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Brazilian Anopheles darlingi Root (Diptera: Culicidae) Clusters by Major Biogeographical Region

The major drivers of the extensive biodiversity of the Neotropics are proposed to be geological and tectonic events together with Pliocene and Pleistocene environmental and climatic change. Geographical barriers represented by the rivers Amazonas/Solimões, the Andes and the coastal mountain ranges i...

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Autores principales: Emerson, Kevin J., Conn, Jan E., Bergo, Eduardo S., Randel, Melissa A., Sallum, Maria Anice M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4501553/
https://www.ncbi.nlm.nih.gov/pubmed/26172559
http://dx.doi.org/10.1371/journal.pone.0130773
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author Emerson, Kevin J.
Conn, Jan E.
Bergo, Eduardo S.
Randel, Melissa A.
Sallum, Maria Anice M.
author_facet Emerson, Kevin J.
Conn, Jan E.
Bergo, Eduardo S.
Randel, Melissa A.
Sallum, Maria Anice M.
author_sort Emerson, Kevin J.
collection PubMed
description The major drivers of the extensive biodiversity of the Neotropics are proposed to be geological and tectonic events together with Pliocene and Pleistocene environmental and climatic change. Geographical barriers represented by the rivers Amazonas/Solimões, the Andes and the coastal mountain ranges in eastern Brazil have been hypothesized to lead to diversification within the primary malaria vector, Anopheles (Nyssorhynchus) darlingi Root, which primarily inhabits rainforest. To test this biogeographical hypothesis, we analyzed 786 single nucleotide polymorphisms (SNPs) in 12 populations of An. darlingi from across the complex Brazilian landscape. Both model-based (STRUCTURE) and non-model-based (Principal Components and Discriminant Analysis) analysis of population structure detected three major genetic clusters that correspond with newly described Neotropical biogeographical regions: 1) Atlantic Forest province (= southeast population); 2) Parana Forest province (= West Atlantic forest population, with one Chacoan population - SP); and 3) Brazilian dominion population (= Amazonian population with one Chacoan population - TO). Significant levels of pairwise genetic divergences were found among the three clusters, allele sharing among clusters was negligible, and geographical distance did not contribute to differentiation. We infer that the Atlantic forest coastal mountain range limited dispersal between the Atlantic Forest province and the Parana Forest province populations, and that the large, diagonal open vegetation region of the Chacoan dominion dramatically reduced dispersal between the Parana and Brazilian dominion populations. We hypothesize that the three genetic clusters may represent three putative species.
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spelling pubmed-45015532015-07-17 Brazilian Anopheles darlingi Root (Diptera: Culicidae) Clusters by Major Biogeographical Region Emerson, Kevin J. Conn, Jan E. Bergo, Eduardo S. Randel, Melissa A. Sallum, Maria Anice M. PLoS One Research Article The major drivers of the extensive biodiversity of the Neotropics are proposed to be geological and tectonic events together with Pliocene and Pleistocene environmental and climatic change. Geographical barriers represented by the rivers Amazonas/Solimões, the Andes and the coastal mountain ranges in eastern Brazil have been hypothesized to lead to diversification within the primary malaria vector, Anopheles (Nyssorhynchus) darlingi Root, which primarily inhabits rainforest. To test this biogeographical hypothesis, we analyzed 786 single nucleotide polymorphisms (SNPs) in 12 populations of An. darlingi from across the complex Brazilian landscape. Both model-based (STRUCTURE) and non-model-based (Principal Components and Discriminant Analysis) analysis of population structure detected three major genetic clusters that correspond with newly described Neotropical biogeographical regions: 1) Atlantic Forest province (= southeast population); 2) Parana Forest province (= West Atlantic forest population, with one Chacoan population - SP); and 3) Brazilian dominion population (= Amazonian population with one Chacoan population - TO). Significant levels of pairwise genetic divergences were found among the three clusters, allele sharing among clusters was negligible, and geographical distance did not contribute to differentiation. We infer that the Atlantic forest coastal mountain range limited dispersal between the Atlantic Forest province and the Parana Forest province populations, and that the large, diagonal open vegetation region of the Chacoan dominion dramatically reduced dispersal between the Parana and Brazilian dominion populations. We hypothesize that the three genetic clusters may represent three putative species. Public Library of Science 2015-07-14 /pmc/articles/PMC4501553/ /pubmed/26172559 http://dx.doi.org/10.1371/journal.pone.0130773 Text en © 2015 Emerson et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Emerson, Kevin J.
Conn, Jan E.
Bergo, Eduardo S.
Randel, Melissa A.
Sallum, Maria Anice M.
Brazilian Anopheles darlingi Root (Diptera: Culicidae) Clusters by Major Biogeographical Region
title Brazilian Anopheles darlingi Root (Diptera: Culicidae) Clusters by Major Biogeographical Region
title_full Brazilian Anopheles darlingi Root (Diptera: Culicidae) Clusters by Major Biogeographical Region
title_fullStr Brazilian Anopheles darlingi Root (Diptera: Culicidae) Clusters by Major Biogeographical Region
title_full_unstemmed Brazilian Anopheles darlingi Root (Diptera: Culicidae) Clusters by Major Biogeographical Region
title_short Brazilian Anopheles darlingi Root (Diptera: Culicidae) Clusters by Major Biogeographical Region
title_sort brazilian anopheles darlingi root (diptera: culicidae) clusters by major biogeographical region
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4501553/
https://www.ncbi.nlm.nih.gov/pubmed/26172559
http://dx.doi.org/10.1371/journal.pone.0130773
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