Vector Genetics Lab

Department of Pathology, Microbiology and Immunology, School of Veterinary Medicine, University of California, Davis

subglobal1 link | subglobal1 link | subglobal1 link | subglobal1 link | subglobal1 link | subglobal1 link | subglobal1 link
subglobal2 link | subglobal2 link | subglobal2 link | subglobal2 link | subglobal2 link | subglobal2 link | subglobal2 link
subglobal3 link | subglobal3 link | subglobal3 link | subglobal3 link | subglobal3 link | subglobal3 link | subglobal3 link
subglobal4 link | subglobal4 link | subglobal4 link | subglobal4 link | subglobal4 link | subglobal4 link | subglobal4 link
subglobal5 link | subglobal5 link | subglobal5 link | subglobal5 link | subglobal5 link | subglobal5 link | subglobal5 link
subglobal6 link | subglobal6 link | subglobal6 link | subglobal6 link | subglobal6 link | subglobal6 link | subglobal6 link
subglobal7 link | subglobal7 link | subglobal7 link | subglobal7 link | subglobal7 link | subglobal7 link | subglobal7 link
subglobal8 link | subglobal8 link | subglobal8 link | subglobal8 link | subglobal8 link | subglobal8 link | subglobal8 link
 

Population Genomics of the Mosquito Anopheles Gambiae in Africa

R01 AI40308 (Lanzaro, PI)

NIH/NIAID

Anopheles gambiae
Anopheles gambiae (Photo by Anthony Cornel)
Malaria control strategies based on genetic manipulation of vectors will require extensive knowledge of vector population genetics. What will be the most suitable time, location and type of mosquito?  Critical information includes: population size, patterns of gene flow, the breeding structure of populations and the effects of natural selection on individual gene loci. The overall goal of the proposed research is to provide such a background.  We propose to address these questions by:
  • Characterizing the (spatial changes) in genetic structure of populations of Anopheles gambiae throughout continental Africa by determining the distribution of chromosomal and molecular polymorphisms. Representative locations will be studied in three countries: Mali in West Africa, Kenya in East Africa, and Cameroon in Central Africa. The genetic markers we will use include chromosome arrangements, microsatellite DNA loci, and mitochondrial DNA loci.

  • Identifying physical/ecological features important for their biology and relate these to spatial changes in population genetic structure, patterns of gene flow, and as selective forces on individual loci. Migration rates among sites will be established by measuring their genetic similarity, then inferring how much gene flow is required to maintain such a similarity. Based on this information we will employ a GIS-based procedure termed "Wombling," which will identify areas with high and low levels of gene flow.  These will be then be correlated with ecological features determined on the ground and from remote imaging.  In this manner ecological features associated with high and low population densities, and also with high and low levels of gene flow can thus be identified. Such information should be helpful to vector control efforts that require an understanding of dispersal and gene flow, including genetic control and insecticide resistance management.  The effects of natural selection on individual loci and segregating sites within loci will be studies by taking a population genomics approach.  This approach provides the means to study the behavior of individual functional genes in nature, bridging the gap between population genetics and molecular biology.

Top of Page

 

 

 

 

 

 

 

Home | Gallery | Publications | Grants | About Us