Evidence map›Paper›PMID 39903780›Full record

ArticlePLoS pathogens2025

A paradoxical population structure of var DBLα types in Africa.

Mun Hua Tan, Kathryn E Tiedje, Qian Feng, Qi Zhan, Mercedes Pascual, Heejung Shim, Yao-Ban Chan, Karen P Day

Abstract read
In one paragraph

Article in PLoS pathogens, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Mun Hua TanDepartment of Microbiology and Immunology, Bio21 Institute and The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, Australia.ORCID 0000-0003-3396-8213
Kathryn E TiedjeDepartment of Microbiology and Immunology, Bio21 Institute and The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, Australia.ORCID 0000-0003-3305-0533
Qian FengSchool of Mathematics and Statistics / Melbourne Integrative Genomics, The University of Melbourne, Melbourne, Australia.
Qi ZhanCommittee on Genetics, Genomics and Systems Biology, The University of Chicago, Chicago, Illinois, United States of America.
Mercedes PascualDepartment of Biology, New York University, New York, New York, United States of America.
Heejung ShimSchool of Mathematics and Statistics / Melbourne Integrative Genomics, The University of Melbourne, Melbourne, Australia.
Yao-Ban ChanSchool of Mathematics and Statistics / Melbourne Integrative Genomics, The University of Melbourne, Melbourne, Australia.
Karen P DayDepartment of Microbiology and Immunology, Bio21 Institute and The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, Australia.ORCID 0000-0002-6115-6135

Funding

Temporal strain structure and response to interventions in a high endemicity region of Plasmodium falciparum R01AI149779 · NIAID · UNIVERSITY OF CHICAGO · PI DAY, KAREN PATRICIA, KORAM, KWADWO ANSAH · 2019 to 2023
$3.0M
The impact of seasonality and vector control on the population structure of Plasmodium falciparumR01TW009670 · FIC · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAY, KAREN PATRICIA, KORAM, KWADWO ANSAH · 2013 to 2016
$1.8M
FIC NIH HHS R01 TW009670NIAID NIH HHS R01 AI149779
6 · The paper itself

Abstract

The var multigene family encodes Plasmodium falciparum erythrocyte membrane protein 1 (PfEMP1), central to host-parasite interactions. Genome structure studies have identified three major groups of var genes by specific upstream sequences (upsA, B, or C). Var with these ups groups have different chromosomal locations, transcriptional directions, and associations with disease severity. Here we explore temporal and spatial diversity of a region of var genes encoding the DBLα domain of PfEMP1 in Africa. By applying a novel ups classification algorithm (cUps) to publicly-available DBLα sequence datasets, we categorised DBLα according to association with the three ups groups, thereby avoiding the need to sequence complete genes. Data from deep sequencing of DBLα types in a local population in northern Ghana surveyed seven times from 2012 to 2017 found variants with rare-to-moderate-to-extreme frequencies, and the common variants were temporally stable in this local endemic area. Furthermore, we observed that every isolate repertoire, whether mono- or multiclonal, comprised DBLα types occurring with these frequency ranges implying a common genome structure. When comparing African countries of Ghana, Gabon, Malawi, and Uganda, we report that some DBLα types were consistently found at high frequencies in multiple African countries while others were common only at the country level. The implication of these local and pan-Africa population patterns is discussed in terms of advantage to the parasite with regards to within-host adaptation and resilience to malaria control.

Indexed as

Malaria, FalciparumPlasmodium falciparumProtozoan ProteinsAfricaGenetic VariationGhanaHumanserythrocyte membrane protein 1, Plasmodium falciparumProtozoan Proteins

Identifiers

PMID39903780
PMCPMC11793742

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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.