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Population genetic structure of the major malaria vector Anopheles darlingi (Diptera: Culicidae) from the Brazilian Amazon, using microsatellite markers.

Population genetic structure of the major malaria vector Anopheles darlingi (Diptera: Culicidae) from the Brazilian Amazon, using microsatellite markers. Research Abstract Details 

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  • Population genetic structure of the major malaria vector Anopheles darlingi (Diptera: Culicidae) from the Brazilian Amazon, using microsatellite markers. Abstract Text:

    vera margarete scarpassaVera Margarete Scarpassa,jan e connJan E Conn,

    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; H E = 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 (F ST = 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 (R(2) = 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 8 under the heterozygote excess model. Analysis of molecular variance showed that nearly all variation (approximately 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.

    Population genetic structure of the major malaria vector Anopheles darlingi (Diptera: Culicidae) from the Brazilian Amazon, using microsatellite markers. Publishing Authors By Initials

    vm scarpassaVM Scarpassa,je connJE Conn,

    For similar genetic phenomena: variation (genetics) research abstracts see: genetic phenomena: variation (genetics) research

    PUBMED ID PMID:

    MEDLINE DATE:

    Population genetic structure of the major malaria vector Anopheles darlingi (Diptera: Culicidae) from the Brazilian Amazon, using microsatellite markers. Journal Published:

    PUBLICATION TYPE: Research Support, Non-U.S. Gov

    Journal: Memórias do Instituto Oswaldo Cruz

    VOLUME: 102

    Page Numbers: 319-27

    Journal Abbreviation: Mem. Inst. Oswaldo Cruz

    ISSN: 0074-0276

    DAY: 3

    MONTH: Jun

    YEAR: 2007

    Population genetic structure of the major malaria vector Anopheles darlingi (Diptera: Culicidae) from the Brazilian Amazon, using microsatellite markers. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 7502619

    Population genetic structure of the major malaria vector Anopheles darlingi (Diptera: Culicidae) from the Brazilian Amazon, using microsatellite markers. Keywords Mesh Terms:

    KEYWORDS: Variation (Genetics)

    MESH TERMS: genetics

    Chemical & Substance for Abstract: Population genetic structure of the major malaria vector Anopheles darlingi (Diptera: Culicidae) from the Brazilian Amazon, using microsatellite markers. Information

    Substance Name: DNA

    Registry Number: 9007-49-2

    Grant and Affiliation Information for Population genetic structure of the major malaria vector Anopheles darlingi (Diptera: Culicidae) from the Brazilian Amazon, using microsatellite markers.

    AFFILIATION: Coordenaçúo de Pesquisas em Entomologia, Instituto Nacional de Pesquisas da Amazônia, Manaus, AM, Brasil. vera@inpa.gov.br

    Country: Brazil

    Brazil Research PublicationBrazil Research Publication

    AGENCY: United States NIAID

    GRANT: AI R0154139

    ACRONYM: AI

    MEDLINETA: Mem Inst Oswaldo Cruz

    REFSOURCE:

    DATABASENAME:

    ACCESSION NUMBER:

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