Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
Insecticide-Driven Patterns of Genetic Variation in the Dengue Vector Aedes aegypti in Martinique Island
PLoS ONE, Volume 8, No. 10, Article e77857, Year 2013
Notification
URL copied to clipboard!
Description
Effective vector control is currently challenged worldwide by the evolution of resistance to all classes of chemical insecticides in mosquitoes. In Martinique, populations of the dengue vector Aedes aegypti have been intensively treated with temephos and deltamethrin insecticides over the last fifty years, resulting in heterogeneous levels of resistance across the island. Resistance spreading depends on standing genetic variation, selection intensity and gene flow among populations. To determine gene flow intensity, we first investigated neutral patterns of genetic variability in sixteen populations representative of the many environments found in Martinique and experiencing various levels of insecticide pressure, using 6 microsatellites. Allelic richness was lower in populations resistant to deltamethrin, and consanguinity was higher in populations resistant to temephos, consistent with a negative effect of insecticide pressure on neutral genetic diversity. The global genetic differentiation was low, suggesting high gene flow among populations, but significant structure was found, with a pattern of isolation-by-distance at the global scale. Then, we investigated adaptive patterns of divergence in six out of the 16 populations using 319 single nucleotide polymorphisms (SNPs). Five SNP outliers displaying levels of genetic differentiation out of neutral expectations were detected, including the kdr-V1016I mutation in the voltage-gated sodium channel gene. Association tests revealed a total of seven SNPs associated with deltamethrin resistance. Six other SNPs were associated with temephos resistance, including two non-synonymous substitutions in an alkaline phosphatase and in a sulfotransferase respectively. Altogether, both neutral and adaptive patterns of genetic variation in mosquito populations appear to be largely driven by insecticide pressure in Martinique. © 2013 Marcombe et al.
Available Materials
https://efashare.b-cdn.net/share/pmc/articles/PMC3799629/bin/pone.0077857.s001.docx
https://efashare.b-cdn.net/share/pmc/articles/PMC3799629/bin/pone.0077857.s002.doc
https://efashare.b-cdn.net/share/pmc/articles/PMC3799629/bin/pone.0077857.s003.docx
https://efashare.b-cdn.net/share/pmc/articles/PMC3799629/bin/pone.0077857.s004.xlsx
Authors & Co-Authors
Marcombe, Sébastien
France, Montpellier
Ird Centre de Montpellier
Paris, Margot
France, Saint Martin D'heres
Université Grenoble Alpes
Switzerland, Zurich
Eth Zürich
Paupy, Christophe
France, Montpellier
Ird Centre de Montpellier
Gabon, Franceville
Centre International de Recherches Medicales de Franceville
Bringuier, Charline
France, Saint Martin D'heres
Université Grenoble Alpes
Yébakima, André
Martinique
Conseil Général de la Martinique
Chandre, Fabrice
France, Montpellier
Ird Centre de Montpellier
David, Jean Philippe
France, Saint Martin D'heres
Université Grenoble Alpes
Corbel, Vincent
France, Montpellier
Ird Centre de Montpellier
Thailand, Bangkok
Kasetsart University
Després, Laurence
France, Saint Martin D'heres
Université Grenoble Alpes
Statistics
Citations: 26
Authors: 9
Affiliations: 6
Identifiers
Doi:
10.1371/journal.pone.0077857
e-ISSN:
19326203
Research Areas
Cancer
Genetics And Genomics
Infectious Diseases