Evidence map›Paper›PMID 41526474›Full record

ArticleCommunications biology2026

Major features of parasite adaptation revealed by genomes of Plasmodium falciparum population samples archived for over 50 years.

Alfred Amambua-Ngwa, Mouhamadou Fadel Diop, Christopher J Drakeley, Umberto d'Alessandro, Dominic P Kwiatkowski, David J Conway

Abstract read
In one paragraph

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

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0citing papers in PubMed
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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

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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

6 authors.

Alfred Amambua-NgwaMRC Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, The Gambia. alfred.ngwa@lshtm.ac.uk.ORCID http://orcid.org/0000-0003-4478-3601
Mouhamadou Fadel DiopMRC Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, The Gambia.ORCID http://orcid.org/0000-0002-6569-6497
Christopher J DrakeleyDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0003-4863-075X
Umberto d'AlessandroMRC Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, The Gambia.
Dominic P KwiatkowskiWellcome Sanger Institute, Hinxton, UK.ORCID http://orcid.org/0000-0002-5023-0176
David J ConwayDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, UK. david.conway@lshtm.ac.uk.ORCID http://orcid.org/0000-0002-8711-3037

Funding

European and Developing Countries Clinical Trials Partnership (EDCTP) TMA2019SFP-2843-EGSATRCUK | Medical Research Council (MRC) MR/S009760/1Wellcome Trust
6 · The paper itself

Abstract

Understanding evolution of human pathogens requires looking beyond the effects of recent interventions. To study malaria parasites prior to widespread drug selection, Plasmodium falciparum genomes were sequenced from the oldest population-based set of archived research samples yet identified, placental blood collected in the Gambia between 1966 and 1971. High-quality data were obtained from 54 infected samples, showing that genomic complexity within infections was high, most infections were genetically unrelated, and no drug resistance alleles were detected. Strong signatures of positive selection are clearly seen at multiple loci throughout the genome, most of which encode surface proteins that bind erythrocytes and are targets of acquired antibody responses. Comparison of population samples obtained over a following period of almost 50 years revealed major directional allele frequency changes at several loci apart from drug resistance genes. Exceptional changes over this time are seen at gdv1 that regulates the rate of parasite sexual conversion required for transmission, and at the unlinked Pfsa1 and Pfsa3 loci previously associated with infection of individuals with sickle-cell trait. Other affected loci encode surface and transporter proteins warranting targeted functional analyses. This identification of key long-term adaptations is important for understanding and managing future evolution of malaria parasites.

Indexed as

Adaptation, PhysiologicalGenome, ProtozoanMalaria, FalciparumPlasmodium falciparumDrug ResistanceFemaleGambiaGene FrequencyHumansProtozoan ProteinsSelection, GeneticProtozoan Proteins

Identifiers

PMID41526474
PMCPMC12880971

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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.