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Title: Exploring deeper genetic structures: Aedes aegypti in Brazil
Authors: Maitra, Ahana
Cunha-Machado, Antônio Saulo
Souza Leandro, André de
Costa, Fábio Medeiros da
Scarpassa, Vera Margarete
Keywords: Insecticide
Microsatellite Dna
Demographic Transition
Disease Vector
Gene Flow
Genetic Structure
Genetic Variation
Genetics, Population
Aedes Aegypti
Climate Change
Environmental Recolonization
Gene Cluster
Gene Flow
Gene Locus
Gene Structures
Genetic Difference
Genetic Distance
Genetic Variability
Geographic Distribution
Seasonal Variation
Vector Control
Virus Transmission
Zika Fever
Bayes Theorem
Genetic Variation
Mosquito Vector
Genetics, Population
Aedes Aegypti
Zika Virus
Bayes Theorem
Gene Flow
Genetic Variation
Genetics, Population
Microsatellite Repeats
Mosquito Vectors
Issue Date: 2019
metadata.dc.publisher.journal: Acta Tropica
metadata.dc.relation.ispartof: Volume 195, Pags. 68-77
Abstract: Aedes aegypti, being the principal vector of dengue (DENV1 to 4), chikungunya and Zika viruses, is considered as one of the most important mosquito vectors. In Brazil, despite regular vector control programs, Ae. aegypti still persists with high urban density in all the states. This study aimed to estimate the intra and inter population genetic diversity and genetic structure among 15 Brazilian populations of Ae. aegypti based on 12 microsatellite loci. A total of 510 specimens were analyzed comprising eight locations from northern (Itacoatiara, Manaus, Novo Airão, Boa Vista, Rio Branco, Porto Velho, Guajará-Mirim and Macapá), three from southeastern (Araçatuba, São José de Rio Preto and Taubaté), one from southern (Foz do Iguaçu), one from central west (Cuiabá) and two from northeastern (Campina Grande and Teresina) regions of Brazil. Genetic distances (pairwise values of F ST and Nm) and the analysis of molecular variance (AMOVA) were statistically significant, independent of geographic distances among the sites analyzed, indicating that them are under a complex dynamic process that influence the levels of gene flow within and among regions of the country. Bayesian analysis in STRUCTURE revealed the existence of two major genetic clusters, as well as there was genetic substructure within them; these results were confirmed by AMOVA, BAPS and DAPC analyses. This differentiation is the cumulative result of several factors combined as events of multiple introduction, passive dispersal, environmental and climatic conditions, use of insecticides, cycles of extinction and re-colonization followed by microevolutionary processes throughout the country. Isolation by distance also contributed to this differentiation, especially among geographically closer localities. These genetic differences may affect its vector competence to transmit dengue, chikungunya, Zika and the response to vector control programs. © 2019
metadata.dc.identifier.doi: 10.1016/j.actatropica.2019.04.027
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