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Gene flow networks among American Aedes aegypti populations

dc.contributor.authorda Silva, Anders Goncalves
dc.contributor.authorCunha, Ivana C. L.
dc.contributor.authorSantos, Walter S.
dc.contributor.authorLuz, Sergio L. B.
dc.contributor.authorRibolla, Paulo E. M. [UNESP]
dc.contributor.authorAbad-Franch, Fernando
dc.contributor.institutionCSIRO
dc.contributor.institutionFiocruz Amazonia
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T13:52:35Z
dc.date.available2014-05-20T13:52:35Z
dc.date.issued2012-11-01
dc.description.abstractThe mosquito Aedes aegypti, the dengue virus vector, has spread throughout the tropics in historical times. While this suggests man-mediated dispersal, estimating contemporary connectivity among populations has remained elusive. Here, we use a large mtDNA dataset and a Bayesian coalescent framework to test a set of hypotheses about gene flow among American Ae. aegypti populations. We assessed gene flow patterns at the continental and subregional (Amazon basin) scales. For the Americas, our data favor a stepping-stone model in which gene flow is higher among adjacent populations but in which, at the same time, North American and southeastern Brazilian populations are directly connected, likely via sea trade. Within Amazonia, the model with highest support suggests extensive gene flow among major cities; Manaus, located at the center of the subregional transport network, emerges as a potentially important connecting hub. Our results suggest substantial connectivity across Ae. aegypti populations in the Americas. As long-distance active dispersal has not been observed in this species, our data support man-mediated dispersal as a major determinant of the genetic structure of American Ae. aegypti populations. The inferred topology of interpopulation connectivity can inform network models of Ae. aegypti and dengue spread.en
dc.description.affiliationCSIRO, Div Marine & Atmospher Res, Hobart, Tas 7000, Australia
dc.description.affiliationFiocruz Amazonia, ILMD, Manaus, Amazonas, Brazil
dc.description.affiliationUniv Estadual Paulista UNESP, São Paulo, Brazil
dc.description.affiliationUnespUniv Estadual Paulista UNESP, São Paulo, Brazil
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado do Amazonas (FAPEAM)
dc.format.extent664-676
dc.identifierhttp://dx.doi.org/10.1111/j.1752-4571.2012.00244.x
dc.identifier.citationEvolutionary Applications. Hoboken: Wiley-blackwell, v. 5, n. 7, p. 664-676, 2012.
dc.identifier.doi10.1111/j.1752-4571.2012.00244.x
dc.identifier.fileWOS000310543800002.pdf
dc.identifier.issn1752-4571
dc.identifier.lattes3577149748456880
dc.identifier.orcid0000-0001-8735-6090
dc.identifier.urihttp://hdl.handle.net/11449/18770
dc.identifier.wosWOS:000310543800002
dc.language.isoeng
dc.publisherWiley-Blackwell
dc.relation.ispartofEvolutionary Applications
dc.relation.ispartofjcr4.694
dc.relation.ispartofsjr2,676
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectAmazoniaen
dc.subjectcoalescenten
dc.subjectdengueen
dc.subjectdisease spreaden
dc.subjectMigrate-Nen
dc.subjectND4en
dc.subjectnetworksen
dc.titleGene flow networks among American Aedes aegypti populationsen
dc.typeArtigo
dcterms.licensehttp://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1601-0825/homepage/ForAuthors.html
dcterms.rightsHolderWiley-blackwell
dspace.entity.typePublication
unesp.author.lattes3577149748456880[5]
unesp.author.orcid0000-0002-2257-8781[1]
unesp.author.orcid0000-0001-8735-6090[5]
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências, Botucatupt
unesp.departmentParasitologia - IBBpt

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