Malaria Vector Selection Atlas — Anopheles gambiae complex#
Report version — 27 March 2025
The Malaria Vector Selection Atlas reports the results of genome-wide selection scans performed using mosquitoes collected from natural populations of malaria vectors. The purpose of these analyses is to discover genes which are under recent positive selection because they cause insecticide resistance or otherwise enable mosquitoes to resist or evade vector control tools such as insecticide-treated bednets.
These analyses were performed using genomic data from the Malaria Vector Genome Observatory which is a collaborative project to sequence the genomes of malaria-transmitting mosquitoes and make the data available for research and surveillance. This report version analyses data from 4,878 mosquitoes collected in 25 countries.
Selection alerts#
This report includes a curated a set of Insecticide resistance alerts which identify genome regions of public health concern, because overlapping selection signals have been identified and replicated in multiple mosquito cohorts, and because these they contain one or more genes with a proven or plausible link to insecticide resistance. These genome regions are highlighted as a priority for further research and surveillance:
Selection signals#
This report includes the results of genome-wide selection scans run on mosquitoes sampled from multiple species, locations and time points. To provide an overview of these results and aid with the identification of genome regions under recent positive selection, an automated signal detection algorithm has been applied to the outputs of all selection scans. This algorithm detects selection signals, which are genome regions with strong evidence of recent positive selection. See the pages below to browse all selection signals discovered:
Selection scans#
To browse the results of genome-wide selection scans directly, see the map below to select a geographical region of interest, then click on a marker to see available cohorts for that location.
About#
For further information about this report, please see the Methods, FAQ and Glossary pages. If you have any questions, suggestions or corrections, please visit the GitHub repository and raise an issue.