Search Results (24,135)

Microorganisms have emerged as prolific and versatile producers of steroidal natural products, displaying a remarkable capacity for structural diversification that extends far beyond classical sterol frameworks. This review critically examines steroidal metabolites isolated from microbial sources, with a particular emphasis on marine-derived and endophytic fungi belonging to the genera Aspergillus and Penicillium, alongside selected bacterial and lesser-studied fungal taxa. Comparative analysis reveals that these organisms repeatedly generate distinctive steroid scaffolds, including highly oxygenated ergostanes, secosteroids, rearranged polycyclic systems, and hybrid architectures arising from oxidative cleavage, cyclization, and Diels–Alder-type transformations. While many reported compounds exhibit cytotoxic, anti-inflammatory, antimicrobial, or enzyme-inhibitory activities, the biological relevance of these metabolites varies considerably, highlighting the need to distinguish broadly recurring bioactivities from isolated or strain-specific observations. By integrating structural classification with biosynthetic considerations and bioactivity trends, this review identifies key steroidal frameworks that recur across taxa and appear particularly promising for further pharmacological investigation. In addition, current gaps in mechanistic understanding and compound prioritization are discussed. Finally, emerging strategies such as genome mining, biosynthetic gene cluster analysis, co-culture approaches, and synthetic biology are highlighted as powerful tools to unlock the largely untapped potential of microbial genomes for the discovery of novel steroidal scaffolds. Together, this synthesis underscores the importance of microorganisms as a dynamic and expandable source of structurally unique and biologically relevant steroids, and provides a framework to guide future discovery-driven and mechanism-oriented research in the field. Full article

In the effort to mitigate climate change, the Marine Hydrokinetic (MHK) energy from ocean currents emerges as an important renewable source due to its large potential, although it remains underexploited. In the Southwestern Tropical Atlantic, surface potentials linked to the North Brazil Current (NBC) are known, but the subsurface North Brazil Undercurrent (NBUC) remained unquantified. This study addressed this gap by applying a two-step approach using more than 20 years of high-resolution (1/12°) climatological and daily reanalysis data to estimate current power density (CPD) throughout the water column along the Brazilian shelf (4° N–12° S), with focus on energetic hotspots where maximum CPD exceeds 1000 W m⁻². The climatological analysis revealed 12 persistent hotspots (H1–H12). Daily analyses show highly energetic but seasonally variable surface hotspots north of 4° S linked to the NBC (H4–H12; >885 W·m⁻²) and weaker but more stable subsurface hotspots south of 4° S associated with the NBUC at depths of 130–266 m (H1–H3; 831–808 W·m⁻²). These patterns are likely influenced by flow–topography interactions along the continental margin. Overall, subsurface resources exhibit greater reliability than surface counterparts, highlighting the importance of incorporating subsurface dynamics in future MHK assessments and development along the Brazilian margin. Full article

Sensory evaluation is essential for analyzing fish quality, as it describes its organoleptic profile and reflects consumer perception. Attributes such as appearance, smell, taste, and texture can vary depending on the origin of the fish, its diet, and thermal processing. In order to obtain reproducible results, it is necessary to control factors such as temperature, cooking time, and portion thickness during fish sample preparation for testing. This study develops a standardized guide for the sensory evaluation of cooked fish, particularly Sparus aurata. The guide includes detailed preparation protocols, a structured descriptive method, and a tasting sheet to ensure objective, reproducible evaluations that are applicable in research, industry, training, and quality control. Full article

Marine biofouling significantly impacts vessel operational efficiency, with mussel species being particularly problematic due to their rapid settlement on biofilm-covered surfaces. This pilot study presents the first explicit test of whether ultrasonic treatment can disrupt the biofilm–larva interaction pathway that facilitates mussel settlement. The study evaluated ultrasonic treatment (28 kHz) as a preventive antifouling strategy targeting the mixed microbial biofilm-mediated settlement pathway of Mytilus edulis. A controlled laboratory experiment compared settlement rates on biofilm-conditioned (2.5-week mixed microbial biofilm development) and unconditioned steel plates with and without ultrasonic treatment. Under control conditions, biofilm presence increased mussel settlement odds by 49-fold (p < 0.001). Ultrasonic treatment eliminated this biofilm enhancement, maintaining settlement at baseline levels (odds ratio: 1.3, p = 0.84). The mechanism remains unclear but may involve biofilm disruption, larval behavioral avoidance, or interference with chemical cues. While limited replication (n = 2, temporal replicates, one tank per treatment per replicate) constrains statistical power and inference, the large effect size and consistency across replicates warrant additional investigation. If confirmed by increased replication and mechanistic studies, ultrasonic treatment could provide sustainable antifouling protection without chemical discharge. Full article

In the context of the era where the maritime power strategy converges with the wave of the digital economy, the digital economy provides a critical transformational opportunity for marine fisheries to break through the traditional extensive model and achieve high-quality development. Based on panel data from 41 coastal cities in China from 2003 to 2022, this study empirically examines the enabling effect of the digital economy on marine fisheries from the perspective of total factor productivity. The findings are as follows: First, the development of the digital economy promotes the improvement of total factor productivity in marine fisheries, but this is primarily achieved through “innovation-driven” expansion of the production frontier, while its potential in “efficiency catch-up” has not yet been fully realized. Second, the enabling effect exhibits distinct spatial heterogeneity, with its positive impact concentrated in cities in the South China Sea region, where industrial foundations and policy environments are more aligned. Third, the influence of the digital economy demonstrates nonlinear threshold characteristics; when technology promotion and industrial collaboration surpass specific thresholds, the enabling effect significantly strengthens, but as innovation capability improves, its marginal contribution shows a diminishing trend. Accordingly, it is recommended to deepen the application of digital technologies in core processes, transitioning from “isolated applications” to “systematic integration.” Simultaneously, tailored regional development strategies should be formulated to align with the resource endowments and development stages of each maritime region. On this basis, efforts should be made to improve technology promotion and industrial support systems, construct a collaborative and efficient digital fishery ecosystem, and facilitate the sustainable transition of marine fisheries from factor-driven to innovation-driven growth. Full article

Coelomactra antiquata, a marine bivalve of high nutritional and economic value, lacks comprehensive data on its toxic responses and adaptive mechanisms to ammonia nitrogen. This study integrated histophysiology, transcriptomics, and metabolomics to investigate its ammonia tolerance and molecular mechanisms, determining a 48 h LC₅₀ of 99.06 mg/L and a sublethal concentration of 9.91 mg/L. After 48 h of sublethal ammonia stress, SOD, CAT, GLDH, and GS activities in gill and hepatopancreas significantly increased, with notable changes in MDA, Gln, and urea contents, confirming disruption of antioxidant defense and nitrogen metabolism homeostasis. Tissue sections revealed irreversible histopathological damage to key tissues. Omics analyses identified 7823 differentially expressed genes (DEGs) and 737 differentially expressed metabolites (DEMs) in hepatopancreas. DEGs were enriched in metabolic pathways and multiple immune-related signaling pathways (e.g., NF-kappa B, RIG-I-like receptor), while DEMs were primarily involved in processes such as protein digestion/absorption, aminoacyl-tRNA biosynthesis, and amino acid metabolism. Research data indicate that ammonia nitrogen stress primarily regulates the antioxidant function and nitrogen metabolism homeostasis of C. antiquata by activating multiple immune- and metabolism-related pathways. This first systematic multi-omics study elucidates C. antiquata’s tolerance to ammonia nitrogen and its molecular responses, filling a gap in environmental toxicology research for sustainable aquaculture and genomic studies. Full article

This study examines the through-thickness microstructure and crystallographic texture evolution in friction-stir-welded (FSWed) AA5052-H32 and AA6061-T651 aluminum alloys using a tri-flats threaded pin tool. Optical microscopy and electron backscatter diffraction (EBSD) were employed to characterize grain morphology, boundary misorientation, and texture components across the weld thickness. Both alloys exhibited progressive grain refinement and increased high-angle grain boundary fractions from the top to the bottom of the stir zone due to combined thermal and strain gradients. The FSWed AA5052 displayed dominant {111}<110> and Y + γ fiber components at the upper and mid regions, whereas AA6061 showed more randomized textures. At the bottom region, both alloys developed rotated Goss {011}<01-1> and weak A ({112}<110>) and α fiber components. These results clarify how alloy strengthening mechanisms—solid-solution versus precipitation hardening—govern texture evolution under different strain-path and heat input conditions. The findings contribute to optimizing process parameters and material selection for structural-scale FSW aluminum joints in industrial applications such as bridge decks, transportation panels, and marine structures. Full article

We use 29 years of altimeter-derived sea level anomalies and geostrophic velocities (1993–2021) from the Copernicus Marine Service to identify the Mexican Coastal Current (MCC) and to examine how it interacts with the coastline. Variance-ellipse and empirical orthogonal function analyses isolate a narrow alongshore jet with a mean width of about 95 km and average speeds near 0.3 m ${\mathrm{s}}^{-1}$ that reverses direction semiannually: poleward in June and July and equatorward in the rest of the year. When the MCC impinges on broad concavities in the coast, the boundary layer separates, forming recirculation cells that intensify and detach as coherent eddies. These near-shore eddies have similar radii (from ∼30 km) and relative vorticity of $\pm 0.5\times {10}^{-5}$${\mathrm{s}}^{-1}$ at the beginning of their generation, and they propagate offshore once the current weakens. A simple numerical model reproduces the observed behavior and suggests that eddy formation is controlled by flow separation rather than generic instability. The semiannual change in direction of the MCC indicate a link with the larger-scale North Equatorial Countercurrent and Costa Rica Coastal Current systems of the eastern tropical Pacific. Full article

As an important component of waters constituent that affects ocean color and the underwater ecological environment, the accurate assessment of Chromophoric Dissolved Organic Matter (CDOM) is crucial for observing the continuous changes in the marine ecosystem. However, remote sensing estimation of CDOM remains challenging for both coastal and oceanic waters due to its weak optical signals and complex optical conditions. Therefore, the development of efficient, practical, and robust models for estimating the CDOM absorption coefficient in both coastal and oceanic waters remains an active research focus. This study presents a novel algorithm (denoted as DQAAG) that incorporates ultraviolet bands into the inversion model. The design leverages the distinct spectral absorption characteristics of phytoplankton versus detrital particles in the ultraviolet (UV) region, enabling improved discrimination of water color parameters. Furthermore, the algorithm replaces empirical formulas commonly used in semi-analytical approaches with an artificial intelligence model (deep learning) to achieve enhanced inversion accuracy. Using IOCCG hyperspectral simulation data and NOMAD dataset to evaluates Shanmugam (2011) (S2011), Aurin et al. (2018) (A2018), Zhu et al. (2011) (QAA-CDOM), DQAAG, the results indicate that the a_g(443) derived from the DQAAG exhibit good agreement with the validation data, with root mean square deviation (RMSD) < 0.3 m⁻¹, mean absolute relative difference (MARD) < 0.30, mean bias (bias) < 0.028 m⁻¹, coefficient of determination (R²) > 0.78. The DQAAG algorithm was applied to SeaWiFS remote sensing data, and validation was performed through match-up analysis with the NOMAD dataset. The results show the RMSD = 0.14 m⁻¹, MARD = 0.39, and R² = 0.62. Through a sensitivity analysis of the algorithm, the study reveals that R_rs(670) and R_rs(380) exhibit more significant characteristics. These results demonstrate that UV bands play a crucial role in enhancing the retrieval accuracy of ocean color parameters. In addition, DQAAG, which integrates semi-analytical algorithms with artificial intelligence, presents an encouraging approach for processing ocean color imagery to retrieve a_g(443). Full article

The Santos Estuarine System, one of the most anthropogenically impacted coastal regions in Brazil, was studied using benthic foraminiferal assemblages to determine four distinct stages of organic pollution. Predictive models combined with the Ecological Quality Status (EcoQs) index were applied to relate pollution stages to abiotic parameters (total organic carbon, mud content, and salinity variability) and organic contaminants, including aliphatic (AHs) and aromatic hydrocarbons (PAHs), linear alkylbenzenes (LABs), and coprostanol. The pollution gradient ranged from low (São Vicente Channel and Santos Bay, characterized by Ammonia tepida and medium coprostanol concentrations), to moderate (Santos Channel, with Bulimina elongata and Triloculina sp.1), high (Bertioga Channel, showing Cribroelphidium poeyanum, Paratrochammina sp.1, high levels of LABs, and TOC), and severe (Upper Estuary, marked by Ammonia sp.1 and high concentrations of PAHs and coprostanol). A linear discriminant analysis (LDA) demonstrated an overall accuracy of 70%, suggesting that the discriminant model performs reasonably well in predicting the predictive ability of foraminifera species to distinguish between areas with varying pollution status based on organic pollutants. Also, the potential use of the EcoQs index in assessing the environmental quality of a subtropical estuary subjected to organic pollution was demonstrated. Full article

This study provides a comprehensive analysis of the impact of different marine fuels such as heavy fuel oil (HFO), methane, methanol, ammonia, or hydrogen, on energy efficiency and pollutant emissions in maritime transport, using a combined application of the Energy Efficiency Design Index (EEDI), Energy Efficiency Operational Indicator (EEOI), and Carbon Intensity Indicator (CII). The results show that methane offers the most balanced alternative, reducing CO₂ by more than 30% and improving energy efficiency, while methanol provides an intermediate performance, eliminating sulfur and partially reducing emissions. Ammonia and hydrogen eliminate CO₂ but generate NO_x (nitrogen oxides) emissions that require mitigation, demonstrating that their environmental impact is not negligible. Unlike previous studies that focus on a single fuel or only on CO₂, this work considers multiple pollutants, including SO_x (sulfur oxides), H₂O, and N₂, and evaluates the economic cost of emissions under the European Union Emissions Trading System (EU ETS). Using a representative model ship, the study highlights regulatory gaps and limitations within current standards, emphasizing the need for a global system for monitoring and enforcing emissions rules to ensure a truly sustainable and decarbonized maritime sector. This integrated approach, combining energy efficiency, emissions, and economic evaluation, provides novel insights for the scientific community, regulators, and maritime operators, distinguishing itself from previous multicriteria studies by simultaneously addressing operational performance, environmental impact, and regulatory gaps such as unaccounted NO_x emissions. Full article

Marine combustible ice, as a potential clean energy resource, has attracted widespread attention in recent years. To enhance its production efficiency, hydraulic fracturing is considered a promising technique, in which fracture conductivity is one of the key parameters for evaluating stimulation performance. However, experimental investigations on low-strength sediments remain limited, and the evolution of fracture conductivity in hydrate-bearing sediments has not been systematically understood. Since ice and combustible ice share similar characteristics in terms of crystal structure, spectral features, mechanical behavior, and thermal expansion, and ice remains stable under low-temperature conditions, ice was employed as an experimental analog for combustible ice. This study systematically investigated the effects of proppant particle size, proppant concentration, and ice saturation on the short-term fracture conductivity. The results indicate that fracture conductivity increases with higher ice saturation and sand concentration. Larger proppant particles exhibit higher initial conductivity but experience greater conductivity loss. A multi-factor prediction model for the short-term fracture conductivity of fractured marine combustible ice reservoirs was established. The effects of properties of rock plates and sanding induced fracture clogging on conductivity are further discussed. These findings provide an experimental basis and theoretical reference for understanding the fracture conductivity characteristics and optimizing fracturing operations in marine combustible ice reservoirs. Full article

Carbon-reinforced epoxy laminated composite (CREC) structures are increasingly utilized in high-speed marine vehicles (HSMVs) due to their high specific strength and stiffness; however, they are frequently subjected to impact loads like slamming and aggressive environmental agents during operation. This study experimentally investigates the Compression After Impact (CAI) behavior of CREC plates with varying lamination sequences under both atmospheric and accelerated aging conditions. The samples were produced using the vacuum-assisted resin infusion method with three specific orientation types: quasi-isotropic, cross-ply, and angle-ply. To simulate the marine environment, specimens were subjected to accelerated aging in a salt fog and cyclic corrosion cabin for periods of 2, 4, and 6 weeks. Before and following the aging process, low-velocity impact tests were conducted at an energy level of 30 J, after which the residual compressive strength was measured by CAI tests. At the end of the aging process, after the sixth week, the performance of plates with different layer configuration characteristics can be summarized as follows: Plates 1 and 2, which are quasi-isotropic, exhibit opposite behavior. Plate 1, with an initial toughness of 23,000 mJ, increases its performance to 27,000 mJ as it ages, while these values are around 27,000 and 17,000 mJ, respectively, for Plate 2. It is thought that the difference in configurations creates this difference, and the presence of the 0° layer under the effect of compression load at the beginning and end of the configuration has a performance-enhancing effect. In Plates 3 and 4, which have a cross-ply configuration, almost the same performance is observed; the performance, which is initially 13,000 mJ, increases to around 23,000 mJ with the effect of aging. Among the options, angle-ply Plates 5 and 6 demonstrate the highest performance with values around 35,000 mJ, along with an undefined aging effect. Scanning Electron Microscopy (SEM) and Energy-Dispersive X-ray Spectroscopy (EDS) analyses confirmed the presence of matrix cracking, fiber breakage, and salt accumulation (Na and Ca compounds) on the aged surfaces. The study concludes that the impact of environmental aging on CRECs is not uniformly negative; while it degrades certain configurations, it can enhance the toughness and energy absorption of brittle, cross-ply structures through matrix plasticization. Full article

The greater amberjack (Seriola dumerili) is an economically important marine species that is prone to bacterial infections, resulting in high mortality rates and substantial economic losses. In this study, a virulent bacterial strain, Vh-2, was isolated from diseased greater amberjack and identified as Vibrio harveyi. Experimental infections caused high mortality and severe splenic damage characterized by tissue necrosis, abnormal pigment deposition, cellular disintegration, and extensive immune cell infiltration. A virulence gene analysis revealed that Vh-2 harbored multiple virulence-associated genes such as toxR, toxS, vhpA, vhpB, vhhA, vhhB, luxR, and pap6. Antibiotic susceptibility testing demonstrated ampicillin resistance but sensitivity to ceftriaxone, florfenicol, and meropenem. Transcriptomic profiling of infected spleens identified 396 differentially expressed genes (DEGs) compared to the control group, of which 293 were upregulated and 103 were downregulated. A functional enrichment analysis indicated that these genes were primarily involved in cell cycle regulation, DNA repair, metabolic processes, and immune-related pathways. These findings enhance our understanding of V. harveyi pathogenesis and immune responses of S. dumerili and provide new insights into the prevention and control of V. harveyi infections in marine fish. Full article

Marine invertebrates are a prime source of biologically active peptides due to their role in humoral immunity. These peptides typically exhibit broad-spectrum functions, including antibacterial, antifungal, anticancer, and immunomodulatory activities. In this report, we describe the identification and biological characterization of five novel bioactive peptides from the marine mollusk Pisania pusio. An extract of P. pusio was analyzed using nanoLC-ESI-MS-MS, and five peptides (PP1–5) were selected via bioinformatic screening as potential antimicrobial and anticancer peptides and subsequently validated experimentally. Among these, PP1, PP2, and PP4 were identified as cryptides derived from the proteolytic cleavage of actin, while PP3 and PP5 are novel peptides with no known protein precursors. All peptides exhibited moderate activity against Pseudomonas aeruginosa, Escherichia coli, Staphylococcus aureus, and Klebsiella pneumoniae with minimum inhibitory concentrations (MICs) predominantly at 100 µM. In contrast, only PP1 and PP5 were active against cancer cells, with PP1 being the most effective against A375 melanoma cells (IC₅₀ = 17.08 µM). This experimental validation confirmed the utility of the integrated in silico/peptidomic pipeline for lead identification. None of these peptides showed significant hemolytic activity or toxicity on fetal lung fibroblasts over 800 μM, demonstrating promising in vitro selectivity. These results highlight the multifunctional nature of P. pusio-derived peptides and their potential as lead compounds for further optimization and development into therapeutic agents against microbial infections and cancer, subject to more comprehensive safety evaluations in relevant models Full article