PvGAMA reticulocyte binding activity: predicting conserved functional regions by natural selection analysis

Parasites & Vectors
Luis A BaqueroManuel A Patarroyo

Abstract

Adhesin proteins are used by Plasmodium parasites to bind and invade target cells. Hence, characterising molecules that participate in reticulocyte interaction is key to understanding the molecular basis of Plasmodium vivax invasion. This study focused on predicting functionally restricted regions of the P. vivax GPI-anchored micronemal antigen (PvGAMA) and characterising their reticulocyte binding activity. The pvgama gene was initially found in P. vivax VCG-I strain schizonts. According to the genetic diversity analysis, PvGAMA displayed a size polymorphism very common for antigenic P. vivax proteins. Two regions along the antigen sequence were highly conserved among species, having a negative natural selection signal. Interestingly, these regions revealed a functional role regarding preferential target cell adhesion. To our knowledge, this study describes PvGAMA reticulocyte binding properties for the first time. Conserved functional regions were predicted according to natural selection analysis and their binding ability was confirmed. These findings support the notion that PvGAMA may have an important role in P. vivax merozoite adhesion to its target cells.

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Citations

Sep 11, 2018·PloS One·Yoelis Yepes-PérezManuel Alfonso Patarroyo
Feb 10, 2018·Malaria Journal·Darwin Andrés Moreno-PérezManuel Alfonso Patarroyo
Feb 23, 2020·Expert Review of Vaccines·Manuel Alfonso PatarroyoDarwin A Moreno-Pérez
Sep 27, 2018·Frontiers in Genetics·Paola Andrea Camargo-AyalaManuel A Patarroyo
Aug 22, 2018·Malaria Journal·Maritza BermúdezManuel Alfonso Patarroyo
Jun 6, 2018·Frontiers in Cellular and Infection Microbiology·Carolina LópezManuel A Patarroyo
Oct 27, 2018·Current Opinion in Microbiology·Usheer KanjeeManoj T Duraisingh
May 16, 2021·International Journal of Infectious Diseases : IJID : Official Publication of the International Society for Infectious Diseases·Eugenia LoGiacomo Maria Paganotti
Aug 7, 2021·Pathogens·Jing-Wen HangBenoit Malleret

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Datasets Mentioned

BETA
KT248546

Methods Mentioned

BETA
flow cytometry
PCR
protein assay
ELISA

Software Mentioned

Datamonkey
pvgama
Flowjo
REL
FUBAR
ClustalW
GradhPad
MEME
GAMA
Generunner

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