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Longitudinal analysis of Plasmodium falciparum genetic variation in Turbo, Colombia: implications for malaria control and elimination

BACKGROUND: Malaria programmes estimate changes in prevalence to evaluate their efficacy. In this study, parasite genetic data was used to explore how the demography of the parasite population can inform about the processes driving variation in prevalence. In particular, how changes in treatment and...

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Autores principales: Chenet, Stella M., Taylor, Jesse E., Blair, Silvia, Zuluaga, Lina, Escalante, Ananias A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4578328/
https://www.ncbi.nlm.nih.gov/pubmed/26395166
http://dx.doi.org/10.1186/s12936-015-0887-9
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author Chenet, Stella M.
Taylor, Jesse E.
Blair, Silvia
Zuluaga, Lina
Escalante, Ananias A.
author_facet Chenet, Stella M.
Taylor, Jesse E.
Blair, Silvia
Zuluaga, Lina
Escalante, Ananias A.
author_sort Chenet, Stella M.
collection PubMed
description BACKGROUND: Malaria programmes estimate changes in prevalence to evaluate their efficacy. In this study, parasite genetic data was used to explore how the demography of the parasite population can inform about the processes driving variation in prevalence. In particular, how changes in treatment and population movement have affected malaria prevalence in an area with seasonal malaria. METHODS: Samples of Plasmodium falciparum collected over 8 years from a population in Turbo, Colombia were genotyped at nine microsatellite loci and three drug-resistance loci. These data were analysed using several population genetic methods to detect changes in parasite genetic diversity and population structure. In addition, a coalescent-based method was used to estimate substitution rates at the microsatellite loci. RESULTS: The estimated mean microsatellite substitution rates varied between 5.35 × 10(−3) and 3.77 × 10(−2) substitutions/locus/month. Cluster analysis identified six distinct parasite clusters, five of which persisted for the full duration of the study. However, the frequencies of the clusters varied significantly between years, consistent with a small effective population size. CONCLUSIONS: Malaria control programmes can detect re-introductions and changes in transmission using rapidly evolving microsatellite loci. In this population, the steadily decreasing diversity and the relatively constant effective population size suggest that an increase in malaria prevalence from 2004 to 2007 was primarily driven by local rather than imported cases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-015-0887-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-45783282015-09-23 Longitudinal analysis of Plasmodium falciparum genetic variation in Turbo, Colombia: implications for malaria control and elimination Chenet, Stella M. Taylor, Jesse E. Blair, Silvia Zuluaga, Lina Escalante, Ananias A. Malar J Research BACKGROUND: Malaria programmes estimate changes in prevalence to evaluate their efficacy. In this study, parasite genetic data was used to explore how the demography of the parasite population can inform about the processes driving variation in prevalence. In particular, how changes in treatment and population movement have affected malaria prevalence in an area with seasonal malaria. METHODS: Samples of Plasmodium falciparum collected over 8 years from a population in Turbo, Colombia were genotyped at nine microsatellite loci and three drug-resistance loci. These data were analysed using several population genetic methods to detect changes in parasite genetic diversity and population structure. In addition, a coalescent-based method was used to estimate substitution rates at the microsatellite loci. RESULTS: The estimated mean microsatellite substitution rates varied between 5.35 × 10(−3) and 3.77 × 10(−2) substitutions/locus/month. Cluster analysis identified six distinct parasite clusters, five of which persisted for the full duration of the study. However, the frequencies of the clusters varied significantly between years, consistent with a small effective population size. CONCLUSIONS: Malaria control programmes can detect re-introductions and changes in transmission using rapidly evolving microsatellite loci. In this population, the steadily decreasing diversity and the relatively constant effective population size suggest that an increase in malaria prevalence from 2004 to 2007 was primarily driven by local rather than imported cases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-015-0887-9) contains supplementary material, which is available to authorized users. BioMed Central 2015-09-22 /pmc/articles/PMC4578328/ /pubmed/26395166 http://dx.doi.org/10.1186/s12936-015-0887-9 Text en © Chenet et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research
Chenet, Stella M.
Taylor, Jesse E.
Blair, Silvia
Zuluaga, Lina
Escalante, Ananias A.
Longitudinal analysis of Plasmodium falciparum genetic variation in Turbo, Colombia: implications for malaria control and elimination
title Longitudinal analysis of Plasmodium falciparum genetic variation in Turbo, Colombia: implications for malaria control and elimination
title_full Longitudinal analysis of Plasmodium falciparum genetic variation in Turbo, Colombia: implications for malaria control and elimination
title_fullStr Longitudinal analysis of Plasmodium falciparum genetic variation in Turbo, Colombia: implications for malaria control and elimination
title_full_unstemmed Longitudinal analysis of Plasmodium falciparum genetic variation in Turbo, Colombia: implications for malaria control and elimination
title_short Longitudinal analysis of Plasmodium falciparum genetic variation in Turbo, Colombia: implications for malaria control and elimination
title_sort longitudinal analysis of plasmodium falciparum genetic variation in turbo, colombia: implications for malaria control and elimination
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4578328/
https://www.ncbi.nlm.nih.gov/pubmed/26395166
http://dx.doi.org/10.1186/s12936-015-0887-9
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