In silico characterisation of putative Plasmodium falciparum vaccine candidates in African malaria populations

Abstract Genetic diversity of surface exposed and stage specific Plasmodium falciparum immunogenic proteins pose a major roadblock to developing an effective malaria vaccine with broad and long-lasting immunity. We conducted a prospective genetic analysis of candidate antigens (msp1, ama1, rh5, eba1...

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Autores principales:	O. Ajibola, M. F. Diop, A. Ghansah, L. Amenga-Etego, L. Golassa, T. Apinjoh, M. Randrianarivelojosia, O. Maiga-Ascofare, W. Yavo, M. Bouyou-Akotet, K. M. Oyebola, B. Andagalu, U. D’Alessandro, D. Ishengoma, A. A. Djimde, E. Kamau, A. Amambua-Ngwa
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/af7c35910675453daf711e020d9764c5
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spelling	oai:doaj.org-article:af7c35910675453daf711e020d9764c52021-12-02T16:27:44ZIn silico characterisation of putative Plasmodium falciparum vaccine candidates in African malaria populations10.1038/s41598-021-95442-42045-2322https://doaj.org/article/af7c35910675453daf711e020d9764c52021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95442-4https://doaj.org/toc/2045-2322Abstract Genetic diversity of surface exposed and stage specific Plasmodium falciparum immunogenic proteins pose a major roadblock to developing an effective malaria vaccine with broad and long-lasting immunity. We conducted a prospective genetic analysis of candidate antigens (msp1, ama1, rh5, eba175, glurp, celtos, csp, lsa3, Pfsea, trap, conserved chrom3, hyp9, hyp10, phistb, surfin8.2, and surfin14.1) for malaria vaccine development on 2375 P. falciparum sequences from 16 African countries. We described signatures of balancing selection inferred from positive values of Tajima’s D for all antigens across all populations except for glurp. This could be as a result of immune selection on these antigens as positive Tajima’s D values mapped to regions with putative immune epitopes. A less diverse phistb antigen was characterised with a transmembrane domain, glycophosphatidyl anchors between the N and C- terminals, and surface epitopes that could be targets of immune recognition. This study demonstrates the value of population genetic and immunoinformatic analysis for identifying and characterising new putative vaccine candidates towards improving strain transcending immunity, and vaccine efficacy across all endemic populations.O. AjibolaM. F. DiopA. GhansahL. Amenga-EtegoL. GolassaT. ApinjohM. RandrianarivelojosiaO. Maiga-AscofareW. YavoM. Bouyou-AkotetK. M. OyebolaB. AndagaluU. D’AlessandroD. IshengomaA. A. DjimdeE. KamauA. Amambua-NgwaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q O. Ajibola M. F. Diop A. Ghansah L. Amenga-Etego L. Golassa T. Apinjoh M. Randrianarivelojosia O. Maiga-Ascofare W. Yavo M. Bouyou-Akotet K. M. Oyebola B. Andagalu U. D’Alessandro D. Ishengoma A. A. Djimde E. Kamau A. Amambua-Ngwa In silico characterisation of putative Plasmodium falciparum vaccine candidates in African malaria populations
description	Abstract Genetic diversity of surface exposed and stage specific Plasmodium falciparum immunogenic proteins pose a major roadblock to developing an effective malaria vaccine with broad and long-lasting immunity. We conducted a prospective genetic analysis of candidate antigens (msp1, ama1, rh5, eba175, glurp, celtos, csp, lsa3, Pfsea, trap, conserved chrom3, hyp9, hyp10, phistb, surfin8.2, and surfin14.1) for malaria vaccine development on 2375 P. falciparum sequences from 16 African countries. We described signatures of balancing selection inferred from positive values of Tajima’s D for all antigens across all populations except for glurp. This could be as a result of immune selection on these antigens as positive Tajima’s D values mapped to regions with putative immune epitopes. A less diverse phistb antigen was characterised with a transmembrane domain, glycophosphatidyl anchors between the N and C- terminals, and surface epitopes that could be targets of immune recognition. This study demonstrates the value of population genetic and immunoinformatic analysis for identifying and characterising new putative vaccine candidates towards improving strain transcending immunity, and vaccine efficacy across all endemic populations.
format	article
author	O. Ajibola M. F. Diop A. Ghansah L. Amenga-Etego L. Golassa T. Apinjoh M. Randrianarivelojosia O. Maiga-Ascofare W. Yavo M. Bouyou-Akotet K. M. Oyebola B. Andagalu U. D’Alessandro D. Ishengoma A. A. Djimde E. Kamau A. Amambua-Ngwa
author_facet	O. Ajibola M. F. Diop A. Ghansah L. Amenga-Etego L. Golassa T. Apinjoh M. Randrianarivelojosia O. Maiga-Ascofare W. Yavo M. Bouyou-Akotet K. M. Oyebola B. Andagalu U. D’Alessandro D. Ishengoma A. A. Djimde E. Kamau A. Amambua-Ngwa
author_sort	O. Ajibola
title	In silico characterisation of putative Plasmodium falciparum vaccine candidates in African malaria populations
title_short	In silico characterisation of putative Plasmodium falciparum vaccine candidates in African malaria populations
title_full	In silico characterisation of putative Plasmodium falciparum vaccine candidates in African malaria populations
title_fullStr	In silico characterisation of putative Plasmodium falciparum vaccine candidates in African malaria populations
title_full_unstemmed	In silico characterisation of putative Plasmodium falciparum vaccine candidates in African malaria populations
title_sort	in silico characterisation of putative plasmodium falciparum vaccine candidates in african malaria populations
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/af7c35910675453daf711e020d9764c5
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In silico characterisation of putative Plasmodium falciparum vaccine candidates in African malaria populations

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