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Estimation of divergence time between two sibling species of the Anopheles (Kerteszia) cruzii complex using a multilocus approach
BACKGROUND: Anopheles cruzii is the primary human Plasmodium vector in southern and southeastern Brazil. The distribution of this mosquito follows the coast of the Brazilian Atlantic Forest. Previous studies indicated that An. cruzii is a complex of cryptic species. RESULTS: A multilocus approach us...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3087556/ https://www.ncbi.nlm.nih.gov/pubmed/20356389 http://dx.doi.org/10.1186/1471-2148-10-91 |
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author | Rona, Luísa DP Carvalho-Pinto, Carlos J Mazzoni, Camila J Peixoto, Alexandre A |
author_facet | Rona, Luísa DP Carvalho-Pinto, Carlos J Mazzoni, Camila J Peixoto, Alexandre A |
author_sort | Rona, Luísa DP |
collection | PubMed |
description | BACKGROUND: Anopheles cruzii is the primary human Plasmodium vector in southern and southeastern Brazil. The distribution of this mosquito follows the coast of the Brazilian Atlantic Forest. Previous studies indicated that An. cruzii is a complex of cryptic species. RESULTS: A multilocus approach using six loci, three circadian clock genes and three encoding ribosomal proteins, was implemented to investigate in more detail the genetic differentiation between the An. cruzii populations from Santa Catarina (southern Brazil) and Bahia States (northeastern Brazil) that represent two sibling species. The analysis revealed very high F(ST )values and fixed differences between the two An. cruzii sibling species in all loci, irrespective of their function. An Isolation with Migration model was fit to the data using the IM program. The results reveal no migration in either direction and allowed a rough estimate of the divergence time between the two sibling species. CONCLUSIONS: Population genetics analysis of An. cruzii samples from two Brazilian localities using a multilocus approach confirmed that they represent two different sibling species in this complex. The results suggest that the two species have not exchanged migrants since their separation and that they possibly diverged between 1.1 and 3.6 million years ago, a period of intense climatic changes. |
format | Text |
id | pubmed-3087556 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-30875562011-05-05 Estimation of divergence time between two sibling species of the Anopheles (Kerteszia) cruzii complex using a multilocus approach Rona, Luísa DP Carvalho-Pinto, Carlos J Mazzoni, Camila J Peixoto, Alexandre A BMC Evol Biol Research Article BACKGROUND: Anopheles cruzii is the primary human Plasmodium vector in southern and southeastern Brazil. The distribution of this mosquito follows the coast of the Brazilian Atlantic Forest. Previous studies indicated that An. cruzii is a complex of cryptic species. RESULTS: A multilocus approach using six loci, three circadian clock genes and three encoding ribosomal proteins, was implemented to investigate in more detail the genetic differentiation between the An. cruzii populations from Santa Catarina (southern Brazil) and Bahia States (northeastern Brazil) that represent two sibling species. The analysis revealed very high F(ST )values and fixed differences between the two An. cruzii sibling species in all loci, irrespective of their function. An Isolation with Migration model was fit to the data using the IM program. The results reveal no migration in either direction and allowed a rough estimate of the divergence time between the two sibling species. CONCLUSIONS: Population genetics analysis of An. cruzii samples from two Brazilian localities using a multilocus approach confirmed that they represent two different sibling species in this complex. The results suggest that the two species have not exchanged migrants since their separation and that they possibly diverged between 1.1 and 3.6 million years ago, a period of intense climatic changes. BioMed Central 2010-03-31 /pmc/articles/PMC3087556/ /pubmed/20356389 http://dx.doi.org/10.1186/1471-2148-10-91 Text en Copyright ©2010 Rona et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Rona, Luísa DP Carvalho-Pinto, Carlos J Mazzoni, Camila J Peixoto, Alexandre A Estimation of divergence time between two sibling species of the Anopheles (Kerteszia) cruzii complex using a multilocus approach |
title | Estimation of divergence time between two sibling species of the Anopheles (Kerteszia) cruzii complex using a multilocus approach |
title_full | Estimation of divergence time between two sibling species of the Anopheles (Kerteszia) cruzii complex using a multilocus approach |
title_fullStr | Estimation of divergence time between two sibling species of the Anopheles (Kerteszia) cruzii complex using a multilocus approach |
title_full_unstemmed | Estimation of divergence time between two sibling species of the Anopheles (Kerteszia) cruzii complex using a multilocus approach |
title_short | Estimation of divergence time between two sibling species of the Anopheles (Kerteszia) cruzii complex using a multilocus approach |
title_sort | estimation of divergence time between two sibling species of the anopheles (kerteszia) cruzii complex using a multilocus approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3087556/ https://www.ncbi.nlm.nih.gov/pubmed/20356389 http://dx.doi.org/10.1186/1471-2148-10-91 |
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