Search Results (310)

Fruit trichomes and pericarp architecture are pivotal for biological defense and postharvest resilience in the genus Actinidia. However, the evolutionary diversity of these structures and the molecular mechanisms governing their development—particularly under the influence of polyploidization—remain poorly understood. We performed a systematic evaluation of 21 Actinidia species and 14 cultivars using scanning electron microscopy (SEM) and histological analysis. To determine the effects of genome doubling, an autotetraploid line was induced from diploid A. chinensis cv. ‘Donghong’, followed by comparative transcriptomic and temporal expression profiling. Morphological characterization identified three distinct evolutionary groups based on fruit surface traits: glabrous, caducous-spotted, and persistent-pubescent. All observed trichomes featured a unique bipartite multicellular architecture. Kiwifruit pericarp thickness (59.8–534.6 μm) was locally reinforced at trichome insertion sites. Among kiwifruit cultivars, polyploidization significantly increased both trichome length and total amount. Transcriptomic analysis revealed 235 differentially expressed genes (DEGs) enriched in hormonal signaling and flavonoid pathways. Two key candidate genes, Achv4p15g023764.t1 and Achv4p01g000003.t1, were identified as candidate genes for stage-specific regulators governing early morphogenesis and late maturation. By characterizing the morphological diversity and genetic underpinnings of Actinidia trichome and epidermal variation, this study establishes a potential scientific framework for the targeted kiwifruit breeding of novel kiwifruit cultivars with optimized fruit surface characteristics. Full article

Due to the non-polar and chemically inert nature of carbon fiber surfaces, the interfacial bonding strength between carbon fibers and norbornene-polyimide (PI-NA) resin matrix is relatively weak. To address this issue, this study constructed a composite coating on the carbon fiber surface and proposed a novel method to build robust interfaces based on multiple interfacial interactions, thereby effectively enhancing the interfacial properties between carbon fibers and PI-NA resin. Inspired by mussel adhesive proteins, this study established a multi-level synergistic interfacial reinforcement system by sequentially constructing a C-PEI@OPDA coating, in situ growing zinc oxide nanorods (ZW) arrays, and grafting 3-mercaptopropyltrimethoxysilane (MPS) onto carbon fiber surfaces. The C-PEI@OPDA coating, rich in amino (–NH₂) and hydroxyl groups (–OH), enhanced adhesion to carbon fibers and adsorbed Zn²⁺ via coordination interactions to provide nucleation sites for ZW growth. Meanwhile, the active hydrogen in the coating promoted the crosslinking of PI-NA resin, thereby increasing the resin crosslinking density in the interfacial region. The vertically aligned ZW significantly increased surface roughness, enhanced mechanical interlocking effects, and provided secondary reaction sites for MPS grafting. The thiol groups (–SH) in MPS formed covalent bonds with PI-NA resin through thiol-ene click reactions, further strengthening interfacial bonding. The results showed that the ILSS, IFSS, and flexural strength of C-PEI@OPDA/ZW/MPS modified carbon fiber composites reached 75.15 MPa, 102.93 MPa, and 1735.56 MPa, representing improvements of 39.09%, 48.79%, and 31.16%, respectively. This study effectively enhanced the carbon fiber-reinforced polymer composites interfacial bonding strength through the synergistic effects of hydrogen bonding, mechanical interlocking, chemical bonding, and increased resin crosslinking density. Full article

The Japanese frog Glandirana rugosa, endemic to Japan, exhibits both XY and ZW sex determination systems in different populations, representing a rare example of sex chromosome turnover within a single species. To explore the genetic basis of this phenomenon, we analyzed the X, Y, Z, and W chromosomes using microdissection followed by next-generation sequencing. All chromosomes originated from chromosome 7, and the sex chromosomal sequences were homologous. Comparative analyses revealed a high degree of sequence similarity between the Y and Z chromosomes. This suggests that the Y and Z chromosomes may have originated from the same ancestral chromosome and remained highly homologous at the genomic sequence level. This relationship supports the idea that transitions between the XY and ZW systems can occur through the reuse of homologous chromosomes. Our findings indicate that G. rugosa provides an informative model for studying the early stages of sex chromosome differentiation and turnover. Understanding these processes in G. rugosa may enhance our understanding of the evolutionary dynamics of sex chromosomes across vertebrates. Full article

A new generalized family of distributions, termed the Cosine–Topp–Leone–Exponentiated Half Logistic–G (Cos–TL–EHL–G) family, is proposed. The primary motivation for introducing this family is to enhance the modelling flexibility of the existing Cosine–Topp–Leone–G class by incorporating a exponentiated half logistic (EHL-G)-based transformation. Two important special cases, namely the Cos–TL–EHL–Weibull (Cos–TL–EHL–W) and Cos–TL–EHL–Log–Logistic (Cos–TL–EHL–LLoG) distributions, are presented. Several mathematical and statistical properties of the proposed family are derived, including series expansions, moments, order statistics, and uncertainty measures. Parameter estimation is carried out using maximum likelihood, least squares, Anderson–Darling, and Cramér–von Mises methods. A Monte Carlo simulation study indicates that the maximum likelihood estimator outperforms the competing estimation techniques. The practical usefulness and robustness of the proposed family are illustrated through applications to two real datasets, where the Cos–TL–EHL–W distribution demonstrates superior performance compared to both nested and non-nested competing models. Full article

The wnt gene family encodes a group of highly conserved secreted glycoproteins that play essential roles in vertebrate development, including tissue patterning, cell differentiation, and gonadal regulation. However, the genomic organization, evolutionary dynamics, and functional roles of Wnt signaling components in flatfish remain poorly understood. In this study, we performed a comprehensive genome-wide identification, evolutionary characterization, expression profiling, and functional analysis of wnt genes in Cynoglossus semilaevis, a flatfish species exhibiting ZW/ZZ sex determination and temperature-induced sex reversal. A total of 20 wnt genes were identified and classified into 13 subfamilies, displaying conserved structural organization and phylogenetic relationships consistent with other teleosts. Chromosomal mapping revealed lineage-specific WNT clusters, including a unique wnt3–wnt7b–wnt5b–wnt16 block, as well as syntenic associations with reproduction-related genes (e.g., adipor2, sema3a, nape-pld, erc2, lamb2), suggesting coordinated genomic regulation. Tissue transcriptome analysis demonstrated strong sex- and tissue-biased expression patterns, with wnt5a predominantly expressed in ovaries and wnt5b specifically upregulated in pseudo-male testes. Functional assays revealed that knockdown of wnt5a or wnt5b induced testis-specific genes (sox9b, tesk1) and suppressed ovarian markers (foxl2, cyp19a1a), indicating antagonistic regulatory roles in gonadal fate determination. Promoter analysis identified yy1a as a selective repressor of wnt5b, but not wnt5a, providing a mechanistic basis for paralog divergence. Furthermore, pull-down combined with LC–MS/MS analysis showed that WNT5b interacts with proteins enriched in ribosome biogenesis and ubiquitin-mediated proteolysis, suggesting a role in translational regulation and protein turnover during spermatogenesis. Together, these findings establish WNT5 signaling—particularly wnt5b—as a key driver of testicular development in C. semilaevis and provide new insights into the molecular mechanisms underlying sex differentiation and sex reversal in flatfish. Full article

Background: Intrachromosomal rearrangements in birds play a subtle but important role in shaping genomic evolution, phenotypic diversity and speciation. However, the avian sex chromosome system (homogametic ZZ males; heterogametic ZW females) remains relatively understudied, and evolutionary rearrangements of the Z chromosome have not been mapped in most species. To address this, we employed universally hybridizing avian Z chromosome probes to metaphases of 11 avian species from South America. Methods: Chromosome preparations were obtained from fibroblast cell cultures of 11 birds representing nine different orders; four bacterial artificial chromosome (BAC) probes were used in our interspecies fluorescence in situ hybridization (FISH) experiments. We identified chromosomal rearrangements in the species investigated, tracing the evolution of the Z chromosome in these species through comparison with reptiles from Southeast Asia (three snake species used as an outgroup), along with two reference species: chicken (Galliformes) and zebra finch (Passeriformes). Results: We observed high rates of intrachromosomal rearrangements in the avian Z chromosome, with most species showing different patterns from chicken and zebra finch. Nannopterum brasilianum (Suliformes) and Jacana jacana (Charadriiformes) showed the same BAC order as chicken, but centromere repositioning was evident. Apart from Piciformes, all other species exhibited a conserved Z chromosome size. The corresponding Z chromosome sequences were homologous to regions of the long arms of Chromosome 2 and W in snakes but not on the Z chromosomes. Conclusions: Comparative analysis of the Z chromosome across avian orders provides important insights into the dynamics of avian sex chromosomes and the evolution of sex chromosome systems in general. Full article

WW-type super-female broodstock are essential for all-female breeding in sturgeons under the ZZ/ZW sex-determination system, but their practical use is constrained by high mortality. This study investigates the underlying physiological and molecular mechanisms contributing to the reduced viability of WW-type super-female sterlet (Acipenser ruthenus) by comparing three genotypes (ZZ, ZW and WW) in terms of survival rates, oxidative stress levels, and gonadal gene expression. F₂ gynogenetic diploid juvenile sterlet with three genotypes were reared for 100 days under controlled conditions. Survival rates were recorded, and oxidative stress markers, including SOD, CAT, MDA and GSH-Px, were measured using commercially available assay kits. Gonadal gene expression profiles were analyzed using transcriptomic analysis. The results revealed that WW-type juveniles exhibited a significantly lower survival rate (64.2%) compared to ZZ-type and ZW-type fish (both 94.2%, p < 0.0001). While hepatic SOD and CAT activities did not differ among genotypes, MDA and GSH-Px levels were significantly higher in WW-type fish, suggesting enhanced lipid peroxidation and an insufficient compensatory antioxidant response. Transcriptome analysis revealed 747 significantly differentially expressed genes between WW-type super-females and normal ZZ/ZW individuals (p < 0.05), with significant enrichment in pathways related to immune regulation, receptor activity, lipid metabolism, and ferroptosis. Notably, downregulation of arachidonic acid metabolism genes (PTGS2, PTGES, PTGDS) was observed, while ferroptosis-related genes GPX4 and SLC3A2 were upregulated, suggesting that disturbed arachidonic acid metabolism, along with lipid peroxidation and ferroptosis activation, contribute to the reduced survival of WW-type super-females. These findings provide integrative physiological and transcriptomic evidence for the mechanistic basis of poor fitness in gynogenetic WW-type super-females and offer foundational data for improving the feasibility of all-female breeding in sturgeon. Full article

HIV infection is accompanied by production of pro-inflammatory cytokines, which are regarded as critical in neuronal damage, leading to brain dysfunction. To develop diagnostic tools and therapeutic interventions, we need to measure CNS response to immune activation, hence the need to identify specific cytokine biomarkers that are associated with brain damage in HIV infection. This cross-sectional retrospective study applied Magnetic Resonance Imaging (MRI) for brain volumetric measurements and high-throughput Luminex-based immunoassays to quantify plasma cytokine and chemokine concentrations. We then used generalized linear models and Partial Least Square Regression models to evaluate the association between brain volume and plasma cytokines in predominantly treatment-naïve participants with HIV. After adjusting for clinical and demographic variables, we observed that higher MCP-1 (p = 0.013) and RANTES (p = 0.002) remained significantly associated with lower cortical white matter volume, whereas the anti-inflammatory cytokine IL-9 (p = 0.025) and the growth factors PDGFBB (p = 0.012) and VEGF (p = 0.001) were associated with higher cortical white matter volume. Only IL-6 (p = 0.010) was significantly associated with lower subcortical grey matter volume. Higher concentrations of five pro-inflammatory cytokines, IL-6 (p = 0.0001), IL-8 (p = 0.018), GCSF (p = 0.004), MCP-1 (p = 0.004), and RANTES (p = 0.015), were associated with lower total grey matter volume. Associations of pro-inflammatory cytokines with lower brain volume could imply a link to mechanisms of HIV-associated brain damage, which may lead to neurocognitive impairment. Therefore, the use of highly sensitive neuroimaging and high-throughput immunoassays in HIV-associated brain disorders has potential applications in clinical assessments and therapeutic monitoring. Full article

Systematic screening of household contacts (HHCs) of people with tuberculosis (TB) and starting them on either TB treatment or tuberculosis preventive treatment (TPT) reduces TB incidence. This project supported HHC management in six health facilities in Zimbabwe through the provision of CXR services, reimbursement of transport costs for HHCs, and provision of fuel and refreshments for healthcare workers involved in contact tracing. We describe TB and TPT cascades among the HHCs of index patients with all forms of TB. We enrolled 251 index patients who listed 794 HHCs: 551 (69%) HHCs of 158 index patients were traced and 520 (94%) screened for TB. Of the 502 who were referred to clinics, 362 (72%) reached the clinic. Among 520 HHCs, 324 (62%) underwent CXR screening and 18 (5%) had CXRs suggestive of TB. The yield of TB was 2.3% (12/520), with CXR detecting eight people who had not reported TB symptoms. Of the 311 who were assessed for TPT eligibility, 126 (41%) started TPT and 119 were assessed for TPT outcomes. Of these, 111 (93%) had successful TPT outcomes. The median times to starting TB treatment and TPT were 7 days and 11 days, respectively. The intervention facilitated timely access to healthcare services and a high yield of TB detection. Full article

Annually, up to 15 million tons of coffee production waste are produced worldwide. Among them are spent coffee grounds (SCG), which have the potential to be recycled and used as organic fertilizers. However, their direct application to soil is limited due to the presence of ecotoxic compounds (phenols, tannins, and caffeine). Composting is a promising approach; however, the highly variable properties of the raw coffee materials require the selection of optimal production and application modes. In this study, we performed two composting methods for SCG, i.e., vermicomposting and microbial composting, in mixtures with co-composting substrate at five SCG/substrate ratios (0, 25, 50, 75, and 100% SCG). First, the acute toxicity of raw SGC and its mixtures to earthworm Eisenia andrei was evaluated. After 30 days of composting, chemical and microbiological properties, including pH, RedOx potential (Eh), organic carbon (C_org), lignin content, bacteria count, diversity, and potential metabolic activity, were determined in the end products. As composting went on, the pH increased from 5.6–6.2 to 6.0–7.3 and 7.4–7.7 under microbial composting and vermicomposting, respectively. RedOx potential levels achieved 142–166 mV for microbial composting and 73–113 mV for vermicomposting. Organic matter (OM) content reached 86–94%, with an increasing proportion of lignin, demonstrating the decomposition of more readily accessible organic matter. Vermicomposting and microbial composting produced chemically safe and microbiologically highly active composts. An initial SCG content of 25–50% of the compost mixture’s weight yielded the most favorable properties for the resulting compost (high organic matter content and optimal pH levels). Due to the high biological activity of both composting methods, the resultant composts are likely to have a positive effect on plant growth and development and soil health when used as organic nutrient resources. Full article

In sturgeon aquaculture, all-female production is desirable due to the high value of caviar. Genetic sexing and the production of WW superfemales are important steps toward achieving this. In this study, we identified the WSR and ZSR primers for amplification of W- and Z-specific regions, respectively. WSR primers were designed on the gene W-linked RT RNase H-like domain containing protein (rnhW). The polymerase chain reaction (PCR) bands were obtained with the WSR primer only in phenotypic female sturgeons, indicating that stable genetic sexing was achieved in most species, including those captured around Hokkaido. Moreover, rnhW showed female-specific expression in the gonads during early sex differentiation in kaluga and Amur sturgeon. ZSR primers were developed from the orofacial cleft 1 candidate gene 1 protein homolog. Clear and distinct gel band patterns for ZZ, ZW, and WW genotypes were obtained using WSR and ZSR primers, consistent with genotypic estimations by quantitative PCR. This consistency confirmed the presence of WW superfemales among offspring produced by fertilizing ZW females with ZW pseudomales masculinized using 17α-methyltestosterone. Our findings provide new insights into the mechanisms of sex determination and differentiation in sturgeons, bringing the establishment of an all-female production system within reach. Full article

This research presents a systems-thinking analysis of Green Internet implementation in Zimbabwe, integrating the Socioecological Model and Life Cycle Model to provide a multi-faceted understanding of the challenges involved. This study analytically investigates the multilevel socioecological factors and dynamics of the technology life cycle that influence the adoption of sustainable IT principles among institutional actors. Utilizing a hermeneutic phenomenographic approach and data from 102 in-depth interviews, this study reveals a significant lack of awareness, inconsistent implementation, and systemic constraints. A key analytical finding is the dominance of cost-driven procurement and a widespread “technological fetish”, which, combined with the absence of a national e-waste regulation, constitutes a permissive constraint that enables unsustainable practices in the country. The study identifies the lack of a formal e-waste recycling infrastructure and a “fear of disposal” as critical inhibitors in the end-of-life phase of the technology life cycle. Rather than viewing these issues in isolation, this research uses a systems lens to identify the establishment of a national e-waste law with mandatory Extended Producer Responsibility (EPR) as a crucial leverage point. This intervention is a strategic measure to overcome structural impediments and promote sustainable urban development in policy-fragile, low-resource contexts, providing valuable insights for policymakers and contributing to the broader discourse on sustainable ICT adoption in education. Full article

Background. Depression and anxiety among young people in Africa are highly prevalent and a significant public health concern. Evidence-based interventions (EBIs) tailored to this demographic’s unique cultural and contextual needs are limited. Methods. We evaluated an intervention that integrates Behavioural Activation (BA) into Problem-Solving Therapy (PST), focusing on its acceptability, feasibility, preliminary impact on depression and anxiety, and necessary adaptations. Three participants with clinically elevated depression received the six-week intervention. Measures of depression (PHQ-9) and anxiety (GAD-7) were administered pre-intervention and at six subsequent time points. Results. PHQ-9 scores decreased from a baseline median score of 15 (Q1–Q3: 11–17) to a follow-up median score of 3 (Q1–Q3: 1–8). GAD-7 score decreased from a baseline median score of 12 (Q1–Q3: 5–14) to a median score of 6 (Q1–Q3: 1–8). Participants endorsed BA components, emphasizing social interaction and achievement-oriented activities, which were perceived as empowering and culturally resonant. Qualitative feedback highlighted the need for adaptations, including simplified language and localized examples, to enhance relevance. Conclusions. Findings support the feasibility of task-sharing BA-enhanced PST with lay workers, but point to the necessity of iterative cultural adaptation to address socioeconomic barriers. Full article

Multimedia learning effectiveness varies widely across cultural contexts and individual learner characteristics, yet existing educational technologies lack computational frameworks that predict and optimize these interactions. This study introduces the Multimedia Integration Impact Assessment Model (MIIAM), a machine learning framework integrating cognitive style detection, cultural background inference, multimedia complexity optimization, and ensemble prediction into a unified architecture. MIIAM was validated with 493 software engineering students from Zimbabwe and South Africa through the analysis of 4.1 million learning interactions. The framework applied Random Forests for automated cognitive style classification, hierarchical clustering for cultural inference, and a complexity optimization engine for content analysis, while predictive performance was enhanced by an ensemble of Random Forests, XGBoost, and Neural Networks. The results demonstrated that MIIAM achieved 87% prediction accuracy, representing a 14% improvement over demographic-only baselines (p < 0.001). Cross-cultural validation confirmed strong generalization, with only a 2% accuracy drop compared to 11–15% for traditional models, while fairness analysis indicated substantially reduced bias (Statistical Parity Difference = 0.08). Real-time testing confirmed deployment feasibility with an average 156 ms processing time. MIIAM also optimized multimedia content, improving knowledge retention by 15%, reducing cognitive overload by 28%, and increasing completion rates by 22%. These findings establish MIIAM as a robust, culturally responsive framework for adaptive multimedia learning environments. Full article