Literature DB >> 11904102

Microsatellite markers for population genetic studies in Aedes aegypti (Diptera: Culicidae) from Côte d'Ivoire: evidence for a microgeographic genetic differentiation of mosquitoes from Bouaké.

S Ravel1, J-P Hervé, S Diarrassouba, A Kone, G Cuny.   

Abstract

In West Africa, Aedes aegypti (Diptera: Culicidae) (Linnaeus, C., 1762. Zweyter Theil, enhalt Beschreibungen veschiedener wichtiger Naturalien. In: Hasselquist, F. (Ed.), Reise nach Palastina in den Jahren von 1749 bis 1752, Rostock, Germany, pp. 267-606) represents the principal vector of yellow fever. This study reports the use of microsatellite markers to characterise various A. aegypti populations from Côte d'Ivoire according to a north-south transect, and to perform a temporal genetic survey of the mosquitoes. Three microsatellite loci were used to analyse individuals from four different places: Kabolo, Bouaké, and two different districts of Abidjan. We found that the four populations are genetically distinct except the two Abidjan populations. In the Bouaké population, the coexistence of two cryptic species, not morphologically distinguishable, seems to account for the extensive heterozygote deficiency observed. Comparison of mosquitoes from Bouaké 1 year apart indicated that a dramatic change occurred in the structuring of this population over time. Taken together these results indicate that microsatellite markers could be useful for identifying various populations of A. aegypti on a microgeographic scale and to assess for temporal variation within mosquito populations.

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Year:  2002        PMID: 11904102     DOI: 10.1016/s0001-706x(02)00028-1

Source DB:  PubMed          Journal:  Acta Trop        ISSN: 0001-706X            Impact factor:   3.112


  8 in total

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Authors:  Akio Mori; Yoshio Tsuda; Masahiro Takagi; Yukiko Higa; David W Severson
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2.  Spatial genetic structure of Aedes aegypti mosquitoes in mainland Southeast Asia.

Authors:  Thaung Hlaing; Willoughby Tun-Lin; Pradya Somboon; Duong Socheat; To Setha; Sein Min; Sein Thaung; Okorie Anyaele; Babaranda De Silva; Moh Seng Chang; Anil Prakash; Yvonne Linton; Catherine Walton
Journal:  Evol Appl       Date:  2010-01-27       Impact factor: 5.183

3.  Cryptic vector divergence masks vector-specific patterns of infection: an example from the marine cycle of Lyme borreliosis.

Authors:  Elena Gómez-Díaz; Paul F Doherty; David Duneau; Karen D McCoy
Journal:  Evol Appl       Date:  2010-04-09       Impact factor: 5.183

4.  Human-Mediated Marine Dispersal Influences the Population Structure of Aedes aegypti in the Philippine Archipelago.

Authors:  Eugenio Fonzi; Yukiko Higa; Arlene G Bertuso; Kyoko Futami; Noboru Minakawa
Journal:  PLoS Negl Trop Dis       Date:  2015-06-03

5.  Genetic variability and spatial distribution in small geographic scale of Aedes aegypti (Diptera: Culicidae) under different climatic conditions in Northeastern Brazil.

Authors:  Lizandra Makowski Steffler; Silvio Santana Dolabella; Paulo Eduardo Martins Ribolla; Carine Spenassatto Dreyer; Edilson Divino Araújo; Rosane Gomes Oliveira; Walter Fabrício Silva Martins; Roseli La Corte
Journal:  Parasit Vectors       Date:  2016-10-04       Impact factor: 3.876

6.  Genetic Analysis of Aedes aegypti Using Random Amplified Polymorphic DNA (RAPD) Markers from Dengue Outbreaks in Pakistan.

Authors:  Hafiz Muhammad Ashraf; Muhammad Kashif Zahoor; Shabab Nasir; Humara Naz Majeed; Sarwat Zahoor
Journal:  J Arthropod Borne Dis       Date:  2016-10-04       Impact factor: 1.198

7.  Evidence of multiple inseminations in the field in Aedes albopictus.

Authors:  Sebastien Boyer; Celine Toty; Maxime Jacquet; Guy Lempérière; Didier Fontenille
Journal:  PLoS One       Date:  2012-08-15       Impact factor: 3.240

8.  Genome-based polymorphic microsatellite development and validation in the mosquito Aedes aegypti and application to population genetics in Haiti.

Authors:  Diane D Lovin; Katie O Washington; Becky deBruyn; Ryan R Hemme; Akio Mori; Sarah R Epstein; Brent W Harker; Thomas G Streit; David W Severson
Journal:  BMC Genomics       Date:  2009-12-09       Impact factor: 3.969

  8 in total

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