Person: Sabeti, Pardis
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Publication A General SNP-Based Molecular Barcode for Plasmodium Falciparum Identification and Tracking
(BioMed Central, 2008) Mahesh, Nira; Rosen, David; Daniels, Rachel; Volkman, Sarah K.; Milner, Danny; Neafsey, Daniel; Park, Daniel John; Angelino, Elaine; Sabeti, Pardis; Wirth, Dyann; Wiegand, RogerBackground: Single nucleotide polymorphism (SNP) genotyping provides the means to develop a practical, rapid, inexpensive assay that will uniquely identify any Plasmodium falciparum parasite using a small amount of DNA. Such an assay could be used to distinguish recrudescence from re-infection in drug trials, to monitor the frequency and distribution of specific parasites in a patient population undergoing drug treatment or vaccine challenge, or for tracking samples and determining purity of isolates in the laboratory during culture adaptation and sub-cloning, as well as routine passage. Methods: A panel of twenty-four SNP markers has been identified that exhibit a high minor allele frequency (average MAF > 35%), for which robust TaqMan genotyping assays were constructed. All SNPs were identified through whole genome sequencing and MAF was estimated through Affymetrix array-based genotyping of a worldwide collection of parasites. These assays create a "molecular barcode" to uniquely identify a parasite genome.Results Using 24 such markers no two parasites known to be of independent origin have yet been found to have the same allele signature. The TaqMan genotyping assays can be performed on a variety of samples including cultured parasites, frozen whole blood, or whole blood spotted onto filter paper with a success rate > 99%. Less than 5 ng of parasite DNA is needed to complete a panel of 24 markers. The ability of this SNP panel to detect and identify parasites was compared to the standard molecular methods, MSP-1 and MSP-2 typing. Conclusion: This work provides a facile field-deployable genotyping tool that can be used without special skills with standard lab equipment, and at reasonable cost that will unambiguously identify and track P. falciparum parasites both from patient samples and in the laboratory.
Publication Genome-Wide SNP Genotyping Highlights the Role of Natural Selection in Plasmodium Falciparum Population Divergence
(BioMed Central, 2008) Wirth, Dyann; Sabeti, Pardis; Lander, Eric; Birren, Bruce W.; Hartl, Daniel; Wiegand, Roger; Chitnis, Chetan E.; Dash, Aditya P.; do Lago Moraes, Sandra; Ferreira, Marcelo U.; Mboup, Soulyemane; Ndir, Omar; Ndiaye, Daouda; Ousmane, Sarr; Stange-Thomann, Nicole; Gates, Casey; Tyndall, Erin; Cortese, Joseph F.; Houde, Nathan; Daniels, Rachel; Rosen, David; Lukens, Amanda; Milner, Danny; Montgomery, Philip; Park, Daniel; Volkman, Sarah K.; Schaffner, Stephen F.; Neafsey, DanielBackground: The malaria parasite Plasmodium falciparum exhibits abundant genetic diversity, and this diversity is key to its success as a pathogen. Previous efforts to study genetic diversity in P. falciparum have begun to elucidate the demographic history of the species, as well as patterns of population structure and patterns of linkage disequilibrium within its genome. Such studies will be greatly enhanced by new genomic tools and recent large-scale efforts to map genomic variation. To that end, we have developed a high throughput single nucleotide polymorphism (SNP) genotyping platform for P. falciparum. Results: Using an Affymetrix 3,000 SNP assay array, we found roughly half the assays (1,638) yielded high quality, 100% accurate genotyping calls for both major and minor SNP alleles. Genotype data from 76 global isolates confirm significant genetic differentiation among continental populations and varying levels of SNP diversity and linkage disequilibrium according to geographic location and local epidemiological factors. We further discovered that nonsynonymous and silent (synonymous or noncoding) SNPs differ with respect to within-population diversity, inter-population differentiation, and the degree to which allele frequencies are correlated between populations. Conclusions: The distinct population profile of nonsynonymous variants indicates that natural selection has a significant influence on genomic diversity in P. falciparum, and that many of these changes may reflect functional variants deserving of follow-up study. Our analysis demonstrates the potential for new high-throughput genotyping technologies to enhance studies of population structure, natural selection, and ultimately enable genome-wide association studies in P. falciparum to find genes underlying key phenotypic traits.