Search Results (6,090)

Sporulation represents a complex metabolic reprogramming process in bacteria. In this study, we used CRISPR-Cpf1 to knock out spoIIE and rsfA in Bacillus licheniformis. The ΔspoIIE strain completely lost sporulataion capacity, while ΔrsfA showed a 25% reduction. Although viable cell counts decreased by 80.7% and 45.7%, respectively, glucose consumption and 2,3-butanediol synthesis remained unchanged, and acetoin synthesis increased by 19% in ΔspoIIE. Per-cell metabolic rates were significantly enhanced: glucose uptake increased 2.7–3.4-fold, acetoin synthesis 2.3–4.2-fold, 2,3-butanediol synthesis 1.7-fold, and heterologous protein expression 10–15-fold. These findings demonstrate that blocking sporulation liberates metabolic resources and enhances the specific productivity of vegetative cells, providing a strategy for engineering high-performance B. licheniformis cell factories. Full article

Sorghum (Sorghum bicolor L. Moench) is one of the most important cereal crops in Mexico due to its extensive cultivation and use in human nutrition, livestock production, and the biofuel industry. However, its productivity is severely affected by the sorghum aphid, Melanaphis sorghi Theobald, 1904 (Hemiptera: Aphididae), a major pest of this crop. Its control relies primarily on synthetic chemical insecticides, whose intensive use has led to environmental impacts and health risks, prompting the search for more sustainable alternatives. In this study, the insecticidal activity of root extracts from Bessera elegans was evaluated against apterous adults of M. sorghi using artificial diet bioassays at different concentrations and exposure times. Chemical characterization of the extracts and the active fraction was carried out using high-performance liquid chromatography (HPLC) and gas chromatography coupled to mass spectrometry (GC–MS). The methanolic extract exhibited the lowest LC₅₀ value (2562 ppm), indicating the highest insecticidal potency, while the acetone extract achieved the highest maximum mortality (98%) at the highest tested concentration. Fractionation of the methanolic extract allowed the identification of fraction BeF1 as the most active, with 94% mortality at 1000 ppm. Chemical characterization indicated a predominance of polyphenolic secondary metabolites, mainly flavonoids and lignans. These results highlight the potential of B. elegans as a natural alternative for the integrated management of the sorghum aphid. Full article

Ensuring the safety of gluten-free foods is essential for individuals with coeliac disease and other gluten-related disorders, for whom even minimal gluten exposure can cause adverse effects; this study aimed to evaluate the long-term compliance of gluten-free labeled foods marketed in Italy. A total of 4139 pre-packaged gluten-free products were collected between 2015 and 2024 and analyzed using validated analytical methods. Products were categorized into macro-categories: cereal-based foods, processed non-cereal-based foods, confectionery, flours, baby foods, and dietary supplements. A descriptive analysis and risk modeling were generated to visualize relative risks. Overall non-compliance remained consistently very low (<1%) throughout the 10-year period, with an average rate of 0.27% and minor peaks in 2016 and 2018. The highest frequencies of gluten contamination were observed in cereal-based products and flours-particularly corn flour-while occasional non-compliance occurred in some processed non-cereal-based foods and confectionery; no non-compliance was detected in baby foods or dietary supplements. These findings are reassuring and consistent with, or better than, available EU data, confirming the effectiveness of current control systems and highlighting the importance of continuous monitoring, validated analytical methods and effective allergen management strategies. Strengthened collaboration among regulators and manufacturers remains essential to prevent cross-contamination and protect consumer health. Full article

The aim of this study was to evaluate the potential of minimally processed beetroot pomace (BP), obtained from an industrial juice producer selected as a case study, converted into a stable beetroot pomace flour (BPF) at an industrial scale level, for flour fortification, functional confectionery development, and dietary supplementation. It was characterized by a high dietary fiber content (~27 g/100 g) and a very low carbohydrate-to-fiber ratio (1.9). High level of total phenolics and flavonoids (14.1 ± 0.1 mg GAE/g and 1.43 ± 0.1 mg QE/g), betacyanins and betaxanthins (898 ± 54 and 960 ± 65 µg/g), as well as pronounced antioxidant (FRAP 31.5 ± 1.1 and DPPH 25.8 ± 2.9 µmol TE/g), anti-hyperglycemic and anti-inflammatory activity (27.3 ± 1.3% and 41.0 ± 3.4%) remained upon in vitro digestion. Replacing 14–28% of cereal and pseudo-cereal flour with BPF reduced the carbohydrate-to-fiber ratio to the recommended 10:1, while incorporation of 20% BPF into cookies reduced this ratio by 2.5-fold and the glycemic index from ~56 to ~30. Furthermore, long-term supplementation of standard and high-fat/high-sucrose diet with BPF (0.5% w/w) reduced feed efficiency by 1.7 and 2.6-fold respectively, and improved glucose tolerance in C57BL/6J mice. Findings show the effectiveness of the by-product in bridging the fiber intake gap and body weight regulation. Full article

Rice sheath blight caused by Rhizoctonia solani is one of the most destructive diseases of rice. Bixafen has been proposed as a promising control agent with moderate resistance risk; however, its cellular mode of action remains unclear. Therefore, this study investigated the antifungal mechanism of bixafen from the perspective of programmed cell death (PCD). Bioassays showed that bixafen strongly inhibited R. solani, with a median effective concentration (EC₅₀) of 1.16 μg/mL. Morphologically, bixafen induced hyphae collapse, vacuolization, chromatin aggregation, and mitochondrial disruption. Transcriptome analysis further revealed that bixafen significantly altered the expression of genes involved in the tricarboxylic acid cycle and PCD pathways. In addition, bixafen, at the concentration of EC₅₀, triggered ROS accumulation accompanied by increased malondialdehyde (MDA) levels. These oxidative effects led to mitochondrial damage, characterized by loss of membrane potential, reduced Tomm20 expression, and decreased Aco-2 activity. Subsequently, bixafen activated apoptosis, as evidenced by induction of the mitochondria-associated inducer of death (AMID), down-regulation of Bcl-2, and DNA fragmentation. Moreover, bixafen also induced autophagy by reducing p62 and increasing Beclin-1 expression, which suggests the clearance of damaged mitochondria. Collectively, these results demonstrated that bixafen induced mitochondrial-dependent apoptosis and autophagy in R. solani, which provided novel insights into its cellular antifungal mechanism and supported its potential as a PCD-targeted fungicide. Full article

This study employed near-infrared (NIR) spectroscopy for real-time spectral acquisition of fermentation broth in lab-scale bioreactors, comparing the performance of transflectance and transmission sensors through glucose modeling and prediction while optimizing modeling approaches. The results demonstrated superior adaptability of transflectance sensors in fermentation environments: in conventional fermentation, glucose models exhibited lower errors (RMSEC = 4.087 g/L, RMSEV = 9.829 g/L) compared to transmission sensors (RMSEC = 5.972 g/L, RMSEV = 10.904 g/L), with significantly higher predictive performance (RPD = 3.735 vs. 2.369), indicating enhanced fitting accuracy and stability. In complex natural media containing peptone and yeast extract, transmission sensor performance deteriorated dramatically due to turbidity interference (R²_cal = 0.134), whereas transflectance sensors maintained robust performance (R²_cal = 0.993), confirming their adaptability to complex matrices. Regarding modeling strategies, the 1550–1700 nm spectral region demonstrated optimal feature extraction capability (RMSEC = 3.269 g/L, R²_cal = 0.987). Basic preprocessing methods such as the moving average smoothing method have become the preferred preprocessing methods, as they strike a balance between calibration and prediction performance. Outlier removal analysis revealed that moderate elimination of 12 high-error samples (accounting for 30% of the total 39 samples) reduced RMSEC to 1.441 g/L and improved R²_cv to 0.996, optimizing model performance; however, excessive removal of outlier samples degraded model capability, necessitating judicious sample selection. For fixed total sample sizes, calibration sets comprising 70–80% of samples yielded more reliable predictions. In conclusion, transflectance sensors demonstrate superior compatibility with multicomponent fermentation systems. Combined with wavelength selection, moving average preprocessing, and rational sample removal and partitioning strategies, this approach provides an effective solution for NIR-based online glucose monitoring. Full article

The intensive use of synthetic pesticides and fertilizers has raised environmental concerns. Sustainable alternatives, such as plant biostimulants and plant resistance inducers, offer promising solutions by enhancing growth, yield, and stress tolerance or by activating defense responses against pathogens. However, the physiological impacts and combined effects of these products remain poorly understood, limiting evidence-based application strategies. Here, we evaluated the effects of a biostimulant and a plant defense inducer on durum wheat (Triticum turgidum ssp. durum), a key cereal crop in the Mediterranean Basin. Using controlled experiments, we assessed plant growth, chlorophyll content, defense gene expression and resistance to Zymoseptoria tritici, while considering potential trade-offs between growth promotion and defense activation. As expected, our results indicate that the biostimulant improved photosynthetic performance (19 to 45%), whereas the plant resistance inducer enhanced protection against Z. tritici (25% reduction in pycnidia). However, the combination of these two treatments can induce moderated interaction effects influenced by the varietal genetic background. This study provides novel insights into the interactions between plant growth promotion and defense induction in durum wheat. Understanding these multifactorial effects (in particular genotype effect) enables the identification of optimal treatment strategies, supporting the development of sustainable crop management practices that reduce chemical inputs while maintaining productivity and resilience under biotic stress. Full article

Fusarium head blight (FHB) is one of the most devastating diseases of cereal crops worldwide, causing yield losses and mycotoxin contamination. Traditionally associated with warm and humid climates, FHB has increasingly affected cooler and drier regions, including the Volga region of Russia—a major grain-producing area once considered low-risk. In this three-year field study, we evaluated FHB resistance in 50 winter rye accessions under natural infection and artificially enriched infectious backgrounds using high-virulence Fusarium strains from the Volga region. Post-invasive resistance to FHB was generally weak across the tested germplasm. Nevertheless, considerable variability in FHB damage was observed among accessions. Accessions showing the lowest overall FHB severity were identified as promising donors for breeding programs. Specific resistance sources to individual Fusarium species were identified, notably Fusarium sporotrichioides—previously regarded as a weak pathogen but demonstrated here as a serious food safety threat. No significant positive correlation was found between FHB severity and mycotoxin levels, confirming these as partially independent traits; several accessions maintained low mycotoxin content despite severe symptoms. Our study highlights the necessity of multi-environment screening with local pathogen strains and endorses pyramiding approaches for durable FHB resistance in winter rye breeding. Full article

Background: Childhood nutrition is essential for development and disease prevention. Parental dietary practices and sociodemographic factors shape children’s eating habits. Objective: To assess the association between parental diet quality, children’s diet, and nutritional status, as well as the influence of caregiver sociodemographic factors. Design: Cross-sectional analyses were conducted using data from two waves of the PASOS study (2019–2020 and 2022–2023), which are nationally representative multicentre observational surveys. The analyses were restricted to participants with complete information on parental diet quality, children’s diet quality, and relevant covariates. Methods: Participants aged 8–16 years from the PASOS 2019–2020 (n = 1028) and 2022–2023 (n = 572) studies were included. Caregivers provided sociodemographic information and completed the Short Diet Quality Screener (SDQS), a validated questionnaire to assess parental diet quality. Children’s diet quality was assessed using the validated KIDMED index. Based on parental SDQS scores, participants were classified into low (≤50th percentile) or adequate/high (>50th percentile) diet quality groups. Associations were analysed using logistic regression and Pearson correlation. Results: Higher parental diet quality was consistently associated with greater adherence to the Mediterranean diet and higher consumption of fruit, breakfast cereals, and fish among children in both study waves. Children whose caregivers had better diet quality also showed a lower prevalence of abdominal obesity. Parental diet quality was positively associated with children’s diet quality and inversely related to several adiposity indicators, although associations with anthropometric measures were generally weak. Conclusions: Family-based approaches are essential for improving diet quality and preventing childhood obesity. Full article

The increased demand for food worldwide has led to the widespread use of synthetic chemical fertilizers. Since the Green Revolution, the use of such chemical fertilizers has been in high demand as a nutrient input in agriculture. The increased application of fertilizer to upsurge crop yields is not suitable for the long term and leads to nutrient loss, as well as severe environmental and ecological consequences. In contrast to conventional fertilizers, nano fertilizers, which are designed at the 1–100 nm size, provide focused nutrient delivery, decreased leaching, and improved plant absorption. They accomplish this by greatly increasing crop yields, enhancing fertilizer usage efficiency, and facilitating sustainable farming in the face of obstacles, including resource scarcity, climate change, and a projected population size of 10 billion by 2050. In comparison to typical NPK fertilizers at equal nutrient rates, nano fertilizers enhanced crop yields by an average of 20–23% across cereals, legumes, and horticulture crops according to studies conducted between 2015 and 2024. In particular, using nano urea with rice increased grain yields by 28.6% with 44% less nitrogen input, and applying nano zinc to wheat increased yields by 31.2% and improved the grain’s Zn content by 41%. Through targeted foliar or soil application, nano fertilizers frequently increase nutrient use efficiency (NUE) by more than 50% as opposed to 30–50% for conventional fertilizers. Nano fertilizer is prepared based on the encapsulation of plant essential minerals and nutrients with a suitable polymer matrix as a carrier and then delivered as nano-sized particles or emulsions to the plants. Natural plant openings like stomata and lenticels in plant parts facilitate the uptake and diffusion, leading to higher NUE. This review provides an overview of current knowledge on the development of advanced nano-based and smart agriculture using nano fertilizer to improve nutritional management. Furthermore, nanoscale fertilizers and their formulation, nano-based approaches to increase crop production, the different types of fertilizers that are currently available, and the mechanism of action of the nano fertilizers are discussed. Thus, it is expected that a properly designed nano fertilizer could synchronize the release of nutrients in crop plants as and when needed. Full article

Hyaluronic acid (HA)–based nanocapsules containing plant-derived bioactives are promising formulations for dermatological applications. In this study, nanocapsules containing extracts of Arnica montana, Calendula officinalis and Aesculus hippocastanum were synthesized and their structural and functional properties were characterized. Scanning electron microscopy confirmed the formation of spherical nanostructures with uniform morphology, while rheological analyses demonstrated stable viscoelastic behavior suitable for topical application. Their antimicrobial potential was assessed on microorganisms isolated from multiple regions of healthy human skin and opportunistic pathogens. A diverse panel of approx. 100 bacterial and fungal isolates was identified using MALDI-TOF MS. The antimicrobial activity of formulations was compared with commonly used disinfectants: H₂O₂, octenidine, isopropanol and topical ophthalmic antiseptic. Arnica-based formulations showed the strongest inhibitory effect against both Gram-positive and Gram-negative bacteria, whereas chestnut extract demonstrated selective activity against Candida spp. Calendula-based formulations exhibited limited antimicrobial activity. These findings demonstrate that plant-extract-loaded HA nanocapsules exhibit selective antimicrobial properties dependent on extract type and microbial group, supporting their potential as multifunctional components of future dermatological formulations. Full article

Despite recent biotechnological advancements in the brewing industry, the effective valorization of spent grains from craft beer production remains challenging due to the nutritional variability of cereal-based raw materials. This study analyzes the proteins, free amino acids, fatty acids, and mineral composition of spent grains obtained from two beer types brewed with different proportions of maize grits and malted wheat, in order to assess the influence of adjunct composition. Protein content ranged between 25.81% and 28.43%, with higher values observed in the wheat-based spent grain. Total free amino acids were also higher in the wheat-based sample (190.03 mg/100 g) compared to the maize-based variant (178.66 mg/100 g). Both samples showed a similar fatty acid profile dominated by linoleic acid (51.39–51.58%), while phosphorus was the predominant mineral (up to 2700.03 mg/kg). These results suggest that adjunct type influences the nutritional characteristics of spent grains and provide a basis for their differentiated valorization in sustainable agri-food systems. Full article

Oral secretions (OS) of the Asian corn borer (Ostrinia furnacalis) play pivotal roles in its interactions with host plants. To systematically characterize the composition and potential functions of OS, 245 functionally annotated proteins from O. furnacalis reared on artificial diet were identified using an integrated approach combining transcriptomics and liquid chromatography–tandem mass spectrometry (LC-MS/MS). Bioinformatics analyses were further performed to predict 16 effector proteins. Subsequent tissue-specific expression assays were conducted to quantify the transcriptional levels of genes encoding these effector proteins in salivary glands, guts, and residual tissues. Among these genes, OfGDH2, OfPero2, OfPero3, and OfCBP were highly expressed in salivary glands, OfGDH3, OfRGD, OfEST1, OfEST2, OfMET, and Offerrin showed high expression in guts, while OfSP34 was abundantly expressed in both salivary glands and guts. This study represents the first systematic characterization of the molecular profile of O. furnacalis OS, thereby laying a solid foundation for future investigations into the molecular mechanisms underlying the host adaptation of this pest. Full article

Industrial hemp (Cannabis sativa L.) harvesting for grain represents a critical technological bottleneck in the modern supply chain, driven by a fundamental conflict between the plant’s resilient morphology and standard agricultural machinery. This review provides an analytical synthesis of harvesting methodologies, evaluating their performance against specific biological constraints such as extreme plant height (up to 4.5 m), high tensile fiber strength, and indeterminate ripening. Data synthesis reveals that hemp cutting is approximately 80 times more energy-intensive than for traditional forage crops, requiring an average maximum force of 243 N per stem. Comparative analysis demonstrates that while conventional whole-plant harvesting faces seed losses ranging from 26% to 46%, selective systems like specialized panicle mowers reduce these losses to nearly 2 kg·ha⁻¹ by targeting only the mature inflorescences. To ensure seed integrity and operational stability, the review identifies concrete technological priorities: the use of abrasion-resistant alloys for cutting edges, the implementation of non-binding shaft shielding (e.g., ABS piping), and a 40–50% reduction in threshing cylinder speeds compared to cereal settings. Future advancements must focus on specialized, high-clearance selective machinery and adaptive control systems to reconcile hemp’s unique physiology with industrial-scale efficiency. Full article

Codon usage bias (CUB) in mitochondrial genomes reflects evolutionary forces such as mutation, selection, and genetic drift, yet its dynamics in early-diverging fungal lineages like Conidiobolus (Zoopagomycota) remain unclear. This study systematically analyzed mitochondrial core protein-coding genes (PCGs) from eight Conidiobolus species to elucidate the drivers of CUB and phylogenomic patterns. Nucleotide composition revealed pronounced AT richness (73.32% ± 3.38%) and low GC3 (13.40% ± 5.11%), indicating a preference for A/T-ending codons. Neutrality and ENC-GC3s plots demonstrated that natural selection, rather than mutation pressure, predominantly shaped codon bias, supported by weak GC12-GC3 correlations (slopes: 0.037–0.335) and significant ENC deviations from mutation-driven expectations. PR2-bias analysis further highlighted a strong bias toward A over T and C over G. Correspondence analysis linked major codon usage variations to GC3s, CAI, and FOP indices. Phylogenetic reconstructions based on relative synonymous codon usage (RSCU) and concatenated mitochondrial sequences revealed discordant topologies, particularly in the placement of C. polytocus and C. polyspermus, suggesting divergent evolutionary trajectories. Optimal codon analysis identified species-specific preferences dominated by A/T termini. These findings underscore natural selection as the primary force driving AT-biased mitochondrial CUB in Conidiobolus, while phylogenomic discordance highlights complex evolutionary pressures in this ecologically diverse fungal genus. This study provides foundational insights into mitochondrial genome evolution and codon adaptation mechanisms in early-diverging fungi. Full article