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Leaf senescence is a highly coordinated, complicated process involving the integration of numerous internal and environmental signals. Salicylic acid (SA) and reactive oxygen species (ROS) are two well-defined inducers of leaf senescence whose contents progressively and interdependently increase during leaf senescence via an unknown mechanism. Here, we characterized the transcription factor WRKY75 as a positive regulator of leaf senescence in Arabidopsis thaliana. Knockdown or knockout of WRKY75 delayed age-dependent leaf senescence, while overexpression of WRKY75 accelerated this process. WRKY75 transcription is induced by age, SA, H2O2, and multiple plant hormones. Meanwhile, WRKY75 promotes SA production by inducing the transcription of SA INDUCTION-DEFICIENT2 (SID2) and suppresses H2O2 scavenging, partly by repressing the transcription of CATALASE2 (CAT2). Genetic analysis revealed that the mutation of SID2 or an increase in catalase activity rescued the precocious leaf senescence phenotype evoked by WRKY75 overexpression. Based on these results, we propose a tripartite amplification loop model in which WRKY75, SA, and ROS undergo a gradual but self-sustained rise driven by three interlinking positive feedback loops. This tripartite amplification loop provides a molecular framework connecting upstream signals, such as age and plant hormones, to the downstream regulatory network executed by SA- and H2O2-responsive transcription factors during leaf senescence.

Leaf senescence is the last stage of leaf development and is an orderly biological process accompanied by degradation of macromolecules and nutrient recycling, which contributes to plant fitness. Forward genetic mutant screening and reverse genetic studies of senescence-associated genes (SAGs) have revealed that leaf senescence is a genetically regulated process, and the initiation and progression of leaf senescence are influenced by an array of internal and external factors. Recently, multi-omics techniques have revealed that leaf senescence is subjected to multiple layers of regulation, including chromatin, transcriptional and post-transcriptional, as well as translational and post-translational levels. Although impressive progress has been made in plant senescence research, especially the identification and functional analysis of a large number of SAGs in crop plants, we still have not unraveled the mystery of plant senescence, and there are some urgent scientific questions in this field, such as when plant senescence is initiated and how senescence signals are transmitted. This paper reviews recent advances in the multiple layers of regulation on leaf senescence, especially in post-transcriptional regulation such as alternative splicing.

Callus is a reprogrammed transitional cell mass during plant regeneration. Pluripotent callus cells develop into fertile shoots through de novo shoot organogenesis. This study represents a pioneering effort in exploring the spatial transcriptome of tomato callus during shoot regeneration, using technologies including BGI Stereo-seq, BMKMANU S1000, and 10x Visium. The results indicate that the callus comprises highly heterogeneous cells, classified into various cell types based on spatial gene expression and histological observation, including epidermis, shoot primordium, vascular tissue, inner callus, and outgrowth shoots. The developmental trajectories from shoot primordium to outgrowth shoot are traced, and vascular tissue development is characterized. The single-cell resolution spatial approach reveals the origin of shoot primordia from the sub-epidermis. The spatial full length RNA sequencing shows high incompletely spliced (IS) ratios in the shoot primordium cells. These findings enhance our knowledge of plant organogenesis and highlight the significance of spatial biology in plant research.Competing Interest StatementThe authors have declared no competing interest.

Obtaining micron-thick perovskite films of high quality is key to realizing efficient and stable positive (p)-intrinsic (i)-negative (n) perovskite solar cells 1 , 2 , but it remains a challenge. Here we report an effective method for producing high-quality, micron-thick formamidinium-based perovskite films by forming coherent grain boundaries, in which high-Miller-index-oriented grains grow on the low-Miller-index-oriented grains in a stabilized atmosphere. The resulting micron-thick perovskite films, with enhanced grain boundaries and grains, showed stable material properties and outstanding optoelectronic performances. The small-area solar cells achieved efficiencies of 26.1%. The 1-cm 2 devices and 5 cm × 5 cm mini-modules delivered efficiencies of 24.3% and 21.4%, respectively. The devices processed in a stabilized atmosphere presented a high reproducibility across all four seasons. The encapsulated devices exhibited superior long-term stability under both light and thermal stressors in ambient air. High-quality micron-thick perovskite films with high-Miller-index-oriented grains can be used to achieve high-performance solar cells and modules.

Digital library provides a steady flow of information resources for people on the Internet. Further, the authors need to provide personalized recommendation service to users for a recommendation system of digital library research. In the actual system, the sparseness of actual data has a direct influence on the accuracy of the recommendation results. The present methods only improve the accuracy of the recommendation results in a certain extent, but and they cannot be used to solve the problem of caused by data sparseness. Therefore, to overcome the limitation of previous methods and develop a more robust method, this paper is devoted to a personalized recommendation algorithm based on Gaussian mixture model clustering technique. The research on personalized recommendation has three steps: 1. select probability density function; 2. estimate all the parameters of the Gaussian distribution; and 3. calculate the feature words of users interested and the similarity between index database and books.

A finite element model of rotor-bearing system with two disks was derived. Based on the vibration of journals, the online identification algorithm of the bearing dynamic parameters was studied. The identification of the bearing dynamic parameters of the rotor was validated by numerical simulations. The results will contribute to on-line fault diagnosis based on model.