Evidence map›Paper›PMID 40620209›Full record

ArticleGenetics2025

Genomic evidence of spatially structured gene flow and divergent insecticide resistance backgrounds of the malaria vector Anopheles funestus in Tanzania.

Joel O Odero, Ismail H Nambunga, Hamis Bwanary, Gustav Mkandawile, John M Paliga, Salum A Mapua, Sophia H Mwinyi, Halfan S Ngowo, Nicodem J Govella, Emmanuel W Kaindoa and 9 more

Abstract read
In one paragraph

Article in Genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

19 authors.

Joel O OderoEnvironmental Health and Ecological Sciences Department, Ifakara Health Institute, P. O. Box 53, Ifakara 67501, Tanzania.ORCID 0000-0002-8463-2122
Ismail H NambungaEnvironmental Health and Ecological Sciences Department, Ifakara Health Institute, P. O. Box 53, Ifakara 67501, Tanzania.
Hamis BwanaryEnvironmental Health and Ecological Sciences Department, Ifakara Health Institute, P. O. Box 53, Ifakara 67501, Tanzania.
Gustav MkandawileEnvironmental Health and Ecological Sciences Department, Ifakara Health Institute, P. O. Box 53, Ifakara 67501, Tanzania.
John M PaligaEnvironmental Health and Ecological Sciences Department, Ifakara Health Institute, P. O. Box 53, Ifakara 67501, Tanzania.
Salum A MapuaEnvironmental Health and Ecological Sciences Department, Ifakara Health Institute, P. O. Box 53, Ifakara 67501, Tanzania.
Sophia H MwinyiEnvironmental Health and Ecological Sciences Department, Ifakara Health Institute, P. O. Box 53, Ifakara 67501, Tanzania.
Halfan S NgowoEnvironmental Health and Ecological Sciences Department, Ifakara Health Institute, P. O. Box 53, Ifakara 67501, Tanzania.
Nicodem J GovellaEnvironmental Health and Ecological Sciences Department, Ifakara Health Institute, P. O. Box 53, Ifakara 67501, Tanzania.
Emmanuel W KaindoaEnvironmental Health and Ecological Sciences Department, Ifakara Health Institute, P. O. Box 53, Ifakara 67501, Tanzania.
Frédéric TripetCentre for Applied Entomology and Parasitology, School of Life Sciences, Keele University, Huxley Building, Keele, Staffordshire ST5 5BG, UK.
Anastasia Hernandez-KoutouchevaGenomic Surveillance Unit, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK.
Heather M FergusonSchool of Biodiversity, One Health, and Veterinary Medicine, University of Glasgow, Glasgow G12 8QQ, UK.
Chris S ClarksonGenomic Surveillance Unit, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK.ORCID 0000-0002-8757-1660
Alistair MilesGenomic Surveillance Unit, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK.ORCID 0000-0001-9018-4680
David WeetmanDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool L3 5QA, UK.ORCID 0000-0002-5820-1388
Francesco BaldiniEnvironmental Health and Ecological Sciences Department, Ifakara Health Institute, P. O. Box 53, Ifakara 67501, Tanzania.
Fredros O OkumuEnvironmental Health and Ecological Sciences Department, Ifakara Health Institute, P. O. Box 53, Ifakara 67501, Tanzania.
Tristan P W DennisDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool L3 5QA, UK.

Funding

Academy of Medical Sciences Springboard Award SBF007\100094Gates Foundation INV-001927Gates Foundation INV-002138Gates Foundation International Research Scholar Award OPP 1099295Howard Hughes Medical InstituteMalariaGEN Vector ObservatoryWellcome 220540/Z/20/AWellcome Sanger InstituteWellcome Trust
6 · The paper itself

Abstract

Population genetic analysis of mosquitoes is important for understanding the distribution of insecticide resistance alleles, devising sustainable control approaches, and understanding how vector populations are structured in space. Anopheles funestus is the dominant malaria vector in most parts of East and Southern Africa. To better understand its population genetic structure in Tanzania, we sequenced the genomes of 334 individual An. funestus mosquitoes from 11 regions across the country. Signs of reduced migration between western and eastern cohorts across the semi-arid central region containing the Rift Valley suggest a partial barrier to gene flow between these populations. This was evidenced by population structure between the eastern and western cohorts, as well as asynchronous selective sweeps and copy number variant profiles at the Cyp9k1 gene and Cyp6p gene cluster. Eastern cohorts, despite having less diversity and greater inbreeding, also share genetic histories characterized by low genome-wide Fst values with those in the west. This suggests that the barrier to gene flow is porous and likely represents continuous spatial structure rather than a complete barrier to migration. The observed population disconnectedness should be considered for insecticide deployment, resistance management, and the rollout of novel genetic-based vector control approaches. These findings provide the most detailed study of Tanzanian An. funestus population structure and resistance genetics to date. Future research should examine the epidemiological relevance of this partial discontinuity in gene flow and whether these populations have different malaria transmission abilities.

Indexed as

AnophelesGene FlowInsecticide ResistanceMosquito VectorsAnimalsGenome, InsectMalariaTanzaniaAnopheles funestsusCyp6p gene clusterCyp9k1gene flowinsecticide resistancemalariapopulation geneticsvector control

Identifiers

PMID40620209
PMCPMC12341887

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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.