Search Results (1,736)

No. 0 diesel oil may pose a serious threat to sea cucumber (Apostichopus japonicus) aquaculture by inducing skin ulceration. This study aimed to evaluate the protective efficacy and mechanism of a previously developed inhibitor composition against diesel-induced injury. The inhibitor composition significantly alleviated skin ulceration in the experimental group (Eg), reducing the lesion area to 14.44 ± 1.79% after 96 h, compared to 33.19 ± 2.94% in the diesel-exposed control group (Cg) (p < 0.05). It effectively suppressed the overactivation of autolytic enzymes (cathepsin L and B) while enhancing the activities of acetylcholinesterase, superoxide dismutase, and catalase. Transcriptomic profiling revealed 3137 differentially expressed genes, with functional enrichment in pathways related to Notch signaling, ECM–receptor interaction, glycosaminoglycan biosynthesis, and detoxification. The upregulation of genes such as HES-C, CYP1A1, GST, and UGT may be linked to the regulation of apoptosis inhibition, xenobiotic metabolism, and antioxidant defense. Furthermore, enhanced expression of NAD kinase and PNLIPRP may indicate a potential strengthening of energy metabolism and lipid utilization during stress adaptation. This study suggests that the inhibitor composition may exert a multi-level protective effect against diesel-induced injury by coordinating tissue repair, oxidative balance, and detoxification processes, offering a potential strategy to mitigate pollution impacts in sea cucumber aquaculture. Full article

Cucumber Fusarium wilt, which is induced by the soil-borne pathogen Fusarium oxysporum f. sp. Cucumerinum (FOC), represents a highly destructive disease. Cucumber seedling grafted onto figleaf gourd (Cucurbita ficifolia Bouché) rootstock (CFC) demonstrated better resistance to FOC. However, the molecular mechanism underlying this enhanced disease resistance capability is largely unknown. To elucidate this, we performed transcriptome, small RNA, and degradome sequencing for leaves from CFC and self-grafted cucumbers (SGC) as controls, with and without FOC infections, respectively. Our results indicated that three NAC genes, all predicted as targets of csa-miR164, were significantly up-regulated in CFC after FOC infection. Co-transformation assay in Nicotiana benthamiana confirmed that csa-miR164f directly inhibits NAC2, and transient overexpression of NAC2 in cucumber enhanced resistance to FOC, supporting its positive role in defense. Therefore, our results suggest that three NACs, upregulated in CFC, as an alternative pathway, enhance the reactive oxygen species burst and hypersensitive response, which further elevates the resistance to FOC infection. These results provide new insights into the molecular basis for improved FOC resistance in CFC. Full article

Diatoms are considered an important food source for the commercially valuable sea cucumber Apostichopus japonicus. However, food sources for juvenile A. japonicus in the wild remain understudied, despite their importance for effective stock enhancement. In this study, seasonal diatom assemblages and viability in the feces of juvenile A. japonicus and in the feeding environments (biofilm, water column) were investigated using direct microscopy to evaluate diatom availability and utilization by the juveniles. Additionally, a laboratory feeding experiment was conducted to examine the digestibility of the predominant diatom (Tabularia) in the feces during the field survey. Field surveys have shown that diatoms are a major food item for juveniles, although their contribution varies seasonally with shifts in dominant food sources. Notably, Tabularia spp. occurred at a higher relative proportion in fecal assemblages than in the feeding environments and exhibited high mortality in the feces (96.3 ± 2.4%). Consistently, laboratory experiments showed marked degradation of intracellular contents in Tabularia sp. after excretion, supporting its digestibility. These findings have broadened our understanding of optimal food sources for A. japonicus juveniles as well as their feeding ecology in natural environments, informing the selection of more suitable diets and potentially enhancing stock enhancement practices. Full article

Sustainable irrigation planning under increasing water scarcity requires efficient allocation of limited water resources while simultaneously considering land suitability and agricultural productivity. In this study, we aim to identify optimal cropping patterns for sustainable irrigation management using an optimization-based decision-support framework applied to the Nam Mang 3 Irrigation Project in Lao PDR, based on data from 2022. Focusing on the dry season (November–April), we evaluated six major crops—rice, beans, maize, tomato, cucumber, and watermelon—under six irrigation scenarios to assess the impacts of land suitability and water availability. The analysis incorporated a water availability range from 17.70 to 18.10 mm³ to evaluate system robustness. Linear Programming (LP), the Genetic Algorithm (GA), and the African Vultures Optimization Algorithm (AVOA) were employed to determine optimal crop allocation. The proposed framework explicitly incorporates varied soil types and land-use constraints, providing a more realistic representation than conventional homogeneous assumptions. The results indicate that AVOA outperformed other models in terms of stability. Under the evaluated scenarios, the optimal cultivated area ranged from 3192 to 3200 ha, with total profits fluctuating between 34,125,930 and 34,314,900 US$. These findings demonstrate that integrating soil variability and sensitivity-based optimization significantly enhances irrigation planning, providing a practical, robust decision-support tool for planners to design adaptive and sustainable cropping strategies in water-scarce regions. Full article

Postharvest dehydration is a major determinant of cucumber freshness and marketability, yet early reductions in internal water status are difficult to detect using conventional quality assessment methods. This study presents a non-destructive, physiology-informed deep learning approach that links cucumber surface color and texture patterns to internal hydration level for automated freshness classification. A time-resolved dataset comprising 4160 RGB images of cucumber fruits was paired with gravimetrically determined relative water content (RWC), used as an objective indicator of internal hydration status. Based on RWC, fruits were classified into four freshness categories: Very Fresh (≥98%), Moderately Fresh (95–98%), Low Freshness (90–95%), and Spoiled (<90%). A custom convolutional neural network (CNN) was trained using standardized RGB images and evaluated on an independent test set. The model achieved an overall classification accuracy of 91.35% and a Cohen’s Kappa coefficient of 0.875, indicating strong agreement between predicted and actual freshness classes. Classification performance was highest for the extreme freshness states, with F1-scores exceeding 0.94 for Very Fresh and Spoiled fruits, while intermediate classes showed greater overlap, reflecting the gradual nature of postharvest water loss. Model interpretability analyses revealed that the CNN consistently focused on physiologically meaningful surface color and texture features associated with dehydration. Overall, these findings highlight the potential of physiology-informed deep learning to advance non-destructive freshness assessment in cucumbers, offering a realistic pathway toward hydration-based sorting, improved shelf-life management, and intelligent quality monitoring in modern postharvest supply chains. Full article

Successful organ regeneration depends on coordinated cell-to-cell communication mediated by ligand–receptor interactions that regulate proliferation, differentiation, and axonal guidance. Sea cucumbers, particularly Holothuria glaberrima, exhibit remarkable regenerative capacity following evisceration, regenerating their complete intestinal system within weeks. To identify molecular signals orchestrating these events, we characterized five ligand–receptor groups of axonal guidance molecules (Netrin/UNC5-DSCAM, Ephrin/Eph receptors, Semaphorin/Plexin, RGMα/Neogenin, and SLIT/ROBO) using transcriptomic databases from regenerating intestines and the radial nerve cord. Comparative analyses confirmed these as highly conserved orthologs, retaining characteristic structural domains essential for guidance signaling. Multiple alternatively spliced isoforms were detected, with tissue-specific variants suggesting functional diversification. Differential gene expression analysis across intestinal regeneration stages (12 h to 21 days post-evisceration) revealed distinct temporal patterns: Netrin-1 showed significant upregulation at 7–14 days post-evisceration, coinciding with nerve fiber invasion into the intestinal anlage, while the Ephrin, Semaphorin, and SLIT–ROBO pathways exhibited late-stage expression associated with luminal tissue formation. Single-cell RNA sequencing from 9-dpe regenerating intestines localized Netrin to coelomic epithelial cells and UNC5B to differentiating epithelial cells, with CellChat analysis predicting strong epithelial-to-epithelial signaling. These findings strongly suggest that axonal guidance molecules play dual roles during intestinal regeneration: directing neural innervation in early-to-mid stages and orchestrating tissue boundary formation at later stages. Full article

Background: The visceral organs of sea cucumbers belonging to the family Stichopodidae, also known as Stichopodidae Viscus (SV), have been traditionally used for the management of gastrointestinal disorders. Experimental evidence has shown that the ethanol extract of SV (SVE) alleviates ulcerative colitis (UC) symptoms in a mouse model. However, the chemical constituents of SVE and the potential molecular targets mediating its effects in UC remain unclear. Methods: In this study, SVE was prepared from Apostichopus japonicus (Selenka). A reliable and sensitive strategy integrating advanced analytical and informatics tools was employed to profile the chemical components of SVE. Analyses were performed using ultra-performance liquid chromatography coupled with ion mobility spectrometry and quadrupole time-of-flight mass spectrometry operating in high-definition MS^E (UPLC-IMS-Q-TOF-HDMS^E), with data processed using the UNIFI scientific information system. Constituent identification relied on retention time (RT), accurate mass (MS1), experimentally acquired HDMS^E (MS2) spectra, and collision cross-section (CCS). Metabolomics-based approaches were further applied to characterize the in vivo exposure profile of SVE components in mouse serum and colon tissue after oral administration. Subsequently, the putative bioactive constituents and their underlying mechanisms of action were investigated using network pharmacology and molecular docking. Results: Based on the integrated identification strategy, a total of 78 compounds, including saponins, phenolic acids, fatty acids, and amino acids, were annotated in SVE, among which 6 compounds were verified using authentic reference standards to ensure unambiguous identification. Subsequently, 35 features in serum and 24 in the colon were found to be significantly altered following a single oral dose of SVE in mice, and were defined as SVE-related differential constituents. After network pharmacology analyses, 129 shared targets were identified between potential targets of SVE-related components in serum and UC-related targets, including PIK3CA, EGFR, and AKT1. Functional enrichment analysis suggested that SVE might exert its effects in UC through modulation of key nodes within the PI3K-Akt and EGFR signaling pathways, as well as lipid- and atherosclerosis-related pathways. Molecular docking results further indicated moderate binding affinities of representative SVE-related differential components toward PIK3CA, AKT1, and EGFR. Conclusions: This study clarifies the chemical basis and potential UC-related mechanisms of SVE, providing a scientific rationale for the development of SV-derived therapeutic candidates for UC. Full article

The ZF-HD transcription factors play key roles in plant development and stress responses, yet their functions in cucumber remain poorly understood. Here, we characterized a cucumber ZF-HD gene, CsHB33, and investigated its role in leaf development and drought tolerance. CsHB33 was highly expressed in developing leaves. Its expression was significantly suppressed by abscisic acid (ABA) and down-regulated under drought stress. Heterologous overexpression of CsHB33 in Arabidopsis promoted leaf growth by increasing cell size, but simultaneously enhanced sensitivity to osmotic and drought stress, accompanied by higher stomatal aperture and water loss. Transcriptomic analysis revealed that CsHB33 overexpression up-regulated genes associated with leaf enlargement, while under drought it led to constitutive activation of aromatic amino acid biosynthesis, particularly tryptophan metabolism. This metabolic disturbance likely contributes to the drought-sensitive phenotype. Our findings reveal that CsHB33 exerts opposing effects on leaf growth and drought tolerance, providing new insights into ZF-HD gene function in cucumber and identifying a potential target for improving stress resilience in breeding. Full article

The plant hormone abscisic acid (ABA) plays an important role in crop growth and development, so it is urgent to establish a simple and sensitive method for the detection of ABA. (1) As one of the most sensitive spectral detection methods, surface-enhanced Raman spectroscopy (SERS) has made some progress in the detection of ABA, but it involved a complicated modification process of noble metal nanoparticles and was time-consuming. (2) In this work, a SERS and (local surface plasmon resonance) LSPR dual-signal aptamer (Apt) sensor based on the aggregation of dispersed (gold nanoparticles) AuNPs and the improved plasmonic coupling with formed SERS was developed and applied to the detection of the plant hormone ABA. Through the specific recognition of Apt and ABA, the prepared crystal violet (CV) and Apt modified AuNPs tended to aggregate in a high concentration salt solution, resulting in changes in LSPR characteristics of the detection system and enhanced SERS intensity of CV signal molecules. Thus, the quantitative relationship between ABA concentration and SERS intensity of signal molecule CV and the degree of absorbance change of AuNPs were established. (3) The linear range detection of SERS was 0.04~40 µM, the detection limit lod (LOD) was 17.6 nM, the linear range detection of LSPR was 0.4~80 µM, and the LOD was 36 nM. (4) The sensor has a good ability to detect ABA in the samples of common plants such as cucumber and tomato and has the characteristics of no chemical bond modification, more reliable detection results, and a universal detection platform. Full article

A novel cucumber pulp certified reference material (CRM) was prepared for the analysis of plant growth regulator residues, specifically chlormequat chloride (CCC) and 2,4-dichlorophenoxyacetic acid (2,4-D). The matrix CRM candidates were prepared by cucumber pulping, spiking, homogenizing and subpackaging. A reference method of liquid chromatography tandem isotope dilution mass spectrometry (ID-LC-MS/MS) was established for simultaneous measurement of mass fractions of CCC and 2,4-D in cucumber pulp. Interlaboratory value assignment of CCC and 2,4-D in the cucumber pulp CRM was performed using the ID-LC-MS/MS method. The certified values with expanded uncertainties (coverage factor k = 2) were assigned to be 4.1 mg/kg ± 0.4 mg/kg for CCC, 2.0 mg/kg ± 0.2 mg/kg for 2,4-D. Homogeneity assessment was performed on fifteen randomly selected units, and statistical analysis confirmed the CRM’s homogeneity for both CCC and 2,4-D, both between and within packages. The long-term stability of the CRM at −20 °C storage condition and short-term stability at 30 °C were monitored for 14 months and nine days, respectively, and no significant trend differences were observed. The uncertainty contributions from characterization, homogeneity and stability were taken into account in uncertainty evaluation. The CRM was officially certified and registered under the number GBW(E)100932 by the State Administration for Market Regulation of the P. R. China. Full article

The objective of this study was to assess the predictability of leaf dry matter content across a diverse range of plant species using hyperspectral reflectance data. The dataset encompassed leaves from multiple crops, including potatoes, beans, wheat, maize, peas, tomatoes, basil, and cucumbers, collected under varying growth conditions, cultivation systems, seasonal contexts, and developmental stages. As an initial benchmark, commonly used narrow-band spectral indices and their combinations were evaluated, but they exhibited limited predictive performance for dry matter content. Consequently, several full-spectrum machine learning models were trained and compared to assess their individual predictive ability. Given their complementary strengths, these models were integrated into a stacked ensemble framework to enhance overall accuracy. The resulting ensemble, combining the outputs of multiple base learners through a meta-learner, achieved a coefficient of determination of $R^2=0.896$ on an independent test set, outperforming all individual models. The findings highlight the potential of a multi-model stacking approach to improve the accuracy and robustness of leaf biochemical property estimation from hyperspectral data. Full article

Plant-based egg analogs often fail to develop characteristic egg aroma, which limits their sensory acceptance. While the pronounced differences in key aroma compounds between chicken egg and vegan egg products have been identified, the precursor-driven mechanisms underlying these differences remain unclear. The HPLC-MS technique was used to measure the free amino acids of scrambled chicken eggs and a commercial plant-based egg product before and after cooking. This first comparative analysis revealed pronounced deficits in key free amino acids involved in egg aroma chemistry, particularly methionine, cysteine, glutamic acid, and aspartic acid, in the plant-based matrix. To address this gap, 23 plant-derived raw materials were analyzed for their free amino acid composition, generating a targeted comparative dataset that links naturally occurring free amino acids in plant ingredients to egg-relevant aroma precursors. Oyster mushroom, yeast extract, cucumber, and celery root were identified as the most effective contributors to the missing precursor pool. These findings were translated into three prototype formulations designed to restore precursor availability. Consumer test results (n = 58) reported that the prototype enriched with celery root and dried cucumber powder achieved improved overall liking, odor, and taste compared with the original product. This study introduces the first precursor-guided formulation strategy that enables in situ egg-like aroma generation in vegan eggs during cooking, hence providing a mechanistic basis for future flavor- and taste-focused research. Full article

Pirimicarb is a carbamate insecticide, widely used due to its specific control effect on aphid populations. However, the European Food Safety Authority conducted a risk assessment and proposed regulatory endpoints for it in October 2024. Therefore, there is an urgent need to develop rapid, sensitive, and convenient rapid detection technologies for pirimicarb. Thus, this study proposes an enzyme-free rapid detection method: using 4,5,6,7-tetrabromo-2′,4′,5′,7′-tetraiodofluorescein (RB2) as a detection probe, since the synergistic effect of halogen and hydrogen bonding between RB2 and pirimicarb (PIB) in acidic aqueous solution induces charge transfer and leads to a distinct color change in RB2, thereby enabling the rapid detection of PIB. This method has good selectivity, and a limit of detection (LOD) of 0.0321 mg·L⁻¹ in aqueous solution is achieved with a visual detection time of less than 60 s for PIB. And the LODs for PIB in cucumber and tomato peel samples are 0.0536 mg·L⁻¹ and 0.0243 mg·L⁻¹, respectively. Importantly, this method does not require enzymes as a vehicle in the detection process; it solely relies on the synergistic effect of halogen and hydrogen bonding between RB2 and PIB to achieve visual identification and detection of PIB, providing a reference method for the rapid detection of PIB. Full article

Electric impedance spectrum (EIS) is attracting attention in many areas of science, ranging from electrochemistry and material science to medical diagnosis. Interestingly, theoretical description often stops at material constants and specific physical mechanisms are represented by equivalent circuit elements, which is also motivated by the common use of various bridge methods. This specifically applies to biological samples, which exhibit a rich variety of responses to the electric field. Here, we present a step further from the description that utilizes equivalent circuit elements. We demonstrate how alteration of the mesoscopic structure affects the EIS in a biological sample: a cucumber under thermal treatment that comprises a cooling and warming phase. As the freezing temperature of water is exceeded during the cycle, the cucumber becomes frosted, which leads to unrecoverable changes in the internal structure, with no change of chemical composition. The experimental evidence is complemented by theoretical analysis, based on a novel approach to modeling non-stationary problems, derived from the stationary Poisson–Boltzmann equation. We demonstrate a qualitative agreement between the theoretical and the experimental results, and discuss the procedure for tuning the model. We also demonstrate that, of the temperature variations of the position of the beta dispersion, the one related to the mesoscopic structure, can be used to assess the ionic strength of the material, determine the microscopic diffusion constant, or reflect the changes in mesoscopic structure, depending on experimental protocol. Full article

Integrated fertilization using reduced chemical fertilizers and bio-organic fertilizers can maintain soil fertility with lower chemical inputs, yet its systemic effects on disease control, soil microbes, yield, and quality are not fully clear. This study aimed to: (1) evaluate the effects of Bacillus amyloliquefaciens Z2 and Trichoderma harzianum T22, alone or combined, on suppressing Fusarium wilt (Fusarium oxysporum f. sp. cucumerinum) and promoting cucumber growth in pot experiments; and (2) assess the field efficacy of reduced chemical fertilizer (75% N) plus microbial bio-organic fertilizer (25% N) for disease control, growth enhancement, and yield and quality improvement. To achieve these objectives, pot experiments were first conducted, followed by field experiments. Pot results indicated that individual and combined inoculants notably decreased the disease index (DI) by 40.48–68.75%, and significantly increased cucumber fresh shoot biomass by 16.86–26.75%, with the combined inoculants exhibiting the greatest effect. Field experiments indicated that the synthetic microbial bio-fertilizer has a greater advantage in promoting cucumber growth and disease suppression compared to a single bacterial bio-organic fertilizer. Specifically, the application of combined bio-fertilizers exhibited the best performance in decreasing cucumber DI by 51.54%, improving cucumber fresh shoot biomass by 12.19%, and enhancing cucumber yield by 21.02%, along with significantly improving fruit vitamin C content by 21.17% and increasing fruit total amino acids by 26.23% compared with the control. Rhizosphere soil analysis revealed that the application of combined bio-fertilizers enriched beneficial bacterial families (JG30-KF-AS9 and Sphingomonadaceae) and fungal genera (Chaetomiaceae and Condenascus) with known biocontrol functions and suppressed the proliferation of Fusarium. Overall, the integrated use of reduced chemical fertilizer combined with synthetic bio-organic fertilizer effectively suppresses cucumber wilt, optimizes microbial community structure, and improves cucumber yield and quality, furnishing a valuable foundation for microbial-assisted sustainable crop production. Full article