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Background: Limitation of plant productivity by phosphorus (P) supply is widespread and will probably increase in the future. Relatively large amounts of P fertilizer are applied to sustain crop growth and development and to achieve high yields. However, with increasing P application, plant P efficiency generally declines, which results in greater losses of P to the environment with detrimental consequences for ecosystems.
Scope: A strategy for reducing P input and environmental losses while maintaining or increasing plant performance is the development of crops that take up P effectively from the soil (P acquisition efficiency) or promote productivity per unit of P taken up (P utilization efficiency). In this review, we describe current research on P metabolism and transport and its relevance for improving P utilization efficiency.
Conclusions: Enhanced P utilization efficiency can be achieved by optimal partitioning of cellular P and distributing P effectively between tissues, allowing maximum growth and biomass of harvestable plant parts. Knowledge of the mechanisms involved could help design and breed crops with greater P utilization efficiency.
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http://dx.doi.org/10.1093/aob/mcab145 | DOI Listing |
Pest Manag Sci
September 2025
School of Life Sciences, Genetic Engineering Research Center, Chongqing University, Chongqing, China.
Background: Entomopathogenic fungi show great potential as biological control agents for managing insect pests. However, host defenses have limited the effectiveness of these fungi in practice. Utilizing genetic engineering-based technology could be a promising strategy to enhance the killing efficiency of these fungi against insect pests.
View Article and Find Full Text PDFInt J Phytoremediation
September 2025
Department of Environmental Engineering, Faculty of Engineering and Architecture, Nevsehir Haci Bektas Veli University, Nevsehir, Turkey.
The green synthesis method is a significant approach that offers several advantages, including simplicity, rapidity, and cost-effectiveness in the synthesis of nanoparticles. Iron nanoparticles were synthesized in this work using waste banana peel extract as a capping and reducing agent. The produced nanoparticles were then subjected to a number of characterization procedures, such as Raman spectroscopy, X-ray diffractometry (XRD), zeta potential analysis, Fourier transform infrared (FT-IR) spectroscopy, ultraviolet-visible (UV-VIS) absorption spectroscopy, field scanning electron microscopy (FE-SEM), energy dispersive X-ray analysis (EDX), and thermogravimetric analysis (TGA).
View Article and Find Full Text PDFDrug Deliv Transl Res
September 2025
Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, 300044, Taiwan.
The three-dimensional (3D) culture system has emerged as an indispensable platform for modulating stem cell function in biomedicine, drug screening, and cell therapy. Despite a few studies confirming the functionality of 3D culture, the molecular factors underlying this process remain obscure. Here, we have utilized a hanging drop method to generate 3D spheroid-derived mesenchymal stem cells (3D MSCs) and compared them to conventionally 2D-cultured MSCs.
View Article and Find Full Text PDFEnviron Res
September 2025
Guangdong Education Department Key Laboratory of Resources Comprehensive Utilization and Cleaner Production, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou, 510006, China.
Catalytic pyrolysis, an efficient thermochemical process, offers a promising pathway to valorize thermoset photovoltaic backsheets (TPV) into high-value chemicals. This study investigates the ex situ catalytic pyrolysis of TPV using two acidic catalysts, ZSM-5 and FeNi-ZSM-5, under varied operational conditions, with a focus on product distribution and process efficiency. The catalytic intervention significantly enhanced pyrolysis performance.
View Article and Find Full Text PDFAnal Biochem
September 2025
School of Computer Science and Engineering, Southeast University, Nanjing 210000, China.
In the complex process of gene expression and regulation, RNA-binding proteins occupy a pivotal position for RNA. Accurate prediction of RNA-protein binding sites can help researchers better understand RNA-binding proteins and their related mechanisms. And prediction techniques based on machine learning algorithms are both cost-effective and efficient in identifying these binding sites.
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