Analysis of population genetic structure of Indian Anopheles culicifacies species A using microsatellite markers
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  • 作者:Sujatha Sunil (1) (2)
    Om P Singh (1)
    Nutan Nanda (1)
    Kamaraju Raghavendra (1)
    BP Niranjan Reddy (1)
    Sarala K Subbarao (1) (3)
  • 关键词:Anopheles culicifacies complex ; Microsatellite markers ; Population genetics ; Hardy ; Weinberg Equilibrium
  • 刊名:Parasites & Vectors
  • 出版年:2013
  • 出版时间:December 2013
  • 年:2013
  • 卷:6
  • 期:1
  • 全文大小:332KB
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  • 作者单位:Sujatha Sunil (1) (2)
    Om P Singh (1)
    Nutan Nanda (1)
    Kamaraju Raghavendra (1)
    BP Niranjan Reddy (1)
    Sarala K Subbarao (1) (3)

    1. National Institute of Malaria Research, Sector 8, Dwarka, New Delhi, 110 077, India
    2. International Centre for Genetic Engineering and Biotechnology, New Delhi, 110 067, India
    3. Indian Council of Medical Research, Ansari Nagar, New Delhi, 110 029, India
文摘
Background Anopheles culicifacies sensu lato is an important vector of malaria in Southeast Asia contributing to almost 70% of malaria cases in India. It exists as morphologically similar sibling species A, B, C, D and E with varied geographical distribution patterns. Vector control measures have been difficult for this important vector as the sibling species have developed varying levels of resistance to the currently used insecticides. In view of the importance of this vector, we developed and validated a set of microsatellite markers and the same were used to analyze the population genetic structure of five different geographical populations of An. culicifacies A. Methods Anopheles culicifacies A samples were collected from different localities across India, and genotyping was performed using eight microsatellite markers on ABI Prism 310 Genetic Analyzer. Several statistical analyses were performed to ascertain the genetic diversity that exists within and between the populations. Results The markers were found to be moderately polymorphic in the populations. Genetic analysis indicated significant genetic differentiation between the majority of the population pairs analyzed and was not found to be related to the geographical distances between populations. Conclusion This is the first and successful attempt to test the microsatellite markers developed for population genetic analysis of An. culicifacies A. Host feeding and breeding habits of species A suggest that factors other than ecological and geographical barriers were responsible for the genetic differentiation that has been observed between the populations.

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