Mosquitoes (Diptera: Culicidae) from Villages and Forest Areas of Rural Communes in Khanh Hoa and Binh Phuoc Provinces, Vietnam
| Autor: | Maysa Tiemi Motoki, Tu C Tran, Anh Duc Dang, Phong Vu Tran, Nicholas J. Martin, Hoang V Nguyen, Duong N. Tran, Nam Sinh Vu, Jodi M Fiorenzano, Jeffrey C. Hertz |
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| Rok vydání: | 2021 |
| Předmět: |
AcademicSubjects/SCI01382
Species complex Culex DNA barcodes 030231 tropical medicine Zoology mosquito diversity 03 medical and health sciences 0302 clinical medicine parasitic diseases medicine Animals AcademicSubjects/MED00860 030304 developmental biology Aedes 0303 health sciences Larva General Veterinary biology Anopheles Sampling Distribution Dispersal medicine.disease biology.organism_classification PCR-based identification method Culicidae Infectious Diseases Taxon Vietnam Insect Science Parasitology Animal Distribution Mansonia Malaria |
| Zdroj: | Journal of Medical Entomology |
| ISSN: | 1938-2928 0022-2585 |
| DOI: | 10.1093/jme/tjab106 |
| Popis: | This study presents the diversity of mosquitoes collected from communes, endemic with malaria and dengue, located in Khanh Hoa and Binh Phuoc Provinces, Vietnam. A total of 10,288 mosquitoes were collected in the village and forested sites using standard larval dippers, cow-baited traps, ultra-violet light traps, and mechanical aspirators. Mosquito taxa were identified morphologically and species complexes/groups were further characterized molecularly. Five genera of mosquitoes were morphologically identified: Anopheles Meigen (21 species), Aedes Meigen (2 species), Culex Linnaeus (5 species), Mansonia Blanchard sp., and Armigeres Theobald sp. The PCR-based identification methods allowed the distinction of members of Maculatus Group, Funestus Group, and Dirus Complex; and DNA barcodes enabled the further identification of the Barbirostris Complex. Data reported here include the first report of An. saeungae Taai & Harbach and An. wejchoochotei Taai & Harbach from Vietnam, and re-emphasizes the significance of using molecular data in an integrated systematic approach to identify cryptic species and better understand their role in disease transmission. |
| Databáze: | OpenAIRE |
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