Data from: Large fluctuations in the effective population size of the malaria mosquito Anopheles gambiae s.s. during vector control cycle

On Bioko Island, Equatorial Guinea, indoor residual spraying (IRS) has been part of the Bioko Island Malaria Control Project since early 2004. Despite success in reducing childhood infections, areas of high transmission remained on the island. We therefore examined fluctuations in the effective population size (N_e) of the malaria vector Anopheles gambiae in an area of persistent high transmission over two spray rounds. We analyzed data for 13 microsatellite loci from 791 An. gambiae specimens collected at 6 time points in 2009 and 2010 and reconstructed the demographic history of the population during this period using Approximate Bayesian Computation (ABC). Our analysis shows that IRS rounds have a big impact on N_e, reducing it by 65% to 92% from pre-spray round N_e. More importantly our analysis shows that after 3-5 months, the An. gambiae population rebounded by 2,818% compared to shortly following the spray round. Our study underscores the importance of adequate spray round frequency to provide continuous suppression of mosquito populations, and that increased spray round frequency should substantially improve the efficacy of IRS campaigns. It also demonstrates the ability of ABC to reconstruct a detailed demographic history across only a few tens of generations in a large population. Mongola2009andPE2010DataforDryadThe excel sheet labeled Data contains the genotypes of 791 Anopheles gambiae females for 13 microsatellite loci analyzed in the manuscript: Hodges et al. 2013. Large fluctuations in the effective population size of the malaria mosquito Anopheles gambiae s.s. during vector control cycle. Evolutionary Applications (in press). The format is that of typical microsatellite genotype data, which can be easily imported into the GENALEX program and also formatted into input files for a number of genetic data software programs. The genotype data is arranged as 1 population for each time point with the most recent time point first: Pop1 is April 2010, Pop2 is November 2009, Pop3 is September 2009, Pop4 Is July 2009, Pop5 is May 2009, and Pop6 is March 2009.