Kaczanowski, Szymon (2023) Detection of positive selection acting on protein surfaces at the whole-genome scale in the human malaria parasite Plasmodium falciparum. Infection, Genetics and Evolution, 107 (105397). 9 p. ISSN 1567-1348
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Official URL: http://www.elsevier.com/locate/meegid
Abstract
The host–parasite evolutionary arms race is a fundamental process with medical implications. During this pro- cess, the host develops parasite resistance, and the parasite develops host immune evasion strategies. Thus, this process accelerates relevant protein evolution. This study test hypothesizes that proteins subject to sequence evolution structural constraints play a crucial role and that these constraints hinder the modification of such proteins in this process. These hypotheses were tested using Plasmodium falciparum model and evaluated protein structures predicted for the entire proteome by the AlphaFold method. Based on dN/dS test results and P. falciparum and P. reichenowi comparisons, the presented approach identified proteins subject to purifying selection acting on the whole sequence and buried residues (dN < dS) and positive selection on nonburied residues. Of the 26 proteins, some known antigens (ring-exported protein 3, RAP protein, erythrocyte binding antigen-140, and protein P47) targeted by the host immune system are promising vaccine candidates. The set also contained 11 enzymes, including FIKK kinase, which modifies host proteins. This set was compared with genes for which the dN/dS test suggested that positive selection acts on the whole gene (i.e., dN > dS). The present study found that such genes encode enzymes and antigenic vaccine candidates less frequently than genes for which evolution is not subject to selection constraints and positive selection acts on only exposed residues. The analysis was repeated comparing P. falciparum with P. alderi, which is more distantly related. The study discusses the potential implications of the presented methodology for rational vaccine design and the parasi- tology and evolutionary biology fields.
Item Type: | Article |
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Subjects: | Q Science > QH Natural history > QH301 Biology Q Science > QH Natural history > QH426 Genetics Q Science > QR Microbiology > QR180 Immunology |
Divisions: | Department of Bioinformatics |
ID Code: | 2302 |
Deposited By: | dr szymon kaczanowski |
Deposited On: | 07 Aug 2023 07:39 |
Last Modified: | 07 Aug 2023 07:39 |
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