MetaboLightsapplication/xmlftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14304/m_MTBLS14304_LC-MS_negative_reverse-phase_v2_maf.tsvftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14304/m_MTBLS14304_LC-MS_positive_reverse-phase_v2_maf.tsvftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14304/s_MTBLS14304.txtftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14304/a_MTBLS14304_LC-MS_negative_reverse-phase.txtftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14304/a_MTBLS14304_LC-MS_positive_reverse-phase.txtftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14304/i_Investigation.txtprimaryOK200rootsftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS14304<p>After completing the chromatographic separation, the LC-MS raw data were imported into the metabolomics processing software Progenesis QI (Waters Corporation, Milford, USA) for baseline filtering, peak identification, integration, retention time correction, and peak alignment. This process ultimately yielded a data matrix containing retention time, mass-to-charge ratio (m/z), and peak intensity. Simultaneously, MS and MSMS mass spectrometry data were matched against the metabolic public databases HMDB (http://www.hmdb.ca/) and Metlin (https://metlin.scripps.edu/), as well as Meiji's proprietary database, to obtain metabolite information.</p>mass spectrometry assay<p>Take XXX mg of solid sample into a 2 mL centrifuge tube and add a grinding bead with a diameter of 6 mm. Perform metabolite extraction using 400 μL of extraction solution (methanol:water = 4:1 (v:v)) containing an internal standard (L-2-chlorophenylalanine) at a concentration of 0.02 mg/mL. Grind the sample solution in a cryogenic tissue grinder for 6 minutes (-10°C, 50 Hz), followed by low-temperature ultrasonic extraction for 30 minutes (5°C, 40 kHz). Allow the sample to stand at-20°C for 30 minutes, then centrifuge for 15 minutes (4°C, 13,000 g). Transfer the supernatant to an injection vial with an inner tube and analyze using the instrument.</p>Codonopsishttps://www.ebi.ac.uk/metabolights/MTBLS14304<p>First, data preprocessing was performed: the data matrix was filtered using an 80% rule to remove missing values, retaining variables with non-zero values exceeding 80% in at least one sample set. Subsequently, missing values were imputed (using the minimum value from the original matrix). To minimize errors caused by sample preparation and instrument instability, the response intensity of mass spectrometry peaks was normalized using the sum normalization method, resulting in a normalized data matrix. Additionally, variables with relative standard deviation (RSD)&gt;30% in QC samples were removed, and the data underwent log10 logarithmic transformation to obtain the final data matrix for subsequent analysis.</p>Treatment17759015202@163.com<p>Take XXX mg of solid sample into a 2 mL centrifuge tube and add a grinding bead with a diameter of 6 mm. Perform metabolite extraction using 400 μL of extraction solution (methanol:water = 4:1 (v:v)) containing an internal standard (L-2-chlorophenylalanine) at a concentration of 0.02 mg/mL. Grind the sample solution in a cryogenic tissue grinder for 6 minutes (-10°C, 50 Hz), followed by low-temperature ultrasonic extraction for 30 minutes (5°C, 40 kHz). Allow the sample to stand at-20°C for 30 minutes, then centrifuge for 15 minutes (4°C, 13,000 g). Transfer the supernatant to an injection vial with an inner tube and analyze using the instrument.</p>MetaboLightsPublicMetabolomicsLiquid Chromatography MS - negative - reverse-phaseLiquid Chromatography MS - positive - reverse-phaseThermo Scientific Vanquish UHPLC SystemSalicylic acidTrichodermaMetabolomicsCodonopsis pilosulaThermo Scientific Q Exactiveuntargeted analysisCodonopsisMetabolic regulationrootsMethyl jasmonateexperimental sample<p>The 2 μL sample was separated on an HSS T3 chromatographic column (100 mm × 2.1 mm i.d., 1.8 µm) and then detected by mass spectrometry. Mobile phase A consisted of 95% water + 5% acetonitrile (containing 0.1% formic acid), while mobile phase B was composed of 47.5% acetonitrile + 47.5% isopropanol + 5% water (containing 0.1% formic acid). Separation gradient: 0-0.1 min, mobile phase B linearly increased from 0% to 5%; 0.1-2 min, mobile phase B linearly increased from 5% to 25%; 2-9 min, mobile phase B linearly increased from 25% to 100%; 9-13 min, mobile phase B maintained a linear concentration of 100%; 13.0-13.1 min, mobile phase B linearly decreased from 100% to 0%; 13.1-16 min, mobile phase B maintained a linear concentration of 0%. The flow rate was 0.40 mL/min, and the column temperature was maintained at 40°C.</p>Synergistic regulation of Codonopsis pilosula growth and metabolism by Trichoderma, salicylic acid and methyl jasmonate.Thermo Scientific Vanquish UHPLC SystemSalicylic acidTrichodermaMetabolomicsCodonopsis pilosulaThermo Scientific Q Exactiveuntargeted analysisCodonopsisMetabolic regulationrootsMethyl jasmonateexperimental sampleLanzhou University of Technologyæ·é¸¿ é»<p>The mass spectrometry signal acquisition was performed in positive and negative ion scan mode, with a mass scanning range of m/z: 70-1050. Ion spray voltage settings included: positive ion voltage 3500 V, negative ion voltage 2800 V, sheath gas pressure 40 psi, auxiliary heating gas pressure 10 psi, ion source heating temperature 400°C, and cyclic collision energy of 20-40-60 V. MS1 resolution was 70,000, and MS2 resolution was 17,500.</p>falseSynergistic regulation of Codonopsis pilosula growth and metabolism by Trichoderma, salicylic acid and methyl jasmonateEndophytic fungi can mediate salicylic acid (SA)- and methyl jasmonate (MeJA)-related signaling in medicinal plants, thereby influencing metabolite synthesis, stress resistance, and growth development. Experimental groups comprised control, Trichoderma longibrachiatum inoculation (FG), FG+SA (FS), FG+MeJA (FM), FG+SA+MeJA (FSM), and corresponding inhibitor treatments (FSI, FMI, FSMI), with I indicating inhibitor application. Morphological traits, photosynthetic parameters, nitrogen metabolism enzyme activities, antioxidant defense indices, and signaling-related molecules in Codonopsis pilosula were measured at 15, 30 and 50 days. Non-targeted metabolomic analysis was conducted to identify differential metabolites and enriched pathways. The results showed that the FSM treatment markedly promoted root development and biomass accumulation in C. pilosula, increased chlorophyll content and photosynthetic rate, and enhanced antioxidant capacity, as reflected by increased CAT and GR activities. Meanwhile, endogenous SA and JA levels were markedly altered, and nitric oxide (NO) levels exhibited treatment-dependent dynamics, suggesting that NO may participate in broader hormone-associated signaling responses during the Trichoderma–SA/MeJA interaction. Metabolomic analysis revealed that FSM notably regulated steroid and brassinolide biosynthesis pathways, with key metabolites such as 6-deoxotyphasterol upregulated and 4,4-dimethyl-5alpha-cholesta-8,14,24-trien-3beta-ol downregulated. Inhibitor treatments reduced enzyme activities, increased malondialdehyde accumulation, and suppressed growth and photosynthetic efficiency. Overall, the combined SA and MeJA treatment together with fungal inoculation was associated with the strongest promotion of growth and stress resistance in C. pilosula. This study reveals the metabolic reprogramming features of microbe–hormone interactions in medicinal plants and provides theoretical support for the quality cultivation of C. pilosula.2026-04-222026-04-17MTBLS14304