Evidence map›Paper›PMID 36542676›Full record

ArticlePLoS pathogens2022

Resolving drug selection and migration in an inbred South American Plasmodium falciparum population with identity-by-descent analysis.

Manuela Carrasquilla, Angela M Early, Aimee R Taylor, Angélica Knudson Ospina, Diego F Echeverry, Timothy J C Anderson, Elvira Mancilla, Samanda Aponte, Pablo Cárdenas, Caroline O Buckee and 4 more

Abstract read
In one paragraph

Article in PLoS pathogens, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  15. Estimating realized relatedness in free-ranging macaques by inferring identity-by-descent segments.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. Review
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  19. Temporal and spatial dynamics ofbioRxiv : the preprint server for biology · 2024
    Article
  20. 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

14 authors.

Manuela CarrasquillaDepartment of Immunology and Infectious Diseases, Harvard T.H.Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID 0000-0002-7953-4376
Angela M EarlyDepartment of Immunology and Infectious Diseases, Harvard T.H.Chan School of Public Health, Boston, Massachusetts, United States of America.
Aimee R TaylorInfectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America.
Angélica Knudson OspinaDepartamento de Microbiología, Facultad de Medicina, Universidad Nacional de Colombia, Bogotá, Colombia.
Diego F EcheverryDepartamento de Microbiología, Facultad de Salud, Universidad del Valle, Cali, Colombia.
Timothy J C AndersonProgram in Disease Intervention and Prevention, Texas Biomedical Research Institution, San Antonio, Texas, United States of America.
Elvira MancillaSecretaría Departamental de Salud del Cauca, Popayán, Colombia.
Samanda AponteDepartamento de Salud Pública, Facultad de Medicina, Universidad Nacional de Colombia, Bogotá, Colombia.
Pablo CárdenasDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
Caroline O BuckeeCenter for Communicable Disease Dynamics, Harvard T.H.Chan School of Public Health, Boston, Massachusetts, United States of America.
Julian C RaynerWellcome Sanger Institute, Hinxton, Cambridge, United Kingdom.
Fabián E SáenzCentro de Investigación para la Salud en América Latina, Facultad de Ciencias Exactas y Naturales, Pontificia Universidad Católica del Ecuador, Quito, Ecuador.
Daniel E NeafseyDepartment of Immunology and Infectious Diseases, Harvard T.H.Chan School of Public Health, Boston, Massachusetts, United States of America.
Vladimir CorredorDepartamento de Salud Pública, Facultad de Medicina, Universidad Nacional de Colombia, Bogotá, Colombia.

Funding

Viral Genomics: evolution, spread, and host interactionsU19AI110818 · NIAID · BROAD INSTITUTE, INC. · PI SABETI, PARDIS CHRISTINE · 2014 to 2024
$66.5M
MAPPING DRUG RESISTANCE GENES IN PLASMODIUM FALCIPARUMR01AI048071 · NIAID · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI Tim J Anderson · 2000 to 2026
$8.4M
NIAID NIH HHS R01 AI048071NIAID NIH HHS U19 AI110818Wellcome Trust 090770Wellcome Trust 206194
6 · The paper itself

Abstract

The human malaria parasite Plasmodium falciparum is globally widespread, but its prevalence varies significantly between and even within countries. Most population genetic studies in P. falciparum focus on regions of high transmission where parasite populations are large and genetically diverse, such as sub-Saharan Africa. Understanding population dynamics in low transmission settings, however, is of particular importance as these are often where drug resistance first evolves. Here, we use the Pacific Coast of Colombia and Ecuador as a model for understanding the population structure and evolution of Plasmodium parasites in small populations harboring less genetic diversity. The combination of low transmission and a high proportion of monoclonal infections means there are few outcrossing events and clonal lineages persist for long periods of time. Yet despite this, the population is evolutionarily labile and has successfully adapted to changes in drug regime. Using newly sequenced whole genomes, we measure relatedness between 166 parasites, calculated as identity by descent (IBD), and find 17 distinct but highly related clonal lineages, six of which have persisted in the region for at least a decade. This inbred population structure is captured in more detail with IBD than with other common population structure analyses like PCA, ADMIXTURE, and distance-based trees. We additionally use patterns of intra-chromosomal IBD and an analysis of haplotypic variation to explore past selection events in the region. Two genes associated with chloroquine resistance, crt and aat1, show evidence of hard selective sweeps, while selection appears soft and/or incomplete at three other key resistance loci (dhps, mdr1, and dhfr). Overall, this work highlights the strength of IBD analyses for studying parasite population structure and resistance evolution in regions of low transmission, and emphasizes that drug resistance can evolve and spread in small populations, as will occur in any region nearing malaria elimination.

Indexed as

AntimalarialsMalaria, FalciparumParasitesAnimalsChloroquineDrug ResistanceHumansPlasmodium falciparumSouth AmericaAntimalarialsChloroquine

Identifiers

PMID36542676
PMCPMC9815574

What OpenQuestion 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 OpenQuestion graph.