Olivo Miotto et al
2024
⬠ļøBack to Featured Publications
Access to paper:
Background
The population structure of the malaria parasiteĀ Plasmodium falciparumĀ can reveal underlying adaptive evolutionary processes. Selective pressures to maintain complex genetic backgrounds can encourage inbreeding, producing distinct parasite clusters identifiable by population structure analyses.
Methods
We analysed population structure in 3783Ā PĀ falciparumĀ genomes from 21Ā countries across Africa, provided by the MalariaGEN Pf7 dataset. We used Principal Coordinate Analysis to cluster parasites, identity by descent (IBD) methods to identify genomic regions shared by cluster members, and linkage analyses to establish their co-inheritance patterns. Structural variants were reconstructed by de novo assembly and verified by long-read sequencing.
Findings
We identified a strongly differentiated cluster of parasites, named AF1, comprising 47 (1Ā·2%) of 3783Ā samples analysed, distributed over 13Ā countries across Africa, at locations over 7000Ā km apart. Members of this cluster share a complex genetic background, consisting of up to 23Ā loci harbouring many highly differentiated variants, rarely observed outside the cluster. IBD analyses revealed common ancestry at these loci, irrespective of sampling location. Outside the shared loci, however, AF1 members appear to outbreed with sympatric parasites. The AF1 differentiated variants comprise structural variations, including a gene conversion involving theĀ dblmspĀ andĀ dblmsp2Ā genes, and numerous single nucleotide polymorphisms. Several of the genes harbouring these mutations are functionally related, often involved in interactions with red blood cells including invasion, egress, and erythrocyte antigen export.
Interpretation
We propose that AF1 parasites have adapted to some unidentified evolutionary niche, probably involving interactions with host erythrocytes. This adaptation involves a complex compendium of interacting variants that are rarely observed in Africa, which remains mostly intact despite recombination events. The term cryptotype was used to describe a common background interspersed with genomic regions of local origin.
Funding
Bill & Melinda Gates Foundation.
