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Gene flow networks among American Aedes aegypti populations
The 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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Blackwell Publishing Ltd
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3492893/ https://www.ncbi.nlm.nih.gov/pubmed/23144654 http://dx.doi.org/10.1111/j.1752-4571.2012.00244.x |
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author | Gonçalves da Silva, Anders Cunha, Ivana C L Santos, Walter S Luz, Sérgio L B Ribolla, Paulo E M Abad-Franch, Fernando |
author_facet | Gonçalves da Silva, Anders Cunha, Ivana C L Santos, Walter S Luz, Sérgio L B Ribolla, Paulo E M Abad-Franch, Fernando |
author_sort | Gonçalves da Silva, Anders |
collection | PubMed |
description | The 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. |
format | Online Article Text |
id | pubmed-3492893 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Blackwell Publishing Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-34928932012-11-09 Gene flow networks among American Aedes aegypti populations Gonçalves da Silva, Anders Cunha, Ivana C L Santos, Walter S Luz, Sérgio L B Ribolla, Paulo E M Abad-Franch, Fernando Evol Appl Original Articles The 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. Blackwell Publishing Ltd 2012-11 /pmc/articles/PMC3492893/ /pubmed/23144654 http://dx.doi.org/10.1111/j.1752-4571.2012.00244.x Text en © 2012 Blackwell Publishing Ltd http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation. |
spellingShingle | Original Articles Gonçalves da Silva, Anders Cunha, Ivana C L Santos, Walter S Luz, Sérgio L B Ribolla, Paulo E M Abad-Franch, Fernando Gene flow networks among American Aedes aegypti populations |
title | Gene flow networks among American Aedes aegypti populations |
title_full | Gene flow networks among American Aedes aegypti populations |
title_fullStr | Gene flow networks among American Aedes aegypti populations |
title_full_unstemmed | Gene flow networks among American Aedes aegypti populations |
title_short | Gene flow networks among American Aedes aegypti populations |
title_sort | gene flow networks among american aedes aegypti populations |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3492893/ https://www.ncbi.nlm.nih.gov/pubmed/23144654 http://dx.doi.org/10.1111/j.1752-4571.2012.00244.x |
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