PLoS neglected tropical diseasesGeneticsPeer-reviewed journal article
Genetic diversity in two Plasmodium vivax protein ligands for reticulocyte invasion
Camille RoeschiD, Jean PopoviciiD, Sophalai Bin, Vorleak Run, Saorin Kim, Stéphanie RamboarinaiD, Emma RakotomalalaiD, Rado Lalaina RakotoarisoniD, Lova Tsikiniaina Rasoloharimanana, Zo Andriamanantena, Anuj KumariD, Micheline Guillotte-Blisnick, Christèle HuoniD, David SerreiD, Chetan E. ChitnisiD, Inès Vigan-WomasiD, Didier MénardiD
Abstract
The interaction between Plasmodium vivax Duffy binding protein (PvDBP) and Duffy antigen receptor for chemokines (DARC) has been described as critical for the invasion of human reticulocytes, although increasing reports of P. vivax infections in Duffy-negative individuals questions its unique role. To investigate the genetic diversity of the two main protein ligands for reticulocyte invasion, PvDBP and P. vivax Erythrocyte Binding Protein (PvEBP), we analyzed 458 isolates collected in Cambodia and Madagascar. First, we observed a high proportion of isolates with multiple copies PvEBP from Madagascar (56%) where Duffy negative and positive individuals coexist compared to Cambodia (19%) where Duffy-negative population is virtually absent. Whether the gene amplification observed is responsible for alternate invasion pathways remains to be tested. Second, we found that the PvEBP gene was less diverse than PvDBP gene (12 vs. 33 alleles) but provided evidence for an excess of nonsynonymous mutations with the complete absence of synonymous mutations. This finding reveals that PvEBP is under strong diversifying selection, and confirms the importance of this protein ligand in the invasion process of the human reticulocytes and as a target of acquired immunity. These observations highlight how genomic changes in parasite ligands improve the fitness of P. vivax isolates in the face of immune pressure and receptor polymorphisms.
- organism: plant (other)
- assay: DNA methylation
- research focus: gene regulatory network inference
- research focus: variant calling
- research focus: variant effect prediction
- research focus: differential expression
- approach: statistical model
- Citations
- 49
- FWCI
- 3.33
- Field percentile
- top 8%
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