埃及伊蚊
生物
白纹伊蚊
致倦库蚊
登革热
伊蚊
载体(分子生物学)
灭蚊
基孔肯雅
幼虫
丝虫病
斯氏按蚊
登革热病毒
假单胞菌
兽医学
微生物学
细菌
病毒学
生态学
动物
疟疾
免疫学
遗传学
生物化学
重组DNA
医学
基因
蠕虫
作者
Supipi H. Wijesundara,Sanduni R. Piumali,Thilini C. Weeraratne,F. Noordeen,W. A. Priyanka P. De Silva
摘要
Abstract The critical impact of mosquito‐borne diseases on public health, along with the failure of current control strategies, highlights the need for novel mosquito control approaches mainly in tropical countries. This study explored the larvicidal properties of bacterial isolates from the egg surfaces of Aedes aegypti L. and Aedes albopictus Skuse (Diptera: Culicidae), the primary and secondary dengue vector mosquitoes in Sri Lanka. Among 30 bacterial isolates, a local strain of Pseudomonas mosselii Quesnel isolated from the egg surfaces of the dengue vectors demonstrated strong larvicidal activity against Ae. aegypti . Larvicidal assays using the bacterial supernatant (OD 1.7) and freeze‐dried products were performed across concentrations ranging from 80 to 2.1 mg/mL. The LC 50 values for the supernatant were 55, 54 and 52 mg/mL at 24, 48 and 72 h, respectively, with corresponding LC 90 values of 91, 89 and 86 mg/mL. Freeze‐dried supernatant showed LC 50 values of 2.73, 2.64 and 2.63 mg/mL, while freeze‐dried bacterial culture showed higher toxicity with LC 50 values of 2.57, 2.51 and 2.44 mg/mL. Strong larvicidal activity was observed against Culex quinquefasciatus Say (Diptera: Culicidae), a primary vector of filariasis. The freeze‐dried products retained their efficacy for up to 2 months. Ovicidal and adulticidal assays indicated no significant effects on mosquito eggs or adults. However, the active components of bacterial metabolites significantly impacted the development of Aedes larvae. Toxicity effects were observed in non‐target organisms, including zooplankton and tadpoles. These findings suggest the local Ps. mosselii strain as a potential bio‐larvicide against dengue vectors while underscoring the need for further environmental assessment.
科研通智能强力驱动
Strongly Powered by AbleSci AI