Analysis of Plasmodium falciparum diversity in natural infections by deep sequencing - PubMed (original) (raw)
. 2012 Jul 19;487(7407):375-9.
doi: 10.1038/nature11174.
Olivo Miotto, Susana Campino, Sarah Auburn, Jacob Almagro-Garcia, Gareth Maslen, Jack O'Brien, Abdoulaye Djimde, Ogobara Doumbo, Issaka Zongo, Jean-Bosco Ouedraogo, Pascal Michon, Ivo Mueller, Peter Siba, Alexis Nzila, Steffen Borrmann, Steven M Kiara, Kevin Marsh, Hongying Jiang, Xin-Zhuan Su, Chanaki Amaratunga, Rick Fairhurst, Duong Socheat, Francois Nosten, Mallika Imwong, Nicholas J White, Mandy Sanders, Elisa Anastasi, Dan Alcock, Eleanor Drury, Samuel Oyola, Michael A Quail, Daniel J Turner, Valentin Ruano-Rubio, Dushyanth Jyothi, Lucas Amenga-Etego, Christina Hubbart, Anna Jeffreys, Kate Rowlands, Colin Sutherland, Cally Roper, Valentina Mangano, David Modiano, John C Tan, Michael T Ferdig, Alfred Amambua-Ngwa, David J Conway, Shannon Takala-Harrison, Christopher V Plowe, Julian C Rayner, Kirk A Rockett, Taane G Clark, Chris I Newbold, Matthew Berriman, Bronwyn MacInnis, Dominic P Kwiatkowski
Affiliations
- PMID: 22722859
- PMCID: PMC3738909
- DOI: 10.1038/nature11174
Analysis of Plasmodium falciparum diversity in natural infections by deep sequencing
Magnus Manske et al. Nature. 2012.
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.
Figures
Figure 1
(a) Minor allele frequency distribution of 86k SNPs set in samples from different continents (AFR, SEA and PNG). Vertical axis shows the number of SNPs in each category of allele frequency. Supplementary Figure S7 shows the data corrected for sample size (b) Considers SNPs that are private to either AFR, SEA or PNG, showing the ratio of nonsynonymous to synonymous substitutions (vertical axis) as a function of derived allele frequency (horizontal axis)
Figure 1
(a) Minor allele frequency distribution of 86k SNPs set in samples from different continents (AFR, SEA and PNG). Vertical axis shows the number of SNPs in each category of allele frequency. Supplementary Figure S7 shows the data corrected for sample size (b) Considers SNPs that are private to either AFR, SEA or PNG, showing the ratio of nonsynonymous to synonymous substitutions (vertical axis) as a function of derived allele frequency (horizontal axis)
Figure 2
Representations of a pairwise distance matrix between the 227 samples analyzed. (a) Principal components analysis (b) Unrooted neighbour-joining tree. Leaf branches are coloured according to the country of origin of the sample.
Figure 2
Representations of a pairwise distance matrix between the 227 samples analyzed. (a) Principal components analysis (b) Unrooted neighbour-joining tree. Leaf branches are coloured according to the country of origin of the sample.
Figure 3
(a) Relationship between heterozygosity in the local parasite population (HS, horizontal axis) and within-host heterozygosity (HW, vertical axis) for all samples in the WAF population. Each line represents a different sample, whose within-host heterozygosity values were averages across all SNPs, categorised according to their heterozygosity in the local parasite population. Separate plots for each population are shown in Supplementary Figure S17). (b) Boxplot showing the distribution of FWS estimates in samples from each of the four populations.
Figure 3
(a) Relationship between heterozygosity in the local parasite population (HS, horizontal axis) and within-host heterozygosity (HW, vertical axis) for all samples in the WAF population. Each line represents a different sample, whose within-host heterozygosity values were averages across all SNPs, categorised according to their heterozygosity in the local parasite population. Separate plots for each population are shown in Supplementary Figure S17). (b) Boxplot showing the distribution of FWS estimates in samples from each of the four populations.
Comment in
- Unveiling the genomic landscape of malaria in natural infections.
Auburn S. Auburn S. Nat Rev Microbiol. 2023 Oct;21(10):633. doi: 10.1038/s41579-023-00935-w. Nat Rev Microbiol. 2023. PMID: 37700050 No abstract available.
References
- Wootton JC, et al. Genetic diversity and chloroquine selective sweeps in Plasmodium falciparum. Nature. 2002;418:320–323. -PubMed
- Mu J, et al. Genome-wide variation and identification of vaccine targets in the Plasmodium falciparum genome. Nat Genet. 2007;39:126–130. -PubMed
- Volkman SK, et al. A genome-wide map of diversity in Plasmodium falciparum. Nat Genet. 2007;39:113–119. -PubMed
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