4.2 Article

Patterns and dynamics of genetic diversity in Plasmodium falciparum: What past human migrations tell us about malaria

Journal

PARASITOLOGY INTERNATIONAL
Volume 64, Issue 3, Pages 238-243

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.parint.2014.09.007

Keywords

Malaria; Plasmodium falciparum; Genetic diversity; Migration; Bottleneck; Population structure

Categories

Funding

  1. Cooperative Research Grant of NEKKEN
  2. Foundation of Strategic Research Projects in Private Universities from the Ministry of Education, Culture, Sports, Science, and Technology of Japan [S0991013]
  3. Medical Research Council
  4. MIDAS
  5. [23659211]
  6. [23590498]
  7. [26305015]
  8. [26460515]
  9. MRC [MR/K010174/1] Funding Source: UKRI
  10. Medical Research Council [MR/K010174/1, MR/K010174/1B] Funding Source: researchfish

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Plasmodium falciparum is the main agent of malaria, one of the major human infectious diseases affecting millions of people worldwide. The genetic diversity of P. falciparum populations is an essential factor in the parasite's ability to adapt to changes in its environment, enabling the development of drug resistance and the evasion from the host immune system through antigenic variation. Therefore, characterizing these patterns and understanding the main drivers of the pathogen's genetic diversity can provide useful inputs for informing control strategies. In this paper, we review the pioneering work led by Professor Kazuyuki Tanabe on the genetic diversity of P. falciparum populations. In a first part, we recall basic results from population genetics for quantifying within-population genetic diversity, and discuss the main mechanisms driving this diversity. Then, we show how these approaches have been used for reconstructing the historical spread of malaria worldwide, and how current patterns of genetic diversity suggest that the pathogen followed our ancestors in their journey out of Africa. Because these results are robust to different types of genetic markers, they provide a baseline for predicting the pathogen's diversity in unsampled populations, and some useful elements for predicting vaccine efficacy and informing malaria control strategies. (C) 2014 Elsevier Ireland Ltd. All rights reserved.

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