Evidence map›Paper›PMID 41559777›Full record

ArticleMalaria journal2026

Assessing the population genetic structure and demographic history of Anopheles gambiae and Anopheles arabiensis at island and mainland sites in Uganda: implications for testing novel malaria vector control approaches.

Rita Mwima, Tin-Yu J Hui, Edward Lukyamuzi, Marilou Bodde, Alex Makunin, Krystal Birungi, Martin Lukindu, Ann Nanteza, Dennis Muhanguzi, Mara Lawniczak and 2 more

Abstract read
In one paragraph

Article in Malaria journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Rita MwimaDepartment of Entomology, Uganda Virus Research Institute (UVRI), Entebbe, Uganda.
Tin-Yu J HuiSilwood Park Campus, Department of Life Sciences, Imperial College London, Ascot, UK.
Edward LukyamuziDepartment of Entomology, Uganda Virus Research Institute (UVRI), Entebbe, Uganda.
Marilou BoddeTree of Life, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK.
Alex MakuninTree of Life, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK.
Krystal BirungiDepartment of Entomology, Uganda Virus Research Institute (UVRI), Entebbe, Uganda.
Martin LukinduDepartment of Entomology, Uganda Virus Research Institute (UVRI), Entebbe, Uganda.
Ann NantezaDepartment of Biotechnical and Diagnostic Sciences, College of Veterinary Medicine, Animal Resources and Biosecurity (COVAB), Makerere University, Kampala, Uganda.
Dennis MuhanguziDepartment of Biotechnical and Diagnostic Sciences, College of Veterinary Medicine, Animal Resources and Biosecurity (COVAB), Makerere University, Kampala, Uganda.
Mara LawniczakTree of Life, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK.
Austin BurtSilwood Park Campus, Department of Life Sciences, Imperial College London, Ascot, UK.
Jonathan K KayondoDepartment of Entomology, Uganda Virus Research Institute (UVRI), Entebbe, Uganda. jkayondo@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite substantial investments in malaria control, the disease remains a major burden in sub-Saharan Africa, particularly Uganda. Novel tools such as gene drive systems are being developed to suppress malaria vector populations, but their deployment requires detailed knowledge of mosquito population genetics.

methodsThe genetic structure, diversity, and demographic history of Anopheles gambiae and Anopheles arabiensis were assessed at six sites in Uganda: three islands in Lake Victoria and three mainland sites. A total of 2918 An, gambiae and 173 An. arabiensis were genotyped using targeted amplicon sequencing of 62 loci across coding and non-coding regions of the genome.

resultsPopulation structure analyses revealed clear separation between the two species but little differentiation within each species across sites. Pairwise F DISCUSSION: These findings demonstrate strong genetic differentiation between An. gambiae and An. arabiensis, and subtle but meaningful structure between island and mainland An. gambiae populations. The reduced diversity and small effective population sizes at island sites suggest stronger genetic drift and limited gene flow, in contrast to the highly connected mainland populations.

conclusionThis study highlights how geographic and ecological factors shape mosquito population structure and provides critical evidence for the design and monitoring of genetic-based vector control interventions, including the planning and evaluation of field trials.

Indexed as

AnophelesGenetics, PopulationGenetic VariationMosquito ControlMosquito VectorsAnimalsGenotypeIslandsMalariaUgandaField trial sitesGene drive systemsGene flowInsecticide resistance

Identifiers

PMID41559777
PMCPMC12903332

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LicenceCC BY
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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.