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Genome-wide SNP genotyping highlights the role of natural selection in Plasmodium falciparum population divergence

Daniel E Neafsey* 1 email, Stephen F Schaffner* 1 email, Sarah K Volkman2,3 email, Daniel Park1 email, Philip Montgomery1 email, Danny A Milner Jr2 email, Amanda Lukens2 email, David Rosen2 email, Rachel Daniels1 email, Nathan Houde1 email, Joseph F Cortese1 email, Erin Tyndall1 email, Casey Gates1 email, Nicole Stange-Thomann1 email, Ousmane Sarr4 email, Daouda Ndiaye4 email, Omar Ndir4 email, Soulyemane Mboup4 email, Marcelo U Ferreira5 email, Sandra do Lago Moraes6 email, Aditya P Dash7 email, Chetan E Chitnis8 email, Roger C Wiegand1 email, Daniel L Hartl9 email, Bruce W Birren1 email, Eric S Lander1 email, Pardis C Sabeti1 email and Dyann F Wirth2 email

1Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA

2Department of Immunology and Infectious Diseases, Harvard School of Public Health, 677 Huntington Ave, Boston, MA 02115, USA

3School for Health Studies, Simmons College, 300 The Fenway, Boston, MA 02115, USA

4Faculty of Medicine and Pharmacy, Cheikh Anta Diop University, BP 7325 Dakar, Senegal

5Departamento de Parasitologia, Instituto de Ciencias Biomedicas da USP, Av. Prof. Lineu Prestes 1374, Cidade Universitaria, 05508-900 Sao Paulo, SP, Brazil

6Instituto de Medicina Tropical de Sao Paulo, Universidade de Sao Paulo, Av Dr. Eneas de Carvalho Aguiar 470, 05403-907 Sao Paulo, SP, Brazil

7National Institute of Malaria Research, 22, Sham Nath Marg, Delhi-110054, India

8International Centre for Genetic Engineering and Biotechnology, Aruna Asaf Ali Marg, New Delhi-110067, India

9Department of Organismic and Evolutionary Biology, Harvard University, 16 Divinity Avenue, Cambridge, MA 02138, USA

author email corresponding author email* Contributed equally

Genome Biology 2008, 9:R171doi:10.1186/gb-2008-9-12-r171

Published: 15 December 2008

Subject areas: Genetics, Genome studies, Microbiology and parasitology

Abstract

Background

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.


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