Population genetic structure of the major malaria vector Anopheles darlingi (Diptera: Culicidae) from the Brazilian Amazon, using microsatellite markers
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional do INPA |
Texto Completo: | https://repositorio.inpa.gov.br/handle/1/14524 |
Resumo: | The population genetic structure of Anopheles darlingi, the major human malaria vector in the Neotropics, was examined using seven microsatellite loci from nine localities in central and western Amazonian Brazil. High levels of genetic variability were detected (5-25 alleles per locus; HE = 0.519-0.949). There was deviation from Hardy-Weinberg Equilibrium for 59.79% of the tests due to heterozygote deficits, while the analysis of linkage disequilibrium was significant for only two of 189 (1.05%) tests, most likely caused by null alleles. Genetic differentiation (FST = 0.001-0.095; Nm = 4.7-363.8) indicates that gene flow is extensive among locations ≤ 152 km apart (with two exceptions) and reduced, but not absent, at a larger geographic scale. Genetic and geographic distances were significantly correlated (R2 = 0.893, P < 0.0002), supporting the isolation by distance (IBD) model. The overall estimate of Ne was 202.4 individuals under the linkage disequilibrium model, and ∞ under the heterozygote excess model. Analysis of molecular variance showed that nearly all variation (∼ 94%) was within sample locations. The UPGMA phenogram clustered the samples geographically, with one branch including 5/6 of the state of Amazonas localities and the other branch the Acre, Rondônia, and remaining Amazonas localities. Taken together, these data suggest little genetic structure for An. darlingi from central and western Amazonian Brazil. These findings also imply that the IBD model explains nearly all of the differentiation detected. In practical terms, populations of An. darlingi at distances ≤ 152 km should respond similarly to vector control measures, because of high gene flow. |
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Scarpassa, Vera MargareteConn, Jan E.2020-04-24T16:49:26Z2020-04-24T16:49:26Z2007https://repositorio.inpa.gov.br/handle/1/1452410.1590/S0074-02762007005000045The population genetic structure of Anopheles darlingi, the major human malaria vector in the Neotropics, was examined using seven microsatellite loci from nine localities in central and western Amazonian Brazil. High levels of genetic variability were detected (5-25 alleles per locus; HE = 0.519-0.949). There was deviation from Hardy-Weinberg Equilibrium for 59.79% of the tests due to heterozygote deficits, while the analysis of linkage disequilibrium was significant for only two of 189 (1.05%) tests, most likely caused by null alleles. Genetic differentiation (FST = 0.001-0.095; Nm = 4.7-363.8) indicates that gene flow is extensive among locations ≤ 152 km apart (with two exceptions) and reduced, but not absent, at a larger geographic scale. Genetic and geographic distances were significantly correlated (R2 = 0.893, P < 0.0002), supporting the isolation by distance (IBD) model. The overall estimate of Ne was 202.4 individuals under the linkage disequilibrium model, and ∞ under the heterozygote excess model. Analysis of molecular variance showed that nearly all variation (∼ 94%) was within sample locations. The UPGMA phenogram clustered the samples geographically, with one branch including 5/6 of the state of Amazonas localities and the other branch the Acre, Rondônia, and remaining Amazonas localities. Taken together, these data suggest little genetic structure for An. darlingi from central and western Amazonian Brazil. These findings also imply that the IBD model explains nearly all of the differentiation detected. In practical terms, populations of An. darlingi at distances ≤ 152 km should respond similarly to vector control measures, because of high gene flow.Volume 102, Número 3, Pags. 319-327Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessDnaMicrosatellite DnaAnimalsAnophelesBrasilClassificationDisease CarrierDisease TransmissionGenetic MarkerGenetic VariabilityGeneticsHumanMalariaGenetics, PopulationAnimalAnophelesBrasilDnaGenetic MarkersGenetics, PopulationHumansInsect VectorsMalariaMicrosatellite RepeatsVariation (genetics)Anopheles DarlingiCulicidaeDipteraPopulation genetic structure of the major malaria vector Anopheles darlingi (Diptera: Culicidae) from the Brazilian Amazon, using microsatellite markersinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleMemórias do Instituto Oswaldo Cruzengreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALartigo-inpa.pdfapplication/pdf162232https://repositorio.inpa.gov.br/bitstream/1/14524/1/artigo-inpa.pdf1c46cc382692666e216488baa58fc5f8MD51CC-LICENSElicense_rdfapplication/octet-stream914https://repositorio.inpa.gov.br/bitstream/1/14524/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD521/145242020-07-14 09:05:25.684oai:repositorio:1/14524Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-07-14T13:05:25Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false |
dc.title.en.fl_str_mv |
Population genetic structure of the major malaria vector Anopheles darlingi (Diptera: Culicidae) from the Brazilian Amazon, using microsatellite markers |
title |
Population genetic structure of the major malaria vector Anopheles darlingi (Diptera: Culicidae) from the Brazilian Amazon, using microsatellite markers |
spellingShingle |
Population genetic structure of the major malaria vector Anopheles darlingi (Diptera: Culicidae) from the Brazilian Amazon, using microsatellite markers Scarpassa, Vera Margarete Dna Microsatellite Dna Animals Anopheles Brasil Classification Disease Carrier Disease Transmission Genetic Marker Genetic Variability Genetics Human Malaria Genetics, Population Animal Anopheles Brasil Dna Genetic Markers Genetics, Population Humans Insect Vectors Malaria Microsatellite Repeats Variation (genetics) Anopheles Darlingi Culicidae Diptera |
title_short |
Population genetic structure of the major malaria vector Anopheles darlingi (Diptera: Culicidae) from the Brazilian Amazon, using microsatellite markers |
title_full |
Population genetic structure of the major malaria vector Anopheles darlingi (Diptera: Culicidae) from the Brazilian Amazon, using microsatellite markers |
title_fullStr |
Population genetic structure of the major malaria vector Anopheles darlingi (Diptera: Culicidae) from the Brazilian Amazon, using microsatellite markers |
title_full_unstemmed |
Population genetic structure of the major malaria vector Anopheles darlingi (Diptera: Culicidae) from the Brazilian Amazon, using microsatellite markers |
title_sort |
Population genetic structure of the major malaria vector Anopheles darlingi (Diptera: Culicidae) from the Brazilian Amazon, using microsatellite markers |
author |
Scarpassa, Vera Margarete |
author_facet |
Scarpassa, Vera Margarete Conn, Jan E. |
author_role |
author |
author2 |
Conn, Jan E. |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Scarpassa, Vera Margarete Conn, Jan E. |
dc.subject.eng.fl_str_mv |
Dna Microsatellite Dna Animals Anopheles Brasil Classification Disease Carrier Disease Transmission Genetic Marker Genetic Variability Genetics Human Malaria Genetics, Population Animal Anopheles Brasil Dna Genetic Markers Genetics, Population Humans Insect Vectors Malaria Microsatellite Repeats Variation (genetics) Anopheles Darlingi Culicidae Diptera |
topic |
Dna Microsatellite Dna Animals Anopheles Brasil Classification Disease Carrier Disease Transmission Genetic Marker Genetic Variability Genetics Human Malaria Genetics, Population Animal Anopheles Brasil Dna Genetic Markers Genetics, Population Humans Insect Vectors Malaria Microsatellite Repeats Variation (genetics) Anopheles Darlingi Culicidae Diptera |
description |
The population genetic structure of Anopheles darlingi, the major human malaria vector in the Neotropics, was examined using seven microsatellite loci from nine localities in central and western Amazonian Brazil. High levels of genetic variability were detected (5-25 alleles per locus; HE = 0.519-0.949). There was deviation from Hardy-Weinberg Equilibrium for 59.79% of the tests due to heterozygote deficits, while the analysis of linkage disequilibrium was significant for only two of 189 (1.05%) tests, most likely caused by null alleles. Genetic differentiation (FST = 0.001-0.095; Nm = 4.7-363.8) indicates that gene flow is extensive among locations ≤ 152 km apart (with two exceptions) and reduced, but not absent, at a larger geographic scale. Genetic and geographic distances were significantly correlated (R2 = 0.893, P < 0.0002), supporting the isolation by distance (IBD) model. The overall estimate of Ne was 202.4 individuals under the linkage disequilibrium model, and ∞ under the heterozygote excess model. Analysis of molecular variance showed that nearly all variation (∼ 94%) was within sample locations. The UPGMA phenogram clustered the samples geographically, with one branch including 5/6 of the state of Amazonas localities and the other branch the Acre, Rondônia, and remaining Amazonas localities. Taken together, these data suggest little genetic structure for An. darlingi from central and western Amazonian Brazil. These findings also imply that the IBD model explains nearly all of the differentiation detected. In practical terms, populations of An. darlingi at distances ≤ 152 km should respond similarly to vector control measures, because of high gene flow. |
publishDate |
2007 |
dc.date.issued.fl_str_mv |
2007 |
dc.date.accessioned.fl_str_mv |
2020-04-24T16:49:26Z |
dc.date.available.fl_str_mv |
2020-04-24T16:49:26Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://repositorio.inpa.gov.br/handle/1/14524 |
dc.identifier.doi.none.fl_str_mv |
10.1590/S0074-02762007005000045 |
url |
https://repositorio.inpa.gov.br/handle/1/14524 |
identifier_str_mv |
10.1590/S0074-02762007005000045 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Volume 102, Número 3, Pags. 319-327 |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Memórias do Instituto Oswaldo Cruz |
publisher.none.fl_str_mv |
Memórias do Instituto Oswaldo Cruz |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional do INPA instname:Instituto Nacional de Pesquisas da Amazônia (INPA) instacron:INPA |
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INPA |
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Repositório Institucional do INPA |
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