Search Results (723)

The solitary predatory wasp Rhynchium brunneum is an important natural enemy of lepidopteran pests. In the present study, we systematically identified its chemosensory gene families, comprising 11 odorant-binding proteins (OBPs), 9 chemosensory proteins (CSPs), 147 odorant receptors (ORs), 21 gustatory receptors (GRs) and 28 ionotropic receptors (IRs). Multiple sequence alignment confirmed that OBPs and CSPs contain conserved cysteines motifs. Further alignment analysis revealed that certain genes within the GR family form high similarity clusters (up to 81%) on the same chromosome, indicative of recent tandem duplications. The IR family displays a dispersed similarity gradient (31–87%) and the OR family shows a broader spectrum (18–78%), suggesting a composite history of both recent and ancient duplication events. Phylogenetic and selection pressure analyses indicated that OBPs and CSPs are highly conserved within the Eumeninae, whereas ORs, GRs, and IRs have undergone lineage-specific expansions. All orthologous gene pairs shared with the social wasp Vespa mandarinia are subject to purifying selection (Ka/Ks < 1), consistent with evolutionary constraint. Numerous species-specific genes were also detected. The observed patterns suggest the hypotheses about ecological adaptations such as specific prey pheromones, location of suitable nesting sites, and so on. Resolving these relative contributions will require broader taxon sampling and functional validation assays. These results in the present study provide a genomic resource for chemosensory gene characterization in Vespidae and a foundation for future olfactory-based pest management strategies. Full article

Rice is a staple food for more than half of the global population, but its production is threatened by insect pests such as planthoppers, stem borers, leafhoppers, and defoliators. The widespread use of chemical pesticides has raised concerns regarding environmental contamination, pest resistance, and negative effects on beneficial arthropods. This review examines the role of biological control and habitat management in sustainable rice pest management. It highlights the diversity and ecological roles of natural enemies, including parasitoid wasps, mirid bugs, ladybird beetles, and spiders, which help suppress pest populations in rice ecosystems. Key habitat management approaches, such as conservation biological control, ecological engineering, banker plant systems, flower strips, and the preservation of non-crop habitats, are discussed for their capacity to enhance the abundance and effectiveness of natural enemies. The review also considers integrating these approaches into IPM programs to reduce reliance on pesticides while maintaining crop productivity. Evidence from rice-growing regions demonstrates the effectiveness of habitat-based strategies in improving pest suppression and strengthening ecosystem resilience. However, challenges related to landscape complexity, farmer adoption, long-term implementation, and the need for a clear roadmap for future landscape-scale entomological research remain. Future research should focus on optimizing habitat management practices and integrating ecological approaches with modern agricultural technologies to support sustainable rice production. Full article

The transition from simple herbivory to specialised gall induction in Cynipidae marks an evolutionary peak in insect–plant interactions. This structural and ultrastructural study suggests that the gall wasp larva has evolved from a passive consumer into a biological architect, utilising a highly specialised body plan. The structure of the large midgut, the midgut epithelium reinforced by septate junctions, and the cuboidal cells of the hindgut allow for the possibility that the larva of Andricus quercustozae may control itself independently from its host, working as an active producer rather than just recycling materials. The foregut constitutes approximately 10% of the alimentary canal length, while the large blind midgut occupies 80%. The remaining 10% consists of a specialised hindgut tube, which is anteriorly closed and contains a reinforced, cuticularised external anal pore. This posterior structure, together with a dense aggregation of urocytes and oenocytes in the anal region, presumed systemic homeostasis and the symmetrical distribution of hormonal signals. These anatomical hallmarks provide a structural baseline to hypothesize that biosynthesis may represent a key mechanism for phytohormone acquisition, while suggesting that this closed-circuit anatomy could potentially be a contributing factor influencing the spherical morphogenesis of the gall. Full article

Digger wasps are solitary apoid wasps that excavate ground nests and use venom to paralyze insect prey. Recent phylogenetic analyses suggest that digger wasps belong to an ancient lineage of aculeate Hymenoptera and share an evolutionary ancestry with other venomous hymenopterans, including bees and ants. Although the venoms of ants, bees, and social wasps have been extensively studied, those of digger wasps remain poorly characterized in terms of their composition, molecular diversity, and biological activity. In this study, we investigated the venom of the digger wasp Cerceris japonica using integrated transcriptomic and proteomic analyses. We identified 19 toxin-like proteins and peptides, 14 non-toxin-associated components, and 11 novel peptides and proteins with no detectable similarity to known peptides and proteins. Among these, peptide Cj 2 exhibited insecticidal activity but showed no antimicrobial, hemolytic, or nicotinic acetylcholine receptor-modulating activities. These findings provide new insights into the molecular diversity and biological activities of digger wasp venom, expand our understanding of venom evolution in venomous hymenopterans, and serve as a framework for elucidating the conserved and lineage-specific features of hymenopteran venoms. Full article

Background: Insect stings, particularly those caused by Hymenoptera such as wasps and bees, are frequent triggers of severe allergic reactions and anaphylaxis, yet the ability to predict short-term risk periods based on environmental conditions has not been systematically evaluated. Meteorological factors influence both insect activity and human exposure, highlighting a relevant gap in preventive risk assessment. Methods: This exploratory single-center study was conducted in Bochum, Germany, an urban region within the Rhine-Ruhr metropolitan area. A 17-year retrospective dataset (2005–2022) of clinically treated Hymenoptera-related sting events was analyzed to explore time-resolved, weather-informed patterns using artificial intelligence (AI)-based machine learning. The study emphasizes methodological feasibility and pattern identification rather than clinical prediction. Daily weather parameters were transformed into expert-informed indicators capturing current-season and carry-over environmental conditions. A multilayer perceptron (MLP) was trained to identify periods of increased sting occurrence, and model performance was evaluated primarily using recall to capture rare-event signals. Results: A total of 346 clinically significant sting events were recorded. Weather variables showed strong spatial coherence across four stations and were associated with intra-seasonal clustering of sting events rather than absolute annual incidence. Exploratory analyses suggested that earlier seasonal onset correlated with higher sting counts (Pearson R = −0.52; p = 0.037). Weekly aggregation improved model performance compared with daily prediction. The cross-validated MLP showed moderate recall (0.431) and high specificity (0.86), supporting exploratory risk stratification; however, post hoc benchmarking did not demonstrate consistent superiority over simpler baseline approaches. Conclusions: This study combines a long-term clinical insect sting dataset with high-resolution meteorological data to explore time-resolved, weather-informed risk patterns using machine learning. The findings demonstrate the technical feasibility of exposure-based risk stratification in a rare-event setting. However, benchmarking showed that the MLP did not consistently outperform simpler baseline approaches for binary warning of elevated-risk periods. This proof-of-concept should therefore be interpreted as exploratory and not as a stand-alone warning system, supporting further external validation in larger, multi-center cohorts before clinical, public health, or digital health implementation can be considered. Full article

Background: Brazilian wasp venoms represent a clinically relevant yet underexplored source of bioactive molecules with important implications for allergy, toxicology, and neuropharmacology. This review discusses the biological and immunological activities of venoms from Neotropical wasp species prevalent in Brazil, particularly within the genera Polybia, Synoeca, Polistes, and Agelaia, with emphasis on venom composition, IgE-mediated hypersensitivity, and ion-channel modulation. Methods: A narrative literature review was conducted using studies focused on venom characterization, electrophysiological effects, immune responses, and clinical manifestations associated with Brazilian and other Hymenoptera species. Results: Brazilian wasp venoms contain a diverse repertoire of peptides, enzymes, and low-molecular-weight compounds that act synergistically on multiple cellular targets. Among these, mastoparan-like peptides exhibit antimicrobial, immunomodulatory, and membrane-disruptive activities, contributing to inflammation and cellular dysfunction. In addition, several venom components interact with ion channels and neuronal receptors, modulating neuronal excitability and synaptic signaling, which highlights their potential applications in neuropharmacology. Simultaneously, allergenic proteins can induce IgE sensitization and immediate hypersensitivity reactions ranging from localized manifestations to systemic anaphylaxis. The marked taxonomic and biochemical diversity of Brazilian wasps contributes to substantial variability in venom composition and clinical outcomes. Conclusions: Overall, these venoms constitute a valuable and still insufficiently explored source of biologically active compounds with potential applications in allergy diagnosis, venom immunotherapy, and drug development. Full article

Semantic segmentation of high-resolution remote sensing (HRRS) imagery is a fundamental task in Earth observation but remains challenging due to severe scale variations and complex boundary structures. Although State Space Models (SSMs), particularly Mamba, have shown strong potential for efficient global modeling with linear complexity, existing methods are still limited in capturing multi-scale context and fine-grained spatial details. To address these issues, we propose a novel framework named WASP-Mamba for HRRS image segmentation. A Mamba-based spatial pyramid pooling module is introduced at the encoder bottleneck to enhance multi-scale feature aggregation and improve robustness to scale variations. In addition, a wavelet-inspired Mamba decoder is designed to decouple and reconstruct low-frequency semantic information and high-frequency details, mitigating boundary degradation caused by conventional upsampling. Extensive experiments on the LoveDA, ISPRS Vaihingen and ISPRS Potsdam datasets demonstrate that the proposed method achieves 53.90%, 84.32% and 87.06% mIoU, respectively. Compared with recent state-of-the-art methods, WASP-Mamba achieves superior segmentation performance. Full article

The family Scoliidae is composed of parasitoid wasps of notable ecological and agronomic importance, particularly for their role in the natural control of soil-dwelling beetle larvae within agroecosystems. This study provides the first record of Campsomeriella whitelyi (Kirby, 1889) in Chile, a species originally described from the Tambo Valley, Arequipa, Peru. The specimens analyzed, previously identified as Campsomeris servillei (Guérin-Méneville, 1831), were found to correspond to Campsomeriella whitelyi, whose known distribution in Chile was restricted to the extreme north. Their identity was confirmed through morphological analysis, which revealed the presence of a distinct yellow band on the fourth abdominal tergite and an elongated posterior tibial spur—diagnostic characters consistent with the original description of the species. This record from the Coquimbo Region represents the southernmost known expansion of the species. Specimens were collected between 2017 and 2025 in horticultural and rainfed agroecosystems associated with the Elqui River Basin (Coquimbo Region, Chile), using entomological nets in targeted sampling efforts. The edaphoclimatic conditions of the area—characterized by light-textured soils, winter humidity, and a high availability of hosts—appear to have favored the establishment of this wasp in a previously unreported environment. Through MaxEnt modeling, areas of high environmental suitability were identified in Chile’s Norte Chico region. From an agronomic perspective, this finding opens opportunities to incorporate Campsomeriella whitelyi as a functional component in integrated pest management (IPM) programs, particularly in the biological control of Scarabaeidae (Coleoptera) larvae that affect root, bulb, and minor fruit crops. Its adaptation to semi-arid agricultural environments suggests potential resilience under climate change scenarios, as well as a low impact on non-target species. This study contributes to applied entomology and functional conservation, promoting the integration of beneficial Hymenoptera into sustainable agricultural systems of north-central Chile. Full article

Biomimetics often treats convergent evolution as the strongest sign that a biological solution is general. That inference is safest when the constraint does not counter-adapt. Hosts do. In coevolved host-interface systems, recurrence alone cannot tell us whether a solution is translatable. Biomimetic transferability depends first on two axes: conservation of the host target and versatility of the attacking lineage. A conserved target behaves, for translational purposes, like a biochemical constraint, a broad-host parasite has already tested its mechanism across biological variation. The window narrows when the target is taxonomically local, or when the mechanism has become a private molecular conversation inside a narrow dyad. Haematophagous feeders, intracellular protozoans, specialist helminths, and polydnavirus-bearing parasitoid wasps therefore do not offer the same kind of biomimetic object. Some yield molecules, some vulnerability maps, some contextual principles, and some only architecture or analogy. The point is not to mine coevolved systems less, but to stop mistaking coevolutionary success for biomimetic portability. Full article

Globally, Trichogramma Westwood (Hymenoptera: Trichogrammatidae) is known as the most effective biological control agent due to its ability to parasitize insect pest eggs. However, identifying an appropriate host is vital for Trichogramma to prosper. Therefore, this study delves into the complex role of semiochemicals in shaping the host-seeking behavior of Trichogramma parasitoids, with a particular focus on their responses to both plant-derived and host-derived cues. The mechanism of semiochemical reception in Trichogramma wasps relies on a highly specialized, sensitive olfactory and gustatory system to locate host eggs and mates. Semiochemicals, which mediate ecological interactions, have been identified as pivotal in influencing the parasitic efficiency of Trichogramma species. Trichogramma’s host-seeking behavior is influenced not solely by ovipositional cues but also by the intrinsic physical attributes of Lepidopteran hosts, such as the scales on the wings and abdomen, which emit semiochemicals capable of eliciting positive chemotactic responses, thereby guiding parasitoids toward optimal sites for oviposition. Furthermore, the interplay between insect-derived and plant-derived chemical cues exhibits a synergistic effect, collectively enhancing the chemotactic attraction of Trichogramma, thereby fine-tuning its host-seeking behavior with greater precision and specificity. This study further underscores Trichogramma’s innate behavioral ability to discriminate between host eggs of varying developmental stages, facilitating the precise identification and selection of the most suitable host for parasitization. Age and experience both make Trichogramma more selective of hosts, but younger parasitoids may take a broader approach to host selection due to their greater life expectancy. Furthermore, the removal of these cues affects their host localization and learning abilities. Associative learning enables Trichogramma to exhibit flexible behaviors, providing them with a selective advantage; allows them to explore various hosts; and reduces environmental uncertainty. Plant structure, host density, and host age are the key factors that significantly influence the foraging and parasitism of Trichogramma. The searching speed of this parasitoid is significantly influenced by temperature. Heat stress increases VOC emissions in plants such as potato via stomatal opening, reducing herbivore attraction and enhancing parasitoid recruitment. Furthermore, air pollution, including CO₂, O₃, and NOx, impairs parasitoid efficiency by disrupting volatile-mediated host location and reducing biological control performance. Trichogramma wasps are generally effective biological control agents, but their success depends on the species used, target pest, crop, release density, and field conditions. Overall, species such as T. ostriniae, T. japonicum, and T. leucaniae show the strongest performance in several crops by increasing parasitism, reducing pest damage, and improving yield. This study highlights the successful integration of semiochemical cues in pest management programs and the effective utilization of Trichogramma in conjunction with entomopathogenic bacteria to control Lepidopteran pests. This approach contributes to the development of more effective pest management strategies, thereby promoting agricultural sustainability. Full article

This study presents the findings of on-farm trials conducted in Hungary between 2023 and 2025, evaluating the efficacy of inundative Trichogramma releases against the European corn borer (ECB) and the cotton bollworm (CBW). The research assessed three Trichogramma preparations, including solo T. brassicae (TB) and two species mixtures: (1) T. dendrolimi, T. cacoeciae, and T. brassicae (TSM1) and (2) T. brassicae and T. pintoi (TSM2). The timing of the releases was synchronized with pest swarming and maize phenology. The efficacy of Trichogramma-based biological control was assessed by comparing the number of damaged plants and the number of pest larvae detected in treated and untreated plots. Statistical analyses revealed a significant association between the release of parasitoids and a reduction in pest damage. The efficacy of the Trichogramma releases was determined using Abbott’s formula. In our research, the following pattern emerged: (1) medium efficacy (ranging from 40% to 68.2%) occurred under low pest pressure and optimal weather conditions; (2) low efficacy (35.5% and 33.3%) occurred under medium pest pressure and suboptimal climatic conditions; and (3) no efficacy occurred under high pest abundance combined with unfavorable weather. Our findings suggest that Trichogramma-based products can serve as complementary components of Integrated Pest Management (IPM); however, they also emphasize that parasitism by Trichogramma wasps is influenced by several factors, such as climatic conditions and pest abundance, indicating that additional plant protection treatments may be necessary, for example, under high pest pressure and/or suboptimal climatic conditions. Full article

To address the limited cross-domain generalization of single-algorithm models for shield attitude prediction, this study proposes a heterogeneous algorithm-fusion framework based on Stacking. The framework integrates multiple machine learning algorithms and uses the Spider Wasp Optimizer (SWO) for hyperparameter optimization, thereby overcoming the limitations of individual learners and reducing the need for laborious algorithm selection. Principal Component Analysis (PCA) is further used to reduce dimensionality and reconstruct high-dimensional features, which lowers computational complexity and improves prediction accuracy. The proposed PCA-SWO-Stacking algorithm was applied to shield attitude prediction using data from the Shanghai Beiheng Passageway project. The results show strong predictive performance, with all R² values exceeding 0.94 and all RMSE and MAE values remaining below 2. Comparative experiments with commonly used ensemble algorithms and ablation studies further confirm the effectiveness and robustness of the proposed method. Full article

Indolent systemic mastocytosis (ISM) is an under-recognised cause of secondary osteoporosis, and skeletal fragility may be the only presenting feature, delaying diagnosis. We describe four adults referred to a tertiary endocrinology service for unexplained osteoporosis or low-trauma fractures, in whom systemic mastocytosis (SM) was identified during work-up. All had elevated basal serum tryptase (41.4–87.0 µg/L), bone-marrow biopsy showing atypical mast cells and the KIT D816V variant; cutaneous lesions were absent in every case. Three patients fulfilled WHO 2022 criteria for ISM. The fourth had coexistent JAK2 V617F-positive post-essential-thrombocythaemia myelofibrosis and was classified as SM with associated haematological neoplasm (SM-AHN); his mast cell clone (tryptase 43.7 µg/L; KIT D816V VAF 0.391%) behaved indolently and contributed clinically through osteoporosis alone, illustrating that an indolent mast cell component can be overlooked when a chronic myeloid neoplasm dominates the picture. Presentations ranged from an isolated low-energy L5 fracture in a 55-year-old man, to multiple vertebral compression fractures despite denosumab in a 71-year-old woman with primary hyperparathyroidism, to severe wasp-sting anaphylaxis in a 43-year-old man. After multidisciplinary review, all received intravenous zoledronic acid with vitamin D repletion; KIT-targeted therapy is under consideration in selected patients. Although causal inferences cannot be drawn from four retrospectively identified cases, the series illustrates how ISM may be missed in unexplained or treatment-refractory osteoporosis—particularly in younger men, those with prior severe anaphylaxis, and those fracturing on antiresorptive therapy—and supports combining basal serum tryptase with high-sensitivity peripheral-blood KIT D816V testing, in line with the WHO/ICC/AIM-ECNM 2022–2024 criteria. Prospective studies are needed. Full article

This paper presents a complete analysis and simulation of the operation of a zero-emission marine vessel with electric propulsion. A hypothetical passenger ferry operating in the Aegean Sea, Greece, is considered, which is powered by a hydrogen fuel cell, a battery energy storage system (BESS) and photovoltaic (PV) energy. Wind-assisted ship propulsion (WASP) is employed to reduce the energy consumption of the ship. A complete analysis is performed, which includes optimal energy management, dynamic analysis and emerging stability concerns due to the high integration of power electronic converters in the shipboard microgrid. The energy management system (EMS) applies multi-objective optimization based on the corona virus optimization (CVO) algorithm and the teaching–learning-based optimization algorithm (TLBO). The dynamic behavior of the microgrid is tested using real-time digital simulations. Converter-driven stability issues are investigated, which may arise due to interactions among the various converter controllers and passive components of the microgrid. Full article

Ooencyrtus kuvanae is an egg parasitoid species that attacks the egg masses of Dendrolimus spp. and Lymantria spp. in China, which gives it a temporal niche advantage against pest infestations by Dendrolimus spp. and Lymantria spp. Moreover, it has a short life cycle, high offspring outcome, and female-biased population, showing distinctive ovarian development and oviposition behaviors and thus providing an ideal model for reproductivity and regulatory mechanisms. Previous studies have found that the Vitellogenin (Vg) and Vitellogenin Receptor (VgR) genes play important regulatory roles in the ovarian development of a few wasp species, but little is known about how these two genes work within O. kuvanae. Therefore, we observed their oviposition traits, characterized their gene structure, and clarified the function of Vg and VgR. The results showed that continuous daily oviposition significantly reduced the daily mature eggs and offspring per female by providing a single host egg for oviposition in each experimental trial, while the proportion of female offspring reached 100%, indicating that thelytokous parthenogenesis occurred. The full-length sequences of OkVg and OkVgR were cloned and submitted to GenBank. qPCR detection revealed that the transcription levels were the highest in adults. Feeding 20-hydroxyecdysone can increase OkVg gene expression (by 2.4-fold), while feeding juvenile hormone can promote their OkVgR expression (by 2.3-fold). RNA interference significantly downregulated OkVg and OkVgR expression in adult ovaries. And dsVg significantly reduced the ovarian egg load by 45% (p < 0.05), while dsVgR caused oviduct contraction and offspring decrease. Simultaneous silencing of OkVg and OkVgR significantly reduced offspring outcomes, indicating both genes may jointly dominate oocyte development. This study provides functional evidence of molecular regulation and interaction between OkVg and its receptor genes. Full article