A novel mechanism of light regulating the development of Botrytis cinerea
Peer-Reviewed Publication
Updates every hour. Last Updated: 5-Nov-2025 02:11 ET (5-Nov-2025 07:11 GMT/UTC)
A research paper just published in Science China Life Sciences reports that Bcmads1 and BcAMT1 synergistic regulation of the balance between asexual development and sexual reproduction of Botrytis cinerea by affecting the accumulation of N-vanillylnonanamide, thereby providing a regulatory mechanism by which fungi adapt their development to changing light environment.
Flowering Chinese cabbage, a staple leafy vegetable across Asia, has undergone decades of breeding to improve adaptability, productivity, and quality.
Innovative use of HfO2-based high-dielectric-permittivity materials could enable their integration into few-nanometre-scale devices for storing substantial quantities of electrical charges, which have received widespread applications in high-storage-density dynamic random access memory and energy-efficient complementary metal–oxide–semiconductor devices. During bipolar high electric-field cycling in numbers close to dielectric breakdown, the dielectric permittivity suddenly increases by 30 times after oxygen-vacancy ordering and ferroelectric-to-nonferroelectric phase transition of near-edge plasma-treated Hf0.5Zr0.5O2 thin-film capacitors. Here we report a much higher dielectric permittivity of 1466 during downscaling of the capacitor into the diameter of 3.85 μm when the ferroelectricity suddenly disappears without high-field cycling. The stored charge density is as high as 183 μC cm-2 at an operating voltage/time of 1.2 V/50 ns at cycle numbers of more than 1012 without inducing dielectric breakdown. The study of synchrotron X-ray micro-diffraction patterns show missing of a mixed tetragonal phase. The image of electron energy loss spectroscopy shows the preferred oxygen-vacancy accumulation at the regions near top/bottom electrodes as well as grain boundaries. The ultrahigh dielectric-permittivity material enables high-density integration of extremely scaled logic and memory devices in the future.
Developing biomass platform compounds into high value-added chemicals is a key step in renewable resource utilization. Herein, we report porous carbon-supported Ni-ZnO nanoparticles catalyst (Ni-ZnO/AC) synthesized via low-temperature coprecipitation, exhibiting excellent performance for the selective hydrogenation of 5-hydroxymethylfurfural (HMF). A linear correlation is first observed between solvent polarity (ET(30)) and product selectivity within both polar aprotic and protic solvent classes, suggesting that solvent properties play a vital role in directing reaction pathways. Among these, 1,4-dioxane (aprotic) favors the formation of 2,5-bis(hydroxymethyl)furan (BHMF) with 97.5% selectivity, while isopropanol (iPrOH, protic) promotes 2,5-dimethylfuran production with up to 99.5% selectivity. Mechanistic investigations further reveal that beyond polarity, proton-donating ability is critical in facilitating hydrodeoxygenation. iPrOH enables a hydrogen shuttle mechanism where protons assist in hydroxyl group removal, lowering the activation barrier. In contrast, 1,4-dioxane, lacking hydrogen bond donors, stabilizes BHMF and hinders further conversion. Density functional theory calculations confirm a lower activation energy in iPrOH (0.60 eV) compared to 1,4-dioxane (1.07 eV). This work offers mechanistic insights and a practical strategy for solvent-mediated control of product selectivity in biomass hydrogenation, highlighting the decisive role of solvent-catalyst-substrate interactions.
A research team has developed a powerful unsupervised deep learning network that can accurately separate wood and leaf components in 3D point clouds of trees—without the need for labor-intensive data labeling.
A research team has developed an innovative three-dimensional (3D) tree modeling method that dramatically improves accuracy in estimating tree structure and volume.
A research team introduces the constrained PROSAIL-PRO spectra matching (CPSM) approach, which transforms unmanned aerial vehicle (UAV) multispectral data into hyperspectral-like signals spanning 400–2500 nm.
Sodium-ion batteries (SIBs) have long been hailed as a cost-effective alternative to lithium-ion batteries, but their performance has been hindered by inefficiencies in the anode material. A new study introduces an innovative approach to improving hard carbon (HC) anodes, which are vital for SIBs. By manipulating the interfacial chemistry of HC through an in situ coupling strategy, researchers have enhanced sodium ion transport and boosted both the storage capacity and rate capability of HC anodes. This breakthrough could be the key to unlocking the full potential of SIBs, making them a viable option for large-scale energy storage and electric vehicles.
A research team has developed FreezeNet, a lightweight deep learning model that uses smartphone-captured images to accurately assess freeze injury in wheat seedlings.
A research team has combined magnetic resonance imaging (MRI) and positron emission tomography (PET) to non-invasively track how the sugar beet disease known as syndrome “basses richesses” (SBR) damages taproot structure and disrupts sugar distribution.