Evidence map›Paper›PMID 38582941›Full record

ArticleCommunications medicine2024

Genomics reveals heterogeneous Plasmodium falciparum transmission and selection signals in Zambia.

Abebe A Fola, Qixin He, Shaojun Xie, Jyothi Thimmapuram, Ketaki P Bhide, Jack Dorman, Ilinca I Ciubotariu, Mulenga C Mwenda, Brenda Mambwe, Conceptor Mulube and 5 more

Open access · goldAbstract read
In one paragraph

Article in Communications medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
7.6field-weighted citation impact, top 2% of its field
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

11 citing papers in PubMed, 14 citations in OpenAlex.

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  6. Genetic metrics decodeFrontiers in genetics · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 2 countries.

Abebe A Fola *Department of Biological Sciences, Purdue University, West Lafayette, IN, USA.
Qixin He *Department of Biological Sciences, Purdue University, West Lafayette, IN, USA.ORCID http://orcid.org/0000-0003-1696-8203
Shaojun XieBioinformatics Core, Purdue University, Purdue University, West Lafayette, IN, USA.
Jyothi ThimmapuramBioinformatics Core, Purdue University, Purdue University, West Lafayette, IN, USA.
Ketaki P BhideBioinformatics Core, Purdue University, Purdue University, West Lafayette, IN, USA.
Jack DormanDepartment of Biological Sciences, Purdue University, West Lafayette, IN, USA.
Ilinca I CiubotariuDepartment of Biological Sciences, Purdue University, West Lafayette, IN, USA.ORCID http://orcid.org/0000-0002-6549-0771
Mulenga C MwendaPATH-MACEPA, National Malaria Elimination Centre, Lusaka, Zambia.
Brenda MambwePATH-MACEPA, National Malaria Elimination Centre, Lusaka, Zambia.
Conceptor MulubePATH-MACEPA, National Malaria Elimination Centre, Lusaka, Zambia.
Moonga HawelaPATH-MACEPA, National Malaria Elimination Centre, Lusaka, Zambia.
Douglas E NorrisThe Johns Hopkins Malaria Research Institute, W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-4631-2777
William J MossThe Johns Hopkins Malaria Research Institute, W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-6579-3513
Daniel J BridgesPATH, Lusaka, Zambia.ORCID http://orcid.org/0000-0002-9424-713X
Giovanna CarpiDepartment of Biological Sciences, Purdue University, West Lafayette, IN, USA. gcarpi@purdue.edu.ORCID http://orcid.org/0000-0001-8137-6285
Purdue University West Lafayette · USNational HIV/AIDS/STI/TB Council · ZMJohns Hopkins University · US

Funding

TransmissionU19AI089680 · NIAID · JOHNS HOPKINS UNIVERSITY · PI WILLIAM J MOSS · 2010 to 2026
$25.6M
NIAID NIH HHS U19 AI089680
6 · The paper itself

Abstract

backgroundGenomic surveillance is crucial for monitoring malaria transmission and understanding parasite adaptation to interventions. Zambia lacks prior nationwide efforts in malaria genomic surveillance among African countries.

methodsWe conducted genomic surveillance of Plasmodium falciparum parasites from the 2018 Malaria Indicator Survey in Zambia, a nationally representative household survey of children under five years of age. We whole-genome sequenced and analyzed 241 P. falciparum genomes from regions with varying levels of malaria transmission across Zambia and estimated genetic metrics that are informative about transmission intensity, genetic relatedness between parasites, and selection.

resultsWe provide genomic evidence of widespread within-host polygenomic infections, regardless of epidemiological characteristics, underscoring the extensive and ongoing endemic malaria transmission in Zambia. Our analysis reveals country-level clustering of parasites from Zambia and neighboring regions, with distinct separation in West Africa. Within Zambia, identity by descent (IBD) relatedness analysis uncovers local spatial clustering and rare cases of long-distance sharing of closely related parasite pairs. Genomic regions with large shared IBD segments and strong positive selection signatures implicate genes involved in sulfadoxine-pyrimethamine and artemisinin combination therapies drug resistance, but no signature related to chloroquine resistance. Furthermore, differences in selection signatures, including drug resistance loci, are observed between eastern and western Zambian parasite populations, suggesting variable transmission intensity and ongoing drug pressure.

conclusionsOur findings enhance our understanding of nationwide P. falciparum transmission in Zambia, establishing a baseline for analyzing parasite genetic metrics as they vary over time and space. These insights highlight the urgency of strengthening malaria control programs and surveillance of antimalarial drug resistance.

Identifiers

PMID38582941
PMCPMC10998850
OpenAlexW4394009654

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.