Active Genetics & Molecular Biology Infection & Immunity

Incorporating complex genetic and antigenic variation into host-parasite association studies

In plain English

AI plain-English summary

Malaria parasites carry large, repetitive chunks of DNA that standard genetic scans routinely miss. Most studies of how human genetics and parasite genetics interact to determine disease severity have ignored these complex variants because they are difficult to sequence and analyse. A recent landmark study found a strong link between the sickle-cell trait and three specific parasite genes, but it deliberately excluded the messy, repetitive regions near the ends of parasite chromosomes. This PhD project will use long-read sequencing—which reads much longer stretches of DNA in one go—to capture those hidden regions from natural infections in The Gambia and Kenya. The team will then apply pangenomic methods to systematically catalogue this complex variation and test whether it influences how sick a person gets. If successful, the work will reveal whether these overlooked genetic elements play a role in malaria outcomes, potentially identifying new targets for drugs or vaccines. This is fundamental science: it aims to map the full genetic landscape of the parasite, not to produce an immediate clinical tool. Similar mapping efforts for other pathogens have later informed vaccine design and drug resistance surveillance.

View original technical description
Malaria is a mosquito-transmitted disease caused by parasites in the genus Plasmodium, the deadliest of which is P. falciparum. The interaction between host and parasite genotype in malaria has received much attention, with a recent study detecting a strong association between the sickle haemoglobin allele (HbS) and three loci in the parasite genome (Band et al., 2022). However, like many studies of P. falciparum, it was limited to small genetic variants and did not consider complex variation, such as that in sub-telomeric regions. In my PhD, I aim to address this gap by incorporating complex genetic and antigenic variation into studies of P. falciparum. This includes large- scale long-read sequencing of parasites from natural infections in The Gambia and Kenya. With this rich resource, I will apply pangenomic approaches to systematically characterise complex variation, and this variation will be included in a host-parasite association study. Ultimately, I hope this work will contribute to a deeper understanding of how complex genetic variation influences disease outcomes in malaria.

View the original record at the funder ↗

Researchers

Thomas Roberts (EPMC Awardee)

Related Research

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Original classification

PhD Studentship (Basic)

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