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Population genetic analysis of plasmodium falciparum parasites using a customized illumina goldengate genotyping assay

dc.contributor.authorSusana Campinoen_US
dc.contributor.authorSarah Auburnen_US
dc.contributor.authorKatja Kivinenen_US
dc.contributor.authorIssaka Zongoen_US
dc.contributor.authorJean Bosco Ouedraogoen_US
dc.contributor.authorValentina Manganoen_US
dc.contributor.authorAbdoulaye Djimdeen_US
dc.contributor.authorOgobara K. Doumboen_US
dc.contributor.authorSteven M. Kiaraen_US
dc.contributor.authorAlexis Nzilaen_US
dc.contributor.authorSteffen Borrmannen_US
dc.contributor.authorKevin Marshen_US
dc.contributor.authorPascal Michonen_US
dc.contributor.authorIvo Muelleren_US
dc.contributor.authorPeter Sibaen_US
dc.contributor.authorHongying Jiangen_US
dc.contributor.authorXin Zhuan Suen_US
dc.contributor.authorChanaki Amaratungaen_US
dc.contributor.authorDuong Socheaten_US
dc.contributor.authorRick M. Fairhursten_US
dc.contributor.authorMallika Imwongen_US
dc.contributor.authorTimothy Andersonen_US
dc.contributor.authorFrançois Nostenen_US
dc.contributor.authorNicholas J. Whiteen_US
dc.contributor.authorRhian Gwilliamen_US
dc.contributor.authorPanos Deloukasen_US
dc.contributor.authorBronwyn MacInnisen_US
dc.contributor.authorChristopher I. Newbolden_US
dc.contributor.authorKirk Rocketten_US
dc.contributor.authorTaane G. Clarken_US
dc.contributor.authorDominic P. Kwiatkowskien_US
dc.contributor.otherWellcome Trust Sanger Instituteen_US
dc.contributor.otherMenzies School of Health Researchen_US
dc.contributor.otherInstitut de Recherche en Sciences de la Santéen_US
dc.contributor.otherUniversita degli Studi di Roma La Sapienzaen_US
dc.contributor.otherUniversity of Bamako Faculty of Medicine, Pharmacy and Odonto-Stomatologyen_US
dc.contributor.otherWellcome Trust Research Laboratories Nairobien_US
dc.contributor.otherPapua New Guinea Institute of Medical Researchen_US
dc.contributor.otherDivine Word Universityen_US
dc.contributor.otherNational Institute of Allergy and Infectious Diseasesen_US
dc.contributor.otherNational Center for Parasitology, Entomology and Malaria Controlen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherTexas Biomedical Research Instituteen_US
dc.contributor.otherShoklo Malaria Research Uniten_US
dc.contributor.otherJohn Radcliffe Hospitalen_US
dc.contributor.otherWellcome Trust Centre for Human Geneticsen_US
dc.contributor.otherLondon School of Hygiene & Tropical Medicineen_US
dc.date.accessioned2018-05-03T07:56:20Z
dc.date.available2018-05-03T07:56:20Z
dc.date.issued2011-06-13en_US
dc.description.abstractThe diversity in the Plasmodium falciparum genome can be used to explore parasite population dynamics, with practical applications to malaria control. The ability to identify the geographic origin and trace the migratory patterns of parasites with clinically important phenotypes such as drug resistance is particularly relevant. With increasing single-nucleotide polymorphism (SNP) discovery from ongoing Plasmodium genome sequencing projects, a demand for high SNP and sample throughput genotyping platforms for large-scale population genetic studies is required. Low parasitaemias and multiple clone infections present a number of challenges to genotyping P. falciparum. We addressed some of these issues using a custom 384-SNP Illumina GoldenGate assay on P. falciparum DNA from laboratory clones (long-term cultured adapted parasite clones), short-term cultured parasite isolates and clinical (non-cultured isolates) samples from East and West Africa, Southeast Asia and Oceania. Eighty percent of the SNPs (n = 306) produced reliable genotype calls on samples containing as little as 2 ng of total genomic DNA and on whole genome amplified DNA. Analysis of artificial mixtures of laboratory clones demonstrated high genotype calling specificity and moderate sensitivity to call minor frequency alleles. Clear resolution of geographically distinct populations was demonstrated using Principal Components Analysis (PCA), and global patterns of population genetic diversity were consistent with previous reports. These results validate the utility of the platform in performing population genetic studies of P. falciparum. © 2011 Campino et al.en_US
dc.identifier.citationPLoS ONE. Vol.6, No.6 (2011)en_US
dc.identifier.doi10.1371/journal.pone.0020251en_US
dc.identifier.issn19326203en_US
dc.identifier.other2-s2.0-79958084112en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/11306
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79958084112&origin=inwarden_US
dc.subjectAgricultural and Biological Sciencesen_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.titlePopulation genetic analysis of plasmodium falciparum parasites using a customized illumina goldengate genotyping assayen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79958084112&origin=inwarden_US

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