Global diversity and balancing selection of 23 leading Plasmodium falciparum candidate vaccine antigens.

Journal: PLoS computational biology

Volume: 18

Issue: 2

Year of Publication: 2022

Affiliated Institutions:  Population Health and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia. School of Science, RMIT University, Melbourne, Victoria, Australia. Vector Borne Diseases Unit, Papua New Guinea Institute of Medical Research, Madang, Papua New Guinea. Swiss Tropical Public Health Institute, Basel, Switzerland. Sanger Institute, Hinxton, United Kingdom.

Abstract summary 

Investigation of the diversity of malaria parasite antigens can help prioritize and validate them as vaccine candidates and identify the most common variants for inclusion in vaccine formulations. Studies of vaccine candidates of the most virulent human malaria parasite, Plasmodium falciparum, have focused on a handful of well-known antigens, while several others have never been studied. Here we examine the global diversity and population structure of leading vaccine candidate antigens of P. falciparum using the MalariaGEN Pf3K (version 5.1) resource, comprising more than 2600 genomes from 15 malaria endemic countries. A stringent variant calling pipeline was used to extract high quality antigen gene 'haplotypes' from the global dataset and a new R-package named VaxPack was used to streamline population genetic analyses. In addition, a newly developed algorithm that enables spatial averaging of selection pressure on 3D protein structures was applied to the dataset. We analysed the genes encoding 23 leading and novel candidate malaria vaccine antigens including csp, trap, eba175, ama1, rh5, and CelTOS. Our analysis shows that current malaria vaccine formulations are based on rare haplotypes and thus may have limited efficacy against natural parasite populations. High levels of diversity with evidence of balancing selection was detected for most of the erythrocytic and pre-erythrocytic antigens. Measures of natural selection were then mapped to 3D protein structures to predict targets of functional antibodies. For some antigens, geographical variation in the intensity and distribution of these signals on the 3D structure suggests adaptation to different human host or mosquito vector populations. This study provides an essential framework for the diversity of P. falciparum antigens to be considered in the design of the next generation of malaria vaccines.

Authors & Co-authors:  Naung Myo T MT Martin Elijah E Munro Jacob J Mehra Somya S Guy Andrew J AJ Laman Moses M Harrison G L Abby GLA Tavul Livingstone L Hetzel Manuel M Kwiatkowski Dominic D Mueller Ivo I Bahlo Melanie M Barry Alyssa E AE

Study Outcome 

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Statistics
Citations :  Prugnolle F, Durand P, Ollomo B, Duval L, Ariey F, Arnathau C, et al.. A Fresh Look at the Origin of Plasmodium falciparum, the Most Malignant Malaria Agent. PLOS Pathog. 2011;7: e1001283. doi: 10.1371/journal.ppat.1001283
Authors :  13
Identifiers
Doi : e1009801
SSN : 1553-7358
Study Population
Male,Female
Mesh Terms
Animals
Other Terms
Study Design
Study Approach
Country of Study
Publication Country
United States