Search Results (287)

Enzymes of the sulfur assimilation pathway represent promising candidates for selective herbicide development. This study investigated the effects of O-benzyl-serine (OBS), a newly identified inhibitor of O-acetylserine(thiol)-lyase (OAS-TL), on two C3 weed species, Ipomoea grandifolia and Euphorbia heterophylla. Plants were cultivated hydroponically for 12 days in the presence of OBS (0–500 µM). OBS inhibited root growth in both species in a dose-dependent manner, with I. grandifolia being more sensitive. OAS-TL activity decreased in the roots of I. grandifolia but increased in the leaves of E. heterophylla. Nutrient profiling revealed significant alterations in sulfur, magnesium, and calcium contents, associated with chlorosis and reduced root and leaf development. While photosynthetic performance appeared unaffected at the lowest OBS concentration tested (62.5 µM), higher doses drastically reduced leaf expansion, preventing further measurements. Given this marked decline in foliar development, it is reasonable to infer that the overall photosynthetic capacity of the plants was also negatively affected under severe OBS exposure. OBS also disrupted apical dominance, promoting lateral shoot formation. These findings demonstrate that OBS differentially affects sulfur metabolism and growth in a species- and organ-specific manner, supporting its potential as a prototype molecule for herbicides targeting novel biochemical pathways. Full article

Soluble sugars are the key photo-assimilates in higher plants, playing critical roles in growth, development, and stress regulation. The transport of sugars in plants involves the coordinated action between several sugar transporter families, including the SUT, STP, pGlcT, VGT, TMT, INT, PLT, SFP, and SWEET families. Over recent decades, numerous studies have elucidated the molecular functions of major sugar transporters. Phylogenetic and evolutionary analyses support the conservation of substrate specificity and transport direction, at least to some extent. Structural analyses have provided key insights into the structural–function relationships of important transporters (e.g., OsSWEET2b and AtSTP10), which can be effectively leveraged for artificial intelligence (AI)-enabled protein structure prediction and rational design. Advances in omics technologies now enable low-cost, routine transcriptome profiling and cutting-edge techniques (e.g., single-cell multi-omics and spatiotemporal RNA-seq), providing unprecedented ways to understand how sugar transporters function coordinately at multiple levels. Here, we describe the classification of major sugar transporters in plants and summarize established functional knowledge. We emphasize that recent groundbreaking advances in AI-enabled protein analyses and multi-omics will revolutionize molecular physiology in crops. Specifically, the integration of functional knowledge, AI-based protein analyses, and multi-omics will help unravel the orchestration of different sugar transporters, thereby enhancing our understanding of how sugar transportation and source–sink interactions contribute to crop development, yield formation, and beyond, ultimately boosting carbohydrate transport- related crop improvement. Full article

Precocious-fruiting Amomum villosum Lour. is characterized by early fruit set, rapid yield formation, and shortened economic return cycles, indicating strong cultivation potential. However, the molecular mechanisms underlying its flowering transition remain unclear. To elucidate the flowering mechanism of A. villosum, we used the Illumina NovaSeq X Plus platform to compare gene expression profiles in three tissues (Rhizomes, R; Stems, S; Leaves, L) during the vegetative stage and three tissues (Rhizomes and Inflorescences, R&I; Stems, S; Leaves, L) during the flowering stage of individual plants: VS-R vs. FS-R&I, VS-S vs. FS-S, and VS-L vs. FS-L. We obtained 52.5 Gb clean data and 789 million reads, and identified 2963 novel genes. The 3061 differentially expressed genes (DEGs, FDR ≤ 0.05 and |log2FC| ≥ 1) identified in the three comparison groups included six overlapping genes. The DEGs were enriched primarily in GO terms related to cellular process, metabolic process, binding, catalytic activity, and cellular anatomical entity, as well as multiple terms associated with development and reproduction. KEGG enrichment analysis revealed enrichment primarily in metabolic pathways, including global and overview maps, energy metabolism, and carbohydrate metabolism. Moreover, the most significantly enriched core pathways included metabolic pathways, photosynthesis, and carbon assimilation. Among all alternative splicing (AS) events, skipped exons (SEs) accounted for the largest proportion (59.5%), followed by retained introns (RI, 19.4%), alternative 3′ splice sites (A3SS, 10.7%), alternative 5′ splice sites (A5SS, 6.8%), and mutually exclusive exons (MXE, 3.6%). A preliminary set of 43 key DEGs was predicted, displaying spatiotemporal expression specificity and strong interactions among certain genes. Nine genes were further selected for RT-qPCR validation to confirm the reliability of the RNA-seq results. This study established a foundational framework for elucidating the flowering mechanism of precocious-fruiting A. villosum. Full article

With growing emphasis on antibiotic-free poultry production, functional probiotics represent a promising strategy to improve gut health and reduce pathogen transmission. This study characterized three lactic acid bacteria (LAB) strains Lactobacillus delbrueckii subsp. bulgaricus NRRL-B-548 (LD), Lacticaseibacillus paracasei DUP-13076 (LP), and Lacticaseibacillus rhamnosus NRRL-B-442 (LR) for their probiotic potential and evaluated their efficacy against Salmonella enterica in poultry. The LAB strains were assessed for acid and bile tolerance, lysozyme resistance, cholesterol assimilation, antimicrobial activity, surface hydrophobicity, epithelial adherence, hemolysis, and antibiotic susceptibility. Genomic analysis was performed to identify genes associated with probiotic functionality. The protective potential of LR and LP was further validated in hatchlings using a hatchery spray model challenged with Salmonella Enteritidis. All strains survived simulated gastric and intestinal conditions, exhibited strong adhesion to epithelial cells, and demonstrated high hydrophobicity, indicating robust colonization capacity. The LAB significantly inhibited Salmonella Enteritidis, S. Typhimurium, and S. Heidelberg growth in vitro and remained sensitive to clinically relevant antibiotics. In vivo application of LR and LP to hatching eggs markedly reduced S. Enteritidis colonization in the liver, spleen, and ceca of hatchlings. Further, genomic profiling of the LAB strains revealed genes for bacteriocin production, exopolysaccharide synthesis, and carbohydrate metabolism supporting probiotic function. In summary, the evaluated LAB strains exhibit multiple probiotic attributes and strong anti-Salmonella activity, confirming their potential as safe, hatchery-applied probiotics for improving gut health and biosecurity in poultry production systems. Full article

Foliar application of fertilizers and bioactive compounds helps viticulture adapt to climate change, while biochar (BC) derived from grapevine pruning residues (GPRs) represents a versatile material that further contributes to climate change mitigation. In this study, the foliar application impact of seven different formulations on the chemical composition and quality of must and wine of Malvazija istarska (Vitis vinifera L.) was investigated. The suspensions contained various combinations of BC, urea, and amino acids. BC increased the pH of the solutions in which it was present due to its alkaline nature, thereby influencing the uptake of nutrients and other compounds. Treatments C (control) and A (amino acids) led to the highest amount of yeast-assimilable nitrogen (YAN) (170 and 172 mg N/L). The amino acid profile of the must differed from the typical composition, with glutamine identified as the predominant compound. The combination of BC with urea and amino acids was associated with a higher sugar concentration in the must compared to the application of BC alone, ranging from 208 to 223 g/L. Combining BC with other components led to wines that received superior sensory evaluation scores compared to both C and B. BC alone did not influence must or wine quality. However, its application in combination with other components makes it a suitable carrier for such compounds. Due to its benefits, easy and cheap production, foliar application of BC suspensions with fertilizers can become a standard operation in viticulture and contribute to sustainable fertilization. Full article

This study investigates the adaptive mechanisms that enable a single wild barley (Hordeum spontaneum) accession to withstand extreme salinity. Salt stress reshapes plant metabolism and gene expression, offering targets for breeding salt-tolerant cereals. A time-course RNA-Seq experiment was conducted on leaves exposed to 500 mM NaCl, followed by differential expression and functional annotations to characterize transcriptomic responses. Transcriptomic profiling identified 140 dynamically upregulated genes distributed across 19 interconnected metabolic pathways, with phased activation of oxidative phosphorylation, nitrogen assimilation, lipid remodeling, and glutathione metabolism. Central metabolic nodes, including acetyl-CoA, hexadecanoyl-CoA, and ubiquinone, coordinated bioenergetic output, membrane stabilization, and redox homeostasis. Ribose-5-phosphate and ribulose-5-phosphate linked glycolysis and the pentose phosphate pathway, supplying NADPH for antioxidant defense and nucleotide repair, while riboflavin derived from Ru5P enhanced flavoprotein activity. In parallel, glucose and fructose-6-phosphate supported osmotic adjustment and glycolytic flux, and increased sterol and cuticular lipid biosynthesis, including cholesterol-like compounds, reinforced membrane integrity and calcium signaling. Glutathione and N-acetyl-glutamate together mitigated oxidative stress and modulated polyamine metabolism, strengthening cellular resilience under salt stress. These findings outline a coordinated network of metabolic and redox pathways that can guide the engineering of salt-tolerant cereals for sustainable production in saline agroecosystems. Full article

FY-4B/GIIRS (Geostationary Interferometric Infrared Sounder) is a new-generation infrared hyperspectral atmospheric vertical sounder onboard a Chinese geostationary meteorological satellite. Its observations with high spatial and temporal resolution play an important role in high-impact weather forecasts. The GIIRS data assimilation module is developed in the GSI (Gridpoint Statistical Interpolation) assimilation system. Super Typhoon Doksuri in 2023 (No. 5) is taken as an example based on this module in this paper. Firstly, the sensitivity of analysis fields to five data thinning schemes at four daily assimilation times from 22 to 28 July 2023 is analyzed: the wavelet transform modulus maxima (WTMM) scheme, the grid-distance schemes of 30 km, 60 km, and 120 km in the GSI assimilation system, and a center field of view (FOV) scheme. Taking the ERA5 reanalysis fields as true, it is found that the mean error of temperature and humidity analysis for the WTMM scheme is the smallest, followed by the 120 km thinning scheme. Subsequently, a 72 h cycling assimilation and forecast experiments are conducted for the WTMM and 120 km thinning schemes. It is found that the root mean square error (RMSE) profiles of temperature and humidity forecast fields with no thinning scheme are the largest at all pressure levels and forecast times. The temperature forecast error decreases after data thinning at altitudes below 300 hPa. Since the WTMM scheme has assimilated more observations than the 120 km scheme, the accuracy of its temperature and humidity forecast fields gradually increases with the forecast time. In terms of typhoon track and intensity forecast, the typhoon intensities are underestimated before landfall and overestimated after landfall for all thinning schemes. As the forecast time increases, the advantage of the WTMM is increasingly evident, with both the forecast intensity and track being closest to the actual observations. Similarly, the forecasted 24 h accumulated precipitation over land is overestimated after typhoon landfall compared with the IMERG Final precipitation products. The location of precipitation simulated by no thinning scheme is more westward overall. The forecast accuracy of the locations and intensities of severe precipitation cores and the typhoon’s outer spiral rain bands over the South China Sea has been improved after thinning. The Equitable Threat Scores (ETSs) of the WTMM thinning scheme are the highest for most precipitation intensity thresholds. Full article

Sugarcane bagasse (SCB) is a lignocellulosic byproduct with low biodegradability, limiting its potential for biological processes such as biogas production. The objective of this study was to evaluate whether a short-term biological pretreatment with the cellulolytic bacterium Proteus mirabilis KC94 could enhance SCB hydrolysis, improve nutrient balance, and increase biomethane potential (BMP). Three treatments were compared: untreated bagasse (UB), sterilized bagasse (SB), and KC94-pretreated bagasse (PB). Glucose release was highest in PB (61.83 ± 0.8 mg/mL), indicating enhanced cellulose degradation in PB relative to UB (53.19 ± 0.9 mg/mL) and SB (44.00 ± 0.5 mg/mL). Elemental analysis revealed a more balanced nutrient profile in PB, characterized by optimal carbon and nitrogen levels, and reduced sulfur content, indicating microbial assimilation and potential biological desulfurization. Scanning electron microscopy revealed pronounced structural disruption, increased porosity, and fiber delamination in PB, confirming the efficacy of KC94-mediated lignocellulosic pretreatment. BMP assays conducted over a 31-day incubation period revealed that PB produced the highest cumulative methane yield (99 ± 0.7 mL CH₄/g VS), representing 19% and 25% increases over UB and SB, respectively. PB biomethanation was also faster compared to the other two substrates. These findings demonstrate the novelty of a 5-day bacterial pretreatment strategy, which significantly improves lignocellulosic hydrolysis and methane yield. Specifically, P. mirabilis KC94 pretreatment increased glucose release by 16–40% and cumulative methane yield by 19–25% compared to untreated and sterilized controls. This cost-effective and environmentally friendly approach highlights the potential of P. mirabilis KC94 to valorize sugarcane bagasse, advancing sustainable energy recovery and circular bioeconomy practices. Full article

The capacity of the Valencian fruit and vegetable sector (i.e., cooperatives) to absorb knowledge has been analysed, as well as the influence of this capacity on the adoption of technological innovations and production processes. This objective is motivated by the multiple challenges currently facing the agricultural sector. The dominance of large distribution chains and competition from products imported from other countries have increased production costs without a proportional increase in income. The study was conducted with a sample of 14 fruit and vegetable companies and cooperatives. This study explored how these organisations acquire and assimilate knowledge from abroad and the barriers they face in this process. The results reveal that the extent of assimilation is fundamental to transforming potential absorption capacity into reality. Acquiring knowledge is not the problem, given the abundance of information available. The challenge lies in discerning which knowledge is relevant and aligning it with the needs of the organisation and its customers. The importance of generational change and team dynamics in knowledge consolidation is evident. The importance of effectively managing knowledge assimilation for the success of innovation in agri-food cooperatives is highlighted. In addition, common barriers to the implementation of innovation are identified. The lack of gender diversity is evident in the leadership profiles of cooperatives, highlighting the need for future research addressing absorptive capacity from a gender perspective. Full article

As a primary macronutrient, nitrogen is integral to plant growth and regulates their development; ammonium transporters (AMTs) mediate nitrogen absorption and its involvement in metabolism. In this study, nine BcAMT genes were identified in flowering Chinese cabbage (Brassica campestris) and were systematically categorized into two subfamilies. Their evolutionary relationships, conserved motifs, chromosomal distribution, cis-regulatory elements, and expression profiling were systematically characterized. RNA sequencing and quantitative real-time PCR (qRT-PCR) analyses demonstrated that BcAMT1.1 was abundantly expressed in roots, leaves, and stems of flowering Chinese cabbage and was markedly upregulated under nitrogen deficiency. Assessing subcellular location using GFP fusion demonstrated that BcAMT1.1 localized to the plasma membrane. Functional assays identified heterologous expression in the yeast mutant strain 31019b, and transgenic Arabidopsis validated that BcAMT1.1 acted as a functional ammonium transporter. Compared with the wildtype, overexpressing BcAMT1.1 promoted seedling growth, enhanced NH₄⁺ influxes and NO₃⁻ effluxes under low-nitrogen conditions, and significantly increased the transcription levels of key nitrogen assimilation genes (i.e., AtGLN1.1, AtGLN2, AtGDH2). Collectively, our findings enhance the fundamental understanding of BcAMT gene functions and highlight BcAMT1.1 as a crucial component in nitrogen uptake and assimilation under low-nitrogen conditions, providing valuable genetic resources for improving nitrogen efficiency in vegetable crops. Full article

Rice (Oryza sativa) is a major staple crop that feeds over half of the world’s population. However, its cultivation depends heavily on nitrogen fertilizers, which increase both environmental impacts and production costs. Enhancing the sustainable use of nitrogen is therefore essential for maintaining global food security. Previously, we characterized an aquaporin (VgPIP1;2) from the bromeliad Vriesea gigantea that transports ammonium and has great biotechnological potential. Here, we investigated the effect of VgPIP1;2 heterologous expression on rice, particularly in root development and nitrogen metabolism. Transgenic plants cultivated in hydroponics exhibited a larger root network area compared to wild type plants. Biochemical and metabolomic analyses revealed that the roots of VgPIP1;2 overexpressing plants have higher contents of nitrogen, free amino acids and sugars. In line with these results, the transcriptional profile showed that genes involved with nitrogen uptake and assimilation, amino acid biosynthesis and sugar metabolism are upregulated in transgenic plants. These findings indicate that VgPIP1;2 overexpression positively modulates nitrogen and carbon metabolism, altering root development in rice. Thus, the expression of VgPIP1;2 would represent a potential strategy to develop new rice cultivars with improved root architecture suited to enhance nitrogen absorption and assimilation. Full article

Agro-industrial processes generate large volumes of by-products rich in proteins, lipids, and bioactives, yet their valorization remains limited. Black soldier fly larvae (BSFLs) offer a sustainable route to convert these residues into nutrient-rich biomass. We evaluated six seasonal by-product diets (pea–chickpea, chickpea–green bean, wheat–green bean, spinach–chickpea, tomato–chickpea, tomato–wheat) and profiled diets and larvae for tocopherols, carotenoids, fatty acids, and amino acids; principal component analysis assessed assimilation patterns. Larvae did not mirror diets but clustered into two compositional regimes, indicating selective metabolism. Tomato-based diets enhanced larval α-tocopherol (22.54 mg/kg dw) and lycopene (6.87 mg/kg dw), while spinach-based diets contributed higher lutein and other xanthophylls. Significant diet–larvae correlations were observed for lycopene (r = 0.6719) and β-cryptoxanthin (r = 0.5845). Across treatments, lauric (C12:0) and palmitic (C16:0) acids remained dominant, confirming the conserved BSFL lipid hierarchy (SFA > MUFA > PUFA). Amino acid profiles were relatively stable, with lysine and glutamic acid prevailing among essential and non-essential classes. Overall, BSFLs enriched with tocopherols and provitamin A carotenoids offer functional benefits for oxidative stability and micronutrient restoration, underscoring their dual role in waste valorization and nutritional enhancement within circular food and feed systems. Full article

Background/Objectives: Genome-scale metabolic models (GSM) are key tools for predicting microbial physiology, yet species within the genus Lentilactobacillus remain largely unexplored. Lentilactobacillus kefiri DH5 is an obligately heterofermentative lactic acid bacterium with unique redox metabolism, but no curated GSM model exists for this species. This study aimed to generate the first GSM model for L. kefiri DH5, evaluate multiple reconstruction tools, and characterize metabolic features underlying its heterofermentative metabolism. Methods: Draft GSM models were generated from the L. kefiri DH5 genome annotation using five reconstruction tools. For each tool, gap-filling was performed on a CDM, followed by quality assessment using the MEMOTE. Manual curation was performed using the COBRApy library. Results: Among the five reconstructions, the KBase-derived draft demonstrated the highest quality and production potential for metabolites characteristic of heterofermentative fermentation. During manual curation of this model, reaction directions in central carbon metabolism and amino acid pathways were corrected. Analysis further identified an alternative NADH-regenerating glucose shunt via D-gluconate, supported by omics data and enzyme promiscuity considerations. Incorporation of this pathway resolved the redox imbalance and allowed the model to reproduce metabolic exchange profiles characteristic of obligate heterofermenters. Conclusions: We developed the first manually curated genome-scale model of L. kefiri DH5 and showed that the choice of reconstruction tool substantially affects model quality and predictive power. We also proposed an alternative glucose assimilation shunt via gluconolactone, which resolved the redox imbalance in the model and enabled representation of the heterofermentative metabolism. Full article

As climate change intensifies, enhancing numerical weather prediction (NWP) accuracy has been increasingly critical. While data assimilation optimizes NWP initial conditions, its effectiveness over complex terrain requires further systematic evaluation. This study implemented a high-resolution WRF/4D-Var data assimilation framework, overcoming its inherent limitation of not supporting two-layer nested assimilation across domains by designing a two-layer nested “assimilation-forecast” workflow. Representative winter and summer cases from February and June 2019 were selected to evaluate improvements in near-surface and upper-air meteorological parameters. The results indicated that the 4D-Var data assimilation significantly improved the correlation coefficients of near-surface variables during winter by 2.9% (temperature), 14.5% (relative humidity), 6.6% (wind speed), and 10.4% (wind direction), with even greater improvements observed in summer reaching 13.3%, 5.8%, 35.3%, and 42.3%, respectively. Meanwhile, 4D-Var considerably enhanced the atmospheric vertical profiling, with the middle troposphere (300–700 hPa) exhibiting the most pronounced improvement. Among different surface types, water bodies exhibited the strongest assimilation response. Results also revealed systematic corrections to the background fields, with February exhibiting more uniform adjustments in contrast to June’s complex spatiotemporal patterns. Positive effects persisted throughout the 24-h forecasts, with the maximum benefit occurring within the first 12 h. These results demonstrate the effectiveness of 4D-Var in regional meteorological forecasting, highlighting its value for constructing high-precision multidimensional meteorological fields to support both weather and air quality simulations. Full article

Owing to their high vertical resolution, remote sensing data from meteorological satellite hyperspectral infrared sounders are well-suited for the identification, monitoring, and early warning of high-impact weather events. The effective utilization of full field-of-view (FOV) observations from satellite infrared sounders in high-impact weather applications remains a major research focus and technical challenge worldwide. This study proposes a generalized variational retrieval framework to estimate full FOV cloud fraction and precipitable water vapor (PWV) from observations of the Geostationary Interferometric Infrared Sounder (GIIRS) onboard the Fengyun-4A (FY-4A) satellite. Based on this method, experiments are performed using high-frequency FY-4A/GIIRS observations during the landfall periods of Typhoon Lekima (2019) and Typhoon Higos (2020). A three-step channel selection strategy based on information entropy is first designed for FY-4A/GIIRS. A constrained generalized variational retrieval method coupled with a cloud cost function is then established. Cloud parameters, including effective cloud fraction and cloud-top pressure, are initially retrieved using the Minimum Residual Method (MRM) and used as initial cloud information. These parameters are iteratively optimized through cost-function minimization, yielding full FOV cloud fields and atmospheric profiles. Full FOV brightness temperature simulations are conducted over cloudy regions to quantitatively evaluate the retrieved cloud fractions, and the derived PWV is further applied to the identification and analysis of hazardous weather events. Experimental results demonstrate that incorporating cloud parameters as auxiliary inputs to the radiative transfer model improves the simulation of FY-4A/GIIRS brightness temperature in cloud-covered areas and reduces brightness temperature biases. Compared with ERA5 Total Column Water Vapour (TCWV) data, the PWV derived from full FOV profiles containing cloud parameter information shows closer agreement and, at certain FOVs, more effectively indicates the occurrence of high-impact weather events. The simplified methodology proposed in this study provides a robust basis for the future assimilation and operational utilization of infrared data over cloud-affected regions in numerical weather prediction models. Full article