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      Analysis of Plasmodium falciparum diversity in natural infections by deep sequencing

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      1 , 2 , 2 , 3 , 1 , 2 , 1 , 2 , 4 , 1 , 2 , 1 , 2 , 2 , 12 , 5 , 5 , 6 , 6 , 7 , 7 , 7 , 8 , 8 , 8 , 8 , 9 , 9 , 9 , 9 , 10 , 3 , 11 , 12 , 13 , 3 , 12 , 1 , 1 , 1 , 2 , 1 , 1 , 1 , 1 , 1 , 2 , 1 , 2 , 2 , 14 , 15 , 14 , 14 , 14 , 16 , 16 , 17 , 17 , 18 , 18 , 19 , 15 , 19 , 20 , 20 ,   1 , 1 , 2 , 13 , 1 , 2 , 15 , 1 , 2 , 21 , 1 , 1 , 2 , 1 , 2 , 13
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          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. 1, 2 Here we describe methods for 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 SNPs 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 exploration of regional differences in allele frequency and of highly differentiated loci in the P. falciparum genome.

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          Most cited references29

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          Microsatellite markers reveal a spectrum of population structures in the malaria parasite Plasmodium falciparum.

          Multilocus genotyping of microbial pathogens has revealed a range of population structures, with some bacteria showing extensive recombination and others showing almost complete clonality. The population structure of the protozoan parasite Plasmodium falciparum has been harder to evaluate, since most studies have used a limited number of antigen-encoding loci that are known to be under strong selection. We describe length variation at 12 microsatellite loci in 465 infections collected from 9 locations worldwide. These data reveal dramatic differences in parasite population structure in different locations. Strong linkage disequilibrium (LD) was observed in six of nine populations. Significant LD occurred in all locations with prevalence <1% and in only two of five of the populations from regions with higher transmission intensities. Where present, LD results largely from the presence of identical multilocus genotypes within populations, suggesting high levels of self-fertilization in populations with low levels of transmission. We also observed dramatic variation in diversity and geographical differentiation in different regions. Mean heterozygosities in South American countries (0.3-0.4) were less than half those observed in African locations (0. 76-0.8), with intermediate heterozygosities in the Southeast Asia/Pacific samples (0.51-0.65). Furthermore, variation was distributed among locations in South America (F:(ST) = 0.364) and within locations in Africa (F:(ST) = 0.007). The intraspecific patterns of diversity and genetic differentiation observed in P. falciparum are strikingly similar to those seen in interspecific comparisons of plants and animals with differing levels of outcrossing, suggesting that similar processes may be involved. The differences observed may also reflect the recent colonization of non-African populations from an African source, and the relative influences of epidemiology and population history are difficult to disentangle. These data reveal a range of population structures within a single pathogen species and suggest intimate links between patterns of epidemiology and genetic structure in this organism.
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            Genetic diversity and chloroquine selective sweeps in Plasmodium falciparum.

            Widespread use of antimalarial agents can profoundly influence the evolution of the human malaria parasite Plasmodium falciparum. Recent selective sweeps for drug-resistant genotypes may have restricted the genetic diversity of this parasite, resembling effects attributed in current debates to a historic population bottleneck. Chloroquine-resistant (CQR) parasites were initially reported about 45 years ago from two foci in southeast Asia and South America, but the number of CQR founder mutations and the impact of chlorquine on parasite genomes worldwide have been difficult to evaluate. Using 342 highly polymorphic microsatellite markers from a genetic map, here we show that the level of genetic diversity varies substantially among different regions of the parasite genome, revealing extensive linkage disequilibrium surrounding the key CQR gene pfcrt and at least four CQR founder events. This disequilibrium and its decay rate in the pfcrt-flanking region are consistent with strong directional selective sweeps occurring over only approximately 20-80 sexual generations, especially a single resistant pfcrt haplotype spreading to very high frequencies throughout most of Asia and Africa. The presence of linkage disequilibrium provides a basis for mapping genes under drug selection in P. falciparum.
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              Genetic analysis of the human malaria parasite Plasmodium falciparum.

              Malaria parasites are haploid for most of their life cycle, with zygote formation and meiosis occurring during the mosquito phase of development. The parasites can be analyzed genetically by transmitting mixtures of cloned parasites through mosquitoes to permit cross-fertilization of gametes to occur. A cross was made between two clones of Plasmodium falciparum differing in enzymes, drug sensitivity, antigens, and chromosome patterns. Parasites showing recombination between the parent clone markers were detected at a high frequency. Novel forms of certain chromosomes, detected by pulsed-field gradient gel electrophoresis, were produced readily, showing that extensive rearrangements occur in the parasite genome after cross-fertilization. Since patients are frequently infected with mixtures of genetically distinct parasites, mosquito transmission is likely to provide the principal mechanisms for generating parasites with novel genotypes.
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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                22 July 2013
                19 July 2012
                09 August 2013
                : 487
                : 7407
                : 375-379
                Affiliations
                [1 ]Wellcome Trust Sanger Institute, Hinxton, UK
                [2 ]MRC Centre for Genomics and Global Health, Oxford University and Wellcome Trust Sanger Institute
                [3 ]Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok 10400, Thailand
                [4 ]Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
                [5 ]Malaria Research and Training Centre, Faculty of Medicine, University of Bamako, Bamako, Mali
                [6 ]Institut de Recherche en Sciences de la Santé, Direction Régionale de l’Ouést, Bobo-Dioulasso, Burkina Faso
                [7 ]Papua New Guinea Institute of Medical Research, Madang, Papua New Guinea
                [8 ]KEMRI/ Wellcome Trust Research Program, Kilifi, Kenya
                [9 ]National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA
                [10 ]Cambodia National Malaria Centre, Phnom Penh,Cambodia
                [11 ]Shoklo Malaria Research Unit, Mae Sot, Tak, 63110, Thailand
                [12 ]Centre for Tropical Medicine, University of Oxford, Oxford, OX3 7LJ, UK
                [13 ]Department of Molecular Tropical Medicine and Genetics, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand
                [14 ]Wellcome Trust Centre for Human Genetics, University of Oxford, OX3 7BN, UK
                [15 ]Navrongo Health Centre, Navrongo, Ghana
                [16 ]London School of Hygiene & Tropical Medicine, London, UK
                [17 ]Department of Public Health Sciences, University of Rome La Sapienza, Rome, Italy
                [18 ]The Eck Institute for Global Health, Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
                [19 ]MRC Laboratories, Fajara, The Gambia
                [20 ]Centre for Vaccine Development, University of Maryland, Baltimore, MD, USA
                [21 ]Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
                Author notes
                Correspondence to DPK dominic@ 123456sanger.ac.uk
                [22]

                MM and OM made equal contributions

                [23]

                SC and SA made equal contributions

                AUTHOR CONTRIBUTIONS SC, SA, AD, OD, IZ, J-BO, PM, IM, PS, AN, SB, SMK, KM, HJ, X-ZS, CA, RF, DS, FN, MI, NJW, LA-E, CS, VM, DM, AA-N and DJC carried out field and laboratory studies to obtain P. falciparum samples for sequencing. SC, SA, MS, EA, DA, ED, SO, MAQ, DJT, BM, CIN and MB developed and implemented methods for sample processing and sequencing library preparation. JA-G, MM, GM, VRR, and DJ developed software for data management and visualisation. KAR, CH, AJ, KR, JCT, MTF, SC, SA, DA, CIN and MB carried out validation experiments. CVP, ST-H and CR contributed to development of the project. BM, MB, CIN and JCR provided project management and oversight. OM, MM, DK, JO’B and TGC carried out data analyses. DK and OM developed the FWS metric. DK, OM and MM wrote the manuscript.

                Article
                EMS49873
                10.1038/nature11174
                3738909
                22722859
                5f052039-f004-4ae1-91ac-5d907f14dac9

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                History
                Funding
                Funded by: Wellcome Trust :
                Award ID: 098051 || WT
                Funded by: Wellcome Trust :
                Award ID: 090770 || WT
                Funded by: Wellcome Trust :
                Award ID: 082370 || WT
                Funded by: Medical Research Council :
                Award ID: G19/9 || MRC_
                Funded by: Medical Research Council :
                Award ID: G0600718 || MRC_
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