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Population genetic structure of Anopheles maculatus in Thailand

  • Mahidol University
  • US Army Medical Directorate of the Armed Forces Research Institute of Medical Sciences
  • USDA-ARS National Laboratory for Agriculture and the Environment

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

Anopheles (Cellia) maculatus Theobald is a major malaria vector in southern Thailand and peninsular Malaysia, and previous population genetic studies suggested that mountain ranges act as barriers to gene flow. In this study we examine the genetic variance among 12 collections of natural populations in southern Thailand by analyzing 7 microsatellite loci. Based on analysis of molecular variance (AMOVA), three geographic populations of An. maculatus are suggested. The northern population exists in western Thailand north of 12° north latitude. Mosquitoes to the south fall into two genetic populations: 1) the middle southern collections located on the west side of the Phuket mountain range between 8° and 10° north latitude, and 2) the southern collections located on the east of the Phuket mountain range located between approximately 6.5° and 11.5° north latitude. AMOVA revealed significant genetic differentiation between northern and middle southern and southern populations. The middle southern population was moderately differentiated from the southern population. Furthermore, gene flow was restricted between proximal collections located on different sides of the Phuket mountain range. Collections separated by 50 km exhibited restriction of gene flow when separated by geographic barriers, whereas greater gene flow was evident among collections 650 km apart but without geographic barriers.

Original languageEnglish
Pages (from-to)192-197
Number of pages6
JournalJournal of the American Mosquito Control Association
Volume22
Issue number2
DOIs
Publication statusPublished - Jun 2006
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Anopheles maculatus
  • Malaria
  • Microsatellite analysis
  • Mosquitoes
  • Population genetics

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