Published February 4, 2025 | Version v1
Journal article Open

A paradoxical population structure of var DBLα types in Africa

  • 1. University of Melbourne
  • 2. University of Chicago
  • 3. New York University

Description

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.

Data availability

Data tables of calculated frequencies from this study are available online at https://github.com/mh-tan/Paradoxical_DBLa_popstructure. The cUps algorithm is available at https://github.com/qianfeng2/cUps. Publicly available datasets were analysed in this study. Targeted amplicon sequencing datasets from GenBank (Bongo - BioProject accession PRJNA396962, Uganda - BioProject accession PRJNA385208, Gabon - accessions KY328840–KY341897). Assembled var gene data from https://ftp.sanger.ac.uk/pub/project/pathogens/Plasmodium/falciparum/PF3K/varDB/.

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Additional details

Identifiers

DOI
10.1371/journal.ppat.1012813
Other
oai:uchicago.tind.io:14512

Funding

NIH-NSF-NIFA Ecology and Evolution of Infectious Diseases
R01-TW009670
National Institute of Allergy and Infectious Diseases
R01-AI149779

UChicago Information

Division(s)
Biological Sciences Division
Department(s)
Genetics, Genomics, and Systems Biology