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Seasonal genetic partitioning in the neotropical malaria vector, Anopheles darlingi
BACKGROUND: Anopheles darlingi is the main malaria mosquito vector in the Amazonia region. In spite of being considered a riverine, forest-dwelling species, this mosquito is becoming more abundant in peri-urban areas, increasing malaria risk. This has been associated with human-driven environmental...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4059831/ https://www.ncbi.nlm.nih.gov/pubmed/24885508 http://dx.doi.org/10.1186/1475-2875-13-203 |
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author | Angêlla, Aline F Salgueiro, Patrícia Gil, Luiz HS Vicente, José L Pinto, João Ribolla, Paulo EM |
author_facet | Angêlla, Aline F Salgueiro, Patrícia Gil, Luiz HS Vicente, José L Pinto, João Ribolla, Paulo EM |
author_sort | Angêlla, Aline F |
collection | PubMed |
description | BACKGROUND: Anopheles darlingi is the main malaria mosquito vector in the Amazonia region. In spite of being considered a riverine, forest-dwelling species, this mosquito is becoming more abundant in peri-urban areas, increasing malaria risk. This has been associated with human-driven environmental changes such as deforestation. METHODS: Microsatellites were used to characterize A. darlingi from seven localities along the Madeira River, Rondônia (Brazil), collected in the early and late periods of the rainy season. RESULTS: Two genetically distinct subpopulations were detected: one (subpopulation A) was associated with the late rainfall period and seems to be ecologically closer to the typical forest A. darlingi; the other (subpopulation B) was associated with the early rainfall period and is probably more adapted to drier conditions by exploiting permanent anthropogenic breeding sites. Results suggest also a pattern of asymmetric introgression, with more subpopulation A alleles introgressed into subpopulation B. Both subpopulations (and admixed mosquitoes) presented similar malaria infection rates, highlighting the potential for perennial malaria transmission in the region. CONCLUSIONS: The co-occurrence of two genetically distinct subpopulations of A. darlingi adapted to different periods of rainfall may promote a more perennial transmission of malaria throughout the year. These findings, in a context of strong environmental impact due to deforestation and dam construction, have serious implications for malaria epidemiology and control in the Amazonian region. |
format | Online Article Text |
id | pubmed-4059831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40598312014-06-18 Seasonal genetic partitioning in the neotropical malaria vector, Anopheles darlingi Angêlla, Aline F Salgueiro, Patrícia Gil, Luiz HS Vicente, José L Pinto, João Ribolla, Paulo EM Malar J Research BACKGROUND: Anopheles darlingi is the main malaria mosquito vector in the Amazonia region. In spite of being considered a riverine, forest-dwelling species, this mosquito is becoming more abundant in peri-urban areas, increasing malaria risk. This has been associated with human-driven environmental changes such as deforestation. METHODS: Microsatellites were used to characterize A. darlingi from seven localities along the Madeira River, Rondônia (Brazil), collected in the early and late periods of the rainy season. RESULTS: Two genetically distinct subpopulations were detected: one (subpopulation A) was associated with the late rainfall period and seems to be ecologically closer to the typical forest A. darlingi; the other (subpopulation B) was associated with the early rainfall period and is probably more adapted to drier conditions by exploiting permanent anthropogenic breeding sites. Results suggest also a pattern of asymmetric introgression, with more subpopulation A alleles introgressed into subpopulation B. Both subpopulations (and admixed mosquitoes) presented similar malaria infection rates, highlighting the potential for perennial malaria transmission in the region. CONCLUSIONS: The co-occurrence of two genetically distinct subpopulations of A. darlingi adapted to different periods of rainfall may promote a more perennial transmission of malaria throughout the year. These findings, in a context of strong environmental impact due to deforestation and dam construction, have serious implications for malaria epidemiology and control in the Amazonian region. BioMed Central 2014-05-29 /pmc/articles/PMC4059831/ /pubmed/24885508 http://dx.doi.org/10.1186/1475-2875-13-203 Text en Copyright © 2014 Angêlla et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Angêlla, Aline F Salgueiro, Patrícia Gil, Luiz HS Vicente, José L Pinto, João Ribolla, Paulo EM Seasonal genetic partitioning in the neotropical malaria vector, Anopheles darlingi |
title | Seasonal genetic partitioning in the neotropical malaria vector, Anopheles darlingi |
title_full | Seasonal genetic partitioning in the neotropical malaria vector, Anopheles darlingi |
title_fullStr | Seasonal genetic partitioning in the neotropical malaria vector, Anopheles darlingi |
title_full_unstemmed | Seasonal genetic partitioning in the neotropical malaria vector, Anopheles darlingi |
title_short | Seasonal genetic partitioning in the neotropical malaria vector, Anopheles darlingi |
title_sort | seasonal genetic partitioning in the neotropical malaria vector, anopheles darlingi |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4059831/ https://www.ncbi.nlm.nih.gov/pubmed/24885508 http://dx.doi.org/10.1186/1475-2875-13-203 |
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