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Sunflower ( L.) is an important oilseed crop in Northwest China, exhibiting resistance to salt and drought. Mining its excellent tolerance genes can be used for breeding. However, the current platforms for identifying gene function in sunflower is inadequate. The transient transformation system, which can rapidly validate gene function, shows promising prospects in research. In this study, we established an efficient transient expression transformation system for sunflower using three methods: -mediated infiltration, injection, and ultrasonic-vacuum. The detailed procedures were as follows: GV3101 carrying a reporter gene on the pBI121 vector with an OD of 0.8 as the bacterial suspension and 0.02% Silwet L-77 as the surfactant were utilized in all three approaches. For the infiltration method, seedlings grown hydroponically for 3 days were immersed in a bacterial suspension containing 0.02% Silwet L-77 for 2 h; for the injection method, the same solution was injected into the cotyledons of seedlings grown in soil for 4 to 6 days. Subsequently, the seedlings were cultured in the dark at room temperature for three days; for the ultrasonic-vacuum method, seedlings cultured in Petri dishes for 3 days were first subjected to ultrasonication at 40 kHz for 1 min, followed by vacuum infiltration at 0.05 kPa for 5-10 min. -mediated transient transformation efficiency achieved by the three methods exceeded 90%, with gene expression being sustained for at least 6 days. Next, we employed the infiltration-based sunflower transient transformation technology with the stable transformation platform to confirm salt and drought stress tolerance of candidate gene from sunflower responding to various abiotic stresses. Altogether, this study successfully established an -mediated transient transformation system for sunflower using these three methods, which can rapidly identify gene function and explore the molecular mechanisms underlying sunflower's resistance traits.
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http://dx.doi.org/10.3390/plants14152412 | DOI Listing |
Front Mol Biosci
August 2025
Department of Environmental Science, University of Arizona, Tucson, AZ, United States.
Introduction: Peatlands store up to a third of global soil carbon, and in high latitudes their litter inputs are increasing and changing in composition under climate change. Although litter significantly influences peatland carbon and nutrient dynamics by changing the overall lability of peatland organic matter, the physicochemical mechanisms of this impact-and thus its full scope-remain poorly understood.
Methods: We applied multimodal metabolomics (UPLC-HRMS, H NMR) paired with C Stable Isotope-Assisted Metabolomics (SIAM) to track litter carbon and its potential priming effects on both existing soil organic matter and carbon gas emissions.
This paper presents a novel multiscale signal processing framework for power quality disturbance (PQD) and cyber intrusion detection in smart grids, combining Non-Subsampled Contourlet Transform (NSCT), Split Augmented Lagrangian Shrinkage Algorithm (SALSA), and Morphological Component Analysis (MCA). A key innovation lies in an adaptive weighting mechanism within NSCT's directional sub bands, enabling dynamic energy redistribution and enhanced representation of both low-frequency anomalies (e.g.
View Article and Find Full Text PDFLangmuir
September 2025
School of Mechanical Engineering, Dalian Jiaotong University, Dalian 116028, P. R. China.
In engineering applications where extreme environmental conditions are becoming increasingly prevalent, the dynamic behavior of liquid droplets on solid surfaces plays a vital role in determining system efficiency and reliability. Particularly in scenarios such as anti-icing, anticorrosion, and self-cleaning, the fabrication of micro/nanostructured surfaces with exceptional hydrophobic properties has emerged as a critical strategy. However, constrained by the technical limitations of current experimental equipment in microscale observation and the capture of transient droplet impact processes, the influence mechanism of statistical roughness parameters (skewness and kurtosis) on droplet bouncing remains underexplored.
View Article and Find Full Text PDFISA Trans
August 2025
The Key Laboratory of Intelligent Control and Optimization for Industrial Equipment, Ministry of Education, Dalian University of Technology, Dalian, 116024, China. Electronic address:
To enable safety-constrained control of aero-engines under wide-range transient conditions, a novel data-driven diffeomorphic adaptive dynamic programming (ADP) framework is developed to explicitly enforce the state and input safety constraints. The approach begins by employing diffeomorphic transformations coupled with a dynamic control law to effectively eliminate explicit state constraints. This transformation reformulates the original constrained problem into an optimal control framework subject solely to virtual input saturation.
View Article and Find Full Text PDFSci Total Environ
September 2025
Department of Biology, Ecology and Earth Science, University of Calabria, 87036 Rende, Italy. Electronic address:
High-traffic areas generate road dusts (RD) including tyre road wear particles (TRWPs), a significant source of microplastics in the environment. These particles, which persist in sediments, soil, and vegetation, can adsorb pollutants such as heavy metals and hydrocarbons, facilitating their widespread dispersal. Despite concerns about their potential ecotoxicity, their effects on soil organisms remain underexplored.
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