Literature DB >> 18209934

Population structure of the malaria vector Anopheles darlingi in Rondônia, Brazilian Amazon, based on mitochondrial DNA.

Aline F Angêlla1, Luis H S Gil, Luis H P da Silva, Paulo E M Ribolla.   

Abstract

Anopheles darlingi is the most important Brazilian malaria vector, with a widespread distribution in the Amazon forest. Effective strategies for vector control could be better developed through knowledge of its genetic structure and gene flow among populations, to assess the vector diversity and competence in transmitting Plasmodium. The aim of this study was to assess the genetic diversity of An. darlingi collected at four locations in Porto Velho, by sequencing a fragment of the ND4 mitochondrial gene. From 218 individual mosquitoes, we obtained 20 different haplotypes with a diversity index of 0.756, equivalent to that found in other neotropical anophelines. The analysis did not demonstrate significant population structure. However, haplotype diversity within some populations seems to be over-represented, suggesting the presence of sub-populations, but the presence of highly represented haplotypes complicates this analysis. There was no clear correlation among genetic and geographical distance and there were differences in relation to seasonality, which is important for malarial epidemiology.

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Year:  2007        PMID: 18209934     DOI: 10.1590/s0074-02762007000800010

Source DB:  PubMed          Journal:  Mem Inst Oswaldo Cruz        ISSN: 0074-0276            Impact factor:   2.743


  7 in total

1.  Mitochondrial DNA sequence-based phylogenetic relationship among flesh flies of the genus Sarcophaga (Sarcophagidae: Diptera).

Authors:  Neelam Bajpai; Raghav Ram Tewari
Journal:  J Genet       Date:  2010-04       Impact factor: 1.166

2.  Microgeographic genetic variation of the malaria vector Anopheles darlingi root (Diptera: Culicidae) from Cordoba and Antioquia, Colombia.

Authors:  Lina A Gutiérrez; Giovan F Gómez; John J González; Martha I Castro; Shirley Luckhart; Jan E Conn; Margarita M Correa
Journal:  Am J Trop Med Hyg       Date:  2010-07       Impact factor: 2.345

3.  Genetic structure of Lutzomyia longipalpis populations in Mato Grosso Do Sul, Brazil, based on microsatellite markers.

Authors:  Mirella F C Santos; Paulo E M Ribolla; Diego P Alonso; José D Andrade-Filho; Aline E Casaril; Alda M T Ferreira; Carlos E S Fernandes; Reginaldo P Brazil; Alessandra G Oliveira
Journal:  PLoS One       Date:  2013-09-16       Impact factor: 3.240

4.  Population dynamics, structure and behavior of Anopheles darlingi in a rural settlement in the Amazon rainforest of Acre, Brazil.

Authors:  Paulo Rufalco Moutinho; Luis Herman Soares Gil; Rafael Bastos Cruz; Paulo Eduardo Martins Ribolla
Journal:  Malar J       Date:  2011-06-24       Impact factor: 2.979

5.  Microgeographical structure in the major Neotropical malaria vector Anopheles darlingi using microsatellites and SNP markers.

Authors:  Melina Campos; Jan E Conn; Diego Peres Alonso; Joseph M Vinetz; Kevin J Emerson; Paulo Eduardo Martins Ribolla
Journal:  Parasit Vectors       Date:  2017-02-13       Impact factor: 3.876

Review 6.  Successes and failures of sixty years of vector control in French Guiana: what is the next step?

Authors:  Yanouk Epelboin; Sarah C Chaney; Amandine Guidez; Nausicaa Habchi-Hanriot; Stanislas Talaga; Lanjiao Wang; Isabelle Dusfour
Journal:  Mem Inst Oswaldo Cruz       Date:  2018-03-12       Impact factor: 2.743

7.  Seasonal genetic partitioning in the neotropical malaria vector, Anopheles darlingi.

Authors:  Aline F Angêlla; Patrícia Salgueiro; Luiz H S Gil; José L Vicente; João Pinto; Paulo E M Ribolla
Journal:  Malar J       Date:  2014-05-29       Impact factor: 2.979

  7 in total

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