Search Results (122)

Background/Objective: Cinnamaldehyde (CA) is a naturally occurring bioactive compound derived from the leaves, bark, roots, and flowers of the Chinese medicinal plant Cinnamomum cassia. It exhibits a broad spectrum of pharmacological properties, encompassing antioxidant, antibacterial, anti-diabetic, antifungal, and anticancer activities. Notably, it has shown potential therapeutic benefits in the management of type 2 diabetes mellitus (T2DM) and non-alcoholic fatty liver disease (NAFLD). Ochratoxin A (OTA), a common contaminant found in foods such as cereals, coffee, and raisins, is also present in traditional Chinese medicinal materials, including Astragalus and liquorice. T2DM and NAFLD share intertwined pathophysiological pathways, including insulin resistance, dyslipidaemia, chronic low-grade inflammation and oxidative stress, with insulin resistance serving as the common pathological hub for both conditions. Consequently, they frequently co-occur and exacerbate each other. OTA exerts dual-targeted toxicity to the pancreas and liver, which may synergistically drive the development of the comorbidity of T2DM and NAFLD. These two processes are mutually causal and together constitute the pathological basis of metabolic comorbidity. Methods: Network toxicology employs toxicological data, gene expression, and protein–protein interaction (PPI) networks to predict the targets of toxins, while network pharmacology, based on systems biology principles, reveals how drugs exert regulatory effects through multiple targets and pathways. In this study, we employed an integrated network toxicology and network pharmacology approach to jointly decipher the potential mechanisms by which CA intervenes in OTA-induced comorbid T2DM-NAFLD. First, a network toxicology approach was employed to preliminarily screen for core toxicological targets responsible for OTA’s pathogenicity. Subsequently, network pharmacology was used to identify potential targets of CA-mediated intervention in the disease. Finally, the common overlap among the CA intervention targets, OTA toxicity targets, and disease targets was defined as the final set of potential targets for CA-mediated intervention in OTA-induced T2DM-NAFLD comorbidity. A PPI network was constructed using the STRING database, and topological analysis was performed with Cytoscape. Core targets were selected using the median values of six parameters—betweenness centrality, closeness centrality, degree centrality, eigenvector centrality, LAC (local average connectivity) score, and network centrality—as cut-off thresholds, and the top 10 key genes were further identified using the cytoHubba plugin. Gene Ontology (GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted via the DAVID database, and the results were visualized on the CNSknowall platform. Lastly, molecular docking of the core targets was performed using the CB-DOCK2 platform to validate binding affinity. Results: Based on an integrated analysis of network toxicology, network pharmacology, and molecular docking, 10 key targets were systematically identified. These may serve as potential mediators of cinnamaldehyde in the treatment of OTA-induced T2DM-NAFLD comorbidity. Among these, six targets—albumin (ALB), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), interleukin-6 (IL-6), tumor necrosis factor (TNF), actin beta (ACTB), and estrogen receptor 1 (ESR1)—possess crystal structures amenable to molecular docking. KEGG enrichment analysis revealed that CA and OTA jointly participate in key pathological processes such as the cancer pathway, the lipid and atherosclerosis pathway, the advanced glycation end-products–receptor for advanced glycation end-products (AGE-RAGE) signaling pathway, the phosphatidylinositol 3-kinase–protein kinase B (PI3K-Akt) signaling pathway, the TNF signaling pathway, and the interleukin-17 (IL-17) signaling pathway. OTA exacerbates inflammatory responses, impairs insulin signaling, promotes hepatic steatosis, and disrupts systemic metabolic homeostasis, ultimately contributing to T2DM-NAFLD comorbidity. Conversely, cinnamaldehyde counteracts these pathological processes through multiple mechanisms, including antioxidant and anti-inflammatory effects as well as regulation of glucose and lipid metabolism, thereby restoring metabolic homeostasis. Conclusions: This study has preliminarily identified the toxicological targets of OTA and the potential intervention targets of CA, offering new avenues for preventing and intervening in OTA-induced metabolic toxicity. Furthermore, it provides a theoretical basis for CA as a potential multi-target therapeutic agent and presents novel insights worthy of further investigation into the prevention of T2DM-NAFLD comorbidity. Full article

The TIFY gene family comprises plant-specific transcriptional regulators central to jasmonic acid (JA) signaling and responses to biotic and abiotic stresses. Despite the economic importance of the banana (Musa spp.), the TIFY family remains largely uncharacterized in this crop. Here, we conducted a genome-wide identification and comprehensive analysis of the MaTIFY gene family in Musa acuminata. A total of 47 MaTIFY genes were identified, distributed across all 11 chromosomes. Phylogenetic analysis classified these into four subfamilies (TIFY, ZIZ/ZML, PPD, and JAZ), and conserved motif and domain analyses revealed a core TIFY domain architecture with subfamily-specific structural features. Gene Ontology (GO) enrichment and cis-acting regulatory element analyses suggested potential involvement in JA-mediated signaling, defense response, and hormone cross-talk. Expression profiling under drought, Fusarium oxysporum f. sp. cubense race 4 (Foc 4), and cold stress revealed distinct transcriptional responses, with MaTIFY5, MaTIFY16, MaTIFY20, MaTIFY26, and MaTIFY30 exhibiting enhanced induction in resistant cultivars compared to their susceptible counterparts. Functional characterization of MaTIFY20 confirmed its significant upregulation under drought stress and its ability to confer enhanced osmotic tolerance when heterologously expressed in yeast. These findings provide novel insights into the evolutionary dynamics and stress-responsive functions of banana TIFY genes and identify candidate targets for molecular breeding to improve abiotic and biotic stress resilience in banana. Full article

GDSL esterase/lipases (GELPs) are important regulators of plant growth and development, lipid metabolism, and stress responses. However, their genomic characteristics and expression patterns have not been systematically characterized for Juglans mandshurica, a woody oil crop species of significant ecological and economic value. Here, we identified 61 JmGELP genes in J. mandshurica through genome-wide analysis. Phylogenetic analysis classified them into seven major clades, and variations in gene structure and conserved motifs suggested potential functional divergence. Promoter cis-acting element analysis revealed widespread enrichment of motifs responsive to light, phytohormones, and abiotic stresses. Transcriptomic sequencing and qRT-PCR validation revealed distinct tissue-specific and seed development stage-specific expression patterns of JmGELP members, as well as their differential responses to various stress and hormone treatments. Gene Ontology (GO) annotation and protein–protein interaction (PPI) network analyses further supported their involvement in lipid metabolism. In silico analyses of transcription factor binding sites, miRNA targets, and molecular docking predicted that JmGELP-3, -38, and -41 have distinct transcriptional and post-transcriptional regulatory networks and potentially divergent substrate preferences. This study provides the first comprehensive characterization of the GELP family in J. mandshurica, identifying candidate genes that may inform future germplasm improvement and stress-resistance breeding in Juglans species. Full article

Soybean (Glycine max) is an important model crop for studying plant functional genes, such as the NAC transcription factor (TF) gene family. The NAC transcription factor (TF) family is one of the largest plant-specific TF families and plays critical roles in plant growth, development, and stress responses. In this study, we performed a pan-genome-wide analysis of NAC genes using 29 soybean genomes. A total of 5051 NAC genes were identified and clustered into 245 orthologous gene groups (OGGs), including 58 core, 88 soft-core, 32 shell, and 67 cloud groups. Based on phylogenetic relationships, the representative NAC OGGs were assigned to 18 subfamilies, 17 of which contained soybean NAC genes. Gene duplication analysis indicated that whole-genome duplication (WGD)/segmental duplication was the predominant driver of NAC family expansion, accounting for 90.88% of duplication events. Approximately 39.30% of NAC genes carried at least one intact transposable element (TE) within 2 kb upstream or downstream regions. NAC genes with copy number variation (CNV) harbored more nearby TEs than non-CNV genes (1.54 vs. 1.31 TEs per gene), and dispensable NAC genes contained more nearby TEs than core NAC genes (1.59 vs. 1.33 TEs per gene). These results indicate a significant association between local TE abundance and NAC gene CNV or dispensability. Selection pressure analysis showed that dispensable NAC genes had higher Ka, Ks, and Ka/Ks values than core genes, suggesting relatively relaxed evolutionary constraints. Expression profiling across six tissues revealed distinct transcriptional patterns among NAC subfamilies. Structurally conserved subfamilies generally showed broader expression, whereas structurally divergent subfamilies displayed greater expression variability. Regulatory network and Gene Ontology (GO) enrichment analyses suggested that conserved subfamilies were mainly associated with stress responses, while divergent subfamilies were related to cell wall regulation, signal transduction, and ion homeostasis. Further analysis of Wm82 drought RNA-seq data prioritized several putative drought-responsive NAC candidates, including Glyma.16G043200, Glyma.06G248900, Glyma.07G050600, Glyma.12G206900, and Glyma.18G261300. Overall, these findings elucidate the mechanisms of expansion and the functional divergence of the NAC gene family at the soybean pan-genome level, providing a theoretical basis for understanding NAC gene evolution and facilitating future crop improvement. Full article

Maize is one of the most widely cultivated crops worldwide and is extensively used for animal feed and industrial applications. Plant height (PH) and ear height (EH) are critical determinants of lodging resistance and tolerance to high planting density, and coordinated regulation of these traits is essential for yield improvement. In this study, 479 maize inbred lines from Northeast and North China were genotyped using 7861 single-nucleotide polymorphism (SNP) markers to perform a genome-wide association study (GWAS). After controlling for population structure and relatedness, the mixed linear model (MLM) identified 20 loci significantly associated with PH on chromosomes 2, 4, 5, 6, 7, and 8, and 8 loci associated with EH on chromosomes 2, 3, 4, and 7. A total of 23 candidate genes were identified, including PLATZ8, pectin methylesterase 36, and leucine-rich repeat extensin 14. Gene Ontology (GO) enrichment analysis revealed significant enrichment in biological and molecular functions such as DNA binding, pectinesterase activity, zinc ion binding, ATP binding, and uniporter activity. Bioinformatic characterization of the two most likely candidate genes, Zm00001d002726 and Zm00001d015394, showed that both possess a typical compact four-exon structure. Functional prediction indicated that Zm00001d002726 encodes a pectinesterase/pectinase, potentially regulating cell elongation through pectin degradation and remodeling of the cell wall. Pectinesterase activity may influence PH and EH by mediating pectin demethylation within the cell wall. In contrast, Zm00001d015394 encodes a PLATZ family transcription factor that may regulate downstream gene expression through DNA-binding activity. These findings provide insight into the genetic architecture and potential molecular mechanisms underlying PH and EH in maize and offer a foundation for future breeding efforts. Full article

This study proposes a methodological framework for extending Malware Information Sharing Platform (MISP) taxonomies in the domain of Dark Web drug forums through the integration of large language models (LLMs) and Human-in-the-Loop (HITL) validation. The research addresses the existing ontological gap between traditional MISP taxonomies, focused on technical or chemical indicators, and the linguistic and morphological complexity of illicit digital markets. By modelling the primary physical form as an ontological predicate with mutually exclusive values (for example, powder, pill–tablet–capsule, liquid, and plant-matter), the proposed approach captures the material dimension of the discourse, enhancing semantic disambiguation and forensic traceability. The Mistral 7B model was used in the morphology-classification stage conducted on a stratified analytical subset of 2904 drug-related Dark Web posts, extracted from a final corpus of 6456 posts after data cleaning and relevance filtering. In the first pass, 76.48% of posts were directly assigned to one of the base morphological categories, while 23.52% were labelled as unclear and subsequently reviewed through the HITL stage. Following HITL refinement and full reclassification, the proportion of posts labelled as unclear decreased from 23.52% to 11.29%, corresponding to a 51.99% relative reduction in ambiguity. Network visualisation with VOSviewer revealed three major discursive axes—recreational–commercial, pharmaceutical–opioid, and transnational–logistical—reflecting the hybrid semantic structure of digital drug markets. The results show that combining LLM-based inference with expert oversight improves the interpretability, reproducibility and ontological robustness of cyberintelligence models, offering a replicable framework for other sensitive domains such as terrorism or child exploitation. Full article

The homeobox transcription factor (TF) superfamily includes the WUSCHEL-RELATED HOMEOBOX (WOX) family, which plays a critical role in adaptive plant growth. Specifically, WOX regulates stem growth in plants, with stems serving as the structural framework for laticifers in Euphorbia hirta. However, the number of WOX gene family members in the E. hirta genome has not been reported. In this study, we identified 14 EhWOX genes in E. hirta and characterized their physicochemical properties, chromosomal locations, phylogenetic relationships, conserved motifs, gene structures, promoter cis elements, gene ontology (GO) enrichment, tissue-specific expression patterns, and subcellular localization. Chromosomal mapping indicated their distribution across nine chromosomes. Phylogenetic analysis classified these genes into three evolutionary clades. Promoter cis-element analysis identified abundant light-responsive, hormone-responsive, and stress-responsive elements. GO enrichment suggested their broad involvement in diverse biological processes. Additionally, RNA-seq revealed high expression levels of EhWOX4-6 and EhWOX14 in stems. Furthermore, RT-qPCR confirmed tissue-specific expression in stems. Moreover, experimental evidence confirmed the subcellular localization and autoactivation capability of some WOX proteins that may be involved in stem development. Overall, this study provides a comprehensive characterization of the candidate EhWOX genes and provides a foundational resource for future functional investigations into their possible roles in stem and laticifer biology. Full article

Background: Plant architecture, particularly branching patterns, plays a crucial role in plant growth, photosynthetic performance, and yield. Spur-type apple, characterized by compact growth, early fruiting, high productivity, and manageable canopy structure, represent valuable germplasm for establishing dwarf and high-density apple orchards. While hybrid breeding of spur-type varieties offers significant potential for genetic advancement, severe segregation of traits in hybrid progeny and the difficulty of combining multiple favorable traits still significantly limit breeding efficiency. Moreover, the genetic basis and molecular mechanisms of the spur-type trait remain poorly understood at the genomic level, hindering the development of precise molecular breeding approaches. Methods: To address this, we used the spur-type line ‘0301-13-14’ and the non-spur-type line ‘0301-50-32’ from hybrid progenies of the spur-type cultivars ‘Miyazaki Spur Fuji’ and ‘Starkrimson’ to elucidate the regulatory mechanisms underlying apple branch formation and spur-type trait development by characterizing their branching traits, performing whole-genome resequencing analysis, and identifying candidate genes using bioinformatics analyses. Results: Anatomical observations revealed that the spur-type line ‘0301-13-14’ possessed smaller cells with a more compact spatial arrangement compared to the non-spur-type line ‘0301-50-32’. Whole-genome resequencing generated 5,003,968 high-quality single-nucleotide polymorphisms (SNPs) and 577,886 high-quality insertions/deletions (InDels). We further identified 29,157 candidate genes harboring predicted deleterious mutations (classified as high or moderate impact). Gene Ontology (GO) enrichment analysis indicated that genes associated with the spur-type trait were mainly enriched in molecular function and biological process categories. Specifically, variant genes related to molecular function were enriched in transferase and catalytic activities, while those in biological process were mainly involved in phosphorylation and phosphorus metabolism. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis showed that candidate genes were significantly enriched in environmental information processing and metabolic pathways. Conclusions: These results will provide a genomic foundation for identifying genes controlling spur-type branching traits and facilitate the genetic improvement of spur-type apple. Full article

Hylocereus undatus growth is limited by long-term heat stress, and heat shock protein 70 (Hsp70) is crucial in the plant’s heat stress (HS) response. In a previous study, transcriptomic data revealed that Hsp70 family members in pitaya seedlings respond to temperature changes. This study identified 27 HuHsp70 genes in pitaya, analyzed their physicochemical properties (such as molecular weight and isoelectric point), and divided them into five subfamilies with conserved gene structures, motifs (short conserved sequence patterns), and cis-acting elements (regulatory DNA sequences). The Ks value (synonymous substitution rate) ranged from 0.93~3.54, and gene duplication events occurred between 71.17 and 272.19 million years ago (Mya). Under HS, eight and nine differentially expressed genes (DEGs) were detected at 24 h and 48 h, respectively. Quantitative real-time PCR (qRT-PCR, a method for measuring gene expression) verified the expression trends, with HuHsp70-11 expression increasing with heat shock duration, indicating that HuHsp70-11 is a key candidate. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses revealed that HuHsp70s, especially HuHsp70-11, play key roles in responding to high temperatures (HT) in H. undatus seedlings. A potential model by which HuHsp70-11 removes excess reactive oxygen species (ROS) and enhances cell membrane permeability was constructed. These results provide new perspectives for exploring the HS response mechanisms and adaptability of H. undatus plants to heat stress. Full article

Early and accurate date palm disease detection is the key to successful smart farming ecosystem sustainability. In this paper, we introduce DoST-DPD, a new Dual-Stream Transformer architecture for multimodal disease diagnosis utilizing RGB, thermal and NIR imaging. In contrast with standard deep learning approaches, our model receives ontology-based semantic supervision (via per-dataset OWL ontologies), enabling knowledge injection via SPARQL-driven reasoning during training. This structured knowledge layer not only improves multimodal feature correspondence but also restricts label consistency for improving generalization performance, particularly in early disease diagnosis. We tested our proposed method on a comprehensive set of five benchmarks (PlantVillage, PlantDoc, Figshare, Mendeley, and Kaggle Date Palm) together with domain-specific ontologies. An ablation study validates the effectiveness of incorporating ontology supervision, consistently improving the performance across Accuracy, Precision, Recall, F1-Score and AUC. We achieve state-of-the-art performance over five widely recognized baselines (PlantXViT, Multi-ViT, ERCP-Net, andResNet), with our model DoST-DPD achieving the highest Accuracy of 99.3% and AUC of 98.2% on the PlantVillage dataset. In addition, ontology-driven attention maps and semantic consistency contributed to high interpretability and robustness in multiple crop and imaging modalities. Results: This work presents a scalable roadmap for ontology-integrated AI systems in agriculture and illustrates how structured semantic reasoning can directly benefit multimodal plant disease detection systems. The proposed model demonstrates competitive performance across multiple datasets and highlights the unique advantage of integrating ontology-guided supervision in multimodal crop disease detection. Full article

Modern agriculture faces increasing demands for productivity, sustainability, and real-time operational control, driven by challenges such as input overuse, climate variability, and environmental compliance. Operational monitoring systems have emerged as a critical tool to address these challenges by providing continuous, data-driven insights into field operations like tillage, planting, and spraying. However, the academic and practical understanding of operational monitoring remains fragmented, lacking a unified framework to integrate machine-level sensing, data processing, and decision-making. This paper introduces a classification scheme and conceptual framework for operational monitoring in precision agriculture, aiming to bridge this gap. The framework delineates the data–information flow from data acquisition to the execution of actions resulting from informed decisions, distinguishing between real-time control and strategic analysis. Additionally, the proposed classification categorizes operational monitoring into three functional roles, material accounting, logistics accounting, and predictive maintenance, aligned with the conceptual model of farm ontology. By synthesizing technological advancements in positioning systems, sensors, and data management, this study provides a structured approach for designing and deploying operational monitoring. The findings contribute to systematic thinking in farm information systems, supporting smarter, more responsive agricultural practices. Future research should explore the integration of AI and edge computing to further optimize operational monitoring and decision-making in agriculture. Full article

Superoxide dismutase (SOD) serves as a critical enzyme that is involved in plant development and abiotic stresses by effectively detoxifying reactive oxygen species (ROS). Though the SOD gene family has been reported across various plant species, its specific members and functional roles in litchi (Litchi chinensis Sonn.) remain poorly understood. In this study, a total of seven SOD (christened LcSOD) genes were identified from the litchi genome and classified into three groups across six chromosomes. Notably, genes from the same evolutionary branch had more similar structures and motif distributions. The LcSOD genes were confirmed to have a stronger collinearity with dicotyledons than with monocotyledons. Cis-acting elements analysis indicated that the LcSOD gene family was deeply involved in orchestrating growth, development, and responses to multiple phytohormones and diverse stresses. Expression patterns of the LcSOD genes across different tissues revealed universal and specific expressions. In leaves, expression levels of the LcSOD genes were induced by cold, heat, drought, and salt stresses, and transcript levels correlated positively with concomitant changes in key physiological parameters under the same conditions. In addition, the LcSOD genes were characterized for their physicochemical properties, subcellular localizations, secondary and tertiary structures, gene ontology (GO) annotations, and protein-protein interactions. Our findings offer comprehensive insights into the LcSOD gene family, enriching genetic resources. They provide a framework for functional characterization and the development of stress-resistant cultivars, driving both basic research and applied breeding programs in litchi. Full article

Recent advances in plant genomics have characterized transposable elements (TEs) as key contributors to genome structure and gene regulation. This study focuses on the remarkably high abundance of short interspersed nuclear elements (SINEs) in the genus Trifolium. Using the allotetraploid horticultural plant white clover (Trifolium repens L.) as the study organism, we systematically investigate lineage-specific SINE amplification, genomic distribution, insertional preferences, and their regulatory effects on gene expression. Our analyses reveal that SINEs are significantly more abundant in Trifolium than in other angiosperms. Comparative genomic analyses further indicate that SINE accumulation is closely associated with polyploidization and domestication. Gene Ontology (GO) enrichment analyses demonstrate that SINEs are preferentially enriched in stress responsive genes. Expression analyses further showed that, within duplicated gene pairs, genes with SINE insertions in their upstream promoter regions exhibit significantly higher transcript levels compared with genes without such insertions. Under drought, cold, and cadmium stress, these SINE-associated genes exhibit upregulation, and our data analysis shows a strong correlation between the presence of SINE insertions and stress-induced upregulation of gene expression. This study demonstrates that SINE insertions in upstream promoter regions modulate transcriptional regulatory networks involved in stress responses, contributing to broad ecological adaptation in white clover. Full article

Cold stress limits cucumber productivity, and grafting onto tolerant rootstocks offers a promising strategy for improving resilience. This study compared the responses of cucumber heterografts and self-grafts exposed to different cold temperatures, aiming to uncover the molecular basis of grafting-mediated tolerance. Morphological observations showed that grafting onto Cucurbita ficifolia and C. maxima X C. moschata cv. Tetsukabuto rootstocks improved plant growth under moderate cold, while extreme stress remained lethal. Transcriptome analysis revealed that heterografts displayed broader and more sustained differentially expressed genes than self-grafts. Gene ontology (GO) enrichment in heterografts indicated early activation of structural, regulatory, and metabolic processes, with continued enrichment at later stages. KEGG analysis highlighted plant hormone signaling as a central pathway modulated by heterografting, with selective regulation of auxin, ethylene, and ABA signaling. Heterografts activated key regulators, including MAPK3-like, TIFY5A, and CPK28, which were strongly expressed, alongside transcription factors from NAC, CAMTA, WRKY, and MYB families, suggesting coordinated regulation of cold-responsive networks. These results demonstrate that heterografting enhances cold tolerance by orchestrating multi-layered molecular responses, including hormone modulation, stress signaling, and transcriptional factors. This underscores the potential of grafting onto cold-tolerant rootstocks as a practical strategy for cucumber cultivation in cold-prone environments. Full article

Torreya nucifera, a consumable botanical species native to the southern regions of Korea, has a history of ethnopharmacological application to treat inflammatory conditions. This study employed feature-based molecular networking and integrated with the GNPS database to separate and identify ten phenolic compounds from T. nucifera. We further investigated the therapeutic potential of these isolated compounds and their structural features in the context of rheumatoid arthritis. Protein–protein interaction networks, constructed using compound–target and disease-associated target data, identified NFKB1, RELA, and TNFRSF1A as key hub genes. Gene Ontology (GO) enrichment analysis revealed inflammatory response as the most significantly modulated biological process. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis indicated that the NF–kB signaling pathway is the most critical of the regulatory cascades influencing the pathogenesis of rheumatoid arthritis. Molecular docking studies verified strong binding affinities between the identified compounds and key target proteins. Furthermore, Western blot results validate that T. nucifera extract suppressed the LPS-activated NF–kB signaling pathways by inhibiting p65 and IκBα phosphorylation. The results underscore the significance of T. nucifera and its anti-inflammatory properties in relation to rheumatoid arthritis, establishing a scientific basis to formulate plant-based products within functional foods, nutraceuticals, and therapeutic interventions targeting rheumatoid arthritis. Full article