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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Veröffentlicht in:PLoS genetics 2021-02, Vol.17 (2), p.e1009269-e1009269
Hauptverfasser: 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
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container_issue 2
container_start_page e1009269
container_title PLoS genetics
container_volume 17
creator 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
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.
doi_str_mv 10.1371/journal.pgen.1009269
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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. 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PLoS genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tonkin-Hill, Gerry</au><au>Ruybal-Pesántez, Shazia</au><au>Tiedje, Kathryn E</au><au>Rougeron, Virginie</au><au>Duffy, Michael F</au><au>Zakeri, Sedigheh</au><au>Pumpaibool, Tepanata</au><au>Harnyuttanakorn, Pongchai</au><au>Branch, OraLee H</au><au>Ruiz-Mesía, Lastenia</au><au>Rask, Thomas S</au><au>Prugnolle, Franck</au><au>Papenfuss, Anthony T</au><au>Chan, Yao-Ban</au><au>Day, Karen P</au><au>Buchrieser, Carmen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evolutionary analyses of the major variant surface antigen-encoding genes reveal population structure of Plasmodium falciparum within and between continents</atitle><jtitle>PLoS genetics</jtitle><addtitle>PLoS Genet</addtitle><date>2021-02-01</date><risdate>2021</risdate><volume>17</volume><issue>2</issue><spage>e1009269</spage><epage>e1009269</epage><pages>e1009269-e1009269</pages><issn>1553-7404</issn><issn>1553-7390</issn><eissn>1553-7404</eissn><abstract>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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33630855</pmid><doi>10.1371/journal.pgen.1009269</doi><orcidid>https://orcid.org/0000-0002-9385-5416</orcidid><orcidid>https://orcid.org/0000-0001-5635-4033</orcidid><orcidid>https://orcid.org/0000-0001-9017-6656</orcidid><orcidid>https://orcid.org/0000-0001-8519-1253</orcidid><orcidid>https://orcid.org/0000-0003-4397-2224</orcidid><orcidid>https://orcid.org/0000-0003-0794-2597</orcidid><orcidid>https://orcid.org/0000-0002-6115-6135</orcidid><orcidid>https://orcid.org/0000-0002-1102-8506</orcidid><orcidid>https://orcid.org/0000-0002-8425-8775</orcidid><orcidid>https://orcid.org/0000-0002-6720-6906</orcidid><orcidid>https://orcid.org/0000-0003-3305-0533</orcidid><orcidid>https://orcid.org/0000-0002-0495-179X</orcidid><orcidid>https://orcid.org/0000-0001-5873-5681</orcidid><oa>free_for_read</oa></addata></record>
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identifier ISSN: 1553-7404
ispartof PLoS genetics, 2021-02, Vol.17 (2), p.e1009269-e1009269
issn 1553-7404
1553-7390
1553-7404
language eng
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subjects Antigenic Variation
Antigens
Antigens, Protozoan - genetics
Biology and Life Sciences
Datasets
Earth Sciences
Ecology and Environmental Sciences
Erythrocyte membrane protein 1
Erythrocytes
Evolution, Molecular
Gabon
Genes
Genomes
Ghana
Humans
Malaria, Falciparum - epidemiology
Malaria, Falciparum - parasitology
Markov Chains
Medicine and Health Sciences
Membrane proteins
Models, Statistical
Pathogens
People and Places
Plasmodium falciparum
Plasmodium falciparum - genetics
Population
Population structure
Protein Domains
Protozoan Proteins - genetics
Protozoan Proteins - metabolism
Recombination
Research and Analysis Methods
Single-nucleotide polymorphism
Surveillance
Uganda
Var gene
Whole genome sequencing
title Evolutionary analyses of the major variant surface antigen-encoding genes reveal population structure of Plasmodium falciparum within and between continents
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