Search Results (517)

Enormous genetic diversity exists in rice germplasm, including wild and weedy relatives, though they remain unexplored within in situ or ex situ collections. Characterisation and utilisation of the available biodiversity in plant breeding is essential for the detection of novel traits or genes for climate resilience. In this study, 97 rice genotypes, including 90 rice accessions belonging to various Oryza species and 7 check cultivars with an O. sativa background, were characterised for quantitative morphological characters following the guidelines based on distinctiveness, uniformity and stability (DUS) test by the Protection of Plant Varieties and Farmers’ Rights Authority (PPVFRA), India. Characterisation of the genotypes based on 39 important DUS morphological descriptors revealed polymorphism in 35 traits, confirming high morphological diversity among wild rice accessions and distinguishing and unique traits from other wild accessions for the utilisation in pre-breeding programmes. Genotypes such as WD5_6, WD10_4, and WD3_3 consistently expressed a favourable combination of broad and long leaves, extended panicle length, and well-branched panicles with higher panicle number. In addition, these genotypes showed purple pigmentation across multiple vegetative and reproductive organs, indicating stable and enhanced anthocyanin accumulation. Accessions WD10_4 and WD3_3 also represent valuable donors for panicle architecture and yield component enhancement, while genotypes such as WD17_15 and WD12_8 may serve as specific donors for panicle length and branching traits. Characterisation studies and detection of unique traits provide the empirical foundation for conservation decisions, taxonomic clarity, and pre-breeding applications. Interspecific crosses in the genetic background of elite cultivars with donor species viz., O. barthii, O. glaberrima and O. rufipogon were developed as pre-breeding materials for further crop improvement as well as for the identification of novel genes of agronomic importance. Full article

Fecal microbiota transplantation (FMT) has emerged as a microbiota-directed therapeutic strategy with established efficacy in recurrent Clostridioides difficile infection (rCDI) and expanding investigational applications in pediatric medicine. Given the central role of the gut microbiota in immune maturation, metabolic homeostasis, and colonization resistance—particularly during early life—restoring microbial diversity represents a biologically plausible intervention for disorders characterized by dysbiosis. This narrative review critically examines current evidence regarding the indications, efficacy, safety, and practical considerations of FMT in pediatric populations. A structured literature search was conducted across PubMed/MEDLINE, Scopus, Web of Science, and the Cochrane Library from inception through December 2025. Eligible studies included randomized controlled trials, observational studies, systematic reviews, meta-analyses, and guideline statements addressing pediatric FMT. RCDI remains the primary and best-supported indication, with reported success rates exceeding 80% after a single FMT and approaching 90% with repeat procedures. Evidence for other indications—including inflammatory bowel disease (IBD), malignancy-associated CDI, transplant recipients, multidrug-resistant organism (MDRO) decolonization, neurodevelopmental disorders, allergic colitis, and functional gastrointestinal disorders—remains limited and heterogeneous. While short-term remission rates in pediatric ulcerative colitis appear promising, data derive largely from small, non-standardized studies, and long-term efficacy and safety remain insufficiently defined. FMT usage in immunocompromised children, particularly oncology and transplant populations, is controversial due to limited pediatric-specific evidence and theoretical risks. Substantial variability in donor screening, preparation methods, dosing, and administration routes further limits standardization. Currently, FMT should be considered established therapy for pediatric rCDI, whereas other applications require well-designed, multicenter trials with long-term follow-up to clarify safety and clinical benefit. Full article

Greenhouse gas generated from wastewater treatment plants has attracted much attention as it has the potential to be recovered and used as an energy source. In this study, a membrane biofilm reactor was designed to simultaneously enhance nitrate removal and reduce methane (CH₄) emissions during methane oxidation coupled with the denitrification process. The enrichment of CH₄-driven denitrification microbes with a relatively short hydraulic retention time (HRT) and its effects on the stable operation of the reactor were studied within 250 d. With an increasing HRT from 8 to 20 h, a removal rate of up to approximately 0.51 mg/L·h⁻¹ was achieved, which also kept the effluent NO₂⁻-N below 0.5 mg/L. Microbial community analysis showed that the diversity and uniformity of microorganism communities decreased with the addition of CH₄ as a carbon source, and the microbial structure changed significantly. Compared with that of seed sludge at the phylum level, the relative abundance of Proteobacteria increased significantly, Alphaproteobacteria and Sphingobacteriia continued to become enriched, and the abundance of Methylocystis increased significantly. Neither denitrifying anaerobic methane oxidation (DAMO) archaea nor bacteria were found in the sequencing analysis. Methylocystis was the dominant CH₄ oxidizing bacteria, in synergy with the co-occurrence of autotrophic and heterotrophic denitrifying bacteria, which likely join up in nitrogen removal. Unlike the systems described in most methane-driven denitrification studies, our system achieved nitrate removal without detectable DAMO microbes. Full article

Background/Objectives: Building a donor base that reflects the diversity of Canada is essential to ensuring everyone has timely and reliable access to high-quality blood products. This qualitative research project aimed to both determine barriers to donation for diverse South Asian communities and seek feedback and guidance on proposed interventions to address those barriers. Methods: This study was guided by the principles of community-based participatory research and data was gathered and analyzed using constructivist grounded theory. We conducted eight in-person focus groups and four interviews. Results: Our findings indicate that barriers to donation are systemic. Barriers include inaccessibility, deferrals and negative donation experiences, lack of awareness and newcomer settlement challenges, social exclusion, navigating an unfamiliar donation system, and issues with access to appropriate care in health systems more generally. Participants proposed addressing these barriers through changes in the blood service, such as more convenient access to donation and improved cultural sensitivity and cultural comfort in donation centres, and also through changes in health systems more generally. Recommendations included sustained collaboration with communities to inform policies and practices based on cultural and social contexts. Conclusions: Our study of systemic barriers to blood donation for South Asian communities in Ontario indicates that barriers to donation are systemic. Participants proposed changes to blood services that would address some of these barriers. Where systemic barriers are attached to broader social structures, the strategies to address barriers will require longer-term considerations and resources. Full article

Amaranth (Amaranthus spp.) is a multifaceted genus of C4 plants with significant nutritional and agronomic potential, yet it remains underutilized in mainstream agriculture. Despite growing interest in Amaranth, most germplasm studies have used either phenotypic or molecular approaches alone, lacking integration. Multivariate methods have not been systematically applied to identify promising genotypes, and species-specific selection indices for grain Amaranth remain unexplored. To address these gaps, this study comprehensively characterized 84 Amaranth genotypes representing multiple species (A. caudatus, A. cruentus, A. hypochondriacus, A. hybridus, A. spinosus, A. powellii, A. tricolor, and 38 accessions of unknown taxonomic status) using field experiments in a randomized complete block design with three replications and DNA barcoding with chloroplast (psbA-trnH) and nuclear (ITS) markers. Analysis of variance revealed highly significant differences (p < 0.01) among genotypes for all six agronomic traits evaluated, confirming substantial genetic variability with grain yield exhibiting the widest variation (CV = 28.55%), ranging from 0.25 to 125.56 g/plant. High broad-sense heritability estimates (0.79–0.99) coupled with high genetic advance, particularly for grain yield (117.54%), indicated that these traits would respond favorably to selection. Path analysis and stepwise regression identified early flowering, long inflorescences, and heavy seeds as the primary determinants of grain yield, collectively explaining 27% of yield variation. Mahalanobis D² analysis identified nine multivariate outliers with distinct phenotypic profiles, among which G39 emerged as the most promising breeding candidate, combining exceptional yield (90.50 g/plant) with desirable architecture, long inflorescence, and large seeds. Principal component analysis further resolved trait complexes, identifying 11 PC1-selected promising genotypes as donors for plant architecture and three PC2-selected promising genotypes as donors for seed size characteristics. Molecular analysis revealed distinct genetic relationships. A. caudatus (kiwicha) exhibited limited haplotype diversity indicating a narrow genetic base, while A. cruentus and A. hypochondriacus showed broader diversity, with the nuclear ITS network providing clearer resolution than chloroplast markers due to biparental inheritance. Outlier genotypes, including G82, G83, G13, G10, and G39, occupied unique haplotype positions, confirming that their phenotypic distinctiveness corresponds to genuine genetic differentiation. The novelty of this study lies in integrating multivariate biostatistical techniques (heritability, path analysis, Mahalanobis D², PCA, and stepwise regression) with two complementary DNA barcode systems (chloroplast and nuclear) within a single germplasm collection. This integrated approach provides breeders with well-characterized germplasm, validated selection criteria, and prioritized parental materials for Amaranth improvement. Further multi-location and multi-season evaluations are recommended to ensure the stability and adaptability of these promising germplasm accessions. Full article

Background: Although antibiotics have a wide range of applications in medical clinical practice and possess significant clinical value, their inevitable contribution to gut microbiome dysbiosis warrants attention. Our previous research has confirmed that the combined intervention of exercise and konjac glucomannan (KGM) has a better regulatory effect on gut dysbiosis in mice compared with individual interventions. Methods: This study aims to further investigate whether this effect can be transmitted through fecal microbiota transplantation (FMT), and to compare the recovery effects of autologous FMT (a-FMT), fecal microbiota transplantation after exercise combined with KGM intervention (EK-FMT), and combinative intervention with exercise and KGM (EXE-KGM) on gut microbiome dysbiosis. Sample sizes ranged from five to six animals. Results: The results showed that the a-FMT group recovered α diversity the fastest, including Chao, Shannon, and Simpson indices(p < 0.05), within 2 weeks after transplantation when compared with the CTL group. At the end of the experiment, the Bray–Curtis distance of the a-FMT group was closest to the CTL group, while the EXE-KGM group had delayed recovery, there was no significant difference between the EK-FMT group and the EXE-KGM group. Metagenomic analysis and metabolomics analysis indicated that the arginine synthesis and metabolism pathways (KEGG: map00471, map00473, arginine biosynthesis) played a core role in the restoration of the microbiota. Conclusions: The results of this experiment indicate that EK-FMT group can partially transfer the regulatory effects of combined exercise and KGM intervention, a-FMT accelerates the recovery speed of the gut microbiome and arginine metabolism may play an important role in it. This finding provides a theoretical basis and practical direction for special populations to receive special donor fecal treatment. Full article

Obesity is increasingly recognized in domestic cats and is associated with metabolic disturbances such as insulin resistance and dyslipidemia. The gut microbiota is considered an important regulator of host metabolism, yet its role in feline obesity remains unclear. In this study, a multi-omics approach was used to investigate gut microbiota composition and metabolic profiles in cats with different body conditions and to evaluate the effects of fecal microbiota transplantation (FMT) on the feline gut microbiota and overall metabolism. In Experiment 1, twenty-four cats were classified as obese, normal, or lean, and their gut microbiota and serum metabolites were analyzed. In Experiment 2, fecal microbiota from obese or lean donors were transplanted into recipient cats. Although overall microbial diversity and community structure did not differ significantly among groups, Coriobacteriaceae and Collinsella were enriched in obese cats, whereas Enterobacteriaceae-related taxa were more abundant in normal-weight cats. Serum metabolomics revealed alterations mainly related to amino acid and antioxidant metabolism, including O-acetylcarnitine, glutathione, and tryptophan metabolism. FMT shifted the recipient gut microbial communities toward their respective donor profiles (obese or lean) but did not significantly affect body weight or routine serum biochemical parameters during the experimental period. These findings suggest that gut microbiota remodeling may influence metabolic processes prior to detectable phenotypic changes in cats. Full article

In situ coagulation is regarded as the most effective measure in response to the frequent metal spills in China. Excessive coagulant is often used in pursuit of extremely high removal rates of contaminants. Yet the secondary ecological impact of the iron-containing coagulation flocs left on the river sediments after emergency response is still unclear. In the current study, we investigated the impact of flocs derived from three different iron-based coagulants, polymeric ferric sulfate (PFS), polymeric ferric chloride (PFC), and ferric chloride (FeCl₃), on microbial communities in sediment based on microcosm experiments. Metagenomics, quantitative PCR, and determination of ammonia oxidation potential were adopted to elucidate community shifts. The results indicate that the community structure and function of microorganisms in sediments have been affected, especially processes and species related to nitrogen cycling, and the effect was coagulant-specific. Flocs retrieved from FeCl₃ caused a more pronounced decline in diversity, shifts in community composition, and decreased potential ammonia oxidation. Ammonia-oxidizing archaea (AOA) was more sensitive to iron-containing flocs than ammonia-oxidizing bacteria (AOB), while PFS-flocs tended to reduce multiple genes involved in nitrate reduction. This indicates that the pre-polymerization of inorganic coagulants may be the primary factor leading to different microbial ecological effects. Sulfate, on the other hand, may affect specific biogeochemical processes due to its competition for electron donors. Our results confirmed that even without heavy metals as contaminants, coagulant flocs alone could present an effect on nitrogen cycling in sediments. The results will provide a scientific basis for environmental emergency decision-making: in emergency response to metal pollution incidents, the use of coagulants should be limited to only the necessary level. Full article

Tuberculosis (TB) is the leading cause of infectious disease-related death globally. Most TB vaccine strategies have focused on conventional CD4 T cell responses, but to date, these have failed to deliver durable sterilizing protection. Donor unrestricted T cells (DURTs), including CD1-restricted T cells, HLA-E-restricted T cells, MR1-restricted T cells and γδ T cells represent an attractive complementary target for future TB vaccine development. They recognize antigens through conserved, non-polymorphic restricting elements and are therefore broadly targetable across genetically diverse populations. They are also enriched at mucosal sites, have rapid effector and cytotoxic capacities and recognize conserved mycobacterial ligands. Emerging human and animal data support their participation in antimycobacterial immunity and suggest they can be shaped by BCG vaccination and other immunization strategies. Here, we review the evidence for DURT involvement in TB host defense, assess their strengths and current limitations as vaccine targets, and discuss how DURT-directed approaches may help to enable faster, broader, and more durable protection against Mycobacterium tuberculosis. Full article

A series of Group 10 metal dithiocarbonate complexes [M(S₂COⁱPr)₂] (M = Ni 1, Pd 2, Pt 3) was prepared following procedures from the literature and cocrystallized with the ditopic σ/π-hole donor 1,4-diiodotetrafluorobenzene. Single-crystal X-ray diffraction revealed a consistent I···S halogen bonding motif alongside a remarkable diversity in metal-involving interactions across the Ni–Pd–Pt triad. While nickel(II) exhibits strong electrophilic M···S semicoordination, the palladium(II) center displays ambiphilic behavior, and platinum(II) acts exclusively as a nucleophile via π-hole···M bonding. Comprehensive density functional theory studies, including molecular electrostatic potential (MEP) mapping, quantum theory of atoms in molecules/noncovalent interaction plot analyses, and energy decomposition analysis, were used to quantify this competitive balance. The results demonstrate that the increasing nucleophilicity from Ni to Pt, supported by shifting MEP minima and stronger π-hole stabilization energies, dictates the preference for nucleophilic over electrophilic metal-centered contact. Full article

Soil salinity remains a major constraint to rice productivity, particularly during early developmental stages when plants are highly sensitive to osmotic and ionic stress. In this study, we evaluated 201 genetically diverse rice genotypes from the 3K Rice Diversity Panel to investigate stage-specific mechanisms of salinity tolerance and develop machine learning-based predictive models for rapid phenotypic screening. Morphological and physiological traits were measured under control and saline conditions at germination and early seedling stages to derive Stress Tolerance Indices (STIs). The average membership function value (AMFV), calculated from multi-trait STI profiles, effectively captured variation in salinity responses and enabled classification of genotypes into five tolerance categories. Genome-wide association analysis using high-density SNP markers identified 36 significant marker–trait associations, including potentially novel SNPs on chromosomes 1 and 12. Several loci co-localized with candidate genes (LTR1, LGF1, OsCPS4, OsNCX7, and OsNHX4), while functional SNPs within genes (OsDRP2C, RLCK168, and OsMed37_2) and non-synonymous variants (qSVII11.1 and qSNaK3.1) further supported their candidacy in salinity tolerance. Mining favourable SNPs of causal genes identified superior multilocus combinations consistent with STI-based phenotypic patterns, with genotype 91-382 emerging as the strongest performer, exhibiting enhanced Na⁺ exclusion, K⁺ retention, and biomass resilience across developmental stages. To address multicollinearity among STI traits, we applied cross-validated LASSO (germination) and Elastic Net (early seedling) models, achieving high predictive accuracy and revealing a developmental shift from biomass-driven tolerance at germination to ion-regulatory processes at the seedling stage. Independent validation showed strong agreement between predicted and observed AMFVs. By integrating physiological indices, GWAS-derived SNP signals, and regularized machine learning approaches, this study provides a robust framework for identifying elite donors and accelerating breeding for salt-tolerant rice. Full article

Background: Extracellular vesicles (EVs) are increasingly explored as nanocarriers in drug delivery; however, selecting an appropriate loading strategy for a given small-molecule cargo still relies largely on empirical, resource-intensive parallel screening within EV formulation workflows. Despite the widespread application of passive incubation, electroporation, saponin-mediated permeabilization, freeze–thaw cycling, and sonication, there is currently no mechanistically grounded, descriptor-informed framework that enables rational prioritization of loading methods during the early design stage of EV-based dosage forms, leading to inefficient trial-and-error experimentation. Methods: We assembled a chemically diverse dataset of 21 compounds with experimentally determined loading efficiencies across five EV loading methods and calculated seven mechanistically motivated physicochemical descriptors (LogP, molecular weight, aqueous solubility, hydrogen bond donors/acceptors, polar surface area, and formal charge) for each drug. Separate Elastic Net regression models were trained for each loading strategy. Model performance was evaluated using leave-one-out cross-validation, a predefined external validation set (n = 4), and 50 repeated random train–test splits. The analysis emphasized decision-level ranking of loading methods rather than the precise prediction of absolute efficiencies. The applicability domain was assessed via leverage analysis to define the supported chemical space for prospective implementation in EV-based formulation development. Results: As anticipated for biologically heterogeneous EV systems, continuous regression performance remained modest (LOOCV R² = 0.06–0.41). In contrast, decision-level accuracy for identifying the experimentally optimal loading method was consistently high across validation schemes (internal: 76.5%; predefined external: 75%; repeated random validation: 80.5 ± 16.8%). Mechanical disruption methods (freeze–thaw and sonication) demonstrated comparatively greater predictive stability, while misclassification patterns suggested potential nonlinear behavior for highly polar, ionizable cargos. All compounds resided within the leverage-defined applicability domain, confirming adequate descriptor-space representation. Conclusions: This study establishes a mechanistically interpretable, descriptor-based decision-support framework capable of reliably prioritizing EV loading strategies for small-molecule cargos beyond empirical chance without altering standard protocols. By reframing the modeling objective from high-precision efficiency prediction to robust ranking of candidate methods, the approach offers a practical tool to triage between commonly used techniques, thereby reducing experimental burden in early-stage EV formulation development. The framework provides a quantitative basis for integrating molecular-descriptor-guided method selection into rational EV-based drug delivery design and can be expanded with membrane-specific descriptors and larger datasets. Full article

Siderophores are classically understood as microbial iron-acquisition metabolites: low-molecular-weight ligands secreted by bacteria to solubilize and transport Fe(III) under iron-limited conditions. In this review, we expand that paradigm by highlighting an emerging and underappreciated chemical axis—boron coordination by siderophores—that links terrestrial (soil/rhizosphere) and marine microbiomes. Across diverse bacterial taxa, siderophore production is widespread and central to competitive fitness because Fe(III) is poorly soluble and frequently sequestered in environmental or host matrices. Yet in boron-rich settings (seawater and borate-enriched soils), the same oxygen-donor architectures that support Fe(III) chelation can also engage boron chemistry. We synthesize evidence that carboxylate/α-hydroxyacid (dicitrate-type) and catecholate siderophores can form tetrahedral borate/boronate complexes, whereas hydroxamate siderophores generally lack the vicinal dianionic O,O motif required for stable boron binding. Structurally characterized examples—including vibrioferrin, rhizoferrin, and petrobactin—demonstrate that boron complexation is experimentally observable by ESI-MS and multinuclear NMR and can be modulated by pH and microenvironment. Integrating these findings with datasets on boron-tolerant bacteria, we propose that when iron is scarce and boron is available, boron–siderophore complexation becomes chemically feasible and may influence microbial physiology by altering ligand conformation, metal selectivity, and potentially extracellular signaling behavior—especially in marine systems where borate is abundant at oceanic pH. Overall, this review frames boron-binding siderophores as a cross-ecosystem phenomenon and a promising conceptual bridge between environmental boron geochemistry, microbial metal economy, and metalloid-mediated signaling. Full article

Nature-inspired ligands, including natural product scaffolds and bio-inspired motifs, have emerged as an important source for the development of gold(I) complexes with promising preclinical anticancer activity. This review focuses on structurally characterised gold(I) complexes derived from these ligands, emphasising how ligand structure and gold coordination influence the biological activity. This paper covers the synthesis of nature-inspired gold(I) complexes, alkynyl, N-heterocyclic carbene (NHC), heteroatom-donor, and heterobimetallic complexes, which collectively contribute to enhanced cytotoxicity, stability, and mechanistic diversity. By focusing on these nature-inspired gold(I) complexes, this review provides a concise structure–activity perspective and outlines future opportunities for rational design in anticancer research. Full article

Assessing the environmental impacts of food donation systems is necessary to support food donation policy and management. Few life cycle assessment (LCA) studies have investigated the environmental impacts of food donation systems. This comparative LCA study analyzed the environmental impacts of eight different donation scenarios reflecting diverse supply chain configurations and operational management options, using 391.8 kg of redistributed food over two weeks as the functional unit. Each of the eight scenarios presented net environmental benefits for all five life cycle environmental impact categories: 132~233 kg CO₂-eq for global warming potential, 2.30~5.24 kg SO₂-eq for acidification potential, 1.13~2.04 kg N-eq for eutrophication potential, 1791~3140 MJ for cumulative energy demand, and 3.7 × 10⁷~5.8 × 10⁷ m³ for water resource depletion. The highest magnitudes of environmental benefits were achieved when intermediary organizations collected and gleaned the surplus food from donors and then transported it to food pantries (the eighth scenario). Improving the quality of donated food, augmenting the sorting capacities of emergency organizations, and shortening transportation distances could increase the environmental benefits of food donation systems. The environmental impact intensities of production and waste management choices for food waste generated during the redistribution of the surplus food ranked as the top influential factors for the five environmental impacts. Rescuing surplus food from donors who landfilled the wasted food tended to yield larger environmental benefits than from donors who composted it. Overall, this study finds that improving donation quality and increasing the capacities of emergency food organizations are crucial for maximizing the environmental benefits of the fresh produce donation system. Full article