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Sissoko, S.

Publications and source records attributed to Sissoko, S..

2 recordsLinked to original sources

High quality chromosomal genome assemblies of three human Plasmodium species directly from natural infections

Malaria, caused by mosquito-transmitted Plasmodium parasites, remains a major global health challenge. While P. falciparum accounts for most malaria deaths, the lesser-studied P. ovale spp. and P. malariae also contribute to disease burden across many endemic regions, typically causing milder but chronic infections. Here, we generated high-quality, chromosome-level reference genomes for P. ovale wallikeri, P. malariae, and P. falciparum directly from blood samples taken from natural infections. Using PacBio Ultra-Low-Input HiFi long-read sequencing and Hi-C chromatin conformation capture, we overcome limitations posed by low parasite biomass and the absence of in vitro culture for P. ovale wallikeri and P. malariae. These high quality reference genomes resolve previously inaccessible subtelomeric regions that include expanded gene families likely involved in host-parasite interactions, and they enhance our understanding of parasite persistence, transmission, immune evasion and comparative evolutionary studies. This work provides a critical foundation for including these neglected species in global malaria elimination efforts.

genomics↗

New insights into malaria susceptibility from the genomes of 17,000 individuals from Africa, Asia, and Oceania

We conducted a genome-wide association study of host resistance to severe Plasmodium falciparum malaria in over 17,000 individuals from 11 malaria-endemic countries, undertaking a wide ranging analysis which identifies five replicable associations with genome-wide levels of evidence. Our findings include a newly implicated variant on chromosome 6 associated with risk of cerebral malaria, and the discovery of an erythroid-specific transcription start site underlying the association in ATP2B4. Previously reported HLA associations cannot be replicated in this dataset. We estimate substantial heritability of severe malaria (h2 ~ 23%), of which around 10% is explained by the currently identified associations. Our dataset will provide a major building block for future research on the genetic determinants of disease in these diverse human populations.

genetics↗