A paradoxical population structure of var DBLα types in Africa

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.

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Publication Details

Journal
PLoS Pathogens
Published
2025-02-04
DOI
https://doi.org/10.1371/journal.ppat.1012813
Citations
3
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
5.64

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article

A paradoxical population structure of var DBLα types in Africa

Yao-ban Chan, Heejung Shim, Mun Hua Tan, Kathryn E. Tiedje et al.
3 citations
PLoS Pathogens
Malaria Research and Control
5.64
article

A paradoxical population structure of var DBLα types in Africa

Yao-ban Chan, Heejung Shim, Mun Hua Tan, Kathryn E. Tiedje, Karen P. Day, Mercedes Pascual, Qi Zhang, Qian Feng
article en
3 citations

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.

PLoS PathogensVol. 21(2)
The University of Melbourne (AU), University of Chicago (US), Peter Doherty Institute (AU), Melbourne Genomics Health Alliance (AU), New York University (US)
National Science Foundation, University of Melbourne, National Institutes of Health, National Institute of Food and Agriculture, National Institute of Allergy and Infectious Diseases, Fogarty International Center, Division of Microbiology and Infectious Diseases, National Institute of Allergy and Infectious Diseases
Good health and well-being
Openalex Percentile: Top 5%
Malaria Research and Control
5.64
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