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Antimicrobial peptides (AMPs) may be the most promising substitute for antibiotics due to their effective antimicrobial activities and multiple function mechanisms against pathogenic microorganisms. In this study, a novel AMP containing 51 amino acids, named Lc1687, was screened from the large yellow croaker ( Larimichthys crocea ) via a B. subtilis system. Bioinformatics and circular dichroism (CD) analyses showed that Lc1687 is a novel anionic amphiphilic α-helical peptide, which was derived from the C-terminal of a Ferritin heavy subunit. The recombinant Lc1687 (named rLc1687) purified from Escherichia coli exhibited strong activities against Gram-positive (Gram+) bacterium Staphylococcus aureus , Gram-negative (Gram-) bacteria Vibrio vulnificus, V. parahaemolyticus , and Scuticociliatida . Scanning electron microscope (SEM) and transmission electron microscopy (TEM) revealed the possible function mechanisms of this peptide, which is to target and disrupt the bacterial cell membranes, including pore-forming, loss of fimbriae, and cytoplasm overflow, whereas gel retardation assay revealed that peptide Lc1687 cannot bind bacterial DNA. The peptide stability analysis showed that rLc1687 acts as a stable antimicrobial agent against Gram+ and Gram- bacteria at temperatures ranging from 25 to 100°C, pH 3-12, and UV radiation time ranging from 15 to 60 min. A hemolytic activity assay confirmed that this peptide may serve as a potential source for clinical medicine development. Taken together, Lc1687 is a novel AMP as it is a firstly confirmed Ferritin fragment with antimicrobial activity. It is also a promising agent for the development of peptide-based antibacterial and anti-parasitic therapy.

Wildlife feces are a valuable noninvasive resource in ecological and conservation research. However, traditional preservation methods are unable to maintain morphological integrity while simultaneously preserving the biological and chemical composition of fecal samples. This study introduces a novel method for the preparation of fecal specimens through a multistep infiltrated process using sodium carboxymethyl cellulose, sodium benzoate, clotrimazole, ethanol, pyrethroid emulsion, and polyvinylpyrrolidone solution. The entire procedure takes approximately 7 days to complete one batch of specimens. The specimens produced using this method exhibited high mechanical strength, ensuring durability and resistance to handling damage. Over an 18‐month storage period, the preserved specimens retained their external morphology and showed no signs of mold or insect damage. DNA integrity was well maintained, with a 100% success rate in DNA extraction, and species identification based on preserved specimens was identical to that obtained from the corresponding pre‐preservation feces. Furthermore, heavy metals such as chromium, arsenic, and lead were successfully detected in fecal samples from different species. By allowing long‐term preservation of fecal samples, this method converts feces from a transient diagnostic tool into a durable resource for monitoring biodiversity. It can broaden the spatial and temporal applicability of fecal samples and strengthen their role in ecological research and biodiversity conservation. This study introduces a novel multistep immersion method to preserve wildlife fecal samples, maintaining morphological integrity, DNA stability (100% extraction success, > 99% BLAST match rates), and resistance to mold/insect damage for 6 months. The technique also enables heavy metal detection, transforming feces into a durable resource for long‐term ecological monitoring and biodiversity conservation across spatiotemporal scales.

Steel slag aggregate (SSA), as a high-performance and sustainable material, has demonstrated significant potential in enhancing the mechanical properties of concrete and improving the bond behavior between reinforcement and the concrete matrix, thereby contributing to the seismic resilience of steel slag concrete columns (SSCCs). Nevertheless, the underlying mechanism through which SSA influences the seismic performance of SSCCs remains insufficiently understood, and current analytical models fail to accurately capture the effects of bond strength on structural behavior. In this study, a comprehensive experimental program comprising central pull-out tests and quasi-static cyclic loading tests was conducted to investigate the influence of SSA on bond strength and the seismic response of SSCCs. Key seismic performance indicators, including the hysteresis curve, equivalent viscous damping ratio, and ductility coefficient, were evaluated. The role of bond strength in governing energy dissipation and ductility characteristics was elucidated in detail. The results indicate that bond strength significantly affects the seismic performance of SSCC components. At an SSA replacement ratio of 40%, the specimens show optimal performance: energy dissipation capacity increases by 11.3%, bond–slip deformation in the plastic hinge region decreases by 10%, and flexural deformation capacity improves by 9% compared to the control group. However, when the SSA replacement exceeds 60%, the performance metrics are similar to those of ordinary concrete, showing no significant advantages. Based on the experimental findings, a modified bond–slip constitutive model for the steel slag concrete–reinforcement interface is proposed. Furthermore, a finite element model incorporating bond–slip effects is developed, and its numerical predictions exhibit strong agreement with the experimental results, effectively capturing the lateral load-carrying capacity and stiffness degradation behavior of SSCCs.

As a member of the Chinese modeling groups, the coupled ocean-ice component of the Chinese Academy of Sciences’ Earth System Model, version 2.0 (CAS-ESM2.0), is taking part in the Ocean Model Intercomparison Project Phase 1 (OMIP1) experiment of phase 6 of the Coupled Model Intercomparison Project (CMIP6). The simulation was conducted, and monthly outputs have been published on the ESGF (Earth System Grid Federation) data server. In this paper, the experimental dataset is introduced, and the preliminary performances of the ocean model in simulating the global ocean temperature, salinity, sea surface temperature, sea surface salinity, sea surface height, sea ice, and Atlantic Meridional Overturning Circulation (AMOC) are evaluated. The results show that the model is at quasi-equilibrium during the integration of 372 years, and performances of the model are reasonable compared with observations. This dataset is ready to be downloaded and used by the community in related research, e.g., multi-ocean-sea-ice model performance evaluation and interannual variation in oceans driven by prescribed atmospheric forcing.

High temperature stress poses a significant threat to the normal growth of maize seedlings, and key heat-resistant gene mining is the molecular basis for breeding new heat-resistant maize varieties. Through transcriptome sequencing of heat-tolerant hybrid ZD819 and its parental lines (ZD819-F, ZD819-M) under high-temperature stress, we identified 12 HSF (Heat shock transcription factors, HSFs) transcription factors from 12,442 differentially expressed genes. The results indicate that the maize hybrid ZD819 has stronger heat tolerance compared to its parent varieties (ZD819-F, ZD819-M). Transcriptome data identified 12 HSFs transcription factors, among which ZmHSF10 had the highest differential expression fold of 1279.40 before and after high-temperature treatment. The heat tolerance function of ZmHSF10 was studied by creating Arabidopsis thaliana materials overexpressing ZmHSF10 and obtaining ZmHSF10 silenced maize materials using VIGS technology. Genetic experiments have shown that overexpression of ZmHSF10 can stabilize the cell membrane stability of Arabidopsis plants under high temperature stress and improve their survival rate under high temperature treatment. Reducing the expression level of ZmHSF10 leads to a decrease in chlorophyll content, poor cell membrane stability, and lower relative water content in maize leaves under high temperature stress. These results preliminarily demonstrate that ZmHSF10 plays an important role in regulating heat tolerance in plants, providing genetic resources for enhancing heat tolerance in maize seedlings.

Background Loropetalum chinense var. rubrum (L. chinense var. rubrum) is a precious, coloured-leaf native ornamental plant in the Hunan Province. We found an L. chinense var. rubrum tree with three different leaf colours: GL (green leaf), ML (mosaic leaf), and PL (purple leaf). The mechanism of leaf coloration in this plant is still unclear. Therefore, this study aimed to identify the metabolites and genes involved in determining the colour composition of L. chinense var. rubrum leaves, using phenotypic/anatomic observations, pigment content detection, and comparative metabolomics and transcriptomics. Results We observed that the mesophyll cells in PL were purple, while those in GL were green and those in ML were a mix of purple-green. The contents of chlorophyll a, b, carotenoids, and total chlorophyll in PL and ML were significantly lower than those in GL. While the anthocyanin content in PL and ML was significantly higher than that in GL. The metabolomics results showed the differences in the content of cyanidin 3- O -glucoside, delphinidin 3- O -glucoside, cyanidin 3,5- O -diglucoside, pelargonidin, and petunidin 3,5-diglucoside in ML, GL, and PL were significant. Considering that the change trend of anthocyanin content change was consistent with the leaf colour difference, we speculated that these compounds might influence the colour of L. chinense var. rubrum leaves. Using transcriptomics, we finally identified nine differentially expressed structural genes (one ANR ( ANR1217 ); four CYP75A s ( CYP75A 1815, CYP75A 2846, CYP75A 2909, and CYP75A 1716); four UFGT s ( UFGT 1876, UFGT 1649, UFGT 1839, and UFGT 3273) and nine transcription factors (two MYB s ( MYB 1057 and MYB 1211), one MADS-box ( MADS 1235), two AP2-likes ( AP2-like 1779 and AP2-like2 234), one bZIP ( bZIP 3720), two WD 40s ( WD 2173 and WD 1867) and one bHLH ( bHLH 1631) that might be related to flavonoid biosynthesis and then impacted the appearance of colour in L. chinense var. rubrum leaves. Conclusion This study revealed potential molecular mechanisms associated with leaf coloration in L. chinense var. rubrum by analyzing differential metabolites and genes related to the anthocyanin biosynthesis pathway. It also provided a reference for research on leaf colour variation in other ornamental plants.

The second version of the Chinese Academy of Sciences Earth System Model (CAS-ESM2.0) is participating in the Flux-Anomaly-Forced Model Intercomparison Project (FAFMIP) experiments in phase 6 of the Coupled Model Intercomparison Project (CMIP6). The purpose of FAFMIP is to understand and reduce the uncertainty of ocean climate changes in response to increased CO 2 forcing in atmosphere-ocean general circulation models (AOGCMs), including the simulations of ocean heat content (OHC) change, ocean circulation change, and sea level rise due to thermal expansion. FAFMIP experiments (including faf-heat, faf-stress, faf-water, faf-all, faf-passiveheat, faf-heat-NA50pct and faf-heat-NA0ct) have been conducted. All of the experiments were integrated over a 70-year period and the corresponding data have been uploaded to the Earth System Grid Federation data server for CMIP6 users to download. This paper describes the experimental design and model datasets and evaluates the preliminary results of CAS-ESM2.0 simulations of ocean climate changes in the FAFMIP experiments. The simulations of the changes in global ocean temperature, Atlantic Meridional Overturning Circulation (AMOC), OHC., and dynamic sea level (DSL), are all reasonably reproduced.

The ventral tegmental area (VTA) is less affected compared to substantia nigra pars compacta (SNc) in Parkinson's disease (PD). This study aimed to quantitatively evaluate iron content in the VTA across different stages of PD in order to help explain the selective loss of dopamine neurons in PD. Quantitative susceptibility mapping (QSM) data were obtained from 101 PD patients, 35 idiopathic rapid eye movement sleep behavior disorder (RBD) patients, and 62 healthy controls (HCs). The mean QSM values in the VTA and SNc were calculated and compared among the groups. Both RBD and PD patients had increased iron values in the bilateral SNc compared with HCs. RBD and PD patients in the Hoehn-Yahr (H & Y) stage 1 did not show elevated iron values in the VTA, while PD patients with more than 1.5 H & Y staging had increased iron values in bilateral VTA compared to HCs. This study shows that there is no increased iron accumulation in the VTA during the prodromal and early clinical stages of PD, but iron deposition increases significantly as the disease becomes more severe.

Low temperature affects the rice plants at all stages of growth. It can cause severe seedling injury and male sterility resulting in severe yield losses. Using a mini core collection of 174 Chinese rice accessions and 273 SSR markers we investigated cold tolerance at the germination and booting stages, as well as the underlying genetic bases, by association mapping. Two distinct populations, corresponding to subspecies indica and japonica showed evident differences in cold tolerance and its genetic basis. Both subspecies were sensitive to cold stress at both growth stages. However, japonica was more tolerant than indica at all stages as measured by seedling survival and seed setting. There was a low correlation in cold tolerance between the germination and booting stages. Fifty one quantitative trait loci (QTLs) for cold tolerance were dispersed across all 12 chromosomes; 22 detected at the germination stage and 33 at the booting stage. Eight QTLs were identified by at least two of four measures. About 46% of the QTLs represented new loci. The only QTL shared between indica and japonica for the same measure was qLTSSvR6-2 for SSvR. This implied a complicated mechanism of old tolerance between the two subspecies. According to the relative genotypic effect (RGE) of each genotype for each QTL, we detected 18 positive genotypes and 21 negative genotypes in indica, and 19 positive genotypes and 24 negative genotypes in japonica. In general, the negative effects were much stronger than the positive effects in both subspecies. Markers for QTL with positive effects in one subspecies were shown to be effective for selection of cold tolerance in that subspecies, but not in the other subspecies. QTL with strong negative effects on cold tolerance should be avoided during MAS breeding so as to not cancel the effect of favorable QTL at other loci.

Sustainable agricultural intensification requires innovative approaches to simultaneously enhance productivity and mitigate environmental impacts—a challenge critical to global food security and climate change mitigation. The traditional fertilization system, with a single application of nitrogen fertilizer, while effective for crop yields, often leads to soil organic carbon (SOC) depletion, whereas green manure systems offer a dual benefit of nitrogen supply and SOC sequestration potential. However, the mechanisms by which green manure substitution enhances soil carbon sequestration (SCS) remain systematically underexplored in comparison to chemical fertilization. This review systematically examines (1) the mechanisms underlying SOC sequestration, (2) SOC losses associated with traditional fertilization practices, and (3) the theoretical foundation and practical applications of green manure as a nitrogen fertilizer substitute. We provide an in-depth analysis of the mechanisms through which green manure substitution drives SCS. Furthermore, we identify three critical areas for future investigation: (i) optimization of green manure management strategies to enhance SCS efficiency; (ii) comprehensive assessment of green manure’s ecological benefits through long-term, multi-scale studies; and (iii) evaluation of green manure’s climate change adaptation capacity and carbon sequestration potential across diverse climatic scenarios. These findings fundamentally advance our understanding of green manure’s role in sustainable agriculture by establishing its dual function as both a nitrogen source and carbon sequestration driver. In addition, these insights have immediate relevance for agricultural policy and practice, particularly in regions where soil health and carbon storage are prioritized alongside crop yield.