Evidence map›Paper›PMID 40164958›Full record

ArticleMolecular biology and evolution2025

Temporal Patterns of Haplotypic and Allelic Diversity Reflect the Changing Selection Landscape of the Malaria Parasite Plasmodium falciparum.

Angela M Early, Stéphane Pelleau, Lise Musset, Daniel E Neafsey

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Article in Molecular biology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Angela M EarlyInfectious Disease and Microbiome Program, Broad Institute, Cambridge, MA 02142, USA.ORCID 0000-0002-3169-2324
Stéphane PelleauInfectious Diseases Epidemiology and Analytics Unit, Department of Global Health, lnstitut Pasteur, Université Paris Cité, Paris 75015, France.ORCID 0000-0002-7070-2177
Lise MussetCentre National de Référence du Paludisme, World Health Organization Collaborating Center for Surveillance of Antimalarial Drug Resistance, lnstitut Pasteur de la Guyane, Cayenne 97300, French Guiana.ORCID 0000-0003-0215-4110
Daniel E NeafseyInfectious Disease and Microbiome Program, Broad Institute, Cambridge, MA 02142, USA.ORCID 0000-0002-1665-9323

Funding

Viral Genomics: evolution, spread, and host interactionsU19AI110818 · NIAID · BROAD INSTITUTE, INC. · PI EARL, ASHLEE MIRIAM · 2014 to 2024
$66.5M
HHS U19Al110818National Institute of Allergy and Infectious DiseasesNIAID NIH HHS U19 AI110818NIH
6 · The paper itself

Abstract

The malaria parasite Plasmodium falciparum regularly confronts orchestrated changes in frontline drug treatment that drastically alter its selection landscape. When this has occurred, the parasite has successfully adapted to new drugs through novel resistance mutations. These novel mutations, however, emerge in a genetic background already shaped by prior drug selection. In some instances, selection imposed by different drugs targets the same loci in either synergistic or antagonistic ways, which may leave genomic signatures that are hard to attribute to a specific agent. Here, we use two approaches for detecting sequential bouts of drug adaptation: haplotype-based selection testing and temporal changes in allele frequencies. Using a set of longitudinal samples from French Guiana, we determine that since the official introduction of artemisinin combination therapy in 2007 there have been rapid hard selective sweeps at both known and novel loci. At four high-profile genes with demonstrated involvement in drug resistance (pfcrt, pfmdr1, pfaat1, and pfgch1), we see selection signals both before and after drug regime change; however, selection favored different haplotypes in the two time periods. Similarly, allele frequency analysis identified coding variants whose frequency trajectory changed signs under the new drug pressure. These selected alleles were enriched for genes implicated in artemisinin or partner-drug resistance in other global populations. Overall, these results suggest that drug resistance in P. falciparum is governed by known alleles of large effect along with a polygenic architecture of potentially more subtle variants, any of which can experience fitness reversals under distinct drug regimes.

Indexed as

Plasmodium falciparumSelection, GeneticAllelesAntimalarialsArtemisininsDrug ResistanceFrench GuianaGene FrequencyGenetic VariationHaplotypesHumansMalaria, FalciparumProtozoan ProteinsAntimalarialsartemisininArtemisininsProtozoan Proteinsdrug resistancegenomicspathogenspopulation geneticsselection

Identifiers

PMID40164958
PMCPMC12004115

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