Search Results (10,288)

This study addresses the multi-objective optimization of characterizing a flat glass processing plant. To assess the operational conditions required for a flat glass processing small and medium-sized enterprise (SME) to become a prosumer compatible with renewable energy community (REC) participation. This work is motivated by the presence of more than 300 SMEs in Italy, like this, where RECs represent one of the few viable strategies for achieving the European Union’s 2050 decarbonization targets. The research is carried out in two scenarios; Scenario-I includes Stage-i and Stage-ii with the mutual goal of forecasting and optimizing. Forecasting is used in Stage-i to optimize the factory load, and in Stage-ii to shift and curtail energy loads based on the forecast, considering the Italian national energy price and the regional price bands (“fasce orarie”) F1, F2, and F3. Forecasting and the indicators of environmental and social performance are the means to ensure the best energy utilization and management, as they prove that the reduction in CO₂ emissions and benefits on the community level can be both obtainable. Subsequently, the techno-economic analysis and evaluation of prosumer-readiness conditions are carried out through the optimization of industrial energy demand: three optimization objectives are assessed in this study (i) energy cost, (ii) carbon emission, and (iii) load curtailment. Four algorithms are put into effect to solve the tri-objective optimization: multi-objective particle swarm optimization (MOPSO), multi-objective ant nesting algorithm (MOANA), non-dominated sorting genetic algorithm (NSGA-II), and multi-objective grey wolf optimization (MOGWO). The algorithms are validated in Stage-ii to find the desired optimum in the cost of energy, reduce peak formation, and carbon emissions. To achieve this goal, a stochastic approach based on Monte Carlo simulations and VIKOR is used to optimally select the results. The findings show that the NSGA-II, MOPSO, and MOANA are more effective in solving the problem, while the MOGWO algorithm more quickly finds the optimal solution. Based on the defined objectives, a new configuration for the energy community is introduced, together with a community well-being index and an evaluation of the resulting benefits for the factory. In Scenario-II, the PV plants’ installation on the factory is sized, and the excess energy shared with the grid is evaluated. The Scenario-II results show that 497.184 MWh (33.9%) of energy is shared with the grid. Both results suggest how optimized industrial demand profiles improve SME participation in future RECs. Full article

Aconitum soongaricum, a medicinal plant endemic to the Tianshan Mountains in Xinjiang, China, produces numerous natural compounds with potential medicinal value. Mitochondria function as energy hubs and play critical roles in plant development and stress adaptation; thus, their genomic composition underpins biological functions. Here, we assembled the complete mitochondrial genome of A. soongaricum using next- and third-generation sequencing data and performed comparative analyses with related species. The mitochondrial genome exhibited a typical circular structure of 487,849 bp with a GC content of 46.80%. A total of 77 genes were annotated, including 41 protein-coding genes (PCGs), three rRNAs, 31 tRNAs, and two pseudogenes. The genome showed a strong A/U bias at the third codon position and displayed C-to-U RNA editing transitions, whereas no U-to-C transitions were estimated. Maximum-likelihood phylogenetic analysis supported a close relationship among A. soongaricum, A. carmichaelii, and A. kusnezoffii, confirming the utility of mitochondrial genomes for genetic relationship inference in genus Aconitum. Divergence time estimation placed the differentiation of A. soongaricum from the other two species at approximately 4.19 million years ago (Mya). Additionally, we evaluated the expression levels of NADH dehydrogenase (nad) genes across different tissues and under drought stress using real-time PCR, revealing diverse expression patterns. Collectively, this study provides a foundation for future investigations into the genetic mechanisms underlying evolution, energy metabolism, and environmental adaptation in A. soongaricum. Full article

Rice (Oryza sativa L.) production is constantly threatened by devastating diseases such as rice blast, bacterial blight, and brown planthopper infestation. The AP2-type transcription factor OsHTR (also known as SMOS1/SHB/RAL1/NGR5/GR5) has been previously implicated in hormonal signaling networks and nitrogen use efficiency; however, its role in disease resistance remains largely unexplored. In this study, we functionally characterized OsHTR in disease resistance using knockout (KO) and overexpression (OE) transgenic lines in the ZH11 background. Transcriptome analysis revealed that differentially expressed genes in the htr mutant were significantly enriched in plant–pathogen interaction pathways, with multiple NBS-LRR and NB-ARC resistance-related genes upregulated. Real-time PCR validation confirmed the upregulation of 15 candidate resistance genes in the htr mutant. Comprehensive resistance evaluations suggested that HTR-KO lines exhibited enhanced resistance to rice blast and bacterial blight compared to wild-type ZH11 and HTR-OE lines, which displayed moderate susceptibility. In contrast, all lines remained highly susceptible to brown planthopper, indicating a disease-specific regulatory function of OsHTR. Furthermore, targeted knockout of individual upregulated resistance-related genes (LOC_Os10g04090, LOC_Os12g29690, LOC_Os02g11980, and LOC_Os11g11770) and OsHTR-interacting gene LOC_Os06g03710 confirmed their distinct contributions to blast and bacterial blight resistance but did not establish them as direct targets of OsHTR. Collectively, our results indicate that OsHTR functions as a negative regulator of disease resistance in rice, likely acting through transcriptional repression of defense-related genes, although direct binding remains to be demonstrated. This study uncovers a novel regulatory module connecting AP2-type transcription factors to disease resistance and provides valuable genetic resources for molecular breeding of broad-spectrum-resistant rice cultivars. Full article

Drought stress is one of the most prevalent abiotic stressors and severely impairs plant growth and productivity. Therefore, identifying functional genes associated with drought tolerance is essential for the molecular breeding of drought-resistant crops. The RD22 (Responsive to Desiccation 22) gene family encodes conserved BURP domain-containing proteins that participate in plant responses to drought stress. In this study, two RD22 homologs, DsRD22a and DsRD22b, were isolated and characterized from the drought-tolerant ornamental species Dianthus spiculifolius. Sequence analysis showed that both proteins contain a conserved BURP domain and are typical members of the RD22 family. Tissue-specific expression analysis revealed that both genes were predominantly expressed in leaves and stems. Abiotic stress assays demonstrated that the expression levels of DsRD22a and DsRD22b were significantly induced by abscisic acid (ABA), osmotic stress, and salt stress, whereas their transcriptional responses to relatively low-temperature and oxidative stress were relatively weak. Subcellular localization analysis indicated that DsRD22a and DsRD22b proteins are localized in the cytoplasm. Heterologous overexpression assays showed that transgenic Arabidopsis thaliana lines overexpressing DsRD22a or DsRD22b exhibited significantly enhanced tolerance to salt and osmotic stresses compared with wild-type (WT) plants. Soil drought assays further confirmed that the transgenic lines had higher soluble protein contents and improved drought tolerance than WT plants. These findings suggest that DsRD22a and DsRD22b positively regulate plant responses to drought stress, potentially by promoting soluble protein accumulation. Collectively, DsRD22a and DsRD22b represent valuable candidate genes for the genetic improvement of drought tolerance in plants. Full article

African soils face increasing levels of metal pollution due to industrialization, artisanal mining activities, improper waste management, and enhanced agricultural productivity. However, unlike many organic pollutants, heavy metals do not degrade naturally and therefore persist in environmental systems for prolonged periods. Heavy metals accumulate over many decades in the soil and bioaccumulate through the food chain causing severe health complications such as cancer, kidney problems, and neurological impairment. This paper reviews the current literature on the origin, prevalence, and behavior of the main pollutants Pb, Cd, Cr, As, Hg, and Cu. The major phytoremediation methods including phytoextraction, rhizofiltration, phytostabilization, and phytovolatilization are highlighted alongside in planta screening methods for hyperaccumulating plants including Berkheya coddii (Ni) and Haumaniastrum robertii (Co). The paper evaluates various enhancement techniques such as the use of chelators, Rhizobium inoculations, and genetic modifications. The significance of these approaches in tropical and subtropical climates is discussed. The paper suggests a holistic framework involving empirical kinetic modeling, geospatial machine learning (random forest, kriging), and molecular omics in prediction modeling. Major hurdles in such predictions include lack of field-based verification of the models, biotechnology safety of genetically modified (GM) organisms, and inadequate regulations. Future perspectives emphasize community-driven phytomining, biomass recycling, and resilient phytoremediation solutions. Full article

Taraxacum kok-saghyz (T. kok-saghyz) is a promising alternative crop for natural rubber production, in which root development is closely associated with rubber synthesis; however, the molecular mechanisms governing root architecture formation remain largely unclear. NAC transcription factors play pivotal roles in plant root development, yet their functions in T. kok-saghyz have not been systematically investigated. In this study, a genome-wide analysis identified 34 NAC family members in T. kok-saghyz. Through transcriptomic analysis following methyl jasmonate (MeJA) treatment, 27 genes significantly responsive to MeJA signaling were screened. Sequence analysis revealed that all TkNAC proteins contain a conserved NAM domain. Subcellular localization assays confirmed that TkNAC16, TkNAC20, TkNAC23, and TkNAC30 are localized to the nucleus. Yeast two-hybrid and bimolecular fluorescence complementation assays demonstrated that TkNAC16/18/20/23/30 can form extensive heterodimers. Overexpression lines of T. kok-saghyz exhibited significantly increased root length, while leaf growth exhibited line- and stage-specific effects. Collectively, this study provides the first systematic identification of the NAC transcription factor family in T. kok-saghyz, elucidates their involvement in methyl jasmonate signaling responses, the construction of heterodimerization networks, and the positive regulation of root elongation. These findings provide crucial genetic resources and a theoretical basis for dissecting the molecular mechanisms underlying the coordinated improvement of root development and rubber yield in T. kok-saghyz. Full article

Monitoring genetic gain is critical for evaluating breeding program performance. This study assessed genetic trends in the Zambia national maize breeding program using historical data (2001–2017) from 2225 hybrids tested across years and locations. Best linear unbiased estimates (BLUEs) were calculated, and genetic trends were determined by regressing entry means on first-year testing data. Mean heritability was moderate for grain yield, plant height, and ear height, and high for anthesis and silking dates, indicating strong reliability for flowering traits. Significant positive genetic gains were observed for most traits except days to silking. Grain yield (GY) increased at 0.021 t ha⁻¹ per year (0.85% annually), reflecting progress but remaining below levels required to meet regional future production demands. Plant and ear height increased by more than 1.3 cm annually, suggesting directional selection for taller plant architecture. Grain texture declined by 1.28% per year, indicating a shift toward flint-type kernels. Anthesis date and ears per plant showed minimal genetic variation. Regression models explained more than 15% of the total variation in plant height, ear height, ear number, and grain texture, confirming consistent genetic progress. Although measurable gains were achieved, the study’s baseline indicates that accelerating yield improvement will require rapid-cycle breeding, enhanced trait heritability, modern breeding tools, and a strategic reallocation of resources to sustain long-term impact. Full article

Madhuca indica J.F.Gmel. holds significant economic and industrial value due to its applications in traditional and modern medicine. Its oil is especially important for biodiesel production, owing to its high acid value and suitability as a non-edible feedstock. However, propagation is difficult due to low seed germination, seed recalcitrance, and poor rooting of stem cuttings, limiting large-scale multiplication through conventional methods. To address these limitations, a regeneration protocol using nodal explants was developed. Murashige and Skoog (MS) medium augmented with BA (5.0 µM) and NAA (0.5 µM) produced a maximum of 7.10 ± 0.11 shoots per explant with an average shoot length of 4.53 ± 0.22 cm after six weeks. Rooting was achieved on half-strength medium supplemented with IBA (1.0 µM), resulting in 4.83 ± 0.17 roots per shoot and a root length of 4.50 ± 0.20 cm. In vitro-derived plants were successfully acclimatised in Soilrite with an 82.3% survival rate. The explants were derived from aseptic seedling material, representing juvenile rather than mature elite donor sources. Direct shoot bud development was verified by histological examination. Within the resolution of the employed marker systems, no polymorphism was found utilising RAPD and ISSR markers. SEM showed similar leaf surface characteristics, and physiological and biochemical studies were carried out throughout acclimatisation. A partial overlap in metabolite composition with qualitative and relative quantitative differences between mother and in vitro-derived plants was shown by GC–MS-based profiling. Overall, the study establishes a reproducible regeneration system for M. indica, providing a basis for further optimisation and conservation-oriented applications. Full article

Grapevine downy mildew, caused by the oomycete pathogen Plasmopara viticola (P. viticola), is one of the most devastating diseases threatening the global grape industry. The pathogen invades host plants through stomata, triggering a series of highly coordinated physiological disorders and biochemical defense events. This review systematically summarizes the dynamic changes in morphological structures (stomatal characteristics), physiological functions (photosynthesis, membrane system integrity, and carbon metabolism), and multi-level biochemical defense systems (reactive oxygen species (ROS) scavenging enzyme system, phenylpropanoid metabolic pathway, pathogenesis-related proteins, and phenolic compounds) in grapevines following infection. It focuses on analyzing the differences in the timing, intensity, and metabolic reprogramming of defense responses between resistant and susceptible cultivars, pointing out that the essence of disease resistance lies in early pathogen recognition and rapid defense induction. The conflicting conclusions regarding indicators such as soluble sugars, peroxidase (POD), and superoxide dismutase (SOD) are discussed from the perspectives of experimental systems, cultivar genetic backgrounds, and pathogen physiological race differences. Furthermore, the known physiological and biochemical alterations are linked to upstream signaling pathways, including salicylic acid and jasmonic acid (SA/JA), calcium signaling, and mitogen-activated protein kinase (MAPK) cascades. Recent advances in revealing resistance mechanisms in the omics era are also introduced. Finally, future research directions are proposed, including constructing multi-indicator dynamic evaluation models, verifying key gene functions using gene editing, exploring the potential of epigenetic regulation, and developing integrated control strategies combined with microbiome research. This review aims to provide theoretical support for grapevine downy mildew resistance breeding and sustainable disease management. Full article

Soybean is an important global crop used for oil, food, and feed production. To increase yield and land-use efficiency, growers often plant soybean at a high density or use intercropping systems. Under these systems, soybeans frequently experience shade stress, which directly affects agronomic traits such as plant height. Although researchers have well documented the genetic basis of plant height under normal conditions, the loci responsible for height variation under shade stress remain largely unexplored. Therefore, we performed a restricted two-stage multi-locus multi-allele genome-wide association study (RTM-GWAS) using SNP linkage disequilibrium block (SNPLDB) markers to identify QTLs associated with soybean plant height under shade stress. We evaluated a natural population of 181 soybean accessions for plant height traits under both normal and shaded conditions across four environments for three years. Using the Soybean40K chip, we derived 11,463 SNPLDB markers and identified 42, 33, and 28 significant SNPLDBs associated with plant height, average internode length, and number of main-stem nodes, respectively. For each SNPLDB, we estimated haplotype (allele) effects and assembled QTL–allele matrices to summarize the population’s genetic composition. Four SNPLDB loci proved stable across multiple environments, exhibiting high −lg(p) values and explaining substantial phenotypic variation. Finally, we projected that 80 candidate genes resided within 180 kb of these stable loci, and we identified four strong candidate genes linked to plant height traits based on combined positional and functional evidence. These results clarify genetic factors that influence soybean height under shading and could aid development of high-yielding soybean varieties. Full article

The Asian corn borer, Ostrinia furnacalis, is a major pest in China and across East and Southeast Asia, serving as the primary target of Bt maize expressing Cry proteins. Evolution of resistance to Bt toxins represents a critical challenge in plant protection. The high-dose/refuge strategy is more effective when resistance is recessively inherited and fitness costs are present. Here, we characterize the inheritance pattern and fitness costs of Cry1Ab resistance in O. furnacalis using a resistant strain exhibiting a resistance ratio of >1400-fold. The LC₅₀ values of F₁ hybrids from reciprocal crosses between resistant and susceptible strains were 2.44 (1.90–3.12) μg/g and 2.01 (1.53–2.61) μg/g, respectively, with no significant difference, indicating autosomal inheritance. The effective dominance (h) of F₁ offspring decreased with increasing concentration, suggesting that resistance was concentration-dependent. Analysis of observed versus expected mortality in backcross progeny (F₁ × resistant strain) indicated that Cry1Ab resistance is likely governed by more than one genetic locus. Compared with the susceptible strain, resistant individuals exhibited prolonged larval development (18.6 d vs. 17.2 d, p < 0.001), reduced pupation (42.5% vs. 60.8%, p < 0.001) and adult emergence rates (60.3% vs. 87.8%, p < 0.001), while fecundity was not significantly affected. These results verify the existence of fitness costs associated with Bt resistance. Our findings provide important insights into the mechanistic basis of Cry1Ab resistance and will assist in designing proactive management strategies to delay resistance evolution in field populations of O. furnacalis. Full article

Identifying cold-resistance genes is essential for improving the ability of apples (Malus × domestica) to tolerate low temperatures, as cold stress significantly limits their growth and productivity. The MdWRKY31 gene was cloned from apple, and its sequence characteristics, expression pattern, and biological function were systematically investigated. Bioinformatic analysis indicated that MdWRKY31 belongs to the group II WRKY transcription factors and is localized in the nucleus. Expression analysis revealed that MdWRKY31 transcript levels were markedly upregulated under low-temperature stress. To further explore its function, MdWRKY31 was heterologously overexpressed in tomato (Solanum lycopersicum). Following low-temperature treatment, transgenic tomato plants exhibited significantly reduced accumulation of reactive oxygen species, markedly enhanced activities of antioxidant enzymes (SOD, POD, and CAT), increased contents of proline and soluble protein, and a notable decrease in malondialdehyde levels. Additionally, transcript levels of SlCBF1, SlCBF2, SlCBF3, SlICE1, along with the ABA signaling-related genes SlNCED1 and SlABI5, were markedly elevated. Further molecular docking showed that the MdWRKY31 protein has strong binding affinity to the W-box elements in the promoters of SlCBF1 suggesting that it may regulate the expression of these genes through direct protein–DNA interactions. These findings indicate that MdWRKY31 improves plant cold tolerance by CBF-dependent pathways to modulate antioxidant defenses and osmotic balance. These findings identify candidate genetic resources for breeding cold-resistant apple cultivation. Full article

Extreme climatic conditions often intensify abiotic stress factors (such as drought, salinity, heat stress, ultraviolet radiation, and soil degradation), and are increasingly limiting crop productivity and threatening global food security. Secondary metabolites (SMs), traditionally viewed as defense compounds, are now recognized as key regulators of plant adaptation to environmental stress. This review synthesizes recent advances in understanding the role of SMs as biochemical targets for improving crop resilience to climate extremes. By integrating evidence from multi-omics studies, artificial-intelligence-driven analyses, and functional genomics, we examine how stress-specific metabolic signatures and regulatory networks can be exploited for crop improvement. We further discuss the application of genome editing, synthetic biology, and metabolomics-assisted breeding to modulate the SM pathways to enhance stress tolerance. Selected case studies highlight the contribution of flavonoids, alkaloids, and terpenoids to stress adaptation in major and underutilized crops grown under salinity, drought, and low-temperature conditions. Despite significant progress, challenges remain, including metabolic trade-offs between stress tolerance and yield, regulatory constraints, and public acceptance of genetically engineered crops. By linking molecular mechanisms with applied strategies, this review provides a conceptual framework for leveraging secondary metabolism in climate-resilient agriculture and identifies key gaps to guide future research and innovation. Full article