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Background: Fruit bats are natural carriers of Nipah virus (NiV). The primary objective of this study is to identify potential reservoir species in a selected geographic regions. It is necessary to determine an accurate species identification of the associated reservoir bat species distributed in a specific region. Results: In this study, we collected 20 different bat specimens from the NiV-prone area of the Kushtia district. Among these, 14 were tissue samples (BT-1–14) and six were fecal samples (BF-1–6). We used the mitochondrial gene cytochrome b, one of the most abundant and frequently used genetic markers, for polymerase chain reaction amplification and sequencing. Out of the 20 samples, 12 tissue samples and 2 fecal samples were successfully amplified and sequenced. However, two tissue samples and four fecal samples yielded chimeric sequences, rendering them unsuitable for annotation. The sequences of the successfully amplified samples were compared to those deposited in the National Center for Biotechnology Information database using basic local alignment search tool to identify the bat specimen collected. The study identified six different bat species using both morphological and genetic data, which may carriers of the NiV. Conclusions: Our results suggest that additional research should be conducted to gather more information on fruit bats from different localities across the country. The study contributes to the establishment of appropriate measures for NiV carrying disease control and management.

Rice bakanae, a devastating seed-borne disease caused by Fusarium species requires a more attractive and eco-friendly management strategy. The optimization of plant-mediated silver nanoparticles (AgNPs) as nanofungicides by targeting Fusarium species may be a rational approach. In this study, Azadirachta indica leaf aqueous extract-based AgNPs (AiLAE-AgNPs) were synthesized through the optimization of three reaction parameters: A. indica leaf amount, plant extract-to-AgNO3 ratio (reactant ratio), and incubation time. The optimized green AgNPs were characterized using ultraviolet–visible light (UV–Vis) spectroscopy, field emission scanning electron microscopy (FESEM) with energy dispersive X-ray (EDX) spectroscopy, transmission electron microscopy (TEM), dynamic light scattering (DLS), and powder X-ray diffraction (XRD) techniques. The optimal conditions for producing spherical, unique, and diminutive-sized AgNPs ranging from 4 to 27 nm, with an average size of 15 nm, were 2 g AiLAE at a 1:19 ratio (extract-to-AgNO3) and incubated for 4 h. Fusarium isolates collected from infected soils and identified as F. fujikuroi (40) and F. proliferatum (58 and 65) by PCR were used for seed infestation. The AgNPs exhibited concentration-dependent mycelial growth inhibition with EC50 values ranging from 2.95 to 5.50 μg/mL. The AgNPs displayed exposure time-dependent seed disinfectant potential (complete CFU reduction in F. fujikuroi (40) and F. proliferatum (58) was observed at a concentration of 17.24 μg/mL). The optimized green AgNPs were non-toxic to germinating seeds, and completely cured bakanae under net-house conditions, suggesting their great nano-fungicidal potency for food security and sustainable agriculture.

Prostate cancer (PCa) is the primary cause of cancer-related deaths among men, and its incidence increases with age. Despite the availability of treatments, the high costs and complications associated with current cancer therapies pose challenges. Therefore, there is an urgent need to explore globally accessible and effective alternative medications to support prostate cancer treatment. Bioinformatics and system biology approaches were utilized to investigate repurposed medicines for prostate cancer treatment guided by host genomic biomarkers. The investigation identified 120 common differentially expressed genes (DEGs) and 24 hub genes (HubGs) as potential therapeutic targets by analyzing gene expression patterns and protein-protein interaction (PPI) networks. The top 10 hub genes CDK1, CCNA2, RRM2, ASPM, MELK, HJURP, DLGAP5, NCAPG, TTK, and HMMR are associated with the development and progression of prostate cancer. The DEGs enrichment analysis revealed significant axon guidance, cell-cell adhesion, extracellular space, and calcium signaling pathways associated with prostate cancer. Gene regulatory network analysis revealed transcription factors (FOXC1, GATA2 and E2F1 etc.) and micro-RNAs (hsa-mir-16–5p, hsa-mir-24–3p and hsa-mir-34a-5p etc.) as regulators of hub genes. The potential drug candidates, includingindirubin-3′-Monoxime (−7.7 kcal/mol), benzene sulfonamide (−8.8 kcal/mol), and cladribine (−6.6 kcal/mol) have been identified as the top 3 candidate drugs against CDK1, CCNA2 and RRM2, respectively. Besides, these drugs exhibit strong binding affinity with the target proteins and suggest their potential for repurposing in the treatment of prostate cancer. Collectively, the findings present valuable insights for advancing prostate cancer research, potentially leading to a deeper understanding and novel treatment strategies for relevant diseases.