Geographic population structure of the African malaria vector Anopheles gambiae suggests a role for the forest-savannah biome transition as a barrier to gene flow
Version of Record online: 10 JUN 2013
© 2013 The Authors. Published by John Wiley & Sons Ltd.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Volume 6, Issue 6, pages 910–924, September 2013
How to Cite
J, P., A, E.-Y., JL, V., B, G., F, S., M, M., JD, C., F, S., N, E., D, W., MJ, D., A, C. and A, d. T. (2013), Geographic population structure of the African malaria vector Anopheles gambiae suggests a role for the forest-savannah biome transition as a barrier to gene flow. Evolutionary Applications, 6: 910–924. doi: 10.1111/eva.12075
- Issue online: 27 AUG 2013
- Version of Record online: 10 JUN 2013
- Manuscript Accepted: 29 APR 2013
- Manuscript Received: 28 AUG 2012
- UNICEF/UNDP/World Bank/WHO Special Programme for Research
- Training in Tropical Diseases. Grant Number: A50239
- Fundação para a Ciência e Tecnologia/MCTES/FEDER Portugal. Grant Number: SFRH/BD/36410/2007
Table S1. Geographic information, year of collection and molecular form composition of the samples analyzed.
Table S2. Microsatellite loci genotyped.
Table S3. Microsatellite genetic diversity estimates according to collection site.
Table S4. Power and accuracy of the Bayesian clustering analysis implemented by structure (Pritchard et al. 2000) to detect M and S form simulated individuals (N = 100 for each form).
Table S5. Isolation by distance model regressions of FST/(1-FST) on logarithm of distance.
Table S6. Pair-wise estimates of FST (below diagonal) and geographic distance (above diagonal, in kilometres) between sampling sites.
Figure S1. Plots between genetic differentiation and expected heterozygosity to detect candidate microsatellite loci under selection according to the method implemented in lositant (Antao et al. 2008).
Figure S2. Graphics of Evanno's ΔK for the different Bayesian clustering analyses implemented by structure.
Figure S4. Plots of DIC values (Y-axis) against Kmax (X-axis) obtained for tess analysis (Chen et al. 2007) under two admixture models (car and bym).
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