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Analysis of Plasmodium falciparum diversity in natural infections by deep sequencing
Authors:Manske Magnus  Miotto Olivo  Campino Susana  Auburn Sarah  Almagro-Garcia Jacob  Maslen Gareth  O'Brien Jack  Djimde Abdoulaye  Doumbo Ogobara  Zongo Issaka  Ouedraogo Jean-Bosco  Michon Pascal  Mueller Ivo  Siba Peter  Nzila Alexis  Borrmann Steffen  Kiara Steven M  Marsh Kevin  Jiang Hongying  Su Xin-Zhuan  Amaratunga Chanaki  Fairhurst Rick  Socheat Duong  Nosten Francois  Imwong Mallika  White Nicholas J  Sanders Mandy  Anastasi Elisa  Alcock Dan  Drury Eleanor  Oyola Samuel  Quail Michael A  Turner Daniel J  Ruano-Rubio Valentin  Jyothi Dushyanth  Amenga-Etego Lucas  Hubbart Christina  Jeffreys Anna  Rowlands Kate
Institution:Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK.
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.
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