Evidence map›Paper›PMID 42455873›Full record

ArticlePLoS neglected tropical diseases2026

Identification of two genomic cryptotypes of Plasmodium malariae in Africa.

Margaux J M Lefebvre, Céline Arnathau, Sandrine Houzé, Benoit de Thoisy, Camila González, Silvia Rondón, Andrés Link, Arnab Pain, Michael C Fontaine, Franck Prugnolle and 1 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 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

11 authors.

Margaux J M LefebvreMiVEGEC, Univ. Montpellier, CNRS, IRD, Montpellier, France.ORCID https://orcid.org/0000-0002-9339-8657
Céline ArnathauMiVEGEC, Univ. Montpellier, CNRS, IRD, Montpellier, France.
Sandrine HouzéUniversité de Paris, MERIT, IRD, Paris, France, AP-HP, Centre National de Référence sur le paludisme, Hôpital Bichat-Claude-Bernard, Paris, France.
Benoit de ThoisyInstitut Pasteur de la Guyane, Laboratoire des Intéractions Virus Hôtes, Cayenne, Guyane, France.
Camila GonzálezCentro de Investigaciones en Microbiología y Parasitología Tropical (CIMPAT), Universidad de los Andes, Bogotá D. C., Colombia.
Silvia RondónCentro de Investigaciones en Microbiología y Parasitología Tropical (CIMPAT), Universidad de los Andes, Bogotá D. C., Colombia.
Andrés LinkLaboratorio de Ecología de Bosques Tropicales y Primatología (LEBTYP), Universidad de los Andes, Bogotá D. C., Colombia.
Arnab PainPathogen Genomics Laboratory, Biological and Environmental Sciences and Engineering, King Abdullah University of Science and Technology, Jeddah Makkah, Saudi Arabia.
Michael C FontaineMiVEGEC, Univ. Montpellier, CNRS, IRD, Montpellier, France.
Franck PrugnolleREHABS, International Research Laboratory, CNRS-NMU, George Campus, Nelson Mandela University, George, South Africa.
Virginie RougeronREHABS, International Research Laboratory, CNRS-NMU, George Campus, Nelson Mandela University, George, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plasmodium malariae is a neglected human malaria parasite that causes persistent, often asymptomatic infections and remains difficult to diagnose. Despite being generally associated with lower prevalence and severity than other malaria parasites, P. malariae represents a significant public health concern, particularly in Africa, but also as a zoonosis in South America with monkey-adapted Plasmodium brasilianum. Plasmodium malariae and P. brasilianum population genetic structure, evolutionary history, and adaptive potential remain poorly understood, largely due to the historical scarcity of whole-genome data. By screening 226 monkey samples from two Latin American countries, we identified 20 Plasmodium-positives across multiple primate species, highlighting the persistence of this parasite in sylvatic transmission cycles. We also investigated the evolutionary history and genetic diversity of P. malariae using whole-genome sequencing data. By combining 79 newly sequenced genomes with 248 publicly available genomes, we analyzed a filtered dataset comprising 179 P. malariae, two P. brasilianum, and two P. malariae-like genomes. Population structure analyses revealed the presence of two genetically distinct but recombining clusters across African P. malariae populations. These clusters occur across multiple African countries at varying frequencies, without clear geographic segregation. Genome-wide scans of genetic differentiation and selection further identified numerous cluster-specific signatures of adaptation, including loci putatively involved in interactions with human hosts and mosquito vectors. Our results provide the first evidence for fine-scale population substructure within African P. malariae and reveal ongoing adaptive processes that may contribute to its persistence and transmission. By uncovering previously unrecognized genetic diversity and selection patterns, this study highlights the importance of population genomic approaches for understanding the evolutionary dynamics of this neglected malaria parasite.

Indexed as

Genome, ProtozoanMalariaMonkey DiseasesPlasmodium malariaeAfricaAnimalsEvolution, MolecularGenetic VariationGenotypeHumansPhylogenyWhole Genome Sequencing

Identifiers

PMID42455873
PMCPMC13387610

What Socratic holds

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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 Socratic graph.