MetaboLights

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ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14507/m_MTBLS14507_LC-MS_positive_reverse-phase_v2_maf.tsvftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14507/m_MTBLS14507_LC-MS_negative_reverse-phase_v2_maf.tsvftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14507/s_MTBLS14507.txtftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14507/a_MTBLS14507_LC-MS_negative_reverse-phase.txtftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14507/a_MTBLS14507_LC-MS_positive_reverse-phase.txtftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14507/i_Investigation.txtprimaryOK200ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14507Method / pipeline: Raw mass spectrometry data were processed using CD3.1 (Compound Discoverer 3.1) software. Retention time, mass-to-charge ratio, and other parameters were screened to identify and quantify metabolites.Reference databases: Metabolite identification was performed using the mzCloud, mzVault, and Masslist databases.Software: CD3.1 (Compound Discoverer 3.1) for data processing and identification; subsequent multivariate analysis (PCA, PLS-DA) and VIP calculation were performed with metaX software.Additional tools: Statistical analysis and visualization were done with Excel 2019, GraphPad Prism 10, R (v4.3.1), and SPSS (v26.0).MetaboLightsPublicLiquid Chromatography MS - negative - reverse-phaseLiquid Chromatography MS - positive - reverse-phaseColumn: Hypesil Gold column (C18)Mobile phase: Phase A – 0.1% methanoic acid; Phase B – methanolGradient elution (A/B, v/v):0 min: 98:21.5 min: 98:23 min: 15:8510 min: 0:10010.1 min: 98:211 min: 98:212 min: 98:2Flow rate: 0.2 mL/minColumn temperature: 40 °CInjection volume: 4 µLTranscriptome-and metabolome-based mechanisms of high-temperature adaptation in triploid rainbow trout (Oncorhynchus mykiss).Peking UniversityDuo Keailivermass spectrometry assaySample preparation: 100 mg of liver tissue was ground with liquid nitrogen, placed in an EP tube, and mixed with 500 microL of 80% methanol aqueous solution. The sample was vortexed, shaken, allowed to stand in an ice bath for 5 min, and then centrifuged at 15,000 g for 20 min at 4 °C.Dilution and re-centrifugation: An aliquot of the supernatant was diluted with mass spectrometry water to 53% methanol. After centrifugation at 5,000 g for 20 min at 4 °C, the supernatant was collected and injected into the LC-MS for analysis.Control samples: No information on pooled samples, standards, quality controls (QCs), or solvent blanks was provided in the described method.Oncorhynchus mykisshttps://www.ebi.ac.uk/metabolights/MTBLS14507Shuchen Huang. Qinghai University. 19544523629@163.com.Yanxia Chen. Qinghai University. chenyanxia2021@qhu.edu.cn.Instrument: LC-MS/MS (exact brand/model not specified; data processing used CD3.1 software, suggesting a Thermo Fisher system)Scan range: m/z 100-1500Ion source: ESIPolarity: Positive and negativeESI source settings:Spray voltage: 3.5 kVSheath gas flow rate: 35 psiAux gas flow rate: 10 L/minIon transfer tube temperature (Capillary Temp): 320 °CS-lens RF level: 60Aux gas heater temperature: 350 °CMS/MS mode: Data-dependent secondary scansGroupkeaiduoduo998@126.comTriploid rainbow trout specimens for this study were sourced from Qinghai Minze Longyangxia Ecological Aquatic Products Co., Ltd. In August 2023, fish were categorized into three size groups during sampling: small (SLA, 0.8 ± 0.18 kg), medium (MLA, 1.5 ± 0.22 kg), and large (LLA, 2.5 ± 0.31 kg). Six individuals from each size class were collected in a single harvest event using standard commercial nets. Prior to sampling, all fish were raised under uniform conditions and fed the same commercial diet.  To establish a consistent metabolic baseline, the fish were fasted for 24 hours before tissue collection. They were then anesthetized with eugenol (1:10,000 v/v; Shanghai Reagent Corporation, China). Liver tissues were promptly dissected, rapidly frozen in liquid nitrogen, and subsequently stored at -80°C for later analysis.MetabolomicsThermo Scientific Vanquish UHPLC SystemMetabolomicsHigh-temperature adaptationTranscriptomicsliveruntargeted analysisBody weightThermo Scientific Q Exactive HF-X100–1500Triploid rainbow troutOncorhynchus mykissThermo Scientific Vanquish UHPLC SystemMetabolomicsHigh-temperature adaptationTranscriptomicsliveruntargeted analysisBody weightThermo Scientific Q Exactive HF-X100–1500Triploid rainbow troutOncorhynchus mykissInstrument: LC-MS/MS (exact brand/model not specified; data processing used CD3.1 software, suggesting a Thermo Fisher system)Scan range: m/z 100-1500Ion source: ESIPolarity: Positive and negativeESI source settings:Spray voltage: 3.5 kVSheath gas flow rate: 35 psiAux gas flow rate: 10 L/minIon transfer tube temperature (Capillary Temp): 320 °CS-lens RF level: 60Aux gas heater temperature: 350 °CMS/MS mode: Data-dependent secondary scansfalseTranscriptome-and metabolome-based mechanisms of high-temperature adaptation in triploid rainbow trout (Oncorhynchus mykiss)High-temperature stress critically challenges cold-water aquaculture; however, the size-dependent molecular mechanisms underlying thermal adaptation in triploid rainbow trout (Oncorhynchus mykiss) remain poorly understood. Here, we integrated transcriptomic and metabolomic profiling of liver tissues from three body-weight classes-small (0.8 kg), medium (1.5 kg), and large (2.5 kg)-sampled under peak summer heat stress. Transcriptomic analysis identified 974, 570, and 862 group-specific differentially expressed genes, respectively, revealing a non-linear, size-dependent transcriptional pattern. The ribosome pathway was universally enriched across all size groups, whereas carbon metabolism and amino acid biosynthesis were enriched exclusively in smaller fish, indicating a higher catabolic burden under heat stress. Metabolomic profiling identified 1,123 metabolites, with lipids accounting for 45.06%, and showed size-specific enrichments in biosynthesis of unsaturated fatty acids, glycerophospholipid metabolism, arachidonic acid metabolism, and necroptosis. Integrative analysis revealed that in smaller fish, pla2g1b and gpx4a coordinately regulate the accumulation of prostaglandin H2 and 16(R)-HETE, forming a regulatory network with ferroptosis-related genes acsl4a and hmox1a; concurrently, chka, lpin1, and phospholipase A2 members drive extensive membrane phospholipid remodeling. A negative correlation between hsd17b3 and 7alpha-hydroxytestosterone suggests size-dependent steroid-mediated energy repartitioning. Collectively, smaller fish undergo extensive transcriptional and metabolic reprogramming with heightened activation of cell death pathways, whereas larger fish maintain greater thermal buffering capacity. These findings provide molecular targets for size-stratified thermal management and selective breeding in rainbow trout aquaculture.2026-05-172026-05-17MTBLS14507