Archives of Insect Biochemistry and Physiology最新文献

{"title":"Converging XGboost Machine Learning and Molecular Docking Strategies to Identify Attractants for Ceratitis capitata: Molecular Characterization and Database Curation of Natural Ligands for In Vitro/In Vivo Tests","authors":"E.B. Alencar Filho,&nbsp;R.P. Guimarães,&nbsp;V.C. Santos,&nbsp;A.B.P. Bispo,&nbsp;B.A.G. Paranhos,&nbsp;N.C. Aquino,&nbsp;R. Nascimento,&nbsp;R.F. Oliveira Neto","doi":"10.1002/arch.70095","DOIUrl":"10.1002/arch.70095","url":null,"abstract":"<p>The Mediterranean fruit fly <i>Ceratitis capitata</i> (Wiedemann) (Diptera: Tephritidae) is one of the most critical agricultural pests, causing economic damage globally due to its wide range of fruit hosts. Conventional insecticides have brought environmental, human health, and resistance challenges, driving interest in semiochemicals as sustainable pest management alternatives. Potential molecular attractants can be assessed experimentally through methods such as electroantennography (EAG) or behavioral assays. Odorant Binding Proteins (OBPs) have been recognized as crucial mediators in detecting these chemical signals. Although isolated compounds can provide mechanistic insights, volatile blends more accurately reflect natural conditions and typically elicit stronger behavioral responses. However, designing effective blends is challenging due to their complexity and regulatory limitations. Therefore, curated molecular databases of potential attractants become essential to accelerate the discovery and reduce cost in research programs, both in vitro and in vivo tests. The in silico molecular approaches, including Molecular Docking, Molecular Dynamics (MD) and Quantitative Structure–Activity Relationships (QSAR), offer cost-effective methods to prioritize candidates and/or understand ligand-OBP interactions. In this study, computational methodologies including Machine Learning (ML) based QSAR, molecular docking and MD simulations were integrated to highlight molecular features of standard molecules and identify potential attractors for <i>C. capitata</i>, which are expected to be good OBP binders. Initially, was applied a Bee Colony Algorithm, combined with an final XGBoost Machine Learning model, enabled the identification of five essential molecular descriptors to explain the attractant effect of 20 standard compounds recognized in the literature. Applying this model to an online database of natural products from Brazil (NuBBE—Nuclei of Bioassays, Ecophysiology and Biosynthesis of Natural Products Database), 206 molecules were identified from over 2000 candidates. In a parallel front of investigation, docking-based virtual screening was performed using the same NuBBE database. Most promissory compounds were discussed based on binding energy, structure/geometry focusing on interactions and estimated volatility, through the evaluation of vapor pressure. MD simulations with the gold standard compound (E,E)-α-farnesene provided insights into ligand-protein interactions. Interestingly, 16 of the top 20 ranked compounds after dockings were predicted as attractors by the XGBoost model. Finally, the curated database of 206 compounds, the great contribution of this paper (beyond the model), can be used to assertively select molecules for experimental tests of future blends or isolated compounds.</p>","PeriodicalId":8281,"journal":{"name":"Archives of Insect Biochemistry and Physiology","volume":"120 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12444618/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145079632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of Soybean Cultivar Resistance on the Foraging Behavior of Encarsia sp. Against Bemisia tabaci MEAM1","authors":"Maria Carolina Farias e Silva,&nbsp;Raylson Lopes da Silva,&nbsp;Matheus Monteiro de Santana,&nbsp;Daniel Marques Pacheco,&nbsp;Jean Pierre Cordeiro Ramos,&nbsp;Rafael de Souza Miranda,&nbsp;Jose Bruno Malaquias,&nbsp;Jenilton Gomes da Cunha,&nbsp;Bruno Ettore Pavan,&nbsp;Luciana Barboza Silva","doi":"10.1002/arch.70092","DOIUrl":"https://doi.org/10.1002/arch.70092","url":null,"abstract":"<p><i>Bemisia tabaci</i> MEAM1 is a significant pest in soybean crops, posing a challenge for control and requiring novel strategies within Integrated Pest Management (IPM). This study evaluated the host-searching behavior of the parasitoid <i>Encarsia</i> sp. in response to volatiles emitted by soybean cultivars infested with <i>B. tabaci</i>. Using a Y-shaped olfactometer, we tested the cultivars BRASMAX BÔNUS IPRO® (susceptible) and M 8808 IPRO® (resistant by antixenosis), assessing the parasitoid's response to the emitted volatiles. Additionally, we conducted behavioral bioassays to evaluate <i>Encarsia</i> sp. exploration on leaf disks of the infested cultivars. The results showed that the parasitoid spent more time in the central region of the olfactometer, with no clear preference between cultivars. However, in the foraging bioassays, <i>Encarsia</i> sp. explored the susceptible cultivar more actively, demonstrating a higher frequency of interactions such as antennation and attack on nymphs. The resistant cultivar exhibited lower behavioral diversity, suggesting reduced chemical or physical stimulation for the parasitoid. These findings indicate that the intrinsic characteristics of soybean cultivars can enhance the effectiveness of biological control and constitute a key factor in IPM strategies aimed at optimizing parasitoid performance in whitefly control.</p>","PeriodicalId":8281,"journal":{"name":"Archives of Insect Biochemistry and Physiology","volume":"120 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/arch.70092","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145062495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Hog Louse Haematopinus suis (Phtiraptera) Midgut Morphology and Function. Comparison With Hemiptera and Holometabola","authors":"Ericson K. Gonçalves,&nbsp;Alcides B. Dias,&nbsp;Walter R. Terra,&nbsp;Alberto F. Ribeiro","doi":"10.1002/arch.70091","DOIUrl":"https://doi.org/10.1002/arch.70091","url":null,"abstract":"<div>\u0000 \u0000 <p>The taxon Paraneoptera, comprising Condylognatha (Hemiptera e Thysanoptera) and Psocodea (Phthiraptera and Psocoptera), is paraphyletic, according to recent genomic studies. The midgut morphology and digestive physiology of <i>Haematopinus suis</i> (Phtiraptera) are described here and compared with similar data from Hemiptera and Holometabola. <i>H. suis</i> (Phtiraptera) midgut cells, in contrast to Hemiptera, lack microvillar-associated membranes and have a digestive enzyme secretory mechanism of the type microapocrine, like many Holometabola. Also, like Holometabola, and different from Hemiptera, the main endopeptidases of <i>H. suis</i> are serine endopeptidases (trypsin and chymotrypsin), instead of cysteine endopeptidases. The major difference of <i>H. suis</i> in relation to Holometabola is the absence of a peritrophic membrane (PM), thought to be a consequence of the fact of PM cost of production in this minute insect out weights the benefit of midgut compartmentalization. Our data favor the view that Phthiraptera is closer to Holometabola than to Hemiptera, agreeing with the alleged paraphilia of Paraneoptera.</p></div>","PeriodicalId":8281,"journal":{"name":"Archives of Insect Biochemistry and Physiology","volume":"120 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145062543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Temperature-Dependent Population Model of Apple Leafminer, Phyllonorycter ringoniella (Lepidoptera: Gracillariidae)","authors":"Shubao Geng,&nbsp;Lei Chen,&nbsp;Heli Hou,&nbsp;Li Qiao,&nbsp;Shibao Guo,&nbsp;Zhou Zhou,&nbsp;Hongtao Tu,&nbsp;Chuleui Jung","doi":"10.1002/arch.70094","DOIUrl":"https://doi.org/10.1002/arch.70094","url":null,"abstract":"<p>The Asiatic apple leafminer, <i>Phyllonorycter ringoniella</i> (Matsumura), is a significant secondary pest of apple trees in Northeast Asia. To better understand its population dynamics, a population model based on temperature-developmental relationships was constructed. This model includes three sub-models: spring emergence, immature stage transition, and adult oviposition. Field data were collected from sex-pheromone baited traps in apple orchards in Andong, Korea, during 2015 and 2016 to validate the model. Simulations under six pesticide-natural enemy scenarios showed that the population size of each generation was best simulated when weighted mortality factors for pesticides and natural enemies were applied. Using daily temperature inputs, the model demonstrated that <i>P. ringoniella</i> typically undergoes five generations per year, with peak times predicted within a 7-day margin of field data. Sensitivity analyses revealed that population size was influenced by total fecundity and the larval stage model, but peak times remained consistent despite parameter changes. Higher temperatures led to earlier adult peak dates, especially in summer generations. This model serves as a fundamental tool for estimating population dynamics and abundance changes of <i>P. ringoniella</i> and can guide the timings of pesticide application. Further validation is necessary to test the model's efficacy in controlling pests in apple orchards.</p>","PeriodicalId":8281,"journal":{"name":"Archives of Insect Biochemistry and Physiology","volume":"120 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/arch.70094","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145012599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gene Regulation by RNAi on Apis mellifera ligustica Colonies Based on Engineering Bacteria and Nanomaterials","authors":"Jinqiong Shan,&nbsp;Qi Xu,&nbsp;Ruiyi Cheng,&nbsp;Yujie Duan,&nbsp;Chao Chen","doi":"10.1002/arch.70089","DOIUrl":"https://doi.org/10.1002/arch.70089","url":null,"abstract":"<div>\u0000 \u0000 <p>Honey bees, as indispensable pollinators, can promote agricultural production and maintain ecological balance. Because of honey bees' eusociality, studying honeybee colonies is of great importance. RNA interference (RNAi) has emerged as a powerful tool for honey bee research. However, the application of RNAi in honey bee colonies is frequently impeded by challenges related to the efficient delivery and mass synthesis of dsRNA. In this study, we developed a novel field-based RNAi method for <i>Apis mellifera ligustica</i> Spinola (Hymenoptera: Apidae) colonies by feeding them nanomaterial-encapsulated dsRNA (SPc-loaded dsRNA) synthesized using the pET28-BL21(DE3) RNase III- system. Firstly, we demonstrated that <i>A. mellifera</i> preferred honey solutions containing ultrasonically disrupted <i>E. coli</i> to the original solutions. Secondly, we found that SPc not only effectively protected dsRNA from degradation by honey bee intestinal fluids but also enhanced RNAi efficiency. Finally, we observed a significant reduction in target gene expression levels after implementing RNAi in small hives equipped with automatic feeders, by delivering SPc-loaded dsRNA in a field setting. This is an innovative method to implement RNAi on honey bee colonies based on <i>E. coli</i> and the SPc in the field. The approach provides valuable insights into dsRNA synthesis for honey bees and RNAi implementation in honey bee colonies. This approach holds promise for promoting honey bee research on colony level, ultimately contributing to ecological balance and biodiversity.</p></div>","PeriodicalId":8281,"journal":{"name":"Archives of Insect Biochemistry and Physiology","volume":"119 4","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144888534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stage-Specific Susceptibility of Bemisia tabaci MED Eggs and Neonates to Insecticides With Different Modes of Action","authors":"Sushant Raj Sharma,&nbsp;Hwalsu Hwang,&nbsp;Rajendra Acharya,&nbsp;Donghun Kim,&nbsp;Kyeong-Yeoll Lee","doi":"10.1002/arch.70087","DOIUrl":"https://doi.org/10.1002/arch.70087","url":null,"abstract":"<div>\u0000 \u0000 <p><i>Bemisia tabaci</i> MED is one of the major cryptic species that infests various horticultural crops. Over the years, insecticide resistance has developed in this species due to overuse, yet there is a lack of research on resistance rates among individual insecticides. In this study, the age-specific effects of eight insecticides with different modes of action (acetamiprid [4a], flupyradifuron [4b], spinetoram [5], emamectin benzoate [6], pyrifluquinazon [9b], pyridaben [21a], spiromesifen [23], cyantraniliprole [28]) were tested on <i>B. tabaci</i> eggs of different ages. Insecticides at different doses were applied to eggs on tomato plants via leaf dipping assays, and the mortality until shortly after hatching (1st instar nymphs) was determined. Among the tested compounds, pre-hatch mortality was substantially higher for neonicotinoid compounds (55.8 ± 3.8% and 88.6% ± 4.7% for flupyradifuron and acetamiprid, respectively), hatch failure was greatest for pyridaben (57% ± 6.5%), and 1st instar nymph mortality was higher for emamectin benzoate (74.1% ± 7.9%), pyrifluquinazon (69.9% ± 2.5%), cyantraniliprole (67.9% ± 7.5%), and spinetoram (66.6% ± 3.3%). This suggests that neonicotinoids are highly lethal at the embryonic stage, while pyridaben induced hatch failure, and a variety of other insecticides induced lingering lethality after hatching. Our results provide essential information for understanding each insecticide's developmental and physiological effects and improving the chemical control of <i>B. tabaci</i>.</p></div>","PeriodicalId":8281,"journal":{"name":"Archives of Insect Biochemistry and Physiology","volume":"119 4","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144814791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nonlinear Dose-Response of Cadmium on Drosophila Larval Locomotion: Machine Learning Decodes Behavioral Complexity","authors":"Shi Jin,&nbsp;Chengpeng Wang,&nbsp;Jie Shen","doi":"10.1002/arch.70088","DOIUrl":"https://doi.org/10.1002/arch.70088","url":null,"abstract":"<div>\u0000 \u0000 <p>The prevalent environmental contaminant cadmium threatens ecosystems, yet the lack of high-resolution behavioral kinematics hinders assessment of cadmium neurotoxicity in ecologically critical insect larvae. This study integrated machine learning-based trajectory tracking methodologies, to meticulously quantify dose-dependent effects of cadmium on the locomotion velocity, angular velocity, directional preference, and trajectory alterations, using <i>Drosophila</i> larvae as a model organism. Results demonstrated that cadmium exposure not only increased the larval movement speed and the proportion of active duration but also substantially diminished the angular velocity and the duration of high angular velocity. Notably, the average speed curve among the cadmium treatment groups exhibited a “U”-shaped distribution. At a lower concentration (1 mg/L), an increase in speed and the duration of straight movement were prominent. The medium concentrations (4 and 8 mg/L) were characterized by the highest trajectory complexity and the largest individual disparities, respectively. Despite the enhanced activity at the high concentration (16 mg/L), there was a concurrent increase in movement complexity. These behavioral changes are likely related to factors such as neurotransmitter regulation, visual damage, and antioxidant mechanisms. This study not only reveals the complex effects of cadmium on the movement behavior of insects, but also provides a reference basis for the research on the neurotoxic mechanism of cadmium on organisms and the assessment of the ecological risks of heavy metal pollution.</p></div>","PeriodicalId":8281,"journal":{"name":"Archives of Insect Biochemistry and Physiology","volume":"119 4","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144814792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cloning and Preliminary Functional Studies of the Nicotinic Acetylcholine Receptor α6 Subunit in Megalurothrips usitatus (Bagnall)","authors":"Likui Wang,&nbsp;Wenbo Dong,&nbsp;Linlin Yuan,&nbsp;Huiuhui Wu,&nbsp;Kun Zhang,&nbsp;Pei Liang,&nbsp;Shaoying Wu","doi":"10.1002/arch.70082","DOIUrl":"https://doi.org/10.1002/arch.70082","url":null,"abstract":"<div>\u0000 \u0000 <p>To investigate the functional role of the nicotinic acetylcholine receptor (nAChR) α6 subunit in <i>Megalurothrips usitatus</i> and its involvement in insecticide resistance, we cloned the nAChR α6 gene (<i>Muα6</i>) using RACE technology and analyzed its spatiotemporal expression patterns via RT-qPCR. Functional studies were further conducted under spinetoram stress. The results showed that <i>Muα6</i> (GenBank accession: PQ441948) has a full-length sequence of 1569 bp, encoding 523 amino acids with four transmembrane domains (TM1-TM4), six extracellular loops (Loop A-F), and two N-glycosylation sites (Asn100 and Asn144). Multiple sequence alignment revealed 95.53% similarity between <i>Muα6</i> and the α6 subunit of <i>Frankliniella occidentalis</i> (AOT81842.1). Alternative splicing analysis identified four isoforms (3a8a/3a8b/3b8a/3b8b), with 3b8a being the dominant type (58.3%). Spatiotemporal expression profiling demonstrated the highest <i>Muα6</i> expression in pupae and the lowest in second-instar nymphs. In adults, <i>Muα6</i> expression in the abdomen was significantly lower than in the head and thorax. After 48 h exposure to spinetoram (LC₅₀ = 1.243 mg·L⁻¹), <i>Muα6</i> expression was significantly upregulated to 2.05-fold the control level (<i>p</i> &lt; 0.05). This study is the first to elucidate the molecular characteristics and expression regulation of the <i>Muα6</i> in <i>M. usitatus</i>. The insecticide-induced upregulation suggests its potential role in target-site resistance, providing a theoretical basis for understanding the mode of action of spinosyns and guiding field resistance management strategies.</p></div>","PeriodicalId":8281,"journal":{"name":"Archives of Insect Biochemistry and Physiology","volume":"119 4","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144810979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping the Knowledge Landscape: A Bibliometric Visualization of Bumblebee Research Over Four Decades (1980–2024)","authors":"Feng Zhou,&nbsp;Junjun Liu,&nbsp;Shuning Sun,&nbsp;Yan Chen,&nbsp;Yi Luo","doi":"10.1002/arch.70086","DOIUrl":"https://doi.org/10.1002/arch.70086","url":null,"abstract":"<div>\u0000 \u0000 <p>Bumblebees are a group of approximately 265 species of large-bodied bees adapted to cold climates, widely distributed in diverse regions like subarctic, temperate, subtropical, and tropical areas. However, the decline in bumblebee populations and induced risks in pollination services has stimulated growth in related research. This study conducted a comprehensive bibliometric analysis of bumblebee research over four decades (1980–2024), tracing its historical evolution, current hotspots, and emerging trends. Key findings reveal a consistent increase in both publications and citations related to bumblebees over the past four decades. A total of 1005 scholarly journals published articles on the application of bumblebees, with 200,185 co-citation counts. The United States, the United Kingdom, and several European countries are at the forefront of bumblebee research, with major institutions such as University of California System contributing significantly to the field. The analysis identifies emerging research hotspots in ecology, plant, zoology and molecular biology, highlighting a shift towards interdisciplinary approaches. The analysis of authors and co-cited authors networks revealed 1398 authors contributed to the total number of papers. Dave Goulson ranks first with 160 publications and 2576 co-citations. The keyword co-occurrence network of bumblebee showed three periods, and the strongest citation burst linked to research on pollination and ecosystem services. The evolution of bumblebee research highlights ‘wild bee,’ ‘foraging distance,’ and ‘social learning’ as key emerging topics. The study identifies trends with significant implications, including a growing interest in pollinator conservation and the ecological role of bumblebees, and suggests new directions for future bumblebee research.</p></div>","PeriodicalId":8281,"journal":{"name":"Archives of Insect Biochemistry and Physiology","volume":"119 4","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144773551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the Biopesticide Effects of Juniperus communis L.: Oxidative Stress and DNA Damage in Lasioderma serricorne (Coleoptera: Anobiidae)","authors":"Emine Tuğçe Saraç Cebeci,&nbsp;Ferhat Karakaya,&nbsp;Hatice Baş","doi":"10.1002/arch.70084","DOIUrl":"https://doi.org/10.1002/arch.70084","url":null,"abstract":"<div>\u0000 \u0000 <p>Pesticides have adverse impacts not only on targeted pests but also on the surrounding environment and other species. Therefore, it is important to develop biopesticides. In this study, insecticidal activity against <i>Lasioderma serricorne</i> (F.) larval, pupal, and adult stages (Coleoptera: Anobiidae) was investigated using the essential oil (EO) of <i>Juniperus communis</i> L. berries. <i>L. serricorne</i> individuals were exposed to <i>J. communis</i> EO at varied concentrations (17.2 mg/L, 25.8 mg/L, 34.4 mg/L, 43 mg/L, 51.6 mg/L and 60.2 mg/L) for 24, 48, and 72 h. At the end of the experimental period, mortality, LC₅₀, LC₉₀, and LC₉₉ values for the insects were determined. In addition, antioxidant enzyme activities [Superoxide Dismutase (SOD), Glutathione-S-transferase (GST), Catalase (CAT), Glutathione Peroxidase (GPx), Glutathione reductase (GR)], acetylcholinesterase (AChE) activity, 8-hydroxy-2-deoxyguanosine (8-OHdG), reactive oxygene species (ROS), malondialdehyde (MDA)and DNA fragmentation levels were measured to determine the presence of oxidative stress. At the end of the examination, it was concluded that the larval stage of <i>L. serricorne</i> was the most affected by EO, while the pupal stage was the least affected. The mortality rate of <i>L. serricorne</i> increased with increasing the time and the concentration of exposure to EO. Antioxidant enzyme activity and 8-OHdG levels decreased, but MDA levels and DNA fragmentation increased. In light of the data collected, it was determined that the EO of <i>J. communis</i> has a key function in the control of the insect because it induces oxidative damage on <i>L. serricorne</i>. This study is the first to explore the effect of <i>J. communis</i> on <i>L. serricorne</i>.</p></div>","PeriodicalId":8281,"journal":{"name":"Archives of Insect Biochemistry and Physiology","volume":"119 4","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144751656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}