4.3 Article

Mosquitoes (Diptera: Culicidae) from Villages and Forest Areas of Rural Communes in Khanh Hoa and Binh Phuoc Provinces, Vietnam

期刊

JOURNAL OF MEDICAL ENTOMOLOGY
卷 58, 期 6, 页码 2264-2273

出版社

OXFORD UNIV PRESS INC
DOI: 10.1093/jme/tjab106

关键词

mosquito diversity; PCR-based identification method; DNA barcodes; Vietnam

资金

  1. National Institute of Hygiene and Epidemiology - U.S. Department of Defense Health Agency Research, Development, Technology and Evaluation programs [D1430]
  2. National Institute of Hygiene and Epidemiology (NIHE)

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This study investigated the diversity of mosquitoes in malaria and dengue endemic areas in Khanh Hoa and Binh Phuoc Provinces, Vietnam. A total of 10,288 mosquitoes were collected and identified using morphological and molecular methods. The study highlighted the importance of molecular data in systematic identification of cryptic species for better understanding their role in disease transmission, and also reported the first findings of certain mosquito species in Vietnam.
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. saeungaeTaai & 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.

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