Evidence map›Paper›PMID 31506104›Full record

ArticleParasites & vectors2019

Semi-field and indoor setups to study malaria mosquito swarming behavior.

Abdoulaye Niang, Charles Nignan, B Serge Poda, Simon P Sawadogo, K Roch Dabiré, Olivier Gnankiné, Frédéric Tripet, Olivier Roux, Abdoulaye Diabaté

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.8field-weighted citation impact, top 7% of its field
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

16 citing papers in PubMed, 24 citations in OpenAlex.

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  13. Clock genes and environmental cues coordinateScience (New York, N.Y.) · 2021
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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 at 4 institutions in 3 countries.

Abdoulaye NiangInstitut de Recherche en Sciences de la Santé (IRSS), Bobo-Dioulasso, Burkina Faso.
Charles NignanInstitut de Recherche en Sciences de la Santé (IRSS), Bobo-Dioulasso, Burkina Faso.
B Serge PodaInstitut de Recherche en Sciences de la Santé (IRSS), Bobo-Dioulasso, Burkina Faso.
Simon P SawadogoInstitut de Recherche en Sciences de la Santé (IRSS), Bobo-Dioulasso, Burkina Faso.
K Roch DabiréInstitut de Recherche en Sciences de la Santé (IRSS), Bobo-Dioulasso, Burkina Faso.
Olivier GnankinéLaboratoire d'Entomologie Fondamentale et Appliquée, Unité de Formation et de Recherche en Sciences de la Vie et de la Terre (UFR-SVT), Université Ouaga I Pr. Joseph KI-ZERBO, Ouagadougou, Burkina Faso.
Frédéric TripetCentre for Applied Entomology and Parasitology, School of Life Sciences, Keele University, Staffordshire, UK.
Olivier RouxInstitut de Recherche en Sciences de la Santé (IRSS), Bobo-Dioulasso, Burkina Faso.ORCID http://orcid.org/0000-0001-5440-0219
Abdoulaye DiabatéInstitut de Recherche en Sciences de la Santé (IRSS), Bobo-Dioulasso, Burkina Faso. npiediab@gmail.com.
Institut de Recherche en Sciences de la Santé · BFCentre National de la Recherche Scientifique · FRUniversité Joseph Ki-Zerbo · BFKeele University · GB

Funding

ANR ANR-15-CE35-0001-01Department for International Development (GB) 97014
6 · The paper itself

Abstract

backgroundThe recent resurgence of interest in sterile insect techniques to control vector mosquitoes has renewed interest in novel methods for observing mating behavior. Malarial vectors of the Anopheles gambiae complex are known to mate in swarms at specific locations at dawn and dusk. Most knowledge of mosquito swarming behavior is derived from field observations and a few experimental studies designed to assess critical parameters that affect mosquito swarming. However, such studies are difficult to implement in the field because of uncontrollable environmental factors and mosquito conditions. Here, we present two experimental setups specifically designed to analyze mosquito swarming behavior and provide evidence that swarming behavior of mosquitoes can be generated and accurately assessed under both semi-field and laboratory conditions.

methodsThe Mosquito Ecology Research Facility setup is a semi-field enclosure made of 12 compartments (10.0 × 6.0 × 4.5 m L × W × H each) exposed to ambient meteorological and lighting conditions. The laboratory setup consists of a windowless room (5.1 × 4.7 × 3.0 m) in which both environmental and mosquito conditions can be controlled. In the two setups, 300 3-6-days-old An. coluzzii virgin males were released and some swarm characteristics were recorded such as the time at which the swarm started, the number of mosquitoes in the swarm and the height. Climatic conditions in the semi-field setup were also recorded.

resultsIn both setups, An. coluzzii males displayed stereotyped and consistent swarming behavior day after day; males gradually gather into a swarm over a ground marker at sunset, flying in loops in relation to specific visual features on the ground. Although semi-field climatic conditions were slightly different from outdoors conditions, they did not impede swarming behavior and swarm characteristics were similar to those observed in the field.

conclusionsSwarm characteristics and their consistency across days provide evidences that these facilities can be used confidently to study swarming behavior. These facilities come to complement existing semi-field setups and pave the way for new experimental studies which will enhance our understanding of mating behavior but also mosquito ecology and evolution, a prerequisite for application of genetic approaches to malaria control.

Indexed as

Sexual Behavior, AnimalAnimalsAnophelesEntomologyMosquito VectorsAnophelesBurkina FasoMating behaviorMosquito ecology research facilitySwarming room

Identifiers

PMID31506104
PMCPMC6737701
OpenAlexW2973029508

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.