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Genetic analysis reveals unique characteristics of Plasmodium falciparum parasite populations in Haiti

BACKGROUND: With increasing interest in eliminating malaria from the Caribbean region, Haiti is one of the two countries on the island of Hispaniola with continued malaria transmission. While the Haitian population remains at risk for malaria, there are a limited number of cases annually, making con...

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Autores principales: Daniels, Rachel F., Chenet, Stella, Rogier, Eric, Lucchi, Naomi, Herman, Camelia, Pierre, Baby, Lemoine, Jean Frantz, Boncy, Jacques, Wirth, Dyann F., Chang, Michelle A., Udhayakumar, Venkatachalam, Volkman, Sarah K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583211/
https://www.ncbi.nlm.nih.gov/pubmed/33097045
http://dx.doi.org/10.1186/s12936-020-03439-7
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author Daniels, Rachel F.
Chenet, Stella
Rogier, Eric
Lucchi, Naomi
Herman, Camelia
Pierre, Baby
Lemoine, Jean Frantz
Boncy, Jacques
Wirth, Dyann F.
Chang, Michelle A.
Udhayakumar, Venkatachalam
Volkman, Sarah K.
author_facet Daniels, Rachel F.
Chenet, Stella
Rogier, Eric
Lucchi, Naomi
Herman, Camelia
Pierre, Baby
Lemoine, Jean Frantz
Boncy, Jacques
Wirth, Dyann F.
Chang, Michelle A.
Udhayakumar, Venkatachalam
Volkman, Sarah K.
author_sort Daniels, Rachel F.
collection PubMed
description BACKGROUND: With increasing interest in eliminating malaria from the Caribbean region, Haiti is one of the two countries on the island of Hispaniola with continued malaria transmission. While the Haitian population remains at risk for malaria, there are a limited number of cases annually, making conventional epidemiological measures such as case incidence and prevalence of potentially limited value for fine-scale resolution of transmission patterns and trends. In this context, genetic signatures may be useful for the identification and characterization of the Plasmodium falciparum parasite population in order to identify foci of transmission, detect outbreaks, and track parasite movement to potentially inform malaria control and elimination strategies. METHODS: This study evaluated the genetic signals based on analysis of 21 single-nucleotide polymorphisms (SNPs) from 462 monogenomic (single-genome) P. falciparum DNA samples extracted from dried blood spots collected from malaria-positive patients reporting to health facilities in three southwestern Haitian departments (Nippes, Grand’Anse, and Sud) in 2016. RESULTS: Assessment of the parasite genetic relatedness revealed evidence of clonal expansion within Nippes and the exchange of parasite lineages between Nippes, Sud, and Grand'Anse. Furthermore, 437 of the 462 samples shared high levels of genetic similarity–at least 20 of 21 SNPS–with at least one other sample in the dataset. CONCLUSIONS: These results revealed patterns of relatedness suggestive of the repeated recombination of a limited number of founding parasite types without significant outcrossing. These genetic signals offer clues to the underlying relatedness of parasite populations and may be useful for the identification of the foci of transmission and tracking of parasite movement in Haiti for malaria elimination.
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spelling pubmed-75832112020-10-26 Genetic analysis reveals unique characteristics of Plasmodium falciparum parasite populations in Haiti Daniels, Rachel F. Chenet, Stella Rogier, Eric Lucchi, Naomi Herman, Camelia Pierre, Baby Lemoine, Jean Frantz Boncy, Jacques Wirth, Dyann F. Chang, Michelle A. Udhayakumar, Venkatachalam Volkman, Sarah K. Malar J Research BACKGROUND: With increasing interest in eliminating malaria from the Caribbean region, Haiti is one of the two countries on the island of Hispaniola with continued malaria transmission. While the Haitian population remains at risk for malaria, there are a limited number of cases annually, making conventional epidemiological measures such as case incidence and prevalence of potentially limited value for fine-scale resolution of transmission patterns and trends. In this context, genetic signatures may be useful for the identification and characterization of the Plasmodium falciparum parasite population in order to identify foci of transmission, detect outbreaks, and track parasite movement to potentially inform malaria control and elimination strategies. METHODS: This study evaluated the genetic signals based on analysis of 21 single-nucleotide polymorphisms (SNPs) from 462 monogenomic (single-genome) P. falciparum DNA samples extracted from dried blood spots collected from malaria-positive patients reporting to health facilities in three southwestern Haitian departments (Nippes, Grand’Anse, and Sud) in 2016. RESULTS: Assessment of the parasite genetic relatedness revealed evidence of clonal expansion within Nippes and the exchange of parasite lineages between Nippes, Sud, and Grand'Anse. Furthermore, 437 of the 462 samples shared high levels of genetic similarity–at least 20 of 21 SNPS–with at least one other sample in the dataset. CONCLUSIONS: These results revealed patterns of relatedness suggestive of the repeated recombination of a limited number of founding parasite types without significant outcrossing. These genetic signals offer clues to the underlying relatedness of parasite populations and may be useful for the identification of the foci of transmission and tracking of parasite movement in Haiti for malaria elimination. BioMed Central 2020-10-23 /pmc/articles/PMC7583211/ /pubmed/33097045 http://dx.doi.org/10.1186/s12936-020-03439-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Daniels, Rachel F.
Chenet, Stella
Rogier, Eric
Lucchi, Naomi
Herman, Camelia
Pierre, Baby
Lemoine, Jean Frantz
Boncy, Jacques
Wirth, Dyann F.
Chang, Michelle A.
Udhayakumar, Venkatachalam
Volkman, Sarah K.
Genetic analysis reveals unique characteristics of Plasmodium falciparum parasite populations in Haiti
title Genetic analysis reveals unique characteristics of Plasmodium falciparum parasite populations in Haiti
title_full Genetic analysis reveals unique characteristics of Plasmodium falciparum parasite populations in Haiti
title_fullStr Genetic analysis reveals unique characteristics of Plasmodium falciparum parasite populations in Haiti
title_full_unstemmed Genetic analysis reveals unique characteristics of Plasmodium falciparum parasite populations in Haiti
title_short Genetic analysis reveals unique characteristics of Plasmodium falciparum parasite populations in Haiti
title_sort genetic analysis reveals unique characteristics of plasmodium falciparum parasite populations in haiti
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583211/
https://www.ncbi.nlm.nih.gov/pubmed/33097045
http://dx.doi.org/10.1186/s12936-020-03439-7
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