Evidence map›Paper›PMID 41530248›Full record

ArticleScientific reports2026

Ecological analysis of mosquito larval communities in Burkina Faso to inform environmental monitoring of genetic control programs.

Inoussa Toé, Mahamadi Kientega, Armel Judicael Lingani, Jeremy Bouyer, Nouhoun Traoré, Aboubacar Karabinta, Abdoul Azize Millogo, Jacques Kaboré, Abdoulaye Diabaté, Hamidou Maiga

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Inoussa ToéInstitut de Recherche en Sciences de la Santé, Bobo-Dioulasso, Burkina Faso. inoussatoe11@gmail.com.
Mahamadi KientegaInstitut de Recherche en Sciences de la Santé, Bobo-Dioulasso, Burkina Faso.
Armel Judicael LinganiInstitut de Recherche en Sciences de la Santé, Bobo-Dioulasso, Burkina Faso.
Jeremy BouyerASTRE, Cirad, INRAE, University of Montpellier, Plateforme Technologique CYROI, Sainte-31 Clotilde, La Réunion, France.
Nouhoun TraoréInstitut de Recherche en Sciences de la Santé, Bobo-Dioulasso, Burkina Faso.
Aboubacar KarabintaInstitut de Recherche en Sciences de la Santé, Bobo-Dioulasso, Burkina Faso.
Abdoul Azize MillogoInstitut de Recherche en Sciences de la Santé, Bobo-Dioulasso, Burkina Faso.
Jacques KaboréUniversité Nazi Boni, Bobo-Dioulasso, Burkina Faso.
Abdoulaye DiabatéInstitut de Recherche en Sciences de la Santé, Bobo-Dioulasso, Burkina Faso.
Hamidou MaigaInstitut de Recherche en Sciences de la Santé, Bobo-Dioulasso, Burkina Faso.

Funding

Wellcome TrustWellcome Trust Grant N°224487/Z/21/Z
6 · The paper itself

Abstract

In Burkina Faso, the development of the gene drive technology targeting Anopheles coluzzii raises important ecological questions about potential non-target effects. Understanding interactions in mosquitoes’ natural environments is crucial for developing effective post-release environmental safety monitoring. This study assesses the ecological exposure and potential risks to non-target organisms associated with An. coluzzii suppression. Using co-occurrence, niche overlap metrics, and characterisation of physicochemical parameters, we evaluated interspecific relationships among mosquitoes and macroinvertebrate taxa from larval habitats in Burkina Faso. Combined index revealed distinct ecological relationships, ranging from competitive or facilitative coexistence to spatial segregation driven by predation or behavioural avoidance. Based on these interactions, an exposure score was developed to quantify the potential susceptibility of non-target organisms to ecological changes following the removal of An. coluzzii. The results showed variable exposure among taxa, with An. gambiae s.s. having the highest score, followed by An. arabiensis and Culex spp. Predatory taxa such as Corixidae showed niche overlap but limited spatial co-occurrence, suggesting effective predation. The detection of hybrid forms (An. coluzzii x An. gambiae s.s.) further highlights the potential for gene flow. This study introduces a quantitative framework that combines ecological indices and exposure scores to predict potential risks to non-target organisms.

Indexed as

AnophelesEnvironmental MonitoringLarvaMosquito ControlAnimalsBurkina FasoCulexEcosystemGene Drive TechnologyAnopheles coluzziiEcological exposure scoreEnvironmental monitoringGene driveNon-target organism

Identifiers

PMID41530248
PMCPMC12877188

What Socratic 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 Socratic graph.