MetaboLights

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Mass tolerance was set to 100 ppm for precursor ions and 50 ppm for fragment ions.MetaboLightsPublicLiquid Chromatography MS - negative - reverse-phaseLiquid Chromatography MS - positive - reverse-phaseThe LC-MS system consisted of a Waters Acquity I-Class PLUS ultra-high performance liquid chromatography system coupled to a Waters Xevo G2-XS QTOF mass spectrometer. Chromatographic separation was performed on a Waters Acquity UPLC HSS T3 column (1.8 μm, 2.1 × 100 mm). The mobile phase comprised solvent A (0.1% formic acid in water) and solvent B (0.1% formic acid in acetonitrile). The flow rate was 400 μL/min, the injection volume was 1 μL, and the column temperature was maintained at ambient temperature. The gradient elution program was as follows: 0–0.25 min, 98% A and 2% B; 0.25–10.00 min, linear gradient from 98% A and 2% B to 2% A and 98% B; 10.00–13.00 min, maintained at 2% A and 98% B; 13.00–13.10 min, returned to 98% A and 2% B; 13.10–15.00 min, re-equilibrated at 98% A and 2% B.Rhizosphere microorganism and leaf metabolomics explain the adaption and habitat heterogeneity of two Zoysia species from the Yellow River Delta.University of Jinanchunming Gaoleafmass spectrometry assayFifty milligrams of frozen leaf tissue were mixed with 1000 μL of extraction solution (methanol/acetonitrile/water = 2:2:1, v/v/v) containing 20 mg/L L-2-chlorophenylalanine as internal standard. The mixture was vortexed for 30 s, homogenized using a tissue grinder at 45 Hz for 10 min, ultrasonicated in an ice-water bath for 10 min, and then incubated at −20 °C for 1 h. After centrifugation at 12,000 × g for 15 min at 4 °C, 500 μL of supernatant was transferred to a fresh tube. The extract was vacuum-dried and re-dissolved in 160 μL of acetonitrile/water (1:1, v/v). The re-dissolved solution was vortexed for 30 s, ultrasonicated in an ice-water bath for 10 min, and centrifuged at 12,000 × g for 15 min at 4 °C. A quality control (QC) sample was prepared by pooling an equal volume (10 μL) of each sample extract. A solvent blank was prepared by taking 1000 μL of the extraction solution containing internal standard without any plant tissue, and processed through the same steps as the biological samples.Zoysia macrostachyaZoysia sinicahttps://www.ebi.ac.uk/metabolights/MTBLS15027chunming Gao. University of Jinan. bio_gaocm@ujn.edu.cn.Raw data acquired by MassLynx V4.2 were processed using Progenesis QI software for peak extraction, alignment, and other data processing operations. Metabolite identification was performed based on theoretical fragment identification and matching against the online METLIN database, public databases, and the BMK in-house database. Mass tolerance was set to 100 ppm for precursor ions and 50 ppm for fragment ions.Speciesbio_gaocm@ujn.edu.cnLeaf samples were collected from natural populations of Zoysia macrostachya and Zoysia sinica growing in distinct microhabitats (coastal saline shell ridges vs. hilly regions) in the Yellow River Delta, China. No artificial treatments were applied; the differential saline-alkaline stress between the two microhabitats served as the natural experimental contrast. All samples were harvested during the same growth stage in July 2022. Immediately after excision, the leaves were frozen in liquid nitrogen and subsequently stored at −80 °C until metabolite extraction.MetabolomicsMetabolomicsQCmetabolomics, plant physiology, microbial ecologyACQUITY UPLC I-Class PLUSuntargeted analysisBiomarker Technologies Co., Ltd. (Beijing, China)Xevo G2-XS QTofZoysia macrostachyaZoysia sinicaProgenesis QI; MassLynx V4.2; R v4.3.1; MetaboAnalystleafsampleMetabolomicsQCmetabolomics, plant physiology, microbial ecologyACQUITY UPLC I-Class PLUSuntargeted analysisBiomarker Technologies Co., Ltd. (Beijing, China)Zoysia sinicaXevo G2-XS QTofZoysia macrostachyaProgenesis QI; MassLynx V4.2; R v4.3.1; MetaboAnalystleafsampleMass spectrometry was performed using a Waters Xevo G2-XS QTOF mass spectrometer equipped with an electrospray ionization (ESI) source. Data were acquired in MSe mode using MassLynx V4.2 software, which simultaneously collects low-energy and high-energy collision data in a single run. The low collision energy was set to 2 V, and the high collision energy was ramped from 10 to 40 V. The scan frequency was 0.2 s per spectrum over a mass range of m/z 50–1200. The ESI source parameters were as follows: capillary voltage, 2.5 kV in positive ion mode and −2.0 kV in negative ion mode; cone voltage, 30 V; source temperature, 100 °C; desolvation temperature, 500 °C; cone gas flow, 50 L/h; and desolvation gas flow, 800 L/h.falseRhizosphere microorganism and leaf metabolomics explain the adaption and habitat heterogeneity of two Zoysia species from the Yellow River DeltaThis study investigates the metabolic responses of two Zoysia species (Z. macrostachya and Z. sinica) adapted to distinct microhabitats in the Yellow River Delta. Leaf samples were collected from natural populations growing under different saline-alkaline conditions. Untargeted metabolomics was performed using LC-MS in both positive and negative ion modes to profile the metabolite composition. The results revealed significant differences in key metabolic pathways, including tryptophan metabolism, flavonoid biosynthesis, and phenylpropanoid metabolism, between the two species, providing insights into their differential adaptation to saline-alkaline stress.2026-07-132026-07-13MTBLS15027