Literature DB >> 9826688

Complexities in the genetic structure of Anopheles gambiae populations in west Africa as revealed by microsatellite DNA analysis.

G C Lanzaro1, Y T Touré, J Carnahan, L Zheng, G Dolo, S Traoré, V Petrarca, K D Vernick, C E Taylor.   

Abstract

Chromosomal forms of Anopheles gambiae, given the informal designations Bamako, Mopti, and Savannah, have been recognized by the presence or absence of four paracentric inversions on chromosome 2. Studies of karyotype frequencies at sites where the forms occur in sympatry have led to the suggestion that these forms represent species. We conducted a study of the genetic structure of populations of An. gambiae from two villages in Mali, west Africa. Populations at each site were composed of the Bamako and Mopti forms and the sibling species, Anopheles arabiensis. Karyotypes were determined for each individual mosquito and genotypes at 21 microsatellite loci determined. A number of the microsatellites have been physically mapped to polytene chromosomes, making it possible to select loci based on their position relative to the inversions used to define forms. We found that the chromosomal forms differ at all loci on chromosome 2, but there were few differences for loci on other chromosomes. Geographic variation was small. Gene flow appears to vary among different regions within the genome, being lowest on chromosome 2, probably due to hitchhiking with the inversions. We conclude that the majority of observed genetic divergence between chromosomal forms can be explained by forces that need not involve reproductive isolation, although reproductive isolation is not ruled out. We found low levels of gene flow between the sibling species Anopheles gambiae and Anopheles arabiensis, similar to estimates based on observed frequencies of hybrid karyotypes in natural populations.

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Year:  1998        PMID: 9826688      PMCID: PMC24361          DOI: 10.1073/pnas.95.24.14260

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  21 in total

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Journal:  Genetics       Date:  1997-12       Impact factor: 4.562

Review 2.  Launching microsatellites: a review of mutation processes and methods of phylogenetic interference.

Authors:  D B Goldstein; D D Pollock
Journal:  J Hered       Date:  1997 Sep-Oct       Impact factor: 2.645

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Journal:  Ann Ist Super Sanita       Date:  1986       Impact factor: 1.663

4.  A measure of population subdivision based on microsatellite allele frequencies.

Authors:  M Slatkin
Journal:  Genetics       Date:  1995-01       Impact factor: 4.562

5.  Polymorphisms detected by random PCR distinguish between different chromosomal forms of Anopheles gambiae.

Authors:  G Favia; G Dimopoulos; A della Torre; Y T Touré; M Coluzzi; C Louis
Journal:  Proc Natl Acad Sci U S A       Date:  1994-10-25       Impact factor: 11.205

6.  Mark-release-recapture experiments with Anopheles gambiae s.l. in Banambani Village, Mali, to determine population size and structure.

Authors:  Y T Touré; G Dolo; V Petrarca; S F Traoré; M Bouaré; A Dao; J Carnahan; C E Taylor
Journal:  Med Vet Entomol       Date:  1998-01       Impact factor: 2.739

7.  The effective population size of Anopheles gambiae in Kenya: implications for population structure.

Authors:  T Lehmann; W A Hawley; H Grebert; F H Collins
Journal:  Mol Biol Evol       Date:  1998-03       Impact factor: 16.240

8.  Microgeographic structure of Anopheles gambiae in western Kenya based on mtDNA and microsatellite loci.

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Journal:  Mol Ecol       Date:  1997-03       Impact factor: 6.185

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10.  Effective population size and persistence of Anopheles arabiensis during the dry season in west Africa.

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Journal:  Med Vet Entomol       Date:  1993-10       Impact factor: 2.739

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  55 in total

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Authors:  B T Beerntsen; A A James; B M Christensen
Journal:  Microbiol Mol Biol Rev       Date:  2000-03       Impact factor: 11.056

2.  Transfer and origin of adaptations through natural hybridization: were Anderson and Stebbins right?

Authors:  Michael L Arnold
Journal:  Plant Cell       Date:  2004-03       Impact factor: 11.277

3.  No evidence for biased co-transmission of speciation islands in Anopheles gambiae.

Authors:  Matthew W Hahn; Bradley J White; Christopher D Muir; Nora J Besansky
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-02-05       Impact factor: 6.237

4.  Gene flow-dependent genomic divergence between Anopheles gambiae M and S forms.

Authors:  David Weetman; Craig S Wilding; Keith Steen; João Pinto; Martin J Donnelly
Journal:  Mol Biol Evol       Date:  2011-08-11       Impact factor: 16.240

5.  A Bayesian heterogeneous analysis of variance approach to inferring recent selective sweeps.

Authors:  John M Marshall; Robert E Weiss
Journal:  Genetics       Date:  2006-06-04       Impact factor: 4.562

6.  Reduced recombination rate and genetic differentiation between the M and S forms of Anopheles gambiae s.s.

Authors:  Michel A Slotman; Lisa J Reimer; Tara Thiemann; Guimogo Dolo; Etienne Fondjo; Gregory C Lanzaro
Journal:  Genetics       Date:  2006-10-22       Impact factor: 4.562

7.  Ecological zones rather than molecular forms predict genetic differentiation in the malaria vector Anopheles gambiae s.s. in Ghana.

Authors:  Alexander E Yawson; David Weetman; Michael D Wilson; Martin J Donnelly
Journal:  Genetics       Date:  2006-11-16       Impact factor: 4.562

8.  Spatiotemporal dynamics of gene flow and hybrid fitness between the M and S forms of the malaria mosquito, Anopheles gambiae.

Authors:  Yoosook Lee; Clare D Marsden; Laura C Norris; Travis C Collier; Bradley J Main; Abdrahamane Fofana; Anthony J Cornel; Gregory C Lanzaro
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-18       Impact factor: 11.205

9.  An integrated chromosome map of microsatellite markers and inversion breakpoints for an Asian malaria mosquito, Anopheles stephensi.

Authors:  Maryam Kamali; Maria V Sharakhova; Elina Baricheva; Dmitrii Karagodin; Zhijian Tu; Igor V Sharakhov
Journal:  J Hered       Date:  2011-08-01       Impact factor: 2.645

10.  Improving the population genetics toolbox for the study of the African malaria vector Anopheles nili: microsatellite mapping to chromosomes.

Authors:  Ashley Peery; Maria V Sharakhova; Christophe Antonio-Nkondjio; Cyrille Ndo; Mylene Weill; Frederic Simard; Igor V Sharakhov
Journal:  Parasit Vectors       Date:  2011-10-19       Impact factor: 3.876

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