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Title: A barcode of organellar genome polymorphisms identifies the geographic origin of Plasmodium falciparum strains
Authors: Mark D. Preston
Susana Campino
Samuel A. Assefa
Diego F. Echeverry
Harold Ocholla
Alfred Amambua-Ngwa
Lindsay B. Stewart
David J. Conway
Steffen Borrmann
Pascal Michon
Issaka Zongo
Jean Bosco Ouédraogo
Abdoulaye A. Djimde
Ogobara K. Doumbo
Francois Nosten
Arnab Pain
Teun Bousema
Chris J. Drakeley
Rick M. Fairhurst
Colin J. Sutherland
Cally Roper
Taane G. Clark
London School of Hygiene & Tropical Medicine
Wellcome Trust Sanger Institute
Purdue University
International Center for Medical Research and Training
University of Malawi
Malawi-Liverpool-Wellcome Trust Clinical Research Programme
Liverpool School of Tropical Medicine
Medical Research Council Laboratories Gambia
Wellcome Trust Research Laboratories Nairobi
Universitat Tubingen
Divine Word University
Institut de Recherche en Sciences de la Santé
University of Bamako Faculty of Medicine, Pharmacy and Odonto-Stomatology
Nuffield Department of Clinical Medicine
Mahidol University
King Abdullah University of Science and Technology
National Institutes of Health, Bethesda
Keywords: Biochemistry, Genetics and Molecular Biology;Chemistry;Physics and Astronomy
Issue Date: 13-Jun-2014
Citation: Nature Communications. Vol.5, (2014)
Abstract: Malaria is a major public health problem that is actively being addressed in a global eradication campaign. Increased population mobility through international air travel has elevated the risk of re-introducing parasites to elimination areas and dispersing drug-resistant parasites to new regions. A simple genetic marker that quickly and accurately identifies the geographic origin of infections would be a valuable public health tool for locating the source of imported outbreaks. Here we analyse the mitochondrion and apicoplast genomes of 711 Plasmodium falciparum isolates from 14 countries, and find evidence that they are non-recombining and co-inherited. The high degree of linkage produces a panel of relatively few single-nucleotide polymorphisms (SNPs) that is geographically informative. We design a 23-SNP barcode that is highly predictive (∼92%) and easily adapted to aid case management in the field and survey parasite migration worldwide. © 2014 Macmillan Publishers Limited. All rights reserved.
ISSN: 20411723
Appears in Collections:Scopus 2011-2015

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