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A Multi-detection Assay for Malaria Transmitting Mosquitoes
Published on: February 28, 2015
Localization of candidate regions maintaining a common polymorphic inversion (2La) in Anopheles gambiae
Bradley J White1, Matthew W Hahn, Marco Pombi
1Center for Global Health and Infectious Diseases, Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA.
Plos Genetics
|December 12, 2007
Summary
Chromosomal inversions like 2La in Anopheles gambiae mosquitoes are linked to adaptation. Specific gene regions within the inversion show high divergence, suggesting selection maintains this genetic variation.
Area of Science:
- Genomics
- Evolutionary Biology
- Population Genetics
Background:
- Chromosomal inversion polymorphisms are implicated in adaptive divergence.
- The specific genes driving adaptive benefits of inversions remain largely unknown.
- The 2La inversion in Anopheles gambiae is common and its frequency suggests adaptation to aridity.
Purpose of the Study:
- To map genomic differentiation across the Anopheles gambiae genome.
- To identify specific genes or regions under selection associated with the 2La inversion.
- To investigate the evolutionary forces maintaining the 2La inversion polymorphism.
Main Methods:
- Genomic DNA hybridization to oligonucleotide microarrays for genome-wide differentiation mapping.
- Comparison of genetic divergence between mosquitoes homozygous for alternative 2La arrangements.
- Targeted sequencing to validate regions of significant divergence.
Main Results:
- Highest genetic divergence was observed within the 2La rearranged region.
- Two approximately 1.5 Mb regions near inversion breakpoints showed significant divergence.
- The strong association of these regions with the 2La arrangement suggests selection, not just genetic drift.
Conclusions:
- Selection on genes within specific regions is likely responsible for maintaining the 2La inversion.
- The data support a model of migration-selection balance maintaining the inversion.
- Further research is needed to differentiate between local adaptation and coadaptation models for 2La maintenance.

