A molecular barcode to inform the geographical origin and transmission dynamics of Plasmodium vivax malaria.
Although Plasmodium vivax parasites are the predominant cause of malaria outside of sub-Saharan Africa, they not always prioritised by elimination programmes. P. vivax is resilient and poses challenges through its ability to re-emerge from dormancy in the human liver. With observed growing drug-resi...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2020-02-01
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| Series: | PLoS Genetics |
| Online Access: | https://doi.org/10.1371/journal.pgen.1008576 |
| _version_ | 1818727420811804672 |
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| author | Ernest Diez Benavente Monica Campos Jody Phelan Debbie Nolder Jamille G Dombrowski Claudio R F Marinho Kanlaya Sriprawat Aimee R Taylor James Watson Cally Roper Francois Nosten Colin J Sutherland Susana Campino Taane G Clark |
| author_facet | Ernest Diez Benavente Monica Campos Jody Phelan Debbie Nolder Jamille G Dombrowski Claudio R F Marinho Kanlaya Sriprawat Aimee R Taylor James Watson Cally Roper Francois Nosten Colin J Sutherland Susana Campino Taane G Clark |
| author_sort | Ernest Diez Benavente |
| collection | DOAJ |
| description | Although Plasmodium vivax parasites are the predominant cause of malaria outside of sub-Saharan Africa, they not always prioritised by elimination programmes. P. vivax is resilient and poses challenges through its ability to re-emerge from dormancy in the human liver. With observed growing drug-resistance and the increasing reports of life-threatening infections, new tools to inform elimination efforts are needed. In order to halt transmission, we need to better understand the dynamics of transmission, the movement of parasites, and the reservoirs of infection in order to design targeted interventions. The use of molecular genetics and epidemiology for tracking and studying malaria parasite populations has been applied successfully in P. falciparum species and here we sought to develop a molecular genetic tool for P. vivax. By assembling the largest set of P. vivax whole genome sequences (n = 433) spanning 17 countries, and applying a machine learning approach, we created a 71 SNP barcode with high predictive ability to identify geographic origin (91.4%). Further, due to the inclusion of markers for within population variability, the barcode may also distinguish local transmission networks. By using P. vivax data from a low-transmission setting in Malaysia, we demonstrate the potential ability to infer outbreak events. By characterising the barcoding SNP genotypes in P. vivax DNA sourced from UK travellers (n = 132) to ten malaria endemic countries predominantly not used in the barcode construction, we correctly predicted the geographic region of infection origin. Overall, the 71 SNP barcode outperforms previously published genotyping methods and when rolled-out within new portable platforms, is likely to be an invaluable tool for informing targeted interventions towards elimination of this resilient human malaria. |
| first_indexed | 2024-12-17T22:13:49Z |
| format | Article |
| id | doaj.art-b49bde8315b3485c908068d192269cd1 |
| institution | Directory Open Access Journal |
| issn | 1553-7390 1553-7404 |
| language | English |
| last_indexed | 2024-12-17T22:13:49Z |
| publishDate | 2020-02-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Genetics |
| spelling | doaj.art-b49bde8315b3485c908068d192269cd12022-12-21T21:30:40ZengPublic Library of Science (PLoS)PLoS Genetics1553-73901553-74042020-02-01162e100857610.1371/journal.pgen.1008576A molecular barcode to inform the geographical origin and transmission dynamics of Plasmodium vivax malaria.Ernest Diez BenaventeMonica CamposJody PhelanDebbie NolderJamille G DombrowskiClaudio R F MarinhoKanlaya SriprawatAimee R TaylorJames WatsonCally RoperFrancois NostenColin J SutherlandSusana CampinoTaane G ClarkAlthough Plasmodium vivax parasites are the predominant cause of malaria outside of sub-Saharan Africa, they not always prioritised by elimination programmes. P. vivax is resilient and poses challenges through its ability to re-emerge from dormancy in the human liver. With observed growing drug-resistance and the increasing reports of life-threatening infections, new tools to inform elimination efforts are needed. In order to halt transmission, we need to better understand the dynamics of transmission, the movement of parasites, and the reservoirs of infection in order to design targeted interventions. The use of molecular genetics and epidemiology for tracking and studying malaria parasite populations has been applied successfully in P. falciparum species and here we sought to develop a molecular genetic tool for P. vivax. By assembling the largest set of P. vivax whole genome sequences (n = 433) spanning 17 countries, and applying a machine learning approach, we created a 71 SNP barcode with high predictive ability to identify geographic origin (91.4%). Further, due to the inclusion of markers for within population variability, the barcode may also distinguish local transmission networks. By using P. vivax data from a low-transmission setting in Malaysia, we demonstrate the potential ability to infer outbreak events. By characterising the barcoding SNP genotypes in P. vivax DNA sourced from UK travellers (n = 132) to ten malaria endemic countries predominantly not used in the barcode construction, we correctly predicted the geographic region of infection origin. Overall, the 71 SNP barcode outperforms previously published genotyping methods and when rolled-out within new portable platforms, is likely to be an invaluable tool for informing targeted interventions towards elimination of this resilient human malaria.https://doi.org/10.1371/journal.pgen.1008576 |
| spellingShingle | Ernest Diez Benavente Monica Campos Jody Phelan Debbie Nolder Jamille G Dombrowski Claudio R F Marinho Kanlaya Sriprawat Aimee R Taylor James Watson Cally Roper Francois Nosten Colin J Sutherland Susana Campino Taane G Clark A molecular barcode to inform the geographical origin and transmission dynamics of Plasmodium vivax malaria. PLoS Genetics |
| title | A molecular barcode to inform the geographical origin and transmission dynamics of Plasmodium vivax malaria. |
| title_full | A molecular barcode to inform the geographical origin and transmission dynamics of Plasmodium vivax malaria. |
| title_fullStr | A molecular barcode to inform the geographical origin and transmission dynamics of Plasmodium vivax malaria. |
| title_full_unstemmed | A molecular barcode to inform the geographical origin and transmission dynamics of Plasmodium vivax malaria. |
| title_short | A molecular barcode to inform the geographical origin and transmission dynamics of Plasmodium vivax malaria. |
| title_sort | molecular barcode to inform the geographical origin and transmission dynamics of plasmodium vivax malaria |
| url | https://doi.org/10.1371/journal.pgen.1008576 |
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