Search Results (142)

The guinea fowl (Numida meleagris), a thermo-tolerant and disease-resilient poultry species, holds great potential for sustainable poultry production in climate-vulnerable regions. The genomic aspects of this species remain largely understudied. The present study aims to delineate the patterns of domestication and understand the evolutionary dynamics of guinea fowl populations (wild and domestic) across three continents, utilizing whole-genome sequencing data from 122 genomes. The population structure analyses (ADMIXTURE, PCA, phylogeny, F_ST, LD, and MAF) revealed that Indian guinea fowl (CARI) shared close ancestry with Iranian (IRAD) and Chinese (CHID) domesticated populations while remaining distinct from wild lineages. The runs of homozygosity (ROH) identified 49,088 segments, with short fragments (ROHs) preponderant in Indian and domestic populations, reflecting historical inbreeding and effects of domestication cum selection. Copy number variation (CNV) analysis revealed 105,178 CNVs concatenated into 40,067 CNV regions (CNVRs) across 11 populations, establishing the first CNV atlas for guinea fowl at the global level. Gene annotation of overlapping ROH and CNVRs revealed 1080 common candidates across Asian guinea fowl populations, i.e., the Indian guinea fowl (CARI), IRAD, and CHID, including FOS, EPAS1, CD74, and CSF1R. These genes have earlier been associated with immune regulation, stress response, and thermal adaptation. Selection signature scans, integrating intra-population (iHS) and inter-population (XP-EHH) approaches, uncovered genes under positive selection linked to immune response (like BCL11B, IL18, and GPC3), thermo-tolerance (like TRPV4 and BAG3), lipid metabolism (like AACS and ELOVL4), and pigmentation (BCO2). These signatures highlight the molecular basis of resilience in guinea fowl and their potential to withstand climate-induced stresses. This study presents the first global CNV atlas for guinea fowl and provides the first comprehensive genomic characterization of the Indian domestic population, integrating ROH, CNV, and selection signature analyses. It offers a comprehensive assessment of guinea fowl genomes (wild and domesticated) across three continents, offering insights into domestication, evolutionary dynamics, and the genetic basis of their adaptation and resilience. Full article

This study aims to investigate the restorative effects and rejuvenation mechanisms of two rejuvenators on ultraviolet (UV)-aged SBS modified asphalt binder. Two types of rejuvenators were developed. The rheological properties of aged and rejuvenated asphalt were systematically evaluated using a dynamic shear rheometer (DSR), bending beam rheometer (BBR), and multiple stress creep and recovery (MSCR) tests. Fourier transform infrared spectroscopy (FTIR) and gel permeation chromatography (GPC) were employed to analyze the rejuvenation mechanisms. The results demonstrate that UV aging significantly deteriorates both the high- and low-temperature performance of SBS modified asphalt binder. Oil-rich rejuvenator A effectively restores UV-aged asphalt’s high-temperature performance and low-temperature stiffness. Polymer-based rejuvenator B better repairs PAV-aged cross-linked networks with superior chemical dilution, but over-dilutes large molecules. Both comparably restore aged low-temperature performance, with rejuvenator A favoring stiffness recovery and rejuvenator B favoring m-value recovery. FTIR analysis reveals that aging significantly increases the carbonyl and sulfoxide indices of SBS modified asphalt binder, especially after PAV and UV aging. Rejuvenator B exhibits superior chemical dilution, reducing these indices nearly to their original levels. GPC analysis demonstrates an aging-induced molecular weight increase and large molecular size (LMS) formation. The recovery effect of rejuvenator A is quite limited (reducing LMS by 2%). Conversely, rejuvenator B aggressively reduces LMS but causes over-dilution. Overall, rejuvenator B is recommended to be used for aged SBS modified asphalt binder, especially after UV aging. Full article

Improving wheat processing quality is a crucial objective in modern wheat breeding. Among various quality parameters, grain protein content (GPC) and wet gluten content (WGC) significantly influence the end-use quality of flour. These traits are controlled by multiple minor effect genes and highly influenced by environmental factors. Identifying stable and major-effect genetic loci and developing breeder-friendly molecular markers are of great significance for breeding high-quality wheat varieties. In this study, we evaluated the GPC and WGC of 310 diverse wheat varieties, mainly from China and Europe, across four environments. Genotyping was performed using the wheat 100K SNP chip, and genome-wide association analysis (GWAS) was employed to identify stable loci with substantial effects. In total, four loci for GPC were identified on chromosomes 1A, 3A, 3B, and 4B, with explained phenotypic variation (PVE) ranging from 6.0 to 8.4%. In addition, three loci for WGC were identified on chromosomes 4B, 5A, and 5D, which explained 7.0–10.0% of the PVE. Among these, three loci coincided with known genes or quantitative trait loci (QTL), whereas QGPC.zaas-3AL, QGPC.zaas-4BL, QWGC.zaas-4BL, and QWGC.zaas-5A were potentially novel. Seven candidate genes were involved in various biological pathways, including growth, development, and signal transduction. Furthermore, five kompetitive allele specific PCR (KASP) markers were developed and validated in a natural population. The newly identified loci and validated KASP markers can be utilized for quality improvement. This research provides valuable germplasm, novel loci, and validated markers for high-quality wheat breeding. Full article

Background/Objectives: Chimeric antigen receptor (CAR) T cells are a powerful cancer therapy, but their function depends heavily on internal signaling domains and metabolic adaptability. Most studies evaluate CAR behavior upon antigen exposure, yet intrinsic signaling properties may pre-program CAR T cell states even in the absence of stimulation. This study investigates how CAR design and metabolic support shape baseline transcriptional programs, focusing on tonic signaling and NF-κB-related pathways. Methods: We engineered CAR T cells targeting HER2 or GPC3 antigens, incorporating either 4-1BB or CD28 co-stimulatory domains, respectively. A subset of cells was further modified with adenosine deaminase 1 (ADA1) and CD26 to degrade extracellular adenosine and supply inosine, a metabolic strategy termed metabolic refueling (MR). Bulk RNA-seq was performed on resting T cells without antigen stimulation. We analyzed differential gene expression, gene set enrichment (GO, KEGG, Hallmarks), and transcription factor activity (DoRothEA) to assess the impact of CAR design and MR on T cell programming. Results: All CAR T cells exhibited activation of NF-κB–centered inflammatory programs at baseline, indicating tonic signaling. GPC3 CAR T cells showed stronger baseline activation than HER2 CAR T cells. Metabolic refueling amplified these programs without altering their directionality, enhancing inflammatory, survival, and effector modules. Transcription factor activity scores mirrored these trends, highlighting RELA, FOS, and STATs as key regulatory nodes. Conclusions: CAR-intrinsic features, notably co-stimulatory domain choice, define the tonic NF-κB activation tone in resting CAR T cells. Metabolic refueling boosts these baseline states without overstimulation, suggesting it may be especially valuable for weaker CAR constructs. These findings provide a framework for tuning CAR T cell function through combinatorial design strategies targeting signaling and metabolism. Full article

Herein, we report the synthesis via controlled reversible addition-fragmentation chain transfer (RAFT) polymerization of amphiphilic 2-vinylpyridine-b-styrene (2VPy-b-Sty) diblock copolymers of high molar masses (range: 52,100–304,000 g mol⁻¹) and various compositions (range: 2VP content 11.6–59.2 mol%) and their use for the fabrication of nanoporous membranes. The successful synthesis of the amphiphilic diblock copolymers was confirmed through the characterization of their molar masses, molar mass distribution, and composition using GPC and ¹H-NMR spectroscopy, respectively. Subsequently, membranes of the diblock copolymers were fabricated following the “phase inversion” technique. The resulting membranes were characterized via scanning electron microscopy which revealed the presence of sphere percolation networks morphology for all diblock copolymers with M_n ranging from 120 to 300 kDa and 2VPy content between 10 and 15 mol% at the optimal conditions. Afterward, the developed membranes were evaluated in terms of their permeability towards water and in terms of their ability to retain two different microorganisms, namely, Enterococcus faecalis and Escherichia coli, that are known to be harmful to human health. The experimental water flux for a membrane with pore size around 60 nm was equal to 31,400 L h⁻¹ m² and expectedly decreased with the decrease in membrane pore diameter. The retention ability of membranes for Enterococcus faecalis and Escherichia coli was higher than 90%. In particular, the retention ability for Enterococcus faecalis was equal to 98.9% and for Escherichia coli was 91.4%. The toxicity of the produced membrane was also determined, and the measured value was relatively low, at 17%. Full article

Background: Glypican-3 (GPC3) is overexpressed in most hepatocellular carcinoma (HCC) tissues but is absent in normal adult liver. We evaluated whether tumor GPC3 expression is associated with clinical outcomes in patients with advanced HCC treated with atezolizumab–bevacizumab (AB). Methods: We conducted a single-center retrospective cohort study of 139 patients with Barcelona Clinic Liver Cancer (BCLC) stage C HCC who received AB between January 2022 and August 2025. Tumor GPC3 expression was assessed by immunohistochemistry. The primary endpoints were overall survival (OS) and progression-free survival (PFS), and the secondary endpoint was objective response rate (ORR) according to modified Response Evaluation Criteria in Solid Tumors (mRECIST). Results: Baseline characteristics were largely balanced between GPC3-positive (n = 87) and GPC3-negative (n = 52) groups. Median OS was significantly shorter in patients with GPC3-positive tumors than in those with GPC3-negative tumors (p = 0.006). In multivariable analysis, GPC3 positivity remained independently associated with higher mortality (hazard ratio [HR] 1.77, 95% confidence interval [CI] 1.05–3.00; p = 0.033), along with Child–Pugh class B. PFS did not differ significantly between the groups (p = 0.712). ORR was lower in GPC3-positive tumors than in GPC3-negative tumors (approximately 17–18% vs. ~32%; p = 0.023). Membranous GPC3 localization was associated with inferior OS compared with cytoplasmic or absent expression (p = 0.025). Conclusions: Tumor GPC3 expression was associated with decreased OS and lower ORR among AB-treated patients with advanced HCC, suggesting potential clinical relevance and may help in risk stratification. Full article

Grain protein content (GPC) is a key quality trait in wheat, determining both nutritional value and end-use functionality, yet its genetic architecture is complex and highly influenced by the environment. In this study, a diverse panel of 327 wheat accessions was evaluated for GPC across multiple environments. Significant phenotypic variation was observed, with best linear unbiased estimates (BLUEs) ranging from 12.80% to 18.79%, and a moderate broad-sense heritability (h² = 0.52) was estimated. Genotype-by-environment interactions were highly significant. Genome-wide association analysis using the FarmCPU model identified seven stable quantitative trait nucleotides (QTNs) associated with GPC on chromosomes 1A, 1B, 2A, 2D, 3B, 5A, and 6A. Among these, QGpc.yzu-2A was consistently detected in three environments. Further analysis of the QGpc.yzu-2A region identified 26 annotated genes, 8 of which were expressed in grains. One gene, TraesCS2A02G473000 (RNA-binding protein), exhibited high nucleotide diversity and is a strong candidate for functional validation. Additionally, QGpc.yzu-6A co-localized with the known TaNAM-6A gene, reinforcing the role of this region in GPC regulation. This study provides valuable insights into the genetic basis of GPC in wheat and offers molecular markers and candidate genes for marker-assisted selection to improve grain protein content in breeding programs. Full article

Serum Glypican-3 (GPC3) levels in HCC patients are significantly higher than those in healthy individuals or patients with non-malignant liver diseases, making it a diagnostic marker for HCC. However, its diagnostic capability remains controversial due to its low sensitivity. The common marker AFP has limitations in terms of sensitivity and specificity, particularly in early-stage HCC. We sought to combine GPC3 detection with multi-biomarker panels to enhance sensitivity and specificity in early-stage HBV-, HCV-, and ALD-related liver cancer diagnosis. We applied receiver operating characteristic (ROC) analysis, which is used to evaluate the diagnostic performance of different biomarker tests, to develop comprehensive multi-biomarker panels that include GPC3, along with other biomarkers such as gender, age, AFP, AFP-L3%, and DCP, for assessment in the selected patients. We also applied univariate and multivariate logistic regression analysis to generate a specific diagnostic model for early HBV-induced HCC detection. We found that GPC3 levels in serum were significantly higher in HCC patients compared to CLD patients. We performed univariate and multivariate logistic regression analysis on the relevant indicators of early HCC to establish a new GDATA model for diagnosing early HCC. The new model included five indicators of early HCC: GPC3, DCP, AFP-L3%, TBIL and age. The diagnostic efficacy was better than that of GPC3, AFP, DCP and AFP-L3 alone. The diagnostic accuracy of the GDATA model for early HCC was significantly higher than that of the GALAD model or single indicators alone. The GDATA model thus provides a new promising diagnostic strategy for early HCC detection. Full article

Continuous flow synthesis and microwave-assisted synthesis represent two sustainable and efficient methods for polymer production aligned with green chemistry principles, compared to conventional polymer synthesis. Here we present a case study of poly(4,4-dioctyldithieno(3,2-b:2′,3′-d)silole)-2,6-diyl-alt-(2,1,3-benzothiadiazole)-4,7-diyl (PSBTBT), a low band-gap electron-donating polymer for organic photovoltaics (OPVs). The PSBTBT Stille cross-coupling polymerization conditions were optimized by comparing different synthetic methods: conventional, flow, and microwave. To assess the impact of the different synthetic methods, detailed molecular and spectroscopic characterization, highlighting both the differences and similarities within the methodologies, was performed with several techniques, such as GPC, UV-Vis, PL, and NMR. Full article

To address the limitations of traditional wheat quality breeding, this study developed a Wheat Quality Molecular Marker Selection System (QMMS) by integrating key genetic loci controlling core quality traits: grain protein content (GPC), grain hardness (GH), and high-molecular-weight glutenin subunits (HMW-GS). The QMMS comprises three KASP markers (Kgpc-2B, Kgpc-2D, Kgpc-4A) and two duplex KASP (dKASP) markers (Pin-ab, Glu-AD), enabling cost-effective (≈5 CNY per sample) and high-throughput genotyping. Systematic validation was conducted using four panels of materials: representative varieties, breeding nursery materials, regional trial materials from the Middle and Lower Reaches of the Yangtze River, and advanced lines from four cooperative institutions. Results showed that (1) the QMMS accurately distinguished quality types of representative varieties: strong-gluten varieties carried five or more strong-gluten–favorable alleles, while weak-gluten varieties harbored five or more weak-gluten favorable alleles; (2) in breeding nursery materials, quality traits increased significantly with the number of aggregated strong-gluten favorable alleles, and 48.15% of strong-gluten candidates met strong- and medium-strong-gluten standards; (3) in regional trial materials, 15.25% (36/236) and 1.69% (4/236) of lines carried ≥5 strong-gluten and weak-gluten favorable alleles, with low utilization of Kgpc-2D and Pina/Pinb favorable alleles (<30%); and (4) the QMMS screened 273 strong-gluten and 27 weak-gluten candidates for cooperative institutions, matching their breeding focuses. In conclusion, the QMMS provides reliable technical support for precise and efficient wheat quality breeding. Full article

Barley (Hordeum vulgare L.) is a key cereal crop for malting and brewing, where grain plumpness and optimal grain protein concentration (GPC) are essential quality traits. This study investigated the combined effects of nitrogen fertilization strategies and a seaweed-based biostimulant (Ascophyllum nodosum extract) on malting barley production across four environments in Thessaly, Greece, over two growing seasons. Treatments included urea (U), urea with biostimulant (U + B), urea with urease inhibitor (UI), urea with urease inhibitor and biostimulant (UI + B), and a control (no fertilization). Applications were tested on genotype G20 at mid-development (Z30–33) and genotype G45 at an earlier stage (Z24–30). UI + B treatment consistently enhanced yield by up to 71%, thousand-grain weight by 27%, and spikelets per square meter by 75% relative to the control, with responses influenced by genotype and environment. Grain fractions > 2.8 mm increased by up to 22% under UI + B, while GPC remained within the optimal malting range (9.5–11.5%). Early-stage applications produced strong benefits overall. Principal component analysis distinguished treatment effects, with UI + B samples clustering consistently apart from controls. These results demonstrate that combining biostimulants with urease inhibitors can simultaneously improve yield, quality, and sustainability in malting barley, supporting reduced nitrogen input in Mediterranean systems. Full article

A series of PTT-b-PTMG copolyesters was synthesized via direct esterification followed by melt polycondensation using purified terephthalic acid (PTA), bio-based 1,3-propanediol (PDO), and poly(tetramethylene glycol) (PTMG) of varying molecular weights (650–3000 g/mol). The resulting materials were comprehensively characterized in terms of chemical structure, molecular weight, thermal behavior, phase morphology, crystalline architecture, and mechanical performance using a range of analytical techniques: Fourier-transform infrared spectroscopy (FTIR), ¹H-NMR, gel permeation chromatography (GPC), differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), wide-angle X-ray scattering (WAXS), small-angle X-ray scattering (SAXS), dynamic mechanical thermal analysis (DMA), tensile testing, and other standard physical methods. FTIR, ¹H-NMR, and GPC data confirmed the successful incorporation of both PTT-hard and PTMG-soft segments into the copolymer backbone. As the PTMG molecular weight increased, the average sequence length of the PTT-hard segments (L_n,T) also increased, leading to higher melting (T_m) and crystallization (T_c) temperatures, albeit with a slight reduction in overall crystallinity. DMA results indicated enhanced microphase separation between hard and soft domains with increasing PTMG molecular weight. WAXS and SAXS analyses further revealed that the crystalline structure and long-range ordering were strongly dependent on the copolymer composition and block architecture. Mechanical testing showed that tensile strength at break remained relatively constant across the series, while Young’s modulus increased significantly with higher PTMG molecular weight—concurrently accompanied by a decrease in elongation at break. Furthermore, the elastic deformability and recovery behavior of PTT-b-PTMG block copolymers were evaluated through cyclic tensile testing. TGA confirmed that all copolyesters exhibited excellent thermal stability. This study demonstrates that the physical and mechanical properties of bio-based PTT-b-PTMG elastomers can be effectively tailored by adjusting the molecular weight of the PTMG-soft segment, offering valuable insights for the rational design of sustainable thermoplastic elastomers with tunable performance. Full article

The global construction industry faces growing pressure to minimize environmental impact while maintaining durable, high-performance building materials. Fly ash-based geopolymer concrete (GPC) provides a sustainable, low-carbon, durable, and high-performance alternative to ordinary Portland cement (OPC). However, challenges remain in accurately predicting its structural behavior, particularly flexural strength, under varying compositional and curing conditions. This study integrates a Blockchain-assisted Gene Expression Programming Framework (B-GEPF) to enhance reliability and traceability in durability assessments of fly ash-based GPC. Focusing on the silica modulus of alkaline activators, the framework aims to improve predictive accuracy for flexural strength and optimize durability performance. Flexural strength was evaluated under controlled alkaline activator conditions (8M sodium hydroxide with sodium silicate) and varying fine aggregate ratios (1:1.5, 1:2, 1:3). The predictive model captures complex nonlinear relationships among silica modulus, fly ash content, and flexural behavior. Results indicate that higher activator concentrations increase flexural strength, while fly ash improves workability, reduces heat of hydration, and sustains long-term strength through secondary reactions. The B-GEPF framework demonstrates potential to accelerate GPC formulation optimization, ensuring reproducibility, reliability, and industrial scalability. By combining AI-driven predictions with blockchain-based validation, this approach supports sustainable construction, quality assurance, regulatory compliance, and transparent stakeholder collaboration. The study highlights dual benefits of environmental sustainability and digital trust, positioning fly ash-based GPC as a durable, low-carbon, and verifiable solution for resilient infrastructure. This convergence of AI predictive modeling and blockchain-secured data governance offers a robust, scalable tool for designing, validating, and deploying eco-friendly construction materials. Full article

End-use quality is a crucial aspect of wheat quality, influencing the type and quality of the produced food products. It is mostly determined by the content and characteristics of the protein as well as the starch in the grain. Being a staple food, wheat provides more than 30% of the total calories and proteins in human diets globally. Wheat grain consists of a protein network, called gluten, which provides wheat doughs with their unique viscoelastic properties. The genetic improvement of end-use quality traits is indispensable to meet the requirements of grain markets, millers, and bakers. Thus, modern approaches such as proteomics and genomics are important to precisely identify alleles, genes, as well as their functions in improving end-use quality. End-use quality is mainly regulated by grain protein content, grain hardness and starch synthase genes, as well as gluten proteins, which can be exploited to improve the quality of wheat for the production of desired wheat cultivars. The aim of this review is to highlight the progress, challenges, and opportunities in breeding for end-use quality in wheat. The paper outlines the following key aspects: (1) challenges associated with breeding for end-use quality and (2) opportunities such as genomic selection, marker-assisted selection (MAS), and genetic variation in landraces and wild relatives for end-use quality improvement and the genes regulating end-use quality. Lastly, the paper discusses the prospects for future quality improvement in wheat. The review provides a comprehensive insight into the effects of genes on regulating end-use quality and serves as baseline information for wheat breeders to guide the development and deployment of wheat cultivars for future quality improvement. Full article

Specialized herbivores like giant pandas (Ailuropoda melanoleuca), red pandas (Ailurus fulgens), and bamboo rats, which primarily consume bamboo, are at risk of nutrient deficiencies, particularly vitamin B12 (VB12), potentially leading to cardiovascular diseases. This study explored the effects of VB12 supplementation on cardiovascular health in silver star bamboo rats (Rhizomys pruinosus). We first conducted a comprehensive genome annotation of R. pruinosus, laying the foundation for in-depth evolutionary studies. Comparative transcriptomic analysis revealed that genes related to cardiovascular disease (e.g., Sgcb, Adcy2, Itga1, Itgb8, Ifng, and Gpc1) were upregulated in the livers of R. pruinosus compared to carnivorous and omnivorous rodents, indicating a higher cardiovascular disease risk. After 60 days of VB12 supplementation, liver transcriptome analysis revealed significant improvements in cardiovascular health markers, including reduced cholesterol synthesis and enhanced fatty acid metabolism. Serum biochemical assays indicated that VB12 supplementation led to reduced homocysteine levels, decreased low-density lipoprotein (LDL)-to-high-density lipoprotein (HDL) ratios, and increased the apolipoprotein A-to-apolipoprotein B ratio. These findings suggest that VB12 may mitigate cardiovascular disease risk and could be considered in the dietary management of specialized bamboo-eating species. Our study provides valuable insights into disease prevention strategies for these species with similar dietary habits. Full article