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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
Population genetic structure of the malaria vector Anopheles nili in sub-Saharan Africa
Malaria Journal, Volume 9, No. 1, Article 161, Year 2010
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Description
Background. Anopheles nili is a widespread efficient vector of human malaria parasites in the humid savannas and forested areas of sub-Saharan Africa. Understanding An. nili population structure and gene flow patterns could be useful for the development of locally-adapted vector control measures. Methods. Polymorphism at eleven recently developed microsatelitte markers, and sequence variation in four genes within the 28s rDNA subunit (ITS2 and D3) and mtDNA (COII and ND4) were assessed to explore the level of genetic variability and differentiation among nine populations of An. nili from Senegal, Ivory Coast, Burkina Faso, Nigeria, Cameroon and the Democratic Republic of Congo (DRC). Results. All microsatellite loci successfully amplified in all populations, showing high and very similar levels of genetic diversity in populations from West Africa and Cameroon (mean Rs = 8.10-8.88, mean He = 0.805-0.849) and much lower diversity in the Kenge population from DRC (mean Rs = 5.43, mean He = 0.594). Bayesian clustering analysis of microsatellite allelic frequencies revealed two main genetic clusters in the dataset. The first one included only the Kenge population and the second grouped together all other populations. High Fst estimates based on microsatellites (Fst > 0.118, P < 0.001) were observed in all comparisons between Kenge and all other populations. By contrast, low Fst estimates (Fst < 0.022, P < 0.05) were observed between populations within the second cluster. The correlation between genetic and geographic distances was weak and possibly obscured by demographic instability. Sequence variation in mtDNA genes matched these results, whereas low polymorphism in rDNA genes prevented detection of any population substructure at this geographical scale. Conclusion. Overall, high genetic homogeneity of the An. nili gene pool was found across its distribution range in West and Central Africa, although demographic events probably resulted in a higher level of genetic isolation in the marginal population of Kenge (DRC). The role of the equatorial forest block as a barrier to gene flow and the implication of such findings for vector control are discussed. © 2010 Ndo et al; licensee BioMed Central Ltd.
Available Materials
https://efashare.b-cdn.net/share/pmc/articles/PMC2898787/bin/1475-2875-9-161-S1.DOC
Authors & Co-Authors
Ndo, Cyrille
Cameroon, Yaounde
Laboratoire de Recherche Sur le Paludisme Yaounde
Cameroon, Yaounde
Université de Yaoundé I
Antonio-Nkondjio, Christophe
Cameroon, Yaounde
Laboratoire de Recherche Sur le Paludisme Yaounde
Cohuet, Anna
France, Montpellier
Ird Centre de Montpellier
Burkina Faso, Ouagadougou
Institut de Recherche en Sciences de la Santé
Ayala, Diego
France, Montpellier
Ird Centre de Montpellier
Kengne, Pierre
Cameroon, Yaounde
Laboratoire de Recherche Sur le Paludisme Yaounde
France, Montpellier
Ird Centre de Montpellier
Morlais, Isabelle
Cameroon, Yaounde
Laboratoire de Recherche Sur le Paludisme Yaounde
France, Montpellier
Ird Centre de Montpellier
Awono-Ambéné, Parfait Herman
Cameroon, Yaounde
Laboratoire de Recherche Sur le Paludisme Yaounde
Couret, Daniel
France, Montpellier
Ird Centre de Montpellier
Burkina Faso, Ouagadougou
Institut de Recherche en Sciences de la Santé
Ngassam, Pierre
Cameroon, Yaounde
Université de Yaoundé I
Fontenille, Didier
France, Montpellier
Ird Centre de Montpellier
Simard, Frédéric R.
France, Montpellier
Ird Centre de Montpellier
Burkina Faso, Ouagadougou
Institut de Recherche en Sciences de la Santé
Statistics
Citations: 41
Authors: 11
Affiliations: 4
Identifiers
Doi:
10.1186/1475-2875-9-161
e-ISSN:
14752875
Research Areas
Genetics And Genomics
Infectious Diseases
Study Design
Cross Sectional Study
Study Locations
Multi-countries
Burkina Faso
Cameroon
Congo
Ivory Coast
Nigeria
Senegal