Analysis of Plasmodium falciparum diversity in natural infections by deep sequencing
- PMID: 22722859
- PMCID: PMC3738909
- DOI: 10.1038/nature11174
Analysis of Plasmodium falciparum diversity in natural infections by deep sequencing
Abstract
Malaria elimination strategies require surveillance of the parasite population for genetic changes that demand a public health response, such as new forms of drug resistance. Here we describe methods for the large-scale analysis of genetic variation in Plasmodium falciparum by deep sequencing of parasite DNA obtained from the blood of patients with malaria, either directly or after short-term culture. Analysis of 86,158 exonic single nucleotide polymorphisms that passed genotyping quality control in 227 samples from Africa, Asia and Oceania provides genome-wide estimates of allele frequency distribution, population structure and linkage disequilibrium. By comparing the genetic diversity of individual infections with that of the local parasite population, we derive a metric of within-host diversity that is related to the level of inbreeding in the population. An open-access web application has been established for the exploration of regional differences in allele frequency and of highly differentiated loci in the P. falciparum genome.
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Comment in
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Unveiling the genomic landscape of malaria in natural infections.Nat Rev Microbiol. 2023 Oct;21(10):633. doi: 10.1038/s41579-023-00935-w. Nat Rev Microbiol. 2023. PMID: 37700050 No abstract available.
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