Journal of Genetic Engineering and Biotechnology最新文献

{"title":"Assessment of key transcription factors and drought-responsive genes in wheat cultivars under drought stress","authors":"Mohamed A. Sakr,&nbsp;Eman A. El-Khateeb,&nbsp;Hanan I. Sayed-Ahmed,&nbsp;Reda M. Gaafar","doi":"10.1016/j.jgeb.2026.100657","DOIUrl":"10.1016/j.jgeb.2026.100657","url":null,"abstract":"<div><div>Wheat is a vital crop. Its long-term sustainability and reliability are crucial for global food security. Drought is a major abiotic stress impacting growth of wheat. It is the main cause of low and inconsistent wheat yields. This study explores the role of transcription factors (TFs) and drought-responsive genes in the mechanisms controlling drought stress responses in six Egyptian wheat varieties (Misr1, Misr2, Misr3, Gemmiza9, Sids14, and Sakha95) under severe drought induced by polyethylene glycol. Drought stress was induced with PEG 6000 at 25%, applied for 3 and 6 days on 14-day-old wheat seedlings grown in a hydroponic system. Results showed that antioxidant enzyme activities (CAT, POD, and SOD) were significantly elevated, and H₂O₂ concentrations decreased. After 3 days, proline accumulation notably increased in Gemmiza9 and Misr2, while MDA levels increased across all cultivars, indicating enhanced lipid peroxidation. After 6 days, proline content was significantly elevated in all cultivars, with continued increases in MDA and reductions in H₂O₂ levels. This confirmed ongoing oxidative stress and adaptive responses. The qRT-PCR results revealed a time-dependent gene expression pattern under drought stress. After 3 days, Misr2 cultivar showed the highest induction of <em>TaMYB73</em> (1.56-fold), <em>TaWRKY13</em> (5.62-fold), and <em>TaDHN2.1</em> (4.92-fold), while Sakha95 exhibited the strongest <em>WDERB-2B</em> expression (3.94-fold). After 6 days, <em>TaMYB73</em> was highest in Misr3 (6.32-fold), while <em>TaNAC2</em> peaked in Misr2 (5.98-fold), <em>WDERB-2B</em> in Sakha95 (13.45-fold), and <em>TaDHN2.1</em> in Gemmiza9 (7.78-fold). <em>TaOBF-1B</em> was upregulated in all cultivars and reached its highest level in Misr1 (6.92-fold). This study categorizes Misr2 and Misr3 as tolerant cultivars, Misr1, Sakha95, and Gemmiza9 as semi-tolerant cultivars, and Sids14 as a sensitive cultivar. Our analysis identified key TF genes that regulate wheat’s drought stress response network.</div></div>","PeriodicalId":53463,"journal":{"name":"Journal of Genetic Engineering and Biotechnology","volume":"24 1","pages":"Article 100657"},"PeriodicalIF":2.8,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146090645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Potential role of Adansonia digitata nanoparticles on colorectal cancer induced by colorectal cancer cells (SW620) in nude mice","authors":"Lama R. Alagel ,&nbsp;Afrah F. Alkhuriji ,&nbsp;Manal A. Awad ,&nbsp;Doaa M. Elnagar ,&nbsp;Wejdan S. Al-Qahtani ,&nbsp;Zainab M. Almasawi ,&nbsp;Yasser A. Alshawakir ,&nbsp;Nada M. Merghani ,&nbsp;Nawal M. Al-Malahi","doi":"10.1016/j.jgeb.2026.100659","DOIUrl":"10.1016/j.jgeb.2026.100659","url":null,"abstract":"<div><h3>Background</h3><div>Colorectal cancer is among the most lethal malignancies worldwide and represents the second most commonly diagnosed cancer in both males and females globally. According to the Saudi Health Council (2020), colorectal cancer ranks first among Saudi males and third among Saudi females. The present study aimed to investigate the therapeutic potential of <em>Adansonia digitata</em> nanoparticles against colorectal cancer induced by SW620 human colorectal cancer cells in mice.</div></div><div><h3>Results</h3><div>The findings indicate that <em>Adansonia digitata</em> nanoparticles may represent a potential adjunctive therapeutic strategy for the treatment of colorectal cancer.</div></div><div><h3>Conclusions</h3><div><em>Adansonia digitata</em> nanoparticles (ADNPs), particularly the encapsulated formulation (ADNPs2), demonstrated promising therapeutic potential in colorectal cancer. Treatment with ADNPs improved colonic histoarchitecture and modulated key inflammatory and apoptotic signaling pathways. Although several molecular markers did not exhibit statistically significant changes, consistent pro-apoptotic trends, downregulation of transforming growth factor-β (TGF-β), and reduced tumor invasion were observed, indicating notable anticancer activity. These findings suggest that ADNPs2 may represent a potential adjunctive strategy for the management of colorectal cancer.</div></div>","PeriodicalId":53463,"journal":{"name":"Journal of Genetic Engineering and Biotechnology","volume":"24 1","pages":"Article 100659"},"PeriodicalIF":2.8,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146037705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tissue culture and elicitor applications for sustainable secondary metabolite enhancement in Mentha longifolia (L.) Huds","authors":"Shaimaa N. Mizil","doi":"10.1016/j.jgeb.2025.100655","DOIUrl":"10.1016/j.jgeb.2025.100655","url":null,"abstract":"<div><div><em>Mentha longifolia</em> (L.) Huds., an aromatic herb from the <em>Lamiaceae</em> family, is well known for its bioactive compounds and high demand in the food, cosmetic, and pharmaceutical industries. To overcome several challenges due to overharvesting, disease, and climate change, a dependable, sustainable production method for the important secondary metabolites is necessary, and steady metabolite production under regulated circumstances may be achievable through plant tissue culture. <em>M. longifolia</em> callus cultures were used in this research to evaluate the effects of elicitors, methyl jasmonate (MeJA), salicylic acid (SA), and yeast extract (YE) on biomass accumulation and metabolite synthesis. Murashige and Skoog (MS) medium fortified with 1 mg/l 2,4-D was used to produce calli formed from leaves, which were then subjected to varying concentrations of elicitor. HPLC, quantitative analysis of phenolics, flavonoids, alkaloids, and essential oils were evaluated. The findings indicated that MeJA, at 100 µM supplementation, significantly increased biomass (dry weight increased by 65.12%) and metabolite accumulation, producing the significant levels of phenolics (95.3 ± 4.8 mg GAE/g DW), flavonoids (59.7 ± 3.5 mg QE/g DW), and essential oil content (3.28 ± 0.4% w/w). Both SA and YE increased the accumulation of metabolites, although SA (150 µM) was the most efficient at accumulating alkaloids (2.1 ± 0.1 mg/g DW). In response to the elicitors, the key secondary metabolites biosynthetic genes (PAL, CHS, TDC, and HMGR) were found to be upregulated, with MeJA eliciting (∼5 fold) the highest transcriptional response significantly. All the findings indicate that the use of elicitors, particularly MeJA, showed promise in augmenting the <em>in-vitro</em> production of important secondary metabolites from <em>M. longifolia</em>.</div></div>","PeriodicalId":53463,"journal":{"name":"Journal of Genetic Engineering and Biotechnology","volume":"24 1","pages":"Article 100655"},"PeriodicalIF":2.8,"publicationDate":"2026-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146037706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ResSGA-Net: A deep learning approach for enhanced brain tumor detection and accurate classification in healthcare imaging systems","authors":"Yucheng Guan ,&nbsp;Ahmad Alshammari ,&nbsp;Yu Wang ,&nbsp;Jahan Zeb Gul ,&nbsp;Azhar Imran","doi":"10.1016/j.jgeb.2026.100658","DOIUrl":"10.1016/j.jgeb.2026.100658","url":null,"abstract":"<div><div>Accurate and reliable brain tumor classification from magnetic resonance imaging (MRI) is a critical component of computer-aided diagnosis systems, directly impacting clinical decision-making and patient outcomes. This study presents ResSGA-Net, a hybrid deep learning framework that integrates a ResNet50 backbone with dual attention mechanisms (global and gated) and a Swin Transformer to capture both fine-grained local features and long-range contextual dependencies effectively. A fusion strategy is employed to unify convolutional, attention-refined, and transformer-enhanced representations into a robust feature space for multi-class classification. The proposed model is evaluated on two publicly available benchmark datasets, including a four-class and a three-class brain tumor classification task, using stratified cross-validation. Extensive quantitative analysis demonstrates that ResSGA-Net achieves state-of-the-art performance, with accuracies exceeding 98% on Dataset I and strong generalization on Dataset II (accuracy of 93.18% and macro-averaged AUC of 0.989). Comprehensive statistical significance testing confirms that the observed improvements are highly significant and not attributable to random chance. Ablation studies further validate the individual contributions of attention mechanisms and data augmentation strategies, demonstrating that performance gains arise from tumor-specific feature learning rather than artificial data diversity. Qualitative analyses, including confusion matrices, training dynamics, ROC curves, and confidence-based visualizations, confirm stable convergence, robust generalization, and reliable decision confidence across tumor classes. These results indicate that ResSGA-Net provides an accurate, stable, and clinically meaningful solution for automated brain tumor classification, with strong potential for integration into real-world diagnostic imaging workflows.</div></div>","PeriodicalId":53463,"journal":{"name":"Journal of Genetic Engineering and Biotechnology","volume":"24 1","pages":"Article 100658"},"PeriodicalIF":2.8,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of lncRNA PVT1 rs13255292 variant and serum E-cadherin levels in breast cancer","authors":"Dina Abdelghafar ,&nbsp;Ghada Salum ,&nbsp;Mohga Abdalla ,&nbsp;Shimaa Ramadan ,&nbsp;Abeer Ismail ,&nbsp;Reham Dawood","doi":"10.1016/j.jgeb.2025.100653","DOIUrl":"10.1016/j.jgeb.2025.100653","url":null,"abstract":"<div><h3>Background</h3><div>Breast cancer (BC) is the most frequent malignancy, and a prime cause of lethality related to cancer worldwide. Genetic research, particularly on lncRNA, shows prospects for BC management. PVT1 can activate many tumorigenic pathways. This contributes to angiogenesis and pathological progression. This study examined the association between the PVT1 rs13255292 variants and serum E-cadherin levels with BC risk, hormone receptor status, and tumor grade.</div></div><div><h3>Methodology</h3><div>Genotyping was performed on 120 blood samples (20 controls, 100 BCE patients, 100 stratified by histological grade: G1 = 3, G2 = 74, G3 = 23) using TaqMan assays. Also, Patients were classified as luminal A (n = 79) or non-luminal A (luminal B, HER2-enriched, TNBC) (n = 21). Serum E-cadherin was evaluated by an ELISA kit.</div></div><div><h3>Results</h3><div>Findings revealed a statistically significant association between the PVT1 rs13255292 non-risk CC genotype and luminal A subtype patients, suggesting a potential protective effect. E-cadherin levels were significantly declined in BC patients compared to controls. Based on the histological grades, a notable reduction was detected in advanced G3 compared to G2. While serum E-cadherin showed promise as a non-invasive diagnostic biomarker. Also, the genotype-specific analysis indicated a trend toward higher E-cadherin expression in CC carriers’ group, though without statistical significance.</div></div><div><h3>Conclusion</h3><div>The current finding underscores that the CC genotype is associated with less aggressive luminal A tumors. It also reveals an inverse link between tumor grade and E-cadherin serum levels. These findings suggest that combining genetic screening of PVT1 variants with E-cadherin surveillance could enhance prognostic stratification in BC management. Further validation in larger cohorts is required to confirm clinical utility.</div></div>","PeriodicalId":53463,"journal":{"name":"Journal of Genetic Engineering and Biotechnology","volume":"24 1","pages":"Article 100653"},"PeriodicalIF":2.8,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bioinformatics-Guided structural characterization and immunogenicity assessment of multi-epitope vaccine candidates against Zika virus","authors":"Sirajul Islam,&nbsp;Md. Akramul Haque,&nbsp;Md. Sakhawat Hossain,&nbsp;Md. Al Amin,&nbsp;Shahin Mahmud","doi":"10.1016/j.jgeb.2025.100641","DOIUrl":"10.1016/j.jgeb.2025.100641","url":null,"abstract":"<div><div>The Zika virus (ZIKV) causes a significant global health threat, necessitating the development of effective vaccines. In this study, using bioinformatics and software-based vaccinology approaches, firstly we evaluated the antigenicity of all proteins of ZIKV (EU545988.1), identifying Protein Pr, E, and NS1 as the most antigenic. Subsequent investigation into the antigenic profiles of these proteins across the top 10 infectious ZIKV strains unveiled Strain Zika (USA, KU312312), Rio-U1 (Brazil, KX601166), and Zika (Brazil, KU321639) as harboring the highest antigenicity for Protein Pr (0.7194555), E (0.6559635), and NS1 (0.6115945), respectively. Next, T cell and B cell epitopes were predicted for these proteins, and their antigenicity, allergenicity, and toxicity were evaluated. Binding affinity of T cell epitopes with MHC I and II molecules was determined. Population coverage and conservancy analysis were conducted. Three B cell epitopes (ATMSYECPMLDHVQI, TMSGKAISFATTLG, and KDAHAKRQTVYVCKR) and three T cell epitopes (DLGHTCDATMSYECP, ALGGVMIFLSTAVSA, and TSVWLKYHPDSPRRL) from Protein Pr, E, and NS1 were identified as optimal vaccine candidates. Among them, ALGGVMIFLSTAVSA and TSVWLKYHPDSPRRL showed 100% conservancy and 71.88% and 95.24% Population coverage (worldwide) where DLGHTCDATMSYECP showed 95.24% Conservancy and 94.77% Population coverage. Using them, the multi-epitope vaccine (MEV) was constructed with an appropriate adjuvant (<span><span>P29459</span><svg><path></path></svg></span>) and linkers, including a His-tag for ease of isolation during in vivo procedures. Secondary and tertiary structures of the MEV were predicted, and physiochemical properties and subcellular localization were analyzed. Furthermore, allergenicity, toxicity and immune simulation of the MEV were assessed. Molecular docking analysis confirmed binding affinity with human receptor proteins TLR3 (PDB: <span><span>7C76</span><svg><path></path></svg></span>) and stability was evaluated through Molecular Dynamics Simulation analysis. Post-translational modifications analysis was conducted, and in silico cloning in <em>E. coli</em> was performed to assess cloning feasibility of the MEV. This integrative approach provides insights into the development of a potential ZIKV vaccine, laying the groundwork for further wet lab validation and preclinical and clinical investigations.</div></div>","PeriodicalId":53463,"journal":{"name":"Journal of Genetic Engineering and Biotechnology","volume":"24 1","pages":"Article 100641"},"PeriodicalIF":2.8,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Computational discovery of marine natural phytochemicals as novel SIRT7 inhibitors for cancer treatment","authors":"K.M. Tanjida Islam,&nbsp;Roksana Khanam,&nbsp;Shahin Mahmud","doi":"10.1016/j.jgeb.2025.100654","DOIUrl":"10.1016/j.jgeb.2025.100654","url":null,"abstract":"<div><div>With cancer causing over 10 million deaths annually, identifying novel therapeutic targets is crucial. SIRT7 is a NAD-dependent deacetylase that regulates oncogenic pathways, making it a promising therapeutic target. However, no approved medications currently exist against SIRT7, and available inhibitors exhibit limited efficacy alongside significant toxicity. Therefore, this study explores marine biodiversity as a source of SIRT7 inhibitors. Molecular docking screening of SIRT7 identified four promising marine phytochemicals (CMNPD28383, CMNPD24305, CMNPD24304, CMNPD14924) with superior binding affinities (−9.9 to −8.4 kcal/mol). Molecular dynamics simulations confirmed stable protein–ligand complexes with RMSD variations of 4.714 to 6.905 Å. Most of these phytochemicals demonstrated favorable ADMET profiles, high oral bioavailability, strong predicted anticancer activity (Pa &gt; 0,6), and potent machine learning (RandomForest Cross Validation R² = 0.8614 ± 0.0244) predicted inhibitory activity (pIC₅₀: −2.110 to −2.875; IC₅₀: 129 nM to 749 nM). Therefore, these marine phytochemicals could be potential novel SIRT7 inhibitors with excellent drug-like properties, providing a foundation for further experimental validation and potential clinical translation. In addition, these computational approaches offer a promising avenue to develop safer and effective cancer therapeutics from marine sources.</div></div>","PeriodicalId":53463,"journal":{"name":"Journal of Genetic Engineering and Biotechnology","volume":"24 1","pages":"Article 100654"},"PeriodicalIF":2.8,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145939431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI based multiomics integration for cancer diagnosis and prognosis","authors":"Moshira Ghaleb,&nbsp;Maryam Al-Berry,&nbsp;Hala Ebied,&nbsp;Mohamed Tolba","doi":"10.1016/j.jgeb.2025.100639","DOIUrl":"10.1016/j.jgeb.2025.100639","url":null,"abstract":"<div><div>Cancer remains a critical global health challenge, driving the need for innovative approaches in diagnosis and treatment. This research introduces OmicsFusionNet, an AI-powered hybrid model integrating machine learning and deep learning to revolutionize cancer care. The tool incorporates up to six multiomics datasets—genomics, transcriptomics, and epigenomics—achieving 80.2% accuracy across 23 cancer types. Notably, RNAseq and methylation integration reached 99.8% accuracy, highlighting XGBoost’s feature selection and deep learning’s classification strength.</div><div>For ovarian cancer stage detection, OmicsFusionNet optimized analysis using CPTAC-OV and TCGA-OV datasets, achieving accuracies between 83% and 91% by combining ElasticNet and XGBoost with deep learning. Additionally, KEGG pathway enrichment of multiomics biomarkers identified key cancer-related pathways, advancing early detection, biomarker discovery, and personalized treatments.</div><div>This study underscores the transformative potential of AI and multiomics integration in cancer research, enabling precise interventions and uncovering novel mechanisms that enhance patient outcomes.</div></div>","PeriodicalId":53463,"journal":{"name":"Journal of Genetic Engineering and Biotechnology","volume":"24 1","pages":"Article 100639"},"PeriodicalIF":2.8,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145939429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of low-dose gamma irradiation on seed-borne transmission of tomato brown rugose fruit virus in tomato","authors":"Kimia Tokhmechi ,&nbsp;Abozar Ghorbani ,&nbsp;Davoud Koolivand ,&nbsp;Mahsa Rostami ,&nbsp;Nahid Hajiloo","doi":"10.1016/j.jgeb.2025.100644","DOIUrl":"10.1016/j.jgeb.2025.100644","url":null,"abstract":"<div><div>Tomato brown rugose fruit virus (ToBRFV), a highly virulent tobamovirus, poses a major threat to global tomato production by overcoming host resistance and traditional control measures. This study evaluates the efficacy of low-dose gamma irradiation (10, 15, and 20 Gy) in reducing ToBRFV contamination in tomato seeds. Contaminated seeds were irradiated and assessed for germination rate, chlorophyll content, stem diameter, and viral accumulation with RT-qPCR. The potential synergistic effect of combining 15 Gy gamma irradiation with 2.5 % sodium hypochlorite (NaOCl) was also investigated. Results revealed that 15 Gy significantly improved germination, enhanced chlorophyll levels, and increased stem thickness, while substantially reducing viral replication. In contrast, 20 Gy had detrimental effects on both plant growth and viral suppression. The combination of 15 Gy and NaOCl further decreased viral accumulation, though at the cost of reduced germination rates. Applying 15 Gy confers dual benefits, including effective seed disinfection and improved host resistance. It shows strong potential for use in integrated tomato disease management in greenhouse and field conditions.</div></div>","PeriodicalId":53463,"journal":{"name":"Journal of Genetic Engineering and Biotechnology","volume":"24 1","pages":"Article 100644"},"PeriodicalIF":2.8,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145939432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metagenomic analysis of bacterial and viral communities of Aedes aegypti and Aedes albopictus","authors":"Shahzadi Asia Nadeem ,&nbsp;Ijaz Ali ,&nbsp;Hazrat Hussain ,&nbsp;Ihsan Ullah ,&nbsp;Wajid Ali ,&nbsp;Khalid J. Alzahrani ,&nbsp;Hamid Ali ,&nbsp;Zarak Imtiaz Khan ,&nbsp;Kasim Sakran Abass ,&nbsp;Rafi ur Rahman","doi":"10.1016/j.jgeb.2025.100643","DOIUrl":"10.1016/j.jgeb.2025.100643","url":null,"abstract":"<div><h3>Background</h3><div>The complicated relationship between the <em>Aedes</em> mosquito microbiome, arbovirus transmission and essential physiological processes, is extremely important. Microbial community plays a vital role in shaping vector biology, impacting critical aspects such as parasite replication within the vector, vector longevity, and ultimately, vector competence. Understanding the composition and function of the <em>Aedes</em> microbiome is therefore crucial for developing novel strategies to control arboviral diseases. Therefore, we aimed to identify prevalent bacterial and viral communities in <em>Aedes</em> mosquitoes from Pakistan.</div></div><div><h3>Methods</h3><div><em>Ae. aegypti</em> and <em>Ae. albopictus</em> were collected and from three different regions of Khyber Pakhtoonkhwa, Punjab and federal capital Islamabad. We isolated DNA and sequenced two pools of each species and conducted metagenomic analysis, identifying a variety of bacteria and viruses.</div></div><div><h3>Results</h3><div>We found diverse bacterial and viral communities in both studied species. In <em>Ae. aegypti</em>, the most abundant bacterial species was <em>Klebsiella pneumoniae</em> followed by <em>Acinetobacter baylyi</em>. <em>Ae. albopictus</em> presented <em>Pseudomonas putida</em> as the most abundant bacterial species followed by <em>Brevundimonas diminuta</em>. Similarly in <em>Ae. aegypti</em>, we found that <em>Escherichia phage</em> HK639 was the most abundant viral species while in <em>Ae. albopictus</em>, it was <em>Lactobacillus phage</em> 2. It is important to mention that the prevalent viruses in both <em>Aedes</em> species belong to the <em>Siphoviridae</em> genus.</div></div>","PeriodicalId":53463,"journal":{"name":"Journal of Genetic Engineering and Biotechnology","volume":"24 1","pages":"Article 100643"},"PeriodicalIF":2.8,"publicationDate":"2026-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145939430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}