chloroplast oxygen-evolving complex protein GhPsbO is dually modulated at both translational and transcriptional levels by the Verticillium dahliae effector Vd10375. Overexpression of GhPsbO enhances photosynthesis and accelerates lignin deposition to establish structural defense, thereby simultaneously improving crop yield and disease resistance in cotton. Unexpectedly, knockout of GhPsbO enhanced resistance to V. dahliae by elevating chloroplast-derived reactive oxygen accumulation and result in plant sacrifices. Consistently, transcriptional repression of GhPsbO by GhMYB44 overexpression (OE) significantly improved cotton resistance, mirroring the GhPsbO knockout disease-resistant phenotype. Collectively, our findings uncover a novel regulatory module balancing plant growth and immunity, and provide a promising molecular strategy for breaking the growth-defense trade-off to achieve sustainable crop production.</description><dates><publication>2026-04-29</publication><submission>2026-04-29</submission></dates><accession>MTBLS14410</accession><cross_references/></HashMap>