Ecological niche partitioning between Anopheles gambiae molecular forms in Cameroon: the ecological side of speciation
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* Corresponding author: Frédéric Simard frederic.simard@ird.fr
1 Laboratoire de Lutte contre les Insectes Nuisibles (LIN), Institut de Recherche pour le Développement (IRD), UR016, 911 Av. Agropolis, 34394 Cedex 5, Montpellier, France
2 Laboratoire de Recherche sur le Paludisme, Organisation de Coordination pour la lutte contre les Endémies en Afrique Centrale (OCEAC), B.P. 288, Yaoundé, Cameroon
3 Sezione di Parassitologia, Dipartimento di Scienze di Sanità Pubblica, Università di Roma "La Sapienza", P.le Aldo Moro 5, 00185, Rome, Italy
4 Institut National de Cartographie (INC), Département de Recherches Géographiques, B.P. 157, Yaoundé, Cameroun
5 Institut de Recherche pour le Développement (IRD), US140, BP 165, Cayenne, Guyane française
6 Eck Institute for Global Health, Department of Biological Sciences, 317 Galvin Life Sciences Bldg., University of Notre Dame, Notre Dame, IN 46556-0369, USA
7 Institut de Recherche en Sciences de la Santé – Direction Régionale de l'Ouest (IRSS-DRO), B.P. 545, Bobo-Dioulasso, Burkina Faso
8 IRD/IRSS-DRO, BP 545, Bobo-Dioulasso, Burkina Faso
BMC Ecology 2009, 9:17 doi:10.1186/1472-6785-9-17
Published: 21 May 2009Additional files
Additional file 1:
Ecological Niche Factor Analysis of Anopheles gambiae molecular form S in Cameroon. Correlation between the ENFA factors and the eco-geographical variables (EGVs, see Methods) for An. gambiae molecular form S. Factor I explains 100% of the marginality. The percentages indicate the amount of specialization accounted for by each factor.
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Additional file 2:
Ecological Niche Factor Analysis of Anopheles gambiae molecular form M in Cameroon. Correlation between the ENFA factors and the eco-geographical variables (EGVs, see Methods) for An. gambiae molecular form M. Factor I explains 100% of the marginality. The percentages indicate the amount of specialization accounted for by each factor.
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Additional file 3:
Ecological Niche Factor Analysis of Anopheles arabiensis in Cameroon. Correlation between the ENFA factors and the eco-geographical variables (EGVs, see Methods) for An. arabiensis. Factor I explains 100% of the marginality. The percentages indicate the amount of specialization accounted for by each factor.
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Additional file 4:
Model validation statistics for Habitat Suitability maps. Model evaluation indices for the habitat suitability maps of the S and M molecular forms of An. gambiae and An. arabiensis in Cameroon, computed with 10-fold cross-validation. Higher means indicate a higher consistency with the evaluation datasets. The lower the standard deviation (SD), the more robust the prediction.
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Additional file 5:
Bayesian assignment of An. gambiae karyotypes to genetic clusters using the software STRUCTURE. Posterior probabilities for K = 1 to K = 10 using chromosomal inversions (A) and systems of inversions (B), see text for details. In both cases, clustering of individuals into three groups (K = 3) was the most probable solution. Open symbols represent the mean posterior probability across 5 independent runs for each value of K. 95% confidence intervals are given for each point estimate.
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Additional file 6:
Distribution of chromosomal arrangements and molecular forms of An. gambiae for the most likely number of genetic clusters in the population (K = 3). Arrangement frequencies in each genetic cluster, and proportion of membership of each molecular form to the three genetic clusters identified as the most likely outcome by the Bayesian multilocus assignment analysis using STRUCTURE.
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