Evidence map›Paper›PMID 31553370›Full record

ArticleMemorias do Instituto Oswaldo Cruz2019

Liaisons dangereuses: cross-border gene flow and dispersal of insecticide resistance-associated genes in the mosquito Aedes aegypti from Brazil and French Guiana.

Patrícia Salgueiro, Johana Restrepo-Zabaleta, Monique Costa, Allan Kardec Ribeiro Galardo, João Pinto, Pascal Gaborit, Amandine Guidez, Ademir Jesus Martins, Isabelle Dusfour

Abstract read
In one paragraph

Article in Memorias do Instituto Oswaldo Cruz, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
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  6. Article
  7. Two Haplotypes ofInsects · 2021
    Article
  8. Differential attraction in mosquito-human interactions and implications for disease control.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
  9. Article
  10. Vector Competence ofPathogens (Basel, Switzerland) · 2020
    Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Patrícia SalgueiroUniversidade Nova de Lisboa, Global Health and Tropical Medicine Centre, Instituto de Higiene e Medicina Tropical, Lisboa, Portugal.
Johana Restrepo-ZabaletaInstitut Pasteur de la Guyane, Vectopole Amazonien Emile Abonnenc, Vector Control and Adaptation Unit, Cayenne, France.
Monique CostaFundação Oswaldo Cruz-Fiocruz, Instituto Oswaldo Cruz, Laboratório de Fisiologia e Controle de Artrópodes Vetores, Rio de Janeiro, Brasil.
Allan Kardec Ribeiro GalardoInstituto de Pesquisas Científicas e Tecnológicas do Estado do Amapá, Amapá, Brasil.
João PintoUniversidade Nova de Lisboa, Global Health and Tropical Medicine Centre, Instituto de Higiene e Medicina Tropical, Lisboa, Portugal.
Pascal GaboritInstitut Pasteur de la Guyane, Vectopole Amazonien Emile Abonnenc, Vector Control and Adaptation Unit, Cayenne, France.
Amandine GuidezInstitut Pasteur de la Guyane, Vectopole Amazonien Emile Abonnenc, Vector Control and Adaptation Unit, Cayenne, France.
Ademir Jesus MartinsFundação Oswaldo Cruz-Fiocruz, Instituto Oswaldo Cruz, Laboratório de Fisiologia e Controle de Artrópodes Vetores, Rio de Janeiro, Brasil.
Isabelle DusfourInstitut Pasteur de la Guyane, Vectopole Amazonien Emile Abonnenc, Vector Control and Adaptation Unit, Cayenne, France.ORCID http://orcid.org/0000-0002-5265-8432

Funding

Genetic Studies of Dengue Vectors in BrazilU01AI115595 · NIAID · YALE UNIVERSITY · PI POWELL, JEFFREY R · 2015 to 2019
$3.6M
NIAID NIH HHS U01 AI115595
6 · The paper itself

Abstract

backgroundIn recent years, South America has suffered the burden of continuous high impact outbreaks of dengue, chikungunya and Zika. Aedes aegypti is the main mosquito vector of these arboviruses and its control is the only solution to reduce transmission.

objectivesIn order to improve vector control it is essential to study mosquito population genetics in order to better estimate the population structures and the geneflow among them.

methodsWe have analysed microsatellites and knockdown resistance (kdr) mutations from a trans-border region in Amazonia between the state of Amapá (Brazil) and French Guiana (overseas territory of France), to provide further knowledge on these issues. These two countries have followed distinct vector control policies since last century. For population genetic analyses we evaluated variability in 13 well-established microsatellites loci in Ae. aegypti from French Guiana (Saint Georges and Cayenne) and Brazil (Oiapoque and Macapá). The occurrence and frequency of kdr mutations in these same populations were accessed by TaqMan genotype assays for the sites 1016 (Val/Ile) and 1534 (Phe/Cys).

findingsWe have detected high levels of gene flow between the closest cross-border samples of Saint-Georges and Oiapoque. These results suggest one common origin of re-colonisation for the populations of French Guiana and Oiapoque in Brazil, and a different source for Macapá, more similar to the other northern Brazilian populations. Genotyping of the kdr mutations revealed distinct patterns for Cayenne and Macapá associated with their different insecticide use history, and an admixture zone between these two patterns in Saint Georges and Oiapoque, in accordance with population genetic results. MAIN

conclusionsThe present study highlights the need for regional-local vector surveillance and transnational collaboration between neighboring countries to assess the impact of implemented vector control strategies, promote timely actions and develop preparedness plans.

Indexed as

AedesAnimalsBiodiversityBrazilFrench GuianaGenotypeInsecticide ResistanceMosquito VectorsMutation

Identifiers

PMID31553370
PMCPMC6759281

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.