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Evolutionary analyses of the major variant surface antigen-encoding genes reveal population structure of Plasmodium falciparum within and between continents

Malaria remains a major public health problem in many countries. Unlike influenza and HIV, where diversity in immunodominant surface antigens is understood geographically to inform disease surveillance, relatively little is known about the global population structure of PfEMP1, the major variant sur...

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Autores principales: Tonkin-Hill, Gerry, Ruybal-Pesántez, Shazia, Tiedje, Kathryn E., Rougeron, Virginie, Duffy, Michael F., Zakeri, Sedigheh, Pumpaibool, Tepanata, Harnyuttanakorn, Pongchai, Branch, OraLee H., Ruiz-Mesía, Lastenia, Rask, Thomas S., Prugnolle, Franck, Papenfuss, Anthony T., Chan, Yao-ban, Day, Karen P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7906310/
https://www.ncbi.nlm.nih.gov/pubmed/33630855
http://dx.doi.org/10.1371/journal.pgen.1009269
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author Tonkin-Hill, Gerry
Ruybal-Pesántez, Shazia
Tiedje, Kathryn E.
Rougeron, Virginie
Duffy, Michael F.
Zakeri, Sedigheh
Pumpaibool, Tepanata
Harnyuttanakorn, Pongchai
Branch, OraLee H.
Ruiz-Mesía, Lastenia
Rask, Thomas S.
Prugnolle, Franck
Papenfuss, Anthony T.
Chan, Yao-ban
Day, Karen P.
author_facet Tonkin-Hill, Gerry
Ruybal-Pesántez, Shazia
Tiedje, Kathryn E.
Rougeron, Virginie
Duffy, Michael F.
Zakeri, Sedigheh
Pumpaibool, Tepanata
Harnyuttanakorn, Pongchai
Branch, OraLee H.
Ruiz-Mesía, Lastenia
Rask, Thomas S.
Prugnolle, Franck
Papenfuss, Anthony T.
Chan, Yao-ban
Day, Karen P.
author_sort Tonkin-Hill, Gerry
collection PubMed
description Malaria remains a major public health problem in many countries. Unlike influenza and HIV, where diversity in immunodominant surface antigens is understood geographically to inform disease surveillance, relatively little is known about the global population structure of PfEMP1, the major variant surface antigen of the malaria parasite Plasmodium falciparum. The complexity of the var multigene family that encodes PfEMP1 and that diversifies by recombination, has so far precluded its use in malaria surveillance. Recent studies have demonstrated that cost-effective deep sequencing of the region of var genes encoding the PfEMP1 DBLα domain and subsequent classification of within host sequences at 96% identity to define unique DBLα types, can reveal structure and strain dynamics within countries. However, to date there has not been a comprehensive comparison of these DBLα types between countries. By leveraging a bioinformatic approach (jumping hidden Markov model) designed specifically for the analysis of recombination within var genes and applying it to a dataset of DBLα types from 10 countries, we are able to describe population structure of DBLα types at the global scale. The sensitivity of the approach allows for the comparison of the global dataset to ape samples of Plasmodium Laverania species. Our analyses show that the evolution of the parasite population emerging out of Africa underlies current patterns of DBLα type diversity. Most importantly, we can distinguish geographic population structure within Africa between Gabon and Ghana in West Africa and Uganda in East Africa. Our evolutionary findings have translational implications in the context of globalization. Firstly, DBLα type diversity can provide a simple diagnostic framework for geographic surveillance of the rapidly evolving transmission dynamics of P. falciparum. It can also inform efforts to understand the presence or absence of global, regional and local population immunity to major surface antigen variants. Additionally, we identify a number of highly conserved DBLα types that are present globally that may be of biological significance and warrant further characterization.
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spelling pubmed-79063102021-03-03 Evolutionary analyses of the major variant surface antigen-encoding genes reveal population structure of Plasmodium falciparum within and between continents Tonkin-Hill, Gerry Ruybal-Pesántez, Shazia Tiedje, Kathryn E. Rougeron, Virginie Duffy, Michael F. Zakeri, Sedigheh Pumpaibool, Tepanata Harnyuttanakorn, Pongchai Branch, OraLee H. Ruiz-Mesía, Lastenia Rask, Thomas S. Prugnolle, Franck Papenfuss, Anthony T. Chan, Yao-ban Day, Karen P. PLoS Genet Research Article Malaria remains a major public health problem in many countries. Unlike influenza and HIV, where diversity in immunodominant surface antigens is understood geographically to inform disease surveillance, relatively little is known about the global population structure of PfEMP1, the major variant surface antigen of the malaria parasite Plasmodium falciparum. The complexity of the var multigene family that encodes PfEMP1 and that diversifies by recombination, has so far precluded its use in malaria surveillance. Recent studies have demonstrated that cost-effective deep sequencing of the region of var genes encoding the PfEMP1 DBLα domain and subsequent classification of within host sequences at 96% identity to define unique DBLα types, can reveal structure and strain dynamics within countries. However, to date there has not been a comprehensive comparison of these DBLα types between countries. By leveraging a bioinformatic approach (jumping hidden Markov model) designed specifically for the analysis of recombination within var genes and applying it to a dataset of DBLα types from 10 countries, we are able to describe population structure of DBLα types at the global scale. The sensitivity of the approach allows for the comparison of the global dataset to ape samples of Plasmodium Laverania species. Our analyses show that the evolution of the parasite population emerging out of Africa underlies current patterns of DBLα type diversity. Most importantly, we can distinguish geographic population structure within Africa between Gabon and Ghana in West Africa and Uganda in East Africa. Our evolutionary findings have translational implications in the context of globalization. Firstly, DBLα type diversity can provide a simple diagnostic framework for geographic surveillance of the rapidly evolving transmission dynamics of P. falciparum. It can also inform efforts to understand the presence or absence of global, regional and local population immunity to major surface antigen variants. Additionally, we identify a number of highly conserved DBLα types that are present globally that may be of biological significance and warrant further characterization. Public Library of Science 2021-02-25 /pmc/articles/PMC7906310/ /pubmed/33630855 http://dx.doi.org/10.1371/journal.pgen.1009269 Text en © 2021 Tonkin-Hill et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Tonkin-Hill, Gerry
Ruybal-Pesántez, Shazia
Tiedje, Kathryn E.
Rougeron, Virginie
Duffy, Michael F.
Zakeri, Sedigheh
Pumpaibool, Tepanata
Harnyuttanakorn, Pongchai
Branch, OraLee H.
Ruiz-Mesía, Lastenia
Rask, Thomas S.
Prugnolle, Franck
Papenfuss, Anthony T.
Chan, Yao-ban
Day, Karen P.
Evolutionary analyses of the major variant surface antigen-encoding genes reveal population structure of Plasmodium falciparum within and between continents
title Evolutionary analyses of the major variant surface antigen-encoding genes reveal population structure of Plasmodium falciparum within and between continents
title_full Evolutionary analyses of the major variant surface antigen-encoding genes reveal population structure of Plasmodium falciparum within and between continents
title_fullStr Evolutionary analyses of the major variant surface antigen-encoding genes reveal population structure of Plasmodium falciparum within and between continents
title_full_unstemmed Evolutionary analyses of the major variant surface antigen-encoding genes reveal population structure of Plasmodium falciparum within and between continents
title_short Evolutionary analyses of the major variant surface antigen-encoding genes reveal population structure of Plasmodium falciparum within and between continents
title_sort evolutionary analyses of the major variant surface antigen-encoding genes reveal population structure of plasmodium falciparum within and between continents
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7906310/
https://www.ncbi.nlm.nih.gov/pubmed/33630855
http://dx.doi.org/10.1371/journal.pgen.1009269
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