Longitudinal tracking and quantification of individual Plasmodium falciparum clones in complex infections
Details
Publication Year 2019-03-04,Volume 9,Issue #1,Page 3333
Journal Title
Scientific Reports
Publication Type
Journal Article
Abstract
Longitudinal tracking of individual Plasmodium falciparum strains in multi-clonal infections is essential for investigating infection dynamics of malaria. The traditional genotyping techniques did not permit tracking changes in individual clone density during persistent natural infections. Amplicon deep sequencing (Amp-Seq) offers a tool to address this knowledge gap. The sensitivity of Amp-Seq for relative quantification of clones was investigated using three molecular markers, ama1-D2, ama1-D3, and cpmp. Amp-Seq and length-polymorphism based genotyping were compared for their performance in following minority clones in longitudinal samples from Papua New Guinea. Amp-Seq markers were superior to length-polymorphic marker msp2 in detecting minority clones (sensitivity Amp-Seq: 95%, msp2: 85%). Multiplicity of infection (MOI) by Amp-Seq was 2.32 versus 1.73 for msp2. The higher sensitivity had no effect on estimates of force of infection because missed minority clones were detected in preceding or succeeding bleeds. Individual clone densities were tracked longitudinally by Amp-Seq despite MOI > 1, thus providing an additional parameter for investigating malaria infection dynamics. Amp-Seq based genotyping of longitudinal samples improves detection of minority clones and estimates of MOI. Amp-Seq permits tracking of clone density over time to study clone competition or the dynamics of specific, i.e. resistance-associated genotypes.
Publisher
Springer Nature
Research Division(s)
Population Health And Immunity
PubMed ID
30833657
Open Access at Publisher's Site
https://doi.org/10.1038/s41598-019-39656-7
Terms of Use/Rights Notice
Refer to copyright notice on published article.


Creation Date: 2019-03-13 11:54:00
Last Modified: 2019-04-01 08:37:11
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